Lightning rod damage detection method and system based on Internet of Things

Abstract

The invention relates to the technical field of lightning rod damage detection, in particular to a lightning rod damage detection method and system based on the Internet of Things, and the method comprises the following steps: collecting the electrical parameters of a lightning rod in real time, calculating a comprehensive score, generating an information packet containing ID, score and original data, temporarily storing the information packet in an edge node local database, and when the network is congested, the traffic mirroring module copies an information packet, extracts the ID and scores to generate a screening packet, the screening packet is preferentially uploaded through a fast channel, color mapping is carried out, operation and maintenance process alarms according to color priorities, and the intelligent scheduling module is triggered to call the corresponding information packet to a fast transmission channel through the ID for transmission. And priority arrival is ensured. According to the invention, the information in the screening packet is used as an index through the intelligent scheduling module, the information packet is called to realize cross-channel rapid transmission, second-level completion of alarm data is realized, and the processing efficiency of operation and maintenance personnel is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of lightning rod damage detection, and specifically, to a lightning rod damage detection method and system based on the Internet of Things. Background Art

[0002] As the core component of the lightning protection system, the performance status of the lightning rod is directly related to the safety of buildings and electrical equipment. Traditional lightning rod damage detection mostly relies on manual regular inspections or offline measurements of single parameters (such as grounding resistance), which have problems such as low efficiency, poor real-time performance, and high costs. With the development of the Internet of Things technology, some detection systems have begun to use sensors to collect multi-parameter data and upload it to the cloud for analysis, but the existing technologies still have the following significant defects:

[0003] First, in a network congestion scenario, traditional systems cannot effectively distinguish data priorities, resulting in transmission delays of key alarm information. Existing solutions usually rely on a single transmission channel and lack a fast response mechanism for high-urgency data, which is likely to cause operation and maintenance lags.

[0004] Second, most methods only perform threshold judgment based on a single parameter (such as grounding resistance), without comprehensively considering the coupling relationship between multiple factors such as soil resistivity, peak lightning current, and contact resistance, resulting in one-sided damage assessment and high false alarm or missed alarm rates.

[0005] Third, existing systems lack an intuitive display of urgency levels (such as color mapping), and cannot actively trigger a data completion mechanism during network anomalies. Operation and maintenance personnel need to manually retrieve multiple data sources, and the response speed is limited.

[0006] In view of this, a lightning rod damage detection method and system based on the Internet of Things are proposed. Summary of the Invention

[0007] The purpose of the present invention is to provide a lightning rod damage detection method and system based on the Internet of Things to improve the detection accuracy and operation and maintenance efficiency.

[0008] To solve the above technical problems, the present invention provides a lightning rod damage detection method based on the Internet of Things, including the following steps:

[0009] S1. Real-time collect the electrical parameter information of the lightning rod operation and upload it to the information processing module. The information processing module comprehensively scores the electrical parameter information based on a preset scoring model, and generates an information packet containing the ID, score, and original parameter information of the lightning rod.

[0010] S2. The information packet enters the local database cache and is output according to the first-in, first-out strategy, and is uploaded to the Alibaba Cloud platform through a normal transmission channel, and performs an urgency color mapping according to the scoring information in the information packet.

[0011] S3. When network congestion is detected between the local database and the cloud database, the traffic mirroring module connected to the output end of the local database copies the information in the information packet and screens the keyword fields as the screening packet. The screening packet passes through the fast transmission channel, is transmitted to the Alibaba Cloud platform, and performs an emergency degree color mapping based on the score. The information packet continues to be transmitted through the normal transmission channel;

[0012] S4. The operation and maintenance personnel process the alarms through the visualization interface according to the color priority, trigger the intelligent scheduling module through the ID information of the lightning rod in the screening packet, and transfer the corresponding information packet to the fast transmission channel for transmission to ensure priority arrival.

[0013] As a further improvement of this technical solution, in S1, the electrical parameter information includes the soil resistivity collected by the soil resistivity tester, the grounding resistance value collected by the resistance tester, the peak lightning current collected by the current sensor, and the contact resistance measured by the electrical continuity tester;

[0014] The preset scoring model performs a weighted sum according to the electrical parameter information. Specifically: S(total) = W1·S(R) + W2·S(I) + W3·S(ρ) + W4·S(C), where S(total) is the score value, W1, W2, W3, and W4 are preset weight values, S(R) is the grounding resistance value score, S(I) is the peak lightning current score, S(ρ) is the soil resistivity score, and S(C) is the contact resistance score.

[0015] As a further improvement of this technical solution, in S3, the criterion for judging network congestion is: if any of the conditions that the bandwidth utilization rate ≥ 80% or the end-to-end delay ≥ 150 ms or the packet loss rate ≥ 5% is met, it is determined as congestion.

[0016] As a further improvement of this technical solution, in S3, the traffic mirroring module includes a data mirroring layer and a field screening layer. Among them, the data mirroring layer is used to copy all the information in the information packet, and upload it as a processing packet to the field screening layer. The field screening layer retains the ID and score information of the lightning rod in the processing packet, and uploads it as the screening packet to the Alibaba Cloud platform through the fast transmission channel.

[0017] As a further improvement of this technical solution, the rule for performing the emergency degree color mapping based on the score is specifically: S(total) ≤ 60, mapped to red; 60 < S(total) ≤ 75, mapped to orange; 75 < S(total) ≤ 90, mapped to yellow; S(total) > 90, mapped to green.

[0018] As a further improvement of this technical solution, several cross-channel bridging units are deployed between the normal transmission channel and the fast transmission channel;

[0019] Both ends of the cross-channel bridging unit are respectively deployed in the normal transmission channel and the fast transmission channel. Each end includes a transmission node and a verification module. Among them, the verification module is used to record the ID of the lightning rod in the information packet or screening packet, control the opening and closing of the cross-channel bridging unit, and locate the position of the information packet. Denote the verification module in the normal transmission channel as verification module v1, and the verification module in the fast transmission channel as verification module v2;

[0020] The opening and closing of the cross-channel bridging unit follow: If only the verification module in the fast transmission channel in the cross-channel bridging unit is activated, the cross-channel bridging unit is in the open state; If both verification modules on both sides in the cross-channel bridging unit are activated or the verification module in the fast transmission channel is activated again, the cross-channel bridging unit is in the closed state;

[0021] The activation of the verification module means that after the information packet or screening packet passes through the transmission node, the information of the ID of the lightning rod in it is recorded.

[0022] As a further improvement of this technical solution, in S4, the operation and maintenance personnel actively select the ID of the lightning rod in the screening packet and select whether to click the scheduling instruction through the visual interface according to the emergency color mapping. When the scheduling instruction is clicked, the intelligent scheduling module is triggered, and according to the ID of the lightning rod in the screening packet, it locates the last activated verification module v1 in the normal transmission channel. According to the last activated verification module v1, it locates the closest unactivated verification module v1, closes the closest unactivated verification module v1, and marks the transmission node corresponding to the closest unactivated verification module v1 as the target point; Between the last activated verification module v1 and the target point, lock the position of the information packet using the ID of the lightning rod;

[0023] Based on the SRv6 protocol, a temporary isolation transmission path is constructed between the locked information packet and the target point, so that the information packet is transmitted from the locked position through the isolation transmission path and the cross-channel bridging unit to the fast transmission channel in sequence. After the information packet passes through the isolation transmission path, the self-destruction protocol is triggered, and the isolation transmission path is automatically destroyed. After passing through the cross-channel bridging unit, the verification module v2 is activated again, and the cross-channel bridging unit is closed.

[0024] An Internet of Things-based lightning rod damage detection system. The Internet of Things-based lightning rod damage detection system is used to implement the above-mentioned Internet of Things-based lightning rod damage detection method, and includes a signal acquisition module, an information processing module, a local database, an edge node module, a traffic mirroring module, and an Alibaba Cloud platform;

[0025] The signal acquisition module is used to collect the parameter information of the lightning rod operation in real time and upload it to the information processing module. The signal acquisition module includes a soil resistivity tester, a resistance tester, a current sensor, and an electrical continuity tester;

[0026] Based on a preset scoring model, the information processing module comprehensively scores the parameter information, generates an information packet with the ID of the lightning rod as the core, which includes the ID, score, and original parameters of the lightning rod, and uploads it to the edge node module;

[0027] The local database is used to cache the information packets and output the information packets according to the first-in-first-out strategy;

[0028] The traffic mirroring module is used to copy the information in the information packet and screen the key fields as a screening packet when the network is congested, and upload it to the Alibaba Cloud platform through the fast transmission channel;

[0029] The Alibaba Cloud platform includes a scoring mapping module, an intelligent scheduling module, and a cloud database. Among them, the scoring mapping module performs an emergency color mapping based on the score; the intelligent scheduling module transfers the information packet from the normal transmission channel to the fast transmission channel for transmission through the ID of the lightning rod when the data in the screening packet is incomplete; the cloud database is used to cache the uploaded information packets and automatically clears the corresponding information packets in the local database after confirming the receipt of the information packets.

[0030] Compared with the prior art, the beneficial effects of the present invention are:

[0031] 1. In the lightning rod damage detection method and system based on the Internet of Things, by comprehensively considering multi-dimensional electrical parameters such as soil resistivity, grounding resistance value, lightning current peak value, and contact resistance, and combining a preset weighted scoring model, a comprehensive quantitative evaluation of the lightning rod state is realized, effectively avoiding the one-sidedness of a single parameter threshold criterion, and significantly reducing the false alarm and missed alarm rates.

[0032] 2. In the lightning rod damage detection method and system based on the Internet of Things, a dual-path design of "normal transmission channel + fast transmission channel" is adopted, combined with dynamic network congestion detection, and the key fields are compressed into a screening packet for priority upload, ensuring that the transmission delay of high-urgency alarms is reduced, and solving the problem of response lag caused by data congestion in the traditional single-channel mode.

[0033] 3. In the lightning rod damage detection method and system based on the Internet of Things, through the intelligent scheduling module, using the information in the screening packet as an index, the information packet is called to achieve fast cross-channel transmission, realizing the second-level completion of alarm data, and improving the processing efficiency of operation and maintenance personnel.

[0034] 4. In the lightning rod damage detection method and system based on the Internet of Things, based on the emergency color mapping rule of the scoring result, the alarm priority is intuitively displayed, combined with the real-time synchronization of the local database and the cloud database, avoiding the cumbersome operation of manually retrieving multiple data sources, and shortening the fault location time. Description of the Drawings

[0035] Figure 1Schematic diagram of the method flow of the present invention. Specific embodiments

[0036] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all secondary embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0037] At present, as the core component of the lightning protection system, the performance state of the lightning rod is directly related to the safety of buildings and electrical equipment. Traditional lightning rod damage detection mostly relies on manual regular inspections or off-line measurements of single parameters (such as grounding resistance), which have problems such as low efficiency, poor real-time performance, and high costs. With the development of Internet of Things technology, some detection systems have begun to use sensors to collect multi-parameter data and upload it to the cloud for analysis, but there are still significant defects in data transmission efficiency, state evaluation models, data synchronization and retrieval efficiency, and visualization and scheduling capabilities;

[0038] In view of this, please refer to Figure 1 As shown, one of the purposes of the present invention is to provide a method for detecting lightning rod damage based on the Internet of Things. The method for detecting lightning rod damage based on the Internet of Things includes the following steps:

[0039] S1. Real-time collect the electrical parameter information of the lightning rod operation and upload it to the information processing module. The information processing module comprehensively scores the electrical parameter information based on a preset scoring model, and generates an information packet containing the ID, score, and original parameter information of the lightning rod;

[0040] S2. The information packet enters the local database cache and is output according to the first-in, first-out strategy, and is uploaded to the Alibaba Cloud platform through the normal transmission channel, and emergency color mapping is performed according to the score information in the information packet;

[0041] S3. When network congestion is detected between the local database and the cloud database, the traffic mirroring module connected to the output end of the local database copies the information in the information packet and screens the key fields as the screening packet. The screening packet is transmitted to the Alibaba Cloud platform through the fast transmission channel, and emergency color mapping is performed based on the score. The information packet continues to be transmitted through the normal transmission channel;

[0042] S4. The operation and maintenance personnel process the alarms according to the color priority through the visualization interface, trigger the intelligent scheduling module through the ID information of the lightning rod in the screening packet, and transfer the corresponding information packet to the fast transmission channel for transmission to ensure priority arrival.

[0043] In the lightning rod damage detection method and system based on the Internet of Things, by comprehensively considering multi-dimensional electrical parameters such as soil resistivity, grounding resistance value, lightning current peak value, and contact resistance, and combining a preset weighted scoring model, a comprehensive quantitative evaluation of the lightning rod status is achieved, effectively avoiding the one-sidedness of the single-parameter threshold criterion, significantly reducing the false alarm and missed alarm rates. A dual-path design of "normal transmission channel + fast transmission channel" is adopted, combined with dynamic detection of network congestion. The keyword fields are compressed into screening packets and uploaded preferentially to ensure that the transmission delay of high-urgency alarms is reduced, solving the problem of response lag caused by data congestion in the traditional single-channel mode. At the same time, through the intelligent scheduling module, using the information in the screening packet as an index, the information packet is called to achieve fast cross-channel transmission, realizing the second-level completion of alarm data and improving the processing efficiency of operation and maintenance personnel.

[0044] Since when the lightning rod is in operation, the information uploaded to the Alibaba Cloud platform most frequently is the electrical-related operating parameters. The reason is that these parameters change in real time. For example, the lightning current peak value may change instantaneously during a lightning strike and needs to be captured in a timely manner. And these parameters directly affect the safety of the lightning rod. High-frequency uploading helps to quickly respond to potential problems. Therefore, in step S1, the electrical parameter information includes the soil resistivity collected by a soil resistivity tester, the grounding resistance value collected by a resistance tester, the lightning current peak value collected by a current sensor, and the contact resistance measured by an electrical continuity tester. By uploading the electrical-related operating parameters at a high frequency, the operation and maintenance personnel can discover the problems of the lightning rod faster, shortening the alarm trigger time from 24 hours of traditional manual inspection to within a few minutes.

[0045] Considering that there are many lightning rod devices and multiple lightning rods upload the same type of data, the operation and maintenance personnel need to manually screen out the abnormal parameters, which is easy to cause visual fatigue. To facilitate the rapid screening of the operation and maintenance personnel, a comprehensive score is given to the electrical operating parameters collected by each lightning rod each time. Therefore, by setting a preset scoring model, the parameter information is weighted and summed to obtain a comprehensive score. The operation and maintenance personnel only need to check the comprehensive score first to screen out the urgent lightning rods first, thus reducing the mechanical labor of the operation and maintenance personnel. Specifically, S(total) = W1·S(R) + W2·S(I) + W3·S(ρ) + W4·S(C), where S(total) is the comprehensive score, W1, W2, W3, and W4 are preset weight values, W1 + W2 + W3 + W4 = 1, S(R) is the grounding resistance value score, S(I) is the lightning current peak value score, S(ρ) is the soil resistivity score, and S(C) is the contact resistance score. Among them, An information packet centered on the ID of the lightning rod, containing the ID, score, and original parameters of the lightning rod.

[0046] Considering the diversity of network congestion evaluation, the evaluation criteria for network congestion are set as follows: when the bandwidth utilization rate ≥ 80% (indicating that the network is approaching full load, continuous high load is likely to cause data accumulation and early warning is required), or the end-to-end delay ≥ 150 ms, or the packet loss rate ≥ 5%, any one of these conditions being met alone is determined as congestion, to avoid response lag caused by the failure of a single indicator (such as low bandwidth but high packet loss rate);

[0047] The normal transmission channel is the default data transmission channel used when the network status is good (bandwidth utilization rate < 80%, delay < 150 ms, packet loss rate < 5%), and is used for the reliable transmission of complete information packets (including lightning rod ID, score, and all original parameters); the fast transmission channel is a high-priority channel enabled in the network congestion scenario to ensure that alarm information reaches the Alibaba Cloud platform within milliseconds; when there is network congestion, the normal transmission channel and the fast transmission channel transmit in parallel.

[0048] Considering that when there is network congestion, some information packets contain emergency situations and need to be immediately transmitted to the Alibaba Cloud platform. Therefore, by setting the information in the information packet to be copied and screening key fields as the screening packet, the screening packet is transmitted to the Alibaba Cloud platform through the fast transmission channel, specifically as follows:

[0049] The traffic mirroring module includes a data mirroring layer and a field screening layer. Among them, the data mirroring layer is used to copy all the information in the information packet and upload it as a processing packet to the field screening layer. The field screening layer dynamically adjusts the data extraction granularity of the information packet through a three-level screening mechanism. The corresponding relationship between its activation rule and the network rate (unit: Mbps) is as follows:

[0050] Initial screening layer: The triggered network rate range is ≥ 10 Mbps, and the data extraction rule is to retain the key text summaries of all parameters, such as "Grounding resistance: 7.5 Ω, status normal", and remove redundant data such as the original waveform and timestamp;

[0051] Medium screening layer: The triggered network rate range is 2 Mbps ≤ rate < 10 Mbps, and the data extraction rule is to retain the lightning rod ID and score, and generate status labels for each parameter, such as "Peak lightning current: abnormal, exceeding the threshold by 15%";

[0052] High screening layer: The triggered network rate range is < 2 Mbps, and the data extraction rule is to only retain the lightning rod ID and score;

[0053] Regardless of which layer the field screening layer is enabled to, the ID and score information of the lightning rod are retained and uploaded to the Alibaba Cloud platform through the fast transmission channel. Through the three-level screening mechanism triggered dynamically based on the network rate, the maximization of network resource utilization is achieved. Especially for the screening packet output by the high screening layer, only the lightning rod ID and score are retained, reducing the amount of transmitted information and improving the transmission efficiency.

[0054] To facilitate the operation and maintenance personnel to quickly select the screening packages that may contain dangerous parameters from the screening packages, therefore, an emergency color mapping is performed based on the score. Specifically: S(total) ≤ 60 is mapped to red, 60 < S(total) ≤ 75 is mapped to orange, 75 < S(total) ≤ 90 is mapped to yellow, and S(total) > 90 is mapped to green. The operation and maintenance personnel preferentially select the red screening packages for viewing.

[0055] Whether it is the initial screening layer, the medium screening layer, or the high screening layer, the information contained in the output screening packages is abbreviated. Especially for the screening packages output by the high screening layer, the operation and maintenance personnel only know the ID of the lightning rod, but do not know what problems the lightning rod has. Complete information is required for the operation and maintenance personnel to specify the corresponding maintenance work order according to the information. Therefore, relevant information is traced through the setting of an intelligent scheduling module. Also, because the transmission speed of the normal transmission channel is low during network congestion, several cross-channel bridging units are deployed between the normal transmission channel and the fast transmission channel. The information packets in the normal transmission channel are transmitted to the fast transmission channel through the cross-channel bridging units; thus, the efficient flow of information is realized, ensuring that the operation and maintenance personnel can quickly obtain key data, accurately locate problems, and quickly respond to processing even in a low network rate environment, improving the overall operation and maintenance efficiency.

[0056] To control the transmission flow of information packets, therefore, the two ends of the cross-channel bridging unit are respectively deployed in the normal transmission channel and the fast transmission channel. Each end includes a transmission node and a verification module. The verification module is used to record the ID of the lightning rod in the information packet or screening package, control the opening and closing of the cross-channel bridging unit, and locate the position of the information packet. Denote the verification module of the normal transmission channel as verification module v1, and the verification module of the fast transmission channel as verification module v2; the condition for the opening and closing of the cross-channel bridging unit is: if only the verification module of the fast transmission channel is activated in the cross-channel bridging unit, the cross-channel bridging unit is in the open state; if both verification modules on both sides are activated or the verification module of the fast transmission channel is activated again in the cross-channel bridging unit, the cross-channel bridging unit is in the closed state; the verification module is activated means that after the information packet or screening package passes through the transmission node, the information of the ID of the lightning rod in it is recorded; through the flexible scheduling of the cross-channel bridging unit, the network pressure is effectively relieved, ensuring the real-time transmission of key information, improving the timeliness of operation and maintenance response, and ensuring the stable operation of the system.

[0057] According to the urgency color mapping, the operation and maintenance personnel actively select the ID of the lightning rod in the screening package through the visual interface and choose whether to click the scheduling instruction. When the scheduling instruction is clicked, the intelligent scheduling module is triggered, and the last activated verification module v1 in the normal transmission channel is located according to the ID of the lightning rod in the screening package. According to the last activated verification module v1, the closest unactivated verification module v1 is located. In order to avoid verification risks, the closest unactivated verification module v1 is turned off, and the transmission node corresponding to the closest unactivated verification module v1 is marked as the target point; between the last activated verification module v1 and the target point, the information packet position is locked using the ID of the lightning rod;

[0058] Through the SRv6 protocol, an isolated transmission path is temporarily constructed between the locked information packet and the target point, realizing seamless directional transmission of the information packet from the locked location to the target point. The path self-destruction mechanism releases resources immediately after the transmission is completed to avoid idle occupation of the channel. At the same time, after the information packet enters the fast transmission channel through the target cross-channel bridging unit, the verification module v2 is activated again and the cross-channel bridging unit is closed, which not only ensures that abnormal data cannot be reversely infiltrated, but also blocks subsequent attack chains through state hard isolation.

[0059] Intelligent resetting of the verification module prevents channel overload caused by high-frequency requests; temporary path self-destruction and closed state linkage form a transmission sandbox to control security threats within a single transmission cycle; the SRv6 protocol natively supports path programming, which compresses the end-to-end establishment time of the isolation channel, ultimately achieving the dual requirements of high security and high throughput, which is especially suitable for millisecond-level reliable reporting of lightning rod fault signals and real-time fusing of attack traffic in power monitoring scenarios.

[0060] The second object of the present invention is to provide a lightning rod damage detection system based on the Internet of Things, which is used to implement the above-mentioned lightning rod damage detection method based on the Internet of Things, including a signal acquisition module, an information processing module, a local database, an edge node module, a traffic mirroring module and an Alibaba Cloud platform;

[0061] The signal acquisition module is used to collect the parameter information of the lightning rod operation in real time and upload it to the information processing module. The signal acquisition module includes a soil resistivity tester, a resistance tester, a current sensor and an electrical continuity tester;

[0062] The information processing module comprehensively scores the parameter information based on the preset scoring model, generates an information package with the lightning rod ID as the core, including the lightning rod ID, score and original parameters, and uploads it to the edge node module;

[0063] The local database is used to cache information packets and output them according to the first-in-first-out policy;

[0064] The traffic mirroring module is used to copy the information in the packet and screen the key fields as the screening packet when the network is congested, and upload it to the Alibaba Cloud platform through the fast transmission channel;

[0065] The Alibaba Cloud platform includes a scoring mapping module, an intelligent scheduling module, and a cloud database. Among them, the scoring mapping module performs an emergency degree color mapping based on the score; the intelligent scheduling module transfers the packet from the normal transmission channel to the fast transmission channel for transmission through the ID of the lightning rod when the data of the screening packet is incomplete; the cloud database is used to cache the uploaded packet and automatically clear the corresponding packet in the local database after confirming the receipt of the packet.

[0066] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification are only preferred examples of the present invention and are not used to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A method for detecting lightning rod damage based on the Internet of Things, characterized in that, It includes the following steps: S1. Electric parameter information of the lightning rod during operation is collected in real time and uploaded to the information processing module. The information processing module comprehensively scores the electric parameter information based on a preset scoring model, and generates an information packet containing the ID, score, and original parameter information of the lightning rod; S2. The information packet enters the local database for caching and is output according to the first-in, first-out policy, and is uploaded to the Alibaba Cloud platform through the normal transmission channel, and emergency color mapping is performed according to the scoring information in the information packet; S3. When network congestion is detected between the local database and the cloud database, the traffic mirroring module connected to the output end of the local database copies the information in the information packet and screens the key fields as the screening packet. The screening packet is transmitted to the Alibaba Cloud platform through the fast transmission channel, and emergency color mapping is performed based on the score. The information packet continues to be transmitted through the normal transmission channel; S4. The operation and maintenance personnel process the alarms according to the color priority through the visualization interface, trigger the intelligent scheduling module through the ID information of the lightning rod in the screening packet, and transfer the corresponding information packet to the fast transmission channel for transmission to ensure priority arrival.

2. The method for detecting lightning rod damage based on the Internet of Things according to claim 1, wherein: In S1, the electric parameter information includes the soil resistivity collected by the soil resistivity tester, the grounding resistance value collected by the resistance tester, the peak lightning current collected by the current sensor, and the contact resistance measured by the electrical continuity tester; The preset scoring model performs weighted summation based on electrical parameter information, specifically as follows: , where is the scoring value, , , and are preset weight values, is the scoring value of the grounding resistance value, is the scoring value of the lightning current peak value, is the scoring value of the soil resistivity, is the scoring value of the contact resistance.

3. The method for detecting lightning rod damage based on the Internet of Things according to claim 1, characterized in that: In S3, the criterion for judging network congestion is: if any of the conditions of bandwidth utilization rate ≥ 80% or end-to-end delay ≥ 150 ms or packet loss rate ≥ 5% is met, it is determined to be congested.

4. The method for detecting lightning rod damage based on the Internet of Things according to claim 1, characterized in that: In S3, the traffic mirroring module includes a data mirroring layer and a field screening layer. Among them, the data mirroring layer is used to copy all the information in the information packet and upload it as a processing packet to the field screening layer. The field screening layer retains the ID and score information of the lightning rod in the processing packet as the screening packet and uploads it to the Alibaba Cloud platform through the fast transmission channel.

5. The method for detecting lightning rod damage based on the Internet of Things according to claim 1, wherein: The rules for emergency degree color mapping based on scoring are specifically as follows: , mapped to red, , mapped to orange, , mapped to yellow, > 90, mapped to green.

6. The method for detecting lightning rod damage based on the Internet of Things according to claim 1, wherein: A number of cross-channel bridging units are deployed between the normal transmission channel and the fast transmission channel; Both ends of the cross-channel bridging unit are respectively deployed in the normal transmission channel and the fast transmission channel. Each end includes a transmission node and a verification module. Among them, the verification module is used to record the ID of the lightning rod in the information packet or screening packet, control the opening and closing of the cross-channel bridging unit, and locate the position of the information packet. The verification module in the normal transmission channel is denoted as verification module v1, and the verification module in the fast transmission channel is denoted as verification module v2; The opening and closing of the cross-channel bridging unit follow: if only the verification module in the fast transmission channel is activated in the cross-channel bridging unit, the cross-channel bridging unit is in the open state; if both verification modules on both sides are activated or the verification module in the fast transmission channel is activated again in the cross-channel bridging unit, the cross-channel bridging unit is in the closed state; The activation of the verification module means that after the information packet or screening packet passes through the transmission node, the information of the ID of the lightning rod in it is recorded.

7. The lightning rod damage detection method based on the Internet of Things according to claim 6, characterized in that: In S4, the operation and maintenance personnel actively select the ID of the lightning rod in the screening package through the visualization interface according to the emergency degree color mapping and select whether to click the dispatching instruction. When the dispatching instruction is clicked, the intelligent dispatching module is triggered. According to the ID of the lightning rod in the screening package, the last activated verification module v1 in the normal transmission channel is located. According to the last activated verification module v1, the closest unactivated verification module v1 is located, the closest unactivated verification module v1 is closed, and the transmission node corresponding to the closest unactivated verification module v1 is marked as the target point; between the last activated verification module v1 and the target point, the position of the information packet is locked by using the ID of the lightning rod. Based on the SRv6 protocol, an isolation transmission path is temporarily constructed between the locked information packet and the target point, so that the information packet is transmitted from the locked position through the isolation transmission path and the cross-channel bridging unit to the fast transmission channel in sequence. After the information packet passes through the isolation transmission path, the self-destruction protocol is triggered, and the isolation transmission path is automatically destroyed. After passing through the cross-channel bridging unit, the verification module v2 is activated again, and the cross-channel bridging unit is closed.

8. An Internet of Things-based lightning rod damage detection system, which is used to implement the Internet of Things-based lightning rod damage detection method according to any one of claims 1-7, and is characterized in that: It includes a signal acquisition module, an information processing module, a local database, an edge node module, a traffic mirroring module, and an Alibaba Cloud platform; The signal acquisition module is used to collect the parameter information of the lightning rod operation in real time and upload it to the information processing module. The signal acquisition module includes a soil resistivity tester, a resistance tester, a current sensor, and an electrical continuity tester; The information processing module comprehensively scores the parameter information based on a preset scoring model, generates an information packet with the ID of the lightning rod as the core, including the ID of the lightning rod, the score, and the original parameters, and uploads it to the edge node module; The local database is used to cache the information packets and output the information packets according to the first-in, first-out policy; The traffic mirroring module is used to copy the information in the information packet and screen the key fields as a screening package when the network is congested, and upload it to the Alibaba Cloud platform through the fast transmission channel; The Alibaba Cloud platform includes a scoring mapping module, an intelligent dispatching module, and a cloud database. Among them, the scoring mapping module performs an emergency degree color mapping based on the score; The intelligent dispatching module transfers the information packet from the normal transmission channel to the fast transmission channel for transmission through the ID of the lightning rod when the data in the screening package is incomplete; the cloud database is used to cache the uploaded information packets and automatically clear the corresponding information packets in the local database after confirming the receipt of the information packets.

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