CN116767738A - A three-dimensional protection device and protection method for oil and gas hazardous chemicals storage - Google Patents

Abstract

The invention discloses a three-dimensional protection device and a protection method for oil-gas dangerous chemicals storage, belonging to the technical field of oil-gas storage; the system comprises a background processing subsystem, at least 2 fixed point monitoring subsystems, at least 1 ground inspection subsystem and at least 1 air inspection subsystem; on the basis of arranging fixed-point monitoring subsystems and fixed-point monitoring, a ground inspection subsystem and an air inspection subsystem are arranged, inspection is performed through an inspection robot and an inspection unmanned aerial vehicle, monitoring information such as hydrocarbon gas information is taken by monitoring equipment, and the monitoring information is uploaded to a background server through a fixed-point processor, the inspection robot and the inspection unmanned aerial vehicle to identify risk point conditions, so that fixed-point monitoring and omnibearing inspection monitoring of the three-dimensional structure of the whole warehouse area can be realized.

Description

A three-dimensional protection device and protection method for oil and gas hazardous chemicals storage

Technical field

The invention relates to the technical field of oil and gas storage, in particular to a three-dimensional protection device and protection method for oil and gas hazardous chemical storage.

Background technique

When hazardous chemicals such as oil and gas are stored in storage tanks, various combustion and explosion accidents are prone to occur due to inadequate management and protection. At present, the safety protection monitoring of oil and gas storage tanks is mainly based on the monitoring and linkage of risk point valves, connection junctions and other points, lines and surfaces.

It can be seen that the current monitoring system can only be limited to fixed-point monitoring on points, lines, and surfaces, and cannot conduct comprehensive inspection and monitoring of the entire three-dimensional structure of the storage area. Moreover, the current monitoring system generally uses single-point equipment for monitoring (single-point monitoring) for monitored points (risk points). First, it is easily affected by windy weather and rainy weather. Second, there are corners and blind spots in the monitoring, which is not enough. It is three-dimensional, comprehensive and all-round, resulting in large monitoring errors and a high false alarm rate.

Contents of the invention

The purpose of the present invention is to provide a three-dimensional protection device and protection method for oil and gas hazardous chemical storage in response to the above problems, which can realize fixed-point monitoring and all-round inspection and monitoring of the three-dimensional structure of the entire storage area.

In order to achieve the above objects, the technical solutions adopted by the present invention are:

A three-dimensional protection device and protection method for oil and gas hazardous chemicals storage. The three-dimensional storage protection device includes a background processing subsystem and at least 2 fixed-point monitoring subsystems, at least 1 ground inspection subsystem, and at least 1 aerial inspection subsystem. ; Protection methods based on three-dimensional storage protection devices include the following:

Step S1: Perform three-dimensional modeling based on the physical layout and geodetic coordinates of the oil and gas storage area to obtain a three-dimensional storage model;

Step S2: Divide the three-dimensional warehousing model into a three-dimensional grid, and mark the risk attribute characteristics in the three-dimensional grid; where the risk attribute characteristics are divided according to the risk points of the warehouse area and the high, medium and low risk levels of the risk area;

Step S3: Lay out the monitoring points based on the risk attribute characteristics on the warehousing three-dimensional model; specifically include: arranging fixed-point monitoring subsystem monitoring points according to the "two lines intersect at one point" according to the risk attribute characteristics of low risk levels, and then arrange the monitoring points according to the risk level from low to high. Monitoring points are arranged at a high level of density; and, the inspection routes of the ground inspection subsystem and the air inspection subsystem are planned to cover all risk attribute characteristics for inspection;

Step S4: Obtain the monitoring information and geodetic coordinate information of risk points and risk areas by the fixed-point monitoring subsystem, ground inspection subsystem and aerial inspection subsystem, and associate the three-dimensional network corresponding to the location of each monitoring information according to the geodetic coordinate information. grid, process the monitoring information to obtain monitoring data, and then select the corresponding color to mark the corresponding three-dimensional grid according to the range of the monitoring data;

The following steps are also included between steps S3 and S4: Step S3.5: Arrange fixed-point monitoring subsystems, ground inspection subsystems and aerial inspection subsystems in the oil and gas storage area according to the three-dimensional storage model monitoring point layout.

The background processing subsystem includes a background server and a background display screen connected to the background server. The fixed-point monitoring subsystem includes a fixed-point processor and a monitoring equipment group connected to the fixed-point processor. The ground inspection subsystem includes an inspection robot and an inspection robot. The connected monitoring equipment group, the aerial inspection subsystem includes the inspection drone and the monitoring equipment group connected to the inspection drone, the background server communicates with the fixed-point processor, the ground inspection subsystem and the aerial inspection subsystem respectively connect;

The monitoring equipment group includes an infrared spectrum gas identifier, and the infrared spectrum gas identifier is connected to the fixed-point processor; at this time, in step S4, the monitoring information includes hydrocarbon gas information, and the hydrocarbon gas information is processed to obtain hydrocarbon gas data, and then based on Select the corresponding color to mark the corresponding three-dimensional grid in the range to which the hydrocarbon gas data belongs.

As mentioned above, on the basis of fixed-point monitoring, there are ground inspection subsystems and aerial inspection subsystems. Inspection is carried out through inspection robots and inspection drones. The monitoring equipment ingests monitoring information such as hydrocarbon gas information and passes it through The fixed-point processor, inspection robot and inspection drone are then uploaded to the back-end server, which can realize fixed-point monitoring and all-round inspection monitoring of the entire three-dimensional structure of the storage area.

In order to solve the problem of high false alarm rate in single-point monitoring, at least two fixed-point monitoring subsystems are arranged so that each monitored point is covered by the monitoring equipment group monitoring area of more than two fixed-point monitoring subsystems. Therefore, each monitoring point has more than 2 monitoring equipment groups covering the monitoring area to verify each other, so as to reduce monitoring errors and reduce the rate of accidental explosions. In order to further optimize the monitoring points, at least two fixed-point monitoring subsystems include fixed-point monitoring subsystem I and fixed-point monitoring subsystem II. Fixed-point monitoring subsystem I is arranged in the bottom height area, and fixed-point monitoring subsystem II is arranged in the middle height area. According to height High and low layered monitoring, optimizing the layout of monitoring points.

Based on the above solution, in an improved solution, in order to solve the problem of video and temperature monitoring to further optimize monitoring factors, the monitoring equipment group includes an infrared camera, and the infrared camera is connected to a fixed-point processor; at this time, in step S4, the monitoring information includes infrared video/ Image information, process the infrared image information to obtain temperature data, and then select the corresponding color to mark the corresponding three-dimensional grid according to the range of the temperature data; when the monitoring information includes infrared video/image information, the specific layout of the fixed-point monitoring subsystem in step S3 is: In view of the risk attribute characteristics of low risk level, each risk point is arranged to be covered by infrared video/image information of at least 2 fixed-point monitoring subsystems, and the infrared video/image information of one of the fixed-point monitoring subsystems is also covered by the infrared video/image information of another fixed-point monitoring subsystem and risk. After that, the monitoring points are encrypted and arranged step by step according to the risk level from low to high; when the monitoring information includes infrared video/image information, step S4 also includes the following content: using the configured image comparison module to analyze and process the image information, and The current image is compared with the past image to identify the difference area of the warehousing entity. Then the 3D grid of the corresponding position of the warehousing 3D model is marked with a different color from the original 3D model, and an alarm is triggered; the configured gesture recognition module is used to analyze and process the image. Information, identify staff's illegal operations and trigger alarms; use the configured face recognition module to analyze and process image information, identify staff information, and record staff employment information and illegal operations. In this way, video, image and temperature information can be obtained, and then the image and temperature monitoring of the monitored point can be carried out, as well as the illegal operation behaviors of staff such as smoking and not wearing safety helmets can be monitored to further improve the monitoring.

Based on the above solution, in an improved solution, the monitoring equipment group also includes a sound sensor, and the sound sensor is connected to the fixed-point processor; at this time, in step S4, the monitoring information includes sound information, the sound information is processed to obtain sound data, and then the sound data is obtained according to the sound Select the corresponding color to mark the three-dimensional grid of the corresponding monitoring point in the range of the data; use the configured sound comparison module to analyze and process the sound data, compare the current sound decibel data with the past sound decibel data to determine whether there is abnormal sound. If there is abnormal sound, An alarm is triggered. Further improvement, in step S4, if there is abnormal noise, the following processing is performed: the configured sound source identification module is used to analyze and process the sound data, and the sound source of the current sound data is identified based on its pre-trained model. In this way, the monitoring equipment can collect abnormal sounds with a sound intensity greater than a certain decibel (for example, 60 decibels), and can transmit it to the backend server for storage and processing, so as to quickly identify sounds such as pipe breaks and oil and gas leaks, and even identify pipe breaks and oil and gas leaks. and other sound sources.

Due to the adoption of the above technical solutions, the present invention has the following beneficial effects:

1. Based on the fixed-point monitoring of the fixed-point monitoring subsystem, the present invention is provided with a ground inspection subsystem and an aerial inspection subsystem. Inspection is carried out through inspection robots and inspection drones, in which the monitoring equipment ingests hydrocarbon gases. Monitoring information such as information is uploaded to the backend server through fixed-point processors, inspection robots and inspection drones to identify risk point conditions, which can realize fixed-point monitoring and all-round inspection monitoring of the entire three-dimensional structure of the storage area.

2. This invention uses two lines to intersect at a point to arrange the camera to determine the exact XYZ three-dimensional coordinate system of the point, instead of connecting two points on the plane to form a line. With the assistance and confirmation of the surrounding cameras, from another angle To measure the distance between the previous camera and the risk point, the two monitoring lines of sight intersect at that point. Combining these two cameras will help improve the accuracy. The XYZ three-dimensional coordinates of the point can be completely and accurately determined. More Accurate and precise.

Description of drawings

Figure 1 is a flow chart of the protection method of the present invention.

Figure 2 is a block diagram of the protective device system of the present invention.

Figure 3 is a block diagram of an example architecture of a monitoring equipment group of the present invention.

Detailed ways

The specific implementation of the invention will be further described below with reference to the accompanying drawings.

Example 1

Referring to Figures 1 to 3, this embodiment shows a three-dimensional protection device and protection method for oil and gas hazardous chemicals storage. The three-dimensional protection device includes a background processing subsystem, at least two fixed-point monitoring subsystems, and at least one ground inspection. Subsystem, at least 1 air patrol subsystem, the background processing subsystem includes a background server and a background display screen connected to the background server, the fixed-point monitoring subsystem includes a fixed-point processor and a monitoring equipment group connected to the fixed-point processor, the ground patrol subsystem The inspection subsystem includes an inspection robot and a monitoring equipment group connected to the inspection robot. The aerial inspection subsystem includes an inspection drone and a monitoring equipment group connected to the inspection drone. The background server is connected to the fixed-point processor, Communication connection between ground inspection subsystem and air inspection subsystem. Protection methods based on three-dimensional storage protection devices include the following:

Step S1: Perform three-dimensional modeling based on the physical layout and geodetic coordinates of the oil and gas storage area to obtain a three-dimensional storage model;

Step S2: Divide the three-dimensional warehousing model into a three-dimensional grid, and mark the risk attribute characteristics in the three-dimensional grid; where the risk attribute characteristics are divided according to the risk points of the warehouse area and the high, medium and low risk levels of the risk area;

Step S3: Lay out the monitoring points based on the risk attribute characteristics on the warehousing three-dimensional model; specifically include: arranging fixed-point monitoring subsystem monitoring points according to the "two lines intersect at one point" according to the risk attribute characteristics of low risk levels, and then arrange the monitoring points according to the risk level from low to high. Monitoring points are arranged at a high level of density; and, the inspection routes of the ground inspection subsystem and the air inspection subsystem are planned to cover all risk attribute characteristics for inspection;

Step S4: Obtain the monitoring information and geodetic coordinate information of risk points and risk areas by the fixed-point monitoring subsystem, ground inspection subsystem and aerial inspection subsystem, and associate the three-dimensional network corresponding to the location of each monitoring information according to the geodetic coordinate information. grid, process the monitoring information to obtain monitoring data, and then select the corresponding color to mark the corresponding three-dimensional grid according to the range of the monitoring data;

The following steps are also included between steps S3 and S4: Step S3.5: Arrange fixed-point monitoring subsystems, ground inspection subsystems and aerial inspection subsystems in the oil and gas storage area according to the three-dimensional storage model monitoring point layout.

The fixed-point monitoring subsystem is equipped with a fixed-point power supply for power supply, which can be plugged into the mains (AC220V) using a power adapter and equipped with a lithium battery; the background processing subsystem is equipped with a background power supply for power supply, and the background server and background display are respectively connected to the standard power supply Wire connected to mains power. The background processing subsystem, fixed-point monitoring subsystem, inspection robots, inspection drones and their wireless communication connections and controls are all existing technologies. WiFi modules can be combined with routers to build a local area network for wireless connection in the entire storage area, or Wireless connection through the 4G/5G module allows the processor to communicate with the upper-layer back-end server based on the IP protocol to transmit data to the back-end server in real time. I will not go into details here; for example, on the purchased DJI drone Install an infrared spectrum gas identifier, and the infrared spectrum gas identifier is connected through industry standard data. In the scenario of Embodiment 4 described later, the monitoring equipment group is composed of an infrared camera configured with a DJI drone and an infrared spectrum gas identifier. .

The monitoring equipment group includes an infrared spectrum gas identifier, which is connected to a fixed-point processor. The infrared spectrum gas identifier can obtain hydrocarbon gas information and upload it to the fixed-point processor, and then the fixed-point processor uploads the hydrocarbon gas information to the backend server, and then the backend server analyzes and identifies the hydrocarbon gas information to realize hydrocarbon gas Real-time and remote monitoring. The infrared spectrum gas identifier is an existing component, and existing technologies are used to analyze and identify hydrocarbon gas information, which will not be explained here. At this time, in step S4, the monitoring information includes hydrocarbon gas information, the hydrocarbon gas information is processed to obtain hydrocarbon gas data, and then the corresponding color is selected to mark the corresponding three-dimensional grid according to the range to which the hydrocarbon gas data belongs. For example, according to the hydrocarbon gas data The concentration range is divided into three levels from low to high, corresponding to green, yellow and red.

As mentioned above, on the basis of fixed-point monitoring, there are ground inspection subsystems and aerial inspection subsystems. Inspection is carried out through inspection robots and inspection drones. The monitoring equipment ingests monitoring information such as hydrocarbon gas information and passes it through The fixed-point processor, inspection robot and inspection drone are then uploaded to the back-end server, which can realize fixed-point monitoring and all-round inspection monitoring of the entire three-dimensional structure of the storage area.

In order to solve the problem of high false alarm rate in single-point monitoring, at least two fixed-point monitoring subsystems are arranged so that each monitored point is covered by the monitoring equipment group monitoring area of more than two fixed-point monitoring subsystems. Therefore, each monitoring point has more than 2 monitoring equipment groups covering the monitoring area to verify each other, so as to reduce monitoring errors and reduce the rate of accidental explosions. In order to further optimize the monitoring points, at least two fixed-point monitoring subsystems include fixed-point monitoring subsystem I and fixed-point monitoring subsystem II. Fixed-point monitoring subsystem I is arranged in the bottom height area, and fixed-point monitoring subsystem II is arranged in the middle height area. According to height High and low layered monitoring, optimizing the layout of monitoring points.

Example 2

On the basis of Embodiment 1, this embodiment has been improved. For details, please refer to the aforementioned Embodiment 1.

In order to solve video and temperature monitoring to further optimize monitoring factors, the monitoring equipment group includes infrared cameras, which are connected to fixed-point processors. Infrared cameras, their connections, and image processing technologies are all existing technologies that can be purchased directly on the market and connected using factory-configured industry standard cables, and will not be described again here.

At this time, in step S4, the monitoring information includes infrared video/image information, the infrared image information is processed to obtain temperature data, and then the corresponding color is selected to mark the corresponding three-dimensional grid according to the range of the temperature data, for example, it is divided into categories from low to high according to the temperature range. Level three corresponds to green, yellow and red.

In the case where the monitoring information includes infrared video/image information, the specific layout of the fixed-point monitoring subsystem in step S3 is: according to the low-risk level risk attribute characteristics, each risk point is arranged to be covered by at least 2 fixed-point monitoring subsystems with infrared video/image information. And the infrared video/image information of one of the fixed-point monitoring subsystems also covers other fixed-point monitoring subsystems and risk points. After that, the monitoring points are encrypted and arranged step by step from low to high according to the risk level. "Two lines intersect at one point" deployment control: Because relying on a monitoring device alone can only determine the situation in a certain direction, it is impossible to accurately determine the exact coordinate point XYZ in the three-dimensional space (geodetic coordinates, which can be directly replaced with other coordinate systems), so it is necessary to Another monitoring device can be dislocated at the bottom or other parts. Through the two devices, for a certain monitoring point, if the two lines intersect at a point, the three-dimensional coordinates XYZ of the point can be accurately obtained. Two lines intersect at a point to determine the exact XYZ three-dimensional coordinate system of the point, rather than the two points in the plan view connecting to a line. If there is only one camera for monitoring, it is difficult to distinguish the exact XYZ position, especially the position facing the camera. You know which line it is projected on, but you cannot tell how far away it is. At this time, you need the help of surrounding cameras. From another angle, measure the distance between the previous camera and the risk point. At this time, we are talking about two cameras. The two monitoring lines of sight intersect at that point. Combining these two cameras, the point can be completely and accurately determined. The XYZ three-dimensional coordinates of the location.

In the case where the monitoring information includes infrared video/image information, step S4 also includes the following content: using the configured image comparison module to analyze and process the image information, compare the current image with the past image to identify the difference area of the warehousing entity, and then The corresponding location of the warehousing 3D model is marked with a 3D grid in a different color from the original 3D model, and an alarm is triggered. Based on the aforementioned image comparison example, in an improved example, the configured gesture recognition module is used to analyze and process the image information, identify the illegal work behavior of the staff, and trigger an alarm. Based on the aforementioned gesture recognition example, in an improved example, the configured face recognition module is used to analyze and process image information, identify staff information, and record staff employment information and illegal work behaviors. In this way, video, image and temperature information can be obtained, and then the image and temperature monitoring of the monitored point can be carried out, as well as the illegal operation behaviors of staff such as smoking and not wearing safety helmets can be monitored to further improve the monitoring.

Example 3

On the basis of Embodiment 1 or 2, this embodiment is improved. For details, please refer to the aforementioned Embodiments 1-2.

The monitoring equipment group also includes a sound sensor, which is connected to the fixed-point processor. Sound sensors and their connections, as well as audio information processing and comparison decibel technology, are all existing technologies that can be purchased directly on the market and connected using factory-configured industry standard cables, and will not be described again here. At this time, in step S4, the monitoring information includes sound information, the sound information is processed to obtain sound data, and then the corresponding colors are selected to mark the three-dimensional grid of the corresponding monitoring points according to the range of the sound data. For example, the sound decibel range is divided into three parts from low to high. Mark the three-dimensional network corresponding to the layout point of the monitoring equipment group in green, yellow and red; use the configured sound comparison module to analyze and process the sound data, compare the current sound decibel data with the past sound decibel data to determine whether there is abnormal sound , if there is abnormal noise, an alarm will be triggered. Based on the aforementioned sound comparison decibel example, in an improved example, in step S4, if there is abnormal noise, the following processing is performed: the configured sound source identification module is used to analyze and process the sound data, and the current sound data is identified based on its pre-trained model. Sound source. In this way, the monitoring equipment can collect abnormal sounds with a sound intensity greater than a certain decibel (for example, 60 decibels), and can transmit it to the backend server for storage and processing, so as to quickly identify sounds such as pipe breaks and oil and gas leaks, and even identify pipe breaks and oil and gas leaks. and other sound sources.

As mentioned above, the combination of all the above example features forms the optimal example, which will be further explained below:

Carry out three-dimensional three-dimensional modeling and grid division of the oil and gas storage tank area; classify the risk points and risk areas in the oil and gas tank area into high, medium and low levels, and label attribute features within the three-dimensional grid.

According to the division of risk points and risk areas, the three-dimensional space optimization layout is carried out, monitoring points are deployed according to the "two lines intersect at one point", and the bottom monitoring point and the middle monitoring point are set up. The top monitoring point is optimized by drones to complete inspection and monitoring; the key points are Risk locations and risk areas will be monitored intensively. All installed monitoring equipment (infrared spectrum gas identifiers, infrared cameras) have the sensing function of infrared temperature monitoring, and are capable of detecting and identifying the types and concentrations of hydrocarbon volatiles such as oil and gas.

The signal data collected by the monitoring equipment (infrared spectrum gas identifier, infrared camera) is quickly transmitted to the backend server through 5G, and then processed through artificial intelligence pattern recognition (the image processing and audio processing are all done using existing With technology), it can quickly identify the types, concentrations and diffusion evolution processes of hydrocarbon volatiles, and can identify illegal operating behaviors such as smoking, not wearing safety helmets, talking on mobile phones, and not wearing safety ropes when working at heights, and capture and track records. , it can also identify temperature anomalies (the temperature field is too high or too low compared to the surrounding area and can be identified and the difference is displayed in different colors), and it can identify sparks, combustion, flames or leaking liquid and diffusion, or leaking gas and diffusion.

The monitored equipment (infrared camera) deployed can record 24 hours of uninterrupted video and has infrared night vision function. The acquired data is transmitted to the background and saved. After image comparison processing by the expert system, it can be set to the same as the previous 1 hour (1 Compare images at irregular periods such as days, weeks, months, or a year, identify deformations, misalignments, etc. that may lead to safety hazards, and issue alarms.

The monitoring equipment (infrared camera) deployed is equipped with a face recognition module (the face recognition module is an existing technology), which can identify the inspection personnel on duty and record the inspection time, so as to determine whether the inspection is on time or off duty ( Failure to perform inspections on time or missing inspections, or off-duty behavior such as sleeping, issuing early warning or alarm prompts).

There are two types of cameras. One is fixed on a lamppost, and the other is a mobile mounted on a cruise robot that can move freely. For fixed cameras, the location is fixed. During the initial installation and debugging, it is necessary to Facing the risk parts (such as key parts of storage tanks, or parts prone to leakage such as valves), the wide angle of the camera should be as wide as possible (seeing a wider area as much as possible), and the camera itself has the ability to detect the objects being monitored. The position (XYZ coordinate system, which is actually the three parameters of longitude, latitude and altitude) needs to be confirmed by two surrounding cameras because one camera can easily cause large errors, just like a person with only one eye, what he sees The specific location of the object may have a large error, and a pair of eyes is needed to determine the specific location more accurately. Confirmation by surrounding cameras will help improve accuracy and make it more accurate and precise. In the second case, the processing of the camera taken by the mobile robot must add the specific position of the mobile robot (no need to trigger, real-time continuous positioning) as the coordinate origin (according to the data obtained by real-time positioning, the coordinate origin will also change accordingly) ), and then superimpose the position of the risk point seen (XYZ is as described in the first case above). After the two coordinate systems are superimposed and summed, the specific and real XYZ position is obtained; the specific layout and installation position of the fixed camera is as follows The requirement to maximize the coverage area is that in any risk point area, at least two or more cameras can be monitored to facilitate confirmation by both parties to avoid misjudgment or excessive errors; the functions of each camera are the same, and there is no special functional distinction. After acquiring the image, the positioning and processing data process is based on the existing one. The camera itself has positioning function. It is equipped with Beidou positioning chip and processing system, which can directly obtain the real-time position XYZ (latitude, longitude and altitude).

The deployed monitoring equipment (sound sensor) can collect abnormal sounds with a sound intensity greater than 60 decibels, and can transmit it to the backend server for storage and processing, so as to quickly identify sounds such as tank rupture, pipeline rupture, oil and gas leakage, etc.

The ground inspection subsystem monitoring equipment used in ground inspection monitoring points all have the above functions. The inspection robot can move along the ground uninterruptedly, replacing manual labor, and conduct irregular patrol inspections to monitor and identify risk conditions. . The aerial inspection subsystem monitoring equipment used at the top inspection monitoring point all has the above functions. The inspection drone conducts irregular patrol inspections and monitoring. Especially when there are abnormal situations or alarms, it is dispatched to look down from the top to identify Confirm risk profile.

UAVs and ground inspection robots have Beidou positioning systems for real-time positioning. They know the exact longitude, latitude and height of the three-dimensional coordinates. The two-layer monitoring points (fixed-point monitoring) at the middle and bottom are deployed and controlled because they are relatively fixed and require layout optimization. On the one hand, they must Monitor the surrounding conditions as much as possible, consider it from a wide-angle perspective, and have a certain overlap with the surrounding fixed-point monitoring monitoring equipment. According to the layout and location of the storage tanks on site, optimize the setting of control monitoring points to ensure that all spatial three-dimensional grids are uniform. Being monitored, there are no blind spots or dead ends.

There are many traditional blind spots and dead ends, which are prone to missed reports due to insufficient monitoring. The storage area is gridded, and the layout of monitoring is optimized according to the risk level, medium and low, to avoid the traditional monitoring of only certain parts and insufficient comprehensive.

The monitoring equipment has been upgraded and expanded to include functions such as infrared temperature identification and infrared spectrum identification of hydrocarbon gases.

Using advanced 5G transmission technology, the transmission speed is faster, which is conducive to rapid storage and data processing, and the response is more timely, which is conducive to quickly identifying the occurrence of risky and dangerous accidents, racing against time, and avoiding the expansion of accidents.

The backend server has been upgraded with artificial intelligence (existing technology) and identified many violations.

The above forms a multi-angle, all-round three-dimensional monitoring and protection system, 360° panoramic monitoring, similar to CT whole-body scanning, monitoring from different angles and directions, and analyzing the changes in risk points and dangerous conditions of the three-dimensional structure of the warehouse.

The invention monitors whether the outside of the pipeline or the storage tank is corroded, deformed, leaked, the temperature decreases, and whether there is hydrocarbon leakage gas infrared induction identification. It integrates remote infrared temperature induction identification, infrared identification of hydrocarbon gas leakage concentration, and imaging functions. After processing in the background, visible violations such as smoking and not wearing a helmet are identified.

Example 4

This Embodiment 4 is a separate example of the warehousing three-dimensional model system arranged on the backend server in Embodiment 1. For unexplained descriptions of the feature combination scheme, specific features, technical effects, etc. of each example, please refer to the aforementioned Embodiments 1-3.

Referring to Figure 1, a three-dimensional protection system for oil and gas hazardous chemicals storage in this embodiment has the following processing flow:

Step S1: Perform three-dimensional modeling based on the physical layout and geodetic coordinates of the oil and gas storage area to obtain a three-dimensional storage model;

Step S2: Divide the three-dimensional warehousing model into a three-dimensional grid, and mark the risk attribute characteristics in the three-dimensional grid; where the risk attribute characteristics are divided according to the risk points of the warehouse area and the high, medium and low risk levels of the risk area;

Step S3: Lay out the monitoring points based on the risk attribute characteristics on the warehousing three-dimensional model; specifically include: arranging fixed-point monitoring subsystem monitoring points according to the "two lines intersect at one point" according to the risk attribute characteristics of low risk levels, and then arrange the monitoring points according to the risk level from low to high. Monitoring points are arranged at a high level of density; and, the inspection routes of the ground inspection subsystem and the air inspection subsystem are planned to cover all risk attribute characteristics for inspection;

Step S4: Obtain the monitoring information and geodetic coordinate information of risk points and risk areas by the fixed-point monitoring subsystem, ground inspection subsystem and aerial inspection subsystem, and associate the three-dimensional network corresponding to the location of each monitoring information according to the geodetic coordinate information. Grid, the monitoring information is processed to obtain monitoring data, and then the corresponding color is selected to mark the corresponding three-dimensional grid according to the range of the monitoring data; among them, the monitoring information is a fixed-point monitoring subsystem arranged in the oil and gas storage area according to the three-dimensional model monitoring point layout of the storage. It is monitored by the ground inspection subsystem and the air inspection subsystem.

Among them, the monitoring information includes hydrocarbon gas information. The hydrocarbon gas information is processed to obtain hydrocarbon gas data, and then the corresponding color is selected to mark the corresponding three-dimensional grid according to the range of the hydrocarbon gas data.

Based on the above example, in an improved example, in step S4, the monitoring information includes infrared video/image information, the infrared image information is processed to obtain temperature data, and then the corresponding color is selected to mark the corresponding three-dimensional grid according to the range of the temperature data. In the case where the monitoring information includes infrared video/image information, the specific layout of the fixed-point monitoring subsystem in step S3 is: according to the low-risk level risk attribute characteristics, each risk point is arranged to be covered by at least 2 fixed-point monitoring subsystems with infrared video/image information. And the infrared video/image information of one of the fixed-point monitoring subsystems also covers other fixed-point monitoring subsystems and risk points. After that, the monitoring points are encrypted and arranged step by step from low to high according to the risk level. In the case where the monitoring information includes infrared video/image information, step S4 also includes the following content: using the configured image comparison module to analyze and process the image information, compare the current image with the past image to identify the difference area of the warehousing entity, and then The corresponding position of the warehousing 3D model marks the 3D grid of the position with a different color from the original 3D model, and triggers an alarm; based on the above example, in an improved example, the configured posture recognition module is used to analyze and process the image information to identify the illegal operations of the staff. Behavior and trigger an alarm; based on the above example, in an improved example, the configured face recognition module is used to analyze and process image information, identify staff information, and record staff induction information and illegal operations.

Based on the above example, in an improved example, in step S4, the monitoring information includes sound information, the sound information is processed to obtain sound data, and then the corresponding color is selected to mark the three-dimensional grid of the corresponding monitoring point according to the range of the sound data; the configured sound is used The comparison module analyzes and processes the sound data, compares the current sound decibel data with the past sound decibel data to determine whether there is abnormal sound, and triggers an alarm if there is abnormal sound. Based on the above example, in an improved example, in step S4, if there is abnormal noise, the following processing is performed: the configured sound source identification module is used to analyze and process the sound data, and the sound source of the current sound data is identified based on its pre-trained model.

It should be pointed out that the examples of the above-mentioned embodiments may be preferably combined with one or two or more according to actual needs. Multiple examples are illustrated with a set of drawings that combine technical features, and will not be described one by one here.

The above descriptions are detailed descriptions and illustrations of the preferred and feasible embodiments of the present invention, but these descriptions are not intended to limit the scope of protection claimed by the present invention. All equivalent changes or modifications made under the technical teachings suggested by the present invention shall be regarded as It should fall within the scope of patent protection covered by this invention.

Claims (10)

1. A three-dimensional protection system for oil and gas hazardous chemicals storage, characterized by: its processing flow is as follows: Step S1: Perform three-dimensional modeling based on the physical layout and geodetic coordinates of the oil and gas storage area to obtain a three-dimensional storage model; Step S2: Divide the three-dimensional warehousing model into a three-dimensional grid, and mark the risk attribute characteristics in the three-dimensional grid; where the risk attribute characteristics are divided according to the risk points of the warehouse area and the high, medium and low risk levels of the risk area; Step S3: Lay out the monitoring points based on the risk attribute characteristics on the warehousing three-dimensional model; specifically include: arranging fixed-point monitoring subsystem monitoring points according to the "two lines intersect at one point" according to the risk attribute characteristics of low risk levels, and then arrange the monitoring points according to the risk level from low to high. Monitoring points are arranged at a high level of density; and, the inspection routes of the ground inspection subsystem and the air inspection subsystem are planned to cover all risk attribute characteristics for inspection; Step S4: Obtain the monitoring information and geodetic coordinate information of risk points and risk areas by the fixed-point monitoring subsystem, ground inspection subsystem and aerial inspection subsystem, and associate the three-dimensional network corresponding to the location of each monitoring information according to the geodetic coordinate information. Grid, the monitoring information is processed to obtain monitoring data, and then the corresponding color is selected to mark the corresponding three-dimensional grid according to the range of the monitoring data; among them, the monitoring information is a fixed-point monitoring subsystem arranged in the oil and gas storage area according to the three-dimensional model monitoring point layout of the storage. It is monitored by the ground inspection subsystem and the air inspection subsystem. 2. A three-dimensional protection system for oil and gas hazardous chemicals storage according to claim 1, characterized in that: in the step S4, the monitoring information includes hydrocarbon gas information, and the hydrocarbon gas information is processed to obtain hydrocarbon gas data. Then, according to the range of the hydrocarbon gas data, the corresponding color is selected to mark the corresponding three-dimensional grid. 3. A three-dimensional protection system for oil and gas hazardous chemicals storage according to claim 1, characterized in that: in step S4, the monitoring information includes infrared video/image information, and the infrared image information is processed to obtain temperature data, and then based on the temperature data Select the corresponding color to mark the corresponding three-dimensional grid in the range it belongs to; In the case where the monitoring information includes infrared video/image information, the specific layout of the fixed-point monitoring subsystem in step S3 is: according to the low-risk level risk attribute characteristics, each risk point is arranged to be covered by at least 2 fixed-point monitoring subsystems with infrared video/image information. And the infrared video/image information of one of the fixed-point monitoring subsystems also covers other fixed-point monitoring subsystems and risk points. After that, the monitoring points are encrypted and arranged step by step from low to high according to the risk level; In the case where the monitoring information includes infrared video/image information, step S4 also includes the following content: using the configured image comparison module to analyze and process the image information, compare the current image with the past image to identify the difference area of the warehousing entity, and then The corresponding position of the warehousing 3D model marks the 3D grid of the position with a different color from the original 3D model, and triggers an alarm; the configured posture recognition module is used to analyze and process the image information, identify the illegal operation behavior of the staff, and trigger the alarm; using the configured human The face recognition module analyzes and processes image information, identifies staff information, and records staff employment information and illegal work behaviors. 4. A three-dimensional protection system for oil and gas hazardous chemicals storage according to claim 1, characterized in that: in the step S4, the monitoring information includes sound information, the sound information is processed to obtain sound data, and then the sound data is processed according to the range to which the sound data belongs. Select the corresponding color to mark the three-dimensional grid of the corresponding monitoring point; use the configured sound comparison module to analyze and process the sound data, compare the current sound decibel data with the past sound decibel data to determine whether there is abnormal sound, and trigger an alarm if there is abnormal sound. . 5. A three-dimensional protection system for oil and gas hazardous chemicals storage according to claim 4, characterized in that: in step S4, if there is abnormal noise, the following processing is performed, and the configured sound source identification module is used to analyze and process the sound data. , based on its pre-trained model, identifies the sound source of the current sound data. 6. A three-dimensional protection device and protection method for oil and gas hazardous chemicals storage, characterized in that: the three-dimensional storage protection device includes a background processing subsystem and at least 2 fixed-point monitoring subsystems, at least 1 ground inspection subsystem, and at least 1 An aerial inspection subsystem; the protection method based on the three-dimensional storage protection device includes the following: Step S1: Perform three-dimensional modeling based on the physical layout and geodetic coordinates of the oil and gas storage area to obtain a three-dimensional storage model; Step S2: Divide the three-dimensional warehousing model into a three-dimensional grid, and mark the risk attribute characteristics in the three-dimensional grid; where the risk attribute characteristics are divided according to the risk points of the warehouse area and the high, medium and low risk levels of the risk area; Step S3: Lay out the monitoring points based on the risk attribute characteristics on the warehousing three-dimensional model; specifically include: arranging fixed-point monitoring subsystem monitoring points according to the "two lines intersect at one point" according to the risk attribute characteristics of low risk levels, and then arrange the monitoring points according to the risk level from low to high. Monitoring points are arranged at a high level of density; and, the inspection routes of the ground inspection subsystem and the air inspection subsystem are planned to cover all risk attribute characteristics for inspection; Step S4: Obtain the monitoring information and geodetic coordinate information of risk points and risk areas by the fixed-point monitoring subsystem, ground inspection subsystem and aerial inspection subsystem, and associate the three-dimensional network corresponding to the location of each monitoring information according to the geodetic coordinate information. grid, process the monitoring information to obtain monitoring data, and then select the corresponding color to mark the corresponding three-dimensional grid according to the range of the monitoring data; The following steps are also included between steps S3 and S4: Step S3.5: Arrange fixed-point monitoring subsystems, ground inspection subsystems and aerial inspection subsystems in the oil and gas storage area according to the three-dimensional storage model monitoring point layout. 7. A three-dimensional protection device and protection method for oil and gas hazardous chemicals storage according to claim 6, characterized in that: the background processing subsystem includes a background server and a background display screen connected to the background server, and a fixed-point monitoring subsystem. It includes a fixed-point processor and a monitoring equipment group connected to the fixed-point processor. The ground inspection subsystem includes an inspection robot and a monitoring equipment group connected to the inspection robot. The aerial inspection subsystem includes an inspection drone and an inspection equipment group. The monitoring equipment group connected to the drone, the background server communicates with the fixed-point processor, the ground inspection subsystem and the aerial inspection subsystem respectively; the monitoring equipment group includes an infrared spectrum gas identifier, an infrared spectrum gas identifier and a fixed-point processor Connection; in step S4, the monitoring information includes hydrocarbon gas information, the hydrocarbon gas information is processed to obtain hydrocarbon gas data, and then the corresponding color is selected to mark the corresponding three-dimensional grid according to the range to which the hydrocarbon gas data belongs. 8. A three-dimensional protection device and protection method for oil and gas hazardous chemicals storage according to claim 7, characterized in that: the monitoring equipment group includes an infrared camera, and the infrared camera is connected to a fixed-point processor; In step S4, the monitoring information includes infrared video/image information, the infrared image information is processed to obtain temperature data, and then the corresponding color is selected to mark the corresponding three-dimensional grid according to the range of the temperature data; In the case where the monitoring information includes infrared video/image information, the specific layout of the fixed-point monitoring subsystem in step S3 is: according to the low-risk level risk attribute characteristics, each risk point is arranged to be covered by at least 2 fixed-point monitoring subsystems with infrared video/image information. And the infrared video/image information of one of the fixed-point monitoring subsystems also covers other fixed-point monitoring subsystems and risk points. After that, the monitoring points are encrypted and arranged step by step from low to high according to the risk level; In the case where the monitoring information includes infrared video/image information, step S4 also includes the following content: using the configured image comparison module to analyze and process the image information, compare the current image with the past image to identify the difference area of the warehousing entity, and then The corresponding position of the warehousing 3D model marks the 3D grid of the position with a different color from the original 3D model, and triggers an alarm; the configured posture recognition module is used to analyze and process the image information, identify the illegal operation behavior of the staff, and trigger the alarm; using the configured human The face recognition module analyzes and processes image information, identifies staff information, and records staff employment information and illegal work behaviors. 9. A three-dimensional protection device and protection method for oil and gas hazardous chemicals storage according to claim 7, characterized in that: the monitoring equipment group further includes a sound sensor, and the sound sensor is connected to a fixed-point processor; In step S4, the monitoring information includes sound information, the sound information is processed to obtain sound data, and then the corresponding color is selected to mark the three-dimensional grid of the corresponding monitoring point according to the range of the sound data; the configured sound comparison module is used to analyze and process the sound data, and the current The sound decibel data is compared with past sound decibel data to determine whether there is abnormal sound. If there is abnormal sound, an alarm is triggered. 10. A three-dimensional protection device and protection method for oil and gas hazardous chemicals storage according to claim 9, characterized in that: in step S4, if there is abnormal sound, the following processing is performed, and the configured sound source identification module is used for analysis. Process the sound data and identify the sound source of the current sound data based on its pre-trained model.