A networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication

Abstract

The application discloses a networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication, which comprises a temperature data acquisition and processing module for acquiring and processing temperature data of circuit board cards, including a temperature data acquisition submodule, a temperature data processing submodule, a temperature data fusion submodule, a temperature field data generation submodule and a regional temperature display submodule; a data communication module for acquiring temperature field data of each circuit board card through a 5G device and transmitting the temperature field data to an abnormal alarm processing module; the abnormal alarm processing module is used for judging whether the temperature field data of each region is valid data, and judging whether the temperature field data of the current region is abnormal data according to an abnormal alarm algorithm, and transmitting the judgment result to a display module; and the display module is used for displaying the working conditions of each region. The application can simultaneously acquire temperature information of multiple circuit board cards, and realizes networked circuit board card temperature acquisition and abnormal alarm.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of circuit board card health management, and particularly relates to a networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication. BACKGROUND

[0002] In the field of rail transit, the circuit board card in the electronic and electrical equipment belongs to the core control module, and bears important functions such as vehicle state perception, vehicle control and vehicle communication, and the reliability thereof directly determines the safety of the vehicle. Under the environment of thermal cycle loading, the thermal expansion coefficients of the chip and the substrate material do not match, resulting in periodic stress and strain of the solder layer, thereby causing cracks in the connection layer, the cracks expand under continuous stress and strain, and finally lead to the failure of the solder layer connection, the signal cannot be transmitted, and the circuit board card fails. Therefore, it is of great significance to analyze the reliability of the circuit board card.

[0003] The running environment of the circuit board card usually has the characteristics of high-low temperature cycle and continuous high temperature, which greatly challenges the service life of the circuit board. Prognostics and health management (PHM) is a technology developed with the change of maintenance concept and the reform of maintenance mode. The basic idea is: through advanced state monitoring technology, obtain relevant information reflecting the state of components or systems, and use signal analysis, fault diagnosis, residual effective life prediction and other technologies to judge the state of components or systems. The thermal fatigue health management method for the circuit board card acquires the temperature of the board card in real time by establishing a temperature acquisition system, and then designs a related alarm algorithm to realize the maintenance strategy based on the temperature state.

[0004] At present, there is still a lack of reliability analysis and temperature acquisition equipment for circuit board cards in rail transit, and the following deficiencies mainly exist:

[0005] 1. There is still a lack of temperature acquisition equipment for circuit board cards in the current electric locomotive, and it does not have network communication capability.

[0006] 2. The circuit board card needs to be acquired in real time during the operation of the electric locomotive in order to manage its health, but there is still a lack of corresponding temperature detection technical means.

[0007] Therefore, there is an urgent need for a device that can acquire the temperature of a specific point in the circuit board card to monitor the running status of the circuit board in real time, and generate alarm information when an abnormal situation occurs, so as to improve the running safety of the electric locomotive. SUMMARY

[0008] The present application provides a networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication to overcome the above technical problems.

[0009] A networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication, comprising a temperature data acquisition and processing module, a data communication module, an abnormal alarm processing module and a display module,

[0010] The temperature data acquisition and processing module is used to obtain the number and location of circuit board cards in electronic and electrical equipment, divide the electronic and electrical equipment into N regions according to the number of circuit board cards, N being the number of circuit board cards, acquire and process the temperature data of the N regions, and the temperature data acquisition and processing module comprises a temperature data acquisition submodule, a temperature data processing submodule, a temperature data fusion submodule, a temperature field data generation submodule and a regional temperature display submodule,

[0011] The temperature data acquisition submodule is used to receive the analog signal sent by the thermocouple sensor in the zth region and convert the analog signal into a digital signal, and z represents a number in the N regions,

[0012] The temperature data processing submodule is used to receive the digital signal of the temperature data acquisition submodule, filter the digital signal, and obtain the temperature data after filtering,

[0013] The temperature data fusion submodule is used to obtain the temperature data after filtering and fuse the temperature data in the zth region,

[0014] The temperature field data generation submodule is used to calculate the temperature field data in the zth region according to the fused temperature data, and transmit the number of the region, the temperature field data and the time stamp to the data communication module through the gateway,

[0015] The regional temperature display submodule is used to obtain the temperature field data in the zth region and the equipment abnormal alarm information transmitted by the abnormal alarm module, and display,

[0016] The data communication module is used to obtain the number, temperature field data and time stamp of each region through a 5G device and transmit them to the abnormal alarm processing module;

[0017] The abnormal alarm processing module is used to determine whether the temperature field data of each region is valid data, if the temperature field data of the current region is invalid data, the equipment abnormal alarm information is transmitted to the regional temperature display submodule corresponding to the region for display, if the temperature field data of the current region is valid data, the abnormal alarm algorithm is used to determine whether the temperature field data of the current region is abnormal data, if the temperature field data of the current region is abnormal data, the number of the current region, the position of the circuit board card corresponding to the current region and the region abnormal state information are transmitted to the display module, if the temperature field data of the current region is normal data, the number of the current region, the position of the circuit board card corresponding to the current region and the region normal state information are transmitted to the display module.

[0018] The display module is used to display the working conditions of each region, including displaying normal state information and abnormal state information.

[0019] Preferably, the filtering processing of the digital signal comprises designing a band-pass filter, and a transfer function of the band-pass filter is formula (1), and the filtering processing is performed according to formula (1),

[0020]

[0021] Wherein, a0, a1, b are filter parameters selected offline, s is a transfer function independent variable, and represents a complex frequency.

[0022] Preferably, the temperature data in the zth region is fused according to formula (2), (3) and (4),

[0023] Δt(k)=Δt(k-1)+L(k)(E emf (k)+SΔt(k-1)) (2)

[0024] L(k)=P(k-1)S(1+SP(k-1)S) -1 (3)

[0025] P(k)=(1-L(k)S)P(k-1) (4)

[0026] Wherein, k represents a current sampling time, k-1 represents a last sampling time, L represents a least square gain, P represents an error covariance, E emf is a thermocouple output voltage, S is a material constant, and Δt is a measured temperature.

[0027] Preferably, the temperature field data in the zth region is calculated according to the fused temperature data,

[0028] Step one, obtaining the fused temperature data, and determining an unknown point (x0, y0) in the zth region which needs to be predicted temperature;

[0029] Step two, calculating the unknown weight coefficient w (i) according to formula (5)

[0030]

[0031] Wherein, (x, y) is the position of the thermocouple sensor, x is the horizontal axis coordinate of the thermocouple sensor, y is the vertical axis coordinate of the thermocouple sensor, (x i , y i ) represents the position of the i th thermocouple sensor, (x j , y jrepresents the position of the jth thermocouple sensor, j≤N A , t(x, y) represents the temperature data of the thermocouple sensor, (x0, y0) represents the position of the unknown point, μ is the Lagrange multiplier, Y((x i , y i ), (x j , y j )) represents the semi-variance of the ith thermocouple sensor (x i , y i ) and the jth thermocouple sensor (x j , y j ), N A represents the number of thermocouple sensors in the zth region, the unknown weight coefficient satisfies formula (6), Y((x i , y i ), (x j , y j )) is calculated according to formula (7), E represents expectation,

[0032]

[0033]

[0034] Step three, calculating the predicted temperature value of the unknown point according to formula (8)

[0035]

[0036] t(x i , y i ) represents the temperature of the ith thermocouple sensor, t(x j , y j ) represents the temperature of the jth thermocouple sensor, the position of the unknown point and the predicted temperature value are taken as the temperature field data in the zth region.

[0037] Preferably, the step of judging whether the temperature field data of the current region is abnormal data according to the abnormal alarm algorithm comprises: obtaining the temperature field data A of the current region, A={x, y, t(x, y)}, x is the horizontal axis coordinate, y is the vertical axis coordinate, t(x, y) represents the predicted temperature value of the current region, obtaining the standard temperature data set B, B={x, y, t s (x, y)}, t s (x, y) represents the expected temperature of the position (x, y), calculating the distance between the temperature field data A and the standard temperature data set B according to formula (9),

[0038]

[0039] wherein, N AX represents the maximum value of the horizontal coordinate of the thermocouple sensor in the current region, Y represents the maximum value of the vertical coordinate of the thermocouple sensor in the current region, when the distance exceeds the threshold value, the temperature field data of the current region is abnormal data, otherwise, the temperature field data of the current region is normal data.

[0040] Preferably, the judging whether the temperature field data of each region is valid data respectively comprises judging whether the temperature field data type of each region is float type, if not, the temperature field data of each region is invalid data, if yes, judging whether the temperature field data of each region is in the range of-40-100 degrees Celsius, if not, the temperature field data of each region is invalid data, if yes, the temperature field data of each region is valid data.

[0041] The application provides a networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication, which can effectively acquire the temperature in the operation process of electric locomotive, uniformly sends a large amount of temperature data through the mode of 5G communication, and deploys an abnormal alarm algorithm in a server, compared with running in a local embedded system, the running speed of the alarm algorithm is increased by more than 10 times, and the abnormal temperature can be identified within 10 ms. 5G communication can ensure that 10 circuit board cards and 20 thermocouple sensors of each circuit board card communicate with the server at a frequency of 1 time per second, which can meet the acquisition demand of the circuit board card in a carriage of electric locomotive. Through the setting of the data communication module and the abnormal alarm processing module, the temperature information of multiple circuit board cards can be simultaneously acquired, and the networked circuit board card temperature acquisition and abnormal alarm are realized. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0043] Figure 1 is a system structure diagram of the present application;

[0044] Figure 2 is a flow chart of the abnormal alarm processing of the present application;

[0045] Figure 3 is an implementation structure diagram of the networked circuit board card temperature acquisition and abnormal alarm system of the present application. DETAILED DESCRIPTION

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] Figure 1 This is a system structure diagram of the present invention, such as... Figure 1 As shown, the method in this embodiment may include:

[0048] A networked circuit board temperature acquisition and anomaly alarm system based on 5G communication includes a temperature data acquisition and processing module, a data communication module, an anomaly alarm processing module, and a display module.

[0049] The temperature data acquisition and processing module is used to obtain the number and location of circuit boards in electronic and electrical equipment. Based on the number of circuit boards, the electronic and electrical equipment is divided into N regions, where N is the number of circuit boards. Temperature data is collected from and processed in each of the N regions. The temperature data acquisition and processing module includes a temperature data acquisition submodule, a temperature data processing submodule, a temperature data fusion submodule, a temperature field data generation submodule, and a region temperature display submodule.

[0050] The temperature data acquisition submodule is used to receive the analog signal sent by the thermocouple sensor in the z-th region and convert the analog signal into a digital signal, where z represents the region number.

[0051] The temperature data processing submodule receives the digital signal from the temperature data acquisition submodule, filters the digital signal, and obtains the filtered temperature data. To address high-frequency disturbances in temperature acquisition, a suitable cutoff frequency is determined. A bandpass filter is designed using the Butterworth method to filter the digital signal. The transfer function of the bandpass filter is given by formula (1). Filtering is then performed according to formula (1).

[0052]

[0053] Where a0, a1, and b are all offline selected filter parameters, and s is the independent variable of the transfer function, representing the complex frequency.

[0054] The temperature data fusion sub-module is configured to obtain the filtered temperature data and fuse the temperature data in the zth region. The noise of the temperature collection signal is generally large, and the least square method is required to regress the measurement result. In order to reduce the calculation amount, the recursive least square method is adopted to correct the estimated value at the last sampling time by using the current temperature measurement value. The fusing the temperature data in the zth region includes fusing according to formulas (2), (3) and (4),

[0055] Δt(k)=Δt(k-1)+L(k)(E emf (k)+SΔt(k-1)) (2)

[0056] L(k)=P(k-1)S(1+SP(k-1)S) -1 (3)

[0057] P(k)=(1-L(k)S)P(k-1) (4)

[0058] Wherein, k represents the current sampling time, k-1 represents the last sampling time, L represents the least square gain, P represents the error covariance, E emf is the output voltage of the thermocouple, S is the material constant, and Δt is the measured temperature.

[0059] The temperature field data generation sub-module is configured to calculate the temperature field data in the zth region according to the fused temperature data, and transmit the number of the region, the temperature field data and the time stamp to the data communication module through the gateway. The calculating the temperature field data in the zth region according to the fused temperature data includes,

[0060] Step one, obtaining the fused temperature data, and determining the unknown point (x0, y0) in the zth region which needs to be predicted temperature;

[0061] Step two, calculating the unknown weight coefficient w (i) by formula (5)

[0062]

[0063] Wherein, (x, y) is the position of the thermocouple sensor, x is the horizontal axis coordinate of the thermocouple sensor, y is the vertical axis coordinate of the thermocouple sensor, (x i , y i ) represents the position of the ith thermocouple sensor, (x j , y j ) represents the position of the jth thermocouple sensor, j≤N A , t(x, y) represents the temperature data of the thermocouple sensor, (x0, y0) represents the position of the unknown point, μ is the Lagrange multiplier, γ((x i , yi ), (x j , y j )) represents the semi-variance of the i-th thermocouple sensor (x i , y i ) and the j-th thermocouple sensor (x j , y j ), N A represents the number of thermocouple sensors in the z-th region, the unknown weight coefficient satisfies formula (6), and γ((x i , y i ), (x j , y j )) is calculated according to formula (7), E represents expectation,

[0064]

[0065]

[0066] Step three, calculating the predicted temperature value of the unknown point according to formula (8)

[0067]

[0068] t(x i , y i ) represents the temperature of the i-th thermocouple sensor, t(x j , y j ) represents the temperature of the j-th thermocouple sensor, and the position of the unknown point and the predicted temperature value are taken as the temperature field data in the z-th region.

[0069] The regional temperature display submodule is used to acquire the temperature field data in the z-th region and the equipment abnormality alarm information transmitted by the abnormality alarm module, and display.

[0070] The data communication module is used to acquire the number, temperature field data and time stamp of each region through the 5G device, and transmit to the abnormality alarm processing module;

[0071] The abnormal alarm processing module is configured to judge whether the temperature field data of each region is valid data respectively, if the temperature field data of the current region is invalid data, the device abnormal alarm information is transmitted to the region temperature display submodule corresponding to the region to display, if the temperature field data of the current region is valid data, whether the temperature field data of the current region is abnormal data is judged according to the abnormal alarm algorithm, if the temperature field data of the current region is abnormal data, the number of the current region, the circuit board card position corresponding to the current region and the region abnormal state information are transmitted to the display module, if the temperature field data of the current region is normal data, the number of the current region, the circuit board card position corresponding to the current region and the region normal state information are transmitted to the display module, and the current data acquisition is completed, and the abnormal alarm processing process is as shown in Figure 2

[0072] The judgment of whether the temperature field data of each region is valid data respectively includes judging whether the temperature field data type of each region is floating point type, if not, it is invalid data, if yes, whether the temperature field data of each region is in the range of-40-100 degrees Celsius, if not, it is invalid data, if yes, it is valid data;

[0073] The judgment of whether the temperature field data of the current region is abnormal data according to the abnormal alarm algorithm includes obtaining the temperature field data A of the current region, A={x, y, t(x, y)}, x is the horizontal axis coordinate, y is the vertical axis coordinate, and t(x, y) represents the predicted temperature value of the current region, obtaining the standard temperature data set B according to the thermal stress modeling in reliability analysis, including step one, extracting the operation condition of the electric locomotive, for a specific operation route, the temperature of the locomotive in the running process is extracted, the temperature is collected with a sampling frequency of 10 minutes, and the running environment temperature change condition of the circuit board card in the operation route is obtained;

[0074] Step two, thermal stress simulation of the circuit board card. With the extracted condition as input, the temperature change of each thermocouple sensor of the circuit board card in the condition and the distribution with time are simulated to obtain the standard threshold value of the circuit board card temperature change under the corresponding condition. Obtain the standard temperature data set B, B={x, y, t s *x, y)}, t s (x, y) represents the expected temperature of position (x, y) in a specific condition, the MHD distance algorithm is used to compare the temperature field data with the temperature information in the standard temperature data set, and the Hausdorff similarity of the temperature field data and the standard temperature data set is calculated to perform abnormal alarm, that is, the distance between the temperature field data A and the standard temperature data set B is calculated according to formula (9),

[0075]

[0076] N is the number of the current region, and the distance between the temperature field data A and the standard temperature data set B is calculated according to formula (9).​A X represents the maximum value of the horizontal coordinates of the thermocouple sensors in the current region, Y represents the maximum value of the vertical coordinates of the thermocouple sensors in the current region, when the distance exceeds the threshold value, it indicates that the temperature field data of the current region is abnormal data, otherwise, it indicates that the temperature field data of the current region is normal data,

[0077] The display module is used to display the working conditions of each region, including displaying normal state information and abnormal state information.

[0078] The networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication described in the embodiment can be considered to include M sets of acquisition devices, 1 set of 5G modules, 1 set of servers and 1 set of display screens, and the structure is as shown in Figure 3 Each set of acquisition devices is equivalent to acquiring temperature through a temperature data acquisition and processing module on a circuit board card, and M is a positive integer greater than 0. The 5G module is equivalent to a data communication module, the abnormal alarm processing module is equivalent to a server, and the display module is equivalent to a display screen. The M sets of acquisition devices are connected with the 5G module through a gateway, and then connected with the server through the 5G module; the acquisition device is composed of Z thermocouple sensors, a control circuit, a gateway and a display screen, the control circuit 1.2 is realized by using an STM320 chip, Z is a positive integer greater than 0, a real-time embedded system runs on the control circuit, and processes such as temperature acquisition, filtering and temperature field generation are downloaded to the real-time embedded system through an upper computer. The thermocouple sensors are connected with the control circuit through I / O port electric welding. The communication interface of the control circuit is connected with the gateway through electric welding. The control circuit is connected with the display screen through a video output line. The gateway communicates with the 5G module through the MQTT communication protocol. The 5G module communicates with the server through the HTTP communication protocol. The server is connected with the display screen through a video output line.

[0079] In the actual application process of the networked circuit board card temperature acquisition and abnormal alarm system described in the embodiment, the user needs to deploy the thermocouple sensors on the circuit board card according to the reliability analysis requirements. The control circuit acquires temperature information after being turned on, and performs analog-to-digital conversion, band pass filtering and generates approximate temperature field data on the acquired temperature.

[0080] A real-time embedded system runs on the control circuit, and processes such as temperature acquisition, filtering and temperature field generation are downloaded to the real-time embedded system through an upper computer.

[0081] The control circuit is connected with the display screen to display real-time temperature information, and is connected with the 5G communication device through the gateway to transmit the temperature to the server. The server is connected with N acquisition devices through the 5G communication device, supports simultaneous acquisition of multiple devices, and realizes networked circuit board card temperature detection and alarm.

[0082] The system of the embodiment can be applied to the field of reliability analysis and circuit board card health management which needs to detect the temperature state of the circuit board card online, for example, can be applied to the field of circuit board card health management of electric locomotive. Taking the application to the circuit board card health management of electric locomotive as an example, first, the thermal stress simulation based on reliability analysis is performed on the circuit board card offline, and the weak link is determined, then the acquisition device is deployed in the weak link, and the collected temperature data is uploaded to the server through the 5G communication device, and the server completes the circuit board card state detection, and sends an alarm when the temperature is abnormal. The alarm information includes the abnormal time, the acquisition device number and the thermocouple sensor number. The alarm information and the temperature information are displayed on the display screen. The display screen is used to facilitate the maintenance personnel to view the temperature information on site and the dispatch personnel to view the temperature information remotely. The embodiment can process the data of multiple acquisition devices, support parallel information processing, and design a device management function on the server side, so that the working condition of the circuit board card can be known at any time.

[0083] Overall beneficial effects:

[0084] The application provides a networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication, which can effectively acquire the temperature in the running process of an electric locomotive, uniformly sends a large amount of temperature data through the 5G communication mode, and deploys an abnormal alarm algorithm in the server, compared with running in a local embedded system, the running speed of the alarm algorithm is increased by more than 10 times, and the abnormal temperature can be identified within 10 ms. 5G communication can ensure that 10 circuit board cards and 20 thermocouple sensors of each circuit board card communicate with the server at a frequency of 1 time per second, which can meet the acquisition requirements of the circuit board cards in a carriage of an electric locomotive. By setting the data communication module and the abnormal alarm processing module, temperature information of multiple circuit board cards can be acquired simultaneously, and networked circuit board card temperature acquisition and abnormal alarm can be realized.

[0085] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the application, and not to limit them; although the application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the application.

Claims

1. A networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication, characterized in that, The temperature data acquisition and processing module, the data communication module, the abnormal alarm processing module and the display module are included, The temperature data acquisition and processing module is used for acquiring the number and location of the circuit board card in the electronic and electrical equipment, dividing the electronic and electrical equipment into N regions according to the number of the circuit board card, N being the number of the circuit board card, collecting and processing the temperature data of the N regions, and including a temperature data acquisition submodule, a temperature data processing submodule, a temperature data fusion submodule, a temperature field data generation submodule and a regional temperature display submodule, The temperature data acquisition submodule is used for receiving the analog signal sent by the thermocouple sensor in the zth region and converting the analog signal into a digital signal, z representing a number in the N regions, The temperature data processing submodule is used for receiving the digital signal of the temperature data acquisition submodule, filtering the digital signal and acquiring the filtered temperature data, The temperature data fusion submodule is used for acquiring the filtered temperature data, fusing the temperature data in the zth region and calculating the temperature field data in the zth region according to the fused temperature data, Step one, acquire fused temperature data, determine the unknown point of the zth region that needs to predict temperature ; Step two, calculate the unknown weight coefficient by formula (5) , (5) wherein, is a position of a thermocouple sensor, x is a horizontal axis coordinate of a thermocouple sensor, y is a vertical axis coordinate of a thermocouple sensor, represents a position of the i-th thermocouple sensor, i represents a position of the i-th thermocouple sensor, represents a position of the i-th thermocouple sensor, j , represents temperature data of a thermocouple sensor, represents a position of an unknown point, is a Lagrange multiplier, represents the i-th thermocouple sensor and the j-th thermocouple sensor i , represents a semi-variance of the i-th thermocouple sensor j and the j-th thermocouple sensor , represents a number of thermocouple sensors in the z-th region, and the unknown weight coefficient satisfies the formula (6), and the is calculated according to the formula (7) , represents an expectation, (6) (7) Step three, calculate the predicted temperature value of the unknown point according to formula (8) , （8) representing the temperature of the zth i thermocouple sensor, representing the temperature of the zth j thermocouple sensor, the position of the unknown point, the predicted temperature value as the temperature field data within the zth region; The temperature field data generation submodule is used for calculating the temperature field data in the zth region according to the fused temperature data, transmitting the number of the region, the temperature field data and the time stamp to the data communication module through the gateway, The regional temperature display submodule is used for acquiring the temperature field data in the zth region and the equipment abnormal alarm information transmitted by the abnormal alarm module and displaying the information, The data communication module is used for acquiring the number, the temperature field data and the time stamp of each region through the 5G device and transmitting the information to the abnormal alarm processing module, The abnormal alarm processing module is configured to judge whether the temperature field data of each region is valid data respectively, if the temperature field data of the current region is invalid data, the device abnormal alarm information is transmitted to the region temperature display submodule corresponding to the region to display, if the temperature field data of the current region is valid data, whether the temperature field data of the current region is abnormal data is judged according to the abnormal alarm algorithm, if the temperature field data of the current region is abnormal data, the number of the current region, the circuit board card position corresponding to the current region and the region abnormal state information are transmitted to the display module, if the temperature field data of the current region is normal data, the number of the current region, the circuit board card position corresponding to the current region and the region normal state information are transmitted to the display module; the abnormal alarm algorithm includes: obtaining the temperature field data of the current region A , , is the horizontal axis coordinate, is the vertical axis coordinate, represents the predicted temperature value of the current region, the standard temperature data set is obtained B , , represents the expected temperature of the position , the distance between the temperature field data A and the standard temperature data set B is calculated according to formula (9). (9) wherein, represents the number of thermocouple sensors in the current region, X represents the maximum value of the abscissa of the thermocouple sensors in the current region, Y represents the maximum value of the ordinate of the thermocouple sensors in the current region, indicates that the temperature field data of the current region is abnormal data when the distance exceeds the threshold value, otherwise, indicates that the temperature field data of the current region is normal data; The display module is used for displaying the working conditions of each region, including displaying the normal state information and the abnormal state information. 2.The networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication according to claim 1, characterized in that, The filtering of the digital signal includes designing a band-pass filter, the transfer function of the band-pass filter being formula (1), and filtering according to formula (1), （1） wherein, are filter parameters selected offline, s is a transfer function argument representing complex frequency. 3.The networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication according to claim 1, characterized in that, The fusion of the temperature data in the zth region includes fusing according to formulas (2), (3) and (4), (2) (3) (4) wherein, represents the current sampling time, represents the previous sampling time, represents the least square gain, represents the error covariance, is the thermocouple output voltage, is the material constant, is the measured temperature.

4. The networked circuit board card temperature acquisition and abnormal alarm system based on 5G communication according to claim 1, characterized in that, The judgment of whether the temperature field data of each region is valid data includes judging whether the temperature field data type of each region is floating point type, if not, the data is invalid, if yes, judging whether the temperature field data of each region is within the range of-40-100 degrees Celsius, if not, the data is invalid, if yes, the data is valid.

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