Field radar equipment state data acquisition method

Abstract

The invention discloses a field radar equipment state data acquisition method, and relates to the field of field radar equipment state data acquisition, and the method comprises the steps: obtaining field radar equipment data acquired by multiple types of sensors disposed at the periphery of field radar equipment; simulating the field radar equipment data, and determining a two-dimensional matrix; the two-dimensional matrix comprises a vibration type data two-dimensional matrix and an electromagnetic field data two-dimensional matrix; performing feature extraction and data recovery on the two-dimensional matrix, and determining a recovered matrix; the recovered matrix comprises a vibration type data recovery matrix and an electromagnetic field data recovery matrix; determining an empirical threshold based on the historical empirical data of the sensitive part assembly in the field radar equipment; and processing the recovered matrix according to the historical experience data and the experience threshold, and determining the state data of the field radar equipment, thereby expanding the data acquisition types, and reducing the maintenance burden.

Description

Technical Field

[0001] The present application relates to the field of field radar equipment status data collection, and in particular to a field radar equipment status data collection method. Background Art

[0002] When collecting status data of radar equipment in the field, it is necessary to solve the problems of many types of data collected, large data volume, and data being easily interfered by field factors.

[0003] At present, the problem of collecting a large number of data types is mainly solved by collecting data from the internal interface of the equipment, configuring large-capacity storage devices on the hardware to solve the problem of large data volume, and adding anti-interference equipment to the hardware to prevent the data from being interfered by field factors. However, the above methods have the problem that the types of data collected are not comprehensive, and the large-capacity storage devices and anti-interference devices will bring additional maintenance burdens, increase the difficulty of supporting the using team, and ultimately affect the efficient completion of the task. Summary of the invention

[0004] The purpose of this application is to provide a method for collecting data on the status of field radar equipment to solve the problems of incomplete data collection types and heavy maintenance burden.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for collecting status data of a field radar equipment, comprising:

[0007] Acquire field radar equipment data collected by multiple types of sensors arranged on the periphery of the field radar equipment; the sensors include vibration sensors and electromagnetic sensors; the field radar equipment data include vibration data and electromagnetic field data;

[0008] The field radar equipment data is simulated to determine a two-dimensional matrix; the two-dimensional matrix includes a vibration data two-dimensional matrix and an electromagnetic field data two-dimensional matrix;

[0009] Performing feature extraction and data recovery on the two-dimensional matrix to determine a recovered matrix; the recovered matrix includes a vibration data recovery matrix and an electromagnetic field data recovery matrix;

[0010] Determine an empirical threshold based on historical empirical data of sensitive components in the field radar equipment; the empirical threshold includes a threshold value of the number of sensors and a threshold value of sensor data perception;

[0011] The restored matrix is ​​processed according to the historical experience data and the experience threshold to determine the status data of the field radar equipment; the status data is the field radar equipment data.

[0012] According to the specific embodiments provided by the present application, the present application discloses the following technical effects: the present application first sets up multiple types of sensors on the periphery of the field radar equipment, and completes the collection of equipment status data through software simulation, that is, the collection of field radar equipment data, and comprehensively collects field radar equipment data, thereby expanding the types of data collection and avoiding the difficulties of directly collecting internal data of the equipment, such as multiple interface forms, difficult hardware matching, and difficult debugging of software protocols; secondly, based on data feature extraction and data recovery methods, the simulated two-dimensional matrix is ​​restored, and only limited data features are stored in this process, solving the problem of large-capacity storage; finally, the restored matrix is ​​processed by setting an empirical threshold to eliminate interference factors, thereby avoiding the difficulties in hardware maintenance and guarantee caused by adding a large number of anti-interference equipment, and reducing the maintenance burden. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0014] Figure 1 This is a flow chart of a method for collecting status data of outdoor radar equipment provided in one embodiment of the present application. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0016] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0017] The present application embodiment provides a method for collecting state data of a field radar equipment. The method is executed by a computer device, and specifically can be executed by a computer device such as a terminal or a server alone, or can be executed by a terminal and a server together. In the present application embodiment, Figure 1 As shown, the method includes the following steps.

[0018] S1: Acquire field radar equipment data collected by multiple types of sensors deployed around the field radar equipment; the sensors include vibration sensors and electromagnetic sensors; the field radar equipment data include vibration data and electromagnetic field data.

[0019] S2: Simulate the field radar equipment data to determine a two-dimensional matrix; the two-dimensional matrix includes a vibration data two-dimensional matrix and an electromagnetic field data two-dimensional matrix.

[0020] S3: performing feature extraction and data recovery on the two-dimensional matrix to determine a recovered matrix; the recovered matrix includes a vibration data recovery matrix and an electromagnetic field data recovery matrix.

[0021] S4: Determine an empirical threshold based on historical empirical data of sensitive components in the field radar equipment; the empirical threshold includes a threshold value of the number of sensors and a threshold value of sensor data perception.

[0022] S5: Processing the restored matrix according to the historical experience data and the experience threshold to determine the status data of the field radar equipment; the status data is the field radar equipment data.

[0023] In an exemplary embodiment, S1 may be replaced by the following steps.

[0024] Steps for radar data collection:

[0025] Step 1: Deploy vibration data sensor x outside the radar. When there is vibration caused by enemy attack outside the radar (such as explosion of artillery shells, explosion of missiles, etc.), assuming that the vibration data obtained by the sensor is xd, the vibration information obtained by the internal structural parts of the radar through software simulation is xds.

[0026] Step 2: Deploy electric field and magnetic field sensors y outside the radar. When there is an electromagnetic attack caused by the enemy outside the radar (such as electromagnetic cannon explosion, etc.), assuming that the electromagnetic field data obtained by the electromagnetic sensor is yd, the electromagnetic field data obtained by the electromagnetic sensitive components inside the radar through software simulation is yds.

[0027] In an exemplary embodiment, the steps of extracting data features for storage and data recovery are as follows: the data xds and yds obtained by simulation are two very large two-dimensional matrices, wherein the rows of the matrices represent sensitive components inside the radar, and the columns represent data information of the sensitive components being subjected to vibration attacks and electromagnetic attacks. To simplify the expression, xds is represented by X and yds is represented by Y.

[0028] S2 can be replaced by the following steps.

[0029] S21: Simulate the vibration data, and set X = [X11, X12, ... X1n; X21, X22, ...

[0030] X2n;…;Xm1,Xm2,…Xmn] is used as a vibration data two-dimensional matrix; wherein X is a vibration data two-dimensional matrix; M is the number of components inside the field radar equipment that are sensitive to vibration attacks, M = 1, 2, 3..., m.

[0031] S22: Simulate the electromagnetic field data, and set Y=[Y11, Y12, ...Y1n; Y21, Y22, ...

[0032] Y2n;…;Yk1,Yk2,…Ykn] is used as a two-dimensional matrix of electromagnetic field data; K is the number of components inside the field radar equipment that are sensitive to electromagnetic attacks, K=1,2,3...,k; when each sensitive component is attacked by vibration, N is the response data of the vibration data; when each sensitive component is attacked by electromagnetic, N is the response data of the electromagnetic field data, N=1,2,3...,n.

[0033] In an exemplary embodiment, S3 may be replaced by the following steps.

[0034] S31: Arrange each row of the two-dimensional matrix from small to large, and calculate the average value, minimum value and maximum value of each row.

[0035] S32: Determine a restored matrix according to the average value, the minimum value, the maximum value of each row and the number of rows and columns of the two-dimensional matrix.

[0036] In an exemplary embodiment, after S31, the following steps are further included:

[0037] S33: storing the average value, minimum value and maximum value of each row in the internal storage space of the data storage device respectively, and transmitting the stored average value, minimum value and maximum value.

[0038] In an exemplary embodiment, S32 may be replaced by the following steps.

[0039] S321: Using formula T fg =(T max -T min ) / N+T i ×f / g determines the restored matrix; where T fg is the data of the fth row and gth column of the two-dimensional matrix; T max is the maximum value of the fth row and gth column; T minis the minimum value of the fth row and the gth column; when each sensitive component is attacked by vibration, N is the response data of the vibration data; when each sensitive component is attacked by electromagnetic, N is the response data of the electromagnetic field data; T i is the average value of the fth row and gth column.

[0040] Furthermore, the specific steps of extracting features are as follows:

[0041] The first step is to sort each row of the matrices X and Y from small to large, and calculate the average value X for each row. i , Y i , minimum value X min , Y min , the maximum value X max , Y max .

[0042] Step 2: In the data storage device, the average value, minimum value and maximum value obtained in the first step are stored in the internal storage space for data transfer.

[0043] Step 3: Restore the collected data matrix based on the average, minimum and maximum values ​​of each row, as well as the number of rows and columns of matrices X and Y.

[0044] The specific recovery method is: for the data in the fth row and gth column of the X matrix, use the subsequent formula to calculate, X fg =(X max -X min ) / N+X i ×f / g. Similarly, for the data in the fth row and gth column of the Y matrix, the following formula is used to calculate, Y fg =(Y max -Y min ) / N+Y i ×f / g; through the above steps, the restored matrix is ​​X c and Y c .

[0045] In an exemplary embodiment, S4 may be replaced by the following steps.

[0046] S41: Use historical experience data of sensitive components in the field radar equipment to construct a double threshold, set an experience threshold for the interference factor, and determine the experience threshold.

[0047] In an exemplary embodiment, S5 may be replaced by the following steps.

[0048] S51: Processing each column in the restored matrix according to the amount of historical experience data of sensitive components in the field radar equipment and the threshold value of the number of sensors.

[0049] S52: Process each row in the restored matrix according to the interference experience data of each sensitive component and the threshold value of sensor data perception.

[0050] S53: Determine the status data of the field radar equipment according to the processed recovery matrix.

[0051] In an exemplary embodiment, S51 may be replaced by the following steps.

[0052] S511: Using T' p =T p -zd / r processes each column in the restored matrix; wherein T' p is the response data after the restored matrix processing; T p is the response data of the restored matrix; zd is the number of historical experience data; r is the threshold value of the number of sensors.

[0053] In an exemplary embodiment, S52 may be replaced by the following steps.

[0054] S521: Using T' q =T q -zdh / s processes each row in the restored matrix; wherein T' q is the response data after the restored matrix processing; T q is the response data of the restored matrix; zdh is the interference experience data; s is the threshold value of sensor data perception.

[0055] Furthermore, in order to solve the problem that data is easily disturbed by factors in the wild, this application adopts a double threshold method using historical experience data to eliminate data errors.

[0056] For the matrix X, assuming that zd is the historical experience number of components that are sensitive to vibration attacks, then the matrix X can be processed as follows: subtract zd / 5 from each column of X, and then subtract zdh / 8 from each row of X, where 5 and 8 are the number of sensors and the threshold value of each sensor data perception, respectively. 5 and 8 are thresholds determined based on historical interference experience data. The status data is used for subsequent fault detection. Through statistical analysis, it is found that the best detection results can be obtained when 5 and 8 are selected.

[0057] Similarly, the matrix Y can be processed as follows: Assume that zd is the historical experience number of components that are sensitive to electromagnetic attacks, subtract zd / 7 from each column of Y, and then subtract zdh / 9 from each row. 7 and 9 are the number of sensors and the threshold value of each sensor data perception, respectively. 7 and 9 are the thresholds determined based on historical experience data. The state data is used for subsequent fault detection. Through statistical analysis, it is found that the best detection results can be obtained when 7 and 9 are selected.

[0058] Through the above processing, the status data of the field radar equipment can be obtained.

[0059] In an exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (I / O for short) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store field radar equipment status data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a field radar equipment status data acquisition method is implemented.

[0060] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the above method is implemented when the processor executes the computer program.

[0061] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which implements the above method when executed by a processor.

[0062] In an exemplary embodiment, a computer program product is provided, including a computer program, which implements the above method when executed by a processor.

[0063] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ReadOnlyMemory, ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (Magnetoresistive RandomAccess Memory, MRAM), ferroelectric random access memory (Ferroelectric RandomAccess Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory can include random access memory (RandomAccess Memory, RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0064] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0065] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0066] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0067] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for collecting state data of field radar equipment, characterized in that: The field radar equipment status data collection method comprises: Acquire field radar equipment data collected by multiple types of sensors arranged on the periphery of the field radar equipment; the sensors include vibration sensors and electromagnetic sensors; the field radar equipment data include vibration data and electromagnetic field data; The field radar equipment data is simulated to determine a two-dimensional matrix; the two-dimensional matrix includes a vibration data two-dimensional matrix and an electromagnetic field data two-dimensional matrix; Performing feature extraction and data recovery on the two-dimensional matrix to determine a recovered matrix; the recovered matrix includes a vibration data recovery matrix and an electromagnetic field data recovery matrix; Determine an empirical threshold based on historical empirical data of sensitive components in the field radar equipment; the empirical threshold includes a threshold value of the number of sensors and a threshold value of sensor data perception; The restored matrix is ​​processed according to the historical experience data and the experience threshold to determine the status data of the field radar equipment; the status data is the field radar equipment data.

2. The method for collecting field radar equipment status data according to claim 1, characterized in that: The field radar equipment data is simulated to determine a two-dimensional matrix, specifically including: The vibration data is simulated, and X=[X11, X12, ...X1n; X21, X22, ... X2n;…;Xm1,Xm2,…Xmn] as the vibration data two-dimensional matrix; where X is the vibration data two-dimensional matrix; M is the number of components in the field radar equipment that are sensitive to vibration attacks, M = 1, 2, 3..., m; The electromagnetic field data is simulated, and Y=[Y11, Y12, ...Y1n; Y21, Y22, ... Y2n;…;Yk1,Yk2,…Ykn] is used as a two-dimensional matrix of electromagnetic field data; K is the number of components inside the field radar equipment that are sensitive to electromagnetic attacks, K=1,2,3...,k; when each sensitive component is attacked by vibration, N is the response data of the vibration data; when each sensitive component is attacked by electromagnetic, N is the response data of the electromagnetic field data, N=1,2,3...,n.

3. The method for collecting field radar equipment status data according to claim 1, characterized in that: Performing feature extraction and data recovery on the two-dimensional matrix to determine a recovered matrix specifically includes: Arrange each row of the two-dimensional matrix from small to large, and calculate the average value, minimum value and maximum value of each row; The restored matrix is ​​determined according to the average value, the minimum value, the maximum value of each row and the number of rows and columns of the two-dimensional matrix.

4. The method for collecting field radar equipment status data according to claim 3, characterized in that: Arrange each row of the two-dimensional matrix from small to large, and calculate the average value, minimum value and maximum value of each row, and then also include: The average value, minimum value, and maximum value of each row are respectively stored in the internal storage space of the data storage device, and the stored average value, minimum value, and maximum value are transmitted.

5. The method for collecting field radar equipment status data according to claim 3, characterized in that: Determining the restored matrix according to the average value, minimum value, maximum value of each row and the number of rows and columns of the two-dimensional matrix specifically includes: Using the formula T fg =(T max -T min ) / N+T i ×f / g determines the restored matrix; where T fg is the data of the fth row and gth column of the two-dimensional matrix; T max is the maximum value of the fth row and gth column; T min is the minimum value of the fth row and the gth column; when each sensitive component is attacked by vibration, N is the response data of the vibration data; when each sensitive component is attacked by electromagnetic field, N is the response data of the electromagnetic field data; T i is the average value of the fth row and gth column.

6. The method for collecting field radar equipment status data according to claim 1, characterized in that: Based on the historical experience data of the sensitive components in the field radar equipment, the experience threshold is determined, specifically including: The double threshold is constructed by using the historical experience data of the sensitive components in the field radar equipment, and the experience threshold is set for the interference factor to determine the experience threshold.

7. The method for collecting field radar equipment status data according to claim 1, characterized in that: Processing the restored matrix according to the historical experience data and the experience threshold to determine the state data of the field radar equipment specifically includes: Processing each column in the restored matrix according to the amount of historical experience data of sensitive components in the field radar equipment and the threshold value of the number of sensors; Processing each row in the restored matrix according to the interference experience data of each sensitive component and the threshold value of sensor data perception; The state data of the field radar equipment is determined according to the processed recovery matrix.

8. The method for collecting state data of outdoor radar equipment according to claim 7, characterized in that: According to the amount of historical experience data of the sensitive components in the field radar equipment and the threshold value of the number of sensors, each column in the restored matrix is ​​processed, specifically including: Using T' p =T p -zd / r processes each column in the restored matrix; wherein T′ p is the response data after the restored matrix processing; T p is the response data of the restored matrix; zd is the number of historical experience data; r is the threshold value of the number of sensors.

9. The method for collecting field radar equipment status data according to claim 7, characterized in that: According to the interference experience data of each sensitive component and the threshold value of sensor data perception, each row in the restored matrix is ​​processed, specifically including: Using T' q =T q -zdh / s processes each row in the restored matrix; wherein T' q is the response data after the restored matrix processing; T q is the response data of the restored matrix; zdh is the interference experience data; s is the threshold value of sensor data perception.

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