CN115760068A - Electromechanical equipment maintenance method and system for rail vehicle - Google Patents
Electromechanical equipment maintenance method and system for rail vehicle Download PDFInfo
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Abstract
The application discloses a method and a system for maintaining electromechanical equipment of a rail vehicle, wherein the method comprises the following steps: determining the fault type information of the fault according to the fault information fed back by the receiving front end; calling historical maintenance record information of each maintenance person to be selected according to the maintenance person information to be selected for executing the fault type information; comparing and matching the fault type information of the fault maintenance task with the historical maintenance information of each to-be-selected maintenance worker, and obtaining a matching result; and selecting the maintainers for executing the maintenance task from the maintainers to be selected based on the matching result. Allocating maintainers familiar with maintaining the fault according to the type of the fault, solving the fault at the highest speed, and improving the efficiency of fault treatment; meanwhile, the maintainers can also find hidden connected faults of the electromechanical equipment according to historical maintenance experiences, perfect maintenance is provided for the electromechanical equipment at the rail transit, and the probability of risk occurrence is reduced.
Description
Technical Field
The application relates to the field of electromechanical equipment, in particular to a method and a system for maintaining electromechanical equipment of a rail vehicle.
Background
In order to facilitate travel, rail transit equipment is increasingly constructed, and in order to guarantee safe operation of the rail transit equipment, electromechanical equipment related to the rail transit equipment needs to be overhauled at irregular time.
When the electromechanical equipment is in fault and needs to be repaired, the maintenance personnel are often scheduled according to the idle time of the maintenance personnel.
With respect to the related art in the above, the inventors consider that there is a drawback that the allocation of the maintenance task is not reasonable.
Disclosure of Invention
In order to improve the overhauling efficiency, the application provides an electromechanical equipment maintenance method and system of a rail vehicle.
In a first aspect, the present application provides a method for maintaining electromechanical devices of a rail vehicle, which adopts the following technical scheme:
a rail vehicle electromechanical equipment maintenance method comprising the steps of:
determining the fault type information of the fault according to the fault information fed back by the receiving front end;
calling historical maintenance record information of each to-be-selected maintenance worker according to the to-be-selected maintenance worker information executing the fault type information;
comparing and matching the fault type information of the fault maintenance task with the historical maintenance information of each to-be-selected maintenance worker, and obtaining a matching result;
and selecting the maintainers who execute the overhauling task from the to-be-selected maintainers based on the matching result.
By adopting the technical scheme, the object needing to be overhauled at this time is determined according to the fault overhauling requirement sent by the front end, the overhauling personnel matched with the fault type at this time is selected from the historical overhauling cases according to the equipment fault type, the overhauling personnel familiar with maintaining the fault are distributed according to the fault type, the overhauling personnel familiar with the fault can rapidly solve the fault by means of overhauling experience, the normal operation of the electromechanical equipment is recovered, and the fault processing efficiency is improved; meanwhile, the maintainers can also find hidden connected faults of the electromechanical equipment according to historical maintenance experiences, perfect maintenance is provided for the electromechanical equipment at the rail transit, and the probability of risk occurrence is reduced.
Optionally, the step of selecting a maintainer who executes the maintenance task from the maintainers to be selected based on the matching result includes:
forming task grade information based on the task emergency degree;
sequentially dividing a plurality of ability trust value intervals according to the task grade information;
obtaining an ability trust value according to the overhaul location information, the overhaul difficulty information, the overhaul duration and the overhaul completion degree in the screened historical overhaul information;
and selecting the maintainers executing the overhauling task from the to-be-selected maintainers based on the quantity of the ability trust values falling in each ability trust value interval.
By adopting the technical scheme, when the maintenance terminal receives a task, the grades of the task are generally divided according to the received condition, different task grades correspond to different numerical value intervals, after a historical maintenance information record with higher similarity is screened out, specific maintenance personnel are determined according to the historical maintenance information, meanwhile, maintenance site information, maintenance difficulty information, maintenance duration and maintenance completion degree of the maintenance personnel are obtained from the historical maintenance information, namely the two-site distance, the maintenance difficulty and the maintenance cost duration and completion condition during each maintenance, the ability trust value of the maintenance personnel during the task execution is obtained according to the maintenance site information, the maintenance difficulty information, the maintenance duration and the maintenance completion degree, the obtained ability trust value is compared with the ability value range to obtain the range in which the ability trust value falls, and then the maintenance personnel most suitable for the task are selected by calculating the number of the ability trust values falling in each interval, so that the maintenance personnel are reasonably distributed. By means of system distribution, distribution accuracy and efficiency can be improved.
Optionally, the step of obtaining the capability trust value according to the overhaul location information, the overhaul difficulty information, the overhaul elapsed time and the overhaul completion degree in the screened historical overhaul information comprises the steps of:
establishing a capability trust value calculation model according to the overhaul site information, the overhaul difficulty information, the overhaul elapsed time and the overhaul completion degree; the capacity trust value calculation model comprises a maintenance site information weight, a maintenance difficulty information weight, a maintenance experience weight and a maintenance completion weight;
and calculating and summing the weighted values of the overhaul site information, the overhaul difficulty information, the overhaul elapsed time and the overhaul completion degree to obtain the capacity trust value.
By adopting the technical scheme, the corresponding weight is distributed to each parameter, the proportion of the weights represents that for the maintenance, the concerned key should be put on the site or the maintenance difficulty or the duration spent on the maintenance or the maintenance completion degree, for example, an electromechanical maintenance project needs the maintenance personnel to have high completion degree and high completion rate, so the maintenance personnel with long maintenance duration and higher maintenance completion degree can be selected. Through the reasonable distribution mode, the maintainers which are most matched with the maintenance task can be well arranged, and the accuracy of the maintainers in distribution is improved.
Optionally, the overhaul finish degree is calculated by the following method:
acquiring operation step information, part damage information and part replacement information in the maintenance process;
and calculating weighting and summing according to the preset weights of the operation step information, the part damage information and the part replacement information to obtain the overhaul completion degree.
By adopting the technical scheme, the operation steps of the maintenance process or the damaged parts in the operation process are replaced or maintained, and the maintenance completion condition of the maintenance personnel can be influenced, so that the completion condition of the maintenance personnel can be obtained by calculating the parameters, and more data is further provided for judging the maintenance capability of the maintenance personnel.
Optionally, the method further includes:
and acquiring overhaul data after each overhaul of the maintainers is completed and inputting the data into the capability trust calculation model.
By adopting the technical scheme, the maintenance of the maintainers is continuously changed along with the enrichment of time and experience, so that the model base data is enriched by continuously putting new maintenance cases of the maintainers into the system and regenerating models of each maintainer, more comprehensive data can be provided for the matching of the data, the accuracy of personnel distribution is improved, and the maintenance efficiency is improved.
In a second aspect, the present application provides a maintenance system for electromechanical devices of a rail vehicle, which adopts the following technical solution:
an electromechanical equipment maintenance system for a rail vehicle, the system comprising:
the front-end information receiving module is used for determining the fault type information of the fault according to the fault information fed back by the receiving front end;
the historical information calling module is used for calling the historical maintenance record information of each maintainer to be selected according to the information of the maintainer to be selected executing the fault type information;
the information matching module is used for comparing and matching the fault type information of the fault maintenance task with the historical maintenance information of each to-be-selected maintenance worker and obtaining a matching result;
and the personnel selection module is used for selecting the maintainers for executing the overhauling task from the maintainers to be selected based on the matching result.
By adopting the technical scheme, the object needing to be overhauled at this time is determined according to the fault overhauling requirement sent by the front end, the overhauling personnel matched with the fault type at this time is selected from the historical overhauling cases according to the equipment fault type, the overhauling personnel familiar with maintaining the fault are distributed according to the fault type, the fault is solved at the fastest speed, and the fault processing efficiency is improved; meanwhile, the maintainers can also find hidden connected faults of the electromechanical equipment according to historical maintenance experiences, perfect maintenance is provided for the electromechanical equipment at the rail transit, and the probability of risk occurrence is reduced.
Optionally, the system further comprises: the capability interval calculation module is used for forming task grade information based on the task emergency degree; sequentially dividing a plurality of capacity trust value intervals according to the task grade information; obtaining an ability trust value according to the maintenance place information, the maintenance difficulty information, the maintenance duration and the maintenance completion degree in the screened historical maintenance information; and selecting the maintainers executing the overhauling task from the to-be-selected maintainers based on the quantity of the ability trust values falling in each ability trust value interval.
By adopting the technical scheme, when the maintenance terminal receives a task, the grades of the task are generally divided according to the received condition, different task grades correspond to different numerical value intervals, after a historical maintenance information record with higher similarity is screened out, specific maintenance personnel are determined according to the historical maintenance information, meanwhile, maintenance site information, maintenance difficulty information, maintenance duration and maintenance completion degree of the maintenance personnel are obtained from the historical maintenance information, namely the two-site distance, the maintenance difficulty and the maintenance cost duration and completion condition during each maintenance, the ability trust value of the maintenance personnel during the task execution is obtained according to the maintenance site information, the maintenance difficulty information, the maintenance duration and the maintenance completion degree, the obtained ability trust value is compared with the ability value range to obtain the range in which the ability trust value falls, and then the maintenance personnel most suitable for the task are selected by calculating the number of the ability trust values falling in each interval, so that the maintenance personnel are reasonably distributed. By means of system allocation, the allocation accuracy and efficiency can be improved.
In a third aspect, the present application provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the electromechanical device maintenance method for a rail vehicle according to any one of the first aspect when executing the computer program.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program capable of being loaded by a processor and executing the first aspect.
In summary, the present application has the following beneficial effects:
determining an object to be overhauled at this time according to the fault overhauling requirement sent by the front end, selecting an overhauling person matched with the fault type at this time from the historical overhauling case according to the equipment fault type, and distributing the overhauling person familiar with maintaining the fault according to the fault type, so that the fault is solved at the highest speed, and the fault processing efficiency is improved; meanwhile, the maintainers can also find hidden connected faults of the electromechanical equipment according to historical maintenance experiences, perfect maintenance is provided for the electromechanical equipment at the rail transit, and the probability of risk occurrence is reduced.
Drawings
FIG. 1 is a flow chart of a method for maintaining electromechanical equipment of a rail vehicle according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a computer device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-2.
The embodiment of the application discloses a maintenance method of electromechanical equipment of a rail vehicle, and the method comprises the following steps:
s100: and determining the fault type information of the fault according to the fault information fed back by the receiving front end.
In this embodiment, the front-end feedback refers to an information input end at the electromechanical device that needs to be maintained; the fault type information refers to the fault classification to which the electromechanical device requiring maintenance belongs.
Specifically, maintenance personnel at the front end uploads electromechanical fault information, the system receives the information uploaded by the front end and compares the received fault information with fault types stored in the system in a classified manner, the electromechanical fault types are roughly divided into mechanical faults, electrical faults, pneumatic faults and control faults, the fault types are further refined, and the fault types can be further refined into poor processing and poor assembly of parts and elements. If the part processing does not meet the requirements, the burrs of the part are not removed in time and the installation is not clean. The faults can be further refined into design errors, installation unqualified, poor maintenance and management, sudden fracture of connecting pieces and the like, and the fault classification is carried out according to uploaded keywords, so that the processing efficiency can be improved.
S200: and calling historical maintenance record information of each maintenance person to be selected according to the maintenance person information to be selected executing the fault type information.
In this embodiment, the historical repair record information refers to past repair cases of each maintainer, where the repair cases include departure locations, repair destinations, repair objects, types of failures of the overhauls, operation steps of the overhauls, overhaul duration, completion conditions, and the like of the maintainers.
Specifically, after a specific fault type is obtained, a list to be selected of corresponding maintainers to be selected is obtained according to the fault type, and historical overhaul record information of the maintainers on the list is called in the system according to the list so as to obtain historical overhaul records related to the maintainers to be selected.
S300: and comparing and matching the fault type information of the fault maintenance task with the historical maintenance information of each to-be-selected maintenance worker, and obtaining a matching result.
In this embodiment, matching refers to comparing the current overhaul task with the historical overhaul records, and when information is compared, the similarity between the overhaul task executed this time and the historical overhaul information of the overhaul personnel to be selected may be calculated by using a text similarity calculation method based on semantic understanding, a random inner product space, a cosine vector metric text retrieval model based on cloud computing, an information retrieval-vector space model, and the like, in this embodiment, an index item (the index item is classified according to a fault type) is first established for the record information, for example, for text retrieval with n index items, a query q and a text dj may be represented by a space vector formed by the n index items, and then the query q may be represented as: q = (t) 1 q,t 2 q,t 3 q,…,t n q), the text dj may be represented as: dj =(s) 1 j,s 2 j,s 3 j,…,s n j) Wherein t is k q、s k j (1. Ltoreq. K. Ltoreq. N) represents the kth index entry of the query q and the text dj, respectively. In other embodiments, according to the information retrieval mode, by establishing a keyword phrase, taking each keyword phrase as a comparison unit, performing similarity comparison between the received information and the keyword phrase to obtain similarity, where the more the keyword phrase overlap ratio is, the higher the similarity is.
Specifically, a similarity comparison mode is adopted, after the overhaul task information and the historical overhaul record information are obtained, the two parts of information are compared, and the keyword group combination larger than the similarity threshold value is screened out.
S400: and selecting the maintainers for executing the maintenance task from the maintainers to be selected based on the matching result.
In this embodiment, there are a plurality of the inspection personnel to be selected, but one or two inspection personnel are performing the task, and the inspection personnel adapted to the task are matched from the selectable inspection personnel through the issued flight task.
Specifically, the maintainers with the closest suitability are matched in a system matching mode to determine the maintainers flying at the time.
Further, in an embodiment, S400 includes: forming task grade information based on the task emergency degree; sequentially dividing a plurality of ability trust value intervals according to the task grade information; obtaining an ability trust value according to the overhaul location information, the overhaul difficulty information, the overhaul duration and the overhaul completion degree in the screened historical overhaul information; and selecting the maintainers executing the overhauling task from the to-be-selected maintainers based on the quantity of the ability trust values falling in each ability trust value interval.
In this embodiment, the task level information refers to a task urgency level included in the task notification when the system terminal receives the task notification; the ability trust value refers to weighted sum of inspection location information, inspection difficulty information, inspection duration and inspection completion degree (namely work success of the inspection personnel), and the ability trust value interval refers to interval range of corresponding technical grade division, wherein in the embodiment, four intervals are taken as an example and are respectively A, B, C, D, the interval corresponding to A is 100-85, the interval corresponding to B is 85-70, the interval corresponding to C is 70-55, and the interval corresponding to D is 55-0; when the score falls on the endpoint, the partition is automatically into the high inter-partition range.
The overhaul duration refers to the time required for completing the maintenance, the overhaul completion degree refers to the completion degree of the overhaul task, an ability trust value model is established according to the overhaul location information, the overhaul difficulty information, the overhaul duration and the overhaul completion degree to calculate the ability trust value of an overhaul worker, wherein the weights of the overhaul location information, the overhaul difficulty information, the overhaul duration and the overhaul completion degree are respectively 10%, 30%, 20% and 40%, and the larger the calculated ability trust value is, the stronger the overhaul ability of the overhaul worker is.
The overhaul finish degree is calculated by the following method: acquiring operation step information, part damage information and part replacement information in the maintenance process; and calculating weighting and summing according to the preset weights of the operation step information, the part damage information and the part replacement information to obtain the overhaul completion degree.
In this embodiment, the operation step information refers to the maintenance process actions of the maintenance personnel in the maintenance process; the part damage information refers to that other parts are damaged in the overhauling process; the part replacement information is information indicating a part to be replaced when a damaged part is repaired. The preset weights of the operation step information, the part damage information and the part replacement information are respectively as follows: 40%, 30% and 30%, and calculating the weighted sum of the operation step information, the part damage information and the part replacement information to obtain the overhaul completion degree. For example, when the overhaul fault is a fault problem that the motor clearance is too large, the number 1 of the overhaul personnel counts 700 steps (the average step is 500), and the operation step score is 60 minutes (100 minutes is full, and 10 minutes is deducted every 50 steps); the damage information of the parts is divided into 90 points (the larger the numerical value is, the fewer the number of the damaged other parts in the process is proved); the part replacement information score is 80 points (part replacement is to score the number of replaced parts and the importance degree of the parts through two dimensions, if the problem is solved by replacing the main parts, the score is below 60 points, the importance degree is established according to practice, and the replacement number is reduced by 5 points on the basis of the part replacement score every time the replacement number is increased by 1 point), so that the overhaul completion degree of the overhaul personnel in the process of carrying out the overhaul task at this time is 75 points.
When the overhauling fault of the overhauling person No. 1 is the problem of motor performance deterioration, the overhauling place information is divided into 20 points (the more convenient the overhauling place information is calculated according to the convenience of reaching the destination, the higher the point is), and the overhauling difficulty information is divided into 80 points (the overhauling difficulty grade is divided, the higher the difficulty grade is, the higher the point is, the total five grades are divided, and each grade is 20 grades); the length of time spent in the overhaul is scored as 90 minutes (the shorter the time spent, the higher the score), which can be determined by forming a timer in the system; then the ability trust value for the service person number 1 to perform this service task is divided into 74 points.
Specifically, when the maintenance request information is sent to the system, the system receives the request, and correspondingly obtains the task emergency degree and information related to the task, which are carried in the request, wherein the task emergency degree includes a task place, main work and the like, and corresponding intervals are divided according to the task emergency degree so as to correspond to different intervals according to the task emergency degree.
After the overhaul work is completed by the overhaul personnel each time, records related to the overhaul content are formed and storage files are formed in the system, and data after each overhaul are used as original data of the ability trust model and are used for enriching the calculation data of each overhaul personnel. The method comprises the steps of calling historical maintenance record information corresponding to maintenance personnel through a command, calling corresponding maintenance place information, maintenance difficulty information, maintenance duration and maintenance completion degree from the historical maintenance record information after the historical maintenance record information is obtained, calculating a weighted sum formula through a calculation model, and obtaining an ability trust value through a system automatic calculation mode. And controlling counting software such as a counter to count the range of the capacity value of each overhaul falling in each interval in an instruction mode to obtain corresponding distribution of the capacity trust value, and sequencing according to the sequencing mode that the number of selected overhauls falling in the interval A is the most optimal to obtain the sequencing of the overhauls to be selected.
In other embodiments, the ability trust value can be recalculated by adding the ability requirement for the maintainers, which is improved by the front-end information entry.
The embodiment of the present application further discloses a rail vehicle's electromechanical device maintenance system, and this system includes: the system comprises a front-end information receiving module, a historical information calling module, an information matching module and a personnel selection module, wherein the front-end information receiving module is used for determining the fault type information of the fault according to the fault information fed back by the receiving front end; the historical information calling module is used for calling historical maintenance record information of each maintainer to be selected according to the information of the maintainer to be selected executing the fault type information; the information matching module is used for comparing and matching the fault type information of the fault maintenance task with the historical maintenance information of each to-be-selected maintenance worker and obtaining a matching result; and the personnel selection module is used for selecting the maintainers for executing the overhauling task from the to-be-selected maintainers based on the matching result.
Further, the system also comprises a capability interval calculation module, wherein the capability interval calculation module is used for forming task grade information based on the task emergency degree; sequentially dividing a plurality of capacity trust value intervals according to the task grade information; obtaining an ability trust value according to the maintenance place information, the maintenance difficulty information, the maintenance duration and the maintenance completion degree in the screened historical maintenance information; and selecting the maintainers executing the overhauling task from the to-be-selected maintainers based on the quantity of the ability trust values falling in each ability trust value interval.
Furthermore, the system also comprises a capability trust value calculation module, wherein the capability trust value calculation module is used for establishing a capability trust value calculation model according to the overhaul location information, the overhaul difficulty information, the overhaul elapsed time and the overhaul completion degree; the capacity trust value calculation model comprises a maintenance site information weight, a maintenance difficulty information weight, a maintenance experience weight and a maintenance completion weight; and calculating and summing the weighted values of the overhaul site information, the overhaul difficulty information, the overhaul elapsed time and the overhaul completion degree to obtain the capacity trust value.
Furthermore, the capability trust value calculation module comprises an overhaul completion degree submodule, wherein the overhaul completion degree submodule is used for acquiring operation step information, part damage information and part replacement information in an overhaul process; and calculating weighting and summing according to the preset weights of the operation step information, the part damage information and the part replacement information to obtain the overhaul completion degree.
Further, the system also comprises a data import module, wherein the data import module is used for acquiring the overhaul data after the overhaul of the overhaul personnel is completed each time and inputting the data into the capability trust calculation model.
The embodiment of the application also discloses a computer device, which can be a server, with reference to fig. 2. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a rail vehicle electromechanical device servicing method, the method comprising the steps of:
s100: determining the fault type information of the fault according to the fault information fed back by the receiving front end;
s200: calling historical maintenance record information of each maintenance person to be selected according to the maintenance person information to be selected for executing the fault type information;
s300: comparing and matching the fault type information of the fault maintenance task with the historical maintenance information of each to-be-selected maintenance worker, and obtaining a matching result;
s400: and selecting the maintainers for executing the maintenance task from the maintainers to be selected based on the matching result.
The embodiment of the application also discloses a computer readable storage medium. In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
s100: determining the fault type information of the fault according to the fault information fed back by the receiving front end;
s200: calling historical maintenance record information of each maintenance person to be selected according to the maintenance person information to be selected for executing the fault type information;
s300: comparing and matching the fault type information of the fault maintenance task with the historical maintenance information of each to-be-selected maintenance worker, and obtaining a matching result;
s400: and selecting the maintainers for executing the maintenance task from the maintainers to be selected based on the matching result.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware that is instructed by a computer program, and the computer program may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein.
Claims (10)
1. A rail vehicle electromechanical device maintenance method, comprising the steps of:
determining the fault type information of the fault according to the fault information fed back by the receiving front end;
calling historical maintenance record information of each to-be-selected maintenance worker according to the to-be-selected maintenance worker information executing the fault type information;
comparing and matching the fault type information of the fault maintenance task with the historical maintenance information of each to-be-selected maintenance worker, and obtaining a matching result;
and selecting the maintainers for executing the maintenance task from the maintainers to be selected based on the matching result.
2. The electromechanical device maintenance method for the rail vehicle according to claim 1, wherein the step of selecting a service person for performing the service task from the service persons to be selected based on the matching result comprises:
forming task grade information based on the task emergency degree;
sequentially dividing a plurality of capacity trust value intervals according to the task grade information;
obtaining an ability trust value according to the maintenance place information, the maintenance difficulty information, the maintenance duration and the maintenance completion degree in the screened historical maintenance information;
and selecting the maintainers executing the overhauling task from the to-be-selected maintainers based on the quantity of the ability trust values falling in each ability trust value interval.
3. The rail vehicle electromechanical device maintenance method according to claim 2, wherein the step of obtaining the capability trust value according to the maintenance location information, the maintenance difficulty information, the maintenance elapsed time and the maintenance completion degree in the screened historical maintenance information comprises:
establishing a capability trust value calculation model according to the overhaul site information, the overhaul difficulty information, the overhaul elapsed time and the overhaul completion degree; the capability trust value calculation model comprises a maintenance place information weight, a maintenance difficulty information weight, a maintenance experience weight and a maintenance completion degree weight;
and calculating and summing the weighted values of the overhaul site information, the overhaul difficulty information, the overhaul elapsed time and the overhaul completion degree to obtain the capacity trust value.
4. The rail vehicle electromechanical device maintenance method according to claim 3, wherein the overhaul finish is calculated by:
acquiring operation step information, part damage information and part replacement information in the maintenance process;
and calculating weighting and summing according to the preset weights of the operation step information, the part damage information and the part replacement information to obtain the overhaul completion degree.
5. The rail vehicle electromechanical device maintenance method of claim 4, further comprising:
and acquiring overhaul data after each overhaul of the maintainers is completed and inputting the data into the capability trust calculation model.
6. An electromechanical equipment maintenance system for a rail vehicle, the system comprising:
the front-end information receiving module is used for determining the fault type information of the fault according to the fault information fed back by the receiving front end;
the historical information calling module is used for calling the historical maintenance record information of each maintainer to be selected according to the information of the maintainer to be selected executing the fault type information;
the information matching module is used for comparing and matching the fault type information of the fault maintenance task with the historical maintenance information of each to-be-selected maintenance worker and obtaining a matching result;
and the personnel selection module is used for selecting the maintainers for executing the overhauling task from the maintainers to be selected based on the matching result.
7. The rail vehicle electromechanical device maintenance system of claim 6, further comprising: the capability interval calculation module is used for forming task grade information based on the task emergency degree; sequentially dividing a plurality of capacity trust value intervals according to the task grade information; obtaining an ability trust value according to the overhaul location information, the overhaul difficulty information, the overhaul duration and the overhaul completion degree in the screened historical overhaul information; and selecting the maintainers executing the overhauling task from the to-be-selected maintainers based on the quantity of the ability trust values falling in each ability trust value interval.
8. The rail vehicle electromechanical device maintenance system of claim 7, further comprising: the system comprises an ability trust value calculation module, a capacity trust value calculation module and a maintenance completion module, wherein the ability trust value calculation module is used for establishing an ability trust value calculation model according to maintenance location information, maintenance difficulty information, maintenance elapsed time and maintenance completion degree; the capacity trust value calculation model comprises a maintenance site information weight, a maintenance difficulty information weight, a maintenance experience weight and a maintenance completion weight; and calculating and summing the weighted values of the overhaul site information, the overhaul difficulty information, the overhaul elapsed time and the overhaul completion degree to obtain the capacity trust value.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of a method for electromechanical device maintenance of a rail vehicle according to any of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method according to any of claims 1-5.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116483041A (en) * | 2023-05-05 | 2023-07-25 | 广州特纳信息科技有限公司 | Intelligent control system based on Internet of things and big data analysis |
| CN117034195A (en) * | 2023-08-11 | 2023-11-10 | 中核检修有限公司 | Nuclear power instrument overhaul scheduling method and device, storage medium and computer equipment |
| CN117875567A (en) * | 2024-03-07 | 2024-04-12 | 湖南鸿盛邦科技有限公司 | Management system for production line |
-
2022
- 2022-11-25 CN CN202211497947.9A patent/CN115760068A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116483041A (en) * | 2023-05-05 | 2023-07-25 | 广州特纳信息科技有限公司 | Intelligent control system based on Internet of things and big data analysis |
| CN117034195A (en) * | 2023-08-11 | 2023-11-10 | 中核检修有限公司 | Nuclear power instrument overhaul scheduling method and device, storage medium and computer equipment |
| CN117034195B (en) * | 2023-08-11 | 2024-02-27 | 中核检修有限公司 | Nuclear power instrument overhaul scheduling method and device, storage medium and computer equipment |
| CN117875567A (en) * | 2024-03-07 | 2024-04-12 | 湖南鸿盛邦科技有限公司 | Management system for production line |
| CN117875567B (en) * | 2024-03-07 | 2024-05-28 | 湖南鸿盛邦科技有限公司 | Management system for production line |
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