Low-power edge computing data compression transmission method and system

Abstract

This invention relates to a low-power edge computing data compression and transmission method and system, relating to the field of cable condition monitoring technology. The method includes: acquiring cable parameters and accumulating acquisition time; when the acquisition time reaches the acquisition cycle time, dividing the cable parameters according to data windowing rules to obtain windowed data; analyzing the windowed data to extract corresponding extreme value data; sorting multiple extreme value data according to time arrangement rules to obtain an extreme value sort; sequentially outputting the extreme value data according to the extreme value sort and compressing the extreme value data according to a compression format to obtain an extreme value compressed set; after transmitting the extreme value compressed set according to the transmission scheme, generating and outputting a cable condition diagram based on the extreme value compressed set. This invention improves the efficiency of data transmission.

Description

Technical Field

[0001] This invention relates to the field of cable condition monitoring technology, and in particular to a low-power edge computing data compression and transmission method and system. Background Technology

[0002] Power cables are the energy arteries of urban power grids. Their joints and accessories are prone to partial discharge (PD) due to installation processes, aging, and other factors, ultimately leading to insulation breakdown. The pulse current method is a commonly used and effective method for monitoring PD.

[0003] Traditional pulse current monitoring systems typically employ continuous high-speed sampling and directly upload massive amounts of raw data to cloud servers for processing.

[0004] Regarding the aforementioned technologies, most current cable condition monitoring methods and systems continuously collect cable data and transmit the raw data, resulting in a large data transmission load. Therefore, there is still room for improvement in the efficiency of data transmission. Summary of the Invention

[0005] To improve the efficiency of data transmission, this invention provides a low-power edge computing data compression and transmission method and system.

[0006] In a first aspect, the present invention provides a low-power edge computing data compression and transmission method, which adopts the following technical solution:

[0007] A low-power edge computing data compression and transmission method includes:

[0008] Step 1: Collect cable parameters and accumulate the collection time simultaneously;

[0009] Step 2: When the acquisition time reaches the preset acquisition cycle time, the cable parameters are divided according to the preset data windowing rules to obtain windowed data;

[0010] Step 3: Analyze the windowed data to extract the corresponding extreme value data;

[0011] Step 4: Sort the multiple extreme value data according to the preset time sorting rules to obtain the extreme value sorting;

[0012] Step 5: Output the extreme value data in sequence according to the extreme value sorting and compress the extreme value data according to the preset compression format to obtain the extreme value compressed set;

[0013] Step 6: After transmitting the extreme value compression set according to the preset transmission scheme, generate and output the cable status diagram based on the extreme value compression set.

[0014] By adopting the above technical solution, cable parameters are collected in real time according to the cycle and the collection time is accumulated. Then, the data within the cycle is integrated and divided into windows. The extreme value data in each window is extracted. Finally, the extreme value data is compressed and transmitted to generate a cable status diagram. This reduces the power consumption caused by transmitting all the data and improves the efficiency of data transmission.

[0015] Optional, also includes:

[0016] Step 7: Collect data on the monitoring device area and the power level of the monitoring device;

[0017] Step 8: When a preset alarm signal is received, analyze the cable status diagram to obtain cable discharge data;

[0018] Step 9: If cable discharge data is not available, search and filter the charging robot number by monitoring the monitoring device area and monitoring device power.

[0019] Step 10: Determine the charging path by monitoring the area of ​​the device and the charging robot number;

[0020] Step 11: Control the charging robot corresponding to the charging robot number to move along the charging path until it reaches the monitoring device area;

[0021] Step 12: If cable discharge data exists, locate the corresponding maintenance robot number and maintenance plan through the monitoring device area;

[0022] Step 13: Determine the maintenance path by monitoring the device area and the maintenance robot number;

[0023] Step 14: Control the maintenance robot corresponding to the maintenance robot number to move along the maintenance path until it reaches the monitoring device area and executes the maintenance plan.

[0024] By adopting the above technical solution, when an alarm signal is received, it can be distinguished whether there is discharge data in the cable. If there is no discharge data, a charging robot is selected based on the monitoring device area and power, and a charging path is planned to realize automatic power replenishment of the monitoring device. If there is discharge data, a maintenance robot and maintenance plan are matched according to the monitoring device area, and a maintenance path is planned to realize rough remedial maintenance when the cable is partially discharged, thereby improving the timeliness and intelligence level of cable abnormality handling.

[0025] Optionally, if cable discharge data exists, the method for finding the corresponding maintenance robot number and maintenance plan through the monitoring device area includes:

[0026] Step 120: Analyze the types of cable discharge using the cable status diagram;

[0027] Step 121: When the cable discharge type is the preset insulation layer type, calculate the amount of additional coating through the cable condition diagram, and determine the coating supplementation area at the same time;

[0028] Step 122: Find and filter the corresponding maintenance robot number by supplementing the coating amount and monitoring device area, and output it;

[0029] Step 123: Determine the supplementary coating scheme by supplementing the amount of coating and the area to be supplemented, and define it as the maintenance scheme output;

[0030] Step 124: When the cable discharge type is not the insulation type, generate and output a discharge danger signal based on the cable discharge type.

[0031] By adopting the above technical solution, when cable discharge data exists, the discharge type is analyzed through the cable status diagram. For insulation layer discharge, the amount of additional coating is calculated and the coating supplementation area is determined. Then, the matching maintenance robot number is selected and a targeted supplementation coating plan is formulated. For non-insulation layer discharge, a discharge danger signal is generated and output in a timely manner, thereby improving the pertinence and safety of cable operation and maintenance.

[0032] Optionally, it also includes a method for implementing the maintenance plan, which includes:

[0033] Step 1230: Control the maintenance robot corresponding to the maintenance robot number to move according to the maintenance path;

[0034] Step 1231: After the maintenance robot corresponding to the maintenance robot number has moved along the maintenance path, determine the area distance difference based on the monitoring device area and the coating replenishment area;

[0035] Step 1232: If the area distance difference falls within the preset ignore distance difference value, control the maintenance robot corresponding to the maintenance robot number to directly execute the maintenance plan according to the amount of additional coating;

[0036] Step 1233: If the regional distance difference falls within the preset redundant distance difference value, calculate the stretching distance based on the redundant distance difference value and the regional distance difference;

[0037] Steps 1234: After the maintenance robot corresponding to the maintenance robot number stretches the cable in the monitoring device area according to the stretching distance, the maintenance plan is executed according to the amount of additional coating.

[0038] By adopting the above technical solution, the maintenance robot is controlled to move along the maintenance path to the monitoring device area. The distance difference between the monitoring device area and the coating replenishment area is determined. When the close-range operation conditions are met, the coating repair is performed directly. When there is a redundant distance, the cable stretching is calculated and completed before the coating replenishment is performed. This enables the maintenance robot to adapt to coating repair operations under different spatial distances, thereby improving the reliability and stability of automatic cable fault repair.

[0039] Optionally, the implementation methods of the maintenance plan also include:

[0040] Step 1235: If the area distance difference falls within the preset pipeline distance difference value, obtain the scraper entry area corresponding to the monitoring device area;

[0041] Step 1236: When the scraper entry area exists, calculate the scraper entry distance by comparing the scraper entry area and the coating replenishment area;

[0042] Step 1237: Control the maintenance robot corresponding to the maintenance robot number to extend into the scraper according to the scraper entry distance;

[0043] Steps 1238: After the scraper reaches the coating replenishment area, execute the maintenance plan according to the amount of coating to be replenished.

[0044] By adopting the above technical solution, in the case of the difference between the area distance and the distance difference in the pipeline, the scraper entry area corresponding to the monitoring device area is obtained. When the scraper entry area exists, the scraper entry distance is accurately calculated and the maintenance robot is controlled to extend into the scraper at this distance. After the scraper reaches the coating replenishment area, the coating replenishment operation is performed, which improves the adaptability and accuracy of the maintenance plan.

[0045] Optionally, it also includes a method for determining whether to implement a maintenance plan, the method comprising:

[0046] Steps 1239: Obtain a manual solution;

[0047] Step 1240: Extract the manual repair time from the manual repair plan, and at the same time extract the machine repair time from the repair plan;

[0048] Step 1241: Compare manual repair time with machine repair time according to the time sorting rules to obtain the priority repair time;

[0049] Step 1242: When the priority repair time is the manual repair time, replace the repair plan with the manual repair plan and do not execute the repair plan;

[0050] Step 1243: When the priority repair time is the machine repair time, control the repair robot corresponding to the repair robot number to execute the repair plan.

[0051] By adopting the above technical solution, before implementing the maintenance plan, the manual plan is obtained and the manual maintenance time and machine maintenance time are extracted separately. The two are compared by time arrangement rules to obtain the priority maintenance time. Based on the priority maintenance time, the manual plan or machine maintenance plan is selected to be implemented, which avoids maintenance conflicts and ensures that the maintenance work is carried out in an orderly manner at the optimal time, thereby improving the flexibility, rationality and efficiency of cable maintenance.

[0052] Optionally, when the priority repair time is the machine repair time, the method for controlling the repair robot corresponding to the repair robot number to execute the repair plan includes:

[0053] Step 12430: Use the cable status diagram to find historical cable diagrams to calculate the cable failure time;

[0054] Step 12431: If the manual repair time falls within the cable damage time, replace the manual repair plan with the manual repair plan and do not execute the manual repair plan;

[0055] Step 12432: If the manual maintenance time does not fall within the cable damage time, calculate the coating requirement based on the manual maintenance time and the cable condition diagram;

[0056] Step 12433: If the coating requirement is greater than the amount of additional coating, control the maintenance robot corresponding to the maintenance robot number to execute the maintenance plan according to the coating requirement;

[0057] Step 12434: If the required amount of coating is less than the amount of additional coating, control the maintenance robot corresponding to the maintenance robot number to directly execute the maintenance plan according to the amount of additional coating.

[0058] By adopting the above technical solution, after determining the priority repair time as the machine repair time, the cable damage time is calculated by looking up historical cable diagrams in conjunction with the cable status diagram. Differential processing is carried out by combining the matching of manual repair time and cable damage time, so as to avoid coating waste or insufficient repair and improve the rationality and accuracy of the machine repair plan.

[0059] Optionally, it also includes a method for obtaining an extreme value compression set when the charging robot number does not exist, the method comprising:

[0060] Step 90: Output the extreme value data in sequence according to the extreme value sorting and compare it with the preset standard data to obtain the discharge extreme value data;

[0061] Step 91: If the discharge extreme value data does not exist, do not compress the extreme value data according to the compression format;

[0062] Step 92: If discharge extreme value data exists, output the extreme value data in sequence according to the extreme value sorting and compress the extreme value data according to the compression format to obtain the extreme value compressed set.

[0063] By adopting the above technical solution, in the scenario where the charging robot number does not exist, the extreme value data is compared with the standard data to filter out the discharge extreme value data. The extreme value data is processed differently according to whether there is a difference in the discharge extreme value data, avoiding unnecessary data compression operations when there is no discharge anomaly, and improving the flexibility and targeting of data processing.

[0064] Optionally, it also includes a method for outputting extreme value data sequentially according to the extreme value sorting and compressing the extreme value data according to the compression format to obtain an extreme value compressed set when the discharge extreme value data does not exist. This method includes:

[0065] Step 920: Collect the extreme value time corresponding to the extreme value data;

[0066] Step 921: Analyze cable discharge time using multiple historical cable diagrams;

[0067] Step 922: Determine the time range of the same day based on the extreme value time and the preset same-day rules;

[0068] Step 923: When the cable discharge time falls within the same day's time range, output the extreme value data in sequence according to the extreme value sorting and compress the extreme value data according to the compression format to obtain the extreme value compressed set;

[0069] Step 924: Do not compress extreme value data when the cable discharge time does not fall within the same day's time range.

[0070] By adopting the above technical solution, when discharge extreme value data is not available, the extreme value time corresponding to the extreme value data is collected. Combined with the analysis and prediction of cable discharge time by historical cable diagrams, the same-day time range to which the extreme value time belongs is determined according to the same-day rule. The extreme value data is processed differently according to whether the cable discharge time falls into this range, so as to avoid ineffective energy consumption in risk-free scenarios and improve the prevention effect of cable partial discharge.

[0071] Secondly, this invention provides a low-power edge computing data compression and transmission system, which adopts the following technical solution:

[0072] A low-power edge computing data compression and transmission system, comprising:

[0073] The acquisition module is used to acquire cable parameters, acquisition time, monitoring device area, monitoring device power, manual scheme and extreme value time;

[0074] A memory for storing a program for a low-power edge computing data compression and transmission method as described above;

[0075] The processor loads and executes programs from memory.

[0076] By adopting the above technical solution, the core data required for the entire process, such as cable parameters, is collected uniformly by the acquisition module. The program for low-power edge computing data compression and transmission is stored in the memory and then loaded and executed by the processor. This ensures the comprehensiveness of cable monitoring data acquisition and improves the stability and intelligence level of the system operation.

[0077] In summary, the present invention has at least one of the following beneficial technical effects:

[0078] 1. By collecting periodic cable parameters in real time and performing windowing processing, only the extreme value data in a single window is extracted for compression and transmission, and then a cable status diagram is generated, which reduces the power consumption of cable data transmission and improves the efficiency of data transmission.

[0079] 2. Based on the coating replenishment area and the monitoring device area, a scheme is developed to determine whether the coating is inside the pipe. Both exposed and inside the pipe have corresponding partial discharge areas for cable maintenance, which reduces the safety hazards caused by partial discharge of cables and improves the efficiency and safety of cable maintenance.

[0080] 3. When the power cannot be replenished by the charging robot, the system filters cable parameters that exceed the standard data, extracts extreme values ​​and transmits them, which further reduces the power consumption of cable data transmission, while ensuring that data can be transmitted even when the cable is discharging, thus improving the efficiency of the monitoring device in collecting and transmitting data. Attached Figure Description

[0081] Figure 1 This is a flowchart of a low-power edge computing data compression and transmission method according to an embodiment of this application. Detailed Implementation

[0082] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0083] This invention discloses a low-power edge computing data compression and transmission method. (Refer to...) Figure 1 A low-power edge computing data compression and transmission method includes:

[0084] Step 1: Collect cable parameters and accumulate the collection time.

[0085] Cable parameters refer to the relevant electrical parameters reflecting the operating status and insulation performance of power cables. These parameters are acquired in real-time through monitoring devices, such as pulse current sensors, voltage sensors, and temperature sensors installed on cable joints or lines. Acquisition time refers to the cumulative duration of data acquisition by the monitoring device from the start of parameter acquisition. This acquisition time is accumulated in real-time using a built-in timing module in the monitoring device, starting from the instant cable parameter acquisition begins.

[0086] Step 2: When the acquisition time reaches the preset acquisition cycle time, the cable parameters are divided according to the preset data windowing rules to obtain windowed data.

[0087] The data acquisition cycle time refers to the fixed time length used to complete one complete data acquisition and processing cycle, which is set by professionals in this field according to actual needs, for example: 1 minute.

[0088] Data windowing rules refer to the standard rules for dividing continuously acquired cable parameters within a single acquisition cycle into segments based on time length. These rules are set or adjusted by professionals in the field according to actual needs, for example, 10ms. Windowed data refers to independent data units obtained by dividing cable parameters within a single acquisition cycle into segments of fixed time length. Here, windowed data is obtained by the system segmenting continuous cable parameter time-series data into several independent data segments based on the window time length.

[0089] When the acquisition time reaches the acquisition cycle time, it means that the parameters of a complete cable segment have been acquired. In order to reduce the power consumption of data transmission and improve the efficiency of data transmission, the cable parameters are divided according to the data windowing rules to obtain windowed data.

[0090] Step 3: Analyze the windowed data to extract the corresponding extreme value data.

[0091] Extreme value data refers to the maximum absolute value of the pulse signal in the cable parameters within the time window corresponding to each segment of data. The method for extracting extreme value data here is to traverse all sampling points within each time window, calculate the absolute value of the pulse signal at each sampling point, and obtain the maximum value within that window by comparison.

[0092] Step 4: Sort the multiple extreme value data according to the preset time arrangement rules to obtain the extreme value sorting.

[0093] The time arrangement rule refers to the requirement of arranging the extreme value data corresponding to each window according to the chronological order of their respective windows. This rule is set and stored by the system based on the actual time sequence. Extreme value sorting refers to the sequence formed by arranging the extreme value data corresponding to all windows within a collection period according to the time arrangement rule. Here, the extreme value sorting is obtained by the system arranging the extreme value data extracted from each window according to their chronological order within the collection period.

[0094] Step 5: Output the extreme value data in sequence according to the extreme value sorting and compress the extreme value data according to the preset compression format to obtain the extreme value compressed set.

[0095] A compression format refers to a data encoding and storage format that reduces the size of extreme value data by encoding and simplifying it. The compression format is defined by those skilled in the art based on the numerical and temporal characteristics of the extreme value data, such as lossless data compression encoding. An extreme value compression set is a compressed data set obtained by encoding and compressing time-series extreme value data using a compression format. This extreme value compression set is obtained by the system outputting extreme value data sequentially according to extreme value sorting, and then uniformly encoding and compressing the time-series extreme value data using a compression format to form the extreme value compression set.

[0096] Step 6: After transmitting the extreme value compression set according to the preset transmission scheme, generate and output the cable status diagram based on the extreme value compression set.

[0097] The transmission scheme refers to the overall execution plan for transmitting the extreme value compressed set, including the timing, method, and triggering conditions. This transmission scheme is defined by those skilled in the art based on low power consumption and real-time requirements, specifying the transmission frequency, interface, wireless transmission mode, and triggering conditions, and stored in the system. Specifically, the transmission method for the extreme value compressed set involves the system transmitting the set at low power through the designated transmission interface, according to the transmission frequency and wireless transmission mode, when the transmission triggering conditions set in the transmission scheme are met.

[0098] A cable state diagram is a characteristic map reflecting the change of partial discharge intensity of a cable over time within a data acquisition cycle, based on time-series data reconstructed from extreme value compression sets. The cable state diagram is generated by decompressing the extreme value compression set to obtain time-series extreme value data, and then plotting it with time on the horizontal axis and discharge intensity on the vertical axis to form a visual characteristic map. This cable state diagram includes internal air gap discharge maps, surface discharge maps, corona discharge maps, and metal spike discharge maps, etc. The cable state diagram is output by displaying the generated visual partial discharge characteristic map through a display interface, uploading it to a cloud server via wireless communication, or sending it to an operation and maintenance terminal for display and storage.

[0099] This also includes:

[0100] Step 7: Collect data on the monitoring device area and the power level of the monitoring device.

[0101] The monitoring device area refers to the physical installation location and spatial range of the monitoring device within the cable line. The data for this monitoring device area is acquired by the system through the monitoring device's built-in positioning module or pre-configured and stored geographical location information. The monitoring device power level refers to the current remaining power capacity of the power supply module inside the monitoring device. This power level is acquired by the monitoring device's built-in power monitoring circuit, which reads the voltage, current, or remaining capacity information of the power supply module in real time and converts it into a power value.

[0102] Step 8: When a preset alarm signal is received, analyze the cable status diagram to obtain cable discharge data.

[0103] Alarm signals are abnormal prompts automatically generated and triggered by the system when it detects discharge characteristics in the cable status diagram, abnormal cable leakage, or the power level of the monitoring device falling below a preset threshold. This power threshold is obtained by personnel skilled in the art through experiments on the actual location of the monitoring device to determine the appropriate power alarm threshold, and then input into the system. Cable discharge data refers to characteristic data reflecting the type, intensity, phase, and frequency of partial discharges in the cable. This cable discharge data is obtained by the system identifying and analyzing the pattern morphology, pulse distribution, and amplitude characteristics in the cable status diagram to extract the corresponding discharge type, intensity, phase, and frequency information.

[0104] When an alarm signal is received, it indicates that there is partial discharge, leakage, or insufficient power in the monitoring device. Therefore, the cable status diagram is analyzed to obtain cable discharge data.

[0105] Step 9: If the cable discharge data is not available, search and filter the charging robot number by monitoring the area and power of the monitoring device.

[0106] The charging robot number is a unique identifier for each robot that replenishes the power of the monitoring device. The system searches for and filters charging robot numbers by matching the nearest charging robot that meets the required power replenishment needs based on the location information of the monitoring device's area and the remaining power of the monitoring device, and then obtaining its unique identifier.

[0107] If the cable discharge data is not found, it means that there is no abnormality in the cable. In that case, it can only mean that the power of the monitoring device is insufficient. Therefore, the charging robot number can be found and filtered by the monitoring device area and the power of the monitoring device.

[0108] Step 10: Determine the charging path by monitoring the area of ​​the device and the charging robot number.

[0109] The charging path refers to the optimal route for the charging robot to travel from its current location to the corresponding monitoring device for charging. The charging path is determined by the system calculating and generating the safest route based on the geographical location of the monitoring device area, the current location corresponding to the charging robot's ID, and the road or deployment environment.

[0110] Step 11: Control the charging robot corresponding to the charging robot number to move along the charging path until it reaches the monitoring device area.

[0111] The method of controlling the movement of the charging robot here is to generate corresponding motion control commands for the charging path of the system tool, and send the commands to the corresponding charging robot through a wireless communication protocol. The charging robot uses its own positioning and navigation module to perform autonomous movement using a path planning algorithm, and corrects the deviation in real time until it reaches the monitoring device area.

[0112] Step 12: If cable discharge data exists, locate the corresponding maintenance robot number and maintenance plan through the monitoring device area.

[0113] The maintenance robot number refers to a unique identifier for each maintenance robot used for cable discharge fault repair. The method for finding and filtering these maintenance robot numbers will be explained in the following steps. The maintenance plan refers to the overall execution plan for cable fault repair procedures, operating steps, and handling measures, formulated based on the discharge type and fault severity reflected in the cable discharge data. The method for finding maintenance plans involves personnel in the field matching and binding various cable fault data with solutions and inputting them into the system. When the system receives the maintenance robot number, it matches and invokes the corresponding fault handling procedures and repair measures based on the fault type, discharge intensity, and monitoring device location in the cable discharge data.

[0114] If cable discharge data is present, it indicates that the cable has partial discharge and needs to be repaired as soon as possible. Therefore, the corresponding maintenance robot number and maintenance plan should be found by checking the monitoring device area.

[0115] Step 13: Determine the maintenance path by monitoring the device area and the maintenance robot number.

[0116] The maintenance path refers to the optimal route for the maintenance robot to travel from its current location to the location of the cable fault corresponding to the monitoring device for repair. The maintenance path is determined by the system calculating and generating the safest route based on the geographical location of the monitoring device area, the current location corresponding to the maintenance robot's ID, and the cable layout environment.

[0117] Step 14: Control the maintenance robot corresponding to the maintenance robot number to move along the maintenance path until it reaches the monitoring device area and executes the maintenance plan.

[0118] The method of controlling the movement of the maintenance robot here is the same as the method of controlling the movement of the charging robot described in step 11. The maintenance plan is executed as follows: after the maintenance robot arrives at the monitoring device area, it performs maintenance operations such as discharge defect monitoring, fault location, and insulation repair in sequence according to the cable discharge type and fault location.

[0119] If cable discharge data exists, the method for finding the corresponding maintenance robot number and maintenance plan through the monitoring device area includes:

[0120] Step 120: Analyze the types of cable discharge using the cable status diagram.

[0121] Cable discharge types refer to different partial discharge types distinguished based on the spectral characteristics of the cable state diagram, including internal air gap discharge, surface discharge, corona discharge, and metal spike discharge. The analysis method for cable discharge types here involves the system identifying the phase distribution, pulse shape, and amplitude characteristics of the cable state diagram, matching the corresponding discharge type, and classifying it. For example, the discharge points of internal air gap discharge are usually symmetrically distributed near the peak values ​​of the positive and negative half-cycles of the power frequency voltage, exhibiting a "double-peak" shape, and the distribution is relatively concentrated; the discharge points of surface discharge are widely distributed along the voltage rising and falling edges, with a wider phase distribution range, possibly exhibiting a "rabbit ear" or "volcano" shape, etc.

[0122] Step 121: When the cable discharge type is the preset insulation layer type, calculate the amount of additional coating through the cable status diagram, and determine the coating supplementation area at the same time.

[0123] Insulation layer type refers to the type of partial discharge caused by defects in the cable insulation layer, mainly including internal air gap discharge and surface discharge. The insulation layer type here is determined by those skilled in the art who define the discharge types caused by insulation layer damage, air gaps, and surface degradation as requiring coating repair and input this information into the system.

[0124] The supplementary coating amount refers to the amount of insulation coating material required for cable insulation repair, calculated based on the discharge intensity, discharge range, and degree of insulation defects reflected in the cable condition diagram. The calculation method for the supplementary coating amount involves the system converting the discharge amplitude, distribution phase range, and pulse frequency from the cable condition diagram into defect area and defect depth. Then, based on the standard coating thickness and material usage per unit defect area, the total volume or mass of the supplementary coating is calculated using pre-set formulas, including formulas for calculating the equivalent defect volume, coating usage, and coating volume.

[0125] The coating repair area refers to the specific location and extent where a discharge defect occurs in the cable insulation layer, requiring insulation coating spraying repair. The coating repair area is determined by the system locating and delineating the area of ​​the insulation layer defect based on the discharge location, distribution range, and monitoring device area in the cable condition diagram.

[0126] When the cable discharge type is insulation layer type, it means that the discharge can be prevented or reduced by simply adding a supplementary insulation coating. Therefore, the amount of supplementary coating is calculated by using the cable condition diagram, and the coating supplementation area is determined at the same time.

[0127] Step 122: Find and filter the corresponding maintenance robot number by supplementing the coating amount and monitoring device area, and output it.

[0128] The method for finding and filtering maintenance robot numbers here is that the system matches the nearest maintenance robot that carries sufficient coating material and has insulation coating repair capabilities based on the amount of insulation coating material required for replenishing the coating and the location information of the monitoring device area. The system then obtains and outputs the robot's number so that the system can issue instructions to the robot in the future.

[0129] Step 123: Determine the supplementary coating scheme by supplementing the amount of coating and the area to be supplemented, and define it as the maintenance scheme output.

[0130] A supplementary coating scheme refers to an insulation layer repair execution plan formulated based on the amount and area of ​​supplementary coating, including coating thickness, spraying range, spraying sequence, and repair process. The supplementary coating scheme is determined by the system setting corresponding spraying parameters and construction steps based on the location, area, and amount of supplementary coating, forming a directly executable insulation repair process as the supplementary coating scheme. This is then defined as a maintenance plan output for subsequent instruction of specific maintenance operations to the maintenance robot.

[0131] Step 124: When the cable discharge type is not the insulation type, generate and output a discharge danger signal based on the cable discharge type.

[0132] A discharge hazard signal is a warning signal used to indicate emergency faults and safety hazards. The discharge hazard signal is generated by the system based on the type, intensity, and hazard level of non-insulating layer discharges, producing a signal that includes the fault location, hazard level, and handling suggestions. The discharge hazard signal is output by the system wirelessly transmitting it to maintenance personnel terminals and the backend monitoring platform, and notifying them via audible and visual alerts, text pop-ups, or push notifications.

[0133] This also includes the method for implementing the maintenance plan, which includes:

[0134] Step 1230: Control the maintenance robot corresponding to the maintenance robot number to move according to the maintenance path.

[0135] The method for controlling the movement of the maintenance robot here is the same as the method for controlling the movement of the charging robot described in step 11.

[0136] Step 1231: After the maintenance robot corresponding to the maintenance robot number has moved along the maintenance path, determine the distance difference between the monitoring device area and the coating replenishment area.

[0137] The area distance difference refers to the spatial difference between the monitoring device area currently reached by the maintenance robot and the actual area of ​​the cable requiring coating replenishment. This area distance difference is determined by the system through spatial distance calculation based on the geographical location of the monitoring device area and the coordinate information of the coating replenishment area.

[0138] Step 1232: If the area distance difference falls within the preset ignore distance difference value, control the maintenance robot corresponding to the maintenance robot number to directly execute the maintenance plan according to the amount of additional coating.

[0139] The "ignoring distance difference" refers to the permissible positional deviation within the length of the exposed, workable section of the cable. This "ignoring distance difference" is determined by professionals in the field based on the actual exposed cable length and input into the system. The maintenance procedure involves a maintenance robot directly applying insulation coating and repairing the exposed, workable section of the cable according to the coating replenishment area and amount, thus completing the corresponding maintenance operation.

[0140] Here, the system generates spraying control instructions based on the coating replenishment area and the amount of replenishment coating to control the maintenance robot to execute the maintenance plan. After receiving the instructions, the maintenance robot performs quantitative insulation coating spraying and repair work on the cable defect location according to the spraying process parameters until the repair operation matching the amount of replenishment coating is completed.

[0141] If the distance difference between the regions falls within the negligible distance difference value, it indicates that the partial discharge location of the cable is on the exposed part of the ground. The coating replenishment operation can be performed without adjusting the cable. Therefore, the maintenance robot corresponding to the maintenance robot number is controlled to directly execute the maintenance plan according to the amount of replenishment coating.

[0142] Step 1233: If the regional distance difference falls within the preset redundant distance difference value, calculate the stretching distance based on the redundant distance difference value and the regional distance difference.

[0143] The redundancy distance difference refers to the maximum allowable distance difference corresponding to the redundant length of the cable reserved in the conduit that can be pulled outwards. This redundancy distance difference is determined by professionals in the field based on the actual reserved length of the cable and input into the system. The stretching distance refers to the length required for the maintenance robot to pull the cable outwards from the conduit, moving the discharge defect location to an exposed, workable section. The stretching distance is calculated by the system based on the difference between the redundancy distance difference and the area distance difference, determining the specific length the cable needs to be stretched outwards.

[0144] If the area distance difference falls within the redundant distance difference value, it means that the cable is inside the conduit, but it can be exposed by adjusting and stretching. Therefore, the stretching distance is calculated based on the redundant distance difference and the area distance difference.

[0145] Steps 1234: After the maintenance robot corresponding to the maintenance robot number stretches the cable in the monitoring device area according to the stretching distance, the maintenance plan is executed according to the amount of additional coating.

[0146] The cable is stretched in this way: the system generates a corresponding stretching control command based on the stretching distance and sends it to the maintenance robot. The maintenance robot uses its own cable clamping mechanism to position and clamp the cable, and performs directional stretching operation according to the stretching distance to adjust the exposed workable section of the cable to a suitable maintenance posture. After stretching is completed, the maintenance robot performs insulation coating spraying and repair work on the coating replenishment area according to the replenishment coating amount, and completes the corresponding maintenance operation.

[0147] The implementation methods of the maintenance plan also include:

[0148] Step 1235: If the area distance difference falls within the preset pipeline distance difference value, obtain the scraper entry area corresponding to the monitoring device area.

[0149] The duct distance difference refers to the distance difference between the cable fault location and the exposed workable section and the redundant length that can be pulled out, when the cable enters the duct. This duct distance difference is obtained by those skilled in the art by subtracting the difference between the cable duct layout length and the redundant distance, and then inputting it into the system.

[0150] The scraper entry area refers to the area where the scraper component on the maintenance robot can enter the cable duct to perform maintenance work on the inner wall of the duct or the surface of the cable. The scraper entry area is obtained by having a person skilled in the art input the scraper entry area existing in the monitoring area corresponding to the monitoring device area into the system. The system then searches and analyzes the coating replenishment area to determine if there is a duct that the robot's scraper can enter, thus completing the acquisition.

[0151] If the area distance difference falls into the pipe distance difference value, it means that it is no longer possible to expose the coating replenishment area by pulling. Therefore, the scraper entering the area corresponding to the monitoring device area is obtained.

[0152] Step 1236: When the scraper entry area exists, calculate the scraper entry distance by comparing the scraper entry area with the coating replenishment area.

[0153] The scraper entry distance refers to the path length of the scraper component of the maintenance robot from its starting position in the scraper entry area to the cable coating replenishment area. The scraper entry distance is calculated by the system using spatial distance calculations based on the position information of the scraper entry area and the position information of the coating replenishment area.

[0154] When the scraper enters the area, it means that the robot's scraper can be extended in as a baffle. After repairing the coating replenishment area, the excess coating is removed by the scraper to complete the repair. Therefore, the scraper entry distance is calculated by the scraper entry area and the coating replenishment area.

[0155] Step 1237: Control the maintenance robot corresponding to the maintenance robot number to extend into the scraper according to the scraper entry distance.

[0156] The scraper entry method here is that the system generates a scraper entry command based on the scraper entry distance and sends it to the maintenance robot. The maintenance robot uses its own scraper extension and retraction actuator to extend the scraper into the pipe in a directional manner according to the scraper entry distance.

[0157] Steps 1238: After the scraper reaches the coating replenishment area, execute the maintenance plan according to the amount of coating to be replenished.

[0158] Once the scraper reaches the coating replenishment area, it indicates that the coating replenishment area can be repaired. At this point, the repair plan should be executed according to the amount of coating to be replenished.

[0159] This also includes a method for determining whether to implement a maintenance plan, which includes:

[0160] Steps 1239: Obtain a manual solution.

[0161] Manual solutions refer to manual handling procedures such as on-site maintenance, cable replacement, pipe dredging, or insulation repair, formulated and executed by maintenance personnel. These manual solutions are obtained by personnel in this field through input into the system's existing control terminals.

[0162] Step 1240: Extract the manual repair time from the manual repair plan, and at the same time extract the machine repair time from the repair plan.

[0163] Manual maintenance time refers to the time spent manually repairing abnormal areas of partial discharge in cables. This manual maintenance time is extracted by the system identifying and outputting time-matching keywords within the manual maintenance plan. Machine maintenance time refers to the time spent by a maintenance robot automatically performing coating replenishment and defect repair operations on abnormal areas of partial discharge in cables. This machine maintenance time is extracted by the system identifying and outputting operation time-related parameters from the maintenance plan.

[0164] Step 1241: Compare manual repair time with machine repair time according to the time arrangement rules to obtain the priority repair time.

[0165] Priority repair time refers to the earlier and more suitable time to carry out repair work. The priority repair time is determined by the system comparing the manual repair time and the machine repair time in chronological order, and selecting the earlier repair time.

[0166] Step 1242: When the priority repair time is the manual repair time, replace the repair plan with the manual plan and do not execute the repair plan.

[0167] When the priority repair time is the manual repair time, it means that the staff has already arrived and repaired the cable before the repair robot reaches the coating replenishment area. Therefore, the manual repair plan is replaced with the manual repair plan and the repair plan is not executed.

[0168] Step 1243: When the priority repair time is the machine repair time, control the repair robot corresponding to the repair robot number to execute the repair plan.

[0169] When the priority repair time is the machine repair time, it means that the staff arrives at the area where the cable is abnormal only after the repair robot has repaired the cable. In order to avoid the safety hazard of partial discharge of the cable, the repair robot corresponding to the repair robot number is controlled to execute the repair plan.

[0170] When the priority repair time is the machine repair time, the method for controlling the repair robot corresponding to the repair robot number to execute the repair plan includes:

[0171] Step 12430: Use the cable status diagram to find historical cable diagrams to calculate the cable failure time.

[0172] Historical cable maps refer to historical cable status records from different points in time prior to this monitoring. These historical cable maps are obtained by storing each cable status map and then, based on the current cable identifier, searching for the corresponding cable status map set generated within previous monitoring periods. Cable damage time refers to the point in time when the cable transitions from discharge to leakage, resulting in damage. This time is calculated by comparing the current cable status map with historical cable maps to determine the trends in discharge characteristics and insulation defects, thus identifying the point in time when the cable transitions to leakage damage.

[0173] Step 12431: When the manual repair time falls within the cable damage time, replace the manual repair plan with the repair plan and do not execute the repair plan.

[0174] If the manual repair time falls within the cable damage time, it means that the staff will repair the cable section before it is damaged, so there is no need to worry about cable damage. Therefore, the manual repair plan will be replaced with the manual repair plan and the manual repair plan will not be implemented.

[0175] Step 12432: If the manual maintenance time does not fall within the cable damage time, calculate the coating requirement based on the manual maintenance time and the cable condition diagram.

[0176] The coating requirement refers to the amount of insulation coating needed to prevent further discharge in areas of partial discharge on the cable until maintenance personnel arrive. This coating requirement is calculated by the system based on the time interval between manual maintenance and cable damage, the discharge intensity in the cable condition diagram, and the defect development rate. The calculation determines the amount of insulation coating required to suppress further deterioration of cable insulation defects and prevent escalation of discharge before maintenance personnel arrive.

[0177] If the manual repair time does not fall within the cable damage time, it means that the cable will change from partial discharge to leakage before the staff goes to repair it. Therefore, in order to avoid safety hazards caused by cable leakage, the coating requirement is calculated by combining the manual repair time with the cable condition diagram.

[0178] Step 12433: If the coating requirement is greater than the amount of additional coating, control the maintenance robot corresponding to the maintenance robot number to execute the maintenance plan according to the coating requirement.

[0179] If the required amount of coating exceeds the amount of additional coating, it means that the initial amount of additional coating is insufficient to support the arrival of personnel. It is only a preliminary and simple addition of insulation coating to the cable. Therefore, the maintenance robot corresponding to the maintenance robot number is controlled to execute the maintenance plan according to the required amount of coating.

[0180] Step 12434: If the required amount of coating is less than the amount of additional coating, control the maintenance robot corresponding to the maintenance robot number to directly execute the maintenance plan according to the amount of additional coating.

[0181] If the required amount of coating is less than the amount of additional coating, it means that the amount of additional coating can effectively protect the cable and maintain its safety. Therefore, the maintenance robot corresponding to the maintenance robot number should directly execute the maintenance plan according to the amount of additional coating.

[0182] This also includes a method for obtaining an extreme value compression set when the charging robot number does not exist, the method comprising:

[0183] Step 90: Output the extreme value data in sequence according to the extreme value sorting and compare it with the preset standard data to obtain the discharge extreme value data.

[0184] Standard data refers to reference threshold data for judging whether the discharge is abnormal. This standard data is determined by staff based on the cable model, using fundamental calibration values. The final standard data is then obtained through experiments conducted according to the operating environment and monitoring requirements and input into the system. Discharge extreme value data refers to the maximum absolute value of the pulse signal among the cable parameters when partial discharge exists. This discharge extreme value data is obtained by first sorting the extreme values ​​by size and outputting them sequentially. Then, each extreme value is compared with the standard data, and the maximum absolute value of the pulse signal exceeding the standard data, indicating partial discharge in the cable, is selected.

[0185] Step 91: If the discharge extreme value data does not exist, do not compress the extreme value data according to the compression format.

[0186] If the extreme value data is not available, it means that the data obtained in this monitoring cycle indicates that there is no partial discharge in the cable. In order to save power consumption, the extreme value data is not compressed according to the compression format.

[0187] Step 92: If discharge extreme value data exists, output the extreme value data in sequence according to the extreme value sorting and compress the extreme value data according to the compression format to obtain the extreme value compressed set.

[0188] If the discharge value data exists, it indicates that the cable has partial discharge during this monitoring cycle. In order to carry out subsequent maintenance as soon as possible, the extreme value data is output in sequence according to the extreme value sorting and compressed according to the compression format to obtain the extreme value compressed set.

[0189] This includes a method for outputting extreme value data sequentially according to extreme value sorting and compressing the extreme value data according to a compression format to obtain an extreme value compressed set when the discharge extreme value data does not exist. This method includes:

[0190] Step 920: Collect the extreme value time corresponding to the extreme value data.

[0191] Extreme value time refers to the specific point in time when the pulse signal corresponding to the extreme value data appears, is acquired, or is generated. Here, the extreme value time is acquired by the system simultaneously recording the timestamp corresponding to the extreme value data while acquiring the extreme value data.

[0192] Step 921: Analyze cable discharge time using multiple historical cable diagrams.

[0193] Cable discharge time refers to the time point in the future when a cable will first experience partial discharge from its current normal state, obtained by analyzing and predicting the state trends of multiple historical cable diagrams. The analysis method for cable discharge time involves the system establishing a trend prediction model based on the changing patterns of insulation performance and operating parameters in historical cable diagrams to estimate the time when partial discharge will occur in the future.

[0194] Step 922: Determine the time range of the same day based on the extreme value time and the preset same-day rule.

[0195] The "same-day rule" refers to a rule that uses the calendar day containing the extreme value time as a baseline to define the time range from 00:00 to 24:00 on that day as the same time. This same-day rule is determined in advance by those skilled in the art based on the same-day time and then input into the system. The same-day time range refers to the time interval from 00:00 to 24:00 on that day, determined based on the calendar day containing the extreme value time. This same-day time range is determined by the system locating the calendar day to which the extreme value time belongs, and then dividing the same-day time range according to the same-day rule.

[0196] Step 923: When the cable discharge time falls within the same day's time range, output the extreme value data in sequence according to the extreme value sorting and compress the extreme value data according to the compression format to obtain the extreme value compressed set.

[0197] When the cable discharge time falls within the same day's time range, it indicates that even if the data obtained from this monitoring does not show partial discharge in the cable, partial discharge will occur in subsequent monitoring on the same day. Therefore, the extreme value data is output sequentially according to the extreme value sorting and compressed according to the compression format to obtain the extreme value compressed set.

[0198] Step 924: Do not compress extreme value data when the cable discharge time does not fall within the same day's time range.

[0199] If the cable discharge time does not fall within the same day's time range, it means that the cable will not discharge on that day. Therefore, in order to save power consumption, the extreme value data is not compressed at this time.

[0200] Based on the same inventive concept, embodiments of the present invention provide a low-power edge computing data compression and transmission system.

[0201] One example is a low-power edge computing data compression and transmission system, comprising:

[0202] The acquisition module is used to acquire cable parameters, acquisition time, monitoring device area, monitoring device power, manual scheme and extreme value time;

[0203] A memory for storing a program for a low-power edge computing data compression and transmission method;

[0204] The processor loads and executes programs from memory.

[0205] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0206] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A low-power edge computing data compression and transmission method, characterized in that, include: Step 1: Collect cable parameters and accumulate the collection time simultaneously; Step 2: When the acquisition time reaches the preset acquisition cycle time, the cable parameters are divided according to the preset data windowing rules to obtain windowed data; Step 3: Analyze the windowed data to extract the corresponding extreme value data; Step 4: Sort the multiple extreme value data according to the preset time sorting rules to obtain the extreme value sorting; Step 5: Output the extreme value data in sequence according to the extreme value sorting and compress the extreme value data according to the preset compression format to obtain the extreme value compressed set; Step 6: After transmitting the extreme value compression set according to the preset transmission scheme, generate and output the cable status diagram based on the extreme value compression set.

2. The low-power edge computing data compression and transmission method according to claim 1, characterized in that, Also includes: Step 7: Collect data on the monitoring device area and the power level of the monitoring device; Step 8: When a preset alarm signal is received, analyze the cable status diagram to obtain cable discharge data; Step 9: If cable discharge data is not available, search and filter the charging robot number by monitoring the monitoring device area and monitoring device power. Step 10: Determine the charging path by monitoring the area of ​​the device and the charging robot number; Step 11: Control the charging robot corresponding to the charging robot number to move along the charging path until it reaches the monitoring device area; Step 12: If cable discharge data exists, locate the corresponding maintenance robot number and maintenance plan through the monitoring device area; Step 13: Determine the maintenance path by monitoring the device area and the maintenance robot number; Step 14: Control the maintenance robot corresponding to the maintenance robot number to move along the maintenance path until it reaches the monitoring device area and executes the maintenance plan.

3. The low-power edge computing data compression and transmission method according to claim 2, characterized in that, If cable discharge data exists, the methods for finding the corresponding maintenance robot number and maintenance plan through the monitoring device area include: Step 120: Analyze the types of cable discharge using the cable status diagram; Step 121: When the cable discharge type is the preset insulation layer type, calculate the amount of additional coating through the cable condition diagram, and determine the coating supplementation area at the same time; Step 122: Find and filter the corresponding maintenance robot number by supplementing the coating amount and monitoring device area, and output it; Step 123: Determine the supplementary coating scheme by supplementing the amount of coating and the area to be supplemented, and define it as the maintenance scheme output; Step 124: When the cable discharge type is not the insulation type, generate and output a discharge danger signal based on the cable discharge type.

4. The low-power edge computing data compression and transmission method according to claim 3, characterized in that, It also includes the method for implementing the maintenance plan, which includes: Step 1230: Control the maintenance robot corresponding to the maintenance robot number to move according to the maintenance path; Step 1231: After the maintenance robot corresponding to the maintenance robot number has moved along the maintenance path, determine the area distance difference based on the monitoring device area and the coating replenishment area; Step 1232: If the area distance difference falls within the preset ignore distance difference value, control the maintenance robot corresponding to the maintenance robot number to directly execute the maintenance plan according to the amount of additional coating; Step 1233: If the regional distance difference falls within the preset redundant distance difference value, calculate the stretching distance based on the redundant distance difference value and the regional distance difference; Steps 1234: After the maintenance robot corresponding to the maintenance robot number stretches the cable in the monitoring device area according to the stretching distance, the maintenance plan is executed according to the amount of additional coating.

5. The low-power edge computing data compression and transmission method according to claim 4, characterized in that, The methods for implementing the maintenance plan also include: Step 1235: If the area distance difference falls within the preset pipeline distance difference value, obtain the scraper entry area corresponding to the monitoring device area; Step 1236: When the scraper entry area exists, calculate the scraper entry distance by comparing the scraper entry area and the coating replenishment area; Step 1237: Control the maintenance robot corresponding to the maintenance robot number to extend into the scraper according to the scraper entry distance; Steps 1238: After the scraper reaches the coating replenishment area, execute the maintenance plan according to the amount of coating to be replenished.

6. The low-power edge computing data compression and transmission method according to claim 3, characterized in that, It also includes a method for determining whether to implement a maintenance plan, which includes: Steps 1239: Obtain a manual solution; Step 1240: Extract the manual repair time from the manual repair plan, and at the same time extract the machine repair time from the repair plan; Step 1241: Compare manual repair time with machine repair time according to the time sorting rules to obtain the priority repair time; Step 1242: When the priority repair time is the manual repair time, replace the repair plan with the manual repair plan and do not execute the repair plan; Step 1243: When the priority repair time is the machine repair time, control the repair robot corresponding to the repair robot number to execute the repair plan.

7. The low-power edge computing data compression and transmission method according to claim 6, characterized in that, When the priority repair time is the machine repair time, the methods for controlling the repair robot corresponding to the repair robot number to execute the repair plan include: Step 12430: Use the cable status diagram to find historical cable diagrams to calculate the cable failure time; Step 12431: If the manual repair time falls within the cable damage time, replace the manual repair plan with the manual repair plan and do not execute the manual repair plan; Step 12432: If the manual maintenance time does not fall within the cable damage time, calculate the coating requirement based on the manual maintenance time and the cable condition diagram; Step 12433: If the coating requirement is greater than the amount of additional coating, control the maintenance robot corresponding to the maintenance robot number to execute the maintenance plan according to the coating requirement; Step 12434: If the required amount of coating is less than the amount of additional coating, control the maintenance robot corresponding to the maintenance robot number to directly execute the maintenance plan according to the amount of additional coating.

8. The low-power edge computing data compression and transmission method according to claim 7, characterized in that, It also includes a method for obtaining an extreme value compression set when the charging robot number does not exist, the method comprising: Step 90: Output the extreme value data in sequence according to the extreme value sorting and compare it with the preset standard data to obtain the discharge extreme value data; Step 91: If the discharge extreme value data does not exist, do not compress the extreme value data according to the compression format; Step 92: If discharge extreme value data exists, output the extreme value data in sequence according to the extreme value sorting and compress the extreme value data according to the compression format to obtain the extreme value compressed set.

9. The low-power edge computing data compression and transmission method according to claim 8, characterized in that, It also includes a method for outputting extreme value data sequentially according to the extreme value sorting and compressing the extreme value data according to the compression format to obtain an extreme value compressed set when the discharge extreme value data does not exist. This method includes: Step 920: Collect the extreme value time corresponding to the extreme value data; Step 921: Analyze cable discharge time using multiple historical cable diagrams; Step 922: Determine the time range of the same day based on the extreme value time and the preset same-day rules; Step 923: When the cable discharge time falls within the same day's time range, output the extreme value data in sequence according to the extreme value sorting and compress the extreme value data according to the compression format to obtain the extreme value compressed set; Step 924: Do not compress extreme value data when the cable discharge time does not fall within the same day's time range.

10. A low-power edge computing data compression and transmission system, characterized in that, include: The acquisition module is used to acquire cable parameters, acquisition time, monitoring device area, monitoring device power, manual scheme and extreme value time; A memory for storing a program for a low-power edge computing data compression and transmission method as described in any one of claims 1 to 9; The processor loads and executes programs from memory.

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