On-line monitoring and maintenance method for operation condition of communication equipment
By classifying equipment on the central monitoring platform in the field of power communications and formulating targeted online monitoring strategies, combining operation and maintenance plans and predictive maintenance, the contradiction between inspection frequency and fault discovery rate in the existing technology is solved, and monitoring costs are reduced , improves efficiency and ensures the safe and stable operation of the power system.
Patent Information
- Application Number
- CN202411230241.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-03
- Publication Date
- 2025-01-07
- Estimated Expiration
- 2044-09-03
AI Technical Summary
The existing technology online monitoring and maintenance in the field of power communications has a contradiction between inspection frequency and fault discovery rate, which leads to high monitoring costs and increased fault incidence. The abnormal monitoring and early warning mechanism of mathematical models are uncertain, so it is impossible to Effectively ensure the safe and stable operation of the power system.
Using the central monitoring platform, it is divided into first-class equipment (has been faulted), second-class equipment (has not faulted but has abnormal operating parameters) and third-class equipment (normal operation). Different online monitoring strategies are formulated according to the equipment category, and through The sensor collects voltage, current, temperature and signal strength data in real time, and selects remote adjustment or on-site maintenance measures in combination with the operation and maintenance plan. It arranges maintenance in advance through the predictive maintenance module to optimize the monitoring process.
It reduces monitoring costs, improves patrol efficiency, ensures the safe and stable operation of the power system, reduces the chance of failure, and improves the overall system's operating efficiency by continuously updating and optimizing the monitoring process.
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Figure CN119276718A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of power equipment maintenance, and in particular relates to an online monitoring and maintenance method for the operation status of communication equipment. Background Art
[0002] The stable operation of the power system depends on reliable communication. If the communication equipment fails, the dispatching instructions may not be issued in time, affecting the normal operation order of the power system and even causing power accidents. In the prior art, the communication equipment is usually monitored and maintained in the form of complementary on-site inspection and online detection. In particular, the online monitoring and maintenance of communication equipment can grasp the working status of the communication equipment in real time, discover and handle equipment failures in time, and avoid unstable operation of the power system due to communication interruption. In the prior art, the invention patent with patent number CN202410518529.6 "An online monitoring method, storage medium and electronic device for power equipment" discloses an online monitoring method, storage medium and electronic device for power equipment, including collecting system monitoring data, defining monitoring parameters and indicators; constructing a preliminary mathematical model through data collection system information, and preliminarily verifying the model; optimizing and adjusting the model according to the verification results; applying the collected real-time data to the optimized mathematical model, establishing an abnormal monitoring and early warning mechanism based on the mathematical model, and collecting user feedback on the monitoring system, and regularly conducting a comprehensive evaluation of the entire monitoring system. This method can eliminate the problems of reactive maintenance, limited data utilization, lack of real-time monitoring and high maintenance costs in existing power equipment monitoring and maintenance methods, as well as how to effectively improve equipment operating efficiency and safety and reduce unexpected downtime.
[0003] However, in the field of power communication, the maintenance goal is to ensure the safe and stable operation of the power system and prevent power accidents. The failure of communication equipment may cause the power grid to lose monitoring and control, resulting in serious consequences. Therefore, the abnormal monitoring and early warning mechanism established on the basis of mathematical models in the comparative documents has a large uncertainty, so the technical solution is not suitable for practical application. In addition, both online monitoring and on-site inspections require a certain cost, so too high maintenance frequency will lead to an increase in operation and maintenance costs, while low maintenance frequency will increase the probability of failures. Summary of the invention
[0004] In order to solve the problems existing in the online monitoring and maintenance of the prior art in the field of power communication, the online monitoring and maintenance method of the operation status of communication equipment of the present invention, in conjunction with normal on-site inspections, solves the contradiction between the inspection frequency and the probability of discovering faults in the prior art, reduces monitoring costs, and improves inspection efficiency.
[0005] To achieve the technical effect, the technical solution adopted by the present invention is: an online monitoring and maintenance method for the operation of communication equipment, including a central monitoring platform, a monitoring system and an execution module are provided in the central monitoring platform, the monitoring system has an equipment list, and the equipment in the equipment list is divided into Class I equipment, Class II equipment and Class III equipment; Class I equipment is equipment that has had a fault; Class II equipment is equipment that has not had a fault, but has abnormal operating parameters; Class III equipment is other normal operating equipment; the central monitoring platform allocates different online monitoring strategies under different network load conditions according to the type of equipment, and the execution module matches the online monitoring strategy with the operation and maintenance plan according to the online monitoring strategy. According to the online monitoring strategy, the voltage, current, temperature and signal strength of various types of power communication equipment are collected in real time through sensors at a specified time, and the collected data are transmitted to the monitoring system. The monitoring system analyzes and processes the received data, and compares the analysis results with the preset normal parameter range. When a fault is found, remote adjustment or on-site maintenance measures are selected according to the fault situation and the operation and maintenance plan, and the processing results are fed back to the central monitoring platform. The central monitoring platform generates a report and adjusts the equipment category in the equipment list according to the processing results.
[0006] Preferably, the preparation method of the equipment list is as follows: collect detailed information of all equipment, including equipment model, serial number, installation location, historical fault record, and current operating parameters; classify the equipment according to the equipment's fault history and operating parameters, and for Class I equipment, mark the specific fault type, occurrence time, and repair status; for Class II equipment, record its operating parameters; establish an independent mapping relationship table for each type of equipment in the monitoring system, and record the equipment's classification information, key parameters, monitoring point location, and connection relationship between adjacent equipment in the mapping relationship table. Based on this information, targeted processing solutions can be set for different types of equipment.
[0007] Preferably, define N communication device sets S = {s1, s2, ..., s N}, each communication device s i With initial weight w i , for each communication device s i , collect its historical fault data, including the number of faults f i and the total running time t i , calculate the failure frequency p for the equipment that has failed i =f i / t i According to the fault frequency p i Adjust the order of a type of equipment in the equipment list.
[0008] Preferably, when there are specific monitoring requirements for specific communication equipment, a weight adjustment coefficient a is introduced to calculate the adjusted fault frequency p i ′=p i ×(1-a×w i ), according to the adjusted fault frequency p i ′Sort the communication devices in descending order, that is, s i1 ,s i2 , ..., s iN , where p i1 ′≥p i2 ′≥...≥p iN ′.
[0009] Preferably, the weight adjustment coefficient a is manually adjusted according to the on-site requirements or by the failure rate p i Calculated and used to adjust the monitoring order of specific communication equipment in the list of equipment of category 1.
[0010] a=0.5*ln((1-pi) / pi)
[0011] ln represents the natural logarithm; the design idea of this formula is to give communication devices with low failure rates higher weights, so that they are placed in a lower sequence during the final classification.
[0012] After calculating the weight adjustment coefficient a, the weight of each communication device is updated according to a. For communication devices that are correctly classified, their weights will be reduced; for communication devices that are incorrectly classified, their weights will be reduced, and communication devices with small weights are placed at the front of the sequence. This can make those communication devices that were previously incorrectly classified more focused.
[0013] Preferably, the equipment that has not failed has an initial weight w i Sort the sequence.
[0014] Preferably, as time passes and new fault data is generated, the number of faults and total operating time of each communication device are regularly updated, and the fault probability and monitoring sequence are recalculated.
[0015] Preferably, the central monitoring platform has a predictive maintenance module, which predicts equipment problems through the collected data and arranges maintenance in advance, and continuously updates and optimizes the monitoring process based on the monitoring results. This can continuously improve the operating efficiency of the entire system.
[0016] Preferably, after the processing results are fed back to the central monitoring platform, the central monitoring platform will classify the processed communication equipment into Class II equipment and mark them separately, and compare the operating parameters of the communication equipment after processing with the operating parameters before processing to determine whether the processing work is effective. If the processing is determined to be effective, the processing flow is recorded, otherwise the communication equipment is reclassified as Class I equipment. In this way, the effectiveness of the maintenance is determined, and the effective operation is recorded for reference by other staff.
[0017] The present invention also includes a device for executing the online monitoring and maintenance method of the operation status of a communication device, comprising: a processor, and a memory connected to the processor; the memory is used to store a computer program, and the computer program is used to execute the online monitoring and maintenance method of the operation status of the communication device;
[0018] The processor is used to call and execute the computer program in the memory.
[0019] The specific advantages of the present invention are: subdividing equipment into one category, two categories, and three categories, implementing different online monitoring strategies for different categories of equipment, and combining online monitoring strategies with offline inspections to achieve complementarity between the two, thereby improving the pertinence and efficiency of monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.
[0021] Figure 1 It is a flow chart of the online monitoring and maintenance method of the communication equipment operation status of the present invention. DETAILED DESCRIPTION
[0022] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. It can be understood that the specific implementation methods described here are only used to explain the relevant content, rather than to limit the present disclosure.
[0023] As an important component and key part of the operation and maintenance of electric power communications, the reliability and effectiveness of field maintenance are directly linked to the effectiveness of the entire operation and maintenance of electric power communications. Field maintenance directly guards and patrols communication equipment (such as optical transmission equipment, microwave equipment, voice switching equipment, etc.) and communication lines (such as special power optical cables, ordinary overhead optical cables, pipeline optical cables, etc.), and performs troubleshooting on specific equipment according to task orders. These tasks cannot be completed entirely through online monitoring and remote operation, and must rely on on-site inspections and operations by field maintenance personnel. In order to realize the present invention, it is necessary to build a professional inspection team, which is based on the tasks arranged by the central monitoring platform, while taking into account online monitoring and offline inspections.
[0024] like Figure 1 As shown in the figure, the online monitoring and maintenance method of the operation of communication equipment is directly responsible by the communication operation and maintenance department in the power system. The responsibilities of the communication operation and maintenance department also include daily inspection, status monitoring, fault diagnosis and elimination, performance optimization and other work of various communication equipment offline. The offline work is also combined with the central monitoring platform for recording and execution. Based on the central monitoring platform, professional monitoring tools and technologies are used to grasp the operation of communication equipment in real time to ensure the stability and reliability of the communication network. The central monitoring platform is equipped with a monitoring system and an execution module. The monitoring system has an equipment list. The equipment in the equipment list is divided into Class I equipment, Class II equipment and Class III equipment; Class I equipment is equipment that has had a fault; Class II equipment is equipment that has not had a fault, but has abnormal operating parameters; Class III equipment is other normal operating equipment; The central monitoring platform allocates different online monitoring strategies according to the type of equipment under different network load conditions, and the execution module is based on the online monitoring strategy. The online monitoring strategy and the operation and maintenance plan are matched with each other. According to the online monitoring strategy, the voltage, current, temperature and signal strength of various power communication equipment are collected in real time through sensors at the specified time.
[0025] The collected data is transmitted to the monitoring system, which analyzes and processes the received data and compares the analysis results with the preset normal parameter range. When a fault is found, remote adjustment or on-site repair measures are taken according to the fault situation and the operation and maintenance plan. The processing results are fed back to the central monitoring platform, which generates a report and adjusts the equipment category in the equipment list according to the processing results.
[0026] The preparation method of the equipment list is as follows: collect detailed information of all equipment, including equipment model, serial number, installation location, historical fault record, and current operating parameters; classify the equipment according to the equipment's fault history and operating parameters, and for Class I equipment, mark the specific fault type, occurrence time, and repair status; for Class II equipment, record its operating parameters; establish an independent mapping relationship table for each type of equipment in the monitoring system, and record the equipment's classification information, key parameters, monitoring point location, and connection relationship between adjacent equipment in the mapping relationship table. Define N communication equipment sets S = {s1, s2, ..., s N}, each communication device s i With initial weight w i , for each communication device s i , collect its historical fault data, including the number of faults f i and the total running time t i , calculate the failure frequency p for the equipment that has failed i =f i / t i According to the fault frequency p i Adjust the order of a type of equipment in the equipment list.
[0027] Here we need to explain that when there are specific monitoring requirements for specific communication equipment, the weight adjustment coefficient a is introduced. For example, in a distribution station, there are multiple communication management machines. At this time, a new model of communication management machine is purchased, and the new equipment has a large workload during operation. At this time, the large load leads to a higher probability of abnormality, but because it is a new device purchased, it can be determined that it has a large fault tolerance. As long as it is not directly classified as a type of equipment due to a fault, its monitoring order can still be reduced by adjusting its weight. Calculate the adjusted fault frequency p i ′=p i ×(1-a×w i ), according to the adjusted fault frequency p i ′Sort the communication devices in descending order, that is, s i1 ,s i2 , ..., s iN , where p i1 ′≥p i2 ′≥...≥p iN ′. The weight adjustment coefficient a is adjusted manually according to the on-site needs or through the failure rate p i Calculated and used to adjust the monitoring order of specific communication equipment in the list of equipment of category 1.
[0028] a=0.5*ln((1-pi) / pi)
[0029] ln represents the natural logarithm; the design idea of this formula is to give devices with lower failure rates higher weights, so that they are placed in a lower sequence during the final classification.
[0030] After calculating the weight adjustment coefficient a, the weight of each communication device is updated according to a. For communication devices that are correctly classified, their weights will be reduced; for communication devices that are incorrectly classified, their weights will be reduced, and communication devices with small weights are placed at the front end of the sequence.
[0031] It should be noted here that since the operation and maintenance work has a time limit, placing the communication equipment with a small weight at the front of the sequence can be tested first. At this time, maintenance after the problem is detected will not affect the subsequent equipment maintenance. This strategy is the best solution.
[0032] For the third type of equipment, i.e., equipment that has not failed, the initial weight w i Sort the sequence. As time goes by and new fault data is generated, the number of faults and total operating time of each communication device are regularly updated, and the fault probability and monitoring sequence are recalculated. The central monitoring platform has a predictive maintenance module, which predicts equipment problems and arranges maintenance in advance through the collected data, and continuously updates and optimizes the monitoring process based on the monitoring results. This can continuously improve the operating efficiency of the entire system. After the processing results are fed back to the central monitoring platform, the central monitoring platform will classify the processed communication equipment into Class II equipment and mark them separately, and compare the processed operating parameters of the communication equipment with the previous operating parameters to determine whether the processing work is effective. If the processing is determined to be effective, the processing process is recorded, otherwise the communication equipment is reclassified into Class I equipment. In this way, the effectiveness of the maintenance is determined, and the effective operation is recorded for reference by other staff. Under ideal conditions, the central monitoring platform will eventually fully grasp all possible fault handling solutions within its coverage.
[0033] The present invention also includes a device for executing the online monitoring and maintenance method of the operation status of a communication device, comprising: a processor, and a memory connected to the processor; the memory is used to store a computer program, and the computer program is used to execute the online monitoring and maintenance method of the operation status of the communication device;
[0034] Although the present invention is disclosed as above with preferred embodiments, it is not intended to limit the scope of the present invention. Any person of ordinary skill in the art can make some improvements without departing from the scope of the present invention, that is, all equivalent improvements made in accordance with the present invention should be covered by the scope of the present invention. In the description of this specification, the description of reference terms "an embodiment / method", "some embodiments / methods", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment / method or example are included in at least one embodiment / method or example of the present application. In this specification, the schematic representation of the above terms does not necessarily target the same embodiment / method or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments / methods or examples in a suitable manner. In addition, without contradicting each other, a person of ordinary skill in the art can combine and combine the different embodiments / methods or examples described in this specification and the features of different embodiments / methods or examples.
[0035] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0036] Those skilled in the art should understand that the above embodiments are only for the purpose of clearly illustrating the present disclosure, and are not intended to limit the scope of the present disclosure. For those skilled in the art, other changes or modifications may be made based on the above disclosure, and these changes or modifications are still within the scope of the present disclosure.
Claims
1. A method for online monitoring and maintenance of the operation status of communication equipment, characterized in that: It includes a central monitoring platform, wherein a monitoring system and an execution module are provided in the central monitoring platform, wherein the monitoring system has an equipment list, wherein the equipment in the equipment list is divided into Class I equipment, Class II equipment and Class III equipment; wherein Class I equipment is equipment that has experienced a failure; Category II equipment refers to equipment that has not experienced any failures but has experienced abnormal operating parameters; Category III equipment refers to other equipment that operates normally; The central monitoring platform allocates different online monitoring strategies under different network load conditions according to the type of equipment. The execution module matches the online monitoring strategy with the operation and maintenance plan. According to the online monitoring strategy, the voltage, current, temperature and signal strength of various types of power communication equipment are collected in real time through sensors at the specified time, and the collected data is transmitted to the monitoring system. The monitoring system analyzes and processes the received data, and compares the analysis results with the preset normal parameter range. When a fault is found, remote adjustment or on-site maintenance measures are selected according to the fault situation and the operation and maintenance plan. The processing results are fed back to the central monitoring platform. The central monitoring platform generates a report and adjusts the equipment category in the equipment list according to the processing results.
2. The method for online monitoring and maintenance of the operation status of communication equipment according to claim 1, characterized in that: The method for preparing the equipment list is specifically as follows: collecting detailed information of all equipment, including equipment model, serial number, installation location, historical fault record, and current operating parameters; classifying the equipment according to the equipment's fault history and operating parameters, and for Class I equipment, marking the specific fault type, occurrence time, and repair status; for Class II equipment, recording its operating parameters; establishing an independent mapping relationship table for each type of equipment in the monitoring system, and in the mapping relationship table, recording the equipment's classification information, key parameters, monitoring point locations, and connection relationships between adjacent devices.
3. The method for online monitoring and maintenance of the operation status of communication equipment according to claim 1 or 2, characterized in that: Define a set of N communication devices S = {s1, s2, ..., s N }, each communication device s i With initial weight w i , for each communication device s i , collect its historical fault data, including the number of faults f i and the total running time t i , calculate the failure frequency p for the equipment that has failed i =f i / t i According to the fault frequency p i Adjust the order of a type of equipment in the equipment list.
4. The method for online monitoring and maintenance of the operation status of communication equipment according to claim 3, characterized in that: When there are specific monitoring requirements for specific communication equipment, the weight adjustment coefficient a is introduced to calculate the adjusted fault frequency p i '=p i ×(1-a×w i ), according to the adjusted fault frequency p i 'Sort the communication devices in descending order, that is s i1 ,s i2 ,...,s iN , where p i1 '≥p i2 '≥...≥p iN '.
5. The method for online monitoring and maintenance of the operation status of communication equipment according to claim 4, characterized in that: The weight adjustment coefficient a is adjusted manually according to the on-site requirements or through the failure rate p i It is calculated that a=0.5*ln((1-p i ) / p i ) In the formula, ln represents the natural logarithm. After the weight adjustment coefficient a is calculated, the weight of each communication device is updated according to a. For the communication devices that are correctly classified, their weights will be reduced; for the communication devices that are incorrectly classified, their weights will be reduced, and the communication devices with small weights are placed at the front end of the sequence.
6. The method for online monitoring and maintenance of the operation status of communication equipment according to claim 5, characterized in that: The equipment that has not failed has an initial weight w i Sort the sequence.
7. The method for online monitoring and maintenance of the operation status of communication equipment according to claim 5, characterized in that: As time goes by and new fault data is generated, the number of failures and total operating time of each communication device are regularly updated, and the failure probability and monitoring sequence are recalculated.
8. The method for online monitoring and maintenance of the operation status of communication equipment according to claim 5, characterized in that: The central monitoring platform has a predictive maintenance module that predicts equipment problems through collected data and arranges maintenance in advance, as well as continuously updates and optimizes the monitoring process based on the monitoring results.
9. The method for online monitoring and maintenance of the operation status of communication equipment according to claim 1, characterized in that: After the processing results are fed back to the central monitoring platform, the central monitoring platform will classify the processed communication equipment into Category II equipment and mark it separately, and compare the operating parameters of the communication equipment after processing with the previous operating parameters to determine whether the processing work is effective. If the processing is determined to be effective, the processing process will be recorded; otherwise, the communication equipment will be reclassified as Category I equipment.
10. A device for performing an online monitoring and maintenance method for the operation of a communication device, characterized in that: include: A processor, and a memory connected to the processor; The memory is used to store a computer program, and the computer program is used to execute the online monitoring and maintenance method for the operation status of a communication device according to any one of claims 1 to 9; The processor is used to call and execute the computer program in the memory.
Citation Information
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