Method and system for adaptive configuration of working condition inspection period of wireless public network power distribution terminal

Abstract

This invention discloses an adaptive configuration method and system for the operating condition inspection cycle of wireless public network power distribution terminals. The method involves acquiring relevant information about wireless public network power distribution terminals already in operation within the current power distribution network automation system; obtaining detailed records of the operational condition activation and deactivation of these terminals within a preset time period, and statistically analyzing these records to obtain terminal operational condition activation / deactivation information for each terminal in each natural time period; performing multi-dimensional statistical analysis on this operational condition activation / deactivation information to derive the terminal operating condition inspection cycle under both unrestricted and restricted multi-dimensional combinations of conditions in each natural time period; adaptively configuring the operating condition inspection cycle based on the monitored natural time of operational condition deactivation, and correcting the operating condition inspection cycle based on the actual terminal operational condition activation / deactivation time. Advantages: Dynamically configuring a suitable operating condition inspection cycle according to natural time improves the real-time performance of operational condition determination, thereby enhancing the real-time effectiveness of the three-remote functions of the power distribution terminal and the success rate of power distribution line fault self-healing.

Description

Technical Field

[0001] This invention relates to an adaptive configuration method and system for the operating condition inspection cycle of a wireless public network power distribution terminal, belonging to the field of power distribution network automation technology. Background Technology

[0002] With the rapid development and application of new technologies such as low-voltage distribution network automation and ubiquitous power Internet of Things, the use of wireless public networks for data communication in distribution network monitoring systems is becoming increasingly common. As the backbone and support of distribution network automation systems, the normal operation of distribution automation terminals is crucial. Only when distribution terminals are in working condition can data collection and analysis of the distribution network be realized, thereby achieving functions such as distribution network operation monitoring, automatic fault isolation, and remote equipment operation, ultimately reducing power outage time and improving the reliability of power supply in the distribution network.

[0003] With the increasingly widespread application of wireless public network power distribution terminals in engineering projects, the problems of frequent offline and unstable operation condition deactivation cycles are becoming more and more prominent due to the influence of factors such as the natural environment, building environment, and real-time network conditions of the power distribution terminals. The operation condition inspection cycle is directly related to the determination of the real-time status of the power distribution terminal, and indirectly affects the real-time effectiveness of the three remote functions of the power distribution terminal, the success rate of power line fault self-healing, and the transformation of operation mode. Therefore, it is urgent to configure an appropriate operation condition inspection cycle according to the characteristics of the terminal's region, natural environment, building environment, network standard, etc., and improve the real-time performance of operation condition determination. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the defects of the prior art and provide an adaptive configuration method and system for the working condition inspection cycle of a wireless public network power distribution terminal.

[0005] To address the aforementioned technical problems, this invention provides an adaptive configuration method for the operating condition inspection cycle of a wireless public network power distribution terminal, comprising:

[0006] Obtain relevant information about the wireless public network distribution terminals that have been put into operation in the current distribution network automation system. The relevant information includes: basic information and channel information.

[0007] Obtain detailed records of the commissioning and decommissioning of terminals that have been put into operation within a preset time period. Based on the detailed records, statistical analysis is performed to obtain the terminal commissioning and decommissioning information for each terminal in each natural time period within the preset time period.

[0008] By combining relevant information of the wireless public network power distribution terminal, multidimensional statistical analysis is performed on the aforementioned working condition deactivation information to obtain the terminal working condition inspection cycle under unrestricted conditions and under restricted multidimensional combination conditions in each natural time period.

[0009] Based on the monitored natural time of the exit from the working condition and the terminal working condition check cycle under the unrestricted conditions and the limited multi-dimensional combination conditions in each natural time period, the working condition check cycle is adaptively configured, and the working condition check cycle is corrected according to the actual terminal working condition exit and commissioning time.

[0010] Furthermore, the basic information includes: manufacturer, terminal type, power supply method of communication module, natural environment of the region, building environment, and commissioning start time;

[0011] The channel information includes: network standard, operator, network communication method, and power protocol type.

[0012] Furthermore, the detailed records of the commissioning and decommissioning of terminals already in operation within a preset time period are obtained, and the terminal commissioning and decommissioning information for each terminal in each natural time period is obtained through statistical analysis based on the detailed records, including:

[0013] Obtain detailed records of the commissioning and decommissioning status of all wireless public network power distribution terminals in operation within a preset time period;

[0014] Based on detailed records and statistical analysis of the operational status of each terminal, including the time of exit and the time of re-entry of each terminal's operational status, the time consumed in the operation of the terminal is calculated based on the time of exit and re-entry of each terminal's operational status.

[0015] Statistical analysis of the downtime of the operating condition is used to divide the downtime range of the terminal operating condition. The downtime range is a time range within a pre-set operating condition.

[0016] Based on the natural time period in which each terminal's working condition exits, the time range of each terminal's working condition exit is statistically analyzed, and the number of times each terminal's working condition exit time falls within each time range in each natural time period is counted.

[0017] Furthermore, by combining relevant information from the wireless public network power distribution terminal, multi-dimensional statistical analysis is performed on the operational condition deactivation information to derive the terminal operational condition inspection cycle under both unrestricted and restricted multi-dimensional combination conditions in each natural time period, including:

[0018] Based on the number of times each terminal hits each time range in the working condition withdrawal and commissioning time within each natural time period, calculate the probability of each terminal hitting each time range in the working condition withdrawal and commissioning time within each natural time period, and select the upper limit of the time range with the higher probability as the working condition inspection cycle of each terminal under the unrestricted conditions in each natural time period.

[0019] The number of times the working condition withdrawal time hits each time range in each natural time period under each combination of conditions is counted. The probability of each terminal hitting each time range in each natural time period under each combination of conditions is calculated, and the working condition check cycle of the terminal in each natural time period under each combination of conditions is obtained.

[0020] Furthermore, the terminal operating condition check cycle under both unrestricted and restricted multi-dimensional combination conditions in each natural time period is written into the configuration file.

[0021] Furthermore, the adaptive configuration of the operating condition check cycle based on the monitored natural time of operating condition exit and the terminal operating condition check cycle under unrestricted conditions and restricted multi-dimensional combinations in each natural time period, and the correction of the operating condition check cycle based on the actual terminal operating condition exit time, includes:

[0022] Read the configuration file into memory;

[0023] For terminals that are about to be put into operation, the corresponding inspection cycle is obtained from memory based on the basic information and channel information of the terminals to be put into operation as the initial inspection cycle of the terminal's working condition after commissioning.

[0024] For terminals that have been put into operation, whenever a terminal is detected to have exited its operating condition, the corresponding operating condition check cycle is retrieved from memory based on the terminal number and the natural time of the exit, and then configured as the check cycle for this exit.

[0025] When a terminal that was out of monitoring mode is put back into monitoring mode, the time of its put-back is recorded, and the time taken for this operation to be put back into monitoring mode is calculated. If the deviation between this time taken and the current configured inspection cycle is within a preset reasonable range, the time of terminal operation to be put back into monitoring mode, the time taken for terminal operation to be put back into monitoring mode, and the time taken for this operation to be put back into monitoring mode are written into memory.

[0026] When the trigger condition for recalculating the terminal condition check cycle is met, the recalculated result is updated and written to memory as the next condition check cycle.

[0027] Furthermore, the trigger condition for recalculating the terminal operating condition check cycle is that the number of times or the time since the last calculation of the operating condition check cycle has reached a set value.

[0028] An adaptive configuration system for the operating condition inspection cycle of a wireless public network power distribution terminal includes:

[0029] The information reading module is used to obtain relevant information of the wireless public network distribution terminals that have been put into operation in the current distribution network automation system. The relevant information includes: basic information and channel information.

[0030] The statistical analysis module is used to obtain detailed records of the operational status of the terminals that have been put into operation within a preset time period. Based on the detailed records, the module statistically analyzes and obtains the terminal operational status commissioning and decommissioning information for each terminal in each natural time period. Combined with the relevant information of the wireless public network power distribution terminal, the module performs multi-dimensional statistical analysis on the operational status commissioning and decommissioning information to obtain the terminal operational status inspection cycle under both unrestricted and restricted multi-dimensional combination conditions in each natural time period.

[0031] The adaptive module is used to adaptively configure the operating condition check cycle based on the natural time of the monitored operating condition exit and the terminal operating condition check cycle under the unrestricted conditions and the limited multi-dimensional combination conditions in each natural time period, and to correct the operating condition check cycle according to the actual terminal operating condition exit time.

[0032] A computer-readable storage medium storing one or more programs, said one or more programs including instructions that, when executed by a computing device, cause the computing device to perform any of the methods described.

[0033] A computing device, comprising,

[0034] One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for performing any of the methods described.

[0035] The beneficial effects achieved by this invention are as follows:

[0036] This invention addresses the problems of frequent offline operations and unstable operation condition deactivation cycles exposed by power distribution terminals due to factors such as the natural environment, building environment, and real-time network conditions. Based on the characteristics of the terminal, it dynamically configures an appropriate operation condition inspection cycle according to natural time, improves the real-time performance of operation condition judgment, and thus enhances the real-time effectiveness of the three remote functions of the power distribution terminal and the success rate of power distribution line fault self-healing. Attached Figure Description

[0037] Figure 1 This is a flowchart illustrating the present invention. Detailed Implementation

[0038] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0039] As shown in the figure, an adaptive configuration method for the operating condition inspection cycle of a wireless public network power distribution terminal includes the following steps:

[0040] Step 1: Obtain relevant information on the wireless public network distribution terminals that are already in operation in the current distribution network automation system;

[0041] Specifically:

[0042] (1) A commercial database or real-time database that connects to the power distribution automation system;

[0043] (2) Read the terminal information table to obtain the basic information of the wireless public network power distribution terminal, such as: manufacturer, terminal type (DTU, FTU, TTU, etc.), power supply method of communication module (solar energy, battery, etc.), natural environment of the area (mountainous area, plain, forest, etc.), building environment (indoor, outdoor, floor, etc.), commissioning start time, etc.

[0044] (3) Read the channel information table to obtain the channel information of the wireless public network power distribution terminal, such as: network standard (2G, 3G, 4G, etc.), operator (China Mobile, China Unicom, China Telecom), network communication method (TCP client, TCP service, UDP service, etc.), power protocol type (IEC104, unbalanced IEC101, balanced IEC101, etc.).

[0045] Step 2: Statistically analyze the total number of times each wireless public network distribution terminal in the current distribution network automation system is put into operation over a specified long period (e.g., 1 month, 6 months), including the time of each terminal's deactivation and reactivation. Calculate the time consumed from each terminal's deactivation to reactivation. Based on this, further statistical analysis is performed to determine the number of times each terminal's operation deactivation / reactivation time falls within each time range in various natural time periods. The time range refers to, for example, terminals manufactured by plant A operating in area R. There are 10 AJ terminals. The statistical analysis period is set from 8:00 to 9:00. The working condition check cycles are as follows: Terminal A was switched off twice during this period, at 110 seconds and 125 seconds; Terminal B was switched off five times during this period, at 120 seconds, 100 seconds, 105 seconds, 70 seconds, and 125 seconds; Terminal C was switched off once during this period, at 130 seconds; Terminal D was switched off three times during this period, at 80 seconds, 90 seconds, and 70 seconds; Terminal E was switched off during this period... The operating condition was deactivated 6 times, at 60 seconds, 30 seconds, 50 seconds, 40 seconds, 60 seconds, and 69 seconds respectively; ...; Terminal i deactivated the operating condition twice during this time period, at 200 seconds and 220 seconds respectively; Terminal j deactivated the operating condition once during this time period, at 215 seconds; Taking Terminal b as an example, during the time period from 8:00 to 9:00, Terminal b deactivated 5 times, with the time ranges divided into 0-30 seconds, 30-60 seconds, 60-90 seconds, 90-120 seconds, and 120-150 seconds. Therefore, Terminal b experienced operating condition deactivation during the 8:00-9:00 time period. When the device was first deployed, the number of times it was deployed again within the 0-30 second range was 0, the number of times it was deployed within the 30-60 second range was 0, the number of times it was deployed within the 60-90 second range was 1, the number of times it was deployed within the 90-120 second range was 3, and the number of times it was deployed within the 120-150 second range was 1. The probability of deployment was then calculated. Using the same statistical method, the deployment time of the 10 terminals produced by Factory A and operating in the R region was calculated for other natural time periods such as 9-10, 11-12, ..., 20-21.

[0046] Specifically:

[0047] (1) Read the terminal status alarm table in the commercial database or real-time database of the distribution network automation system, or view the log of the terminal status processing program, and filter out the detailed records of the status activation and deactivation of all wireless public network distribution terminals in operation within the specified time period.

[0048] (2) Using a script or high-level programming language, with the terminal number as the search keyword, according to the time consumption statistics of all working conditions of a certain terminal in Table 1, the detailed records of working condition input and output obtained in (1) are statistically analyzed to obtain the total number of working condition input and output of each terminal within the specified time period, the exit time of each terminal working condition, and the re-input time.

[0049] Table 1

[0050]

[0051] (3) Based on the exit time and re-entry time of each terminal working condition obtained in (2), calculate the time taken from exiting to re-entering each terminal working condition (hereinafter referred to as terminal working condition exit and re-entry time).

[0052] (4) Statistically analyze the downtime of all terminals obtained in (3) and divide the downtime range of terminal operating conditions (e.g., 0-30 seconds, 30-90 seconds, 90-120 seconds, 120-180 seconds, 180-300 seconds, 300-600 seconds, more than 600 seconds, etc.).

[0053] (5) Based on the natural time period (e.g., 0-7, 7-12, 12-16, 16-19, 19-21, 21-24) of each terminal working condition exit time obtained from (2), according to the statistics of the number of times the working condition exit time of a certain terminal hits each time range as shown in Table 2, the range of (4) divided by each terminal working condition exit time obtained from (3) is statistically analyzed to obtain the number of times the working condition exit time of each terminal hits each time range in each natural time period;

[0054] Table 2

[0055]

[0056]

[0057] Step 3: Combining the power distribution terminal information obtained in Step 1, perform multi-dimensional statistical analysis on the number of times each terminal's operation condition deactivation time hits each time range in each natural time period, as determined in Step 2. This yields the terminal operation condition inspection cycle under both unrestricted and multi-dimensional combinations of conditions, including restrictions on manufacturer, region, terminal type, and network standard. "Unrestricted conditions" means that the terminal's operation condition inspection cycle in each natural time period is obtained without filtering conditions such as the terminal's region or manufacturer. "Restricted multi-dimensional combinations" means, for example, that terminal a manufactured by factory A and operating in region R has an operation condition inspection cycle of 110 seconds between 8:00 and 9:00; terminal b manufactured by factory A and operating in region X has an operation condition inspection cycle of 120 seconds between 8:00 and 9:00; and terminal c manufactured by factory A and operating in region R has an operation condition inspection cycle of 130 seconds between 8:00 and 9:00. Therefore, the operation condition inspection cycle for terminals manufactured by factory A and operating in region R during the natural time period of 8:00 and 9:00 is (110 + 120 + 130) / 3 = 120 seconds.

[0058] Specifically:

[0059] (1) Based on the number of times each terminal hits each time range in the working condition withdrawal time in each natural time period obtained in step 2, according to the probability formula, the probability of each terminal hitting each time range in the working condition withdrawal time in each natural time period is calculated. According to the law of large numbers, the upper limit of the time range with a large probability is selected as the working condition check cycle of the terminal in the natural time period. As shown in Table 3, the probability of a terminal hitting each time range in the working condition withdrawal time in a certain natural time period is as follows: when the terminal working condition is withdrawn at time tx to ty, the probability of the terminal working condition being put back into operation hitting the 120-180 second range is the highest. Therefore, it is more reasonable to take 180 seconds as the working condition check cycle of the terminal in the time period.

[0060] Table 3

[0061]

[0062]

[0063] (2) Based on the number of times each terminal hits each time range in the working condition withdrawal time in each natural time period obtained in step 2, according to the format shown in Table 2, count the number of times all terminals of the limited manufacturer hit each time range in the working condition withdrawal time in each natural time period.

[0064] (3) Based on the number of times the working condition withdrawal time of all terminals of the limited manufacturers obtained in (2) hit each time range in each natural time period, according to the format shown in Table 2, the number of times the working condition withdrawal time of all terminals under the superimposed regional limitation conditions hit each time range in each natural time period.

[0065] (4) Based on the number of times the working condition withdrawal time of all terminals in each natural time period hit each time range in the simultaneous limiting manufacturer and the region obtained in (3), according to the format shown in Table 2, the number of times the working condition withdrawal time of all terminals in each natural time period hit each time range under the superimposed network standard limiting condition is counted.

[0066] (5) Based on the number of times the working condition withdrawal time of all terminals with the same manufacturer, region and network type determined in (4) hit each time range in each natural time period, according to the format shown in Table 2, the number of times the working condition withdrawal time of all terminals with other constraints hit each time range in each natural time period is calculated.

[0067] (6) Based on the number of times the working condition withdrawal time hits each time range in each natural time period under each combination of conditions (2), (3), (4), (5), calculate the total number of times participating in terminal working condition statistics in each natural time period. According to the format shown in Table 3, refer to (1) to calculate the probability that the working condition withdrawal time of the terminal hits each time range in each natural time period under each combination of conditions (2), (3), (4), (5).

[0068] (7) Combined with the probability of the terminal in each natural time period hitting the time range of the working condition withdrawal time under each combination of conditions obtained in (6), refer to (1) to select the upper limit of the time range with a large probability as the working condition check cycle of the terminal in the natural time period under the combination of conditions.

[0069] Step 4: Write the terminal's operating condition check cycle for each natural time period, obtained in Step 3 under both unrestricted and multi-dimensional combined restriction conditions, into the relevant configuration files.

[0070] Table 4

[0071]

[0072] Specifically:

[0073] (1) Write the working condition check cycle of each terminal in each natural time period obtained in step 3 into the configuration file CF1 according to the format of the working condition check cycle of the terminal in each natural time period in Table 4.

[0074] (2) Write the working condition inspection cycle of the terminal of the limited manufacturer obtained in step 3 in each natural time period into the configuration file CF2 according to the format of the working condition inspection cycle of the terminal of each manufacturer in each natural time period in Table 5.

[0075] Table 5

[0076]

[0077] (3) Write the working condition check cycle of the terminal in the limited area obtained in step 3 within each natural time period into the configuration file CF3, referring to the format of Table 5.

[0078] (4) Write the working condition check cycle of the terminal with the limited network type obtained in step 3 into the configuration file CF4 in each natural time period, referring to the format of Table 5.

[0079] (5) The working condition check cycle of the terminal with the combination of limited manufacturer, region and network type obtained in step 3 in each natural time period is written into the configuration file CFn according to the format of Table 5.

[0080] Step 5: Read the configuration file generated in Step 4 into memory. Whenever a terminal condition exits, configure the corresponding condition check cycle according to the natural time of the condition exit. When the terminal condition is put back into operation, record the time of its entry and calculate the time consumed for this condition exit and entry. Referring to Steps 2 and 3, continuously adjust the check cycle so that the terminal condition check cycle configuration adapts to time.

[0081] Specifically:

[0082] (1) Read the configuration files for the terminal condition check cycle without limiting conditions and with multi-dimensional combination limiting conditions generated in step 4 into memory respectively;

[0083] (2) For terminals that are about to be put into operation, the corresponding inspection cycle can be obtained from the memory in (1) based on the characteristics of the manufacturer, the region, the network standard, etc., as the initial inspection cycle of the terminal after commissioning.

[0084] (3) For terminals that have been put into operation, whenever a terminal is detected to be out of operation, the corresponding operation check cycle is obtained from the memory in (1) according to the terminal number and the natural time of the operation exit, and it is configured as the check cycle for this operation exit.

[0085] (4) When the terminal in (3) exits its working condition, record the time of its entry into the working condition and calculate the time consumed for exiting and entering the working condition. If the deviation between the current time consumed and the current configured inspection cycle is within a reasonable range (e.g., 5%), write the terminal's exit time, entry time, and exit time into memory according to the format of Table 1.

[0086] (5) Determine whether the conditions for recalculating the terminal condition check cycle have been met, such as: since the last calculation of the condition check cycle, the number of times the terminal has been withdrawn has reached 10, and the time has reached 12 hours.

[0087] (6) Referring to steps 2-3, recalculate the terminal condition check cycle and update the result in the memory in (1);

[0088] (7) Through the continuous iteration of (2) to (6), the terminal condition inspection cycle can be continuously corrected, thereby realizing the terminal condition inspection cycle configuration adapts to time.

[0089] The method of this invention effectively alleviates the problem of unstable power distribution terminal operation condition turnaround time and improves the real-time performance of operation condition determination.

[0090] Accordingly, the present invention also provides an adaptive configuration system for the operating condition inspection cycle of a wireless public network power distribution terminal, comprising:

[0091] The information reading module is used to obtain relevant information of the wireless public network distribution terminals that have been put into operation in the current distribution network automation system. The relevant information includes: basic information and channel information.

[0092] The statistical analysis module is used to obtain detailed records of the operational status of the terminals already in operation within a preset time period. Based on these detailed records, statistical analysis is performed to derive the operational status commissioning and decommissioning information for each terminal in each natural time period. Combining this with relevant information from the wireless public network power distribution terminals, multi-dimensional statistical analysis is conducted on the operational status commissioning and decommissioning information to derive the terminal operational status inspection cycle under both unrestricted and restricted multi-dimensional combinations of conditions in each natural time period. The preset time period refers to, for example, from a certain date last year to a certain date this year, with the start and end times of the preset time period, which can span years and months. A natural time period refers to, for example, if the preset time period lasts for X days, then each of these X days has a 1-hour natural time period from 0:00 to 1:00, a 1-hour natural time period from 1:00 to 2:00, a 1-hour natural time period from 2:00 to 3:00, ..., a 1-hour natural time period from 22:00 to 23:00, and a 1-hour natural time period from 23:00 to 24:00. The interval granularity of the natural time periods over X days can be divided into 1-hour, 2-hour, or 30-minute intervals.

[0093] The adaptive module is used to adaptively configure the operating condition check cycle based on the natural time of the monitored operating condition exit and the terminal operating condition check cycle under the unrestricted conditions and the limited multi-dimensional combination conditions in each natural time period, and to correct the operating condition check cycle according to the actual terminal operating condition exit time.

[0094] Accordingly, the present invention also provides a computer-readable storage medium for storing one or more programs, said one or more programs including instructions that, when executed by a computing device, cause the computing device to perform any of the methods described.

[0095] Accordingly, the present invention also provides a computing device, comprising,

[0096] One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for performing any of the methods described.

[0097] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0099] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0100] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0101] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A wireless public network power distribution terminal working condition check period adaptive configuration method, characterized in that, include: Obtain relevant information about the wireless public network distribution terminals that have been put into operation in the current distribution network automation system. The relevant information includes: basic information and channel information. Obtain detailed records of the commissioning and decommissioning of terminals that have been put into operation within a preset time period. Based on the detailed records, statistical analysis is performed to obtain the terminal commissioning and decommissioning information for each terminal in each natural time period within the preset time period. Combining the relevant information of the wireless public network power distribution terminal, a multidimensional statistical analysis is performed on the working condition deactivation information to obtain the terminal working condition check cycle under unrestricted conditions and under restricted multidimensional combination conditions in each natural time period. The terminal working condition check cycle under unrestricted conditions and under restricted multidimensional combination conditions in each natural time period is written into the configuration file. Based on the monitored natural time of operational condition exit and the terminal operational condition check cycle under both unrestricted and restricted multi-dimensional combinations of conditions in each natural time period, the operational condition check cycle is adaptively configured, and adjusted according to the actual terminal operational condition exit time, including: Read the configuration file into memory; For terminals that are about to be put into operation, the corresponding operating condition check cycle is obtained from memory based on the basic information and channel information of the terminals to be put into operation as the initial operating condition check cycle of the terminals after commissioning. For terminals that have been put into operation, whenever a terminal is detected to have exited its operating condition, the corresponding operating condition check cycle is retrieved from memory based on the terminal number and the natural time of the exit, and then configured as the operating condition check cycle for this exit. When a terminal that was out of monitoring mode is put back into monitoring mode, the time of its put-back is recorded, and the time taken for this mode to be put back into monitoring mode is calculated. If the deviation between this time taken and the current mode monitoring cycle is within a preset reasonable range, the time of terminal mode exit, the time of put-back, and the time taken for this mode to be put back into monitoring mode are written into memory. When the trigger condition for recalculating the terminal condition check cycle is met, the recalculated result is updated and written to memory as the next condition check cycle.

2. The adaptive configuration method for the working condition inspection cycle of a wireless public network power distribution terminal according to claim 1, characterized in that, The basic information includes: manufacturer, terminal type, power supply method of communication module, natural environment of the region, building environment, and commissioning start time; The channel information includes: network standard, operator, network communication method, and power protocol type.

3. The wireless public network power distribution terminal operating condition check period adaptive configuration method according to claim 1, characterized in that, The process involves obtaining detailed records of the operational status of already-operated terminals within a preset time period, and statistically analyzing these records to derive operational status information for each terminal within each natural time period, including: Obtain detailed records of the commissioning and decommissioning status of all wireless public network power distribution terminals in operation within a preset time period; Based on detailed records and statistical analysis of the operational status of each terminal, including the time of exit and the time of re-entry of each terminal's operational status, the time consumed in the operation of the terminal is calculated based on the time of exit and re-entry of each terminal's operational status. Statistical analysis of the time consumption for reactivation and deactivation of terminal operating conditions is conducted to divide the time range for reactivation and deactivation of terminal operating conditions. The time range is a pre-set range of multiple time segments based on the time consumption for the terminal to be reactivated when the terminal exits operating conditions in a natural time period. Based on the natural time period in which each terminal's working condition exits, the time range of each terminal's working condition exit is statistically analyzed, and the number of times each terminal's working condition exit time falls within each time range in each natural time period is counted.

4. The wireless public network power distribution terminal operating condition check period adaptive configuration method according to claim 3, characterized in that, The method combines relevant information from the wireless public network power distribution terminal to perform multidimensional statistical analysis on the operational condition deactivation information, thereby deriving the terminal operational condition inspection cycle under both unrestricted and restricted multidimensional combination conditions in each natural time period, including: Based on the number of times each terminal hits each time range in the working condition withdrawal and commissioning time within each natural time period, calculate the probability of each terminal hitting each time range in the working condition withdrawal and commissioning time within each natural time period, and select the upper limit of the time range with the higher probability as the working condition inspection cycle of each terminal under the unrestricted conditions in each natural time period. The number of times the working condition withdrawal time hits each time range in each natural time period under each combination of conditions is counted. The probability of each terminal hitting each time range in each natural time period under each combination of conditions is calculated, and the working condition check cycle of the terminal in each natural time period under each combination of conditions is obtained.

5. The wireless public network power distribution terminal operating condition check period adaptive configuration method according to claim 1, characterized in that, The trigger condition for recalculating the terminal condition check cycle is that the number of times or the time since the last calculation of the condition check cycle has reached a set value.

6. A wireless public network power distribution terminal working condition inspection period adaptive configuration system, characterized in that, include: The information reading module is used to obtain relevant information of the wireless public network distribution terminals that have been put into operation in the current distribution network automation system. The relevant information includes: basic information and channel information. The statistical analysis module is used to obtain detailed records of the operational status of the terminals that have been put into operation within a preset time period. Based on the detailed records, the module statistically analyzes and obtains the terminal operational status commissioning and decommissioning information for each terminal in each natural time period. Combined with the relevant information of the wireless public network power distribution terminal, the module performs multi-dimensional statistical analysis on the operational status commissioning and decommissioning information to obtain the terminal operational status inspection cycle under both unrestricted and restricted multi-dimensional combination conditions in each natural time period. The adaptive module is used to adaptively configure the operating condition check cycle based on the natural time of the monitored operating condition exit and the terminal operating condition check cycle under unrestricted conditions and restricted multi-dimensional combinations in each natural time period. It also adjusts the operating condition check cycle according to the actual terminal operating condition exit time, including: Read the configuration file into memory; For terminals that are about to be put into operation, the corresponding operating condition check cycle is obtained from memory based on the basic information and channel information of the terminals to be put into operation as the initial operating condition check cycle of the terminals after commissioning. For terminals that have been put into operation, whenever a terminal is detected to have exited its operating condition, the corresponding operating condition check cycle is retrieved from memory based on the terminal number and the natural time of the exit, and then configured as the operating condition check cycle for this exit. When a terminal that was out of monitoring mode is put back into monitoring mode, the time of its put-back is recorded, and the time taken for this mode to be put back into monitoring mode is calculated. If the deviation between this time taken and the current mode monitoring cycle is within a preset reasonable range, the time of terminal mode exit, the time of put-back, and the time taken for this mode to be put back into monitoring mode are written into memory. When the trigger condition for recalculating the terminal condition check cycle is met, the recalculated result is updated and written to memory as the next condition check cycle.

7. A computer-readable storage medium for storing one or more programs, characterized in that, The one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods according to claims 1 to 5.

8. A computing device, characterized in that, include, One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods according to claims 1 to 5.

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