CN116504039A - Abnormality identification method and device for indoor equipment and electronic equipment - Google Patents

Abstract

The invention discloses an abnormality identification method, device and electronic equipment for indoor equipment. The method includes obtaining equipment information of all electronic equipment in a preset area every preset time period, and generating an investigation path based on each equipment information; based on the investigation path, continuous Collect and analyze the device map to determine the device status of each electronic device; when the device status is abnormal, generate warning information based on the device map and send the warning information to the preset terminal. The present invention does not need manual investigation, can monitor the abnormality of the equipment in the computer room for 24 hours, and can find the abnormality in time and provide feedback, and the abnormality processing efficiency is high. In addition, according to the age and failure frequency of each electronic device, the troubleshooting path of map collection will be continuously adjusted, so as to focus on monitoring the equipment that is prone to problems, and further improve the efficiency of exception handling.

Description

Abnormal identification method, device and electronic equipment for indoor equipment

technical field

The present application relates to the technical field of map recognition, and in particular, to a method, device and electronic device for abnormal recognition of indoor equipment.

Background technique

In indoor environments, especially in environments such as computer rooms and warehouses, a large number of electronic devices are generally arranged in a centralized manner to operate. Due to the high precision of electronic equipment, it is prone to failure. In order to ensure the normal operation of the computer room, a plurality of staff members are generally arranged to check the equipment in the computer room in turn according to the schedule. However, the electronic equipment works normally most of the time. It is impossible for the staff to walk around and check in the computer room uninterruptedly. Generally, an overall check is carried out at regular intervals. As a result, when the electronic equipment is abnormal, it may not be found in time. Moreover, the absolute temperature of some electronic equipment is not high when the temperature is abnormal, and it is difficult to find the abnormality in time through manual inspection, which also causes a waste of human resources. In addition, for some specific electronic equipment, ordinary staff cannot judge and maintain the abnormality if they find the abnormality in time, and it is necessary to set up additional experts to sit on duty, further causing a waste of human and material resources.

Contents of the invention

In order to solve the above problems, the embodiments of the present application provide an abnormality identification method, device, and electronic equipment for indoor equipment.

In the first aspect, the embodiment of the present application provides a method for identifying abnormalities of indoor equipment, the method including:

Acquiring the device information of all electronic devices in the preset area every preset time period, and generating an investigation path based on each of the device information;

Continuously collect device maps based on the troubleshooting path, and analyze the device maps to determine the device status of each of the electronic devices;

When there is an abnormality in the state of the device, generating warning information based on the device graph, and sending the warning information to a preset terminal.

Preferably, the device information of all electronic devices in the preset area is obtained every preset time period, and the troubleshooting path is generated based on each of the device information, including:

Obtain the equipment information of all electronic equipment in the preset area every preset time period, and the equipment information includes equipment category, equipment historical fault information, and equipment commissioning time;

calculating the detection weights of the electronic devices based on the device category, historical fault information of the devices and the time the devices have been put into use, and calculating the final weights of the electronic devices according to each of the detection weights;

A troubleshooting path is generated based on each of the final weights.

Preferably, the generation of the troubleshooting path based on each of the final weights includes:

comparing each of the final weights to determine the monitoring priority of each of the electronic devices;

Allocate a monitoring duration ratio to each of the electronic devices according to each monitoring priority, and generate a troubleshooting path based on each monitoring duration ratio.

Preferably, the continuous collection of device maps based on the troubleshooting path, and parsing of the device maps to determine the device status of each of the electronic devices includes:

Continuously collect equipment maps based on the troubleshooting path, and analyze the device maps to obtain device index parameter information, and the device index parameter information includes temperature, indicator light color, and material;

Each index parameter in the device index parameter information is compared with a standard index parameter to determine the device status of each electronic device.

Preferably, when the device state is characterized as abnormal, generating warning information based on the device map, and sending the warning information to a preset terminal, including:

When the state of the device is characterized as abnormal, determine the coordinate position of the abnormal electronic device based on the device map;

Generate alert information according to the coordinate position and device status, and send the alert information to a preset terminal.

Preferably, after sending the warning information to the preset terminal, it further includes:

After the device status is characterized as normal, the device information is updated.

Preferably, the method also includes:

When a manipulation command is received, a control target is determined, and a control command is sent to the control target based on the manipulation command, so as to make the control target complete a preset manipulation action.

In the second aspect, the embodiment of the present application provides an abnormality identification device for indoor equipment, and the device includes:

An acquisition module, configured to acquire device information of all electronic devices in a preset area every preset time period, and generate an investigation path based on each of the device information;

A collection module, configured to continuously collect device maps based on the troubleshooting path, and analyze the device maps to determine the device status of each of the electronic devices;

A generating module, configured to generate warning information based on the device map when the device state is characterized as abnormal, and send the warning information to a preset terminal.

In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor implements the first method when executing the computer program. Aspect or the steps of the method provided by any possible implementation of the first aspect.

In a fourth aspect, the embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it can realize any possible implementation of the first aspect or the first aspect method provided.

The beneficial effects of the present invention are: no need for manual investigation, 24-hour abnormality monitoring for equipment in the computer room, timely detection of abnormalities and feedback, and high abnormality handling efficiency. In addition, according to the age and failure frequency of each electronic device, the troubleshooting path of map collection will be continuously adjusted, so as to focus on monitoring the equipment that is prone to problems, and further improve the efficiency of exception handling.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the accompanying drawings required in the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without making creative efforts.

FIG. 1 is a schematic flowchart of a method for identifying abnormality of indoor equipment provided by an embodiment of the present application;

FIG. 2 is a schematic structural diagram of an abnormality identification device for indoor equipment provided by an embodiment of the present application;

FIG. 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

In the following introduction, the terms "first" and "second" are only used for the purpose of description, and should not be understood as indicating or implying relative importance. The following introduction provides multiple embodiments of the present application, and different embodiments can be replaced or combined and combined, so the present application can also be considered to include all possible combinations of the same and/or different embodiments described. Thus, if one embodiment contains features A, B, C, and another embodiment contains features B, D, then the application should also be considered to include all other possible combinations containing one or more of A, B, C, D Although this embodiment may not be clearly written in the following content.

The following description provides examples, and does not limit the scope, applicability or examples set forth in the claims. Changes may be made in the function and arrangement of described elements without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.

Referring to FIG. 1 , FIG. 1 is a schematic flowchart of a method for identifying anomalies of indoor equipment provided by an embodiment of the present application. In the embodiment of this application, the method includes:

S101. Obtain device information of all electronic devices in a preset area every preset time period, and generate an investigation path based on each of the device information.

The subject of execution of this application may be a server electrically connected to the camera in the computer room.

In the embodiment of the present application, for each electronic device in the computer room, its model, manufacturer, and function to be realized may be different, so the probability of abnormality of different electronic devices is different. This application will obtain the device information of all electronic devices in the preset area (namely, the computer room), so as to judge the actual situation of each electronic device, and then generate an investigation path according to the judgment result, so as to ensure that the inspection process can Focus on monitoring and checking electronic equipment that is more prone to abnormalities. In addition, since the device information of the electronic device may change over time, thereby affecting the importance of its monitoring, the device information will be re-obtained to generate a new troubleshooting path after a preset period of time.

In a possible implementation manner, step S101 includes:

Obtain the equipment information of all electronic equipment in the preset area every preset time period, and the equipment information includes equipment category, equipment historical fault information, and equipment commissioning time;

calculating the detection weights of the electronic devices based on the device category, historical fault information of the devices and the time the devices have been put into use, and calculating the final weights of the electronic devices according to each of the detection weights;

A troubleshooting path is generated based on each of the final weights.

In the embodiment of the present application, the equipment information includes equipment category, equipment history fault information, and equipment commissioning time. Electronic equipment in certain equipment classes may be more prone to anomalies and are the subject of greater attention. In addition, the number of times the electronic equipment has failed and the time at which the failure occurred can be determined through the historical failure information of the equipment. How long the equipment has been in use can be determined by the time the equipment has been put into use. For new equipment that has just been put into use, because it is not clear whether its state is stable, it will need to be monitored intensively. For old equipment that has been in use for several years , which are also more prone to failure and require intensive monitoring. In summary, according to the specific data of each item of information in the device information, the detection weight of the electronic device will be calculated based on each item of data, and then the electronic device will be obtained by integrating and calculating the detection weights corresponding to each item of information. the final weight of . In this way, an investigation path is generated according to the final weights among the various electronic devices, so that the inspection path can monitor and cover electronic devices with higher weights for a longer period of time.

In an implementable manner, the generation of the troubleshooting path based on each of the final weights includes:

comparing each of the final weights to determine the monitoring priority of each of the electronic devices;

Allocate a monitoring duration ratio to each of the electronic devices according to each monitoring priority, and generate a troubleshooting path based on each monitoring duration ratio.

In the embodiment of this application, after the final weight is calculated, the monitoring priority of each electronic device will be determined by comparing the numerical values of each final weight, so as to assign a corresponding monitoring duration to each electronic device according to the monitoring priority ratio to generate a troubleshooting path. In the final inspection path generated, for electronic devices with higher priority, they will be monitored for a longer period of time through the camera. The specific monitoring method can be that the camera stops for a long time to identify the map, or it can be set through the intersection of the path, so that the camera will pass the electronic device multiple times during the movement of a single inspection path.

S102. Continuously collect device maps based on the troubleshooting path, and analyze the device maps to determine device states of each of the electronic devices.

In this embodiment of the application, one or more cameras connected to the server are installed in the computer room, and the server can control the movement or rotation of these cameras so that the cameras can continuously collect device maps according to the inspection path. By analyzing the device map, it is possible to judge the device status of the electronic device, and then determine whether the electronic device is abnormal. Wherein, the camera can be fixedly installed, or can be moved by means of being installed on the top slide rail or the like. Since the camera collects the map information of the device, which includes the visible light map and the non-visible light map, the temperature and other parameters of the electronic device are determined through the analysis of the map, so the troubleshooting path actually determines the collection of the device map of each device Sequence and acquisition time, for equipment that needs to be monitored, repeated routes can be set to monitor it multiple times, and the acquisition angle of the camera has little effect on the results. Therefore, for a movable camera, it can directly move along the inspection path to collect device maps. For a fixed camera, the lens rotation of multiple cameras can be combined to realize the acquisition process of the inspection path.

In a possible implementation manner, step S102 includes:

Continuously collect equipment maps based on the troubleshooting path, and analyze the device maps to obtain device index parameter information, and the device index parameter information includes temperature, indicator light color, and material;

Each index parameter in the device index parameter information is compared with a standard index parameter to determine the device status of each electronic device.

In the embodiment of the present application, based on the analysis of the collected equipment map, equipment index parameter information including temperature, indicator light color, and material can be obtained. Taking temperature as an example, by analyzing the device spectrum, the temperature of the electronic device can be identified from the corresponding hot spots in the infrared spectrum. Through the visible light spectrum and ultraviolet light spectrum, it is also possible to identify the color of the indicator light and the material of the surface of the electronic device. When an electronic device is in a normal working state, its corresponding index parameters should correspond to the standard index parameters of the electronic device, so by comparing the two, the device status of each electronic device can be determined.

S103. When the device state is characterized as abnormal, generate warning information based on the device graph, and send the warning information to a preset terminal.

In the embodiment of the present application, after the device status is determined, the current status of the device can be judged according to the data corresponding to the device status. If the device status is characterized as abnormal, it is considered that the electronic device is abnormal, and a staff member is required to go to check it. View and maintain. Therefore, the warning information will be generated according to the device map of the electronic device, and sent to the terminal corresponding to the preset staff, and the terminal can be a mobile phone terminal or a computer terminal.

In a possible implementation manner, step S103 includes:

When the state of the device is characterized as abnormal, determine the coordinate position of the abnormal electronic device based on the device map;

Generate alert information according to the coordinate position and device status, and send the alert information to a preset terminal.

In the embodiment of the present application, after the electronic device with an abnormal device state is determined, the position of the camera during collection will be determined according to the collection time of the device map corresponding to the device state, and then the coordinate position of the abnormal electronic device with the problem will be determined. The server will generate warning information based on the coordinate position and equipment status, and send it to the preset terminal used by the staff, so that it can quickly confirm the problematic electronic equipment based on the warning information, and initially understand which aspect of the electronic equipment has failed. .

In a possible implementation manner, after sending the warning information to the preset terminal, it further includes:

After the device status is characterized as normal, the device information is updated.

In the embodiment of the present application, when the device status of the abnormal electronic device returns to normal, the server considers that the staff has maintained the electronic device, and will update the device information at this time, so as to facilitate the generation of subsequent troubleshooting paths The accuracy of the device information on which the process is based.

In one possible implementation, the method also includes:

When a manipulation command is received, a control target is determined, and a control command is sent to the control target based on the manipulation command, so as to make the control target complete a preset manipulation action.

In the embodiment of this application, in some cases, the abnormality of the device is serious, for example, the color of the indicator light changes from green to yellow, and it often only needs to restart the device to return to normal. If the computer room is far away, it is inefficient to ask the staff to go to the computer room in person just to restart the equipment. Therefore, a device such as a robotic arm can be installed next to the electronic device. After the server receives the control command sent by the staff, it will send a control command to the control target, that is, the corresponding robotic arm, so that it can complete the preset operation action to control the electronic device. The electronic equipment is restarted, so as to realize the remote handling of some simple problems by the staff, and there is no need to go there in person if any problem occurs.

The device for identifying abnormalities of indoor equipment provided by the embodiment of the present application will be described in detail below with reference to FIG. 2 . It should be noted that the abnormality identification device for indoor equipment shown in Figure 2 is used to execute the method of the embodiment shown in Figure 1 of the present application, and for the sake of illustration, only the parts related to the embodiment of the present application are shown, specifically For technical details not disclosed, please refer to the embodiment shown in FIG. 1 of this application.

Please refer to FIG. 2 . FIG. 2 is a schematic structural diagram of an abnormality identification device for indoor equipment provided by an embodiment of the present application. As shown in Figure 2, the device includes:

An acquisition module 201, configured to acquire device information of all electronic devices in a preset area every preset time period, and generate an investigation path based on each of the device information;

The collection module 202 is configured to continuously collect device maps based on the troubleshooting path, analyze the device maps, and determine the device status of each of the electronic devices;

The generating module 203 is configured to generate warning information based on the device map when the device state is characterized as abnormal, and send the warning information to a preset terminal.

In an implementable manner, the obtaining module 201 includes:

An acquisition unit, configured to acquire equipment information of all electronic equipment in a preset area every preset time period, the equipment information including equipment category, equipment history fault information, equipment put into use time;

a weight calculation unit, configured to calculate the detection weight of the electronic device based on the device category, historical fault information of the device and the time the device has been put into use, and calculate the final weight of the electronic device according to each of the detection weights;

A generating unit, configured to generate a troubleshooting path based on each of the final weights.

In an implementation manner, the generating unit includes:

a comparison element, configured to compare each of the final weights and determine the monitoring priority of each of the electronic devices;

A generating element, configured to allocate a monitoring duration ratio to each of the electronic devices according to each of the monitoring priorities, and generate a troubleshooting path based on each of the monitoring duration ratios.

In a possible implementation manner, the acquisition module 202 includes:

The acquisition unit is configured to continuously collect equipment maps based on the troubleshooting path, and analyze the equipment maps to obtain device index parameter information, and the device index parameter information includes temperature, indicator light color, and material;

The comparing unit is configured to compare each index parameter in the device index parameter information with a standard index parameter to determine the device status of each electronic device.

In an implementation manner, the generation module 203 includes:

A determining unit, configured to determine the coordinate position of the abnormal electronic device based on the device map when the device state is characterized as abnormal;

A sending unit, configured to generate warning information according to the coordinate position and device status, and send the warning information to a preset terminal.

In a possible embodiment, the device also includes:

An update module, configured to update the device information after the device state is characterized as normal.

In a possible embodiment, the device also includes:

The sending module is used to send control instructions to make the control target complete preset manipulation actions.

Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented by means of software and/or hardware. "Unit" and "module" in this specification refer to software and/or hardware that can complete specific functions independently or in cooperation with other components, where the hardware can be, for example, Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), Integrated Circuit (Integrated Circuit, IC), etc.

Each processing unit and/or module in the embodiment of the present application may be implemented by an analog circuit for realizing the functions described in the embodiments of the present application, or may be realized by software for performing the functions described in the embodiments of the present application.

Referring to FIG. 3 , it shows a schematic structural diagram of an electronic device involved in an embodiment of the present application, and the electronic device can be used to implement the method in the embodiment shown in FIG. 1 . As shown in FIG. 3 , the electronic device 300 may include: at least one central processing unit 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

Wherein, the communication bus 302 is used to realize connection and communication between these components.

Wherein, the user interface 303 may include a display screen (Display) and a camera (Camera), and the optional user interface 303 may also include a standard wired interface and a wireless interface.

Wherein, the network interface 304 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

Wherein, the central processing unit 301 may include one or more processing cores. The central processing unit 301 uses various interfaces and lines to connect various parts in the entire electronic device 300, and by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305, Various functions of the terminal 300 are executed and data is processed. Optionally, the central processing unit 301 may adopt at least one of digital signal processing (Digital Signal Processing, DSP), field-programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (ProgrammableLogic Array, PLA). implemented in the form of hardware. The central processing unit 301 may integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics central processing unit (Graphics Processing Unit, GPU), a modem, and the like. Among them, the CPU mainly handles the operating system, user interface and application programs, etc.; the GPU is used to render and draw the content that needs to be displayed on the display screen; the modem is used to handle wireless communication. It can be understood that, the above-mentioned modem may not be integrated into the central processing unit 301, but may be realized by a single chip.

Wherein, the memory 305 may include a random access memory (Random Access Memory, RAM), and may also include a read-only memory (Read-Only Memory). Optionally, the storage 305 includes a non-transitory computer-readable storage medium (non-transitory computer-readable storage medium). Memory 305 may be used to store instructions, programs, codes, sets of codes, or sets of instructions. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), Instructions, etc. used to implement the above method embodiments; the storage data area can store data, etc. involved in the above method embodiments. Optionally, the memory 305 may also be at least one storage device located away from the aforementioned central processing unit 301 . As shown in FIG. 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and program instructions.

In the electronic device 300 shown in FIG. 3 , the user interface 303 is mainly used to provide the user with an input interface and obtain the data input by the user; and the central processing unit 301 can be used to call the abnormality identification application of the indoor device stored in the memory 305 program, and specifically do the following:

Acquiring the device information of all electronic devices in the preset area every preset time period, and generating an investigation path based on each of the device information;

Continuously collect device maps based on the troubleshooting path, and analyze the device maps to determine the device status of each of the electronic devices;

When there is an abnormality in the state of the device, generating warning information based on the device graph, and sending the warning information to a preset terminal.

The present application also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are realized. Among them, the computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disk, optical disk, DVD, CD-ROM, microdrive, and magneto-optical disk, ROM, RAM, EPROM, EEPROM, DRAM, VRAM, flash memory device , magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and/or data.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Depending on the application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or can be Integrate into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some service interfaces, and the indirect coupling or communication connection of devices or units may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory. Several instructions are included to make a computer device (which may be a personal computer, server or network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), mobile hard disk, magnetic disk or optical disk, and other media that can store program codes.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by entering a program to instruct related hardware. The program can be stored in a computer-readable memory, and the memory can include: flash memory disk, read-only memory (Read-Only Memory, ROM), random access device (RandomAccessMemory, RAM), magnetic disk or optical disk, etc.

What is described above is only an exemplary embodiment of the present disclosure, and should not limit the scope of the present disclosure. That is, all equivalent changes and modifications made according to the teachings of the present disclosure still fall within the scope of the present disclosure. Embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure 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 described in the present disclosure . The specification and examples are to be considered exemplary only, with the scope and spirit of the present disclosure defined by the claims.

Claims (10)

1. An anomaly identification method for an indoor device, the method comprising:

acquiring equipment information of all electronic equipment in a preset area every time a preset duration passes, and generating an investigation path based on the equipment information;

continuously acquiring an equipment map based on the investigation path, analyzing the equipment map, and determining the equipment state of each electronic equipment;

when the equipment state is characterized as abnormal, generating warning information based on the equipment map, and sending the warning information to a preset terminal.

2. The method of claim 1, wherein the obtaining device information of all electronic devices in the preset area for each preset time period, and generating the investigation path based on each device information, comprises:

acquiring equipment information of all electronic equipment in a preset area every time a preset duration passes, wherein the equipment information comprises equipment category, equipment history fault information and equipment input use time;

calculating detection weights of the electronic equipment based on the equipment category, the equipment history fault information and the equipment input use time respectively, and calculating final weights of the electronic equipment according to the detection weights;

and generating an investigation path based on each final weight.

3. The method of claim 2, wherein the generating an audit path based on each of the final weights comprises:

comparing the final weights to determine the monitoring priority of each electronic device;

and distributing monitoring duration proportion to each electronic device according to each monitoring priority, and generating an investigation path based on each monitoring duration proportion.

4. The method of claim 1, wherein the continuously acquiring a device map based on the investigation path and resolving the device map, determining a device status of each of the electronic devices, comprises:

continuously acquiring an equipment map based on the investigation path, and analyzing the equipment map to obtain equipment index parameter information, wherein the equipment index parameter information comprises temperature, indicator lamp color and material;

and comparing each index parameter in the equipment index parameter information with a standard index parameter respectively to determine the equipment state of each electronic equipment.

5. The method of claim 1, wherein the generating alert information based on the device profile and transmitting the alert information to a preset terminal when the device state is characterized as abnormal comprises:

determining a coordinate location of an abnormal electronic device based on the device map when the device state is characterized as abnormal;

generating warning information according to the coordinate position and the equipment state, and sending the warning information to a preset terminal.

6. The method of claim 1, wherein after the sending the alert information to the preset terminal, further comprises:

and updating the device information after the device state is characterized as normal.

7. The method according to claim 1, wherein the method further comprises:

when a control instruction is received, a control target is determined, and a control instruction is sent to the control target based on the control instruction, so that the control target can complete a preset control action.

8. An abnormality recognition apparatus for an indoor device, the apparatus comprising:

the device comprises an acquisition module, a search module and a search module, wherein the acquisition module is used for acquiring device information of all electronic devices in a preset area every time a preset duration passes, and generating an investigation path based on the device information;

the acquisition module is used for continuously acquiring an equipment map based on the investigation path, analyzing the equipment map and determining the equipment state of each electronic equipment;

and the generation module is used for generating warning information based on the equipment map and sending the warning information to a preset terminal when the equipment state is characterized as abnormal.

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1-7 when the computer program is executed.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-7.