A method, system and terminal for remote monitoring of surge protector operating status

Abstract

This application relates to the technical field of surge protectors, and discloses a method, system, and terminal for remote monitoring of the operating status of surge protectors. The method includes: a first processor acquiring electrical data of a first surge protector through a preset first mutual inductance sensor, calculating surge component data, calculating its change trend data according to a first cycle, and matching it with a trend template to generate a first status identifier; if a match is found, the identifier is "good"; otherwise, it is "abnormal." The first processor establishes a local wireless temporary connection with a second processor connected to a second mutual inductance sensor within a set distance according to a second cycle, and sends the first status identifier; the second processor stores the identifier and the communication address of the first processor. The second processor generates a second status identifier corresponding to the second surge protector, inserts the two status identifiers into its own device information, and wirelessly sends it to a remote backend. This method enables remote monitoring of the operating status of surge protectors, can promptly detect abnormalities, and effectively improves operation and maintenance efficiency.

Description

Technical Field

[0001] This application relates to the technical field of surge protectors, and in particular to a method, system and terminal for remote monitoring of the operating status of surge protectors. Background Technology

[0002] A surge protector for surveillance equipment is a device specifically designed to protect surveillance equipment from lightning surges. It ensures stable operation of the surveillance system when subjected to lightning strikes by limiting transient overvoltages and shunt surge currents. Its core working principle utilizes components such as varistors and gas discharge tubes to rapidly conduct electricity during a lightning strike, diverting the overvoltage to the ground and preventing damage to surveillance cameras, transmission lines, and backend storage devices due to instantaneous high voltage.

[0003] In industrial production environments, surge protectors face extremely harsh operating conditions. For example, in petrochemical and mining sites, there is not only strong electromagnetic interference and high temperature and humidity, but also frequent corrosive gases and dust. Lightning strikes are more frequent and intense in these areas, placing extremely high demands on the performance and stability of surge protectors. Furthermore, the complex electromagnetic environment and frequent equipment starts and stops in industrial settings generate significant surges and pulse interference, further exacerbating the workload of surge protectors.

[0004] Currently, most surge protectors operate in an offline mode. Maintenance personnel need to periodically visit the site to manually check indicator light status and measure parameters to assess the surge protector's condition. This method is not only resource-intensive but also suffers from significant timeliness issues. If the surge protector experiences performance degradation, component aging, or damage during the inspection interval, it may not be detected in a timely manner. Summary of the Invention

[0005] In order to remotely monitor the operating status of surge protectors, this application provides a method, system and terminal for remote monitoring of surge protector operating status.

[0006] Firstly, this application provides a method for remotely monitoring the operating status of a surge protector, employing the following technical solution:

[0007] A method for remotely monitoring the operating status of a surge protector includes the following steps:

[0008] The first processor acquires electrical data of the first surge protector based on a preset first mutual inductance sensor;

[0009] Surge component data are calculated based on the electrical data;

[0010] The change trend data of the surge component data is calculated based on the set first period;

[0011] The trend data is matched with a set trend template, and a first status identifier is generated based on the matching result; if the result is a match, the content of the first status identifier is good; otherwise, the content of the first status identifier is abnormal.

[0012] The first processor establishes a local wireless temporary connection with a second processor within a set distance range based on a set second period. The second processor is also connected to a second mutual inductance sensor, which collects data from a second surge protector. The first status identifier is sent to the second processor, and the second processor stores the first status identifier and the communication address of the first processor associated with the first status identifier.

[0013] The second processor generates a second status identifier corresponding to the second surge protector, inserts the second status identifier and the received first status identifier into the device information of the second processor, and wirelessly sends the device information to a remote backend; wherein, the device information includes the communication address of the second processor.

[0014] By adopting the above technical solution, it is not necessary to configure a separate communication module for each mutual inductor sensor and the remote backend. The relay transmission of surge protector status information is achieved by using a local wireless temporary connection, which greatly reduces hardware deployment and communication costs. The remote backend can quickly analyze the surge protector status indicators based on the equipment information, detect anomalies in a timely manner, break through the timeliness limitations of traditional manual inspection, realize full-cycle, intelligent remote monitoring, significantly improve operation and maintenance efficiency and accuracy, and provide reliable guarantee for the stable operation of monitoring systems in industrial scenarios.

[0015] Optionally, the method further includes the following steps:

[0016] The remote backend extracts a status identifier from the received device information, wherein the status identifier includes a first status identifier and a second status identifier.

[0017] If the status identifier contains abnormal content, an abnormal access instruction is sent to the second processor. The abnormal access instruction includes the data address of the abnormal status identifier in the device information.

[0018] In response to the abnormal access instruction, the second processor extracts the abnormal status identifier from the device information based on the data address and queries the communication address corresponding to the status identifier;

[0019] The communication address is sent to the remote backend, and the remote backend queries the corresponding surge protector information from the device database based on the communication address.

[0020] By adopting the above technical solution, if there is no abnormality, the system waits to obtain the next device information; if there is an abnormality, the system can obtain the communication address of the first processor through the second processor and then query the surge protector connected to the first processor, thereby improving the efficiency of device troubleshooting.

[0021] Optionally, the step of the second processor storing the first status identifier and the communication address of the first processor associated with the first status identifier further includes the following sub-steps:

[0022] The second processor obtains the signal strength of the connection communication link based on the local wireless temporary connection between the first processor and the second processor;

[0023] Associate the signal strength with the first state identifier;

[0024] The first status identifier is sorted according to the signal strength from largest to smallest, and then written into the device information.

[0025] By adopting the above technical solution, the signal strength is associated with the first status identifier and sorted by strength, so that the position of the status identifier in the device information directly reflects the distance between the surge protector and the processor and the quality of the communication link.

[0026] Optionally, the method further includes the following steps:

[0027] Based on a set first time period, calculate the position change range of the data address corresponding to the first state identifier of the first processor;

[0028] If the position change is greater than a preset comparison change range, the second processor sends the surge protector abnormality information and the communication address corresponding to the first status identifier to the remote backend.

[0029] By adopting the above technical solution, the fluctuation frequency and trend of the surge protector's status indicator can be quantitatively reflected by analyzing the location change amplitude of the data address within the first time period. When the location change amplitude exceeds the preset threshold, it indicates that the surge protector's operating status may be continuously abnormal or that there is continuous interference in the communication link. At this time, the abnormal device can be accurately located by communication address and an early warning message can be sent, enabling maintenance personnel to intervene and troubleshoot in a timely manner, avoiding equipment failure due to the accumulation of hidden faults.

[0030] Optionally, the step of calculating the surge component data based on the electrical data further includes the following sub-steps:

[0031] The electrical data is used to calculate the frequency domain data through a spectrum conversion algorithm;

[0032] Power frequency data and transient data are obtained by separating the frequency domain data;

[0033] Extract the pulse component data and oscillation component data from the transient data;

[0034] Surge component data is calculated based on the pulse component data and the oscillation component data.

[0035] By adopting the above technical solution, after converting electrical data to the frequency domain, the power frequency component and high-frequency transient interference can be accurately separated by a filter, effectively filtering out common electromagnetic noise in industrial settings and improving the signal-to-noise ratio of surge detection. Furthermore, by splitting the transient data into pulse and oscillation components, the energy distribution characteristics of different types of surges can be distinguished.

[0036] Optionally, the step of matching the trend data with the set trend template further includes the following sub-steps:

[0037] The graph of the calculated trend data is used as the change graph;

[0038] Calculate the similarity value between the changing graph and the trend template;

[0039] If the graphic similarity value is greater than the set similarity comparison value, the result is a match; otherwise, the result is a mismatch.

[0040] By adopting the above technical solution, the trend of surge component change is visualized, and the similarity value between the waveform and the preset template is calculated to determine the matching degree. Compared with the judgment of a single value, it reduces the one-sidedness and can capture the subtle changes of multi-dimensional features such as waveform slope, period, and amplitude.

[0041] Optionally, the method further includes the following steps:

[0042] The duration of the first cycle is adjusted according to the graphic similarity value. The larger the graphic similarity value, the shorter the duration of the first cycle; the smaller the graphic similarity value, the longer the duration of the first cycle.

[0043] By adopting the above technical solution, when the similarity value of the image is high, that is, when the lightning arrester is stable, the first cycle is automatically extended, the sampling frequency is reduced, and the processor's computing load and wireless transmission power consumption are reduced; conversely, the cycle is shortened, the real-time monitoring of abnormal states is strengthened, and a dynamic balance between computing resources and monitoring accuracy is achieved.

[0044] Optionally, the step of the second processor storing the first status identifier and the communication address of the first processor associated with the first status identifier further includes the following sub-steps:

[0045] The first processor obtains the communication strength of the connection communication link based on the local wireless temporary connection between the first processor and the second processor;

[0046] If the status indicator is good, then the communication element is calculated based on the set intensity comparison value and the communication intensity, and the matching element is calculated based on the graphic similarity value and the similarity comparison value.

[0047] The transmitting element is calculated based on the communication element and the matching element;

[0048] The transmission power is adjusted according to the corresponding transmission element; the larger the transmission element, the greater the transmission power; the smaller the transmission element, the smaller the transmission power.

[0049] By adopting the above technical solution, the transmission power is dynamically adjusted by combining the status of the surge protector with the quality of the communication link to calculate the transmission element: when the status is good and the signal is strong, the power is reduced to save energy; when the status is abnormal or the signal is weak, the power is increased to ensure transmission, thereby achieving a balance between energy efficiency and reliability, while reducing equipment loss and improving anti-interference capability.

[0050] Secondly, this application provides a remote monitoring system for the operating status of surge protectors, which adopts the following technical solution:

[0051] A surge protector operation status remote monitoring system includes a processor, wherein the processor executes the steps of the surge protector operation status remote monitoring method as described in any one of the above claims.

[0052] Thirdly, this application provides a storage medium, which adopts the following technical solution:

[0053] A storage medium storing a program, wherein the program, when executed by a processor, implements the steps of the remote monitoring method for the operating status of a surge protector as described in any one of the preceding claims.

[0054] In summary, this application includes at least one of the following beneficial technical effects: Electrical data is collected through mutual inductance sensors, processed by spectrum analysis and trend matching to generate status identifiers, and multi-processor data relay transmission is achieved to a remote backend using a local wireless temporary connection. This significantly reduces hardware and communication costs; overcomes the time limitations of manual inspections and improves the intelligence level of remote monitoring; achieves accurate fault location and early warning through mechanisms such as abnormal access commands and signal strength sorting; enhances anti-interference capabilities and resource scheduling efficiency based on graphic similarity analysis and dynamic periodic adjustment; and intelligently adjusts transmission power based on status and communication quality to balance energy efficiency and transmission reliability. Attached Figure Description

[0055] Figure 1 This is a step-by-step diagram of a method for remotely monitoring the operating status of a surge protector.

[0056] Figure 2This is a diagram showing the steps for locating abnormal status indicators and querying surge protector information. Detailed Implementation

[0057] The embodiments of this application are described in detail below, and examples of the embodiments are shown in the accompanying drawings.

[0058] In the description of this specification, the references to "certain embodiments," "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples" refer to specific features, structures, materials, or characteristics described in connection with the described embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0059] This application discloses a method for remotely monitoring the operating status of a surge protector, referring to... Figure 1 It includes the following steps:

[0060] The first processor acquires electrical data of the first surge protector based on a preset first mutual inductance sensor; the electrical data includes electrical data such as current and voltage.

[0061] The surge component data is calculated based on electrical data. The specific steps are as follows: Frequency domain data is obtained by using spectral conversion algorithms such as Fast Fourier Transform (FFT) from the electrical data. A bandpass filter is used to separate the 50Hz power frequency component and the transient surge signal data above 100kHz from the frequency domain data. Pulse and oscillation components are extracted from the transient data. The pulse component data is a nanosecond-level pulse component, corresponding to direct lightning strike energy; the oscillation component data is a microsecond-level oscillation component, corresponding to induced lightning energy. The surge component data is calculated from the pulse and oscillation component data by weighted averaging after de-normalization.

[0062] The surge component data is calculated based on the first set period. For example, if the first period is 10 minutes, the surge component data is processed by a sliding window, and the slope, variance and other statistics are calculated to generate a trend curve.

[0063] The surge trend data is matched with a predefined trend template, and a first state identifier is generated based on the matching result. The predefined trend template is generated using machine learning algorithms trained on massive historical data, covering various state trends of the surge arrester under normal operating conditions, including but not limited to surge response characteristics under different environmental temperatures, humidity levels, and electromagnetic interference intensities. If the graphical similarity value between the surge trend data and the trend template is greater than a predefined similarity comparison value, such as 85%, it indicates that the current surge arrester operation conforms to the normal mode, and the content of the first state identifier is judged as good; conversely, if the similarity standard is not met, it is judged as abnormal. Visualizing the surge component change trend and calculating its graphical similarity value with the preset template to determine the matching degree reduces the bias compared to judging by a single numerical value.

[0064] The first processor, based on a set second period (e.g., 30 seconds), actively scans and establishes a local wireless temporary connection with the second processor within a preset distance range (e.g., 100 meters) using a Low Power Wide Area Network (LPWAN) protocol (e.g., ZigBee, LoRa, or Bluetooth Mesh). This connection uses a Time Division Multiple Access (TDMA) mechanism to allocate channel resources, avoiding contention among multiple devices. The second processor is synchronously connected to a second mutual inductance sensor to collect electrical data from the second surge protector in real time. During the data transmission phase, the first processor encapsulates a generated first status identifier and its own communication address into a data frame. The first status identifier includes a "good" / "abnormal" judgment and detailed characteristic parameters; the communication address is a unique identifier composed of a 48-bit MAC address and a 16-bit device code. After receiving the data, the second processor uses a Distributed Hash Table (DHT) algorithm to map and store the first status identifier and communication address in local flash memory, and generates a unique index key for each data entry, the index key being based on a timestamp and CRC checksum.

[0065] The second processor generates a second status identifier corresponding to the second surge protector. It inserts the second status identifier and the received first status identifier into its device information and wirelessly transmits the device information to a remote backend. The device information includes the communication address of the second processor. After receiving and storing the first status identifier, the second processor synchronously assesses the status of the connected second surge protector. It collects electrical data through a second mutual inductance sensor and, following the same surge feature extraction, trend analysis, and template matching process as the first processor, generates the second status identifier corresponding to the second surge protector. This identifier includes a status description (good / abnormal), a similarity score, an anomaly type code (e.g., aging, performance degradation), and a feature parameter vector. During the data encapsulation stage, the second processor integrates the second status identifier with multiple stored sets of first status identifiers into a device information packet.

[0066] By leveraging a localized wireless temporary network to relay surge protector status data, the need for separate long-distance communication modules for each sensor is eliminated, reducing hardware costs and communication power consumption. It can analyze aggregated device information in real time and quickly identify abnormal status indicators, significantly improving response speed compared to manual inspections. This not only effectively solves the pain points of poor timeliness and high misjudgment rates in traditional maintenance, but also greatly improves maintenance efficiency through precise status warnings and fault location.

[0067] Reference Figure 2 The method also includes the following steps:

[0068] The remote backend extracts the status identifier from the received device information, which includes a first status identifier and a second status identifier.

[0069] The contents of the status identifier are analyzed. If there is abnormal content in the status identifier, an abnormal access instruction is sent to the second processor. The abnormal access instruction includes the data address of the abnormal status identifier in the device information.

[0070] After receiving the abnormal access instruction, the second processor quickly extracts the abnormal status identifier based on the data address and queries the corresponding communication address of the first processor.

[0071] The communication address is sent to the remote backend, which then queries the corresponding surge protector information from the device database based on the communication address, including the installation location, model specifications, and historical operating data.

[0072] If the analysis results show that all status indicators are normal, the remote backend continues to wait to receive the next set of device information. If an anomaly is found, the communication address of the first processor can be obtained through the second processor, and then the surge protector connected to the first processor can be found, improving the efficiency of device troubleshooting.

[0073] The step of the second processor storing the first status identifier and the communication address of the first processor associated with the first status identifier further includes the following sub-steps:

[0074] The second processor obtains the signal strength of the connection communication link based on the local wireless temporary connection between the first and second processors. It acquires the link signal strength in real time through a Received Signal Strength Indicator (RSSI) module at a sampling frequency of 10 times per second to dynamically track signal fluctuations.

[0075] The signal strength is associated with the first status identifier. A key-value storage structure is used to bind the first status identifier, signal strength, and communication address into a triple: {status identifier: {signal strength: XX, communication address: XXX}}. For example, when a "good" status identifier is received, its RSSI value of 75 is recorded synchronously, corresponding to the communication address MAC001-007, forming a traceable associated data chain.

[0076] The first status identifier is sorted according to signal strength from largest to smallest and written into the device information. The second processor maintains a real-time updated status identifier queue, sorted by signal strength from largest to smallest. When new data is received, the system executes the following logic:

[0077] If the strength of the new signal is greater than or equal to the minimum strength value in the queue, insert it at the corresponding position and discard the last data (keep the queue length ≤ 50).

[0078] If the signal strengths are the same, they are sorted according to the principle of prioritizing the most recent timestamp.

[0079] The sorted status identifiers are written into the device information packet in sequence. For example, the identifier for signal strength 85 is placed at the first position, and the identifier for signal strength 60 is placed at the tenth position. This allows the remote backend to directly determine the physical distance between the device and the processor (usually, every 10dB attenuation corresponds to an increase of about 30 meters in distance) and the link quality through the data location.

[0080] By combining signal strength with status indicators, the equipment information packet not only contains the operating status of the surge protector, but also carries real-time quality data of the communication link, thereby improving the efficiency of troubleshooting equipment communication faults.

[0081] The method also includes the following steps:

[0082] The second processor continuously monitors the data address changes of the first status identifier in the device information packet within a set first time period (e.g., 1 hour). It quickly locates the data address of each status identifier using a hash index and calculates the address offset of the same identifier between adjacent updated data; that is, the position change range of the data address of the first status identifier corresponding to the first processor, expressed as the number of bytes offset. To eliminate the impact of data volume fluctuations, a normalized position change range formula is used: Change Range = Actual Offset / Total Length of Device Information Packet × 100%.

[0083] If the position change exceeds the preset comparison change range, such as 15%, a red warning is triggered, indicating that the operation status of the surge protector has deteriorated significantly or the communication link is seriously abnormal. The second processor sends the surge protector abnormality information and the communication address corresponding to the first status identifier to the remote backend.

[0084] By analyzing the location changes of the status identifier data address within the first time period, the frequency and trend of surge protector status fluctuations are quantitatively reflected. When the change exceeds the threshold, the abnormal device is accurately located by combining the communication address, distinguishing between operational faults and communication interference, providing timely warnings for maintenance, and preventing the deterioration of hidden faults that could lead to equipment failure.

[0085] The method also includes the following steps:

[0086] The duration of the first cycle is adjusted according to the similarity value of the graphics. The larger the similarity value, the shorter the duration of the first cycle; the smaller the similarity value, the longer the duration of the first cycle.

[0087] The duration of the first cycle = minimum sampling cycle + (maximum sampling cycle - minimum sampling cycle) × (1 - graphic similarity value) / (1 - reference similarity value); where the minimum sampling cycle is, for example, 5 minutes; the maximum sampling cycle is, for example, 30 minutes; the reference similarity value is, for example, 0.8; and the current graphic similarity value ranges from 0 to 1. When the graphic similarity value is less than 0.6, the minimum sampling cycle is forcibly triggered; when the graphic similarity value is greater than 0.9 for 3 consecutive cycles, an ultra-long sampling cycle is enabled, for example, 60 minutes.

[0088] When the similarity value of the graph is high, it indicates that the operation of the surge protector is becoming stable. The system automatically extends the first cycle to reduce the sampling frequency, thereby reducing the processor's computational burden and the energy consumption of wireless data transmission. If the similarity value of the graph is low, it means that the surge protector's status may be fluctuating abnormally. At this time, the system shortens the sampling cycle and strengthens the frequency of real-time monitoring of the equipment status.

[0089] The step of the second processor storing the first status identifier and the communication address of the first processor associated with the first status identifier further includes the following sub-steps:

[0090] The first processor obtains the communication strength of the connection link based on the local wireless temporary connection between the first processor and the second processor. The first processor continuously collects the wireless link communication strength with the second processor at 100ms intervals using a Received Signal Strength Indicator (RSSI) module. After median filtering to remove transient interference, the data is converted into a standardized strength value of 0-100 (e.g., -90dBm corresponds to 20, -60dBm corresponds to 80). Simultaneously, auxiliary parameters such as link signal-to-noise ratio (SNR) and bit error rate (BER) are recorded to form a multi-dimensional communication quality assessment index.

[0091] If the status indicator indicates "good," then the communication element is calculated based on the set intensity comparison value and communication intensity, and the matching element is calculated based on the graphic similarity value and similarity comparison value. Communication element = Communication intensity / Intensity comparison value; Matching element = Graphic similarity value / Similarity comparison value.

[0092] The transmitting element is calculated based on the communication element and the matching element. Using the weighted summation formula: Transmitting element = Communication element × b1 + Matching element × b2, the two dimensions are integrated to form a comprehensive transmitting element index. b1 and b2 are the weights corresponding to the communication element and the matching element, respectively, both with a weight of 0.5.

[0093] The transmission power is adjusted according to the corresponding transmission element; the larger the transmission element, the greater the transmission power; the smaller the transmission element, the lower the transmission power. The transmission element is mapped to multi-level transmission power adjustment.

[0094] Transmitting element ≥ 2.0; Transmitting power (level): 100mW (high); Signal dead zone or equipment malfunction;

[0095] 1.0 ≤ transmitting element < 2.0; transmitting power (level): 50mW (medium-high); weak signal under normal conditions;

[0096] -0.5≤transmitting element<1.0; Transmitting power (level): 20mW (medium); Medium signal under normal conditions;

[0097] -1.5≤Emitting element<-0.5; Transmitting power (level): 10mW (medium-low); Strong signal stable state;

[0098] Transmitting element < -1.5; Transmitting power (level): 5mW (low); Strong signal good condition.

[0099] When the equipment is in good condition and the communication signal is strong, the transmission power is automatically reduced to decrease energy consumption; if the equipment is in abnormal condition or the communication signal is weak, the transmission power is increased to ensure stable data transmission. This adjustment mechanism can reduce energy consumption while ensuring communication reliability, and can also extend the equipment's lifespan by reducing the number of high-power transmissions.

[0100] This application also discloses a remote monitoring system for the operating status of a surge protector, including a processor, wherein the processor executes the steps of the remote monitoring method for the operating status of a surge protector as described in any of the above embodiments.

[0101] This application also discloses a storage medium storing a program, which, when executed by a processor, implements the steps of the remote monitoring method for the operating status of surge protectors described in any of the above embodiments.

[0102] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A method for remotely monitoring the operating state of a lightning arrester, characterized in that The method comprises the following steps: The first processor obtains electrical data of the first lightning protection device based on a preset first mutual inductance sensor; Calculate the surge component data according to the electrical data; Calculate the trend data of the surge component data based on the set first period; Match the trend data with the set trend template, and generate a first status identifier according to the matching result; if the result is matched, the content of the first status identifier is good; otherwise, the content of the first status identifier is abnormal; The first processor establishes a local wireless temporary connection with a second processor within a set distance range based on a set second period, and the second processor is also connected with a second mutual inductance sensor for collecting a second lightning protection device; the first status identifier is sent to the second processor, and the second processor stores the first status identifier and the communication address of the first processor associated with the first status identifier; The second processor generates a second status identifier corresponding to the second lightning protection device, inserts the second status identifier and the received first status identifier into the device information of the second processor, and wirelessly sends the device information to a remote background; wherein the device information includes the communication address of the second processor; The method further comprises the following steps: The remote background extracts the status identifier from the received device information, wherein the status identifier includes the first status identifier and the second status identifier; Analyze the content of the status identifier, if there is abnormal content in the status identifier, send an abnormal access instruction to the second processor, and the abnormal access instruction includes the data address of the abnormal status identifier in the device information; The second processor responds to the abnormal access instruction, extracts the abnormal status identifier in the device information according to the data address, and queries the corresponding communication address of the status identifier; Send the communication address to the remote background, and the remote background queries the corresponding lightning protection device information from the device database according to the communication address.

2. The method of claim 1, wherein, The step of storing the first status identifier and the communication address of the first processor associated with the first status identifier by the second processor further comprises the following substeps: The second processor acquires the signal strength of the connection communication link according to the local wireless temporary connection between the first processor and the second processor; Associate the signal strength with the first status identifier; Sort the first status identifier according to the order of the signal strength from large to small, and write it into the device information.

3. The method of claim 2, wherein the method further comprises: The method further comprises the following steps: Based on a set first time period, calculate the position change amplitude of the data address of the first status identifier corresponding to the first processor; If the position change amplitude is greater than the preset comparative change amplitude, the second processor sends lightning protection device abnormal information and the communication address corresponding to the first status identifier to the remote background.

4. The method of claim 1, wherein, The step of calculating the surge component data according to the electrical data further comprises the following substeps: The electrical data is calculated by a spectrum conversion algorithm to obtain frequency domain data; Power frequency data and transient data are separated from the frequency domain data; Impulse component data and oscillation component data are extracted from the transient data; Surge component data is calculated according to the impulse component data and the oscillation component data.

5. The method of claim 1, wherein, The step of matching the change trend data with a set trend template further includes the following sub-steps: A graph of the change trend data is calculated as a change graph; A graph similarity value of the change graph and the trend template is calculated; If the graph similarity value is greater than a set similarity contrast value, the result is matched, otherwise the result is not matched.

6. The method of claim 5, wherein the method further comprises: The method further includes the following steps: The length of the first period is adjusted according to the graph similarity value, the greater the graph similarity value, the shorter the length of the first period; the smaller the graph similarity value, the longer the length of the first period.

7. The method of claim 6, wherein the method further comprises: The second processor stores the first state identifier and the communication address of the first processor associated with the first state identifier, and further includes the following sub-steps: The first processor obtains a communication strength of a connection communication link according to a local area wireless temporary connection between the first processor and the second processor; If the content of the state identifier is good, a communication element is calculated according to a set strength contrast value and the communication strength, and a matching element is calculated according to the graph similarity value and the similarity contrast value; A transmission element is calculated according to the communication element and the matching element; The transmission power is adjusted according to the transmission element, the greater the transmission element, the greater the transmission power; the smaller the transmission element, the smaller the transmission power.

8. A remote monitoring system for the operating state of a lightning protection device, characterized in that A processor is included, and the processor executes the steps of the lightning protection device operation state remote monitoring method according to any one of claims 1-7.

9. A storage medium, characterized by A program is stored in the medium, and the program is executed by the processor to realize the steps of the lightning protection device operation state remote monitoring method according to any one of claims 1-7.

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