CN111882087A - Equipment maintenance processing method, device, computer system and readable storage medium - Google Patents
Equipment maintenance processing method, device, computer system and readable storage medium Download PDFInfo
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Abstract
The invention discloses a device maintenance processing method, a device, a computer system and a readable storage medium, which relate to the technical field of big data, and are used for acquiring a maintenance request for target equipment and acquiring user data and fault data associated with the target equipment according to the maintenance request; acquiring at least one piece of maintenance end information from a database based on the fault data; performing matching degree analysis on the information of each maintenance terminal based on the user data to obtain a matching degree list corresponding to the user data; and acquiring the maintenance end information with the highest matching degree from the matching degree list as a target maintenance end, sending the maintenance request to the target maintenance end, solving the problem of equipment in the prior art, sending a maintenance application, needing a maintenance platform to manually allocate a maintenance point, and solving the problems of long allocation period and low efficiency.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a device maintenance processing method and device, a computer system and a readable storage medium.
Background
The equipment maintenance is the combination of equipment maintenance and repair, is an important component part after-sale of equipment, and has the characteristics of strong professional type, high single price, stability in a passenger cluster and the like.
The inventor of the invention finds in research that at present, some types of equipment maintainers build an online maintenance service system matched with respective equipment, when a problem occurs in user equipment, the equipment maintainers can send maintenance applications online, and after receiving an equipment maintenance request, the equipment maintainers arrange the maintenance personnel to go to the door for maintenance manually, but in the process, after sending the maintenance applications, the maintenance platform needs to manually allocate maintenance points, so that the allocation period is longer, and the efficiency is lower.
Disclosure of Invention
The invention aims to provide a device maintenance processing method, a device, a computer system and a readable storage medium, which are used for solving the problems that in the prior art, a maintenance platform is required to manually allocate maintenance points after a maintenance application is sent out, the allocation period is longer and the efficiency is lower.
In order to achieve the above object, the present invention provides a device maintenance processing method based on big data, including:
the method comprises the steps of obtaining a maintenance request for target equipment, and obtaining user data and fault data related to the target equipment according to the maintenance request;
acquiring at least one piece of maintenance end information from a database based on the fault data;
performing matching degree analysis on the information of each maintenance terminal based on the user data to obtain a matching degree list corresponding to the user data;
and obtaining the maintenance terminal information with the highest matching degree from the matching degree list as a target maintenance terminal, and sending the maintenance request to the target maintenance terminal.
Further, acquiring a maintenance request for a target device, and acquiring user data and fault data associated with the target device according to the maintenance request, includes the following:
the target equipment acquires real-time data of the target equipment;
checking whether the real-time data are fault data or not based on a preset fault database;
if yes, triggering a maintenance request for the target equipment, and acquiring user data and fault data associated with the target equipment according to the maintenance request;
if not, the real-time data is continuously collected.
Further, the obtaining a maintenance request for a target device, and obtaining user data and fault data associated with the target device according to the maintenance request, further includes the following:
receiving a maintenance request for target equipment sent by a user side;
after user data and fault data associated with the target equipment are acquired according to the maintenance request, judging whether fault data exist in a preset fault database or not;
and if the judgment result is negative, adding the fault data into a preset fault database.
Further, before obtaining at least one service end information from a database based on the fault data, the method includes:
judging whether the maintenance request contains preset maintenance end information or not;
if so, sending the maintenance request to a maintenance end address corresponding to the preset maintenance end information;
and if not, acquiring at least one piece of maintenance end information from a database based on the fault data.
Further, performing matching degree analysis on each of the service side information based on the user data to obtain a matching degree list corresponding to the user data, including the following steps:
acquiring device data, location data and service time based on the user data;
screening out a maintenance end information set which accords with a preset range based on the equipment data, the position data and the service time;
acquiring historical response time, service range, service duration and service evaluation data of each maintenance end in the maintenance end information set;
scoring each maintenance terminal based on the historical response time, the service range, the service duration and the service evaluation data to obtain a scoring result;
and sorting based on the grading result to obtain a matching degree list.
Further, after the maintenance request is sent to the target maintenance end, the following is also included:
after receiving a maintenance completion signal sent by a user side, receiving feedback evaluation data sent by the user side;
and updating the service evaluation data of the target maintenance terminal based on the feedback evaluation data.
Further, updating the service evaluation data of the target maintenance end based on the feedback evaluation data includes the following steps:
cleaning and classifying the feedback evaluation data;
acquiring historical service evaluation data, and calculating to acquire new service evaluation data based on the historical service evaluation data and the cleaned and classified feedback evaluation data;
and replacing the historical service evaluation data with the new service evaluation to obtain updated service evaluation data.
In order to achieve the above object, the present invention further provides an apparatus maintenance processing device, including:
the acquisition module is used for receiving a maintenance request and acquiring user data and fault data according to the maintenance request;
the matching module is used for acquiring at least one piece of maintenance end information from a database based on the fault data;
the analysis module is used for carrying out matching degree analysis on the information of each maintenance terminal based on the user data to obtain a matching degree list corresponding to the user data;
and the execution module is used for acquiring the maintenance terminal information with the highest matching degree from the matching degree list as a target maintenance terminal and sending the maintenance request to the target maintenance terminal.
In order to achieve the above object, the present invention further provides a computer-readable storage medium, which includes a plurality of storage media, each storage medium storing a computer program, and the computer programs stored in the storage media, when executed by a processor, collectively implement the steps of the above device maintenance processing method.
According to the equipment maintenance processing method, the equipment maintenance processing device, the computer system and the readable storage medium, after the server end receives the maintenance application, the maintenance end information meeting the condition is screened according to the user information, the maintenance end meeting the condition is graded, the maintenance end matching degree list corresponding to the maintenance application is obtained, and finally the maintenance end which is most matched is selected according to the matching degree list to send the maintenance application.
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FIG. 1 is a flowchart of a first embodiment of an apparatus maintenance processing method according to the present invention;
fig. 2 is a flowchart of a server-side autonomous detection obtaining a maintenance request for a target device according to an embodiment of a device maintenance processing method of the present invention;
fig. 3 is a flowchart of a first method for processing a device maintenance according to the present invention, where the first method is used to receive a maintenance request for a target device from a user side;
FIG. 4 is a flowchart of an apparatus maintenance processing method according to a first embodiment of the present invention, before at least one piece of service end information is obtained from a database based on the fault data;
fig. 5 is a flowchart illustrating a matching degree analysis performed on each of the repair side information based on the user data to obtain a matching degree list corresponding to the user data according to the first embodiment of the device maintenance processing method of the present invention;
FIG. 6 is a flowchart of an apparatus maintenance processing method according to a first embodiment of the present invention after sending the maintenance request to a target maintenance end;
fig. 7 is a flowchart illustrating updating of service evaluation data of the target maintenance end based on the feedback evaluation data according to the first embodiment of the apparatus maintenance processing method of the present invention;
FIG. 8 is a schematic diagram of program modules of a second apparatus for maintaining a security according to an embodiment of the present invention;
fig. 9 is a schematic diagram of a hardware structure of a computer device in the third embodiment of the computer system according to the present invention.
Reference numerals:
6. equipment maintenance processing device 61, acquisition module 62 and matching module
63. Analysis module 631, first information acquisition unit 632, and screening unit
633. Second information acquisition unit 634, scoring unit 635, and determination unit
64. Execution module 65, feedback module 66, processing module
7. Computer device 71, memory 72, processor
73. Network interface
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. 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.
The invention provides a device maintenance processing method, a device, a computer system and a readable storage medium, which are suitable for the field of data analysis of big data and provide a device maintenance processing method based on an acquisition module, a matching module, an analysis module and an execution module. The maintenance point scheduling method comprises the steps of receiving a maintenance request and determining fault data through a receiving module, obtaining at least one maintenance end information through a matching module based on the fault data matching, screening maintenance end information meeting conditions according to user information through an analysis module, grading the maintenance ends meeting the conditions to obtain a maintenance end matching degree list corresponding to the maintenance application, and finally selecting the most matched maintenance end according to the matching degree list through an execution module to send the maintenance application.
Example one
Referring to fig. 1, an apparatus maintenance processing method based on big data in this embodiment is used for a maintenance platform server, and referring to fig. 1, the method includes:
s100: the method comprises the steps of obtaining a maintenance request for target equipment, and obtaining user data and fault data related to the target equipment according to the maintenance request;
the user data includes, but is not limited to, device data, industry data, location data, service time, etc.
In this embodiment, the maintenance request may be sent autonomously by the user side (as described in S121-S124 below), or may be obtained by autonomous detection at the server side in S111-S114 below, and meanwhile, because of the strong professional of equipment maintenance, different industries and different equipment have large differences in maintenance requirements, the maintenance processing method in this embodiment is preferentially focused on three industries, namely, focus machine addition, sheet metal, and injection molding, and can obtain a corresponding industry label from the maintenance request to match the corresponding industry for maintenance processing.
Specifically, when the maintenance request is obtained by server-side autonomous detection, the obtaining and receiving of the maintenance request for the target device in step S100 obtains user data and fault data associated with the target device according to the maintenance request, referring to fig. 2, which specifically includes the following steps:
s111: matching and associating with equipment, detecting the target equipment in real time and acquiring real-time data of the target equipment;
specifically, matching with the device and associating with the device may adopt a bluetooth connection, a wireless connection, and associating with the device, the server collects the device information in real time to detect whether the device is faulty, the real-time monitoring may be implemented by collecting current device data at a preset time interval, and the device data includes but is not limited to: the device running time, the device running state, the device running frequency, and the like, for example, take a printer as an example, and acquire printer driver information: driver _ info _8, get printer status can use getprinter, return information, can use switch to enumerate status; the state information of the printer queue needs to be acquired, and the state information of the printer queue can be acquired through a Windows API function ENumJobs. Therefore, the method is beneficial to faster discovering and processing the equipment problem by the user, and reduces the influence on the work of the user caused by the fact that the user cannot normally use the equipment after discovering the problem.
S112: checking whether the real-time data are fault data or not based on a preset fault database;
specifically, the fault database can be initially established by means of docking a database of a core provider, a third-party knowledge base and the like, and meanwhile, the fault code base is enriched and improved through continuous accumulation of fault data in subsequent maintenance orders.
S113: if yes, triggering a maintenance request for the target equipment, and acquiring user data and fault data associated with the target equipment according to the maintenance request;
s114: if not, the real-time data is continuously collected.
In the above embodiment, when it is monitored that the real-time device data is consistent with the data in the failure database, it is indicated that the device has a failure, at this time, the maintenance request is directly and automatically triggered, and if the real-time device data is not consistent with the data in the failure database, it is indicated that the device is normal, and the real-time monitoring is continued, specifically, the printer is taken as an example: fault data includes, but is not limited to, the following: and when the device running state return data in the real-time device data is consistent with any one of the fault data, the maintenance request can be directly and automatically triggered.
When the device and the server side are matched to realize that the real-time monitoring device can generally only find a problem through the fault database, but send out a maintenance request can be sent by the user side autonomously, that is, after finding out a device fault, the user sends out a maintenance request, at this time, the fault problem may be fault data corresponding to the fault database, or may be new fault data, that is, the fault data is never recorded in the fault database, and when the new fault data occurs, it needs to record the fault data to enter the fault database to realize updating of the fault database, therefore, when the user side sends out the maintenance request autonomously, the maintenance request for the target device is obtained, and the user data and the fault data associated with the target device are obtained according to the maintenance request, referring to fig. 3, including the following steps:
s121: receiving a maintenance request for the target equipment sent by a user side;
s122: acquiring user data and fault data associated with the target equipment according to the maintenance request;
s123: after step S122 is completed, determining whether the fault data exists in a preset fault database;
s124: and if the judgment result is negative, adding the fault data into a preset fault database.
Through the method of recording the newly-appeared fault data into the fault database, the fault data in the fault database is updated and supplemented, and the accuracy of automatic fault data discovery in S111-S114 is further improved.
S200: acquiring at least one piece of maintenance end information from a database based on the fault data;
in the scheme, a plurality of maintenance end information are preset in the database, each maintenance end information comprises position information of a corresponding maintenance end, resolvable fault data, service time, response time, service range, service evaluation data and the like, and a plurality of maintenance end information capable of resolving the fault data can be obtained based on the fault data in a matching mode.
In addition to the above automatic matching to obtain multiple pieces of maintenance end information and then performing subsequent screening, the user end may also designate maintenance end information, that is, the maintenance request includes designated maintenance end information, so that before obtaining at least one piece of maintenance end information from the database based on the fault data, referring to fig. 4, the method includes the following steps:
s210: judging whether the maintenance request contains preset maintenance end information or not;
s220: if so, sending the maintenance request to a maintenance end address corresponding to the preset maintenance end information;
s230: and if not, acquiring at least one piece of maintenance end information from a database based on the fault data.
In the above embodiment, when it is detected that the maintenance request includes the designated maintenance end information, the maintenance end with the highest matching degree is directly skipped from the subsequent screening, and the maintenance request is directly pushed to the corresponding maintenance end address.
According to the scheme, the appointed maintenance end sent by the user side is received, the maintenance request is directly sent to the appointed maintenance end after the address of the maintenance end appointed by the user is received, the time of allocation flow is further shortened, the efficiency is improved, the maintenance applications of multiple industries can be received, and the maintenance ends of corresponding types are automatically matched according to the industry identification in the maintenance applications
S300: performing matching degree analysis on the information of each maintenance terminal based on the user data to obtain a matching degree list corresponding to the user data;
specifically, the matching degree analysis is performed on each of the service side information based on the user data, and a matching degree list corresponding to the user data is obtained, referring to fig. 5, which includes the following steps:
s311: acquiring device data, location data and service time based on the user data;
s312: screening out a maintenance end information set which accords with a preset range based on the equipment data, the position data and the service time;
s313: acquiring historical response time, service range, service duration and service evaluation data of each maintenance end in the maintenance end information set;
s314: scoring each maintenance terminal based on the historical response time, the service range, the service duration and the service evaluation data to obtain a scoring result;
in this embodiment, each maintenance end may be scored through a pre-trained scoring model or a pre-set scoring rule, specifically, a scoring result may be obtained by weighting after processing each dimension data, the processing of each dimension data may be to convert or map data of each maintenance end in a corresponding dimension, for example, a score corresponds to a history corresponding time within a pre-set first range, another score corresponds to a history corresponding time within a pre-set second range, or each maintenance end is compared and ordered in a corresponding dimension, for example, each ranking corresponds to a score if history response time is ordered from short to long; and a logistic regression model can be established to realize the scoring of each maintenance end. It should be noted that, under the service evaluation information dimension, the emotional tendency of each evaluation can be obtained through semantic recognition and then scored, and a specific semantic recognition method can be recognized through a common semantic recognition model.
S315: and sorting based on the grading result to obtain a matching degree list.
Specifically, in the above S314-S315, the service end information screened out to meet the user data is scored, the highest score is the most matched service end, and overall evaluation is implemented through dimensionalities such as response time, service range, service evaluation and the like, for example, the faster the corresponding time is, the higher the score is, the closer the service range is to the user, the higher the score is, and the like, and the service evaluation information can be updated according to the evaluation after each user uses.
In addition to the matching degree list obtained through automatic sequencing of the system, the system can also be butted with maintenance ends, namely all maintenance ends can receive all maintenance applications, the maintenance ends can automatically preempt orders, order-preemption dimensionality addition and matching degree scoring can be set, namely the maintenance ends triggering order preemption score is higher.
S400: and obtaining the maintenance terminal information with the highest matching degree from the matching degree list as a target maintenance terminal, and sending the maintenance request to the target maintenance terminal.
In the implementation process, the maintenance request adopts a pure online electronic work order form, and after a maintenance end receives a maintenance order, a maintenance person is automatically dispatched according to information such as the location, time, equipment classification, the existing order condition and the like, and manual reassignment is supported; when a maintainer goes to home for service, the maintainer can directly position and navigate through an order address; before maintenance is started, positioning and punching are needed to send position data to a server, the server can automatically compare a current positioning place with a maintenance address in an order, and the server cannot confirm start of work after the distance exceeds the maximum acceptable error, so that a maintainer can not confirm in advance; and after the maintenance is finished, the user side and the maintenance end respectively confirm the order to finish the maintenance, and the user side and the maintenance end in the maintenance progress are visible through real-time transmission of the server end.
In this scheme, in order to further improve the accuracy of the matched target maintenance end, after sending the maintenance request to the target maintenance end, referring to fig. 6, the following is also included:
s510: after receiving a maintenance completion signal sent by a user side, receiving feedback evaluation data sent by the user side;
the feedback evaluation of the user comprises maintenance effect (such as a good, general and poor grade button), maintenance personnel attitude (such as a good, general and poor grade button), text evaluation and the like. The feedback evaluation data received from each user side is processed, and the previous feedback evaluation is integrated to score the corresponding maintenance side, so that the matching degree list in step S300 can be updated.
S520: and updating the service evaluation data of the target maintenance terminal based on the feedback evaluation data.
Specifically, the updating of the service evaluation data of the target service end based on the feedback evaluation data, referring to fig. 7, includes the following steps:
s520-1: cleaning and classifying the feedback evaluation data;
the cleaning of the feedback evaluation data comprises the elimination of invalid data and the recognition of an OCR (optical character recognition) seal mode of the picture; for example, the classifying of the feedback evaluation data includes classifying the associated data according to a preset rule, or classifying the data by using a pre-trained classification model (KNN, random forest model, etc.), or processing the feedback evaluation data by using a semantic recognition model, classifying the feedback evaluation data according to emotional tendency (such as positive evaluation or negative evaluation), and the like
S520-2: acquiring historical service evaluation data, and calculating to acquire new service evaluation data based on the historical service evaluation data and the cleaned and classified feedback evaluation data;
in the above embodiment, the feedback evaluation data of the user side is received after the maintenance process is completed, and then each maintenance side is monitored in real time, so that the scoring accuracy in the matching process is ensured, the condition that the maintenance application is pushed to the maintenance side with poor service in the matching process is reduced, and the accuracy of the automatic distribution process is further improved.
S520-3: and replacing the historical service evaluation data with the new service evaluation to obtain updated service evaluation data.
In the foregoing embodiment, after each maintenance order is completed, feedback evaluation data sent by the user side is received, and the service evaluation information of each maintenance side is updated based on each feedback evaluation data, so that the latest data is adopted in the process of scoring each maintenance side in S314, the maintenance side with poor service evaluation has a lower score, and the matching of the user to the maintenance side with poor service is reduced.
The method also comprises the steps of acquiring the historical response time, the service range, the service duration and the service evaluation data from the block chain, and uploading the matching degree list in the step S00, the scoring result in the step S314 and the updated service evaluation data in the step S520-3 to the block chain, so that the safety of the data and the fair and transparent performance to the user can be ensured. The user equipment may download the summary information from the blockchain to verify that the priority list is tampered with. The block chain referred by the application is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
In the scheme, after the server end receives the maintenance application, the server end screens the maintenance end information meeting the conditions according to the user information, scores the maintenance end meeting the conditions to obtain a maintenance end matching degree list corresponding to the maintenance application, and finally selects the maintenance end which is the most matched according to the matching degree list to send out the maintenance application, by the above mode, the automatic matching of the maintenance end is realized, the problems that in the prior art, after a user finds out the equipment problem and autonomously sends out a maintenance application are solved, the scheme can automatically select the optimal maintenance end address and directly send the maintenance request to the maintenance end address, further, the complexity in the manual allocation process is reduced, the maintenance time is shortened, the working efficiency is further improved, and the inconvenience caused by the long maintenance time to the use of a user is reduced.
Example two:
referring to fig. 8, an apparatus maintenance processing device 6 of the present embodiment includes:
the acquisition module 61 is used for receiving a maintenance request and acquiring user data and fault data according to the maintenance request;
the user data includes but is not limited to information such as equipment data, industry data, position data, service time and the like, in the embodiment, the maintenance request can be sent by a user side independently, can also be obtained by independent detection at a server side, can be matched and associated with the equipment in a Bluetooth connection mode, a wireless connection mode and the like, meanwhile, due to the fact that the equipment maintenance specialization is strong, the difference of maintenance requirements of different industries and different equipment is large, the maintenance processing method in the embodiment is preferentially focused on three industries such as focusing machine processing, sheet metal and injection molding, and can obtain corresponding industry labels from the maintenance request so as to match the corresponding industries for maintenance processing.
The fault data can be determined by a fault database which is initially established by means of docking a database of a core supplier, a third-party knowledge base and the like, and meanwhile, the fault code base is enriched and perfected through continuous accumulation of the fault data in a subsequent maintenance order.
A matching module 62 for obtaining at least one maintenance end information from a database based on the fault data;
in the scheme, a plurality of maintenance end information are preset in the database, each maintenance end information comprises position information, resolvable fault data, service time, response time, service range, service evaluation data and the like of a corresponding maintenance end, a plurality of maintenance end information capable of resolving the fault data can be obtained in a matching mode based on the fault data, and the user end can also designate the maintenance end information, namely the maintenance request comprises the designated maintenance end information.
The analysis module 63 is configured to perform matching degree analysis on each of the maintenance terminal information based on the user data, and obtain a matching degree list corresponding to the user data;
specifically, the analysis module 63 includes the following:
a first information acquiring unit 631 for acquiring device data, location data, and service time based on the user data;
a screening unit 632, configured to screen out a maintenance end information set that meets a preset range based on the device data, the location data, and the service time;
a second information obtaining unit 633, configured to obtain historical response time, a service range, service duration, and service evaluation data of each maintenance end in the maintenance end information set;
the scoring unit 634 is used for scoring each maintenance end based on the historical response time, the service range, the service duration and the service evaluation data to obtain a scoring result;
the scoring unit may score each maintenance end through a pre-trained scoring model or a pre-set scoring rule, specifically, may obtain a scoring result by weighting after processing each dimension data, and may further establish a logistic regression model to score each maintenance end.
The determining unit 635 is configured to perform sorting based on the scoring result to obtain a matching degree list.
And the execution module 64 is configured to obtain the maintenance end information with the highest matching degree from the matching degree list as a target maintenance end, and send the maintenance request to the target maintenance end.
In the implementation process, the maintenance request adopts a pure online electronic work order form, and after a maintenance end receives a maintenance order, a maintenance person is automatically dispatched according to information such as the location, time, equipment classification, the existing order condition and the like, and manual reassignment is supported; when a maintainer goes to home for service, the maintainer can directly position and navigate through an order address; and after the maintenance is finished, the user side and the maintenance end respectively confirm the order to finish the maintenance, and the user side and the maintenance end in the maintenance progress are visible through real-time transmission of the server end.
The device maintenance processing device 6 based on big data further comprises the following components:
the feedback module 65 receives the maintenance completion signal sent by the user side, and then receives feedback evaluation data sent by the user side;
the feedback evaluation of the user comprises maintenance effect (such as a good, general and poor grade button), maintenance personnel attitude (such as a good, general and poor grade button), text evaluation and the like.
And the processing module 66 is configured to update the service evaluation data of the target maintenance end based on the feedback evaluation data.
And processing the feedback evaluation data received from each user side, and integrating the previous feedback evaluation to score the corresponding maintenance side so as to update the scoring result of the target maintenance side, thereby updating the matching degree list in the steps.
The scheme is based on data analysis in big data, a maintenance request is received through a receiving module and fault data is determined, a matching module is adopted based on the fault data matching to obtain at least one maintenance end information, the maintenance end information meeting the conditions is screened according to user information based on an analyzing module, the maintenance ends meeting the conditions are graded to obtain a maintenance end matching degree list corresponding to the maintenance end application, and finally an executing module is adopted to select the most matched maintenance end according to the matching degree list to send the maintenance end application.
According to the scheme, the feedback module and the processing module can also receive feedback evaluation data of the user side after the whole maintenance process is completed, so that each maintenance side is monitored immediately, the scoring accuracy in the matching process is ensured, the condition that the maintenance application is pushed to the maintenance side with poor service in the matching process is reduced, and the accuracy of the automatic distribution process is further improved.
In the scheme, whether the user side designates a maintenance end can be judged in the processing process of the matching module, after the address of the maintenance end designated by the user is received, the maintenance request is directly sent to the designated maintenance end, the time of the allocation process is further reduced, the efficiency is improved, the maintenance applications of multiple industries can be received, and the maintenance ends of corresponding types can be automatically matched according to the industry identification in the maintenance applications.
Example three:
in order to achieve the above object, the present invention further provides a computer system, where the computer system includes a plurality of computer devices 7, and components of the device maintenance processing apparatus 6 in the second embodiment may be distributed in different computer devices, and the computer devices may be smartphones, tablet computers, notebook computers, desktop computers, rack-mounted servers, blade servers, tower servers, or rack-mounted servers (including independent servers or a server cluster formed by a plurality of servers) that execute programs, and the like. The computer device of the embodiment at least includes but is not limited to: a memory 71, a processor 72, a network interface 73, and the device maintenance processing apparatus 6, which are communicatively connected to each other via a system bus, as shown in fig. 9. It should be noted that fig. 9 only shows a computer device with components, but it should be understood that not all of the shown components are required to be implemented, and more or fewer components may be implemented instead.
In this embodiment, the memory 71 (i.e., a readable storage medium) includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the storage 71 may be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. In other embodiments, the memory 51 may be an external storage device of a computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, provided on the computer device. Of course, the memory 71 may also include both internal and external storage devices of the computer device. In this embodiment, the memory 71 is generally used for storing an operating system and various application software installed in the computer device, for example, a program code of the device maintenance processing apparatus in the first embodiment. Further, the memory 71 may also be used to temporarily store various types of data that have been output or are to be output.
Processor 72 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 72 generally serves to control the overall operation of the computer apparatus. In this embodiment, the processor 72 is configured to run the program code stored in the memory 71 or process data, for example, run the device maintenance processing apparatus 6, so as to implement the device maintenance processing method according to the first embodiment.
The network interface 73 may comprise a wireless network interface or a wired network interface, and the network interface 73 is typically used for establishing communication connections between the computer device 7 and other computer devices 7. For example, the network interface 73 is used to connect the computer device 7 to an external terminal via a network, establish a data transmission channel and a communication connection between the computer device 7 and the external terminal, and the like. The network may be a wireless or wired network such as an Intranet (Intranet), the Internet (Internet), a Global System of Mobile communication (GSM), Wideband Code Division Multiple Access (WCDMA), a 4G network, a 5G network, Bluetooth (Bluetooth), Wi-Fi, and the like.
It is noted that fig. 9 only shows a computer device 7 with components 71-73, but it is to be understood that not all shown components are required to be implemented, and that more or less components may be implemented instead.
In this embodiment, the device maintenance processing apparatus 6 stored in the memory 71 may also be divided into one or more program modules, and the one or more program modules are stored in the memory 71 and executed by one or more processors (in this embodiment, the processor 72) to complete the present invention.
Example four:
to achieve the above objects, the present invention also provides a computer-readable storage system including a plurality of storage media, such as a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application store, etc., on which a computer program is stored, which when executed by a processor 72, implements corresponding functions. The computer-readable storage medium of this embodiment is used to store a device maintenance processing apparatus, and when executed by the processor 72, implements the device maintenance processing method of the first embodiment.
In one embodiment, the computer-readable storage medium includes a storage data area storing data created according to use of a blockchain node and a storage program area storing a computer program; wherein the computer program, when executed by the processor 72, implements the device maintenance processing method according to any of the embodiments.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An apparatus maintenance processing method, comprising:
the method comprises the steps of obtaining a maintenance request for target equipment, and obtaining user data and fault data related to the target equipment according to the maintenance request;
acquiring at least one piece of maintenance end information from a database based on the fault data;
performing matching degree analysis on the information of each maintenance terminal based on the user data to obtain a matching degree list corresponding to the user data;
and obtaining the maintenance terminal information with the highest matching degree from the matching degree list as a target maintenance terminal, and sending the maintenance request to the target maintenance terminal.
2. The device maintenance processing method according to claim 1, wherein the obtaining of the maintenance request for the target device, and the obtaining of the user data and the fault data associated with the target device according to the maintenance request, comprise:
detecting the target equipment in real time and collecting real-time data of the target equipment;
checking whether the real-time data are fault data or not based on a preset fault database;
if yes, triggering a maintenance request for the target equipment, and acquiring user data and fault data associated with the target equipment according to the maintenance request;
if not, the real-time data is continuously collected.
3. The device maintenance processing method according to claim 1, wherein the obtaining of the maintenance request for the target device, and the obtaining of the user data and the failure data associated with the target device according to the maintenance request further comprises:
receiving a maintenance request for target equipment sent by a user side;
after user data and fault data associated with the target equipment are acquired according to the maintenance request, judging whether fault data exist in a preset fault database or not;
and if the judgment result is negative, adding the fault data into a preset fault database.
4. The device maintenance processing method according to claim 1, comprising, before obtaining at least one maintenance-side information from a database based on the fault data:
judging whether the maintenance request contains preset maintenance end information or not;
if so, sending the maintenance request to a maintenance end address corresponding to the preset maintenance end information;
and if not, acquiring at least one piece of maintenance end information from a database based on the fault data.
5. The device maintenance processing method according to claim 1, wherein performing matching degree analysis on each of the maintenance side information based on the user data to obtain a matching degree list corresponding to the user data includes the following steps:
acquiring device data, location data and service time based on the user data;
screening out a maintenance end information set which accords with a preset range based on the equipment data, the position data and the service time;
acquiring historical response time, service range, service duration and service evaluation data of each maintenance end in the maintenance end information set;
scoring each maintenance terminal based on the historical response time, the service range, the service duration and the service evaluation data to obtain a scoring result;
and sorting based on the grading result to obtain a matching degree list.
6. The device maintenance processing method according to claim 5, further comprising, after sending the maintenance request to the target maintenance end, the following:
after receiving a maintenance completion signal sent by a user side, receiving feedback evaluation data sent by the user side;
and updating the service evaluation data of the target maintenance terminal based on the feedback evaluation data.
7. The device maintenance processing method according to claim 6, wherein updating the service evaluation data of the target maintenance end based on the feedback evaluation data comprises:
cleaning and classifying the feedback evaluation data;
acquiring historical service evaluation data, and calculating to acquire new service evaluation data based on the historical service evaluation data and the cleaned and classified feedback evaluation data;
and replacing the historical service evaluation data with the new service evaluation to obtain updated service evaluation data.
8. An apparatus maintenance processing device, comprising:
the acquisition module is used for receiving a maintenance request and acquiring user data and fault data according to the maintenance request;
the matching module is used for acquiring at least one piece of maintenance end information from a database based on the fault data;
the analysis module is used for carrying out matching degree analysis on the information of each maintenance terminal based on the user data to obtain a matching degree list corresponding to the user data;
and the execution module is used for acquiring the maintenance terminal information with the highest matching degree from the matching degree list as a target maintenance terminal and sending the maintenance request to the target maintenance terminal.
9. A computer system comprising a plurality of computer devices, each computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processors of the plurality of computer devices when executing the computer program collectively implement the steps of the device maintenance processing method of any one of claims 1 to 7.
10. A computer-readable storage medium comprising a plurality of storage media, each storage medium having a computer program stored thereon, wherein the computer programs stored in the storage media, when executed by a processor, collectively implement the steps of the apparatus maintenance processing method according to any one of claims 1 to 7.
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