CN105912398A - Memory detection method and device - Google Patents

Abstract

The present disclosure relates to a memory detection method and device. The method includes: when the application meets the preset conditions, acquiring the memory snapshot file of the application; extracting the bitmap data of the at least two bitmaps from the memory snapshot file; The at least two bitmaps are compared; when the same bitmap exists in the memory snapshot file, a preset reminder operation is performed. This technical solution can accurately and quickly locate the memory leak problem caused by the repeated creation of bitmap resources in the application, provides a clear processing target for the memory optimization of the application, and improves the efficiency and accuracy of the memory optimization of the application , reduce unnecessary memory consumption, and improve the experience of terminal use.

Description

Memory detection method and device

technical field

The present disclosure relates to the technical field of terminal operating systems, and in particular to a memory detection method and device.

Background technique

At present, after running for a period of time, the remaining memory of the terminal becomes less and less, which is caused by a memory leak in the running program. Memory leaks are also called "storage leaks". The space dynamically opened by the dynamic storage allocation function is not released after use, resulting in the memory unit being occupied until the end of the program. The longer the program runs, the more and more storage space is taken up, and eventually all storage space is used up, and the entire system crashes.

Contents of the invention

Embodiments of the present disclosure provide a memory detection method and device. Described technical scheme is as follows:

According to a first aspect of an embodiment of the present disclosure, a memory detection method is provided, including:

When the application meets the preset conditions, obtain the memory snapshot file of the application;

Extracting the bitmap data of the at least two bitmaps from the memory snapshot file;

comparing the at least two bitmaps according to the bitmap data;

When the same bitmap exists in the memory snapshot file, a preset reminder operation is performed.

Optionally, the acquiring the memory snapshot file of the application includes:

Invoke a preset memory debugging program, generate a memory snapshot file of the application program according to the memory data of the application program, and the memory snapshot file is in a binary format.

Optionally, the extracting bitmap data of at least two bitmaps from the memory snapshot file includes:

Using a preset memory analysis program to analyze the memory snapshot file and extract bitmap data of at least two bitmaps;

The comparing the at least two bitmaps according to the bitmap data includes:

A message digest algorithm 5 is used to compare the bitmap data of the at least two bitmaps.

Optionally, the execution of preset reminder operations includes:

sending the bitmap data of the same bitmap to the preset terminal in binary format;

or

sending the bitmap data of the same bitmap to the preset terminal in a bitmap format.

According to a second aspect of an embodiment of the present disclosure, a memory detection device is provided, including:

An acquisition module, configured to acquire a memory snapshot file of the application when the application meets a preset condition;

An extraction module, configured to extract the bitmap data of the at least two bitmaps from the memory snapshot file acquired by the acquisition module;

A comparison module, configured to compare the at least two bitmaps according to the bitmap data extracted by the extraction module;

The reminding module is used to execute a preset reminding operation when the comparison module obtains that the same bitmap exists in the memory snapshot file.

Optionally, the obtaining module is configured to invoke a preset memory debugging program, and generate a memory snapshot file of the application program according to the memory data of the application program, and the memory snapshot file is in a binary format.

Optionally, the extraction module is configured to use a preset memory analysis program to analyze the memory snapshot file acquired by the acquisition module, and extract bitmap data of at least two bitmaps.

Optionally, the comparison module is configured to compare the bitmap data of at least two bitmaps extracted by the extraction module by using message digest algorithm 5;

Optionally, the reminder module includes: a sending submodule, configured to send the bitmap data of the same bitmap to the preset terminal in binary format; or send the bitmap data of the same bitmap in binary format The graph format is sent to the preset terminal.

According to a third aspect of an embodiment of the present disclosure, a memory detection device is provided, including:

processor;

memory for storing processor-executable instructions;

Wherein, the processor is configured as:

When the application meets the preset conditions, obtain the memory snapshot file of the application;

Extracting the bitmap data of the at least two bitmaps from the memory snapshot file;

comparing the at least two bitmaps according to the bitmap data;

When the same bitmap exists in the memory snapshot file, a preset reminder operation is performed.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

In this embodiment, by obtaining the memory snapshot file and analyzing the memory snapshot file, the repeatedly created bitmap resource in the memory can be found, and the memory leak problem caused by the repeated creation of the bitmap resource of the application program can be accurately and quickly located. For the memory optimization of the application, it provides a clear processing target, improves the efficiency and accuracy of the memory optimization of the application, reduces unnecessary memory consumption, and improves the user experience of the terminal.

In another embodiment, the memory usage of all currently running applications is analyzed to determine whether there is a memory leak problem caused by repeated creation of bitmap resources in these applications, which can be accurately and quickly located For applications with memory leaks, improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, instead of analyzing the memory usage of all currently running applications, an application with an abnormal memory usage may be selected for analysis. For example, if the actual memory usage value of application A is 150M, which exceeds the preset memory usage threshold of 100M, analyze the memory usage of application A to determine whether there is an error caused by repeated creation of bitmap resources in application A. memory leaks, further accurately and quickly locate applications with memory leaks, improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, the preset debugger is invoked to generate the memory snapshot file of the application, so that it can be determined whether the application program has a memory leak problem caused by repeated creation of bitmap resources by analyzing the memory snapshot file, which can be accurate and fast It can accurately locate applications with memory leaks, improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, the data corresponding to the bitmap is extracted by analyzing the memory snapshot file. By analyzing whether the bitmap data is the same, it is possible to determine whether the application has memory leaks caused by repeated creation of bitmap resources, accurately and quickly locate applications with memory leaks, and improve the efficiency and accuracy of application memory optimization. speed, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, other algorithms may also be used to identify the same bitmap. If the same bitmap does not exist in the memory snapshot file, it means that there is no memory leak problem. If the same bitmap exists in the memory snapshot file, the application has a memory leak. By identifying the same bitmap in the memory snapshot file, determine whether the application has memory leaks caused by repeated creation of bitmap resources, further accurately and quickly locate applications with memory leaks, and improve application memory optimization. Efficiency and accuracy, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, by notifying developers or users of their own memory leaks, it is convenient for developers to optimize memory leaks caused by repeated creation of bitmap resources in applications, and it is convenient for users to accurately and quickly locate memory leaks. Applications, improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, the bitmap data in binary format can be directly sent to the preset terminal, or the bitmap data can be converted into a visible bitmap and sent to the preset terminal. In this way, the user of the preset terminal can discover the problem of repeatedly creating bitmap resources in the application through the received bitmap data or bitmap, so that developers can optimize the application in time, reduce unnecessary memory consumption, and improve the experience of using the terminal Spend.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the disclosure.

Fig. 1 is a flow chart of a memory detection method according to an exemplary embodiment.

Fig. 2 is a flow chart of a memory detection method according to another exemplary embodiment.

Fig. 3 is a block diagram of a memory detection device according to an exemplary embodiment.

Fig. 4 is a block diagram of a reminder module according to an exemplary embodiment.

Fig. 5 is a block diagram of a device for memory detection according to an exemplary embodiment.

detailed description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

The technical solution provided by the embodiments of the present disclosure relates to a terminal, and finds out bitmap resources repeatedly created by application programs in memory, and provides a clear processing target for program memory optimization.

The terminal can be any device with image recognition function, such as mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness device, personal digital assistant, etc.

Fig. 1 is a flow chart of a memory detection method according to an exemplary embodiment. As shown in Fig. 1, the memory detection method is used in a terminal and includes the following steps:

In step S11, when the application meets the preset condition, the memory snapshot file of the application is obtained;

In step S12, extract bitmap data of at least two bitmaps from the memory snapshot file;

In step S13, at least two bitmaps are compared according to the bitmap data;

In step S14, when the same bitmap exists in the memory snapshot file, a preset reminder operation is performed.

Wherein, the memory snapshot file is a fully available copy of the memory data set, and the copy includes the image of the memory data at a certain point in time (the point in time when the copy starts). A snapshot can be either a copy or a replica of the data it represents.

In this embodiment, by obtaining the memory snapshot file and analyzing the memory snapshot file, the repeatedly created bitmap resource in the memory can be found, and the memory leak problem caused by the repeated creation of the bitmap resource of the application program can be accurately and quickly located. For the memory optimization of the application, it provides a clear processing target, improves the efficiency and accuracy of the memory optimization of the application, reduces unnecessary memory consumption, and improves the user experience of the terminal.

In another embodiment, the application meets a preset condition, including: the application is currently running.

In this embodiment, the memory usage of all currently running applications can be analyzed to determine whether there is a memory leak problem caused by repeated creation of bitmap resources in these applications, and the existing memory can be accurately and quickly located. Leaked applications, improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, the application meeting the preset condition further includes: the memory usage value of the application exceeds a preset threshold.

In this embodiment, instead of analyzing the memory usage of all currently running applications, an application with abnormal memory usage may be selected for analysis. For example, if the actual memory usage value of application A is 150M, which exceeds the preset memory usage threshold of 100M, analyze the memory usage of application A to determine whether there is an error caused by repeated creation of bitmap resources in application A. memory leaks, further accurately and quickly locate applications with memory leaks, improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, obtaining the memory snapshot file of the application program includes:

A preset memory debugging program is invoked to generate a memory snapshot file of the application program according to the memory data of the application program, and the memory snapshot file is in a binary format.

Wherein, when the terminal operating system is the Android system, the preset memory debugging program may be the AndroidDebug Bridge (adb) tool, and the adb shell am dumpheap command is invoked through the adb tool to generate a memory snapshot file of the application program.

In this embodiment, the preset debugger is invoked to generate the memory snapshot file of the application program, so that the subsequent analysis of the memory snapshot file can determine whether the application program has a memory leak problem caused by repeated creation of bitmap resources, and can accurately and quickly locate For applications with memory leaks, improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, the bitmap data of at least two bitmaps are extracted from the memory snapshot file, including:

Use a preset memory analysis program to analyze the memory snapshot file and extract bitmap data of at least two bitmaps.

Wherein, the preset memory analysis program may be a Memory Analyzer Tool (MAT) tool, which analyzes the memory snapshot file, finds out all the bitmap resources in the memory snapshot file, and saves them in a binary format.

In this embodiment, the data corresponding to the bitmap is extracted by analyzing the memory snapshot file. By analyzing whether the bitmap data is the same, it is possible to determine whether the application has memory leaks caused by repeated creation of bitmap resources, accurately and quickly locate applications with memory leaks, and improve the efficiency and accuracy of application memory optimization. speed, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, comparing at least two bitmaps according to the bitmap data includes:

The bitmap data of at least two bitmaps are compared using the message digest algorithm 5 .

Wherein, message digest algorithm 5 (MD5) may be used to compare the bitmap data to find the bitmap data of the same bitmap.

In this embodiment, other algorithms may also be used to identify the same bitmap. If the same bitmap does not exist in the memory snapshot file, it means that there is no memory leak problem. If the same bitmap exists in the memory snapshot file, the application has a memory leak. By identifying the same bitmap in the memory snapshot file, determine whether the application has memory leaks caused by repeated creation of bitmap resources, further accurately and quickly locate applications with memory leaks, and improve application memory optimization. Efficiency and accuracy, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, when the same bitmap exists in the memory snapshot file, performing a preset reminder operation includes performing at least one of the following operations:

Send the bitmap data of the same bitmap to the preset terminal;

Remind the bitmap data of the same bitmap on this terminal.

Wherein, the preset terminal may be a terminal of an application program developer. When an application program has a memory leak problem caused by repeated creation of bitmap resources, the developer of the application program or the user of the terminal can be reminded.

In this embodiment, by notifying the developer or the user of the memory leak problem, it is convenient for the developer to optimize the memory leak problem caused by repeatedly creating bitmap resources in the application program, and it is convenient for the user to accurately and quickly locate the application program with the memory leak , improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

In another embodiment, sending bitmap data of the same bitmap to a preset terminal includes:

Send the bitmap data of the same bitmap to the preset terminal in binary format;

or

Send the bitmap data of the same bitmap to the preset terminal in bitmap format.

In this embodiment, the bitmap data in binary format can be directly sent to the preset terminal, or the bitmap data can be converted into a visible bitmap and sent to the preset terminal. In this way, the user of the preset terminal can discover the problem of repeatedly creating bitmap resources in the application through the received bitmap data or bitmap, so that developers can optimize the application in time, reduce unnecessary memory consumption, and improve the experience of using the terminal Spend.

The above method embodiments are described in detail below.

Fig. 2 is a flowchart of a memory detection method shown according to another exemplary embodiment. As shown in Fig. 2, the method includes the following steps:

In step S21, the memory usage value of the currently running application program A is acquired;

In step S22, it is judged that the memory usage value of application A exceeds the preset threshold, if yes, execute step S23, if no, execute step S21;

In step S23, the adb tool is invoked to generate a memory snapshot file of the application program A, and the memory snapshot file is in binary format.

In step S24, use the MAT tool to analyze the memory snapshot file, extract the bitmap data of at least two bitmaps, and save them in binary format;

In step S25, adopt MD5 to compare bitmap data;

In step S26, judge whether the memory snapshot file of application program A has the bitmap data of same bitmap, if yes, execute step S27, if no, end;

In step S27, the bitmap data of the same bitmap is transmitted to the terminal of the developer of the application A.

In this embodiment, by obtaining the memory snapshot file and analyzing the memory snapshot file, the repeatedly created bitmap resource in the memory can be found, and the memory leak problem caused by the repeated creation of the bitmap resource of the application program can be accurately and quickly located. For the memory optimization of the application, it provides a clear processing target, improves the efficiency and accuracy of the memory optimization of the application, reduces unnecessary memory consumption, and improves the user experience of the terminal.

The following are device embodiments of the present disclosure, which can be used to implement the method embodiments of the present disclosure.

Fig. 3 is a block diagram showing a memory detection device according to an exemplary embodiment, and the device can be implemented as part or all of an electronic device through software, hardware or a combination of the two. As shown in Figure 3, the memory detection device includes:

The obtaining module 31 is configured to obtain the memory snapshot file of the application program when the application program meets the preset condition;

The extracting module 32 is configured to extract bitmap data of at least two bitmaps from the memory snapshot file acquired by the acquiring module 31;

The comparison module 33 is configured to compare at least two bitmaps according to the bitmap data extracted by the extraction module 32;

The reminder module 34 is configured to execute a preset reminder operation when the comparison module 33 finds that the same bitmap exists in the memory snapshot file.

Wherein, the memory snapshot file is a fully available copy of the memory data set, and the copy includes the image of the memory data at a certain point in time (the point in time when the copy starts). A snapshot can be either a copy or a replica of the data it represents.

In this embodiment, by obtaining the memory snapshot file and analyzing the memory snapshot file, the repeatedly created bitmap resource in the memory can be found, and the memory leak problem caused by the repeated creation of the bitmap resource of the application program can be accurately and quickly located. For the memory optimization of the application, it provides a clear processing target, improves the efficiency and accuracy of the memory optimization of the application, reduces unnecessary memory consumption, and improves the user experience of the terminal.

Optionally, the application meets preset conditions, including: the application is currently running.

In this embodiment, the memory usage of all currently running applications can be analyzed to determine whether there is a memory leak problem caused by repeated creation of bitmap resources in these applications, and the existing memory can be accurately and quickly located. Leaked applications, improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

Optionally, the application meeting the preset condition also includes: the memory usage value of the application exceeds a preset threshold.

In this embodiment, instead of analyzing the memory usage of all currently running applications, an application with abnormal memory usage may be selected for analysis. For example, if the actual memory usage value of application A is 150M, which exceeds the preset memory usage threshold of 100M, analyze the memory usage of application A to determine whether there is an error caused by repeated creation of bitmap resources in application A. memory leaks, further accurately and quickly locate applications with memory leaks, improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

Optionally, the obtaining module 31 is configured to invoke a preset memory debugging program, and generate a memory snapshot file of the application program according to the memory data of the application program, and the memory snapshot file is in a binary format.

Wherein, when the terminal operating system is the Android system, the preset memory debugging program may be the AndroidDebug Bridge (adb) tool, and the adb shell am dumpheap command is invoked through the adb tool to generate a memory snapshot file of the application program.

In this embodiment, the preset debugger is invoked to generate the memory snapshot file of the application program, so that the subsequent analysis of the memory snapshot file can determine whether the application program has a memory leak problem caused by repeated creation of bitmap resources, and can accurately and quickly locate For applications with memory leaks, improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use.

Optionally, the extraction module 32 is configured to use a preset memory analysis program to analyze the memory snapshot file acquired by the acquisition module 31, and extract bitmap data of at least two bitmaps.

Wherein, the preset memory analysis program may be a Memory Analyzer Tool (MAT) tool, which analyzes the memory snapshot file, finds out all the bitmap resources in the memory snapshot file, and saves them in a binary format.

In this embodiment, the data corresponding to the bitmap is extracted by analyzing the memory snapshot file. By analyzing whether the bitmap data is the same, it is possible to determine whether the application has memory leaks caused by repeated creation of bitmap resources, accurately and quickly locate applications with memory leaks, and improve the efficiency and accuracy of application memory optimization. speed, reduce unnecessary memory consumption, and improve the experience of terminal use.

Optionally, the comparison module 33 is configured to use the message digest algorithm 5 to compare the bitmap data of at least two bitmaps extracted by the extraction module 32 .

Wherein, message digest algorithm 5 (MD5) may be used to compare the bitmap data to find the bitmap data of the same bitmap.

In this embodiment, other algorithms may also be used to identify the same bitmap. If the same bitmap does not exist in the memory snapshot file, it means that there is no memory leak problem. If the same bitmap exists in the memory snapshot file, the application has a memory leak. By identifying the same bitmap in the memory snapshot file, determine whether the application has memory leaks caused by repeated creation of bitmap resources, further accurately and quickly locate applications with memory leaks, and improve application memory optimization. Efficiency and accuracy, reduce unnecessary memory consumption, and improve the experience of terminal use.

Fig. 4 is a block diagram of a reminder module shown according to an exemplary embodiment, as shown in Fig. 4, the reminder module 34 includes

The sending sub-module 41 is configured to send the bitmap data of the same bitmap to the preset terminal in binary format; or send the bitmap data of the same bitmap to the preset terminal in bitmap format.

Wherein, the preset terminal may be a terminal of an application program developer. When an application program has a memory leak problem caused by repeated creation of bitmap resources, the developer of the application program or the user of the terminal can be reminded.

In this embodiment, by notifying the developer or the user of the memory leak problem, it is convenient for the developer to optimize the memory leak problem caused by repeatedly creating bitmap resources in the application program, and it is convenient for the user to accurately and quickly locate the application program with the memory leak , improve the efficiency and accuracy of application memory optimization, reduce unnecessary memory consumption, and improve the experience of terminal use. You can directly send the bitmap data in binary format to the preset terminal, or convert the bitmap data into a visible bitmap and send it to the preset terminal. In this way, the user of the preset terminal can discover the problem of repeatedly creating bitmap resources in the application through the received bitmap data or bitmap, so that developers can optimize the application in time, reduce unnecessary memory consumption, and improve the experience of using the terminal Spend.

The present disclosure also provides a memory detection device, including:

processor;

memory for storing processor-executable instructions;

Wherein, the processor is configured as:

When the application meets the preset conditions, obtain the memory snapshot file of the application;

Extracting the bitmap data of the at least two bitmaps from the memory snapshot file;

comparing the at least two bitmaps according to the bitmap data;

When the same bitmap exists in the memory snapshot file, a preset reminder operation is performed.

Fig. 5 is a block diagram of an apparatus for memory detection according to an exemplary embodiment, and the apparatus is applicable to a terminal device. For example, the apparatus 1700 may be a video camera, a recording device, a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.

Apparatus 1700 may include one or more of the following components: processing component 1702, memory 1704, power supply component 1706, multimedia component 1708, audio component 1710, input/output (I/O) interface 1712, sensor component 1714, and communication component 1716 .

The processing component 1702 generally controls the overall operations of the device 1700, such as those associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 1702 may include one or more processors 1720 to execute instructions to complete all or part of the steps of the above method. Additionally, processing component 1702 may include one or more modules that facilitate interaction between processing component 1702 and other components. For example, processing component 1702 may include a multimedia module to facilitate interaction between multimedia component 1708 and processing component 1702 .

The memory 1704 is configured to store various types of data to support operations at the device 1700 . Examples of such data include instructions for any application or method operating on device 1700, contact data, phonebook data, messages, pictures, videos, and the like. The memory 1704 can be realized by any type of volatile or non-volatile memory device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk.

The power supply component 1706 provides power to various components of the device 1700 . Power components 1706 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 1700 .

The multimedia component 1708 includes a screen that provides an output interface between the device 1700 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense a boundary of a touch or swipe action, but also detect duration and pressure associated with the touch or swipe action. In some embodiments, the multimedia component 1708 includes a front camera and/or a rear camera. When the device 1700 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capability.

The audio component 1710 is configured to output and/or input audio signals. For example, the audio component 1710 includes a microphone (MIC), which is configured to receive external audio signals when the device 1700 is in operation modes, such as call mode, recording mode and voice recognition mode. Received audio signals may be further stored in memory 1704 or sent via communication component 1716 . In some embodiments, the audio component 1710 also includes a speaker for outputting audio signals.

The I/O interface 1712 provides an interface between the processing component 1702 and a peripheral interface module, and the above peripheral interface module may be a keyboard, a click wheel, a button, and the like. These buttons may include, but are not limited to: a home button, volume buttons, start button, and lock button.

Sensor assembly 1714 includes one or more sensors for providing status assessments of various aspects of device 1700 . For example, the sensor component 1714 can detect the open/closed state of the device 1700, the relative positioning of components, such as the display and keypad of the device 1700, and the sensor component 1714 can also detect a change in the position of the device 1700 or a component of the device 1700 , the presence or absence of user contact with the device 1700, the device 1700 orientation or acceleration/deceleration and the temperature change of the device 1700. Sensor assembly 1714 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. Sensor assembly 1714 may also include optical sensors, such as CMOS or CCD image sensors, for use in imaging applications. In some embodiments, the sensor assembly 1714 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.

The communication component 1716 is configured to facilitate wired or wireless communication between the apparatus 1700 and other devices. The device 1700 can access wireless networks based on communication standards, such as WiFi, 2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 1716 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1716 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wide Band (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, apparatus 1700 may be programmed by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the methods described above.

In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium including instructions, such as the memory 1704 including instructions, which can be executed by the processor 1720 of the device 1700 to implement the above method. For example, the non-transitory computer readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.

A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the device 1700, the device 1700 is enabled to perform the above-mentioned memory detection method, the method comprising:

When the application meets the preset conditions, obtain the memory snapshot file of the application;

Extracting the bitmap data of the at least two bitmaps from the memory snapshot file;

comparing the at least two bitmaps according to the bitmap data;

When the same bitmap exists in the memory snapshot file, a preset reminder operation is performed.

Optionally, the acquiring the memory snapshot file of the application includes:

Invoke a preset memory debugging program, generate a memory snapshot file of the application program according to the memory data of the application program, and the memory snapshot file is in a binary format.

Optionally, the extracting bitmap data of at least two bitmaps from the memory snapshot file includes:

Using a preset memory analysis program to analyze the memory snapshot file and extract bitmap data of at least two bitmaps;

The comparing the at least two bitmaps according to the bitmap data includes:

A message digest algorithm 5 is used to compare the bitmap data of the at least two bitmaps.

Optionally, the execution of preset reminder operations includes:

sending the bitmap data of the same bitmap to the preset terminal in binary format;

or

sending the bitmap data of the same bitmap to the preset terminal in a bitmap format.

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any modification, use or adaptation of the present disclosure, and these modifications, uses or adaptations follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not disclosed in the present disclosure . The specification and examples are to be considered exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It should be understood that the present disclosure is not limited to the precise constructions which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (9)

1. A memory detection method, characterized in that, comprising: When the application meets the preset conditions, obtain the memory snapshot file of the application; Extracting the bitmap data of the at least two bitmaps from the memory snapshot file; comparing the at least two bitmaps according to the bitmap data; When the same bitmap exists in the memory snapshot file, a preset reminder operation is performed. 2. The method according to claim 1, wherein said obtaining the memory snapshot file of said application program comprises: Invoke a preset memory debugging program, generate a memory snapshot file of the application program according to the memory data of the application program, and the memory snapshot file is in a binary format. 3. The method according to claim 2, wherein the extracting the bitmap data of at least two bitmaps from the memory snapshot file comprises: Using a preset memory analysis program to analyze the memory snapshot file and extract bitmap data of at least two bitmaps; The comparing the at least two bitmaps according to the bitmap data includes: A message digest algorithm 5 is used to compare the bitmap data of the at least two bitmaps. 4. The method according to claim 1, wherein the performing preset reminder operation comprises: sending bitmap data of said same bitmap to a preset terminal in binary format; or sending the bitmap data of the same bitmap to the preset terminal in a bitmap format. 5. A memory detection device, characterized in that, comprising: An acquisition module, configured to acquire a memory snapshot file of the application when the application meets a preset condition; An extraction module, configured to extract the bitmap data of the at least two bitmaps from the memory snapshot file acquired by the acquisition module; A comparison module, configured to compare the at least two bitmaps according to the bitmap data extracted by the extraction module; The reminding module is used to execute a preset reminding operation when the comparison module obtains that the same bitmap exists in the memory snapshot file. 6. The device according to claim 5, characterized in that, The acquiring module is configured to invoke a preset memory debugging program, and generate a memory snapshot file of the application program according to the memory data of the application program, and the memory snapshot file is in a binary format. 7. The device of claim 6, wherein: The extraction module is configured to use a preset memory analysis program to analyze the memory snapshot file obtained by the acquisition module, and extract bitmap data of at least two bitmaps; The comparison module is configured to use the message digest algorithm 5 to compare the bitmap data of at least two bitmaps extracted by the extraction module. 8. The device according to claim 15, wherein the reminder module comprises: The sending submodule is configured to send the bitmap data of the same bitmap to the preset terminal in binary format; or send the bitmap data of the same bitmap to the preset terminal in bitmap format. 9. A memory detection device, characterized in that, comprising: processor; memory for storing processor-executable instructions; Wherein, the processor is configured as: When the application meets the preset conditions, obtain the memory snapshot file of the application; Extracting the bitmap data of the at least two bitmaps from the memory snapshot file; comparing the at least two bitmaps according to the bitmap data; When the same bitmap exists in the memory snapshot file, a preset reminder operation is performed.