CN111980898A - Air compressor performance identification and group preference joint control system and method - Google Patents

Abstract

The invention discloses a system and a method for combined control of air compressor performance identification and group preference, which adopt a plurality of sensors to test vibration signals, current signals, temperature signals and acoustic emission signals of each air compressor in a group, adopt a multi-sensing information fusion technology to fuse the vibration signals, the current signals, the temperature signals and the acoustic emission signals in the operation process of the air compressors, realize effective identification of the current performance of each air compressor, determine the preference sequence and the operation duration of starting and stopping of each air compressor according to the performance of each air compressor, ensure the balanced adjustment of the performance of each air compressor in the air compressor group, avoid serious performance reduction and serious service life attenuation of each air compressor caused by long-term operation of each air compressor, thereby greatly improving the working efficiency of the air compressor group and the service life of each air compressor.

Description

An air compressor performance identification and group preference joint control system and method

technical field

The invention relates to the field of air compressor performance identification and linkage control, in particular to an air compressor performance identification and group preference joint control system and method based on multi-sensor information fusion.

Background technique

Air compressor is a kind of equipment for compressing gas, which is widely used in various fields of industrial production, especially in the field of mining. Air compressor is an important device that provides gas source for various pneumatic equipment in the process of mining. Mine air compressors usually appear in groups, that is, a group of air compressors is formed by multiple air compressors, and each air compressor in the group transports the compressed gas to the main pipe through its own input pipeline. Due to the large difference in air consumption in different periods during the mining process, the number of air compressors operating in the group also needs to be adjusted according to the air consumption. It will inevitably lead to the accelerated decay of the life of individual air compressors, which is not conducive to the efficient operation of the entire air compressor group and the high-quality output of compressed gas. method.

Patent ZL201710653659.0 provides a method for multiple linked air compressors and their linked standby units to start up. By rotating the lever, one drive device can drive multiple compression devices, and at the same time, set the settings for each air compressor. With different pressure thresholds, when the system pressure is insufficient, the air compressors will be started in sequence, and when the system pressure is too high, the air compressors will be shut down in reverse order to meet the stability of the system pressure.

Patent ZL201610071479.7 gives an air compressor touch screen joint control system and method. The master station touch screen is used as the master station to control the operation of each slave station touch screen. The slave station touch screen is used as the slave station, and the inverter is no longer directly used as the master station. station or slave station, reducing the operating burden of the inverter and improving the control performance of the inverter.

Although the above two patents have realized the linkage control of air compressors to a certain extent, they did not take into account the different operating times and different starting frequencies of each air compressor in the air compressor group during the control process. The impact of performance can easily lead to accelerated aging of some air compressors due to fatigued service, while other air compressors cannot be fully utilized due to the small number of starts and the short running time, resulting in serious waste of resources. , It is urgent to study a method that can balance the performance of each air compressor, realize the balanced service of each air compressor in the air compressor group, ensure the maximum performance of each air compressor, and effectively prolong the service life of each air compressor. service life.

SUMMARY OF THE INVENTION

Aiming at the defects and deficiencies of the prior art, the present invention provides an air compressor performance identification and group preference joint control system and method based on multi-sensor information fusion. Vibration signal, current signal, temperature signal, acoustic emission signal, using multi-sensor information fusion technology to fuse the vibration signal, current signal, temperature signal and acoustic emission signal during the operation of the air compressor, to realize the integration of each air compressor Effective identification of the current performance, and according to the advantages and disadvantages of the performance of each air compressor, determine the preferred order and operation time of each air compressor to start and stop, to ensure the balanced adjustment of the performance of each air compressor in the air compressor group, It avoids the serious decline of air compressor performance and the serious degradation of service life caused by the long-term operation of a single air compressor, thereby greatly improving the working efficiency of the air compressor group and the service life of each air compressor.

For achieving the above object, the present invention provides the following scheme:

An air compressor performance identification and group preference joint control system, comprising:

Air compressor group and air compressor group control system;

The air compressor group includes several air compressors and main pipes;

Several air compressors are connected to the main pipe;

The air compressor group control system includes a signal detection module, a data acquisition and control module, and a host computer system module;

The signal detection module is used to detect the data signal of the air compressor group;

The data acquisition and control module is used for the acquisition of the data signal of the air compressor group and the work control of the air compressor group;

The upper computer module is used for the fusion identification of the data collected by the data collection and the control module, and controls the air compressor group through the control module;

Preferably, the air compressor includes: a motor, a cylinder, a cooler, a separator, and an output pipe;

Preferably, the motor is connected to the cylinder;

Preferably, the cylinder is connected with the cooler and the separator;

Preferably, the separator has a first end, a second end and a third end;

Preferably, the first end of the separator is connected with the cylinder;

Preferably, the second end of the separator is connected to the cylinder;

Preferably, the third end of the separator is connected to the output pipeline;

Preferably, the output pipes of several air compressors are connected with the main pipe;

Preferably, the signal detection module includes: a vibration sensor, a current sensor, an acoustic emission sensor, and a temperature sensor;

Preferably, the data acquisition and control module includes a data acquisition unit and a control unit;

Preferably, the host computer module includes a data fusion unit, a data identification unit, and a data control unit;

Preferably, the vibration sensor is connected to the motor;

Preferably, the current sensor is connected to the motor;

Preferably, the acoustic emission sensor is connected to the cylinder;

Preferably, the temperature sensor is connected to the cooler;

Preferably, the data acquisition unit is connected to the signal detection module;

Preferably, the data acquisition unit is connected with the data fusion unit;

Preferably, the data fusion unit is connected with the data identification unit;

Preferably, the data identification unit is connected with the data control unit;

Preferably, the data control unit is connected to the control unit;

Preferably, the control unit is connected to the air compressor group;

Preferably, the data acquisition and control unit module collects the multi-feature signal sample data detected by the signal detection module, performs data storage and identification through the host computer system module, and controls the working time, number of jobs and operation of the air compressor group through the control unit. model;

Preferably, there are N levels of operation modes, which are divided into a first-level single-machine operation mode, a second-level dual-machine linkage mode, a third-level three-machine cooperative mode, ...... N-level N-machine full-motion mode.

An air compressor performance identification and group preference joint control method, comprising the following steps:

S1. Establish the air compressor group;

S2. Collect characteristic samples of the air compressor to construct a sample database;

S3. Construct a fusion identification model, obtain air compressor performance identification results, and determine the air compressor start-stop preference order and running time according to the air compressor performance identification results;

S4. Use the host computer data fusion, identification and control system module to feed back the air compressor identification and fusion result information to the control unit, and realize the uniform scheduling of the air compressor group through the control unit;

Preferably, the characteristic samples of the air compressor include: vibration signal, current signal, acoustic emission signal and temperature signal;

Preferably, the vibration signal is a motor vibration signal;

Preferably, the current signal is a motor current signal;

Preferably, the acoustic emission signal is a cylinder acoustic emission signal;

Preferably, the temperature signal is a cooler temperature signal;

Preferably, the sample database 1 is constructed by using the vibration signals collected by the vibration sensor, and the corresponding membership function 1 is obtained by solving the correlation between the data;

Preferably, the sample database 2 is constructed by using the current signal collected by the current sensor, and the corresponding membership function 2 is obtained by solving the correlation between the data;

Preferably, the sample database 3 is constructed by using the acoustic emission signal collected by the acoustic emission sensor, and the corresponding membership function 3 is obtained by solving the correlation between the data;

Preferably, the sample database 4 is constructed by using the temperature signal collected by the temperature sensor, and the corresponding membership function 4 is obtained by solving the correlation between the data;

Preferably, according to membership function 1, membership function 2, membership function 3, and membership function 4, a group of multi-signal feature samples of the vibration signal, current signal, acoustic emission signal and temperature signal of the air compressor are obtained Data, as the input of the original data, bring the multi-signal feature sample data into membership function 1, membership function 2, membership function 3, membership function 4, and obtain vibration signal, current signal, acoustic emission signal and temperature signal. Membership value.

Preferably, the membership value of the vibration signal, the current signal, the acoustic emission signal and the temperature signal is calculated as the basic input value of the basic probability distribution function of the D-S evidence theory;

Preferably, the basic probability value of each air compressor is obtained through the calculation, and the basic probability value adopts the fusion model based on the D-S evidence theory to analyze the multi-feature samples of vibration signal, temperature signal, pressure signal, acoustic emission signal and current signal. data fusion;

Preferably, the uncertainty and reliability values of each air compressor performance identification result are obtained through multi-feature sample data fusion, and the final compressor performance identification fusion result is determined according to the decision criterion of the fusion result;

According to the results of the air compressor performance identification and fusion, determine the priority order of starting and stopping the air compressor, that is, the performance of the air compressor corresponding to the largest fusion result value is the best, and the performance of the air compressor corresponding to the next largest fusion result value is second , in the same way, according to the numerical value of the fusion result, the corresponding upper air compressor performance sequence is sorted;

Preferably, the D-S evidence theory identification decision criteria include:

1) The reliability value of the air compressor performance identification result is greater than that of any other fault identification results;

2) The reliability value of the air compressor performance identification result minus the reliability value of any other air compressor performance identification result must be greater than the threshold K;

3) The uncertainty of the air compressor performance identification result should be less than the threshold value L;

Preferably, by obtaining the vibration signals, current signals, acoustic emission signals and temperature signals collected by the various sensors on the air compressor again, a new multi-feature signal sample library and membership function are generated, and a new multi-feature signal sample library and membership function are generated, and the fusion recognition model is used for new After obtaining the new fusion results, the preferred start-stop sequence and running time of the air compressors are updated, and the service balance of the air compressor unit group can be dynamically adjusted.

Technical effect of the present invention:

(1) Use a variety of sensors to collect multiple types of signal samples, and use the multi-sensor information fusion method to fuse different multi-feature signals to further improve the accuracy and precision of air compressor performance identification;

(2) The lower computer and the upper computer cooperate to complete the real-time transmission and fusion of data, and accurately monitor various indicators of the air compressor operation;

(3) Clarify the preferred order and operation time of each air compressor to start and stop, so as to ensure the balanced adjustment of the performance of each air compressor in the air compressor group;

(4) Realize the preference linkage of the air compressor group, complete the selection of various working modes of the air compressor, and be able to screen the best match between multiple air compressors, balance the service life of each air compressor, and improve the air compressor. The utilization efficiency of the entire system of the compressor group and the quality of the gas produced ensure the high-quality and high-volume operation of the air compressor group.

Description of drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings required in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some of the present invention. In the embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative labor.

1 is a schematic structural diagram of a model of an air compressor performance identification and group preference joint control system based on multi-sensor information fusion in an embodiment of the present invention.

2 is a schematic diagram of a specific process flow of an air compressor performance identification and group preference joint control system based on multi-sensor information fusion in an embodiment of the present invention.

FIG. 3 is a schematic diagram of a fusion recognition model process of an air compressor performance recognition and group preference joint control system based on multi-sensor information fusion in an embodiment of the present invention.

4 is a schematic diagram of a signal flow of an air compressor performance identification and group preference joint control system based on multi-sensor information fusion in an embodiment of the present invention.

Among them, 1 is the first air compressor, 2 is the second air compressor, 3 is the third air compressor, 4 is the fourth air compressor, I is the motor, II is the cylinder, III is the cooler, IV is the separation 1-1 is the first air compressor vibration sensor, 1-2 is the first air compressor current sensor, 1-3 is the first air compressor acoustic emission sensor, 1-4 is the first air compressor temperature sensor, 2-1 is the second air compressor vibration sensor 2-2 is the second air compressor current sensor, 2-3 is the second air compressor acoustic emission sensor, 2-4 is the second air compressor temperature sensor, 3- 1 is the third air compressor vibration sensor 3-2 is the third air compressor current sensor 3-3 is the third air compressor acoustic emission sensor, 3-4 is the third air compressor temperature sensor, 4-1 is the third air compressor temperature sensor The four-air compressor vibration sensor 4-2 is the fourth air compressor current sensor, 4-3 is the fourth air compressor acoustic emission sensor, and 4-4 is the fourth air compressor temperature sensor.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

Embodiment 1: As shown in Figures 1-4, the present invention is an air compressor performance identification and group preference joint control system, including an air compressor group, a signal detection module, a data acquisition and control unit, and a host computer data Fusion, identification and control system modules.

The air compressor group includes a plurality of air compressors, and the output pipes of each air compressor are jointly connected to the main pipe. The present invention is described with a group composed of four air compressors.

Each air compressor in the air compressor group adopts linkage control, which can screen the best cooperation between air compressors according to the air supply capacity required in the industry, and select the number and operation mode of specific air compressors. , the operation mode can be divided into single-machine operation, double-machine linkage, three-machine coordination and four-machine full-motion;

The signal detection module first installs a vibration sensor and a current sensor on the motor part of the air compressor, installs an acoustic emission sensor at the air compressor cylinder, and installs a temperature sensor at the exhaust port of the main engine, that is, the cooler; use the vibration sensor and current sensor. , Acoustic emission sensor and temperature sensor to detect vibration signal, current signal, acoustic emission signal and temperature signal. The operation of the motor end, the cylinder part and the cooler end;

The data acquisition and control unit module uses the vibration signal, current signal, acoustic emission signal and temperature signal collected by the vibration sensor, current sensor, acoustic emission sensor and temperature sensor to establish the vibration signal characteristic database and current signal characteristic of the air compressor group. Database, acoustic emission signal feature database and temperature signal feature database, combined with optimization algorithm and fuzzy relationship between data, to obtain multi-feature signal sample membership functions of vibration, current, acoustic emission and temperature;

The upper computer data fusion, identification and control system module stores the acquired multi-feature signal sample library, selects a multi-sensor information fusion method, takes the membership function as a target input, and combines the multi-sensor information fusion method with membership According to the fusion results, the performance of each air compressor is determined, and the preference order and operation time of each air compressor are established to ensure that each air compressor in the air compressor group Balanced adjustment of the performance of each air compressor; feedback the data to the data acquisition and control unit module, and use the control unit to select the number and operation mode of the specific air compressor, and then complete the air compressor performance identification and group preference linkage .

(1) Multiple air compressors are combined to form an air compressor group;

As shown in Figure 1, I motor, II cylinder, III cooler and IV separator constitute the main part of the air compressor, I motor, II cylinder, III cooler, IV separator and air ducts required for each shaft end, It can constitute the overall structure of the first air compressor, the second air compressor, the third air compressor and the fourth air compressor, the first air compressor, the second air compressor, the third air compressor and the fourth air compressor. The compressors form an air compressor group, and the 4 air compressors are connected through the V control unit, and the working time, quantity and operation mode of the air compressors are selected through the V control unit.

(2) Install vibration sensors, current sensors, acoustic emission sensors and temperature sensors on the designated positions of the air compressor to facilitate the detection of multi-signature signals of the air compressor;

Install a vibration sensor, a current sensor, an acoustic emission sensor and a temperature sensor on each of the four air compressors. As shown in Figure 1, the I motor part of the first air compressor is equipped with a vibration sensor 1-1 and a current sensor 1-2. Acoustic emission sensor 1-3 is installed at cylinder II, and temperature sensor 1-4 is installed at cooler III;

A vibration sensor 2-1 and a current sensor 2-2 are installed in the motor part I of the second air compressor, an acoustic emission sensor 2-3 is installed at the cylinder II, and a temperature sensor 2-4 is installed at the cooler III;

A vibration sensor 3-1 and a current sensor 3-2 are installed in the motor part I of the third air compressor, an acoustic emission sensor 3-3 is installed at the cylinder II, and a temperature sensor 3-4 is installed at the cooler III;

A vibration sensor 4-1 and a current sensor 4-2 are installed in the motor part I of the fourth air compressor, an acoustic emission sensor 4-3 is installed at the cylinder II, and a temperature sensor 4-4 is installed at the cooler III.

The vibration sensor, the current sensor, the acoustic emission sensor and the temperature sensor are respectively used to detect the vibration signal, the current signal, the acoustic emission signal and the temperature signal.

(3) Real-time signal detection is carried out through a variety of sensors, and multi-signal characteristic samples of vibration, current, acoustic emission and temperature are collected, and their respective sample databases are constructed for the characteristic samples of the four kinds of signals;

As shown in Figure 2, the sample database 1 is constructed by using the vibration signal collected by the vibration sensor, and the corresponding membership function 1 is obtained by combining the correlation between the data;

The sample database 2 is constructed by using the current signal collected by the current sensor, and the corresponding membership function 2 is obtained by solving the correlation between the data;

The sample database 3 is constructed by using the acoustic emission signal collected by the acoustic emission sensor, and the corresponding membership function 3 is obtained by solving the correlation between the data;

The sample database 4 is constructed by using the temperature signal collected by the temperature sensor, and the corresponding membership function 4 is obtained by solving the correlation between the data.

A sample database composed of different characteristic signal samples corresponding to four air compressors is established, and different membership functions of the sample database corresponding to the four air compressors are obtained at the same time.

(4) As shown in Figure 3, build a fusion identification model, obtain the air compressor performance identification results, and determine the air compressor start-stop preference order and running time according to the air compressor performance identification results;

1) According to the membership function corresponding to the four air compressors, obtain a set of vibration, current, acoustic emission and temperature multi-signal characteristic sample data of the four air compressors, namely 10, and bring it into the calculated membership as the input of the original data. The degree function obtains the membership value of the vibration signal, the current signal, the acoustic emission signal and the temperature signal, that is, 20;

2) Take the obtained membership value of vibration signal, current signal, acoustic emission signal and temperature signal as the basic input value of the basic probability distribution function of D-S evidence theory, that is, 30. For the basic probability value, the fusion model based on the D-S evidence theory is used to fuse the multi-feature sample data of vibration, temperature, pressure, acoustic emission and current to obtain the uncertainty and reliability values of the performance identification results of each air compressor. The decision criterion of the fusion result is 50 to determine the final press performance identification fusion result;

3) D-S evidence theory identifies decision-making criteria:

3-1. The reliability value of the air compressor performance identification result is greater than that of any other fault identification results;

3-2. The reliability value of the air compressor performance identification result minus the reliability value of any other air compressor performance identification result must be greater than the threshold K;

3-3. The uncertainty of the air compressor performance identification result should be less than the threshold value L.

4) According to the air compressor performance identification fusion results, determine the air compressor start and stop preference order, that is, the air compressor performance corresponding to the largest fusion result value is the best, and the air compressor performance corresponding to the next largest fusion result value is second. The numerical order of the fusion results corresponds to the performance order of the air compressors.

(5) Use the upper computer data fusion, identification and control system module to feed back the air compressor identification and fusion result information to the control unit to control the working time, number and start and stop sequence of the air compressors to achieve uniform scheduling of the entire air compressor group.

Use the control system to feed back the air compressor fusion identification result to the V control unit, and set the obtained air compressor start and stop preference order, and then use the V control unit to select the working time, quantity and operation mode of the air compressor. The operation modes include: The four-level can be subdivided into the first-level single-machine operation, the second-level dual-machine linkage, the third-level three-machine coordination, and the fourth-level four-machine full-motion.

Considering that the start-stop sequence, running time and frequency of use of each air compressor in the air compressor group are inconsistent, the service life of the entire system of the air compressor group will be greatly reduced, so according to the air compressor start-stop preference order , which can regularly and evenly adjust the use of the air compressor group.

At the same time, the vibration signal, current signal, acoustic emission signal and temperature signal collected by various sensors on the four air compressors can be acquired again within a certain time interval, and a new multi-feature signal sample library and membership function can be regenerated. , use the fusion recognition model to perform new fusion, update the air compressor preference start-stop sequence and running time after obtaining the new fusion result, and dynamically adjust the service balance of the air compressor unit group.

The specific flow of multi-feature signal data in the process of performance identification and preference joint control of the air compressor of the present invention is shown in Figure 4:

The vibration signal, current signal, acoustic emission signal and temperature signal detected by the vibration sensor, current sensor, acoustic emission sensor and temperature sensor in the first air compressor are transmitted to the data acquisition and control module through S11, that is, the vibration signal and current signal are collected. The characteristic samples of the acoustic emission signal and the temperature signal are easy to construct the multi-signal characteristic data sample library of the first air compressor, and then transmitted to the upper computer data fusion, identification and control system through S21, that is, the collected data is processed and the multi-transmission data is used. After the sensor information fusion method is used to fuse it, the starting and stopping preference sequence of the first air compressor is obtained and the information is fed back by the control system, which is transmitted to the data acquisition and control module through S31, and finally the operation of the first air compressor is controlled through S41;

The vibration signal, current signal, acoustic emission signal and temperature signal detected by the vibration sensor, current sensor, acoustic emission sensor and temperature sensor in the second air compressor are transmitted to the data acquisition and control module through S12, that is, the vibration signal and current signal are collected. The characteristic samples of the acoustic emission signal and the temperature signal are convenient to build the multi-signal characteristic data sample library of the second air compressor, and then pass it to the upper computer data fusion, identification and control system through S22, that is, to process the collected data and use the multi-transmission data. After the sensor information fusion method is used to fuse it, the starting and stopping preference sequence of the second air compressor is obtained and the information is fed back by the control system, which is transmitted to the data acquisition and control module through S32, and finally the operation of the second air compressor is controlled through S42;

The vibration signal, current signal, acoustic emission signal and temperature signal detected by the vibration sensor, current sensor, acoustic emission sensor and temperature sensor in the third air compressor are transmitted to the data acquisition and control module through S13, that is, the vibration signal and current signal are collected. The characteristic samples of the acoustic emission signal and temperature signal are convenient to construct the multi-signal characteristic data sample library of the third air compressor, and then transmitted to the upper computer data fusion, identification and control system through S23, that is, the collected data is processed and the multi-transmission data is used. After it is fused by the sensor information fusion method, the starting and stopping preference order of the third air compressor is obtained and the information is fed back by the control system, which is transmitted to the data acquisition and control module through S33, and finally the operation of the third air compressor is controlled through S43;

The vibration signal, current signal, acoustic emission signal and temperature signal detected by the vibration sensor, current sensor, acoustic emission sensor and temperature sensor in the fourth air compressor are transmitted to the data acquisition and control module through S14, that is, the vibration signal and current signal are collected. The characteristic samples of , acoustic emission signal and temperature signal are convenient to build the multi-signal characteristic data sample database of the fourth air compressor, and then pass it to the upper computer data fusion, identification and control system through S24, that is, process the collected data, use the multi-transmission data After the sensor information fusion method is used to fuse it, the starting and stopping preference order of the fourth air compressor is obtained and the information is fed back by the control system, which is transmitted to the data acquisition and control module through S34, and finally the operation of the fourth air compressor is controlled through S44.

The above-mentioned embodiments are only to describe the preferred mode of the present invention, and do not limit the scope of the present invention. Without departing from the design spirit of the present invention, those of ordinary skill in the art can make various Variations and improvements should fall within the protection scope determined by the claims of the present invention.

Claims (10)

1. The utility model provides an air compressor machine performance identification and group preference allies oneself with accuse system which characterized in that includes:

the air compressor group and the air compressor group control system;

the air compressor group comprises a plurality of air compressors and a main pipe;

the air compressor is connected with the main pipe;

the air compressor group control system comprises a signal detection module, a data acquisition and control module and an upper computer system module;

the signal detection module is used for detecting the air compressor group data signals;

the data acquisition and control module is used for acquiring data signals of the air compressor group and controlling the work of the air compressor group;

the upper computer module is used for fusion identification of data acquisition and control module data acquisition, and controls the air compressor group through the control module.

2. The air compressor performance identification and group preference joint control system of claim 1, wherein:

the air compressor machine includes: the device comprises a motor, a cylinder, a cooler, a separator and an output pipeline;

the motor is connected with the air cylinder;

the cylinder is connected with the cooler and the separator;

the separator has a first end, a second end, and a third end;

the first end of the separator is connected with the cylinder;

the second end of the separator is connected with the cylinder;

the third end of the separator is connected with the output pipeline;

and the output pipeline of the platform air compressor is connected with the main pipe.

3. The air compressor performance identification and group preference joint control system of claim 1, wherein:

the signal detection module includes: a vibration sensor, a current sensor, an acoustic emission sensor, a temperature sensor;

the data acquisition and control module comprises a data acquisition unit and a control unit;

the upper computer module comprises a data fusion unit, a data identification unit and a data control unit;

the vibration sensor is connected with the motor;

the current sensor is connected with the motor;

the acoustic emission sensor is connected with the cylinder;

the temperature sensor is connected with the cooler;

the data acquisition unit is connected with the signal detection module;

the data acquisition unit is connected with the data fusion unit;

the data fusion unit is connected with the data identification unit;

the data identification unit is connected with the data control unit;

the data control unit is connected with the control unit;

the control unit is connected with the air compressor group;

the data acquisition and control unit module acquires multi-characteristic signal sample data detected by the signal detection module, performs data storage and identification through the upper computer system module, and controls the working time, the working quantity and the running mode of the air compressor group through the control unit;

the operation mode has N levels and is divided into a first-level single-machine operation mode, a second-level double-machine linkage mode, a third-level three-machine cooperation mode and an N-level N-machine full-motion mode.

4. The air compressor performance identification and group preference joint control method is characterized by comprising the following steps of:

s1, establishing an air compressor group;

s2, collecting a characteristic sample of the air compressor to construct a sample database;

s3, constructing a fusion recognition model, obtaining an air compressor performance recognition result, and determining the start-stop preference order and the operation time of the air compressor according to the air compressor performance recognition result;

and S4, feeding back the information of the air compressor identification fusion result to a control unit by using an upper computer data fusion, identification and control system module, and realizing uniform scheduling of the air compressor group through the control unit.

5. The air compressor performance identification and group preference joint control method according to claim 4, characterized in that:

the characteristic sample of air compressor machine includes: a vibration signal, a current signal, an acoustic emission signal, and a temperature signal;

the vibration signal is the motor vibration signal;

the current signal is the motor current signal;

the acoustic emission signal is the cylinder acoustic emission signal;

the temperature signal is the cooler temperature signal.

6. The air compressor performance identification and group preference joint control method according to claim 4, characterized in that:

constructing a sample database 1 by using vibration signals acquired by the vibration sensor, and solving by combining the correlation among the data to obtain a corresponding membership function 1;

constructing a sample database 2 by using current signals acquired by a current sensor, and solving by combining the correlation among data to obtain a corresponding membership function 2;

constructing a sample database 3 by using acoustic emission signals acquired by an acoustic emission sensor, and solving to obtain a corresponding membership function 3 by combining correlation among data;

and constructing a sample database 4 by using the temperature signals acquired by the temperature sensors, and solving by combining the correlation among the data to obtain a corresponding membership function 4.

7. The air compressor performance identification and group preference joint control method according to claim 6, characterized in that:

according to the membership function 1, the membership function 2, the membership function 3 and the membership function 4, acquiring a group of multi-characteristic signal sample data of the vibration signal, the current signal, the acoustic emission signal and the temperature signal of the air compressor, using the multi-characteristic signal sample data as the input of original data, and substituting the multi-signal characteristic sample data into the membership function 1, the membership function 2, the membership function 3 and the membership function 4 to obtain the membership values of the vibration signal, the current signal, the acoustic emission signal and the temperature signal.

8. The air compressor performance identification and group preference joint control method according to claim 7, characterized in that:

calculating the membership values of the vibration signal, the current signal, the acoustic emission signal and the temperature signal as basic input values of a basic probability distribution function of a D-S evidence theory;

obtaining the basic probability value of each air compressor through calculation, and fusing multi-signal characteristic sample data of the vibration signal, the temperature signal, the pressure signal, the acoustic emission signal and the current signal by adopting a fusion model based on a D-S evidence theory according to the basic probability value;

obtaining uncertainty and confidence value of the performance identification result of each air compressor through the multi-feature sample data fusion, and determining a final performance identification fusion result of the air compressor according to a decision criterion of the fusion result;

and identifying a fusion result according to the performance of the air compressor, and determining the start-stop preference order of the air compressor, namely, fusing the best performance of the air compressor corresponding to the maximum result value, fusing the performance of the air compressor corresponding to the second-largest result value, and similarly, sequencing the performance order of the corresponding air compressor according to the numerical value of the fusion result.

9. The air compressor performance identification and group preference joint control method according to claim 8, characterized in that:

the D-S evidence theory recognition decision criteria include:

1) the reliability value of the performance identification result of the air compressor is greater than the reliability values of any other fault identification results;

2) the reliability value of the performance identification result of the air compressor minus the reliability value of the performance identification result of any other air compressor is greater than a threshold value K;

3) and the uncertainty of the air compressor performance identification result is less than a threshold value L.

10. The air compressor performance identification and group preference joint control method according to claim 4, characterized in that:

and generating a new multi-feature signal sample library and the membership function by acquiring the vibration signals, the current signals, the acoustic emission signals and the temperature signals collected by the various sensors on the air compressor again, performing new fusion by using the fusion recognition model, updating the preferential start-stop sequence and the running time of the air compressor after acquiring a new fusion result, and dynamically adjusting the service balance degree of the air compressor group.

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