Fault monitoring and scheduling method and device, electronic equipment and storage medium

Abstract

The invention relates to a fault monitoring and scheduling method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the fault influence information of a target region in public opinion information in real time, generating fault early warning information according to the fault influence information, and carrying out the fault early warning; when the fault alarm information in the target area meets a preset condition and is determined as a large-area fault, obtaining fault evaluation data corresponding to the equipment information of the alarm communication equipment; and performing data processing on the fault assessment data, and determining a unified scheduling scheme for fault maintenance of the alarm communication equipment in the target area in combination with the fault early warning information. According to the method, based on public opinion information early warning and according to the fault assessment result, a reasonable fault maintenance scheduling scheme is formulated, manpower and material resources are saved, the process from fault early warning to monitoring, accurate assessment of the importance of the fault communication equipment after the fault occurs and formulating of real-time scheduling is realized, and the efficiency of field maintenance work is improved.

Description

Technical Field

[0001] The present application relates to the field of communication network technology, and in particular to a fault monitoring and scheduling method and device, electronic equipment, and storage medium. Background Art

[0002] In a certain area, when natural disasters such as severe weather and earthquakes, or emergencies such as power outages in the city power lines occur, there is a high probability that large-scale power outages and wireless base station outages will occur in the area, thus affecting the normal operation of various communication equipment in the computer room and causing damage to user services. Usually, the fault alarm in the current technology is a network element level alarm. When a large-scale fault alarm occurs, there are many alarming network elements, and it is impossible to accurately locate the cause of the fault. The communication network maintenance personnel go to handle the network element fault according to the alarm network element. However, there is a time difference from the occurrence of the fault to the repair by the maintenance personnel, which is not conducive to the scheduling of maintenance. How to provide early warning of faults, and how to quickly and accurately assess the importance of the faulty computer room after the fault occurs, so as to facilitate the operation and maintenance side to quickly arrange emergency repairs, thereby minimizing damage to customer services, is a difficulty in current communication maintenance work. Summary of the invention

[0003] The purpose of this application is to provide a fault monitoring and scheduling method. The method of this application formulates a reasonable fault maintenance scheduling plan based on the fault assessment results, saves manpower and material resources, realizes the process from fault warning to monitoring, and then to accurately assess the importance of faulty communication equipment after the fault occurs, formulates real-time scheduling, and improves the efficiency of on-site maintenance work.

[0004] A first aspect of an embodiment of the present application provides a fault monitoring and scheduling method, including:

[0005] Acquire the fault impact information of the target area in the public opinion information in real time, and generate fault warning information according to the fault impact information to perform fault warning;

[0006] When the fault alarm information in the target area meets the preset conditions and is confirmed as a large-area fault, the fault assessment data corresponding to the device information of the alarm communication device is obtained;

[0007] The fault assessment data is processed, and combined with the fault warning information, a unified scheduling plan for maintenance of alarm communication equipment faults in the target area is determined.

[0008] In one embodiment, the fault impact information includes natural disaster information and power outage information, and the real-time acquisition of the fault impact information of the target area in the public opinion information includes: according to the regional division strategy and the keyword screening strategy, real-time acquisition of the natural disaster information in the target area; real-time acquisition of the power outage information in the target area.

[0009] In one embodiment, the generating of fault warning information according to the fault impact information includes: estimating the impact range and fault type according to the fault impact information, generating the warning information, and the warning information includes device information of communication devices within the impact range.

[0010] In one embodiment, the equipment information of the alarm communication equipment includes: base station quantity information and base station range information, and the equipment information of the communication equipment within the affected range includes: obtaining the power outage time information and the power outage area information contained in the power outage information; calculating the longitude and latitude range information of the power outage area based on the power outage area information; and estimating the base station quantity information and the base station range information within the longitude and latitude range of the power outage area affected by the fault based on the longitude and latitude range information of the power outage area.

[0011] In one embodiment, the fault alarm information includes: fault alarm information of the power supply equipment and base station de-service alarm information, wherein the power supply equipment is used to supply power to the base station, and when the fault alarm information in the target area meets the preset conditions and is confirmed to be a large-area fault, the fault assessment data corresponding to the equipment information of the alarm communication device is obtained, including: determining the number of faulty power supply equipment in the target area according to the fault alarm information of the power supply equipment and the base station de-service alarm information; comparing the ratio of the number of faulty power supply equipment in the target area to the number of all power supply equipment in the target area with a preset threshold value; when it is greater than the preset threshold value, it is confirmed that the preset conditions are met, and the fault alarm information of the power supply equipment and the base station de-service alarm information are determined as the fault assessment data.

[0012] In one embodiment, the fault assessment data further includes: weight parameter data of the power supply device, and battery life parameter data of the power supply device.

[0013] In one embodiment, the data processing of the fault assessment data and determination of a unified scheduling scheme for fault maintenance of alarm communication equipment in the target area in combination with the fault warning information include:

[0014] Performing weighted average processing on the fault assessment data to obtain importance data of the communication equipment that has failed in the target area;

[0015] A communication equipment fault maintenance scheduling plan within the target area is determined based on the importance data and combined with the fault warning information.

[0016] A second aspect of an embodiment of the present application provides a fault warning evaluation method and device, including:

[0017] An early warning module is used to obtain the fault impact information of the target area in the public opinion information in real time, and generate fault early warning information according to the fault impact information to perform fault early warning;

[0018] An acquisition module is used to acquire fault assessment data corresponding to the device information of the alarm communication device when the fault alarm information in the target area meets the preset conditions and is confirmed as a large-area fault;

[0019] The processing module is used to process the fault assessment data and determine a unified scheduling plan for maintenance of alarm communication equipment faults in the target area in combination with the fault warning information.

[0020] According to a third aspect of an embodiment of the present application, there is provided an electronic device, the electronic device comprising:

[0021] processor;

[0022] a memory for storing processor-executable instructions;

[0023] In which, the processor is configured to execute the fault monitoring and scheduling method described in any one of the embodiments of the first aspect of the present application.

[0024] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, it is used to execute the above-mentioned fault monitoring and scheduling method.

[0025] Compared with the prior art, the beneficial effects of this application are as follows: the method of this application is based on public opinion information warning and according to the fault assessment results, a reasonable fault maintenance scheduling plan is formulated, which saves manpower and material resources, realizes the process from fault warning to monitoring, accurately assessing the importance of faulty communication equipment after the fault occurs, and formulating real-time scheduling, thereby improving the efficiency of on-site maintenance work and minimizing damage to customer services. The fault assessment results using this method are closer to the actual situation of large-scale faults in the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 A schematic diagram of the structure of an electronic device provided in one embodiment of the present application;

[0028] Figure 2A flowchart of a fault monitoring and scheduling method provided in one embodiment of the present application;

[0029] Figure 3 A schematic diagram of the structure of a fault monitoring and dispatching device provided for an implementation of the present application. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0031] Similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0032] The technical solution of the present application will be described clearly and completely below in conjunction with the accompanying drawings.

[0033] Please refer to Figure 1 , which is a schematic diagram of the structure of an electronic device 100 provided in an embodiment of the present application. The electronic device 100 includes: one or more processors 120, and one or more memories 104 storing instructions executable by the processor 120. The processor 120 is configured to execute the fault monitoring and scheduling method provided in the following embodiment of the present application.

[0034] The processor 120 can be a gateway, or a smart terminal, or a central processing unit (CPU), a graphics processing unit (GPU), or a customized accelerator module dedicated to median filtering processing. It can process data of other components in the electronic device 100 and control other components in the electronic device 100 to perform desired functions.

[0035] The memory 104 may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 120 may run the program instructions to implement the fault monitoring and scheduling method described below. Various applications and various data, such as various data used and / or generated by the application, may also be stored in the computer-readable storage medium.

[0036] In one embodiment, Figure 1 The electronic device 100 shown may also include an input device 106, an output device 108, and a data acquisition device 110, which are interconnected via a bus system 112 and / or other forms of connection mechanisms (not shown). Figure 1 The components and structures of the electronic device 100 shown are merely exemplary and non-limiting. The electronic device 100 may also have other components and structures as required.

[0037] The input device 106 may be a device for a user to input instructions, and may include one or more of a keyboard, a mouse, a microphone, a touch screen, etc. The output device 108 may output various information (e.g., images or sounds) to the outside (e.g., a user), and may include one or more of a display, a speaker, etc. The data acquisition device 110 may acquire an image of an object, and store the acquired image in the memory 104 for use by other components. Exemplarily, the data acquisition device 110 may be a camera.

[0038] In one embodiment, the various components in the example electronic device 100 for implementing the fault monitoring and scheduling method of the embodiment of the present application can be integrated or dispersed, such as integrating the processor 120, memory 104, input device 106 and output device 108 into one, while separating the data acquisition device 110.

[0039] In one embodiment, the example electronic device 100 used to implement the fault monitoring and scheduling method of the embodiment of the present application may be a computer, a smart tablet, or a smart phone.

[0040] Please refer to Figure 2 , which is a flow chart of a fault monitoring and dispatching method provided by an embodiment of the present application. The method of the present application is based on public opinion information warning and according to the fault assessment results, a reasonable fault maintenance dispatching plan is formulated to save manpower and material resources, and realizes the process from fault warning to monitoring, accurately assessing the importance of faulty communication equipment after the fault occurs, and formulating real-time dispatching, thereby improving the efficiency of on-site maintenance work, and realizing cross-regional unified dispatching of resources within the target area, solving fault problems more accurately and efficiently. The method specifically includes steps S210-S230.

[0041] Step S210: acquiring the fault impact information of the target area in the public opinion information in real time, and generating fault warning information according to the fault impact information to perform fault warning.

[0042] The target area can be divided according to the administrative areas of provinces and cities, and can be specifically divided into XX County XX District XX Street XX Road. In this embodiment, the target area is preferably a provincial area, and the target area includes specific sub-areas such as cities, counties, and streets. When a sub-area in the target area encounters an emergency such as bad weather, power outages in the city power lines, earthquakes, and natural disasters, it is highly likely that the wireless base station in the area will exit the service failure (hereinafter referred to as base station withdrawal), the computer room power outage, and other communication equipment failures will occur. In order to avoid the occurrence of failures or reduce the probability of failures, and to minimize the loss of manpower and financial resources caused by failures, relevant departments are required to conduct fault warnings for the communication equipment in the target area and reasonably formulate a maintenance and scheduling plan for communication equipment failures.

[0043] The fault warning method can be to obtain the factors that may be affected by the fault of the communication equipment in the target area in real time, summarize and analyze these fault influencing factors, and form fault impact information. According to the fault impact information, the situation that the communication equipment in the target area may be affected by the fault is determined, and fault warning information is generated according to the fault impact information, and fault warning is performed, so that each sub-area within the target area can prepare for maintenance scheduling in advance, which provides a guarantee for timely and efficient handling of fault maintenance problems.

[0044] In one embodiment, the device information of the alarm communication device includes base station quantity information and base station range information. Since there are multiple communication base stations in the target area, the base stations are electrically connected to the power supply equipment, and the power supply equipment supplies power to the base stations. For unified management, the power supply equipment can usually be centrally set up in the machine room. If a power outage occurs in the target area, the power supply equipment cannot provide power support to the base station in time, causing the base station to exit service (hereinafter referred to as base station exit service), which will affect the normal operation of the communication equipment in the target area.

[0045] The factors that cause the failure in the target area may be objective factors. For example, the failure impact information includes natural disaster information and power outage information. Real-time acquisition of the failure impact information of the target area in the public opinion information includes: obtaining natural disaster information in the target area in real time according to the regional division strategy and keyword screening strategy; obtaining power outage information in the target area in real time. Failure impact information may include natural disaster information and power outage information. Both natural disaster information and power outage information can be obtained from external channels, such as from relevant professional and authoritative websites, or from hot emergency reports on relevant websites.

[0046] In one embodiment, according to the regional division strategy and the keyword screening strategy, the natural disaster information in the target area is obtained in real time, including forecast information and emergency information. Natural disasters refer to natural phenomena that bring harm to human survival or damage the human living environment, including drought, high temperature, low temperature, cold wave, flood, mountain torrent, typhoon, tornado, fire tornado, hail, wind and hail, frost, rainstorm, blizzard, freezing rain, acid rain, heavy fog, strong wind, ice, haze, haze, earthquake, tsunami, landslide, mudslide, floating dust, blowing sand, sandstorm, lightning, thunderstorm, ball lightning, volcanic eruption, etc. The above natural disasters are summarized to obtain natural disaster information. Exemplarily, natural disaster information such as hot weather data in the target area is obtained from authoritative websites such as China Weather Network, Natural Disaster Network, and Seismic Network.

[0047] In this embodiment, the regional division strategy refers to screening by province, prefecture and city level, first screening out the province and city to which the target area belongs. The keyword screening strategy refers to screening by natural disaster type, screening out the natural disasters that need attention in the target area.

[0048] Exemplarily, in this embodiment, the natural disaster information of relevant cities in Hebei Province is mainly concerned, and preliminary screening is performed according to the city keyword screening strategy in the regional division strategy. The city keywords include: Shijiazhuang, Xingtai, Hengshui, Baoding, Cangzhou, Chengde, Handan, Qinhuangdao, Tangshan, Zhangjiakou, Langfang, Xiong'an. For example, first screen out the cities to which the target area belongs, Shijiazhuang City, Hebei Province. Then screen the keywords to which the types of natural disasters occurring in Shijiazhuang City, Hebei Province belong. Finally, natural disaster information including earthquakes, floods, rain, snow, wind, electricity, power outages, etc. in Shijiazhuang City, Hebei Province in the past 30 days is screened as the influencing factors of natural disasters in the target area, Shijiazhuang City, Hebei Province.

[0049] In one embodiment, power outage information in the target area is obtained in real time. Power outage announcements are usually released through authoritative websites and TV channels, and the power outage information is included in the power outage announcement. For example, the user can obtain the power outage announcement of Shijiazhuang City, Hebei Province within a period of time from the official website of the State Grid or other authoritative departments such as TV stations according to the principle of prefecture-level division, and perform address reverse resolution processing on the power outage information displayed in the power outage announcement, so as to convert the power outage information into device information of communication devices that may be affected in the area that the user focuses on.

[0050] Generate fault warning information based on fault impact information, and perform fault warning including:

[0051] According to the fault impact information, the impact range and fault type are estimated, and warning information is generated. The warning information includes the equipment information of the communication equipment within the impact range. The warning type also includes detailed information such as the expected fault cause and location, and early warning.

[0052] Step S210 may specifically include steps S201 to S203.

[0053] Step S201: Obtain power outage time information and power outage area information included in the power outage information.

[0054] This step uses the existing automatic collection program to collect power outage announcement information on the State Grid website to obtain power outage announcements in Shijiazhuang City, Hebei Province within seven days. The power outage announcement will publish specific power outage information, including power outage time information and power outage area information. The power outage time information includes the start time and end time of the power outage; the power outage area information includes the power outage involved in the range from XX Road, XX Street, XX City, XX Province to XX Road, XX Street, XX City, XX Province. Exemplarily, the power outage information may be: a large-scale power outage occurred in the range from XX Road, XX Street, XX District, Shijiazhuang City, Hebei Province to XX Road, XX Street, XX District, Shijiazhuang City, Hebei Province, and the power outage time is from XX month XX day, XX year to XX month XX year.

[0055] Step S202: Calculate the longitude and latitude range information of the power outage area according to the power outage area information.

[0056] In step S201, after analyzing the power outage time information and the power outage range information, the power outage area contained in the power outage information is calculated according to the range to which the address belongs, and the longitude and latitude range information of the power outage area is obtained. In this step, the relevant GPS positioning system (Global Positioning System, GPS) can be used for positioning, and the streets and routes in the power outage area are positioned to determine which district or county the XX street and XX road belong to, thereby parsing the district or county range to which the power outage area belongs. For example, the power outage information shows that a large-scale power outage occurs within the range of XX street and XX road in XX district, Shijiazhuang City, Hebei Province to XX street and XX road in XX district, Shijiazhuang City, Hebei Province. With the help of the GPS positioning system for location positioning, it can be determined that the power outage area belongs to XX county, Shijiazhuang City, Hebei Province. At the same time, with the help of tools and materials such as maps and globes, the longitude and latitude range information of the power outage area can be further obtained.

[0057] Step S203: based on the longitude and latitude range information of the power outage area, estimate the number of base stations and base station range information affected by the fault within the longitude and latitude range of the power outage area.

[0058] According to step S202, after obtaining the longitude and latitude range information of the power outage, the number of base stations configured in the rectangular area enclosed by the longitude and latitude of the power outage range is counted to obtain the number of base stations, and the location information of each base station is determined with the help of the GPS positioning system. According to the number of base stations within the longitude and latitude range of the power outage area and the position relationship of each base station, the range covered by the base station is determined to obtain the base station range information.

[0059] Step S220: When the fault alarm information in the target area meets the preset conditions and is confirmed to be a large-area fault, the fault assessment data corresponding to the device information of the alarm communication device is obtained.

[0060] The equipment information of the alarm communication equipment also includes the fault alarm information of the power supply equipment and the base station decommissioning alarm information. The fault alarm information of the power supply equipment indicates that when the power supply equipment fails, the faulty power supply equipment sends an alarm prompt signal; the base station decommissioning alarm information indicates that when the power supply equipment fails, causing the base station to decommission due to lack of power support, the base station sends a decommissioning alarm prompt signal.

[0061] The fault alarm information of the power supply equipment and the base station decommissioning alarm information can be stored in the fault management system. The fault management system can be a complete system developed and used by the user to monitor and acquire data of all communication equipment in the target area in real time. Therefore, the fault alarm information of the power supply equipment and the base station decommissioning alarm information can be used as key fault assessment data for communication equipment fault assessment. Since the fault alarm information of the power supply equipment and the base station decommissioning alarm information change in real time, the fault alarm information of the power supply equipment and the base station decommissioning alarm information are dynamic evaluation data in the fault assessment data.

[0062] Acquiring the fault assessment parameters corresponding to the device information of the alarm communication device specifically includes steps S221 to S223.

[0063] Step S221: Determine the number of faulty power supply devices in the target area according to the fault alarm information of the power supply devices and the base station out-of-service alarm information.

[0064] When a power outage occurs in the power supply equipment in the target area, the base station will be decommissioned due to the lack of sufficient power support from the power supply equipment. At this time, the faulty power supply equipment will issue a fault alarm prompt, and the fault alarm information of the power supply equipment will be transmitted to the fault collection system in real time for storage; at the same time, the base station will issue a decommissioning alarm prompt, and the base station decommissioning alarm information will be transmitted to the fault collection system in real time for storage. The user can collect the power supply equipment fault alarm information and base station decommissioning alarm information from the fault management system in real time. According to the power supply equipment fault alarm information and base station decommissioning alarm information collected in the fault management system, the user can count the number of faulty power supply equipment in the target area.

[0065] For example, 50 base stations are configured within the range of XX Road, XX Street, XX District, XX County, Shijiazhuang City, Hebei Province to XX Road, XX Street, XX District, XX County, Shijiazhuang City, Hebei Province. Usually, the number of computer rooms is fixed, for example, 5, and each computer room is equipped with 6 power supply devices, a total of 30 power supply devices, which are used to supply power to 50 base stations. When a power outage occurs, the user monitors from the fault management system that some of the 30 power supply devices are affected by the power outage. According to statistics, 25 power supply devices are affected by the fault, and 40 base stations are decommissioned due to the fault.

[0066] Step S222: Compare the ratio of the number of faulty power supply devices in the target area to the number of all power supply devices in the target area with a preset threshold value, and confirm that the preset condition is met when the ratio is greater than the preset threshold value.

[0067] In this step, when the ratio of the number of faulty power supply devices in the target area to the number of all power supply devices in the target area exceeds a preset threshold, it can be determined that a large-scale power outage has occurred in the target area and an early warning is required.

[0068] Exemplarily, the preset threshold value is 80%. As mentioned above, when a power outage occurs, there are 25 power supply devices affected in the range from XX Road, XX Street, XX District, XX County, Shijiazhuang City, Hebei Province to XX Road, XX Street, XX District, XX County, Shijiazhuang City, Hebei Province. There are a total of 30 power supply devices in this range. The ratio of the number of failed power supply devices (25) to the number of all power supply devices (30) is 83.3%, which exceeds the preset threshold value of 80%. It is considered that a large-scale power outage has occurred in the area. Affected by the fault, 40 base stations in the area have been decommissioned, indicating that a large number of base station decommissioning events have occurred in the area. The above shows that the risk of failure in this area is very high, and the warning level will be raised to the highest level.

[0069] Step S223: According to the comparison result, the fault alarm information of the power supply equipment and the base station out-of-service alarm information are determined as fault assessment data.

[0070] If the ratio of the number of faulty power supply equipment in the target area to the number of all power supply equipment in the target area does not exceed the preset threshold value, it can be determined that no large-scale power outage or base station decommissioning has occurred in the target area, and the warning level is lowered. Each sub-area arranges a maintenance plan based on its own situation.

[0071] In addition to the dynamic evaluation data such as the fault alarm information of the power supply equipment and the base station decommissioning alarm information described in steps S221-S223, the acquired fault evaluation parameters also include static evaluation data such as the weight parameter data of the power supply equipment and the battery life parameter data of the power supply equipment.

[0072] The weight parameter data of the power supply equipment indicates the severity of the faults of multiple power supply equipments that have faults in the target area. The weight parameter value corresponding to the power supply equipment with serious faults is higher, and conversely, the weight parameter value corresponding to the power supply equipment with less severe faults is lower. The weight parameter data of the power supply equipment can be an empirical value and evaluated by manual scoring.

[0073] For example, the number of faulty power supply devices in the target area is 25, and weights are assigned to the 25 power supply devices according to the importance of the fault severity. The most serious power supply device can be assigned 3 points, the least serious power supply device can be assigned 1 point, and the 23 power supply devices in between can be weighted according to the severity of each sub-score.

[0074] After the power supply equipment is powered off, since the power supply equipment usually uses batteries as power support, the batteries have a battery life for a period of time after the power outage, which can support the power supply equipment to provide power to the base station for a certain period of time. Therefore, after the power supply equipment is powered off, the remaining battery life of the battery also becomes an important evaluation parameter in the fault assessment data. The power supply equipment battery life parameter data can be an empirical value, which is evaluated through manual scoring.

[0075] Exemplarily, if the battery life of the power supply equipment is within 1-30 minutes, the evaluation score weight is 3 points; if the battery life is within 30-60 minutes, the evaluation score weight is 2 points; if the battery life is within 60 minutes to 1 hour, the evaluation score weight is 1 point.

[0076] In summary, the fault alarm information of the power supply equipment and the base station decommissioning alarm information are collected in real time from the fault management system as dynamic evaluation data in the fault assessment data, and the weighted empirical values ​​are assigned to the static evaluation data such as the weight parameter data of the power supply equipment and the battery life parameters of the power supply equipment.

[0077] In one embodiment, obtaining the fault assessment parameter corresponding to the device information of the communication device specifically includes looping through steps S224 to S227.

[0078] Step S224: Obtain power outage alarm information of the power supply ring and wireless base station out-of-service alarm information.

[0079] In this embodiment, the dynamic environment refers to the power environment monitoring system. The power environment monitoring system implements functions such as "telemetry, telesignaling, remote control, and remote adjustment" for intelligent and non-intelligent equipment such as communication power supplies, battery packs, UPS (Uninterruptible Power Supply), generators, air conditioners, and environmental quantities such as temperature and humidity, smoke, ground water, and access control, based on the equipment characteristics and working environment of various communication equipment (including communication rooms, base stations, branch offices, module offices, etc.). The power failure alarm information of the dynamic environment can be understood as the fault alarm information of the above-mentioned power supply equipment.

[0080] As mentioned above, users can collect power outage alarm information of power ring and base station out-of-service alarm information in real time from the fault management system.

[0081] Step S225: cluster the power outage alarm information of the power supply ring and the wireless base station out-of-service alarm information into computer rooms.

[0082] In this step, the data monitored by the fault management system includes two types of data: power outage alarm information of the power supply system and wireless base station decommissioning alarm information. If the two types of data indicate that the faulty power supply equipment comes from one computer room, the number of computer rooms where the fault occurs can be confirmed based on the power outage alarm information of the power supply system and the wireless base station decommissioning alarm information. According to the computer room clustering processing method, the power outage alarm information of the power supply system and the wireless base station decommissioning alarm information are converted into the number information of the computer rooms where the fault occurs.

[0083] Step S226: Cluster the power outage alarm information of the power supply ring and the wireless base station out-of-service alarm information by district and county.

[0084] As described in step S225, after the power outage alarm information of the power ring and the wireless base station out-of-service alarm information are converted into the number information of the computer room where the fault occurs, the county and city range of the target area to which the computer room where the fault occurs belongs can be determined according to the specific county and city range in the target area to which the computer room belongs. In the fault management system, the user can intuitively obtain the specific county and city range location of the computer room where the fault occurs in the target area.

[0085] Step S227: Determine whether the threshold is triggered, if so, proceed to the next step S230.

[0086] According to step S226, after obtaining the specific county and city scope within the target area to which the faulty computer room belongs, by comparing the ratio of the number of faulty power supply equipment within the specific county and city scope of the target area to the number of all power supply equipment within the specific county and city scope of the target area, as described in step S222, when the ratio exceeds the threshold value, it can be determined that a large-scale power outage has occurred in the target area, and an early warning is required. If the ratio does not exceed the threshold value, it can be determined that no large-scale power outage or base station decommissioning event has occurred in the target area, and the early warning level is lowered. Please refer to the description of steps S222-S223 for details, which will not be repeated here.

[0087] Step S230: Process the fault assessment data, and determine a unified scheduling plan for maintenance of alarm communication equipment faults in the target area in combination with the fault warning information.

[0088] When a large-scale power outage or base station outage occurs, how to quickly and reasonably dispatch limited manpower, vehicles, oil engines and other resources to the most serious fault point becomes the key task of communication equipment fault maintenance in the target area. Early warning of faults and rapid and accurate assessment of fault assessment data after the fault occurs facilitate the arrangement of emergency repairs by relevant maintenance personnel, thereby minimizing damage to customer services.

[0089] Therefore, it is necessary to process the fault assessment data, and use the results of data processing as the basis for the communication equipment fault maintenance scheduling plan in the target area, and further combine the warning information content for this area and other areas in the fault warning information to accurately confirm the cause and location of the fault, etc., which is more conducive to making efficient and accurate cross-regional unified fault maintenance scheduling plans. For example, for the main causes of faults caused by different factors such as temporary sudden power outages, rain, snow and lightning, the core location of the fault and the solution are different, the optimal scheduling plan can be efficiently made according to the warning information.

[0090] In one embodiment, step S230 specifically includes: step S231 - step S232.

[0091] Step S231: Perform weighted averaging processing on the fault assessment data to obtain importance data of the communication equipment that has failed in the target area.

[0092] Before step S231, the fault assessment data needs to be cleaned for data that does not meet the requirements, such as incomplete data, erroneous data, and redundant data. During the cleaning process, a simple field matching algorithm is used to identify and process the fault assessment data. The above processing method adopts the data cleaning method in the prior art, which will not be repeated here. After data cleaning, data normalization processing is performed. The normalization processing method also adopts the method in the prior art, which will not be repeated here.

[0093] After data cleaning and normalization preprocessing, weights are assigned to the three dimensions of evaluation data: fault alarm information of power supply equipment and base station decommissioning alarm information, weight parameter data of power supply equipment, and battery life parameter data of power supply equipment. Weights are assigned according to the importance of each evaluation data to the fault evaluation. In this implementation, the entropy method can be used to calculate the weight, that is, the weight value of each attribute is calculated according to the degree of fluctuation of the evaluation data in the three dimensions.

[0094] Exemplarily, in terms of the importance of fault assessment, the user is most concerned about the fault alarm information and base station decommissioning alarm information of the power supply equipment, followed by the battery life parameter data of the power supply equipment, and finally the weight parameter data of the power supply equipment. Since when a large-scale power outage or base station decommissioning event occurs in the target area, the user can first obtain the number of power supply equipment affected by the fault and the number of base stations affected by the fault from the fault alarm information and base station decommissioning alarm information of the power supply equipment, then the proportion of the fault alarm information and base station decommissioning alarm information of the power supply equipment should be the highest, for example, accounting for 50%, and the weight value can be assigned to 3 points. After a fault occurs, since the battery in the power supply equipment has a certain battery life, it provides a certain amount of maintenance time for maintenance personnel, so for fault assessment, the battery life parameter data of the power supply equipment is also an important evaluation parameter, but its importance is lower than the fault alarm information and base station decommissioning alarm information of the power supply equipment, and the weight value can be assigned to 2 points. The importance of the weight parameter data of the power supply equipment is lower than the previous two fault assessment parameters, and a weight value of 1 point can be assigned.

[0095] The three fault assessment parameters mentioned above after weight assignment are weighted averaged, and in the same manner as above, fault importance assessment is performed on the fault assessment data of all communication equipment affected by the fault in the target area, and finally the fault assessment importance data of the communication equipment that has a fault in the target area is output.

[0096] Step S232: Determine a maintenance scheduling plan for communication equipment failures in the target area based on the importance data and in combination with the fault warning information.

[0097] Through step S231, the fault assessment importance weight values ​​of all communication devices that have failed in the target area are obtained. If the fault assessment importance weight value of the communication device that has failed at a certain position in the target area is the largest, it means that the fault of the communication device at this position is the most serious. When formulating a fault maintenance scheduling plan, it is necessary to give priority to dispatching a large number of related communication maintenance personnel, vehicles, oil engines and other resources to the most important fault point for maintenance. For communication equipment that is less affected by the fault and has a smaller weight value of the importance of the fault assessment, the relevant communication maintenance personnel can reasonably plan and dispatch a small amount of manpower, vehicles, oil engines and other resources to the fault point for maintenance based on the on-site situation. By formulating a reasonable scheduling plan and optimizing manpower, vehicles and other resources, it can not only save manpower and material resources, but also improve the efficiency of on-site maintenance work. Therefore, it is particularly important to determine a reasonable fault maintenance scheduling plan based on the fault assessment importance weight values ​​of the communication equipment that has failed in the target area.

[0098] The method of the present application uses a combination of dynamic evaluation parameters and static evaluation parameters to perform fault assessment of communication equipment, replacing the previous method of assigning weights to evaluation parameters based on manual experience, which results in a single evaluation index and poor accuracy of evaluation results. Based on the fault assessment results, the present method formulates a reasonable fault maintenance scheduling plan, saves manpower and material resources, and realizes the process from fault warning to monitoring, and then to accurately assessing the importance of faulty communication equipment after the fault occurs, formulates real-time scheduling, improves the efficiency of on-site maintenance work, and minimizes damage to customer services. The fault assessment results using this method are closer to the actual situation of large-scale faults in the target area.

[0099] Please refer to Figure 3 , which is a fault warning evaluation method device provided in an embodiment of the present application, the device includes: a warning module 701, an acquisition module 702, and a processing module 703.

[0100] The early warning module 701 is used to obtain the fault impact information of the target area in the public opinion information in real time, and generate fault early warning information according to the fault impact information to perform fault early warning.

[0101] The acquisition module 702 is used to acquire fault assessment data corresponding to the device information of the alarm communication device when the fault alarm information in the target area meets the preset conditions and is confirmed to be a large-area fault.

[0102] The processing module 730 is used to process the fault assessment data and determine a unified scheduling plan for the maintenance of the alarm communication equipment faults in the target area in combination with the fault warning information.

[0103] The implementation process of the functions and effects of each module in the above-mentioned device is specifically described in the implementation process of the corresponding steps in the above-mentioned fault assessment method, which will not be repeated here.

[0104] In several embodiments provided in the present application, the disclosed devices and methods may also be implemented in other ways. The device embodiments described above are merely schematic, for example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram may represent a module, a program segment or a part of a code, and a module, a program segment or a part of a code contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they may sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of boxes in the block diagram and / or the flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0105] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0106] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of each embodiment of the present application.

Claims

1. A fault monitoring and scheduling method, characterized in that: include: Acquire the fault impact information of the target area in the public opinion information in real time, and generate fault warning information according to the fault impact information to perform fault warning; When the fault alarm information in the target area meets the preset conditions and is confirmed as a large-area fault, the fault assessment data corresponding to the device information of the alarm communication device is obtained; The fault assessment data is processed, and combined with the fault warning information, a unified scheduling plan for maintenance of alarm communication equipment faults in the target area is determined.

2. The fault monitoring and dispatching method according to claim 1, characterized in that: The fault impact information includes natural disaster information and power outage information. The real-time acquisition of the fault impact information of the target area in the public opinion information includes: According to the regional division strategy and the keyword screening strategy, the natural disaster information in the target area is obtained in real time; the power outage information in the target area is obtained in real time.

3. The fault monitoring and dispatching method according to claim 2, characterized in that: Generating fault warning information according to the fault impact information and performing fault warning includes: The warning information is generated according to the fault impact information, the estimated impact range and the fault type, and the warning information includes the device information of the communication devices within the impact range.

4. The fault monitoring and dispatching method according to claim 3, characterized in that: The device information of the alarm communication device includes: base station quantity information and base station range information, and the device information of the communication device within the affected range includes: Obtaining power outage time information and power outage area information contained in the power outage information; Calculate the longitude and latitude range information of the power outage area according to the power outage area information; According to the longitude and latitude range information of the power outage area, the number information of the base stations and the range information of the base stations affected by the fault within the longitude and latitude range of the power outage area are estimated.

5. The fault monitoring and dispatching method according to claim 1, characterized in that: The fault alarm information includes: fault alarm information of the power supply equipment and base station out-of-service alarm information, wherein the power supply equipment is used to supply power to the base station, and when the fault alarm information in the target area meets the preset conditions and is confirmed as a large-area fault, the fault assessment data corresponding to the equipment information of the alarm communication equipment is obtained, including: Determine the number of power supply devices that have failed in the target area according to the fault alarm information of the power supply device and the base station decommissioning alarm information; Comparing the ratio of the number of the power supply devices that have failed in the target area to the number of all power supply devices in the target area with a preset threshold value; When the value is greater than the preset threshold value, it is confirmed that the preset condition is met, and the fault alarm information of the power supply equipment and the base station decommissioning alarm information are determined as the fault assessment data.

6. The fault monitoring and dispatching method according to claim 5, characterized in that: The fault assessment data also includes: weight parameter data of the power supply device, and battery life parameter data of the power supply device.

7. The fault monitoring and dispatching method according to claim 1, characterized in that: The processing of the fault assessment data and determining a unified scheduling scheme for fault maintenance of the alarm communication equipment in the target area in combination with the fault warning information includes: Performing weighted average processing on the fault assessment data to obtain importance data of the communication equipment that has failed in the target area; A communication equipment fault maintenance scheduling plan within the target area is determined based on the importance data and combined with the fault warning information.

8. A fault monitoring and dispatching device, characterized in that: include: An early warning module is used to obtain the fault impact information of the target area in the public opinion information in real time, and generate fault early warning information according to the fault impact information to perform fault early warning; An acquisition module is used to acquire fault assessment data corresponding to the device information of the alarm communication device when the fault alarm information in the target area meets the preset conditions and is confirmed as a large-area fault; The processing module is used to process the fault assessment data and determine a unified scheduling plan for maintenance of alarm communication equipment faults in the target area in combination with the fault warning information.

9. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to execute the fault monitoring and scheduling method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the processor, it is used to execute the fault monitoring and scheduling method according to any one of claims 1 to 7.

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