CN117279018A - Equipment operation health assessment method, system and readable storage medium - Google Patents
Equipment operation health assessment method, system and readable storage medium Download PDFInfo
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Abstract
The application discloses a device operation health assessment method, a system and a readable storage medium, wherein the method comprises the following steps: acquiring and analyzing terminal information of each mobile terminal in a signal coverage area of front-end equipment to generate a terminal information set; scanning and analyzing to obtain network environment parameters of the area where the front-end equipment is located, and finishing to generate a network environment information set; carrying out abnormal alarm analysis on the acquired data of various sensors in the front-end equipment to obtain alarm information; based on the terminal information set, the network environment information set and the alarm information, carrying out data statistics, analysis and calculation to generate comprehensive operation and maintenance information; and according to the comprehensive operation and maintenance information, combining with a preset health degree evaluation rule, and calculating to obtain the operation health degree of the front-end equipment. According to the method and the device, the fault equipment is timely found based on the operation health degree, the fault reasons and the corresponding maintenance modes can be determined through the scores of all the items, the fault detection is not needed to be carried out on site, the operation and maintenance efficiency is improved, and the intellectualization and the automation of operation and maintenance work are promoted.
Description
Technical Field
The present application relates to the field of device detection, and more particularly, to a device operation health assessment method, system, and readable storage medium.
Background
In the existing operation and maintenance mode, an alarm system is usually built in the equipment and transmits alarm information to the background in real time, and after the background uniformly processes the alarms reported by the equipment, a background manager periodically informs the equipment operation and maintenance personnel to maintain so as to ensure the operation effect of the equipment. Because the equipment is widely distributed and the traffic environment of the located position is complex, the following problems are easy to occur: firstly, the equipment is easy to misjudge only according to equipment alarming, the specific reason of equipment failure cannot be accurately checked by reporting alarming information on the equipment, operation and maintenance personnel are required to arrive at the equipment to scan and analyze the equipment by using a special instrument to judge the specific problem of the equipment, and then the equipment is maintained according to the analysis result, so that the maintenance efficiency is low; secondly, when a background manager judges that the equipment has a fault, the background manager can inform operation and maintenance personnel to go to maintenance, so that the personnel operation and maintenance efficiency is low, the response speed is low, and the operation and maintenance work has a hysteresis problem; thirdly, the operation and maintenance cost is high, the equipment lacks self-operation and maintenance and analysis functions, the alarm types are not rich enough, background management staff is required to cooperate with operation and maintenance staff to maintain the equipment, and the project labor cost is high.
Therefore, an equipment operation health evaluation scheme is urgently needed to realize analysis and evaluation of equipment operation conditions, help operation and maintenance personnel reduce workload, improve work efficiency and enhance equipment stability.
Disclosure of Invention
In view of this, the application provides a method, a system and a readable storage medium for evaluating the running health of equipment, wherein, a terminal information set, a network environment information set and alarm information collected by front-end equipment are analyzed to obtain comprehensive operation and maintenance information, a back-end operation and maintenance platform uniformly receives the information reported by the front-end equipment and analyzes the running health, and timely discovers fault equipment based on the running health, and can immediately determine the fault cause and corresponding maintenance mode through the scoring of each item, so that the fault detection is not needed after the equipment arrives at the site, the operation and maintenance efficiency is improved, and the intellectualization and automation of operation and maintenance work are promoted.
A device operational health assessment method, comprising:
acquiring and analyzing terminal information of each mobile terminal in the signal coverage range of the front-end equipment to generate a terminal information set;
scanning and analyzing to obtain network environment parameters of the area where the front-end equipment is located, and finishing to generate a network environment information set;
performing abnormal alarm analysis on the acquired data of various sensors in the front-end equipment to obtain alarm information;
based on the terminal information set, the network environment information set and the alarm information, carrying out data statistics and analysis calculation to generate comprehensive operation and maintenance information;
and according to the comprehensive operation and maintenance information, combining with a preset health degree evaluation rule, and calculating to obtain the operation health degree of the front-end equipment.
Optionally, the comprehensive operation and maintenance information comprises a data same-loop ratio analysis result, a data transmission delay, a data return completion degree, a resident person capturing rate, an inter-frequency parameter matching integrity degree and an alarm classification result;
performing data statistics and analysis calculation based on the terminal information set, the network environment information set and the alarm information to generate comprehensive operation and maintenance information, wherein the comprehensive operation and maintenance information comprises:
carrying out statistical analysis according to the terminal information set to obtain the data transmission delay and the data return completion degree, and calculating to obtain the data same-loop ratio analysis result and the resident capturing rate;
analyzing and calculating to obtain the different-frequency parameter integrity according to the network environment information set;
refining the alarm information according to the operation and maintenance emergency degree and the fault category to obtain the alarm classification result;
and determining the data same-loop ratio analysis result, the data transmission delay, the data return completion degree, the resident person capturing rate, the different-frequency parameter matching integrity and the alarm classification result as comprehensive operation and maintenance information.
Optionally, according to the comprehensive operation and maintenance information, in combination with a preset health evaluation rule, the operation health of the front-end device is obtained by calculation, including:
according to a preset data quality scoring rule, calculating to obtain equipment data quality scores according to the data same-ring ratio analysis result, the data transmission delay, the data return completion degree and the resident capturing rate in the comprehensive operation and maintenance information;
according to the different-frequency parameter matching integrity in the comprehensive operation and maintenance information, combining the importance weight of the network environment parameters, and calculating to obtain a network environment score;
according to a preset equipment alarm scoring rule, calculating according to the alarm classification result in the comprehensive operation and maintenance information to obtain equipment alarm scores;
and calculating the operation health degree of the front-end equipment according to the equipment data quality score, the network environment score and the equipment alarm score.
Optionally, according to the device data quality score, the network environment score and the device alarm score, a calculation formula for calculating the operation health degree of the front-end device is as follows:
；
wherein,for the operational health of the head-end equipment +.>The device data quality score, the network environment score and the device alarm score are respectively.
Optionally, the network environment parameters include an environment frequency point, a priority and a switching threshold;
and the inter-frequency parameter matching integrity is determined by comparing the environment frequency points, the priority and the switching threshold recorded in the network environment information set with a preset inter-frequency parameter matching template.
Optionally, the terminal information set includes IMSI, IMEI, and MAC information of each mobile terminal in the signal coverage area of the front-end device.
Optionally, the method further comprises:
when the operation health degree of the front-end equipment is monitored to be lower than a critical value, determining maintenance suggestions matched with equipment faults according to the comprehensive operation and maintenance information, generating an operation and maintenance condition report and carrying out maintenance prompt.
The equipment operation health assessment system comprises front-end equipment and a back-end operation and maintenance platform, wherein the front-end equipment and the back-end operation and maintenance platform are provided with a terminal information acquisition module, a network environment acquisition module, an alarm information acquisition module and a data preprocessing module;
the terminal information acquisition module acquires and analyzes terminal information of each mobile terminal in the signal coverage range of the front-end equipment to generate a terminal information set and sends the terminal information set to the data preprocessing module;
the network environment acquisition module obtains network environment parameters of the area where the front-end equipment is located through scanning and analysis, and the network environment parameters are arranged to generate a network environment information set and sent to the data preprocessing module;
the alarm information acquisition module performs abnormal alarm analysis based on the acquired data of various sensors in the front-end equipment and sends alarm information to the data preprocessing module;
the data preprocessing module performs data statistics, analysis and calculation on the received terminal information set, the received network environment information set and the received alarm information to generate comprehensive operation and maintenance information of the front-end equipment, and sends the comprehensive operation and maintenance information to the back-end operation and maintenance platform;
and the back-end operation and maintenance platform analyzes and obtains the operation health degree of the front-end equipment based on the received comprehensive operation and maintenance information.
The equipment operation health assessment system comprises a terminal information acquisition module, a power amplifier, a filter, a return module and a power supply conversion module.
A readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the steps of the device operation health assessment method according to any of the preceding claims.
From the above technical solution, it can be seen that, in the method, system and readable storage medium for evaluating equipment operation health provided in the embodiments of the present application, terminal information sets, network environment information sets and alarm information are obtained respectively, including collecting and analyzing terminal information of each mobile terminal in a signal coverage area of the front-end equipment to generate terminal information sets, scanning and analyzing to obtain network environment parameters of an area where the front-end equipment is located, sorting to generate network environment information sets, and performing abnormal alarm analysis on collected data of various sensors in the front-end equipment to obtain alarm information. And then, carrying out data statistics and analysis calculation based on the terminal information set, the network environment information set and the alarm information to generate comprehensive operation and maintenance information. And finally, according to the comprehensive operation and maintenance information, combining with a preset health evaluation rule, calculating to obtain the operation health of the front-end equipment, wherein the operation health can accurately reflect the operation state of the equipment.
The terminal information acquisition module, the network environment acquisition module and the alarm information acquisition module are used for analyzing and acquiring terminal information sets, network environment information sets and alarm information, the data preprocessing module is used for comprehensively analyzing and evaluating the data quality, the network environment and the alarm information of the equipment to generate comprehensive operation and maintenance information, the back-end operation and maintenance platform is used for uniformly receiving the information reported by the front-end equipment and analyzing the operation health, an operator can timely find out fault equipment through the operation health obtained by the back-end operation and maintenance platform, and can immediately determine fault reasons and corresponding maintenance modes through various item scores, fault detection is carried out after the equipment does not need to arrive at the site, the operation and maintenance efficiency is improved, and the intellectualization and automation of operation and maintenance work are promoted.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings may be obtained according to the provided drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic diagram of an equipment operation health assessment system disclosed in an embodiment of the present application;
fig. 2 is a schematic diagram of a terminal information acquisition process performed by a front-end device according to an embodiment of the present application;
fig. 3 is a flowchart of a method for evaluating device operation health according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The subject application is operational with numerous general purpose or special purpose computing device environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor devices, distributed computing environments that include any of the above devices or devices, and the like.
The embodiment of the application provides a device operation health assessment method which can be applied to a device operation health assessment system comprising front-end devices and a back-end operation and maintenance platform.
The application provides a device operation health assessment system, as shown in fig. 1, the device operation health assessment system comprises front-end devices and a back-end operation and maintenance platform, wherein the front-end devices and the back-end operation and maintenance platform are provided with a terminal information acquisition module, a network environment acquisition module, an alarm information acquisition module and a data preprocessing module. The following describes each module in the front-end equipment and the back-end operation platform in detail.
Terminal information acquisition module:
the terminal information acquisition module acquires and analyzes the terminal information of each mobile terminal in the signal coverage range of the front-end equipment to generate a terminal information set and sends the terminal information set to the data preprocessing module.
The terminal information acquisition module can be composed of a baseband board, a network board, a power amplifier, a filter, a return module and a power conversion module, and is mainly used for acquiring information including IMSI (mobile terminal identity information), IMEI (international mobile equipment identification code), MAC address and the like of 2G/3G/4G/5G, and finishing various acquired information into a terminal information set to be returned to the data preprocessing module. For example, mobile terminal information in the coverage area of the front-end device is collected, and a set of data corresponding to each mobile terminal is obtained through analysis: IMSI, IMEI, MAC, and generating a terminal information set from all the collected terminal information: { imsi_2, imei_2, MAC2}, and..once again..the { imsi_n, imei_n, mac_n }, is sent to the data preprocessing module.
The front-end equipment comprises three steps of sending a base station signal, adsorbing a terminal and releasing the terminal. The first front end equipment transmits corresponding base station signals according to network information of a location operator, the equipment continuously updates own TAC to generate a new cell, when a terminal in a coverage area scans the new TAC, the terminal enters a new location area for the terminal, a location update request is triggered, the terminal selects a device cell residence according to a cell switching criterion, an access device network is requested, an electronic number of the terminal is reported, the terminal is refused to access the network after the electronic number of the terminal is obtained by the equipment, and the terminal returns to a normal public network base station.
Fig. 2 is a schematic diagram of a terminal information acquisition process performed by a front-end device. As shown in fig. 2, the acquisition procedure includes:
(1) the public network base station interacts with the mobile terminal in real time to provide services such as calling and accessing for the mobile terminal;
(2) the front-end equipment modifies equipment parameters according to network information of the located position operators, so that the equipment transmits corresponding base station signals, and the equipment continuously updates own TAC to generate a new cell;
(3) when the mobile terminal scans a new TAC, the mobile terminal triggers a position update request and starts cell reselection;
(4) the mobile terminal applies for switching to the equipment cell and reports the terminal information of the mobile terminal to the front-end equipment;
(5) the front-end equipment acquires the electronic information of the mobile terminal, encrypts and stores the electronic information, and then sends a signaling to reject the mobile terminal to access so that the mobile terminal returns to the public network;
(6) the mobile terminal falls back to the public network, and the terminal information acquisition flow is ended.
The network environment acquisition module:
and the network environment acquisition module obtains the network environment parameters of the area where the front-end equipment is located through scanning and analysis, sorts and generates a network environment information set and sends the network environment information set to the data preprocessing module.
The network environment acquisition module acquires information mainly comprising network environment parameters such as an environment frequency point, a priority, a switching threshold and the like, and sorts the scanned network environment parameters into a network environment information set which is transmitted back to the data preprocessing module. For example, the network environment around the front-end equipment is scanned and analyzed to obtain frequency points, priority and switching threshold parameters, the equipment parameters are adaptively adjusted through the scanning result, and the network environment parameters are arranged into a network environment information set: { C11', C12', C13',..
{ CN1', CN2', CN3',.
Because the normal operation of the front-end equipment depends on the network environment parameters of the operators, the network environment of the operators can be acquired in real time through the network environment acquisition module, and the equipment parameters are self-adaptively adjusted based on the scanning result, so that the stable operation of the equipment is ensured.
Alarm information acquisition module:
the alarm information acquisition module performs abnormal alarm analysis based on the acquired data of various sensors in the front-end equipment and sends alarm information to the data preprocessing module.
And a data preprocessing module:
and the data preprocessing module performs data statistics, analysis and calculation on the received terminal information set, the received network environment information set and the received alarm information, generates comprehensive operation and maintenance information of the front-end equipment, and sends the comprehensive operation and maintenance information to the back-end operation and maintenance platform.
The data preprocessing module is used as a basic data unit for information fusion, and has the main functions of summarizing and processing all acquired data, analyzing a plurality of items such as data quality, network environment, alarm information and the like of equipment one by one, generating comprehensive operation and maintenance information, and uploading the formed comprehensive operation and maintenance information to the back-end operation and maintenance platform.
And the back-end operation and maintenance platform comprises:
and the back-end operation and maintenance platform analyzes and obtains the operation health degree of the front-end equipment based on the received comprehensive operation and maintenance information.
The back-end operation and maintenance platform receives the data of the front-end equipment through a wired or wireless link, analyzes the acquired comprehensive operation and maintenance information, analyzes the terminal information set, the network environment information set, the alarm information and the like, calculates the health score of each item through a preset health evaluation rule, thereby obtaining the health of the front-end equipment, and intelligently recommends the operation and maintenance and processing modes of the equipment.
Next, the present application is presented with the following technical solutions, see in detail below.
Fig. 3 is a flowchart of a method for evaluating device operation health according to an embodiment of the present application.
As shown in fig. 3, the method may include:
and S1, collecting and analyzing terminal information of each mobile terminal in the signal coverage range of the front-end equipment to generate a terminal information set.
Specifically, terminal information of each mobile terminal in the signal coverage area of the front-end device is collected and analyzed, and information including an IMSI (mobile terminal identity information), an IMEI (international mobile equipment identity), an MAC address, and the like of 2G/3G/4G/5G is mainly collected and analyzed to obtain a set of data corresponding to each mobile terminal: IMSI, IMEI, MAC, and generating a terminal information set from all the collected terminal information: { imsi_2, imei_2, MAC2}, and @, the term "imsi_n, imei_n, mac_n }, that is, the terminal information set includes IMSI, IMEI, and MAC information of each mobile terminal in the signal coverage area of the front-end device.
And S2, scanning and analyzing to obtain network environment parameters of the area where the front-end equipment is located, and tidying to generate a network environment information set.
Specifically, the network environment surrounding the front-end equipment is scanned and analyzed, and the network environment comprises network environment parameters such as an environment frequency point, a priority, a switching threshold and the like, and the scanned network environment parameters are arranged into a network environment information set: { C11', C12', C13',..'
,CN3’,......}。
And S3, carrying out abnormal alarm analysis on the acquired data of various sensors in the front-end equipment to obtain alarm information.
And S4, carrying out data statistics, analysis and calculation based on the terminal information set, the network environment information set and the alarm information to generate comprehensive operation and maintenance information.
Specifically, the terminal information set, the network environment information set and the alarm information are summarized and processed, and a plurality of items such as data quality, network environment and alarm information of the equipment are analyzed one by one to generate comprehensive operation and maintenance information of the front-end equipment.
And S5, according to the comprehensive operation and maintenance information, combining a preset health degree evaluation rule, and calculating to obtain the operation health degree of the front-end equipment.
Specifically, the comprehensive operation and maintenance information is analyzed, including the terminal information set, the network environment information set, the alarm information and the like, and the health score of each item is calculated through a preset health evaluation rule, so that the health degree of the front-end equipment is obtained.
Optionally, the method further comprises:
and S6, when the operation health degree of the front-end equipment is monitored to be lower than a critical value, determining maintenance suggestions matched with equipment faults according to the comprehensive operation and maintenance information, generating an operation and maintenance condition report and carrying out maintenance prompt.
It can be understood that the method and the device can also have the functions of monitoring the operation health degree of the front-end equipment and regularly generating the health condition report, and when the operation health degree of the front-end equipment is monitored to be lower than a critical value, the maintenance suggestion matched with the equipment fault can be determined according to the comprehensive operation and maintenance information, the operation and maintenance condition report is generated and maintenance prompt is carried out. For example, the health degree is 100 at the highest, when the health degree is lower than 60, the operation and maintenance personnel are notified, and corresponding fault conditions and maintenance suggestions are fed back, so that the operation and maintenance personnel can repair the fault equipment as soon as possible, and the maintenance speed and the maintenance efficiency are improved.
From the above technical solution, it can be seen that, in the method, system and readable storage medium for evaluating equipment operation health provided in the embodiments of the present application, terminal information sets, network environment information sets and alarm information are obtained respectively, including collecting and analyzing terminal information of each mobile terminal in a signal coverage area of the front-end equipment to generate terminal information sets, scanning and analyzing to obtain network environment parameters of an area where the front-end equipment is located, sorting to generate network environment information sets, and performing abnormal alarm analysis on collected data of various sensors in the front-end equipment to obtain alarm information. And then, carrying out data statistics and analysis calculation based on the terminal information set, the network environment information set and the alarm information to generate comprehensive operation and maintenance information. And finally, according to the comprehensive operation and maintenance information, combining with a preset health evaluation rule, calculating to obtain the operation health of the front-end equipment, wherein the operation health can accurately reflect the operation state of the equipment.
The terminal information acquisition module, the network environment acquisition module and the alarm information acquisition module are used for analyzing and acquiring terminal information sets, network environment information sets and alarm information, the data preprocessing module is used for comprehensively analyzing and evaluating the data quality, the network environment and the alarm information of the equipment to generate comprehensive operation and maintenance information, the back-end operation and maintenance platform is used for uniformly receiving the information reported by the front-end equipment and analyzing the operation health, an operator can timely find out fault equipment through the operation health obtained by the back-end operation and maintenance platform, and can immediately determine fault reasons and corresponding maintenance modes through various item scores, fault detection is carried out after the equipment does not need to arrive at the site, the operation and maintenance efficiency is improved, and the intellectualization and automation of operation and maintenance work are promoted.
In some embodiments of the present application, the comprehensive operation and maintenance information may include a data same-loop ratio analysis result, a data transmission delay, a data backhaul completion degree, a resident capturing rate, an inter-frequency parameter matching integrity degree, and an alarm hierarchical classification result, and then step S4, performing data statistics and analysis calculation based on the terminal information set, the network environment information set, and the alarm information, to generate a process of comprehensive operation and maintenance information may specifically include:
and S41, carrying out statistical analysis according to the terminal information set to obtain the data transmission delay and the data return completion degree, and calculating to obtain the data same-cycle ratio analysis result and the resident acquisition rate.
And step S42, analyzing and calculating to obtain the different-frequency parameter distribution integrity according to the network environment information set.
And step S43, refining the alarm information according to the operation and maintenance emergency degree and the fault category to obtain the alarm classification result.
And S44, determining the data same-loop ratio analysis result, the data transmission delay, the data return completion degree, the resident acquisition rate, the inter-frequency parameter matching integrity and the alarm hierarchical classification result as comprehensive operation and maintenance information.
Specifically, the data same-ring ratio analysis result: the analysis result of the data same-cycle ratio comprises the steps of calculating the same ratio of the collection amount of the day and the day before the week, the collection amount Zhou Huanbi of the week and the week before the week, the daily cycle ratio of the collection amount of the day and the day before the year, and the like;
resident person capture rate: the resident acquisition rate is determined by the acquisition ratio in a preset period, for example, the resident acquisition rate is set to be in a 30-day period, wherein the resident acquisition rate is acquired by equipment in two time periods (6:00-12:00, 17:00-24:00) each day, and terminal information with the acquisition days exceeding 25 days is accumulated and is included in the resident file in the area. Daily statistics of the capture rate of resident files 100 resident files have been accumulated over the previous 30 day period, with yesterday
The number of the resident is 90, namely the resident capturing rate is 90%, and the side self-detects the yesterday device capturing rate.
Different frequency parameter matching integrity: the inter-frequency parameter matching integrity is determined by comparing the environment frequency point, the priority and the switching threshold recorded in the network environment information set with a preset inter-frequency parameter matching template, and a cell with complete configuration of parameters is represented only when all indexes of the cell are in accordance with each other, and any parameter is deleted to configure the missing cell:
inter-frequency parameter integrity= (parameter complete configuration cell number/total cell number) ×100%
The network environment parameters comprise environment frequency points, priority and a switching threshold, wherein the frequency points are the transmitting frequencies of corresponding operators, and the mobile terminal can only receive service on the corresponding frequency points; the priority is the priority of cell selection and reselection, the range is 1-7, and 7 is the highest priority; the switching threshold is that when the field intensity of the cell where the mobile terminal is located is lower than the switching threshold, the cell reselection process can be initiated.
Alarm classification results: as shown in table 1, the alarms are classified in a grading manner, and are respectively classified into a first stage, a second stage and a third stage from high to low according to the emergency degree of operation and maintenance; the fault type is divided into three types of alarms, namely uncontrollable type, hardware fault type and data abnormality type. By refining the alarm types and classifying the alarms in a grading way, the accurate reflection of the running state of the equipment is realized.
TABLE 1
Based on this, step S5, a process of calculating the operation health degree of the front-end device according to the comprehensive operation and maintenance information and in combination with a preset health degree evaluation rule may specifically include:
and step S51, calculating to obtain equipment data quality scores according to the data same-loop ratio analysis result, the data transmission delay, the data return completion degree and the resident capturing rate in the comprehensive operation and maintenance information according to a preset data quality scoring rule.
Specifically, table 2 provides an optional data quality scoring rule, and based on the data quality scoring rule, the equipment data quality score can be obtained according to the data same-loop ratio analysis result, the data transmission delay, the data return completion degree and the resident capturing rate in the comprehensive operation and maintenance information.
TABLE 2
And step S52, according to the different-frequency parameter distribution integrity in the comprehensive operation and maintenance information, combining the importance weight of the network environment parameters, and calculating to obtain a network environment score.
Specifically, the method and the device can give different importance weights to the frequency point, the priority and the switching threshold network environment parameters according to the importance, and calculate the network environment score according to the different-frequency parameter distribution integrity and the importance weights in the comprehensive operation and maintenance information.
And step S53, calculating to obtain equipment alarm scores according to the alarm classification results in the comprehensive operation and maintenance information according to preset equipment alarm scoring rules.
Specifically, table 3 provides an optional equipment alarm scoring rule, and based on the equipment alarm scoring rule, the equipment alarm score can be obtained by calculation according to the alarm classification result in the comprehensive operation and maintenance information.
TABLE 3 Table 3
And step S54, calculating the operation health degree of the front-end equipment according to the equipment data quality score, the network environment score and the equipment alarm score.
The calculation formula for calculating the operation health degree of the front-end equipment is as follows:
；
wherein,for the operational health of the head-end equipment +.>The device data quality score, the network environment score and the device alarm score are respectively.
The embodiment of the application also provides a readable storage medium, which can store a program suitable for being executed by a processor, the program being configured to:
acquiring and analyzing terminal information of each mobile terminal in the signal coverage range of the front-end equipment to generate a terminal information set;
scanning and analyzing to obtain network environment parameters of the area where the front-end equipment is located, and finishing to generate a network environment information set;
performing abnormal alarm analysis on the acquired data of various sensors in the front-end equipment to obtain alarm information;
based on the terminal information set, the network environment information set and the alarm information, carrying out data statistics and analysis calculation to generate comprehensive operation and maintenance information;
and according to the comprehensive operation and maintenance information, combining with a preset health degree evaluation rule, and calculating to obtain the operation health degree of the front-end equipment.
Alternatively, the refinement function and the extension function of the program may be described with reference to the above.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for evaluating the operational health of a device, comprising:
acquiring and analyzing terminal information of each mobile terminal in a signal coverage area of front-end equipment to generate a terminal information set;
scanning and analyzing to obtain network environment parameters of the area where the front-end equipment is located, and finishing to generate a network environment information set;
performing abnormal alarm analysis on the acquired data of various sensors in the front-end equipment to obtain alarm information;
based on the terminal information set, the network environment information set and the alarm information, carrying out data statistics and analysis calculation to generate comprehensive operation and maintenance information;
and according to the comprehensive operation and maintenance information, combining with a preset health degree evaluation rule, and calculating to obtain the operation health degree of the front-end equipment.
2. The method of claim 1, wherein the comprehensive operation and maintenance information comprises a data same-loop ratio analysis result, a data transmission delay, a data return completion degree, a resident person capturing rate, an inter-frequency parameter matching integrity degree and an alarm classification result;
performing data statistics and analysis calculation based on the terminal information set, the network environment information set and the alarm information to generate comprehensive operation and maintenance information, wherein the comprehensive operation and maintenance information comprises:
carrying out statistical analysis according to the terminal information set to obtain the data transmission delay and the data return completion degree, and calculating to obtain the data same-loop ratio analysis result and the resident capturing rate;
analyzing and calculating to obtain the different-frequency parameter integrity according to the network environment information set;
refining the alarm information according to the operation and maintenance emergency degree and the fault category to obtain the alarm classification result;
and determining the data same-loop ratio analysis result, the data transmission delay, the data return completion degree, the resident person capturing rate, the different-frequency parameter matching integrity and the alarm classification result as comprehensive operation and maintenance information.
3. The method according to claim 2, wherein calculating the operation health of the front-end device according to the integrated operation and maintenance information in combination with a preset health evaluation rule includes:
according to a preset data quality scoring rule, calculating to obtain equipment data quality scores according to the data same-ring ratio analysis result, the data transmission delay, the data return completion degree and the resident capturing rate in the comprehensive operation and maintenance information;
according to the different-frequency parameter matching integrity in the comprehensive operation and maintenance information, combining the importance weight of the network environment parameters, and calculating to obtain a network environment score;
according to a preset equipment alarm scoring rule, calculating according to the alarm classification result in the comprehensive operation and maintenance information to obtain equipment alarm scores;
and calculating the operation health degree of the front-end equipment according to the equipment data quality score, the network environment score and the equipment alarm score.
4. The method of claim 3, wherein the calculation formula for calculating the operation health of the front-end device according to the device data quality score, the network environment score, and the device alarm score is:
；
wherein,for the operational health of the head-end equipment +.>The device data quality score, the network environment score and the device alarm score are respectively.
5. The method of claim 2, wherein the network environment parameters include an environment frequency point, a priority, and a handover threshold;
and the inter-frequency parameter matching integrity is determined by comparing the environment frequency points, the priority and the switching threshold recorded in the network environment information set with a preset inter-frequency parameter matching template.
6. The method of claim 1, wherein the set of terminal information includes IMSI, IMEI, and MAC information for each mobile terminal within signal coverage of the head-end equipment.
7. The method as recited in claim 1, further comprising:
when the operation health degree of the front-end equipment is monitored to be lower than a critical value, determining maintenance suggestions matched with equipment faults according to the comprehensive operation and maintenance information, generating an operation and maintenance condition report and carrying out maintenance prompt.
8. The equipment operation health evaluation system is characterized by comprising front-end equipment and a back-end operation and maintenance platform, wherein the front-end equipment and the back-end operation and maintenance platform are provided with a terminal information acquisition module, a network environment acquisition module, an alarm information acquisition module and a data preprocessing module;
the terminal information acquisition module acquires and analyzes terminal information of each mobile terminal in the signal coverage range of the front-end equipment to generate a terminal information set and sends the terminal information set to the data preprocessing module;
the network environment acquisition module obtains network environment parameters of the area where the front-end equipment is located through scanning and analysis, and the network environment parameters are arranged to generate a network environment information set and sent to the data preprocessing module;
the alarm information acquisition module performs abnormal alarm analysis based on the acquired data of various sensors in the front-end equipment and sends alarm information to the data preprocessing module;
the data preprocessing module performs data statistics, analysis and calculation on the received terminal information set, the received network environment information set and the received alarm information to generate comprehensive operation and maintenance information of the front-end equipment, and sends the comprehensive operation and maintenance information to the back-end operation and maintenance platform;
and the back-end operation and maintenance platform analyzes and obtains the operation health degree of the front-end equipment based on the received comprehensive operation and maintenance information.
9. The system of claim 8, wherein the terminal information acquisition module is comprised of a baseband board, a network board, a power amplifier, a filter, a backhaul module, and a power conversion module.
10. A readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the device operation health assessment method according to any one of claims 1-7.
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