CN111079954A - Communication equipment overhaul management system based on big data - Google Patents
Communication equipment overhaul management system based on big data Download PDFInfo
- Publication number
- CN111079954A CN111079954A CN201911212997.6A CN201911212997A CN111079954A CN 111079954 A CN111079954 A CN 111079954A CN 201911212997 A CN201911212997 A CN 201911212997A CN 111079954 A CN111079954 A CN 111079954A
- Authority
- CN
- China
- Prior art keywords
- module
- maintenance
- hardware information
- equipment
- codes
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004891 communication Methods 0.000 title claims abstract description 56
- 238000012423 maintenance Methods 0.000 claims abstract description 177
- 230000007547 defect Effects 0.000 claims abstract description 35
- 238000003860 storage Methods 0.000 claims abstract description 27
- 238000012216 screening Methods 0.000 claims abstract description 8
- 238000007726 management method Methods 0.000 claims description 43
- 230000005540 biological transmission Effects 0.000 claims description 16
- 230000000875 corresponding effect Effects 0.000 claims description 16
- 101100162210 Aspergillus parasiticus (strain ATCC 56775 / NRRL 5862 / SRRC 143 / SU-1) aflM gene Proteins 0.000 claims description 15
- 101100102500 Caenorhabditis elegans ver-1 gene Proteins 0.000 claims description 15
- 230000005284 excitation Effects 0.000 claims description 9
- 238000004519 manufacturing process Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 5
- 230000002596 correlated effect Effects 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 2
- 238000012545 processing Methods 0.000 description 5
- 230000015556 catabolic process Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Signal Processing (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a communication equipment overhaul management system based on big data, which comprises an equipment end, a staff end and a server, wherein the two pieces of hardware information are compared by acquiring the hardware information twice before and after overhaul, a maintained component is obtained by analysis, the types of maintenance are distinguished, the automatic generation of overhaul records is realized, a large amount of data of the overhaul records is formed, and the big data support is provided for the generation of overhaul suggestions. Screening and calculating the maintenance records in the storage module, marking the components as hardware defects and software defects, knowing the root causes of the faults, obtaining key maintenance components and prompting the maintainers to perform key maintenance. But automatic start stops the video recording to upload to the server, can be used as maintainer's prompt message, when the maintainer met the hardware that has not overhauld, the relevant maintenance video recording of acquireing that can be convenient fast was regarded as the course.
Description
Technical Field
The invention relates to the field of overhaul management, in particular to a communication equipment overhaul management system based on big data.
Background
Communication equipment is generally overhauled on hardware and software, such as replacing failed hardware, reinstalling damaged software and the like, and in the prior art, for example, a patent application publication with the publication number of CN108183816A discloses a power communication equipment overhaul plan quantitative assistant decision method; the performance of the network equipment is monitored in real time in the daily operation monitoring work of the communication network, and the possible faults of the communication network can be early warned by controlling the performance change trend; establishing a quantifiable communication network performance early warning classification principle through data modeling, so that the severity of the performance degradation of the communication network equipment and the influence degree on communication services can be accurately and reasonably judged; then, a maintenance strategy grade division principle is provided according to the early warning grade, and a theoretical basis is provided for quantized and automated selection of a maintenance strategy of the network hidden danger; finally, forming a maintenance plan according to the maintenance strategy; network hidden dangers are eliminated in advance, and faults are prevented; the method can be used as an algorithm basis for automatically compiling software design and research of the power communication maintenance plan; the efficiency and the accuracy of communication maintenance work can be improved practically.
Patent application publication No. CN104158688A discloses a method for implementing communication equipment maintenance management by information tag, a wireless handheld device and a communication equipment maintenance management system, the method comprising: scanning an information label on a failed communication equipment nameplate to acquire basic information of the communication equipment; according to the basic information, inquiring historical fault information, alarm information and a suggested processing mode of the communication equipment in a networking mode; and generating a fault processing report according to the basic information and the fault processing result input by the maintenance personnel and submitting the fault processing report. The invention scans the information label fixed on the equipment in advance through the wireless handheld equipment to read the basic information of the equipment; the device can also be connected to a background to inquire information such as historical faults and alarms of the device and a corresponding suggestion processing mode; meanwhile, when the report is filled in, the basic information of the equipment is automatically filled in, so that the operation and maintenance efficiency is improved, and the workload of operation and maintenance personnel is reduced.
However, the prior art is not intelligent enough, cannot prompt according to the working experience of the operation and maintenance personnel, and can only perform maintenance by experience after encountering unfamiliar communication equipment, so that the efficiency is low, and the difficulty is high.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a communication equipment overhaul management system based on big data, which obtains hardware information twice before and after overhaul through a hardware information marking module and a component management module, compares the two pieces of hardware information by matching with an overhaul record generation module, analyzes the repaired component, and distinguishes the type of repair to form an overhaul record. And screening and calculating the maintenance records in the storage module according to the equipment end codes, and marking the maintained components as hardware defects and software defects to obtain key maintenance components. Through data transmission between the equipment end, the staff end and the server, when the maintenance personnel open the door, the hardware information of the equipment end and the information of the staff end are automatically acquired, the video recording module is started to record images of the operation of the maintenance personnel, and after the maintenance is finished, the video recording is automatically stopped and the images are uploaded to the server.
The technical problem to be solved by the invention is as follows:
A. how when overhauing, provide support for the maintainer to realize reducing the amount of labour, improve maintenance efficiency, provide and overhaul the assistance.
The purpose of the invention can be realized by the following technical scheme:
a communication equipment maintenance management system based on big data comprises an equipment end, staff ends and a server, wherein the staff ends correspond to maintainers one by one, the equipment end comprises a first near field communication module and a component management module, the first near field communication module is used for realizing near field data transmission with the staff ends, and the component management module is used for acquiring element codes and driving versions of all components in current equipment and acquiring the equipment end codes of the equipment end to generate hardware information; the equipment end codes and the element codes both comprise model codes and production identification codes which correspond to the equipment one by one;
the employee end comprises a second near field communication module, a first mobile data network module, a suggestion retrieval module, a video playing module, a hardware information marking module and a video module;
the second near field communication module is used for near field data transmission with a device end, and the first mobile data network module is used for wireless data transmission with a server;
the suggestion retrieval module is used for acquiring a maintenance suggestion from a server according to hardware information of the equipment end;
the video playing module is used for playing the historical maintenance videos screened from the server according to the maintenance suggestions;
the hardware information marking module is used for acquiring hardware information before overhaul from the component management module, marking the hardware information as hardware information Ver0, acquiring the hardware information after overhaul, marking the hardware information as hardware information Ver1, and uploading the hardware information to the server for storage;
the video recording module is used for recording the maintenance operation of the staff when the staff is maintained to generate a maintenance video;
the server comprises a second mobile data network module, a maintenance record generating module, a storage module, a maintenance suggestion generating module and a video pushing module;
the second mobile data network module is used for carrying out wireless data transmission with the employee terminal;
the maintenance record generating module is used for generating maintenance records according to the hardware information before maintenance and the hardware information after maintenance; the maintenance records comprise employee side codes, equipment side codes, element codes of maintenance components and driving versions for replacement;
the storage module is used for storing the maintenance video and the hardware information sent by the staff end and also used for storing the maintenance record generated by the maintenance record generation module;
the maintenance suggestion generation module is used for screening and calculating maintenance records according to hardware information to obtain maintenance suggestions containing key maintenance components;
and the video pushing module is used for pushing the maintenance videos to the staff end according to the maintenance records corresponding to the staff end and the hardware information of the equipment end.
Further, the device side further comprises an excitation module, wherein the excitation module is used for sending a hardware information generation instruction to the component management module and sending a video start-stop instruction to the video recording module; the video recording start-stop instruction comprises a recording instruction and a stop instruction.
Further, the excitation module comprises a light sensor assembly arranged on the inner side of the equipment bin door and an instruction generation unit, and the specific method for generating the hardware information generation instruction and the video recording start-stop instruction by the instruction generation unit comprises the following steps:
after the equipment end is connected with the staff end, when the numerical value of the optical sensor assembly is higher than a threshold value L, a hardware information generation instruction is generated and sent to the component management module, and a recording instruction is generated and sent to the video recording module; and when the value of the light sensor assembly is lower than the threshold value L, generating a hardware information generation instruction, sending the hardware information generation instruction to the component management module, and simultaneously generating a stop instruction, and sending the stop instruction to the video recording module.
Further, the management method of the system is as follows:
s1, the equipment end and the employee end are automatically connected in a pairing mode within the identification range;
s2, after the equipment end bin door is opened, the video recording module receives the recording instruction and automatically starts to record video;
s3, when S2 is executed, the component management module receives a hardware information generation instruction, obtains element codes, drive versions and equipment end codes of all components at the equipment end, and generates hardware information; the hardware information is sent to the employee end through the first near field communication module, the hardware information is marked as hardware information Ver0 through the hardware information marking module after being received by the second near field communication module, the hardware information Ver0 is transmitted to the server by calling the first mobile data network module, and the hardware information Ver0 is stored in the storage module after being received by the second mobile data network module;
s4, a maintenance suggestion generation module of the server acquires the equipment end code from the hardware information Ver0, screens and calculates maintenance records in the storage module according to the equipment end code, marks the maintained components as hardware defects, software defects or unmarked components, obtains key maintenance components, generates maintenance suggestions and sends the maintenance suggestions to a suggestion retrieval module of an employee end;
s5, after the staff side acquires the maintenance suggestions, the staff side sends staff side codes to a video pushing module of the server side, the video pushing module screens out maintenance records corresponding to the staff side codes and further screens out maintenance records with the same equipment side codes, if no matched maintenance records exist, maintenance videos of key maintenance components corresponding to the equipment side are acquired, and the maintenance videos are generated and pushed to a video playing module of the staff side to be played after website links are generated;
s6, after the overhaul is finished and the bin door of the equipment end is closed, the video recording module receives the stop instruction and stops recording the video; after the equipment end code and the employee end code are correlated, uploading the video to a server;
s7, when S6 is executed, the component management module receives the hardware information generation instruction again, obtains the component codes, the driving versions and the equipment codes of all components of the equipment end again, and generates the latest hardware information; the hardware information is sent to the employee end through the first near field communication module, the hardware information is marked as hardware information Ver1 through the hardware information marking module after being received by the second near field communication module, the hardware information Ver1 is transmitted to the server by calling the first mobile data network module, and the hardware information Ver1 is stored in the storage module after being received by the second mobile data network module;
and S8, comparing the element codes and the drive versions of each element in the hardware information Ver1 and the hardware information Ver0 by the overhaul record generation module, marking the element as hardware maintenance if the element codes are different, and marking the element as software maintenance if the drive versions are different, and storing the element as an overhaul record after being associated with the video.
Further, the calculation steps for major component overhaul in S4 are as follows: the maintenance suggestion generation module screens out maintenance records of all codes of the same type from the storage module according to the equipment end codes, calculates the difference value between the hardware maintenance ratio and the software ratio of each component, marks the component as a hardware defect when the difference value is positive and is greater than a threshold value b, and marks the component as a software defect when the difference value is negative and is less than a threshold value-b; and counting the hardware maintenance duty ranking of each component marked as the hardware defect and the software maintenance duty ranking of each component marked as the software defect, and respectively selecting the components m before the ranking as key overhaul components.
Further, the calculation steps for major component overhaul in S4 are as follows: the maintenance suggestion generation module screens out maintenance records which are the same as the production identification code of the equipment end from the storage module, then acquires element codes and driving versions maintained in each maintenance record, screens out corresponding elements with the element code maintenance times exceeding a threshold value c, marks the elements as hardware defects and takes the elements as key maintenance elements; and simultaneously screening out the corresponding component of which the maintenance frequency of the drive version exceeds the threshold value d, marking the component as a software defect, and taking the software defect as a key maintenance component.
The invention has the beneficial effects that:
(1) acquire hardware information twice with the maintenance back through hardware information mark module and components and parts management module before overhauing to the cooperation is overhauld record and is generated the module and compare two hardware information, and the analysis reachs the components and parts of maintenance, and distinguish the type of maintenance, realizes the automatic generation of overhauing the record, cooperates a large amount of staff ends and equipment end, forms a large amount of data of overhauing the record, and can provide big data support for the generation of overhauing the suggestion.
(2) The overhaul suggestion generation module screens and calculates the overhaul records in the storage module according to the equipment end codes, can mark the maintained components as hardware defects and software defects, helps to know the root cause of failure, and meanwhile, the key overhaul components can be obtained, so that the overhaul personnel can be prompted to easily generate the failed components to perform key overhaul.
(3) Through the equipment end, the staff end, data transmission between the server, when the access personnel opened the door, the hardware information of automatic acquisition equipment end and the information of staff end, and start the video recording module and carry out the image record to access personnel's operation, and after the maintenance finishes, the automatic shutdown video recording, and upload to the server, the prompt message that can be the access personnel, cooperation video recording propelling movement module and key maintenance components and parts, when the access personnel met the hardware that has not overhauld, can be fast convenient acquire relevant maintenance video recording as the course.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention
Fig. 2 is a schematic diagram of an apparatus side in embodiment 2 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, the present embodiment provides a communication device overhaul management system based on big data, which includes a device side, an employee side, and a server;
the equipment end comprises a first near field communication module and a component management module, wherein the first near field communication module is used for realizing near field data transmission with the staff end.
Each communication device comprises a plurality of components, and the communication device corresponds to a device model and a unique production identification code; each component corresponds to a model and a unique production identification code, and the components and the drive versions of the components are different, so that faults are caused by faults of hardware or software, such as software breakdown, no response and the like on the software, and welding failure or heating abnormality on the hardware.
The component management module is used for acquiring component codes and driving versions of all components in the current equipment, and acquiring equipment end codes of the equipment end to generate hardware information together; the equipment end codes and the element codes both comprise model codes and production identification codes which correspond to the equipment one by one; the first near field communication module adopts Bluetooth transmission. Therefore, the production identification code can adopt an S/N code.
The employee end comprises a second near field communication module, a first mobile data network module, a suggestion retrieval module, a video playing module, a hardware information marking module and a video module; the first mobile data network module adopts a 5G communication module to ensure the transmission speed.
The second near field communication module is used for near field data transmission with a device end, and the first mobile data network module is used for wireless data transmission with a server;
the suggestion retrieval module is used for acquiring a maintenance suggestion from a server according to hardware information of the equipment end;
the video playing module is used for playing the historical maintenance videos screened from the server according to the maintenance suggestions; the video playing module comprises a control unit and a playing unit; the control unit is used for selecting the video needing to be played, and the playing unit is used for playing the video file in the website link.
The hardware information marking module is used for acquiring hardware information before overhaul from the component management module, marking the hardware information as hardware information Ver0, acquiring the hardware information after overhaul, marking the hardware information as hardware information Ver1, and uploading the hardware information to the server for storage;
the video recording module is used for recording the maintenance operation of the staff when the staff is maintained to generate a maintenance video;
the server comprises a second mobile data network module, a maintenance record generating module, a storage module, a maintenance suggestion generating module and a video pushing module;
the second mobile data network module is used for carrying out wireless data transmission with the employee terminal;
the maintenance record generating module is used for generating maintenance records according to the hardware information before maintenance and the hardware information after maintenance; the maintenance records comprise employee side codes, equipment side codes, element codes of maintenance components and driving versions for replacement;
the storage module is used for storing the maintenance video and the hardware information sent by the staff end and also used for storing the maintenance record generated by the maintenance record generation module; the maintenance records are shared to form big data, and the big data can be used for analyzing the components with faults from two aspects of hardware and software and analyzing software defects or hardware defects.
The maintenance suggestion generation module is used for screening and calculating maintenance records according to hardware information to obtain maintenance suggestions containing key maintenance components; before the system starts to overhaul, the system can automatically acquire relevant information, give out the components with the most faults and prompt overhaul personnel to carry out key overhaul.
And the video pushing module is used for pushing the maintenance videos to the staff end according to the maintenance records corresponding to the staff end and the hardware information of the equipment end. When the staff does not overhaul the equipment of the model, the operation video of the related overhaul can be automatically acquired.
The management method of the system comprises the following steps:
s1, the equipment end and the employee end are automatically connected in a pairing mode within the identification range;
s2, after the equipment end bin door is opened, the video recording module receives the recording instruction and automatically starts to record video;
s3, when S2 is executed, the component management module receives a hardware information generation instruction, obtains element codes, drive versions and equipment end codes of all components at the equipment end, and generates hardware information; the hardware information is sent to the employee end through the first near field communication module, the hardware information is marked as hardware information Ver0 through the hardware information marking module after being received by the second near field communication module, the hardware information Ver0 is transmitted to the server by calling the first mobile data network module, and the hardware information Ver0 is stored in the storage module after being received by the second mobile data network module;
s4, a maintenance suggestion generation module of the server acquires the equipment end code from the hardware information Ver0, screens and calculates maintenance records in the storage module according to the equipment end code, marks the maintained components as hardware defects, software defects or unmarked components, obtains key maintenance components, generates maintenance suggestions and sends the maintenance suggestions to a suggestion retrieval module of an employee end;
the calculation steps for major overhaul components are as follows: the maintenance suggestion generation module screens out maintenance records of all codes of the same model from the storage module according to the equipment end codes, calculates the difference value between the hardware maintenance ratio and the software ratio of each component, indicates that more hardware faults exist and are larger than a threshold value b if the difference value is positive, marks the component as a hardware defect if b is 60%, and marks the component as a software defect if the difference value is negative, indicates that more software faults exist and is smaller than the threshold value-b; and respectively selecting the components m before the ranking as key maintenance components, namely the key maintenance components comprise two groups, one group of software defects and one group of hardware defects.
S5, after the staff side acquires the maintenance suggestion, the staff side sends the staff side code to a video pushing module of the server side, the video pushing module screens out the maintenance record corresponding to the staff side code and further screens out the maintenance record with the same equipment side code, if no matched maintenance record exists, the maintenance record of a key maintenance component corresponding to the equipment side is acquired, and the maintenance record is pushed to a video playing module of the staff side for playing after website link is generated, wherein the maintenance record does not indicate that the maintenance staff does not perform maintenance on the equipment; can help the maintainer to know the maintenance operation of the equipment.
S6, after the overhaul is finished and the bin door of the equipment end is closed, the video recording module receives the stop instruction and stops recording the video; after the equipment end code and the employee end code are correlated, uploading the video to a server;
s7, when S6 is executed, the component management module receives the hardware information generation instruction again, obtains the component codes, the driving versions and the equipment codes of all components of the equipment end again, and generates the latest hardware information; the hardware information is sent to the employee end through the first near field communication module, the hardware information is marked as hardware information Ver1 through the hardware information marking module after being received by the second near field communication module, the hardware information Ver1 is transmitted to the server by calling the first mobile data network module, and the hardware information Ver1 is stored in the storage module after being received by the second mobile data network module;
and S8, comparing the element codes and the drive versions of the elements in the hardware information Ver1 and the hardware information Ver0 by the overhaul record generation module, marking the element as hardware maintenance if the element codes are different and indicating that the element is replaced, and marking the element as software maintenance if the drive versions are different and indicating that the drive versions are changed, and storing the element as an overhaul record after being associated with the video.
Example 2
As shown in fig. 1-2, compared with embodiment 1, in hardware: the equipment end further comprises an excitation module, wherein the excitation module is used for sending a hardware information generation instruction to the component management module and sending a video starting and stopping instruction to the video recording module; the video recording start-stop instruction comprises a recording instruction and a stop instruction. Can realize automation, and then reduce the operation degree of difficulty and loaded down with trivial details degree.
The excitation module comprises a light sensor assembly arranged on the inner side of the equipment bin door and an instruction generation unit, and the specific method for generating a hardware information generation instruction and a video start-stop instruction by the instruction generation unit comprises the following steps:
after the equipment end is connected with the staff end, when the numerical value of the optical sensor assembly is higher than a threshold value L, a hardware information generation instruction is generated and sent to the component management module, and a recording instruction is generated and sent to the video recording module; and when the value of the light sensor assembly is lower than the threshold value L, generating a hardware information generation instruction, sending the hardware information generation instruction to the component management module, and simultaneously generating a stop instruction, and sending the stop instruction to the video recording module.
In addition, the key inspection of the components in S4 may further include the following steps:
the maintenance suggestion generation module screens out maintenance records which are the same as the production identification code of the equipment end from the storage module, namely all maintenance records of the equipment, then acquires element codes and driving versions maintained in the maintenance records, screens out corresponding elements of which the element code maintenance times exceed a threshold value c, if c is 3, the elements in the equipment are repeatedly replaced, namely the hardware quality problem is solved, marks the elements as hardware defects, and takes the hardware defects as key maintenance elements; and simultaneously screening out corresponding components of which the maintenance times of the drive version exceed a threshold value d, if d is 3, indicating that the drive version is maintained for many times and is a software problem, marking the components as software defects, and taking the components as key maintenance components.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. A communication equipment maintenance management system based on big data comprises an equipment end, an employee end and a server, and is characterized in that the equipment end comprises a first near field communication module and a component management module, the first near field communication module is used for realizing near field data transmission with the employee end, and the component management module is used for acquiring element codes and driving versions of all components in current equipment, acquiring equipment end codes of the equipment end and generating hardware information together; the equipment end codes and the element codes both comprise model codes and production identification codes which correspond to the equipment one by one;
the employee end comprises a second near field communication module, a first mobile data network module, a suggestion retrieval module, a video playing module, a hardware information marking module and a video module;
the second near field communication module is used for near field data transmission with a device end, and the first mobile data network module is used for wireless data transmission with a server;
the suggestion retrieval module is used for acquiring a maintenance suggestion from a server according to hardware information of the equipment end;
the video playing module is used for playing the historical maintenance videos screened from the server according to the maintenance suggestions;
the hardware information marking module is used for acquiring hardware information before overhaul from the component management module, marking the hardware information as hardware information Ver0, acquiring the hardware information after overhaul, marking the hardware information as hardware information Ver1, and uploading the hardware information to the server for storage;
the video recording module is used for recording the maintenance operation of the staff when the staff is maintained to generate a maintenance video;
the server comprises a second mobile data network module, a maintenance record generating module, a storage module, a maintenance suggestion generating module and a video pushing module;
the second mobile data network module is used for carrying out wireless data transmission with the employee terminal;
the maintenance record generating module is used for generating maintenance records according to the hardware information before maintenance and the hardware information after maintenance; the maintenance records comprise employee side codes, equipment side codes, element codes of maintenance components and driving versions for replacement;
the storage module is used for storing the maintenance video and the hardware information sent by the staff end and also used for storing the maintenance record generated by the maintenance record generation module;
the maintenance suggestion generation module is used for screening and calculating maintenance records according to hardware information to obtain maintenance suggestions containing key maintenance components;
and the video pushing module is used for pushing the maintenance videos to the staff end according to the maintenance records corresponding to the staff end and the hardware information of the equipment end.
2. The communication equipment overhauling management system based on big data as set forth in claim 1, wherein the equipment end further comprises an excitation module, the excitation module is used for sending a hardware information generation instruction to the component management module, and is also used for sending a video starting and stopping instruction to the video module; the video recording start-stop instruction comprises a recording instruction and a stop instruction.
3. The big-data-based communication equipment overhaul management system according to claim 2, wherein the excitation module comprises a light sensor assembly arranged on the inner side of the equipment bin door and a command generation unit, and the specific method for generating the hardware information generation command and the video recording start-stop command by the command generation unit is as follows:
after the equipment end is connected with the staff end, when the numerical value of the optical sensor assembly is higher than a threshold value L, a hardware information generation instruction is generated and sent to the component management module, and a recording instruction is generated and sent to the video recording module; and when the value of the light sensor assembly is lower than the threshold value L, generating a hardware information generation instruction, sending the hardware information generation instruction to the component management module, and simultaneously generating a stop instruction, and sending the stop instruction to the video recording module.
4. The big data based communication equipment overhaul management system according to claim 1, wherein the management method of the system is as follows:
s1, the equipment end and the employee end are automatically connected in a pairing mode within the identification range;
s2, after the equipment end bin door is opened, the video recording module receives the recording instruction and automatically starts to record video;
s3, when S2 is executed, the component management module receives a hardware information generation instruction, obtains element codes, drive versions and equipment end codes of all components at the equipment end, and generates hardware information; the hardware information is sent to the employee end through the first near field communication module, the hardware information is marked as hardware information Ver0 through the hardware information marking module after being received by the second near field communication module, the hardware information Ver0 is transmitted to the server by calling the first mobile data network module, and the hardware information Ver0 is stored in the storage module after being received by the second mobile data network module;
s4, a maintenance suggestion generation module of the server acquires the equipment end code from the hardware information Ver0, screens and calculates maintenance records in the storage module according to the equipment end code, marks the maintained components as hardware defects, software defects or unmarked components, obtains key maintenance components, generates maintenance suggestions and sends the maintenance suggestions to a suggestion retrieval module of an employee end;
s5, after the staff side acquires the maintenance suggestions, the staff side sends staff side codes to a video pushing module of the server side, the video pushing module screens out maintenance records corresponding to the staff side codes and further screens out maintenance records with the same equipment side codes, if no matched maintenance records exist, maintenance videos of key maintenance components corresponding to the equipment side are acquired, and the maintenance videos are generated and pushed to a video playing module of the staff side to be played after website links are generated;
s6, after the overhaul is finished and the bin door of the equipment end is closed, the video recording module receives the stop instruction and stops recording the video; after the equipment end code and the employee end code are correlated, uploading the video to a server;
s7, when S6 is executed, the component management module receives the hardware information generation instruction again, obtains the component codes, the driving versions and the equipment codes of all components of the equipment end again, and generates the latest hardware information; the hardware information is sent to the employee end through the first near field communication module, the hardware information is marked as hardware information Ver1 through the hardware information marking module after being received by the second near field communication module, the hardware information Ver1 is transmitted to the server by calling the first mobile data network module, and the hardware information Ver1 is stored in the storage module after being received by the second mobile data network module;
and S8, comparing the element codes and the drive versions of each element in the hardware information Ver1 and the hardware information Ver0 by the overhaul record generation module, marking the element as hardware maintenance if the element codes are different, and marking the element as software maintenance if the drive versions are different, and storing the element as an overhaul record after being associated with the video.
5. The big-data-based communication equipment overhaul management system according to claim 4, wherein the calculation steps of the key overhaul components in S4 are as follows: the maintenance suggestion generation module screens out maintenance records of all codes of the same type from the storage module according to the equipment end codes, calculates the difference value between the hardware maintenance ratio and the software ratio of each component, marks the component as a hardware defect when the difference value is positive and is greater than a threshold value b, and marks the component as a software defect when the difference value is negative and is less than a threshold value-b; and counting the hardware maintenance duty ranking of each component marked as the hardware defect and the software maintenance duty ranking of each component marked as the software defect, and respectively selecting the components m before the ranking as key overhaul components.
6. The big-data-based communication equipment overhaul management system according to claim 4, wherein the calculation steps of the key overhaul components in S4 are as follows: the maintenance suggestion generation module screens out maintenance records which are the same as the production identification code of the equipment end from the storage module, then acquires element codes and driving versions maintained in each maintenance record, screens out corresponding elements with the element code maintenance times exceeding a threshold value c, marks the elements as hardware defects and takes the elements as key maintenance elements; and simultaneously screening out the corresponding component of which the maintenance frequency of the drive version exceeds the threshold value d, marking the component as a software defect, and taking the software defect as a key maintenance component.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911212997.6A CN111079954A (en) | 2019-12-02 | 2019-12-02 | Communication equipment overhaul management system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911212997.6A CN111079954A (en) | 2019-12-02 | 2019-12-02 | Communication equipment overhaul management system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111079954A true CN111079954A (en) | 2020-04-28 |
Family
ID=70312411
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911212997.6A Pending CN111079954A (en) | 2019-12-02 | 2019-12-02 | Communication equipment overhaul management system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111079954A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111899372A (en) * | 2020-07-06 | 2020-11-06 | 唐山昌宏科技有限公司 | Man-machine interactive management system |
| CN114911531A (en) * | 2022-04-28 | 2022-08-16 | 苏州佳世达电通有限公司 | Hardware environment simulation method and hardware environment simulation system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202772926U (en) * | 2012-08-28 | 2013-03-06 | 武汉利德工业技术服务有限公司 | Motor train unit maintenance apparatus remote diagnosis and management system based on wide-area Internet |
| CN104021497A (en) * | 2014-05-09 | 2014-09-03 | 南车青岛四方机车车辆股份有限公司 | Train fault overhaul terminal system based on mobile terminal |
| CN106230628A (en) * | 2016-07-29 | 2016-12-14 | 山东工商学院 | A kind of equipment auxiliary repair method and system |
| CN108510085A (en) * | 2017-12-26 | 2018-09-07 | 杭州富阳海康保泰安防技术服务有限公司 | Internet of Things operation maintenance worksheet processing platform |
-
2019
- 2019-12-02 CN CN201911212997.6A patent/CN111079954A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202772926U (en) * | 2012-08-28 | 2013-03-06 | 武汉利德工业技术服务有限公司 | Motor train unit maintenance apparatus remote diagnosis and management system based on wide-area Internet |
| CN104021497A (en) * | 2014-05-09 | 2014-09-03 | 南车青岛四方机车车辆股份有限公司 | Train fault overhaul terminal system based on mobile terminal |
| CN106230628A (en) * | 2016-07-29 | 2016-12-14 | 山东工商学院 | A kind of equipment auxiliary repair method and system |
| CN108510085A (en) * | 2017-12-26 | 2018-09-07 | 杭州富阳海康保泰安防技术服务有限公司 | Internet of Things operation maintenance worksheet processing platform |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111899372A (en) * | 2020-07-06 | 2020-11-06 | 唐山昌宏科技有限公司 | Man-machine interactive management system |
| CN114911531A (en) * | 2022-04-28 | 2022-08-16 | 苏州佳世达电通有限公司 | Hardware environment simulation method and hardware environment simulation system |
| CN114911531B (en) * | 2022-04-28 | 2024-05-17 | 苏州佳世达电通有限公司 | Hardware environment simulation method and hardware environment simulation system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109325601B (en) | Logistics equipment fault monitoring operation and maintenance management method | |
| KR102373787B1 (en) | Big data based on potential failure mode analysis method using progonstics system of machine equipment | |
| CN106598791B (en) | Industrial equipment fault preventive identification method based on machine learning | |
| CN103443725B (en) | The apparatus for diagnosis of abnormality of Servocontrol device and abnormity diagnostic system | |
| CN111340250A (en) | Equipment maintenance device, method and computer readable storage medium | |
| CN111079954A (en) | Communication equipment overhaul management system based on big data | |
| CN112686402A (en) | Method for combining daily inspection and intelligent operation and maintenance management platform | |
| CN110223152B (en) | Method and system for acquiring plate production data in furniture manufacturing execution system | |
| CN117689214B (en) | Dynamic safety assessment method for energy router of flexible direct-current traction power supply system | |
| EP3315465A1 (en) | Method and system for dynamically managing waste water treatment process for optimizing power consumption | |
| Wang et al. | Intelligent predictive maintenance (IPdM) for elevator service-through CPS, IOT&S and data mining | |
| CN116345691B (en) | Power equipment operation monitoring system | |
| CN112830138A (en) | Method and device for processing exception and robot | |
| CN113762445B (en) | Identification analysis system based on assembled building | |
| CN116245506A (en) | Equipment operation and maintenance management system, fault self-detection method and using method thereof | |
| TWM625447U (en) | Machine abnormality labeling and abnormality prediction system | |
| CN113835387A (en) | Operation and maintenance management method, system and medium | |
| CN112101758A (en) | Clothing factory production abnormity decision making system and method based on artificial intelligence | |
| CN113835401A (en) | Method, device and system for managing production equipment | |
| CN115903720A (en) | Fault diagnosis system and method for rail transit, and storage medium | |
| CN109635967A (en) | A kind of method and apparatus lifting machine overhauling | |
| CN114298063B (en) | Information updating processing method and device for safety tool, storage medium and equipment | |
| CN116402219A (en) | Full life cycle operation and maintenance strategy method and device based on prediction model | |
| CN118264574A (en) | Predictive maintenance method and system based on PLC edge gateway | |
| CN117391602A (en) | Engine production information acquisition and processing system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200428 |
|
| RJ01 | Rejection of invention patent application after publication |