CN108717577A - Maintenance forecast device based on history maintenance record big data and method - Google Patents

Maintenance forecast device based on history maintenance record big data and method Download PDF

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CN108717577A
CN108717577A CN201810530206.3A CN201810530206A CN108717577A CN 108717577 A CN108717577 A CN 108717577A CN 201810530206 A CN201810530206 A CN 201810530206A CN 108717577 A CN108717577 A CN 108717577A
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repairment
failure
equipment
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景祝强
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities

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Abstract

A kind of Maintenance forecast device based on history maintenance record big data, including:Record storage portion;Communication unit;Similar repairing information search part;The probability of occurrence of each physical fault reported for repairment under failure is calculated in probability statistics calculating part;The frequency of occurrences of each physical fault reported for repairment under failure is calculated in frequency statistics calculating part;Time retrieves calculating part, is calculated that report fault time for repairment poor;Analyze determination unit, the frequency of occurrences for reporting the physical fault corresponding to failure for repairment and probability of occurrence in current repairing information and on the basis of report fault time difference for repairment according to judgment rule, carry out analysis judgement and obtain the possible breakdown for reporting equipment for repairment in current repairing information;Display input section;Record update section.Report the probability of occurrence of the physical fault corresponding to failure for repairment according to some in history maintenance record, judgement is compared in the frequency of occurrences, to automatically derive the current possible breakdown reported for repairment corresponding to failure.The present invention also provides corresponding methods.

Description

Maintenance forecast device based on history maintenance record big data and method
Technical field
The present invention relates to a kind of Maintenance forecast devices, belong to computer application field.
Background technology
In larger office building or in large-scale corporate HQ, especially there are more office equipment(PC machine, printing Machine, duplicator, facsimile machine)Trans-corporation's Headquarters of equipment, some equipment often break down, and need logistics support Department goes to repair.
It typically reports for repairment, maintenance process is such:When certain equipment breaks down, user just by phone or Logistics department is informed in the title of faulty equipment, position by the means such as the network platform, while by the fault condition on surface:Such as computer Booting blue screen, booting computer is reactionless, unexpected blank screen etc. also informs maintenance department to computer in use, then leaves repair Time and contact method and contact person.Logistics department reports situation for repairment according to the equipment reported for repairment, at random or according to oneself Previous experience place under repair personnel, which visit, to place under repair.
Although maintenance personal, can be big according to specific failure title and the experience of oneself after being connected to maintenance task What is caused expects the possible fault condition of the superficial failure, and check at the scene after debugging can accurate judgement failure, and carry out It is corresponding to repair.
But in practice, can also find that failure is cumbersome and needs that warehouse is gone to stock up again, need make a trip, when waste Between, especially for large-scale unit, when equipment is more, the maintenance personal often sent at random can not repair It is actual to report failure for repairment.
Invention content
The present invention is to solve the above-mentioned only simple phenomenon of the failure provided according to the user reported for repairment when reporting for repairment Report failure for repairment and can not accurate physical fault the problem of, carry out forecast analysis the present invention is based on big data thus, provide following The Maintenance forecast device and method based on history maintenance record big data.
The present invention provides a kind of Maintenance forecast devices based on history maintenance record big data, for reporting contact person for repairment It is predicted by the possible breakdown for reporting equipment for repairment reported for repairment in the repairing information that terminal is sent, including:Record storage portion uses In all maintenance records and device attribute information of storage device, device attribute information includes that uniquely corresponding equipment is known with equipment Other code, maintenance record include that the failure time of occurrence of equipment, the equipment report failure and the physical fault of the equipment for repairment;Communication Portion is used for and reports for repairment terminal communication and obtains repairing information, which includes reporting the EIC equipment identification code of equipment for repairment, reporting for repairment and set Standby reports failure and the failure time of occurrence of the equipment for repairment;Similar repairing information search part, is obtained from current repairing information It takes the current EIC equipment identification code for reporting equipment for repairment and reports failure for repairment, and correspondence retrieves and the EIC equipment identification code from record storage portion Corresponding all same categories of device and its report for repairment failure with it is current report for repairment failure it is identical it is similar report historical record for repairment, this is same Class reports historical record for repairment and includes corresponding failure time of occurrence, reports failure and physical fault for repairment;Probability statistics calculating part, will be same Class reports the physical fault in historical record for repairment and carries out statistic of classification, and this is calculated and reports each physical fault under failure for repairment Probability of occurrence;The similar physical fault reported for repairment in historical record is carried out statistic of classification, and is calculated by frequency statistics calculating part This reports the frequency of occurrences of each physical fault under failure for repairment;Time retrieves calculating part, retrieves and is somebody's turn to do from record storage portion All failure time of occurrence of the corresponding generic equipment of EIC equipment identification code, and by all failure time of occurrence most Failure time of occurrence in nearly primary time and current repairing information be calculated that report fault time for repairment poor;Analysis is sentenced Determine portion, the frequency of occurrences for reporting the physical fault corresponding to failure for repairment and probability of occurrence in current repairing information and report for repairment therefore According to judgment rule on the basis of Downtime difference, carries out analysis judgement and obtain the possibility event for reporting equipment for repairment in current repairing information Barrier;Picture storage part is at least stored with display input picture;Display input section makes people defeated for showing input picture Enter in current repairing information and reports the cost that equipment carries out the physical fault found after overhauling on the spot and repair is spent for repairment; And record update section, the cost correspondence that physical fault and repair for inputting display input section are spent update storage Into record storage portion.
Maintenance forecast device provided by the invention based on history maintenance record big data can also have such spy Sign, it is characterised in that:Wherein, EIC equipment identification code includes device class coding and equipment serial number, similar repairing information search part are Identify that the device class coding in extraction equipment identification code is corresponding with the EIC equipment identification code all to be retrieved to obtain Then the EIC equipment identification code of same category of device retrieves corresponding failure time of occurrence further according to these EIC equipment identification codes, reports event for repairment Barrier and the similar of physical fault report historical record for repairment.
Maintenance forecast device provided by the invention based on history maintenance record big data can also have such spy Sign, it is characterised in that:Wherein, judgment rule includes the following steps:
The first step arranges the probability of occurrence data of each physical fault and the physical fault according to probability size order Sequence;
Second step, judges whether the probability of occurrence numerical value of sequence first is greater than or equal to a%, if it is just directly predicting the sequence First physical fault is this possible breakdown for reporting for repairment and end, is walked if not third is then entered;
Third walks, and whether further judges the probability of occurrence numerical value of sequence first more than or equal to b%, if it is being put into the 4th Step, if not being put into the 5th step;
4th step further judges the frequency of occurrences for reporting fault time difference and the physical fault of sequence first for repairment, when reporting failure for repairment When time difference is within the scope of the frequency of occurrences, just directly predict that the physical fault of the sequence first is the possible breakdown that this is reported for repairment, If not then into the 5th step;
5th step, calculate report for repairment fault time difference with such report for repairment the corresponding all physical faults of failure the frequency of occurrences difference Value;
The physical fault of difference minimum is directly regarded as this possible breakdown reported for repairment by the 6th step,
a>b>10。
Maintenance forecast device provided by the invention based on history maintenance record big data can also have such spy Sign, it is characterised in that:Wherein, it is mobile terminal or fixed terminal to report terminal for repairment, reports the office that equipment includes office for repairment and sets It is standby.
Maintenance forecast device provided by the invention based on history maintenance record big data can also have such spy Sign, it is characterised in that:Wherein, record storage portion is also stored with treatment measures corresponding with physical fault, corresponding, and display is defeated Enter portion and also shows the treatment measures that display inputs after being overhauled on the spot after picture allows right input to report for repairment.
Maintenance forecast device provided by the invention based on history maintenance record big data can also have such spy Sign, which is characterized in that further include:Maintenance cost Department of Statistics replaces determination unit, wherein record storage portion also corresponding be stored with sets Standby value, maintenance cost Department of Statistics count the number that the physical fault of the equipment corresponding to some EIC equipment identification code occurs, and The repair that the physical fault having occurred and that is calculated according to set price is spent, and is greater than or equal to the equipment when the repair of equipment is spent Value when, replace determination unit decide that the equipment be state to be replaced.
Maintenance forecast device provided by the invention based on history maintenance record big data can also have such spy Sign, it is characterised in that further include:Prompting portion is replaced, for generating prompting message according to the judgement result for replacing determination unit, allows pipe Reason personnel are handled.
The present invention also provides a kind of failure predication based on history maintenance record big data and the methods that repair, special Sign is there is following step:
Step S1 obtains external repairing information, which includes the EIC equipment identification code for reporting equipment for repairment, the report for reporting equipment for repairment Repair failure and the failure time of occurrence of the equipment;
Step S2 is obtained from current repairing information and is reported the EIC equipment identification code of equipment for repairment and report failure for repairment, and correspondence is deposited from record Retrieved in storage portion all same categories of device corresponding with the EIC equipment identification code and its report failure for repairment and currently report failure for repairment It is identical it is similar report historical record for repairment, this is similar report for repairment historical record include corresponding failure time of occurrence, report failure for repairment and Physical fault;
The similar physical fault reported for repairment in historical record is carried out statistic of classification, and this is calculated and reports for repairment under failure by step S3 Each physical fault probability of occurrence;
The similar physical fault reported for repairment in historical record is carried out statistic of classification, and this is calculated and reports for repairment under failure by step S4 Each physical fault the frequency of occurrences;
Step S5, retrieves all failure time of occurrence of generic equipment corresponding with the EIC equipment identification code, and by institute The failure time of occurrence in the last time and current repairing information in some failure time of occurrence calculate It is poor to fault time is reported for repairment;
Step S6 arranges the probability of occurrence data of each physical fault and the physical fault according to probability size order Sequence;
Step S7, judges whether the probability of occurrence numerical value of sequence first is greater than or equal to 50%, if it is just directly predicting the sequence First physical fault is this possible breakdown for reporting for repairment and enters step S12, if not then entering step S8;
Whether step S8, further judge the probability of occurrence numerical value of sequence first more than or equal to 20%, if it is being put into step S9, if not being put into step S10;
Step S9 further judges the frequency of occurrences for reporting fault time difference and the physical fault of sequence first for repairment, when reporting failure for repairment When time difference is within the scope of the frequency of occurrences, just directly predict that the physical fault of the sequence first is the possible breakdown that this is reported for repairment, If not then entering step S10;
Step S10, calculate report for repairment fault time difference with such report for repairment the corresponding all physical faults of failure the frequency of occurrences difference Value;
The physical fault of difference minimum is directly regarded as this possible breakdown reported for repairment by step S11;
Step S12, maintenance personal are prepared according to the possible breakdown of prediction, to reporting device context for repairment in current repairing information Report for repairment equipment carry out on the spot maintenance find physical fault after overhauled.
Failure predication provided by the invention based on history maintenance record big data and the method repaired, can also have There is such feature, which is characterized in that also there is following step:
Step S13, the equipment of reporting for repairment inputted in current repairing information carry out the physical fault and dimension that are found after overhauling on the spot Repair spent cost;
Step S14 updates storage the cost correspondence that the physical fault of input and repair are spent.
Failure predication provided by the invention based on history maintenance record big data and the method repaired, can also have There is such feature, which is characterized in that also there is following step:
Step S15 counts the number that the physical fault of the equipment corresponding to some EIC equipment identification code occurs, and according to set price The repair for calculating the physical fault having occurred and that is spent;
Step S16 decides that the equipment is shape to be replaced when the repair of equipment spends the value more than or equal to the equipment State;
Step S17 just generates prompting message when the state of some equipment is state to be replaced, administrative staff is allowed to handle: It scraps and applies purchasing.
The effect of invention
Maintenance forecast device according to the present invention based on history maintenance record big data, because of the record storage portion having, All maintenance records and device attribute information of equipment are stored with, device attribute information includes that uniquely corresponding equipment is known with equipment Other code, maintenance record include that the failure time of occurrence of equipment, the equipment report failure and the physical fault of the equipment for repairment;Have Communication unit can with report for repairment terminal communication come obtain including report equipment for repairment EIC equipment identification code, report for repairment equipment report for repairment failure with And the repairing information of the failure time of occurrence of the equipment;The similar repairing information search part having can report letter for repairment from current It is obtained in breath and currently reports the EIC equipment identification code of equipment for repairment and report failure for repairment, and correspondence retrieves and the equipment from record storage portion The corresponding all same categories of device of identification code and its report failure for repairment and report that failure is identical similar to report history note for repairment for repairment with current Record, the similar historical record that reports for repairment include corresponding failure time of occurrence, report failure and physical fault for repairment;The probability system having The similar physical fault reported for repairment in historical record can be carried out statistic of classification by meter calculating part, and this is calculated and reports for repairment under failure Each physical fault probability of occurrence;The frequency statistics calculating part having can be by the similar practical event reported for repairment in historical record Barrier carries out statistic of classification, and the frequency of occurrences of each physical fault reported for repairment under failure is calculated;The time retrieval having Calculating part, when all failures that generic equipment corresponding with the EIC equipment identification code is retrieved from record storage portion occur Between, and by the failure time of occurrence in the last time and current repairing information in all failure time of occurrence into Row is calculated that report fault time for repairment poor;It is right can to report failure institute for repairment in current repairing information for the analysis determination unit having It the frequency of occurrences and probability of occurrence of the physical fault answered and reports for repairment on the basis of fault time difference according to judgment rule, is divided Analysis judgement obtains the possible breakdown for reporting equipment for repairment in current repairing information;Picture storage part is at least stored with display input picture Face;The equipment of reporting for repairment that the display input section having can show display input picture to allow people to input in current repairing information carries out The cost that the physical fault and repair found after overhauling on the spot is spent;The record update section having can input display The cost correspondence that the physical fault of portion's input and repair are spent updates storage in record storage portion, so, it is of the invention The Maintenance forecast device of history maintenance record big data can report failure institute for repairment according to some in history maintenance record big data Judgement is compared in the probability of occurrence of corresponding physical fault, the frequency of occurrences, and to automatically derive, current to report failure institute for repairment right The possible breakdown answered completes the forecast based on history maintenance record to reporting failure for repairment,
Further, because current physical fault can be inputted with display input section, record update section, that is, can be right Big data(It is to obtain accumulation from similar field or use environment in advance, is not using the big of unit oneself accumulation Data)In data can increase, can update, and increase, newer data be the data of oneself, update long-term in this way It can be slowly more and more accurate with the prediction result for enabling to big data is increased.
Description of the drawings
Fig. 1 is the composition frame of the Maintenance forecast device based on history maintenance record big data in the embodiment of the present invention Figure;
Fig. 2 is the schematic diagram of the facility information of the record storage portion storage in the embodiment of the present invention;
Fig. 3 is the schematic diagram for the repairing information that the communication unit in the embodiment of the present invention receives;
What Fig. 4 was that the similar repairing information search part in the embodiment of the present invention retrieves similar reports historical information retrieval result for repairment Schematic diagram;
Fig. 5 is the probability of occurrence result for the physical fault that the probability statistics calculating part in the embodiment of the present invention is calculated Schematic diagram;
Fig. 6 is the probability of occurrence result for the physical fault that the frequency statistics calculating part in the embodiment of the present invention is calculated Schematic diagram;
Fig. 7 is the schematic diagram of the probability size ranking results in the embodiment of the present invention;
Fig. 8 is current 20170908 booting blue screen prediction result schematic diagram;
Fig. 9 is the signal of the frequency and the ascending ranking results for the difference for reporting fault time difference for repairment in the embodiment of the present invention Figure;
The repair feed back input picture view of the positions Figure 10 picture warehousing department storage.
Figure 11 is the schematic diagram of the information in the updated record storage portion in the embodiment of the present invention;And
Figure 12 is the signal of the repair cost statistical result of 01230036 PC machine cut-off till now in the embodiment of the present invention Figure.
Specific implementation mode
It is real below in order to make the technical means, the creative features, the aims and the efficiencies achieved by the present invention be easy to understand Example combination attached drawing is applied to have the structure of the Maintenance forecast device based on history maintenance record of the present invention, composition, application method work Body illustrates.
Fig. 1 is the composition frame chart of the Maintenance forecast device based on history maintenance record in the embodiment of the present invention.
As shown in Figure 1, the Maintenance forecast device 100 based on history maintenance record includes record storage portion 101, communication unit 102, similar repairing information search part 103, probability statistics calculating part 104, frequency statistics calculating part 105, time retrieve calculating part 106, determination unit 107, picture storage part 108, display input section 109, record update section 110, maintenance cost Department of Statistics are analyzed 111, it replaces determination unit 112, replace prompting portion 113 and control unit 114.
Fig. 2 is the schematic diagram of the facility information of the record storage portion storage in the embodiment of the present invention.
Record storage portion 101 stores facility information, including device attribute information and the maintenance record of all devices letter Breath, device attribute information include standby unique corresponding EIC equipment identification code, device name, apparatus value, which includes setting Standby failure time of occurrence, the equipment report failure for repairment, report contact person for repairment, report contact method for repairment and the physical fault of the equipment Spent with treatment measures, repair, the information of storage as shown in Fig. 2, EIC equipment identification code includes device class encodes and equipment serial number, It is 8 that identification code is identified in the present embodiment altogether, and first four are identification classification coding, and latter four are equipment serial number.
The mass data of maintenance record, that is, maintenance record big data is the data for the various use environments collected in advance, then Big data is the database of the environment similar with the use environment as possible, is some public affairs due to the use of environment in the present embodiment The office of department, it is therein about individual privacy so big data is the mantenance data of the PC machine of some general headquarters of big companies Partial content is by software masking to protect privacy.
Fig. 3 is the schematic diagram for the repairing information that the communication unit in the embodiment of the present invention receives.
Communication unit 102 is used for and reports for repairment terminal communication to obtain repairing information, which includes reporting setting for equipment for repairment Standby identification code, the failure time of occurrence for reporting failure and the equipment for repairment for reporting equipment for repairment, report for repairment contact person, report for repairment contact method, Subscription time, the repairing information are as shown in Figure 3.In the present embodiment, communication unit 102 and terminal is reported for repairment(Such as it is mobile phone terminal, desk-top Computer terminal or webpage web edition this terminal)It is connected network communication to be carried out by way of internet, and one is accompanied with inside it A random coded generator, for giving each from the repairing information reported terminal for repairment and received according to date and sequencing at random It assigns one and uniquely reports number for repairment.
Fig. 4 is that the similar historical information of reporting for repairment that the similar repairing information search part in the embodiment of the present invention retrieves is retrieved As a result schematic diagram.
Similar repairing information search part 103 is obtained in the current repairing information received from repairing information receiving part and is reported for repairment The EIC equipment identification code of equipment and report failure for repairment, and correspondence retrieves institute corresponding with the EIC equipment identification code from record storage portion The failure time of occurrence of some same categories of device reports failure for repairment and the similar of physical fault reports historical information for repairment.In the present embodiment, Similar repairing information search part 103 is to identify that the device class coding in extraction equipment identification code sets to be retrieved to obtain with this The EIC equipment identification code of the corresponding all same categories of device of standby identification code, then retrieves correspondence further according to these EIC equipment identification codes Failure time of occurrence, report failure for repairment and the similar of physical fault reports historical information for repairment, what is obtained similar reports historical information for repairment Retrieval result is as shown in Figure 4.
Fig. 5 is the probability of occurrence for the physical fault that the probability statistics calculating part in the embodiment of the present invention is calculated As a result schematic diagram.
The similar physical fault reported for repairment in historical information is carried out statistic of classification, and calculated by probability statistics calculating part 104 Report the probability of occurrence of each physical fault under failure for repairment to this.
As shown in figure 5, to this EIC equipment identification code 01230026, device class is PC machine, and the fault time reported for repairment is 20170908, it is booting blue screen to report failure for repairment, reports the physical fault of this time PC machine booting blue screen failure of the artificial Lee AB of contact for repairment Probability statistics information.
According to the statistical information of Fig. 5 it is found that being counted by reporting day 20170908 for repairment, memory bar contact occurs not Good, hard disk failure, virus, temperature are excessively high, other have altogether 500 times, and corresponding memory bar poor contact occurs 200 times, to answer seizure ratio Probability is 40%;Hard disk failure occurs 100 times, is 20% to answer seizure ratio probability;Viral failure occurs 80 times, is to answer seizure ratio probability 16%;Temperature is excessively high to be occurred 40 times, is 8% to answer seizure ratio probability;And other failures occur 80 times, are 16% to answer seizure ratio probability.
Fig. 6 is the probability of occurrence for the physical fault that the frequency statistics calculating part in the embodiment of the present invention is calculated As a result schematic diagram.
The similar physical fault reported for repairment in historical information is carried out statistic of classification, and calculated by frequency statistics calculating part 105 The frequency of occurrences of each physical fault under failure is reported for repairment to this, as shown in fig. 6, uniting by reporting day 20170908 for repairment Meter, occur memory bar poor contact, hard disk failure, virus, temperature it is excessively high, other have altogether 500 times, corresponding memory bar poor contact Occur 200 times, will occur within 10-25 days once, average 15.2 days primary;Hard disk failure occurs 100 times, will send out within 25-90 days Raw primary, average 75.6 days primary;Viral failure occurs 80 times, will occur within 8-65 days once, and average 13.5 days primary;Temperature It is excessively high to occur 40 times, 9-190 days will be primary, average 105.6 days are primary;And other failures occur 80 times, 10-126 days are just It can occur once, average 78.5 days primary.
Time retrieves calculating part 106, and generic set corresponding with the EIC equipment identification code is retrieved from record storage portion Standby all failure time of occurrence, and report the last time in all failure time of occurrence for repairment letter with current Failure time of occurrence in breath, which be calculated, reports that fault time is poor for repairment, obtain as shown in Figure 4 be exactly retrieval obtain with All failure time of occurrence of the corresponding generic equipment of the EIC equipment identification code, wherein the last time are recorded as " poor contact of 01230369 PC machine 20170825 booting blue screen memory bar ", then report fault time difference for repairment and arrived for 20170908 20170825 difference is 14 days.
Analyze determination unit 107, the frequency of occurrences for reporting the physical fault corresponding to failure for repairment in current repairing information and It probability of occurrence and reports for repairment on the basis of fault time difference according to judgment rule, carries out analysis judgement and obtain in current repairing information The possible breakdown for reporting equipment for repairment.
Fig. 7 is the schematic diagram of the probability size ranking results in the embodiment of the present invention.
Wherein, judgment rule includes the following steps:
The first step, sequence, by the probability of occurrence data of each physical fault and the physical fault according to probability size order into Row sequence, thus obtains the ranking results of Fig. 7, it is found that this reports failure, the appearance of physical fault for repairment corresponding to booting blue screen Probability size order be respectively memory bar poor contact, hard disk failure, virus, temperature it is excessively high, other, the wherein event of maximum probability Barrier is memory bar poor contact, probability of happening 40%.
Second step, judges whether the probability of occurrence numerical value of sequence first is greater than or equal to a%, if it is just directly prediction should The physical fault of sequence first is this possible breakdown for reporting for repairment and end, is walked if not third is then entered.In the present embodiment, a>b>10, report failure for repairment in this booting blue screen, a 50, b 20, it is clear that the failure of maximum probability is memory bar contact Bad probability of happening 40% is less than 50%, so needing to enter third step.
Third walks, and whether further judges the probability of occurrence numerical value of sequence first more than or equal to b%, if it is being put into 4th step, if not being put into the 5th step.Obvious 40% is greater than 20%, so into the 4th step.
Fig. 8 is current 20170908 booting blue screen prediction result schematic diagram.
4th step further judges the frequency of occurrences for reporting fault time difference and the physical fault of sequence first for repairment, when reporting for repairment When fault time difference is within the scope of the frequency of occurrences, just directly predict that the physical fault of the sequence first is the possibility event that this is reported for repairment Barrier, if not then into the 5th step.As shown in fig. 6, it is 14 days to report fault time difference for repairment, within the scope of corresponding 10-25 days, So directly judging that the possible breakdown for reporting failure for repairment of this booting blue screen is memory bar poor contact, obtained prediction result As shown in Figure 8.
Fig. 9 is the ascending ranking results of the frequency and the difference for reporting fault time difference for repairment in the embodiment of the present invention Schematic diagram.
5th step calculates and reports the frequency of occurrences that fault time difference reports failure corresponding all physical faults for repairment with such for repairment Difference.
This step is exactly that will report the average frequency that fault time poors in 14 days failure-frequencies with each physical fault for repairment Number of days carries out seeking difference operation, by taking the frequency that Fig. 6 occurs as an example, can obtain ranking results shown in Fig. 9, wherein memory bar connects The calculating formula for touching undesirable difference is 15.2-14=1.2 day, and the rest may be inferred by analogy.
The physical fault of difference minimum is directly regarded as this possible breakdown reported for repairment by the 6th step.According to Fig. 9 displayings Ranking results determine failure of the minimum viral failure as prediction.
Maintenance personal is according to the failure of prediction:RAM card poor contact and the corresponding memory bar needed replacing are to scene After checking, it is found that the physical fault of this booting blue screen is exactly memory bar damage, directly replace.
The repair feed back input picture view of the positions Figure 10 picture warehousing department storage.
Picture storage part 108 is stored with for inputting physical fault and corresponding treatment measures and repairing cost Feed back input picture 1081 is repaired, picture is as shown in Figure 10, has and reports number input frame, physical fault input frame for repairment, handles and arrange It applies input frame and repair spends input frame.
Display input section 109 allows people according to repair feed back input picture for showing repair feed back input picture 1081 To reporting for repairment in current repairing information, equipment carries out the physical fault found after overhauling on the spot, processing is arranged for 1081 prompt input Impose and repair spent cost.
Figure 11 is the schematic diagram of the information in the updated record storage portion in the embodiment of the present invention.
Update section 110 is recorded, the physical fault, treatment measures and repair for inputting display input section 109 are spent The cost of expense is updated storage according to the corresponding repairing information correspondence of number is reported for repairment in record storage portion 101, for inputting dimension It repaiies personnel and the physical fault, treatment measures and the dimension that are found after overhauling on the spot is carried out to the equipment of reporting for repairment in current repairing information Spent cost is repaiied, and the physical fault is corresponded in storage to record storage portion 101, and stores update and obtains such as Figure 11 The information in updated record storage portion.
Figure 12 is that the repair of 01230036 PC machine cut-off till now in the embodiment of the present invention spends statistical result Schematic diagram.
Maintenance cost Department of Statistics 111 counts the number that the physical fault of the equipment corresponding to some EIC equipment identification code occurs, And the repair that the physical fault having occurred and that is calculated according to set price is spent.By taking the PC machine of EIC equipment identification code 01230036 as an example It has obtained spending statistical information such as the repair of Figure 12.
When the repair of equipment spends the value more than or equal to the equipment, replaces determination unit 112 and decide that the equipment is State to be replaced.As shown in figure 12, it is 923 that statistics, which obtains the maintenance cost for the PC machine that EIC equipment identification code is 01230036, is not had More than the apparatus value of the equipment.
Prompting portion 113 is replaced, for generating prompting message according to the judgement result for replacing determination unit, administrative staff is allowed to carry out Processing.
Control unit 114, for being controlled.
In above-described embodiment, it is by taking large-scale school as an example to report equipment for repairment, these equipment include mainly just that office equipment and instrument are set It is standby, and office equipment includes personal computer, server, printer, facsimile machine, duplicator, all-in-one machine.
The repair of the Maintenance forecast device based on history maintenance record big data in the present embodiment described further below is transported Row process and step.
Step S1, the communication unit 102 of Maintenance forecast device 100 obtain external repairing information with terminal communication is reported for repairment.
Step S2 is obtained from current repairing information and is reported the EIC equipment identification code of equipment for repairment and report failure for repairment, and corresponding from note Retrieved in address book stored portion the failure time of occurrence of all same categories of device corresponding with the EIC equipment identification code, report for repairment failure with And the similar of physical fault reports historical information for repairment.
The similar physical fault reported for repairment in historical information is carried out statistic of classification, and this is calculated and reports event for repairment by step S3 The probability of occurrence of each physical fault under barrier.
The similar physical fault reported for repairment in historical information is carried out statistic of classification, and this is calculated and reports event for repairment by step S4 The frequency of occurrences of each physical fault under barrier.
Step S5 retrieves all failure time of occurrence of generic equipment corresponding with the EIC equipment identification code, and Failure time of occurrence in the last time and current repairing information in all failure time of occurrence is counted It is poor that calculation obtains reporting fault time for repairment.
Step S6 carries out the probability of occurrence data of each physical fault and the physical fault according to probability size order Sequence.
Step S7, judges whether the probability of occurrence numerical value of sequence first is greater than or equal to 50%, if it is just directly prediction should The physical fault of sequence first is this possible breakdown for reporting for repairment and enters step S12, if not then entering step S8.
Whether step S8, further judge the probability of occurrence numerical value of sequence first more than or equal to 20%, if it is being put into Step S9, if not being put into step S10.
Step S9 further judges the frequency of occurrences for reporting fault time difference and the physical fault of sequence first for repairment, when reporting for repairment When fault time difference is within the scope of the frequency of occurrences, just directly predict that the physical fault of the sequence first is the possibility event that this is reported for repairment Barrier, if not then entering step S10.
Step S10 is calculated and is reported the frequency of occurrences that fault time difference reports the corresponding all physical faults of failure for repairment with such for repairment Difference.
The physical fault of difference minimum is directly regarded as this possible breakdown reported for repairment by step S11.
Step S12, maintenance personal are prepared according to the possible breakdown of prediction, to reporting device context for repairment to currently reporting letter for repairment Equipment of reporting for repairment in breath carries out maintenance discovery physical fault on the spot and places under repair.
Step S13 is inputted according to the prompt of repair feed back input picture 1081 to reporting equipment for repairment in current repairing information The cost that physical fault, treatment measures and the repair found after overhauling on the spot is spent.
Step S14 updates storage the cost correspondence that the physical fault, treatment measures and repair of input are spent.
Step S15 counts the number that the physical fault of the equipment corresponding to some EIC equipment identification code occurs, and according to predetermined The repair for the physical fault that calculation of price has occurred and that is spent;
Step S16 decides that the equipment is shape to be replaced when the repair of equipment spends the value more than or equal to the equipment State;
Step S17 just generates prompting message when the state of some equipment is state to be replaced, administrative staff is allowed to handle: It scraps and applies purchasing.
The effect of embodiment
Maintenance forecast device according to the present invention based on history maintenance record big data, because of the record storage portion having, All maintenance records and device attribute information of equipment are stored with, device attribute information includes that uniquely corresponding equipment is known with equipment Other code, maintenance record include that the failure time of occurrence of equipment, the equipment report failure and the physical fault of the equipment for repairment;Have Communication unit can with report for repairment terminal communication come obtain including report equipment for repairment EIC equipment identification code, report for repairment equipment report for repairment failure with And the repairing information of the failure time of occurrence of the equipment;The similar repairing information search part having can report letter for repairment from current It is obtained in breath and currently reports the EIC equipment identification code of equipment for repairment and report failure for repairment, and correspondence retrieves and the equipment from record storage portion The corresponding all same categories of device of identification code and its report failure for repairment and report that failure is identical similar to report history note for repairment for repairment with current Record, the similar historical record that reports for repairment include corresponding failure time of occurrence, report failure and physical fault for repairment;The probability system having The similar physical fault reported for repairment in historical record can be carried out statistic of classification by meter calculating part, and this is calculated and reports for repairment under failure Each physical fault probability of occurrence;The frequency statistics calculating part having can be by the similar practical event reported for repairment in historical record Barrier carries out statistic of classification, and the frequency of occurrences of each physical fault reported for repairment under failure is calculated;The time retrieval having Calculating part, when all failures that generic equipment corresponding with the EIC equipment identification code is retrieved from record storage portion occur Between, and by the failure time of occurrence in the last time and current repairing information in all failure time of occurrence into Row is calculated that report fault time for repairment poor;It is right can to report failure institute for repairment in current repairing information for the analysis determination unit having It the frequency of occurrences and probability of occurrence of the physical fault answered and reports for repairment on the basis of fault time difference according to judgment rule, is divided Analysis judgement obtains the possible breakdown for reporting equipment for repairment in current repairing information;Picture storage part is at least stored with display input picture Face;The equipment of reporting for repairment that the display input section having can show display input picture to allow people to input in current repairing information carries out The cost that the physical fault and repair found after overhauling on the spot is spent;The record update section having can input display The cost correspondence that the physical fault of portion's input and repair are spent updates storage in record storage portion, so, it is of the invention The Maintenance forecast device of history maintenance record big data can report failure institute for repairment according to some in history maintenance record big data Judgement is compared in the probability of occurrence of corresponding physical fault, the frequency of occurrences, and to automatically derive, current to report failure institute for repairment right The possible breakdown answered completes the forecast based on history maintenance record to reporting failure for repairment.
Because the Maintenance forecast device based on history maintenance record in the present embodiment also has record typing portion, can be defeated Enter maintenance personal and the physical fault that is found after overhauling on the spot carried out to the equipment of reporting for repairment in current repairing information, and by the reality Failure corresponds in storage to storage part, and such setting can be updated the data constantly, allowed mantenance data to record and updated, made The probability of occurrence for reporting the physical fault corresponding to failure for repairment of certain a kind of equipment, the frequency of occurrences can be slowly to true number Be worth it is close so that prediction result it is more acurrate.
Again because the EIC equipment identification code in the present embodiment includes device class coding and equipment serial number, and such setting is just In being counted and identified.
Further, the judgment rule in the analytical judgment portion in the present embodiment is to combine the physical fault reported for repairment corresponding to failure Probability of occurrence and the frequency of occurrences carry out comprehensive descision, so result can be more acurrate.
Moreover, because the mass data of maintenance record, that is, maintenance record big data is the various use environments collected in advance Data, then big data is the database of the environment similar with the use environment as possible, in the present embodiment, due to the use of environment It is that the office of some company thus and thus passes through so big data is the mantenance data of the PC machine of some general headquarters of big companies The service condition different to correspondence, selects different databases, and it is accuracy that can improve prediction as far as possible.
Further, the Maintenance forecast device based on history maintenance record big data in the present embodiment has maintenance cost Department of Statistics replaces determination unit, counts the number that the physical fault of the equipment corresponding to some EIC equipment identification code occurs, and according to dimension The repair that the set price repaiied calculates the physical fault having occurred and that is spent, and is greater than or equal to the equipment when the repair of equipment is spent Value when, replace determination unit decide that the equipment be state to be replaced, replaced, without being repaired again.
The above embodiment is the preferred case of the present invention, is not intended to limit protection scope of the present invention.

Claims (10)

1. a kind of Maintenance forecast device based on history maintenance record big data, for reporting contact person for repairment by reporting terminal hair for repairment The possible breakdown for reporting equipment for repairment in the repairing information sent predicted, including:
Record storage portion, is used for all maintenance records and device attribute information of storage device, and device attribute information includes and sets Standby unique corresponding EIC equipment identification code, maintenance record include the failure time of occurrence of equipment, the equipment report failure for repairment and should The physical fault of equipment;
Communication unit, for reporting terminal communication for repairment with described and obtaining the repairing information, which includes that described report for repairment sets The standby EIC equipment identification code described report the described of equipment for repairment and reports failure and the failure time of occurrence of the equipment for repairment;
Similar repairing information search part obtains the presently described equipment for reporting equipment for repairment from the current repairing information and knows Other code and it is described report failure for repairment, and it is corresponding retrieved from the record storage portion it is corresponding with the EIC equipment identification code all Same category of device and its report for repairment failure with it is presently described report for repairment failure it is identical it is similar report historical record for repairment, this is similar to report history for repairment Record includes the corresponding failure time of occurrence, described reports failure and the physical fault for repairment;
The similar physical fault reported for repairment in historical record is carried out statistic of classification, and calculated by probability statistics calculating part Obtain the probability of occurrence of each physical fault reported for repairment under failure;
The similar physical fault reported for repairment in historical record is carried out statistic of classification, and calculated by frequency statistics calculating part Obtain the frequency of occurrences of each physical fault reported for repairment under failure;
Time retrieves calculating part, and generic equipment corresponding with the EIC equipment identification code is retrieved from the record storage portion All failure time of occurrence, and by all failure time of occurrence the last time and current institute It states the failure time of occurrence in repairing information and be calculated that report fault time for repairment poor;
Analyze determination unit, in current repairing information described in report for repairment the physical fault corresponding to failure the frequency of occurrences and It probability of occurrence and reports for repairment on the basis of fault time difference according to judgment rule, carries out analysis judgement and obtain in current repairing information The possible breakdown for reporting equipment for repairment;
Picture storage part is at least stored with display input picture;
Display input section, for show display input picture allow people input in current repairing information described in report equipment for repairment The cost that the physical fault and repair that progress is found after overhauling on the spot are spent;And
Update section is recorded, the spent cost of the physical fault and the repair for inputting the display input section Correspondence updates storage in the record storage portion.
2. the Maintenance forecast device according to claim 1 based on history maintenance record big data, it is characterised in that:
Wherein, the EIC equipment identification code includes device class coding and equipment serial number,
The similar repairing information search part is that the device class that identification is extracted in the EIC equipment identification code encodes to carry out Retrieval obtains the EIC equipment identification code of all same categories of device corresponding with the EIC equipment identification code, is then set further according to these Standby identification code retrieves the corresponding failure time of occurrence, described reports failure for repairment and similar report for repairment of the physical fault is gone through The Records of the Historian is recorded.
3. the Maintenance forecast device according to claim 1 based on history maintenance record big data, it is characterised in that:
Wherein, the judgment rule includes the following steps:
The first step carries out the probability of occurrence data of each physical fault and the physical fault according to probability size order Sequence;
Second step, judges whether the probability of occurrence numerical value of sequence first is greater than or equal to a%, if it is just directly prediction should The physical fault of sequence first is this possible breakdown for reporting for repairment and end, is walked if not third is then entered;
Third walks, and whether further judges the probability of occurrence numerical value of sequence first more than or equal to b%, if it is being put into 4th step, if not being put into the 5th step;
4th step further reports the frequency of occurrences of fault time difference and the physical fault of sequence first for repairment described in judgement, when It is described when reporting fault time difference for repairment within the scope of the frequency of occurrences, just directly predict that the physical fault of the sequence first is this The possible breakdown reported for repairment, if not then into the 5th step;
5th step reports the appearance frequency that fault time difference reports the corresponding all physical faults of failure for repairment with such described in calculating for repairment The difference of rate;
The physical fault of difference minimum is directly regarded as this possible breakdown reported for repairment by the 6th step,
a>b>10。
4. the Maintenance forecast device according to claim 1 based on history maintenance record big data, it is characterised in that:
Wherein, it is described report for repairment terminal be mobile terminal or fixed terminal,
It is described to report the office equipment that equipment includes office for repairment.
5. the Maintenance forecast device according to claim 1 based on history maintenance record big data, it is characterised in that:
Wherein, the record storage portion is also stored with treatment measures corresponding with the physical fault,
Corresponding, the display input section also shows the processing that the display inputs after being overhauled on the spot after picture allows right input to report for repairment Measure.
6. the Maintenance forecast device according to claim 1 based on history maintenance record big data, which is characterized in that also wrap It includes:
Maintenance cost Department of Statistics replaces determination unit,
Wherein, the also corresponding value for being stored with equipment in the record storage portion,
The maintenance cost Department of Statistics counts the number that the physical fault of the equipment corresponding to some EIC equipment identification code occurs, and root The repair that the physical fault having occurred and that is calculated according to set price is spent,
When the repair of the equipment spends the value more than or equal to the equipment, the replacement determination unit decides that this sets Standby is state to be replaced.
7. the Maintenance forecast device according to claim 6 based on history maintenance record big data, which is characterized in that also wrap It includes:
Prompting portion is replaced, for generating prompting message according to the judgement result for replacing determination unit, is allowed at administrative staff Reason.
8. the failure predication based on history maintenance record big data and the method repaired, which is characterized in that have below Step:
Step S1, obtains external repairing information, which includes the EIC equipment identification code for reporting equipment for repairment, described It reports the described of equipment for repairment and reports failure and the failure time of occurrence of the equipment for repairment;
Step S2 is obtained from current repairing information and is reported the EIC equipment identification code of equipment for repairment and report failure for repairment, and corresponding from the note Retrieved in address book stored portion all same categories of device corresponding with the EIC equipment identification code and its report for repairment failure with it is presently described Report for repairment failure it is identical it is similar report historical record for repairment, this is similar report for repairment historical record include the corresponding failure time of occurrence, It is described to report failure and the physical fault for repairment;
The similar physical fault reported for repairment in historical record is carried out statistic of classification, and this is calculated and reports for repairment under failure by step S3 Each physical fault probability of occurrence;
The similar physical fault reported for repairment in historical record is carried out statistic of classification, and this is calculated and reports for repairment under failure by step S4 Each physical fault the frequency of occurrences;
Step S5, retrieves all failure time of occurrence of generic equipment corresponding with the EIC equipment identification code, and by institute The failure time of occurrence in the last time and current repairing information in some failure time of occurrence calculate It is poor to fault time is reported for repairment;
Step S6 arranges the probability of occurrence data of each physical fault and the physical fault according to probability size order Sequence;
Step S7, judges whether the probability of occurrence numerical value of sequence first is greater than or equal to 50%, if it is just directly predicting the sequence First physical fault is this possible breakdown for reporting for repairment and enters step S12, if not then entering step S8;
Whether step S8, further judge the probability of occurrence numerical value of sequence first more than or equal to 20%, if it is being put into step S9, if not being put into step S10;
Step S9 further judges the frequency of occurrences for reporting fault time difference and the physical fault of sequence first for repairment, when reporting failure for repairment When time difference is within the scope of the frequency of occurrences, just directly predict that the physical fault of the sequence first is the possible breakdown that this is reported for repairment, If not then entering step S10;
Step S10, calculate report for repairment fault time difference with such report for repairment the corresponding all physical faults of failure the frequency of occurrences difference Value;
The physical fault of difference minimum is directly regarded as this possible breakdown reported for repairment by step S11;
Step S12, maintenance personal are prepared according to the possible breakdown of prediction, to reporting device context for repairment in current repairing information Report for repairment equipment carry out on the spot maintenance find physical fault after overhauled.
9. the failure predication according to claim 8 based on history maintenance record big data and the method repaired, It is characterized in that also there is following step:
Step S13, input in current repairing information it is described report for repairment equipment carry out the physical fault found after overhauling on the spot with And the cost that repair is spent;
Step S14 updates storage the spent cost correspondence of the physical fault of input and the repair.
10. the failure predication according to claim 9 based on history maintenance record big data and the method repaired, It is characterized in that also there is following step:
Step S15 counts the number that the physical fault of the equipment corresponding to some EIC equipment identification code occurs, and according to set price The repair for calculating the physical fault having occurred and that is spent;
Step S16 decides that the equipment is shape to be replaced when the repair of equipment spends the value more than or equal to the equipment State;
Step S17 just generates prompting message when the state of some equipment is state to be replaced, administrative staff is allowed to handle: It scraps and applies purchasing.
CN201810530206.3A 2018-05-29 2018-05-29 Maintenance forecast device based on history maintenance record big data and method Pending CN108717577A (en)

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109284841A (en) * 2018-11-16 2019-01-29 四川长虹电器股份有限公司 Household electrical appliances fault diagnosis system based on history mantenance data
CN109489178A (en) * 2018-11-08 2019-03-19 珠海格力电器股份有限公司 Apparatus failure processing method, system and air-conditioning
CN109635997A (en) * 2018-11-02 2019-04-16 广州裕申电子科技有限公司 A kind of prediction technique and system on equipment maintenance opportunity
CN110222898A (en) * 2019-06-11 2019-09-10 北京无线电测量研究所 Equipment fault method for maintaining and device
CN110738352A (en) * 2019-09-12 2020-01-31 武汉儒松科技有限公司 Maintenance dispatching management method, device, equipment and medium based on fault big data
CN111626498A (en) * 2020-05-25 2020-09-04 成都中电熊猫显示科技有限公司 Equipment operation state prediction method, device, equipment and storage medium
CN112633527A (en) * 2020-12-18 2021-04-09 威海天鑫现代服务技术研究院有限公司 Enterprise maintenance network management method, system, computer equipment and storage medium
CN114648135A (en) * 2022-03-25 2022-06-21 南京企之鑫科技有限公司 Maintenance alarm processing method and system based on parking frequency
CN114666374A (en) * 2022-03-31 2022-06-24 金陵科技学院 Automatic construction method for fault path of special communication system for rail transit
WO2023133682A1 (en) * 2022-01-11 2023-07-20 宁德时代新能源科技股份有限公司 Battery detection method, apparatus, device, storage medium and computer program product

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102982400A (en) * 2011-08-03 2013-03-20 通用电气公司 A system for use with a risk management system
CN104091245A (en) * 2014-07-28 2014-10-08 上海佳图数码科技有限公司 Maintenance service system
CN107360038A (en) * 2017-08-11 2017-11-17 杰克缝纫机股份有限公司 A kind of industrial sewing machine reports method and system, intelligent terminal, server for repairment
CN108021992A (en) * 2017-11-15 2018-05-11 河北农业大学 A kind of multimedia teaching facility network complaint management system and method
CN108537386A (en) * 2018-04-13 2018-09-14 上海财经大学 Maintenance forecast device based on history maintenance record

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102982400A (en) * 2011-08-03 2013-03-20 通用电气公司 A system for use with a risk management system
CN104091245A (en) * 2014-07-28 2014-10-08 上海佳图数码科技有限公司 Maintenance service system
CN107360038A (en) * 2017-08-11 2017-11-17 杰克缝纫机股份有限公司 A kind of industrial sewing machine reports method and system, intelligent terminal, server for repairment
CN108021992A (en) * 2017-11-15 2018-05-11 河北农业大学 A kind of multimedia teaching facility network complaint management system and method
CN108537386A (en) * 2018-04-13 2018-09-14 上海财经大学 Maintenance forecast device based on history maintenance record

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109635997A (en) * 2018-11-02 2019-04-16 广州裕申电子科技有限公司 A kind of prediction technique and system on equipment maintenance opportunity
CN109489178A (en) * 2018-11-08 2019-03-19 珠海格力电器股份有限公司 Apparatus failure processing method, system and air-conditioning
CN109284841A (en) * 2018-11-16 2019-01-29 四川长虹电器股份有限公司 Household electrical appliances fault diagnosis system based on history mantenance data
CN110222898A (en) * 2019-06-11 2019-09-10 北京无线电测量研究所 Equipment fault method for maintaining and device
CN110738352A (en) * 2019-09-12 2020-01-31 武汉儒松科技有限公司 Maintenance dispatching management method, device, equipment and medium based on fault big data
CN111626498A (en) * 2020-05-25 2020-09-04 成都中电熊猫显示科技有限公司 Equipment operation state prediction method, device, equipment and storage medium
CN111626498B (en) * 2020-05-25 2023-10-24 成都京东方显示科技有限公司 Equipment running state prediction method, device, equipment and storage medium
CN112633527A (en) * 2020-12-18 2021-04-09 威海天鑫现代服务技术研究院有限公司 Enterprise maintenance network management method, system, computer equipment and storage medium
WO2023133682A1 (en) * 2022-01-11 2023-07-20 宁德时代新能源科技股份有限公司 Battery detection method, apparatus, device, storage medium and computer program product
CN114648135A (en) * 2022-03-25 2022-06-21 南京企之鑫科技有限公司 Maintenance alarm processing method and system based on parking frequency
CN114666374A (en) * 2022-03-31 2022-06-24 金陵科技学院 Automatic construction method for fault path of special communication system for rail transit

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Application publication date: 20181030