Communication equipment integrated monitoring method and system based on 5G network technology

Abstract

The invention relates to the field of integrated monitoring, and particularly discloses a communication equipment integrated monitoring method and system based on a 5G network technology, specifically, current instantaneous value data of equipment operation are monitored in real time by using a 5G transmission technology, and the method comprises the following steps: acquiring and processing the current instantaneous value data of equipment operation in a normal operation state; drawing a time-current reference curve, and establishing a current instantaneous value data reference model; the method comprises the following steps: performing real-time acquisition, filtering and error compensation on sine alternating current of equipment operation to obtain current instantaneous value real-time data during equipment operation, drawing a time-current real-time change curve, establishing a current instantaneous value real-time model, and comparing the current instantaneous value real-time model with a current instantaneous value data reference model; comparing and matching to obtain a current difference value, and judging whether the current difference value exceeds a preset threshold value or not; the invention aims to monitor the current abnormity at the first time and quickly respond under the abnormal condition of the equipment so as to prevent and shorten the equipment fault time and provide data support for subsequent abnormal reason analysis.

Description

Technical Field

[0001] The present invention relates to the field of integrated monitoring, and specifically to a method and system for integrated monitoring of communication equipment based on 5G network technology. Background Art

[0002] The stable state of current is an important indicator of the normal operation of the equipment. Any abnormal changes mean that there may be problems with the equipment. The current of the equipment needs to be monitored to ensure its normal operation, improve the safety of communication network operation, optimize energy use, and realize intelligent maintenance. The current equipment current monitoring method has the following defects: First, the measurement parameters are limited. It can only monitor the effective value of the AC current, and it is impossible to obtain the instantaneous value. It is difficult to capture the detailed characteristics of the current waveform distortion, harmonics, etc. It is also difficult to accurately record transient processes and impact currents. Second, the sampling frequency is low, the time resolution is insufficient, and the sampling accuracy is limited, which makes it difficult to meet high-precision requirements. Third, the bandwidth of traditional networks is limited, the network delay is large, and the real-time performance is poor.

[0003] In order to overcome the drawbacks of existing technologies, it is necessary to start with the collection and transmission of instantaneous values ​​of AC power, first establish a reference data model, process, analyze and compare massive data through data algorithms, and transmit it through the 5G communication network to achieve real-time monitoring of instantaneous values ​​of AC power. Summary of the invention

[0004] (1) Technical issues to be resolved The purpose of the present invention is to provide a communication equipment integrated monitoring method and system based on 5G network technology to solve the problems existing in abnormal AC power monitoring of equipment.

[0005] (2) Technical solution To achieve the above object, the present invention provides a communication equipment integrated monitoring method based on 5G network technology, the method comprising the following steps: S1, screen the instantaneous value of sinusoidal alternating current under normal operating conditions of the equipment. The instantaneous current value data is detected by the high-frequency current transformer installed on the equipment and uploaded to the cloud server through the 5G network; the instantaneous current value data contains electromagnetic harmonic interference in the alternating current and the measurement error of the current transformer. The cloud server removes the clutter and interference in the collected instantaneous current value through differential filtering, RC filtering, and Butterworth filtering to obtain the first signal data, and performs ratio difference compensation and angle difference compensation on the first signal data to compensate for the measurement error to obtain the second signal data; based on the processed second signal data, the high bandwidth and low latency characteristics of the 5G network are used to draw a time-current reference curve, establish a reference model for the instantaneous current value data, and send the model to the local device through the 5G network and set the current threshold; S2, obtaining the real-time data of the instantaneous value of the sinusoidal alternating current during the operation of the equipment, sampling the real-time data of the instantaneous value of the current based on the Nyquist sampling theorem, and transmitting the sampled data to the cloud server through the 5G network; the sampled data includes the electromagnetic harmonic interference in the alternating current and the measurement error of the current transformer; the third signal data is obtained by removing the clutter and interference in the collected instantaneous value signal of the current through differential filtering, RC filtering, and Butterworth filtering, and the ratio difference compensation and angle difference compensation are performed on the filtered data to compensate for the measurement error to obtain the fourth signal data; S3, transmit the processed fourth signal data to the local device through the 5G network and fit it into a time-current change curve to establish a real-time model of the instantaneous current value; through the low latency characteristics of the 5G network, compare and match the real-time model of the instantaneous current value with the instantaneous current value data reference model in real time to obtain the current difference, compare the current difference with the preset threshold value to determine whether it exceeds the preset threshold value, and feed back the judgment result to the monitoring center in real time through the 5G network so that corresponding measures can be taken in time.

[0006] Furthermore, the instantaneous value of the sinusoidal alternating current under normal operation of the screening device, the instantaneous current value data is detected by a high-frequency current transformer installed on the device, and uploaded to a cloud server through a 5G network; the instantaneous current value data includes electromagnetic harmonic interference in the alternating current and a measurement error of the current transformer, and the cloud server removes clutter and interference in the collected instantaneous current value through differential filtering, RC filtering, and Butterworth filtering to obtain the first signal data. The method includes: The instantaneous current expression of the sinusoidal alternating current supplied by the device is assumed to be: ; in, is the instantaneous current; is the maximum current, is the angular frequency (ω = 2πf), For time, is the maximum current of each harmonic, is the initial phase angle, is the phase angle of each harmonic, The value ranges from 2 to 7, which are the second to seventh harmonics; S11, yes Differential filtering is performed on the instantaneous current to obtain differential input filtering , the specific process is as follows: Input signal instantaneous current common-phase input , instantaneous current inverting input They are: ; ； in, It is a common mode interference signal; ; in, is the amplifier gain; S12, differential input filtering To perform RC filtering, first convert the differential output signal to the s domain: ; in, is the maximum current, is the angular frequency (ω = 2πf), For time, is the maximum current of each harmonic, is the initial phase angle, is the phase angle of each harmonic, The value ranges from 2 to 7, which are the second to seventh harmonics. is the complex frequency; The RC filter transfer function is: ; Where R is the resistance of the RC filter, and C is the capacitance of the capacitor; The s-domain expression after RC filtering is: ; S13, instantaneous current for RC input filtering Performing Butterworth filtering to obtain first signal data; The n-order expression of Butterworth filter transfer function is: ; in, is the cut-off angular frequency, in rad / s, and is related to the cut-off frequency The relationship is =2π , n is the filter order, is the complex frequency; The final s-domain expression of the first signal data is: .

[0007] Furthermore, the method of performing ratio difference compensation and angle difference compensation on the first signal data to compensate for the measurement error to obtain the second signal data; based on the processed second signal data, using the high bandwidth and low latency characteristics of the 5G network to draw a time-current reference curve, establish a current instantaneous value data reference model, and send the model to the local device through the 5G network and set the current threshold includes: S21, perform ratio difference compensation, the expression after ratio difference compensation is: ; in, is the ratio difference, and the calculation formula is: ; in, is the rated transformation ratio of the transformer, is the actual transformation ratio of the transformer, is the secondary measurement current, i.e. the measurement current at the output end of the transformer, is the actual primary current, i.e. the actual current passing through the circuit under test; S22, perform angle difference compensation to obtain second signal data: The formula for calculating the angular difference is: ; in, is the secondary current phase angle, the phase angle of the transformer output current relative to the reference voltage, is the primary current phase angle, that is, the phase angle of the original current relative to the reference voltage; The angular difference compensation formula is: ; in, is the angular difference compensation factor; ; In the formula, is the gain coefficient, is the RC filter coefficient, is the Butterworth filter coefficient, is the initial phase angle after angle difference compensation, is the RC harmonic phase angle, is the Butterworth filter harmonic phase angle, , is the comprehensive filter coefficient, is the maximum current of each harmonic, is the phase angle of each harmonic after angle difference compensation, The value is 2 to 7, which are the second to seventh harmonics. Based on the processed second signal data, the high bandwidth and low latency characteristics of the 5G network are used to draw a time-current reference curve, and a current instantaneous value data reference model is established. The model is sent to the local device through the 5G network and the current threshold is set. The current threshold is set according to the maximum value, 102% of the maximum value, and 105% of the maximum value in the current instantaneous value data reference model to set the first, second, and third thresholds of the current, respectively.

[0008] Furthermore, the method of obtaining the instantaneous real-time data of the sinusoidal alternating current during the operation of the device, sampling the instantaneous real-time data of the current based on the Nyquist sampling theorem, and transmitting the sampled data to the cloud server through the 5G network includes: Sampling frequency selection based on Nyquist sampling theorem, sampling frequency Must be greater than the highest frequency of the signal Considering the nth harmonic, ,therefore ,in The fundamental frequency is 50Hz; Discrete time series for: ; in, is the sampling period, ; The instantaneous current sampling data based on the Nyquist sampling theorem is transmitted to the cloud server via the 5G network.

[0009] Further, the sampled data includes electromagnetic harmonic interference in the alternating current and measurement errors of the current transformer; the method of removing clutter and interference in the collected instantaneous current value signal by differential filtering, RC filtering, and Butterworth filtering to obtain third signal data, and performing ratio difference compensation and angle difference compensation on the filtered data to compensate for the measurement error to obtain fourth signal data includes: After differential filtering: ; in, Represents the instantaneous value signal of the differential filtered current; The expression of RC low-pass filtering (z domain) is: ; in, ; Output after RC filtering: ; in, Indicates the instantaneous value signal of the current after RC filtering; The expression of Butterworth filtering (z domain) is: ; in, is the feedforward coefficient of the filter, is the feedback coefficient of the filter, is the order of the filter, Delay the signal by k sampling periods, k = 0 to N; The third signal data is obtained by Butterworth filtering output : ; After error compensation, the fourth signal data is obtained, and the final discrete compensation expression is: ; The theoretical result expression of the fourth signal data is: .

[0010] Furthermore, the processed fourth signal data is transmitted to the local device through the 5G network and fitted into a time-current change curve to establish a real-time model of the instantaneous current value; the real-time model of the instantaneous current value is compared and matched with the instantaneous current value data reference model in real time through the low latency characteristics of the 5G network to obtain a current difference, the current difference is compared with a preset threshold value, it is determined whether it exceeds the preset threshold value, and the judgment result is fed back to the monitoring center in real time through the 5G network so that corresponding measures can be taken in time. The method includes: Before the data processing unit of the monitoring center issues an alarm, it first determines the status of the device, and uses the currently collected time-current change curve to match and compare with the current instantaneous value data reference model in the local device to determine whether the device is in operation; when the device is in standby state, if the current has a large abnormal value, the monitoring center will immediately notify the person in charge of the device and cut off the power supply at the same time; when it is determined to be in operation, the data transmission module will then send a current data request to the data acquisition module for other devices in the same power supply group within the same unit time, and compare the current data of other devices after obtaining it; if other devices in the same power supply group also have the same current disturbance at the same time, it is judged to be a random situation, and the monitoring center can send a reminder notification to the person in charge of the device, otherwise it will be regarded as an abnormal situation; When the real-time model of the instantaneous current value obtained by the monitoring center is compared with the reference model of the instantaneous current value data, when the system recognizes that the deviation between the two exceeds the preset first threshold, the monitoring center issues an equipment abnormality warning notification; when the system recognizes that the deviation between the two exceeds the preset second threshold, the monitoring center issues an equipment maintenance alarm notification; when the system recognizes that the deviation between the two exceeds the preset third threshold, the equipment can be shut down to realize the power-off protection function, and the monitoring center issues an alarm to notify the relevant person in charge.

[0011] Based on the same inventive concept, on the other hand, the present invention also provides a communication equipment integrated monitoring system based on 5G network technology, the system comprising: The data preprocessing module is used to screen the instantaneous value of sinusoidal alternating current under normal operating conditions of the equipment. The instantaneous current value data is detected by the high-frequency current transformer installed on the equipment and uploaded to the cloud server through the 5G network. The instantaneous current value data contains electromagnetic harmonic interference in the alternating current and the measurement error of the current transformer. The cloud server removes the clutter and interference in the collected instantaneous current value through differential filtering, RC filtering, and Butterworth filtering to obtain the first signal data, and performs ratio difference compensation and angle difference compensation on the first signal data to compensate for the measurement error to obtain the second signal data. Based on the processed second signal data, the high bandwidth and low latency characteristics of the 5G network are used to draw a time-current reference curve, establish a reference model for the instantaneous current value data, and send the model to the local device through the 5G network and set the current threshold. A data processing module is used to obtain real-time data of the instantaneous value of sinusoidal alternating current during equipment operation, sample the real-time data of the instantaneous value of the current based on the Nyquist sampling theorem, and transmit the sampled data to the cloud server through the 5G network; the sampled data includes electromagnetic harmonic interference in the alternating current and measurement errors of the current transformer; the third signal data is obtained by removing clutter and interference in the collected instantaneous value signal of the current through differential filtering, RC filtering, and Butterworth filtering, and the filtered data is subjected to ratio difference compensation and angle difference compensation to compensate for the measurement error to obtain the fourth signal data; The data warning module is used to transmit the processed fourth signal data to the local device through the 5G network and fit it into a time-current change curve to establish a real-time model of the instantaneous current value; through the low latency characteristics of the 5G network, the real-time model of the instantaneous current value is compared and matched with the instantaneous current value data reference model in real time to obtain the current difference, and the current difference is compared with a preset threshold to determine whether it exceeds the preset threshold, and the judgment result is fed back to the monitoring center in real time through the 5G network so that corresponding measures can be taken in time.

[0012] (3) Beneficial effects Compared with the prior art, the present invention has the following beneficial effects: 1. The instantaneous value of current is collected through high-frequency mutual inductor, which can record the complete waveform characteristics and establish the current reference data model first.

[0013] 2. Advanced communication technology based on 5G network realizes real-time data processing, low-latency transmission, real-time data monitoring and alarm response functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a flowchart of a communication equipment integrated monitoring method based on 5G network technology according to Embodiment 1 of the present invention; Figure 2 This is a module block diagram of a communication equipment integrated monitoring system based on 5G network technology according to Example 2 of the present invention. DETAILED DESCRIPTION

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

[0016] Before giving examples, it is necessary to explain the application scenarios of the present invention. The present invention is applied to real-time collection and processing of instantaneous current value signals of communication equipment.

[0017] Example 1: Figure 1 As shown, this embodiment provides a communication equipment integrated monitoring method based on 5G network technology, and the method includes the following steps: S1, screen the instantaneous value of sinusoidal alternating current under normal operating conditions of the equipment. The instantaneous current value data is detected by the high-frequency current transformer installed on the equipment and uploaded to the cloud server through the 5G network; the instantaneous current value data contains electromagnetic harmonic interference in the alternating current and the measurement error of the current transformer. The cloud server removes the clutter and interference in the collected instantaneous current value through differential filtering, RC filtering, and Butterworth filtering to obtain the first signal data, and performs ratio difference compensation and angle difference compensation on the first signal data to compensate for the measurement error to obtain the second signal data; based on the processed second signal data, the high bandwidth and low latency characteristics of the 5G network are used to draw a time-current reference curve, establish a reference model for the instantaneous current value data, and send the model to the local device through the 5G network and set the current threshold; S2, obtaining the real-time data of the instantaneous value of the sinusoidal alternating current during the operation of the equipment, sampling the real-time data of the instantaneous value of the current based on the Nyquist sampling theorem, and transmitting the sampled data to the cloud server through the 5G network; the sampled data includes the electromagnetic harmonic interference in the alternating current and the measurement error of the current transformer; the third signal data is obtained by removing the clutter and interference in the collected instantaneous value signal of the current through differential filtering, RC filtering, and Butterworth filtering, and the ratio difference compensation and angle difference compensation are performed on the filtered data to compensate for the measurement error to obtain the fourth signal data; S3, transmit the processed fourth signal data to the local device through the 5G network and fit it into a time-current change curve to establish a real-time model of the instantaneous current value; through the low latency characteristics of the 5G network, compare and match the real-time model of the instantaneous current value with the instantaneous current value data reference model in real time to obtain the current difference, compare the current difference with the preset threshold value to determine whether it exceeds the preset threshold value, and feed back the judgment result to the monitoring center in real time through the 5G network so that corresponding measures can be taken in time.

[0018] Exemplarily, for a certain group of devices, device A transmits instantaneous current value data to a cloud server in real time via a 5G network; the cloud server first processes the current data of device A under normal operating conditions, removes electromagnetic harmonic interference and measurement errors through differential filtering, RC filtering, and Butterworth filtering, obtains first signal data, and further performs ratio difference compensation and angle difference compensation to generate second signal data; based on the second signal data, the cloud server draws a time-current reference curve, establishes a current instantaneous value data reference model, and sends the model to the local device via the 5G network, while setting the current threshold; subsequently, device A enters the operating state, and the high-frequency current transformer collects instantaneous current value data in real time, and uploads it to the cloud server via the 5G network; the cloud server performs the same filtering and compensation processing on the real-time data , obtain the fourth signal data, and transmit it back to the local device; the local device fits the time-current change curve according to the fourth signal data, establishes a real-time model of the instantaneous current value, compares and matches it with the reference model, and calculates the current difference; at a certain moment, the system detects that the current difference of device A exceeds the preset first threshold, and immediately feeds back the abnormal information to the monitoring center through the 5G network; the monitoring center responds quickly, notifies the person in charge of the equipment to check, and at the same time retrieves the real-time current data of devices B and C in the same power supply group through the 5G network for comparative analysis; after analysis, it is found that the current data of devices B and C do not show similar abnormalities, so it is judged that device A has an independent fault; the monitoring center immediately issues an equipment maintenance alarm notification, and requires the person in charge of the equipment to take immediate measures to avoid further expansion of the fault.

[0019] Furthermore, the instantaneous value of the sinusoidal alternating current under normal operation of the screening device, the instantaneous current value data is detected by a high-frequency current transformer installed on the device, and uploaded to a cloud server through a 5G network; the instantaneous current value data includes electromagnetic harmonic interference in the alternating current and a measurement error of the current transformer, and the cloud server removes clutter and interference in the collected instantaneous current value through differential filtering, RC filtering, and Butterworth filtering to obtain the first signal data. The method includes: The instantaneous current expression of the sinusoidal alternating current supplied by the device is assumed to be: ; in, is the instantaneous current; is the maximum current, is the angular frequency (ω = 2πf), For time, is the maximum current of each harmonic, is the initial phase angle, is the phase angle of each harmonic, The value ranges from 2 to 7, which are the second to seventh harmonics; S11, yes Differential filtering is performed on the instantaneous current to obtain differential input filtering , the specific process is as follows: Input signal instantaneous current common-phase input , instantaneous current inverting input They are: ; ； in, It is a common mode interference signal; ; in, is the amplifier gain; S12, differential input filtering To perform RC filtering, first convert the differential output signal to the s domain: ; in, is the maximum current, is the angular frequency (ω = 2πf), For time, is the maximum current of each harmonic, is the initial phase angle, is the phase angle of each harmonic, The value ranges from 2 to 7, which are the second to seventh harmonics. is the complex frequency; The RC filter transfer function is: ; Where R is the resistance of the RC filter, and C is the capacitance of the capacitor; The s-domain expression after RC filtering is: ; S13, instantaneous current for RC input filtering Performing Butterworth filtering to obtain first signal data; The n-order expression of Butterworth filter transfer function is: ; in, is the cut-off angular frequency, in rad / s, and is related to the cut-off frequency The relationship is =2π , n is the filter order, is the complex frequency; The final s-domain expression of the first signal data is: .

[0020] For example, assuming that the fundamental amplitude = 10 A, power frequency = 50Hz, angular frequency =314.16 rad / s, initial phase angle =0 rad, considering the influence of main harmonics, take four main harmonics k=2,3,5,7, and set the amplitude of harmonic components to 10%, 5%, 3%, 2% of the fundamental wave; The fundamental instantaneous current expression includes the complete expression of 2nd to 7th harmonics: ； Set the common mode interference signal to , amplifier gain G = 10, then the differential input filter It can be expressed as: ; Convert the differential output signal to the s-domain (sin(ωt) → ω / (s² + ω²)), then the differential input filter It can be expressed as: ; Assuming RC filtering R = 10kΩ, C = 1μF, the RC filter transfer function is: ; The s-domain expression after RC filtering is: ; The first line sets the parameters, the cutoff frequency , then the cut-off angular frequency 628.32 rad / s, select the 3rd order Butterworth filter (n=3), then the Butterworth filter transfer function expression is: ; According to the final s-domain expression ， get: ; The following is a verification of the effects of differential filtering, RC filtering, and Butterworth filtering processes one by one: Take the component values ​​at t=5ms: fundamental amplitude : 10 A, 2nd harmonic: 1.2246e-16, 3rd harmonic: -0.5, 5th harmonic: 0.3, 7th harmonic: -0.2, total: 9.6 A; and so on, take the time step dt: 0.0001s, the number of sampling points is set to 200, at t = 4.140ms, the maximum value of the original signal is obtained: 9.93446 A (this is the result of the superposition of the fundamental wave (10A) and each harmonic (1A, 0.5A, 0.3A, 0.2A)); When t=5ms, the common mode interference value is = -0.27201 A, non-inverting input 9.32798 A, inverting input is -9.87201 A, differential result: 19.20000 A, magnified result is 192.00000A; and so on, taking the time step dt: 0.0001s, the number of sampling points is set to 200, at t = 4.140ms, the maximum value of the signal after differential amplification is 198.68935 A; the original signal is processed by differential (×2) and processed by the amplifier (×10), so theoretically the maximum value should be 20 times of the original signal; The gain of the RC filter is calculated using the transfer function ; In the frequency domain, , , so for the frequency The gain is: ; Calculate the gain at 50Hz, RC time constant: 0.01 s, angular frequency ω = 2π 314.16 rad / s, (ωRC)²=(3.1416)²=9.86960, , gain amplitude calculation , phase ∠ = -arctan(3.1416)= -72.34°; The complete s-domain transfer function of the Butterworth filter is Converted to the expression of amplitude-frequency characteristic , Butterworth filter in = Gain at 50Hz =0.9923 (amplitude (dB): -0.07dB), for the 3rd order Butterworth filter, the phase angle calculation formula is: =-3arctan(0.5)=-79.70°, the final overall attenuation calculation =0.3010 (amplitude (dB): -10.43dB), total phase angle = -72.34°-79.70°=-152.04°; The attenuation calculation results of other frequencies are as follows: attenuation calculation of 100Hz: RC filter gain: 0.1572, Butterworth gain: 0.7071, total gain: 0.1111; attenuation calculation of 150Hz: RC filter gain: 0.1055, Butterworth gain: 0.2841, total gain: 0.0300; attenuation calculation of 250Hz: RC filter gain: 0.0635, Butterworth gain: 0.0639, total gain: 0.0041; attenuation calculation of 350Hz: RC filter gain: 0.0454, Butterworth gain: 0.0233, total gain: 0.0011; The calculation results show that the differential amplifier successfully amplifies the useful signal; the RC filter has a certain attenuation on the fundamental wave, which is within the acceptable range; the Butterworth filter has almost no attenuation on the fundamental wave; the entire filtering system has a very good attenuation effect on high-order harmonics, especially harmonics above the 5th order are basically completely filtered out.

[0021] Furthermore, the method of performing ratio difference compensation and angle difference compensation on the first signal data to compensate for the measurement error to obtain the second signal data; based on the processed second signal data, using the high bandwidth and low latency characteristics of the 5G network to draw a time-current reference curve, establish a current instantaneous value data reference model, and send the model to the local device through the 5G network and set the current threshold includes: S21, perform ratio difference compensation, the expression after ratio difference compensation is: ; in, is the ratio difference, and the calculation formula is: ; in, is the rated transformation ratio of the transformer, is the actual transformation ratio of the transformer, is the secondary measurement current, i.e. the measurement current at the output end of the transformer, is the actual primary current, i.e. the actual current passing through the circuit under test; S22, perform angle difference compensation to obtain second signal data: The formula for calculating the angular difference is: ; in, is the secondary current phase angle, the phase angle of the transformer output current relative to the reference voltage, is the primary current phase angle, that is, the phase angle of the original current relative to the reference voltage; The angular difference compensation formula is: ; in, is the angular difference compensation factor; ; In the formula, is the gain coefficient, is the RC filter coefficient, is the Butterworth filter coefficient, is the initial phase angle after angle difference compensation, is the RC harmonic phase angle, is the Butterworth filter harmonic phase angle, , is the comprehensive filter coefficient, is the maximum current of each harmonic, is the phase angle of each harmonic after angle difference compensation, The value is 2 to 7, which are the second to seventh harmonics. Based on the processed second signal data, the high bandwidth and low latency characteristics of the 5G network are used to draw a time-current reference curve, and a current instantaneous value data reference model is established. The model is sent to the local device through the 5G network and the current threshold is set. The current threshold is set according to the maximum value, 102% of the maximum value, and 105% of the maximum value in the current instantaneous value data reference model to set the first, second, and third thresholds of the current, respectively.

[0022] For example, the rated transformer ratio is set = 20(100A / 5A), assuming the primary current = 100A, secondary current = 4.95A, then the actual transformation ratio = 20.2020, calculated according to the formula = -1.0000%; ratio difference compensation coefficient = =0.99, the current after ratio difference compensation is = 4.9005 A; Assuming the secondary current phase angle = 20', primary current phase angle is 0', then the angular difference = 20'; (δ is the angle difference, which represents the delay angle of the secondary current phase of the current transformer relative to the primary current phase; it comes from the characteristics of the current transformer itself, mainly due to the magnetization characteristics of the core of the inductor, the influence of the excitation current, the load characteristics, and the eddy current loss of the body; Convert δ to angle difference: δ(rad) = × (π / 180) × (1 / 60) = 0.005818 rad; , according to the empirical fixed phase compensation value, add (1 degree) correction is used to compensate for other small phase deviations in the system. , taking 50Hz as an example, the overall attenuation calculation ; The overall system gain is: ; Error analysis of filtering and compensation: The amplitude error relative to the ideal signal is: ; The total phase delay phase error is: ; Amplitude error ≤ , phase error ≤ 0.006rad; the data show that filtering and error compensation successfully corrected the transformer ratio error, the compensated amplitude is closer to the actual value, and the ratio difference compensation provides a correction of about 0.8%; the angle difference compensation makes the signal phase more accurate, the phase correction amount is small, and the overall waveform has little effect, maintaining the time domain characteristics of the signal; According to this expression, a time-current variation curve is drawn based on the processed data, a current instantaneous value data reference model is established, and the current upper and lower thresholds are set.

[0023] Furthermore, the method of obtaining the instantaneous real-time data of the sinusoidal alternating current during the operation of the device, sampling the instantaneous real-time data of the current based on the Nyquist sampling theorem, and transmitting the sampled data to the cloud server through the 5G network includes: Sampling frequency selection based on Nyquist sampling theorem, sampling frequency Must be greater than the highest frequency of the signal Considering the nth harmonic, ,therefore ,in The fundamental frequency is 50Hz; Discrete time series for: ; in, is the sampling period, ; The instantaneous current sampling data based on the Nyquist sampling theorem is transmitted to the cloud server via the 5G network.

[0024] For example, assuming that the fundamental amplitude = 10 A, power frequency = 50Hz, angular frequency =314.16 rad / s, initial phase angle =0 rad, considering the influence of main harmonics, take k= 2, 3, 5, 7 as four main harmonics, and set the amplitude of harmonic components to 10%, 5%, 3%, 2% of the fundamental wave; The fundamental instantaneous current expression includes the complete expression of 2nd to 7th harmonics: ； The discrete time series is: .

[0025] Further, the sampled data includes electromagnetic harmonic interference in the alternating current and measurement errors of the current transformer; the method of removing clutter and interference in the collected instantaneous current value signal by differential filtering, RC filtering, and Butterworth filtering to obtain third signal data, and performing ratio difference compensation and angle difference compensation on the filtered data to compensate for the measurement error to obtain fourth signal data includes: After differential filtering: ; in, Represents the instantaneous value signal of the differential filtered current; The expression of RC low-pass filtering (z domain) is: ; in, ; Output after RC filtering: ; in, Indicates the instantaneous value signal of the current after RC filtering; The expression of Butterworth filtering (z domain) is: ; in, is the feedforward coefficient of the filter, is the feedback coefficient of the filter, is the order of the filter, Delay the signal by k sampling periods, k = 0 to N; The third signal data is obtained by Butterworth filtering output : ; After error compensation, the fourth signal data is obtained, and the final discrete compensation expression is: ; The theoretical result expression of the fourth signal data is: .

[0026] Exemplarily, the common mode interference signal is set to , amplifier gain G = 10, then the differential input filter It can be expressed as: ; Convert the differential output signal to the s-domain (sin(ωt) → ω / (s² + ω²)), then the differential input filter It can be expressed as: ; Assuming RC filtering R = 10kΩ, C = 1μF, the RC filter transfer function is: ; The s-domain expression after RC filtering is: ; The first line sets the parameters, the cutoff frequency , then the cut-off angular frequency =2π 628.32 rad / s, select the 3rd order Butterworth filter (n=3), then the Butterworth filter transfer function expression is: ; According to the final s-domain expression ， get: ; The following is a verification of the effects of differential filtering, RC filtering, and Butterworth filtering processes one by one: Take the component values ​​at t=5ms: fundamental amplitude : 10 A, 2nd harmonic: 1.2246e-16, 3rd harmonic: -0.5, 5th harmonic: 0.3, 7th harmonic: -0.2, total: 9.6 A; and so on, take the time step dt: 0.0001s, the number of sampling points is set to 200, at t = 4.140ms, the maximum value of the original signal is obtained: 9.93446 A (this is the result of the superposition of the fundamental wave (10A) and each harmonic (1A, 0.5A, 0.3A, 0.2A)); When t=5ms, the common mode interference value is = -0.27201 A, non-inverting input 9.32798 A, inverting input is -9.87201 A, differential result: 19.20000 A, magnified result is 192.00000A; and so on, taking the time step dt: 0.0001s, the number of sampling points is set to 200, at t = 4.140ms, the maximum value of the signal after differential amplification is 198.68935 A; the original signal is processed by differential (×2) and processed by the amplifier (×10), so theoretically the maximum value should be 20 times of the original signal; The gain of the RC filter is calculated using the transfer function ; In the frequency domain, , , so for the frequency The gain is: ; Calculate the gain at 50Hz, RC time constant: 0.01 s, angular frequency ω = 2π 314.16 rad / s, (ωRC)²=(3.1416)²=9.86960, , gain amplitude calculation , phase ∠ = -arctan(3.1416)= -72.34°; The complete s-domain transfer function of the Butterworth filter is Converted to the expression of amplitude-frequency characteristic , Butterworth filter in = Gain at 50Hz =0.9923 (amplitude (dB): -0.07dB), for the 3rd order Butterworth filter, the phase angle calculation formula is: =-3arctan(0.5)=-79.70°, the final overall attenuation calculation =0.3010 (amplitude (dB): -10.43dB), total phase angle = -72.34°-79.70°=-152.04°; The attenuation calculation results of other frequencies are as follows: attenuation calculation of 100Hz: RC filter gain: 0.1572, Butterworth gain: 0.7071, total gain: 0.1111; attenuation calculation of 150Hz: RC filter gain: 0.1055, Butterworth gain: 0.2841, total gain: 0.0300; attenuation calculation of 250Hz: RC filter gain: 0.0635, Butterworth gain: 0.0639, total gain: 0.0041; attenuation calculation of 350Hz: RC filter gain: 0.0454, Butterworth gain: 0.0233, total gain: 0.0011; The calculation results show that the differential amplifier successfully amplifies the useful signal; the RC filter has a certain attenuation on the fundamental wave, which is within the acceptable range; the Butterworth filter has almost no attenuation on the fundamental wave; the entire filtering system has a very good attenuation effect on high-order harmonics, especially the 5th harmonics and above are basically completely filtered out; Set the rated transformer ratio = 20(100A / 5A), assuming the primary current =100A, secondary current =4.95A, then the actual transformation ratio =20.2020, calculated according to the formula = -1.0000%; ratio difference compensation coefficient = =0.99, the current after ratio difference compensation is =4.9005A; Assuming the secondary current phase angle =20', primary current phase angle is 0', then the angular difference =20'; (δ is the angle difference, which represents the delay angle of the secondary current phase of the current transformer relative to the primary current phase; it comes from the characteristics of the current transformer itself, mainly due to the magnetization characteristics of the core of the inductor, the influence of the excitation current, the load characteristics, and the eddy current loss of the body; Convert δ to angle difference: δ(rad) = × (π / 180) × (1 / 60) = 0.005818 rad; , according to the empirical fixed phase compensation value, add (1 degree) correction is used to compensate for other small phase deviations in the system. ; The theoretical result expression of the fourth signal data is: .

[0027] Furthermore, the processed fourth signal data is transmitted to the local device through the 5G network and fitted into a time-current change curve to establish a real-time model of the instantaneous current value; the real-time model of the instantaneous current value is compared and matched with the instantaneous current value data reference model in real time through the low latency characteristics of the 5G network to obtain a current difference, the current difference is compared with a preset threshold value, it is determined whether it exceeds the preset threshold value, and the judgment result is fed back to the monitoring center in real time through the 5G network so that corresponding measures can be taken in time. The method includes: Before the data processing unit of the monitoring center issues an alarm, it first determines the status of the device, and uses the currently collected time-current change curve to match and compare with the current instantaneous value data reference model in the local device to determine whether the device is in operation; when the device is in standby state, if the current has a large abnormal value, the monitoring center will immediately notify the person in charge of the device and cut off the power supply at the same time; when it is determined to be in operation, the data transmission module will then send a current data request to the data acquisition module for other devices in the same power supply group within the same unit time, and compare the current data of other devices after obtaining it; if other devices in the same power supply group also have the same current disturbance at the same time, it is judged to be a random situation, and the monitoring center can send a reminder notification to the person in charge of the device, otherwise it will be regarded as an abnormal situation; When the real-time model of the instantaneous current value obtained by the monitoring center is compared with the reference model of the instantaneous current value data, when the system recognizes that the deviation between the two exceeds the preset first threshold, the monitoring center issues an equipment abnormality warning notification; when the system recognizes that the deviation between the two exceeds the preset second threshold, the monitoring center issues an equipment maintenance alarm notification; when the system recognizes that the deviation between the two exceeds the preset third threshold, the equipment can be shut down to realize the power-off protection function, and the monitoring center issues an alarm to notify the relevant person in charge.

[0028] For example, for a certain group of equipment, device A transmits instantaneous current value data to the monitoring center in real time through the 5G network; the data processing unit of the monitoring center first determines the operating status type of device A, and uses the currently collected time-current change curve to match and compare with the instantaneous current value data reference model in the local device to confirm that device A is in operation; then, the monitoring center sends a current data request to devices B and C in the same power supply group through the 5G network, and obtains the current data in the same time period for comparative analysis; after comparison, it is found that the deviation between the real-time model of the instantaneous current value of device A and the reference model exceeds the preset first threshold, but the current data of devices B and C do not show similar disturbances; the monitoring center immediately determines that device A is in an abnormal state, and issues an equipment abnormality warning notification to remind the equipment load The person in charge of the equipment A carried out an inspection; at the same time, the monitoring center continued to monitor the changes in the current data of device A; a few minutes later, the current deviation of device A further increased and exceeded the preset second threshold; the monitoring center immediately upgraded the alarm level, issued an equipment maintenance alarm notification, and required the person in charge of the equipment to take maintenance measures immediately; to avoid equipment damage, the monitoring center continued to monitor the operating status of device A; finally, when the current deviation of device A exceeded the third threshold, the monitoring center automatically triggered the power-off protection function, shut down device A, and sent an emergency alarm to the relevant person in charge through the 5G network to ensure that the problem was handled in a timely manner; this process fully demonstrated the advantages of low latency and high reliability of the 5G network, as well as the powerful capabilities of the equipment integrated monitoring system in equipment abnormality warning, fault diagnosis and rapid response, effectively ensuring the safe and stable operation of the equipment.

[0029] Embodiment 2: Based on the same inventive concept, Figure 2 As shown, this embodiment also provides a communication equipment integrated monitoring system based on 5G network technology, the system comprising: The data preprocessing module is used to screen the instantaneous value of sinusoidal alternating current under normal operating conditions of the equipment. The instantaneous current value data is detected by the high-frequency current transformer installed on the equipment and uploaded to the cloud server through the 5G network. The instantaneous current value data contains electromagnetic harmonic interference in the alternating current and the measurement error of the current transformer. The cloud server removes the clutter and interference in the collected instantaneous current value through differential filtering, RC filtering, and Butterworth filtering to obtain the first signal data, and performs ratio difference compensation and angle difference compensation on the first signal data to compensate for the measurement error to obtain the second signal data. Based on the processed second signal data, the high bandwidth and low latency characteristics of the 5G network are used to draw a time-current reference curve, establish a reference model for the instantaneous current value data, and send the model to the local device through the 5G network and set the current threshold. A data processing module is used to obtain real-time data of the instantaneous value of sinusoidal alternating current during equipment operation, sample the real-time data of the instantaneous value of the current based on the Nyquist sampling theorem, and transmit the sampled data to the cloud server through the 5G network; the sampled data includes electromagnetic harmonic interference in the alternating current and measurement errors of the current transformer; the third signal data is obtained by removing clutter and interference in the collected instantaneous value signal of the current through differential filtering, RC filtering, and Butterworth filtering, and the filtered data is subjected to ratio difference compensation and angle difference compensation to compensate for the measurement error to obtain the fourth signal data; The data warning module is used to transmit the processed fourth signal data to the local device through the 5G network and fit it into a time-current change curve to establish a real-time model of the instantaneous current value; through the low latency characteristics of the 5G network, the real-time model of the instantaneous current value is compared and matched with the instantaneous current value data reference model in real time to obtain the current difference, and the current difference is compared with a preset threshold to determine whether it exceeds the preset threshold, and the judgment result is fed back to the monitoring center in real time through the 5G network so that corresponding measures can be taken in time.

[0030] It should be noted that, regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0031] Finally, it should be noted that: Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A communication equipment integrated monitoring method based on 5G network technology, characterized in that: The method comprises: S1, screen the instantaneous value of sinusoidal alternating current under normal operating conditions of the equipment. The instantaneous current value data is detected by the high-frequency current transformer installed on the equipment and uploaded to the cloud server through the 5G network; the instantaneous current value data contains electromagnetic harmonic interference in the alternating current and the measurement error of the current transformer. The cloud server removes the clutter and interference in the collected instantaneous current value through differential filtering, RC filtering, and Butterworth filtering to obtain the first signal data, and performs ratio difference compensation and angle difference compensation on the first signal data to compensate for the measurement error to obtain the second signal data; based on the processed second signal data, the high bandwidth and low latency characteristics of the 5G network are used to draw a time-current reference curve, establish a reference model for the instantaneous current value data, and send the model to the local device through the 5G network and set the current threshold; S2, obtaining the real-time data of the instantaneous value of the sinusoidal alternating current during the operation of the equipment, sampling the real-time data of the instantaneous value of the current based on the Nyquist sampling theorem, and transmitting the sampled data to the cloud server through the 5G network; the sampled data includes the electromagnetic harmonic interference in the alternating current and the measurement error of the current transformer; the third signal data is obtained by removing the clutter and interference in the collected instantaneous value signal of the current through differential filtering, RC filtering, and Butterworth filtering, and the ratio difference compensation and angle difference compensation are performed on the filtered data to compensate for the measurement error to obtain the fourth signal data; S3, transmit the processed fourth signal data to the local device through the 5G network and fit it into a time-current change curve to establish a real-time model of the instantaneous current value; through the low latency characteristics of the 5G network, compare and match the real-time model of the instantaneous current value with the instantaneous current value data reference model in real time to obtain the current difference, compare the current difference with the preset threshold value to determine whether it exceeds the preset threshold value, and feed back the judgment result to the monitoring center in real time through the 5G network so that corresponding measures can be taken in time.

2. According to claim 1, a communication equipment integrated monitoring method based on 5G network technology is characterized in that: The instantaneous value of the sinusoidal alternating current under normal operation of the screening device, the instantaneous current value data is detected by a high-frequency current transformer installed on the device, and uploaded to the cloud server through the 5G network; the instantaneous current value data includes electromagnetic harmonic interference in the alternating current and the measurement error of the current transformer, and the cloud server removes clutter and interference in the collected instantaneous current value through differential filtering, RC filtering, and Butterworth filtering to obtain the first signal data. The method includes: The instantaneous current expression of the sinusoidal alternating current supplied by the device is assumed to be: ； in, is the instantaneous current; is the maximum current, is the angular frequency (ω = 2πf), For time, is the maximum current of each harmonic, is the initial phase angle, is the phase angle of each harmonic, The value ranges from 2 to 7, which are the second to seventh harmonics; S11, yes Differential filtering is performed on the instantaneous current to obtain differential input filtering , the specific process is as follows: Input signal instantaneous current common-phase input , instantaneous current inverting input They are: ； ； in, It is a common mode interference signal; ； in, is the amplifier gain; S12, differential input filtering To perform RC filtering, first convert the differential output signal to the s domain: ； in, is the maximum current, is the angular frequency (ω = 2πf), For time, is the maximum current of each harmonic, is the initial phase angle, is the phase angle of each harmonic, The value ranges from 2 to 7, which are the second to seventh harmonics. is the complex frequency; The RC filter transfer function is: ； Where R is the resistance of the RC filter, and C is the capacitance of the capacitor; The s-domain expression after RC filtering is: ； S13, instantaneous current for RC input filtering Performing Butterworth filtering to obtain first signal data; The n-order expression of Butterworth filter transfer function is: ； in, is the cut-off angular frequency, in rad / s, and is related to the cut-off frequency The relationship is =2π , n is the filter order, is the complex frequency; The final s-domain expression of the first signal data is: 。 3. A communication equipment integrated monitoring method based on 5G network technology according to claim 2, characterized in that: The method of performing ratio difference compensation and angle difference compensation on the first signal data to compensate for the measurement error to obtain the second signal data; based on the processed second signal data, using the high bandwidth and low latency characteristics of the 5G network to draw a time-current reference curve, establish a current instantaneous value data reference model, and send the model to the local device through the 5G network and set the current threshold includes: S21, perform ratio difference compensation, the expression after ratio difference compensation is: ； in, is the ratio difference, and the calculation formula is: ； in, is the rated transformation ratio of the transformer, is the actual transformation ratio of the transformer, is the secondary measurement current, i.e. the measurement current at the output end of the transformer, is the actual primary current, i.e. the actual current passing through the circuit under test; S22, perform angle difference compensation to obtain second signal data: The formula for calculating the angular difference is: ； in, is the secondary current phase angle, the phase angle of the transformer output current relative to the reference voltage, is the primary current phase angle, that is, the phase angle of the original current relative to the reference voltage; The angular difference compensation formula is: ； in, is the angular difference compensation factor; ； In the formula, is the gain coefficient, is the RC filter coefficient, is the Butterworth filter coefficient, is the initial phase angle after angle difference compensation, is the RC harmonic phase angle, is the Butterworth filter harmonic phase angle, , is the comprehensive filter coefficient, is the maximum current of each harmonic, is the phase angle of each harmonic after angle difference compensation, The value is 2 to 7, which are the second to seventh harmonics. Based on the processed second signal data, the high bandwidth and low latency characteristics of the 5G network are used to draw a time-current reference curve, and a current instantaneous value data reference model is established. The model is sent to the local device through the 5G network and the current threshold is set. The current threshold is set according to the maximum value, 102% of the maximum value, and 105% of the maximum value in the current instantaneous value data reference model to set the first, second, and third thresholds of the current, respectively.

4. A communication equipment integrated monitoring method based on 5G network technology according to claim 3, characterized in that: The method of obtaining the instantaneous real-time data of the sinusoidal alternating current during the operation of the device, sampling the instantaneous real-time data of the current based on the Nyquist sampling theorem, and transmitting the sampled data to the cloud server through the 5G network includes: Sampling frequency selection based on Nyquist sampling theorem, sampling frequency Must be greater than the highest frequency of the signal 2 times, taking into account the nth harmonic, ,therefore ,in The fundamental frequency is 50Hz; Discrete time series for: ； in, is the sampling period, ; The instantaneous current sampling data based on the Nyquist sampling theorem is transmitted to the cloud server via the 5G network.

5. A communication equipment integrated monitoring method based on 5G network technology according to claim 4, characterized in that: The sampled data includes electromagnetic harmonic interference in the alternating current and measurement errors of the current transformer; the method of removing clutter and interference in the collected instantaneous current value signal by differential filtering, RC filtering, and Butterworth filtering to obtain third signal data, and performing ratio difference compensation and angle difference compensation on the filtered data to compensate for the measurement error to obtain fourth signal data includes: After differential filtering: ； in, Represents the instantaneous value signal of the differential filtered current; The expression of RC low-pass filtering (z domain) is: ； in, ; Output after RC filtering: ； in, Indicates the instantaneous value signal of the current after RC filtering; The expression of Butterworth filtering (z domain) is: ； in, is the feedforward coefficient of the filter, is the feedback coefficient of the filter, is the order of the filter, Delay the signal by k sampling periods, k = 0 to N; The third signal data is obtained by Butterworth filtering output : ； After error compensation, the fourth signal data is obtained, and the final discrete compensation expression is: ； The theoretical result expression of the fourth signal data is: 。 6. A communication equipment integrated monitoring method based on 5G network technology according to claim 5, characterized in that: The method of transmitting the processed fourth signal data to the local device through the 5G network and fitting it into a time-current change curve to establish a real-time model of the instantaneous current value; comparing and matching the real-time model of the instantaneous current value with the instantaneous current value data reference model in real time through the low latency characteristics of the 5G network to obtain a current difference, comparing the current difference with a preset threshold value, judging whether it exceeds the preset threshold value, and feeding back the judgment result to the monitoring center in real time through the 5G network so as to take corresponding measures in time includes: Before the data processing unit of the monitoring center issues an alarm, it first determines the status of the device, and uses the currently collected time-current change curve to match and compare with the current instantaneous value data reference model in the local device to determine whether the device is in operation; when the device is in standby state, if the current has a large abnormal value, the monitoring center will immediately notify the person in charge of the device and cut off the power supply at the same time; when it is determined to be in operation, the data transmission module will then send a current data request to the data acquisition module for other devices in the same power supply group within the same unit time, and compare the current data of other devices after obtaining it; if other devices in the same power supply group also have the same current disturbance at the same time, it is judged to be a random situation, and the monitoring center can send a reminder notification to the person in charge of the device, otherwise it will be regarded as an abnormal situation; When the real-time model of the instantaneous current value obtained by the monitoring center is compared with the reference model of the instantaneous current value data, when the system recognizes that the deviation between the two exceeds the preset first threshold, the monitoring center issues an equipment abnormality warning notification; when the system recognizes that the deviation between the two exceeds the preset second threshold, the monitoring center issues an equipment maintenance alarm notification; when the system recognizes that the deviation between the two exceeds the preset third threshold, the equipment can be shut down to realize the power-off protection function, and the monitoring center issues an alarm to notify the relevant person in charge.

7. A communication equipment integrated monitoring system based on 5G network technology, characterized in that: The system comprises: The data preprocessing module is used to screen the instantaneous value of sinusoidal alternating current under normal operating conditions of the equipment. The instantaneous current value data is detected by the high-frequency current transformer installed on the equipment and uploaded to the cloud server through the 5G network. The instantaneous current value data contains electromagnetic harmonic interference in the alternating current and the measurement error of the current transformer. The cloud server removes the clutter and interference in the collected instantaneous current value through differential filtering, RC filtering, and Butterworth filtering to obtain the first signal data, and performs ratio difference compensation and angle difference compensation on the first signal data to compensate for the measurement error to obtain the second signal data. Based on the processed second signal data, the high bandwidth and low latency characteristics of the 5G network are used to draw a time-current reference curve, establish a reference model for the instantaneous current value data, and send the model to the local device through the 5G network and set the current threshold. A data processing module is used to obtain real-time data of the instantaneous value of sinusoidal alternating current during equipment operation, sample the real-time data of the instantaneous value of the current based on the Nyquist sampling theorem, and transmit the sampled data to the cloud server through the 5G network; the sampled data includes electromagnetic harmonic interference in the alternating current and measurement errors of the current transformer; the third signal data is obtained by removing clutter and interference in the collected instantaneous value signal of the current through differential filtering, RC filtering, and Butterworth filtering, and the filtered data is subjected to ratio difference compensation and angle difference compensation to compensate for the measurement error to obtain the fourth signal data; The data warning module is used to transmit the processed fourth signal data to the local device through the 5G network and fit it into a time-current change curve to establish a real-time model of the instantaneous current value; through the low latency characteristics of the 5G network, the real-time model of the instantaneous current value is compared and matched with the instantaneous current value data reference model in real time to obtain the current difference, and the current difference is compared with a preset threshold to determine whether it exceeds the preset threshold, and the judgment result is fed back to the monitoring center in real time through the 5G network so that corresponding measures can be taken in time.

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