Online monitoring and maintenance methods for communication equipment operation

Abstract

This invention belongs to the field of online monitoring technology for power communication equipment. The invention provides a method for online monitoring and maintenance of communication equipment operation, which, in conjunction with routine on-site inspections, includes a central monitoring platform. This central monitoring platform contains a monitoring system and an execution module. The monitoring system contains a device list. The central monitoring platform assigns different online monitoring strategies based on the device category and under different network load conditions. The execution module matches the online monitoring strategies with the operation and maintenance plan. By adopting this technical solution, different online monitoring strategies are implemented for different types of equipment, and the online monitoring strategies are combined with offline inspections, achieving complementarity between the two and improving the targeting and efficiency of monitoring.

Description

Technical Field

[0001] This invention belongs to the field of power equipment maintenance technology, and particularly relates to a method for online monitoring and maintenance of communication equipment operation. Background Technology

[0002] The stable operation of a power system depends on reliable communication. Failure of communication equipment can prevent timely dispatch instructions, disrupting the normal operation of the power system and potentially even triggering power accidents. Current technologies typically employ a complementary approach of on-site inspection and online monitoring for the monitoring and maintenance of communication equipment. In particular, online monitoring and maintenance of communication equipment allows for real-time monitoring of its operational status, timely detection and handling of equipment faults, and prevention of power system instability caused by communication interruptions. Existing technology includes patent CN202410518529.6, an invention patent titled "An Online Monitoring Method, Storage Medium, and Electronic Device for Power Equipment," which discloses an online monitoring method, storage medium, and electronic device for power equipment. This method includes collecting system monitoring data, defining monitoring parameters and indicators; constructing a preliminary mathematical model through data collection and performing preliminary verification of the model; optimizing and adjusting the model based on the verification results; applying the collected real-time data to the optimized mathematical model; establishing an anomaly monitoring and early warning mechanism based on the mathematical model; collecting user feedback on the monitoring system; and periodically 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 objective is to ensure the safe and stable operation of the power system and prevent power accidents. Failures in communication equipment can lead to a loss of power grid monitoring and control, causing serious consequences. Therefore, the anomaly monitoring and early warning mechanism established based on mathematical models in the comparative document has significant uncertainties, making the technical solution unsuitable for practical application. Furthermore, both online monitoring and on-site inspections incur costs; excessively high maintenance frequency leads to increased operation and maintenance costs, while low maintenance frequency increases the probability of failures. Summary of the Invention

[0004] To address the problems existing in online monitoring and maintenance of power communication equipment in the current technology, this invention provides an online monitoring and maintenance method for communication equipment operation. This method, combined with regular on-site inspections, resolves the contradiction between inspection frequency and fault detection probability in the current technology, reduces monitoring costs, and improves inspection efficiency.

[0005] To achieve the aforementioned technical effect, the technical solution adopted by this invention is as follows: an online monitoring and maintenance method for communication equipment operation, comprising a central monitoring platform. The central monitoring platform includes a monitoring system and an execution module. The monitoring system contains a device list, which categorizes devices into three classes: Class I, Class II, and Class III. Class I devices are those that have previously experienced faults; Class II devices are those that have not experienced faults but whose operating parameters have shown abnormalities; and Class III devices are other normally operating devices. The central monitoring platform assigns different online monitoring strategies based on the device category under different network load conditions. The execution module, according to the online monitoring strategy and the operation and maintenance plan, sequentially collects real-time data on the voltage, current, temperature, and signal strength of various types of power communication equipment using sensors at specified times. The collected data is transmitted to the monitoring system. The monitoring system analyzes and processes the received data, compares the analysis results with preset normal parameter ranges, and when a fault is detected, selects remote adjustment or on-site repair measures based on 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 device category in the device list based on the processing results.

[0006] Preferably, the method for preparing the equipment list specifically involves: collecting detailed information on all equipment, including equipment model, serial number, installation location, historical fault records, and current operating parameters; classifying the equipment into categories based on their fault history and operating parameters; for category one equipment, marking the specific fault type, occurrence time, and repair status; for category two equipment, recording its operating parameters; and establishing an independent mapping table for each category of equipment in the monitoring system, recording the equipment's classification information, key parameters, monitoring point locations, and connection relationships between adjacent equipment in the mapping table. Based on this information, targeted processing solutions can be set for different categories of equipment.

[0007] Preferably, a set of N communication devices is defined as S = {s1, s2, ..., s...} N}, each communication device s i With initial weight w i For each communication device s i Collect its historical failure data, including the number of failures f i and total running time t i For equipment that has experienced a failure, calculate the failure frequency p. 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 a particular communication device, a weighting 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 The communication devices can be sorted in descending order, i.e., s i1 s i2 , ..., s iN , where p i1 ′≥p i2 ′≥...≥p iN ′.

[0009] Preferably, the weighting adjustment coefficient 'a' is manually adjusted according to on-site requirements or based on the failure rate 'p'. i Calculations show that the monitoring order for specific communication devices within a category of equipment list is adjusted accordingly.

[0010] a = 0.5 * ln((1 - pi) / pi)

[0011] ln represents the natural logarithm; the design idea behind this formula is to give higher weights to communication devices with low failure rates, 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'. The weight of a correctly classified communication device is reduced, and the weight of a misclassified communication device is reduced. Communication devices with lower weights are placed at the beginning of the sequence. This allows more attention to those communication devices that were previously misclassified.

[0013] Preferred, non-faulty devices are selected with an initial weight w. i Sort the sequence.

[0014] Preferably, as time goes by and new fault data is generated, the number of faults and total operating time of each communication device are updated periodically, and the fault probability and monitoring sequence are recalculated.

[0015] Preferably, the central monitoring platform includes a predictive maintenance module that uses collected data to predict equipment problems and schedule maintenance in advance, as well as continuously update and optimize the monitoring process based on monitoring results. This can continuously improve the operational efficiency of the entire system.

[0016] Preferably, after the processing results are fed back to the central monitoring platform, the central monitoring platform classifies the processed communication equipment into Category II equipment and marks it separately. The platform compares the processed operating parameters of the communication equipment with the previous operating parameters to determine the effectiveness of the processing. If the processing is deemed effective, the processing procedure is recorded; otherwise, the communication equipment is reclassified into Category I equipment. This method determines the effectiveness of maintenance and records effective operations for reference by other personnel.

[0017] The present invention also includes an apparatus for performing an online monitoring and maintenance method for the operation of communication equipment, comprising: a processor, and a memory connected to the processor; the memory is used to store a computer program for performing the online monitoring and maintenance method for the operation of communication equipment;

[0018] The processor is used to call and execute the computer program in the memory.

[0019] The specific advantages of this invention are: it subdivides the equipment into three categories, implements different online monitoring strategies for different categories of equipment, and combines online monitoring strategies with offline inspections, achieving complementarity between the two and improving the targeting and efficiency of monitoring. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention.

[0021] Figure 1 This is a flowchart illustrating the online monitoring and maintenance method for the operation of communication equipment according to the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of this disclosure.

[0023] On-site maintenance, as a crucial component and key part of power communication operation and maintenance, directly impacts the overall effectiveness of the work. On-site maintenance involves monitoring and inspecting communication equipment (such as optical transmission equipment, microwave equipment, and voice switching equipment) and communication lines (such as special power optical cables, ordinary overhead optical cables, and duct optical cables), and troubleshooting specific equipment according to work orders. These tasks cannot be fully accomplished through online monitoring and remote operation; they require on-site inspection and operation by maintenance personnel. To realize this invention, a professional inspection team needs to be established. This team operates based on tasks assigned by the central monitoring platform, simultaneously handling online monitoring and offline inspections.

[0024] like Figure 1 As shown, the online monitoring and maintenance method for communication equipment operation is directly handled by the communication operation and maintenance department within the power system. This department's responsibilities also include daily inspections, status monitoring, fault diagnosis and troubleshooting, and performance optimization of various communication devices. Offline work is also recorded and executed through a central monitoring platform. This platform utilizes professional monitoring tools and technologies to monitor the real-time operation of communication equipment, ensuring the stability and reliability of the communication network. The central monitoring platform includes a monitoring system and an execution module. The monitoring system contains a device list, categorized into three types: Category I, Category II, and Category III. Category I devices are those that have previously experienced faults; Category II devices are those that have not experienced faults but whose operating parameters have shown abnormalities; and Category III devices are other normally operating equipment. The central monitoring platform assigns different online monitoring strategies based on the device category and under different network load conditions. The execution module, matching the online monitoring strategies with the operation and maintenance plan, sequentially collects real-time data on the voltage, current, temperature, and signal strength of various power communication devices using sensors at specified times according to the online monitoring strategies.

[0025] The collected data is transmitted to the monitoring system, which analyzes and processes the received data. The analysis results are compared with the preset normal parameter range. When a fault is detected, 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, which generates a report and adjusts the equipment category in the equipment list according to the processing results.

[0026] The specific method for preparing the equipment list is as follows: Collect detailed information on all equipment, including equipment model, serial number, installation location, historical fault records, and current operating parameters; classify the equipment according to its fault history and operating parameters; 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 table for each class of equipment in the monitoring system, recording the equipment's classification information, key parameters, monitoring point locations, and connection relationships between adjacent equipment in the mapping table. Define N sets of 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 failure data, including the number of failures f i and total running time t i For equipment that has experienced a failure, calculate the failure frequency p. 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] It's worth noting that when there are specific monitoring requirements for particular communication equipment, a weight adjustment coefficient 'a' is introduced. For example, in a substation with multiple communication management units, a new model is purchased, and it experiences a high workload. This high workload increases the probability of malfunctions. However, since it's a new device, its fault tolerance is considered high. Unless it directly fails and is classified as a single faulty unit, its monitoring priority can still be lowered by adjusting its weight. The adjusted fault frequency 'p' is then calculated. i ′=p i ×(1-a×w i According to the adjusted fault frequency p i The communication devices can be sorted in descending order, i.e., s i1 s i2 , ..., s iN , where p i1 ′≥p i2 ′≥...≥p iN The weighting adjustment factor 'a' is manually adjusted based on on-site requirements or the failure rate 'p'. i Calculations show that the monitoring order for specific communication devices within a category of equipment list is adjusted accordingly.

[0028] a = 0.5 * ln((1 - pi) / pi)

[0029] ln represents the natural logarithm; the design idea behind this formula is to give higher weights to devices with lower failure rates, 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 misclassified, their weights will be reduced, and communication devices with smaller weights will be placed at the beginning of the sequence.

[0031] It's important to note that since maintenance work has time limits, placing communication devices with lower weight at the beginning of the sequence allows for priority detection. When problems are detected and addressed, they won't affect the maintenance of subsequent devices. This strategy is the optimal solution.

[0032] For the three types of equipment, namely equipment that has not experienced a fault, the initial weight w is used. i The sequence is sorted. As time progresses and new fault data is generated, the number of faults and total operating time for each communication device are periodically updated, and the fault probability and monitoring sequence are recalculated. The central monitoring platform includes a predictive maintenance module that predicts equipment problems and schedules maintenance in advance based on collected data, and continuously updates and optimizes the monitoring process based on monitoring results. This continuously improves the overall system's operational efficiency. After the processing results are fed back to the central monitoring platform, the platform classifies the processed communication devices into Category II devices and marks them separately. The operating parameters of the communication devices after processing are compared with the previous operating parameters to determine whether the processing work is effective. If the processing is deemed effective, the processing procedure is recorded; otherwise, the communication device is reclassified into Category I devices. This determines the effectiveness of maintenance and records effective operations for reference by other personnel. Ideally, the central monitoring platform will eventually have a complete grasp of the handling solutions for all possible faults within its coverage area.

[0033] The present invention also includes an apparatus for performing an online monitoring and maintenance method for the operation of communication equipment, comprising: a processor, and a memory connected to the processor; the memory is used to store a computer program for performing the online monitoring and maintenance method for the operation of communication equipment;

[0034] While the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the scope of the invention. Any person skilled in the art can make modifications without departing from the scope of the invention; all equivalent modifications made in accordance with the invention should be covered by the scope of the invention. In the description of this specification, references to terms such as "one embodiment / mode," "some embodiments / modes," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment / mode or example is included in at least one embodiment / mode or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment / mode or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments / modes or examples. Moreover, without contradiction, those skilled in the art can combine and integrate different embodiments / modes or examples and features of different embodiments / modes or examples described in this specification.

[0035] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0036] Those skilled in the art should understand that the above embodiments are merely for illustrating the present disclosure and are not intended to limit the scope of the disclosure. Those skilled in the art can make other changes or modifications based on the above disclosure, and these changes or modifications still fall within the scope of the present disclosure.

Claims

1. A method for online monitoring and maintenance of communication equipment operation, characterized in that, It includes a central monitoring platform, which contains a monitoring system and an execution module. The monitoring system contains a device list, and the devices in the device list are divided into three categories: Category I devices, Category II devices, and Category III devices. Category I devices are those that have previously experienced malfunctions. Category II equipment refers to equipment that has never experienced a malfunction, but whose operating parameters have shown abnormalities; Category III equipment refers to other normally operating equipment. The central monitoring platform assigns different online monitoring strategies based on the type of equipment under different network load conditions. The execution module, according to the online monitoring strategy and the operation and maintenance plan, sequentially collects the voltage, current, temperature, and signal strength of various power communication equipment in real time through sensors at specified times. The collected data is transmitted to the monitoring system. The monitoring system analyzes and processes the received data, compares the analysis results with the preset normal parameter range, and selects to take remote adjustment or on-site maintenance measures according to the fault situation and the operation and maintenance plan when a fault is detected. 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.

2. The online monitoring and maintenance method for the operation of communication equipment as described in claim 1, characterized in that, The method for preparing the equipment list is as follows: collect detailed information on all equipment, including equipment model, serial number, installation location, historical fault records, and current operating parameters; classify the equipment according to its 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 classification information, key parameters, monitoring point locations, and connection relationships between adjacent equipment in the mapping relationship table.

3. The online monitoring and maintenance method for the operation of communication equipment as described in claim 1 or 2, characterized in that, Define N sets of communication devices S = {s1, s2, ..., sN}, where each communication device si has an initial weight wi. For each communication device si, collect its historical fault data, including the number of faults fi and the total running time ti. For devices that have experienced faults, calculate the fault frequency pi = fi / ti. Adjust the order of a type of device in the device list according to the fault frequency pi.

4. The online monitoring and maintenance method for the operation of communication equipment as described in claim 3, characterized in that, When there are specific monitoring requirements for a particular communication device, a weight adjustment coefficient 'a' is introduced, and the adjusted fault frequency pi' = pi × (1 - a × wi) is calculated. The communication devices are then sorted according to the adjusted fault frequency pi', which can be in descending order. si1,si2,...,siN, where pi1'≥pi2'≥...≥piN'.

5. The online monitoring and maintenance method for the operation of communication equipment as described in claim 4, characterized in that, The weighting adjustment factor 'a' is adjusted manually based on on-site requirements or calculated using the failure rate 'pi'. a = 0.5 * ln((1 - pi) / pi) In the formula, ln represents the natural logarithm; after calculating the weight adjustment coefficient a, the weight of each communication device is updated according to a.

6. The online monitoring and maintenance method for the operation of communication equipment as described in claim 5, characterized in that, For devices that have not experienced a failure, sort them according to their initial weight wi.

7. The online monitoring and maintenance method for the operation of communication equipment as described in claim 5, characterized in that, As time goes on and new fault data is generated, the number of faults and total uptime of each communication device are updated regularly, and the fault probability and monitoring sequence are recalculated.

8. The online monitoring and maintenance method for the operation of communication equipment as described in claim 5, characterized in that, The central monitoring platform includes a predictive maintenance module that uses collected data to predict equipment problems and schedule maintenance in advance, as well as continuously update and optimize the monitoring process based on the monitoring results.

9. The online monitoring and maintenance method for the operation of communication equipment as described in claim 1, characterized in that, After the processing results are fed back to the central monitoring platform, the central monitoring platform classifies the processed communication equipment into Class II equipment and marks it separately. The platform compares the processed operating parameters of the communication equipment with the previous operating parameters to determine whether the processing is effective. If the processing is effective, the processing flow is recorded; otherwise, the communication equipment is reclassified into Class I equipment.

10. An apparatus for performing an online monitoring and maintenance method for the operation of communication equipment, characterized in that, include: A processor, and a memory connected to the processor; The memory is used to store a computer program, which is used to execute the online monitoring and maintenance method for the operation of the communication equipment according to any one of claims 1-9; The processor is used to call and execute the computer program in the memory.

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