Multi-source data acquisition and processing method for command and control communication system equipment

Abstract

The invention discloses a multi-source data acquisition and processing method for command and control communication system equipment, which is characterized by comprising the following steps of: acquiring multi-source data of the command and control communication system equipment; performing preprocessing on the multi-source data; analyzing and processing the preprocessed multi-source data according to a preset rule to obtain a multi-source data processing result; and storing the multi-source data processing result in a database, and calling the multi-source data processing result according to user requirements. According to the invention, a distributed architecture and a streaming processing technology are adopted, and the data processing efficiency is improved. According to the method, thousands of data can be collected, cleaned and analyzed in real time per second, and the requirements in a high-concurrency scene are met. According to the method, comprehensive, real-time and accurate acquisition and efficient processing of multi-source data are realized, and the method has a wide application prospect and an important practical value.

Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition and processing, and in particular to a multi-source data acquisition and processing method for command and control communication system equipment. Background Art

[0002] With the rapid advancement of communications technology, command and control communication system equipment has been widely used in various fields, including military and civilian applications. However, in practical applications, these devices often need to process data from multiple different sources, such as radar, satellites, drones, and ground sensors. This data varies significantly in format, type, and real-time requirements, posing significant challenges to data collection and processing. Traditional methods often suffer from slow data processing speeds and low accuracy. Especially in scenarios with large data volumes and high concurrency, traditional methods are no longer able to meet the requirements of real-time collection, cleaning, and analysis. Therefore, an efficient multi-source data collection and processing method is urgently needed to improve the overall performance of command and control communication system equipment. Summary of the Invention

[0003] In view of the above problems, the present invention is proposed to provide a multi-source data collection and processing method for command and control communication system equipment that overcomes the above problems or at least partially solves the above problems.

[0004] In order to solve the above technical problems, the embodiments of the present application disclose the following technical solutions:

[0005] In a first aspect, an embodiment of the present invention discloses a method for collecting and processing multi-source data of a command and control communication system device, comprising:

[0006] S100. Collect multi-source data of the communication system equipment;

[0007] S200. Preprocessing the multi-source data;

[0008] S300. Analyze and process the preprocessed multi-source data according to preset rules to obtain multi-source data processing results;

[0009] S400. The multi-source data processing results are stored in a database and called upon according to user needs.

[0010] Furthermore, in S100, the multi-source data of the command and control communication system device includes at least satellite data, command and control data, radio station data and heartbeat data.

[0011] Furthermore, in S200, the multi-source data is pre-processed, specifically including:

[0012] The acquired raw data is processed in a protocolized manner to ensure uniformity and standardization of the data format; the latitude and longitude data in the device location information are processed in a unified format, including coordinate system conversion and data format normalization; the device information belonging to the device is processed in a unified format, involving the integration and standardization of device coding, type, and attribute information; the timestamp information of the data is processed in a unified format to ensure consistency and comparability of the time series; the protocolized data is parsed to complete key information, such as the device, location information, and timestamp, and the parsed data is compared with historical data to detect data consistency and integrity, and record data changes and anomalies.

[0013] Furthermore, in S300, the pre-processed multi-source data is analyzed and processed according to preset rules to obtain a multi-source data processing result; when the multi-source data is satellite data, the preset rules include: checking whether a data record of the device already exists in a pre-stored object using a device identifier or other unique identifier; if the data record of the device does not exist in the pre-stored object, storing the parameter value of the device based on the received data; if the data record of the device exists in the pre-stored object, further determining whether the pre-stored object contains specific parameter data required by the device; if the pre-stored object does not contain the parameter data corresponding to the device, additionally storing the parameter value of the device based on the received data; if the pre-stored object contains the parameter data corresponding to the device, it is proved that the data has reached a complete data processing cycle, and all relevant data of the device are sorted and extracted; and the satellite status data is parsed through the complete data, including at least satellite signal strength and location information.

[0014] Furthermore, in S300, the pre-processed multi-source data is analyzed and processed according to preset rules to obtain multi-source data processing results; when the multi-source data is accusation data, the preset rules include: parsing the collected instruction data to extract the instruction content and related parameters therein; performing statistical analysis on the instruction content and parameters obtained by parsing, including at least frequency statistics of instruction types and range distribution of parameter values; parsing the received routing data to extract router information and connection relationships therein; and analyzing and counting routing distribution based on the router information and connection relationships.

[0015] Furthermore, in S300, the pre-processed multi-source data is analyzed and processed according to preset rules to obtain multi-source data processing results; when the multi-source data is radio station data, the preset rules include: obtaining various parameter data of the radio station equipment from the radio station equipment, including at least frequency range, transmission power, and modulation mode; and counting the usage of radio equipment in each frequency band and frequency band utilization information.

[0016] Furthermore, in S300, the pre-processed multi-source data is analyzed and processed according to preset rules to obtain a multi-source data processing result; when the multi-source data is radio data, the preset rules include: obtaining radio voice data from the radio device, judging whether the radio voice data is valid data, and if the radio voice data is valid data, judging whether there is a data record of the device in the pre-storage object, and if there is a data record of the device, appending the received voice data to the corresponding device data in the pre-storage object; if there is no data record of the device in the pre-storage object, creating a new data record and adding the received voice data to the record; parsing and converting the received voice data into a processable audio format or text format; unifying the voice data and device parameters, performing frequency band screening on the received voice data, and pushing the data to the same frequency band device for display and circulation.

[0017] Furthermore, the received voice data is parsed and converted into a processable audio format or text format. The specific method includes: extracting the entire base64-encoded text content of the device from the received voice data, decoding the text content into PCM format audio data through a base64 decoding algorithm, using a temporary file system or memory cache to temporarily store the decoded PCM format audio data in a temporary file, converting the PCM format audio data into a WAV format file, temporarily storing the converted WAV format audio file in a temporary file system, uploading the WAV format audio file to the minio file server through a network communication protocol and a minio client, and obtaining the path address of the uploaded WAV file on the server through the minio file server API, which at least includes the bucket name and file path information.

[0018] Furthermore, in S300, the pre-processed multi-source data is analyzed and processed according to preset rules to obtain a multi-source data processing result; when the multi-source data is heartbeat data, the preset rules include:

[0019] Update device status: Match and analyze the collected heartbeat data with the device status information in real time, and use defined algorithms and logic to determine the device's working status, including at least normal, abnormal, and maintenance-required status, and update the device status database in real time.

[0020] Statistics on equipment presence; using data mining technology to analyze and model historical and real-time heartbeat data; predicting equipment operation status based on equipment characteristics and working modes, and statistics on equipment presence;

[0021] Statistics are kept on the status of various types of equipment; an equipment classification model is established to classify the equipment according to its function, model, manufacturer and other characteristics, and statistics are kept on the status of each type of equipment, including at least the number of equipment in place and the number of abnormal states.

[0022] In a second aspect, an embodiment of the present invention discloses an electronic device, including:

[0023] one or more processors;

[0024] a memory for storing one or more programs;

[0025] When the one or more programs are executed by the one or more processors, the one or more processors implement the multi-source data collection and processing method.

[0026] The beneficial effects of the above technical solutions provided by the embodiments of the present invention include at least:

[0027] The embodiment of the present invention discloses a multi-source data collection and processing method for commanding and controlling communication system equipment, which is characterized by comprising: collecting multi-source data of the commanding and controlling communication system equipment; pre-processing the multi-source data;

[0028] The preprocessed multi-source data is analyzed and processed according to preset rules to obtain multi-source data processing results; these multi-source data processing results are stored in a database and accessed according to user needs. The present invention utilizes a distributed architecture and streaming processing technology to improve data processing efficiency. The present invention enables real-time collection, cleaning, and analysis of thousands of data items per second, meeting the needs of high-concurrency scenarios. This invention achieves comprehensive, real-time, accurate collection and efficient processing of multi-source data, possessing broad application prospects and significant practical value.

[0029] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0031] Figure 1 This is a flow chart of a method for collecting and processing multi-source data of a command and control communication system device in embodiment 1 of the present invention;

[0032] Figure 2 This is a logic diagram for preprocessing multi-source data in Example 1 of the present invention;

[0033] Figure 3 This is a logic diagram of radio station voice data processing in Example 1 of the present invention;

[0034] Figure 4 This is a structural diagram of an electronic device in Example 2 of the present invention. DETAILED DESCRIPTION

[0035] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0036] In order to solve the problems existing in the prior art, an embodiment of the present invention provides a multi-source data collection and processing method for command and control communication system equipment.

[0037] Example 1

[0038] The present invention discloses a multi-source data acquisition and processing method for a command and control communication system device. Figure 1 ,include:

[0039] S100. Collect multi-source data of command and control communication system equipment; specifically, with the gradual promotion and application of military 4G technology in national defense construction, the rapid development of new generation information technologies such as the Internet of Things, big data, and virtual reality, the transition from individual combat command to unified combat command of multiple arms, from simple communication command and control equipment based on radios to the development of multiple communication modes such as military network 4G, radios, satellites, and radars, and the transition from a single communication equipment to a communication command and control combat mode involving multiple equipment, how to ensure the availability and reliability of various types of communication command and control equipment, give full play to the guarantee of command and control equipment in command and operation, and the quality assessment and drills of various types of equipment play a vital role.

[0040] Communications and command equipment integrates IT information technology with traditional communications services and applications, integrating various types of communications and command equipment. Data from various types of combat communications and command equipment is collected and analyzed using distributed data collection technology, and visualized in various environments. In S100 of this embodiment, the multi-source data from the command and command communication system equipment includes at least satellite data, command data, radio data, and heartbeat data.

[0041] S200. Preprocessing the multi-source data; In S200 of this embodiment, the multi-source data is preprocessed, such as Figure 2Specifically, it includes: protocol processing of the acquired raw data to ensure the uniformity and standardization of the data format; unified format processing of the latitude and longitude data in the device location information, including coordinate system conversion and data format normalization; unified format processing of the device information belonging to the device, involving the integration and standardization of device coding, type, and attribute information; unified format processing of the timestamp information of the data to ensure the consistency and comparability of the time series; parsing of the protocolized data, completing key information, including the device, location information, and timestamp, comparing the parsed data with historical data, detecting the consistency and integrity of the data, and recording data changes and abnormalities.

[0042] S300. Analyze and process the preprocessed multi-source data according to preset rules to obtain multi-source data processing results;

[0043] Specifically, when the multi-source data is satellite data, the preset rules include: checking whether a data record of the device already exists in the pre-stored object through a device identifier or other unique identifier; if the data record of the device does not exist in the pre-stored object, storing the parameter value of the device based on the received data; if the data record of the device exists in the pre-stored object, further determining whether the pre-stored object contains specific parameter data required by the device; if the pre-stored object does not contain the parameter data corresponding to the device, additionally storing the parameter value of the device based on the received data; if the pre-stored object contains the parameter data corresponding to the device, proving that the data has reached a complete data processing cycle, organizing and extracting all relevant data of the device; parsing satellite status data through the complete data, including at least satellite signal strength and location information.

[0044] When the multi-source data is accusation data, the preset rules include: parsing the collected instruction data to extract the instruction content and related parameters; performing statistical analysis on the parsed instruction content and parameters, including at least frequency statistics of instruction types and range distribution of parameter values; parsing the received routing data to extract router information and connection relationships; and analyzing and statistics the routing distribution based on the router information and connection relationships.

[0045] When the multi-source data is radio data, the preset rules include: obtaining various parameter data of the radio equipment from the radio equipment, including at least frequency range, transmission power, and modulation mode; and collecting statistics on the usage of radio equipment in each frequency band and frequency band utilization rate information.

[0046] When the multi-source data is radio data, the preset rules also include: obtaining radio voice data from the radio device, determining whether the radio voice data is valid data, and if the radio voice data is valid data, determining whether there is a data record of the device in the pre-storage object; if there is a data record of the device, appending the received voice data to the corresponding device data in the pre-storage object; if there is no data record of the device in the pre-storage object, creating a new data record and adding the received voice data to the record; parsing and converting the received voice data into a processable audio format or text format; unifying the voice data and device parameters, performing frequency band screening on the received voice data, and pushing the data to the same frequency band device for display and flow.

[0047] The received voice data is parsed and converted into a processable audio format or text format, such as Figure 3 The specific method includes: extracting the entire base64-encoded text content of the device from the received voice data, decoding the text content into PCM format audio data through a base64 decoding algorithm, temporarily storing the decoded PCM format audio data in a temporary file using a temporary file system or memory cache, converting the PCM format audio data into a WAV format file, temporarily storing the converted WAV format audio file in a temporary file system, uploading the WAV format audio file to the minio file server through a network communication protocol and a minio client, and obtaining the path address of the uploaded WAV file on the server through the minio file server API, which at least includes the storage bucket name and file path information.

[0048] When the multi-source data is heartbeat data, the preset rules include:

[0049] Update device status: Match and analyze the collected heartbeat data with the device status information in real time, and use defined algorithms and logic to determine the device's working status, including at least normal, abnormal, and maintenance-required status, and update the device status database in real time.

[0050] Statistics on equipment presence; using data mining technology to analyze and model historical and real-time heartbeat data; predicting equipment operation status based on equipment characteristics and working modes, and statistics on equipment presence;

[0051] Statistics are kept on the status of various types of equipment; an equipment classification model is established to classify the equipment according to its function, model, manufacturer and other characteristics, and statistics are kept on the status of each type of equipment, including at least the number of equipment in place and the number of abnormal states.

[0052] S400. The multi-source data processing results are stored in a database and called according to user needs. Specifically, first select a suitable database and select a suitable database system based on the characteristics of the data (such as structured, unstructured, data volume, read and write frequency, etc.), such as a relational database (MySQL, PostgreSQL), a NoSQL database (MongoDB, Cassandra), a time series database (InfluxDB), etc. Then design the database structure and design a reasonable database table structure and index based on the data processing results to optimize query performance. It is best to import the data and import the processed data into the database. This can be achieved through the batch import tool, API interface or scripting provided by the database.

[0053] This embodiment discloses a method for collecting and processing multi-source data of a command and control communication system device, which is characterized by comprising: collecting multi-source data of the command and control communication system device; pre-processing the multi-source data;

[0054] The preprocessed multi-source data is analyzed and processed according to preset rules to obtain multi-source data processing results; these multi-source data processing results are stored in a database and accessed according to user needs. The present invention utilizes a distributed architecture and streaming processing technology to improve data processing efficiency. The present invention enables real-time collection, cleaning, and analysis of thousands of data items per second, meeting the needs of high-concurrency scenarios. This invention achieves comprehensive, real-time, accurate collection and efficient processing of multi-source data, possessing broad application prospects and significant practical value.

[0055] Example 2

[0056] Based on the same inventive concept, the embodiment of the present disclosure also provides an electronic device. FIG4 is a schematic diagram of the structure of an electronic device according to the embodiment of the present disclosure. Figure 4 As shown, an embodiment of the present disclosure provides an electronic device comprising: one or more processors 101, a memory 102, and one or more I / O interfaces 103. The memory 102 stores one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement any of the optimization methods described in the above embodiments; the one or more I / O interfaces 103 are connected between the processor and the memory and are configured to implement information exchange between the processor and the memory.

[0057] Among them, the processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU); the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically such as SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), and flash memory (FLASH); the I / O interface (read-write interface) 103 is connected between the processor 101 and the memory 102, and can realize information interaction between the processor 101 and the memory 102, including but not limited to a data bus (Bus), etc.

[0058] In some embodiments, the processor 101 , the memory 102 , and the I / O interface 103 are connected to each other via a bus 104 , and further connected to other components of the computing device.

[0059] In some embodiments, the one or more processors 101 include a field programmable gate array.

[0060] According to an embodiment of the present disclosure, a computer-readable medium is further provided, wherein a computer program is stored on the computer-readable medium, wherein when the program is executed by a processor, the steps of any optimization method in the above-mentioned embodiment are implemented.

[0061] It should be understood that the specific order or hierarchy of steps in the disclosed processes is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy described.

[0062] In the foregoing detailed description, various features are grouped together in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that embodiments of the claimed subject matter require more features than are expressly recited in each claim. On the contrary, as reflected in the appended claims, the invention comprises less than all the features of any individual disclosed embodiment. The appended claims are therefore hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0063] Those skilled in the art will also appreciate that the various illustrative logic blocks, modules, circuits, and algorithmic steps described in conjunction with the embodiments herein may be implemented as electronic hardware, computer software, or a combination thereof. In order to clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described around their functions. Whether such functions are implemented as hardware or software depends on the specific application and the design constraints imposed on the entire system. A skilled person may implement the described functions in an adaptable manner for each specific application, but such implementation decisions should not be interpreted as departing from the scope of protection of this disclosure.

[0064] The steps of the methods or algorithms described in conjunction with the embodiments herein may be directly embodied as hardware, software modules executed by a processor, or a combination thereof. The software module may be located in a RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, register, hard disk, removable disk, CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium may also be an integral part of the processor. The processor and storage medium may be located in an ASIC. The ASIC may be located in a user terminal. Of course, the processor and storage medium may also be present in a user terminal as discrete components.

[0065] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or external to the processor. In the latter case, it is communicatively coupled to the processor via various means, which are well known in the art.

[0066] The foregoing description includes examples of one or more embodiments. Of course, it is not possible to describe all possible combinations of components or methods for the purposes of describing the above embodiments, but one of ordinary skill in the art will recognize that the various embodiments may be further combined and arranged. Therefore, the embodiments described herein are intended to encompass all such changes, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent the term "comprising" is used in the specification or claims, the term is intended to be encompassed in a manner similar to the term "including," as explained in terms of "including," used as a transitional word in the claims. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or."

Claims

1. A multi-source data collection and processing method for command and control communication system equipment, characterized in that: include: S100. Collect multi-source data of the command and control communication system equipment; S200. Preprocessing the multi-source data; S300. Analyze and process the preprocessed multi-source data according to preset rules to obtain multi-source data processing results; S400. The multi-source data processing results are stored in a database and called according to user needs.

2. A multi-source data collection and processing method for command and control communication system equipment as claimed in claim 1, characterized in that: In S100, the multi-source data of the command and control communication system equipment at least includes satellite data, command and control data, radio station data and heartbeat data.

3. A multi-source data collection and processing method for command and control communication system equipment as claimed in claim 1, characterized in that In S200, the multi-source data is preprocessed, specifically including: The acquired raw data is processed in a protocolized manner to ensure the uniformity and standardization of the data format; the longitude and latitude data in the device location information is processed in a unified format, including coordinate system conversion and data format normalization; the device information belonging to the device is processed in a unified format, involving the integration and standardization of device coding, type, and attribute information; the timestamp information of the data is processed in a unified format to ensure the consistency and comparability of the time series; the protocolized data is parsed to complete key information, such as the device, location information, and timestamp, and the parsed data is compared with the historical data to detect the consistency and integrity of the data and record data changes and abnormalities.

4. A multi-source data collection and processing method for command and control communication system equipment as claimed in claim 2, characterized in that ,In S300, the preprocessed multi-source data is analyzed and processed according to ,preset rules to obtain the multi-source data processing results; When the multi-source data is satellite data, the preset rules include: checking whether a data record of the device already exists in the pre-storage object through a device identifier or other unique identifier; if the data record of the device does not exist in the pre-storage object, storing the parameter value of the device according to the received data; if the data record of the device exists in the pre-storage object, further determining whether the pre-storage object contains specific parameter data required by the device; if the pre-storage object does not contain the parameter data corresponding to the device, additionally storing the parameter value of the device according to the received data; if the pre-storage object contains the parameter data corresponding to the device, proving that the data has reached a complete data processing cycle, organizing and extracting all relevant data of the device; parsing the satellite status data through the complete data, including at least satellite signal strength and location information.

5. A multi-source data collection and processing method for command and control communication system equipment as claimed in claim 2, characterized in that ,In S300, the preprocessed multi-source data is analyzed and processed according to ,preset rules to obtain the multi-source data processing results; When the multi-source data is accusation data, the preset rules include: parsing the collected instruction data to extract the instruction content and related parameters therein; Perform statistical analysis on the parsed instruction content and parameters, including at least frequency statistics of instruction types and range distribution of parameter values; parse the received routing data to extract router information and connection relationships; and analyze and count routing distribution based on the router information and connection relationships.

6. A multi-source data collection and processing method for command and control communication system equipment as claimed in claim 2, characterized in that ,In S300, the preprocessed multi-source data is analyzed and processed according to ,preset rules to obtain the multi-source data processing results; When the multi-source data is radio station data, the preset rules include: obtaining various parameter data of radio station equipment from the radio station equipment, including at least frequency range, transmission power, and modulation mode; Statistics on the usage of radio equipment in each frequency band and frequency band utilization information.

7. A multi-source data collection and processing method for command and control communication system equipment as claimed in claim 6, characterized in that ,In S300, the preprocessed multi-source data is analyzed and processed according to ,preset rules to obtain the multi-source data processing results; When the multi-source data is radio data, the preset rules also include: obtaining radio voice data from the radio device, determining whether the radio voice data is valid data, and if the radio voice data is valid data, determining whether there is a data record of the device in the pre-storage object, and if there is a data record of the device, appending the received voice data to the corresponding device data in the pre-storage object; if there is no data record of the device in the pre-storage object, creating a new data record and adding the received voice data to the record; parsing and converting the received voice data into a processable audio format or text format; unifying the voice data and device parameters, performing frequency band screening on the received voice data, and pushing the data to the same frequency band device for display and circulation.

8. A multi-source data collection and processing method for command and control communication system equipment as claimed in claim 7, characterized in that , parse and convert the received voice data into a processable audio format or text format, the specific method includes: extracting all the base64-encoded text content of the device from the received voice data, decoding the text content into PCM format audio data through a base64 decoding algorithm, using a temporary file system or memory cache to temporarily store the decoded PCM format audio data in a temporary file, converting the PCM format audio data into a WAV format file, temporarily storing the converted WAV format audio file in a temporary file system, uploading the WAV format audio file to the minio file server through a network communication protocol and a minio client, and obtaining the path address of the uploaded WAV file on the server through the API of the minio file server, which at least includes the bucket name and file path information.

9. A multi-source data collection and processing method for command and control communication system equipment as claimed in claim 2, characterized in that ,In S300, the preprocessed multi-source data is analyzed and processed according to ,preset rules to obtain the multi-source data processing results; When the multi-source data is heartbeat data, the preset rules include: Update device status; match and analyze the collected heartbeat data with the device status information in real time, determine the working status of the device through defined algorithms and logic, including at least normal, abnormal, maintenance required, etc., and update the device status database in real time; Statistics on the equipment status; use data mining technology to analyze and model the historical and real-time collected heartbeat data; predict the equipment operation status based on the equipment characteristics and working mode, and count the equipment status; Statistics are kept on the status of various types of equipment; an equipment classification model is established to classify the equipment according to its function, model, manufacturer and other characteristics, and statistics are kept on the status of each type of equipment, including at least the number of equipment in place and the number of abnormal states.

10. An electronic device comprising: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the multi-source data collection and processing method.

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