CN117744957A - Nuclear power maintenance data processing method and device - Google Patents
Nuclear power maintenance data processing method and device Download PDFInfo
- Publication number
- CN117744957A CN117744957A CN202211102701.7A CN202211102701A CN117744957A CN 117744957 A CN117744957 A CN 117744957A CN 202211102701 A CN202211102701 A CN 202211102701A CN 117744957 A CN117744957 A CN 117744957A
- Authority
- CN
- China
- Prior art keywords
- work order
- person
- duration
- maintenance
- time length
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 92
- 238000003672 processing method Methods 0.000 title abstract description 10
- 238000012545 processing Methods 0.000 claims description 32
- 238000000034 method Methods 0.000 claims description 31
- 238000003860 storage Methods 0.000 claims description 19
- 230000008439 repair process Effects 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 9
- 238000013439 planning Methods 0.000 claims description 6
- 238000013468 resource allocation Methods 0.000 abstract description 9
- 230000008901 benefit Effects 0.000 abstract description 6
- 230000008859 change Effects 0.000 abstract description 5
- 238000009826 distribution Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 14
- 238000004891 communication Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- 238000003491 array Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 230000001133 acceleration Effects 0.000 description 2
- 230000000712 assembly Effects 0.000 description 2
- 238000000429 assembly Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000001902 propagating effect Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The disclosure belongs to the technical field of nuclear power, and particularly relates to a nuclear power maintenance data processing method and device. According to the nuclear power maintenance data processing method, the human resource demand information under different time windows and maintenance nodes is predicted, the optimal human resource allocation scheme is determined, the human resource allocation efficiency is improved, the overall maintenance quality is improved, the maintenance period is shortened, the maintenance cost is reduced, and the overall economic benefit of a unit is improved. Meanwhile, when the plan changes and the overhaul nodes change, the manpower distribution can be automatically adjusted, the manpower resource allocation efficiency is improved, the overall overhaul quality is improved, the overhaul period is shortened, the overhaul cost is reduced, and the overall economic benefit of the unit is improved.
Description
Technical Field
The invention belongs to the technical field of nuclear power, and particularly relates to a nuclear power maintenance data processing method and device.
Background
The nuclear power plant has a plurality of systems and large equipment type difference, and has different technical requirements for operators; meanwhile, during the overhaul of large equipment and the overhaul of unit material changing, simultaneous or alternate cooperative operation is required to be carried out across professions according to a certain sequential logic sequence, so that the overhaul quality and progress controllability can be ensured. This presents a very high challenge to the inspection plan window, human resource scheduling.
Disclosure of Invention
In order to overcome the problems in the related art, the nuclear power maintenance data processing method and device are provided.
According to an aspect of the disclosed embodiments, there is provided a nuclear power maintenance data processing method, including:
step 100, acquiring a plurality of worksheets of the same type of corresponding equipment, and determining a plurality of maintenance personnel maintaining the equipment of the type;
step 101, determining a single average time length of each maintainer in the plurality of maintainers, wherein the single average time length of the maintainers is used for representing the average time length of the maintainers for maintaining the type of equipment;
102, determining an overall average duration according to the single average duration of each maintenance person, wherein the overall average duration is used for representing the average duration of the maintenance persons for maintaining the type of equipment;
step 103, taking maintenance personnel with the number relation between the single average duration and the overall average duration meeting preset conditions as candidate personnel;
step 104, matching each candidate person with each work unit, including: for each candidate person and each work order, removing the single average time length of the candidate person from the time of the current moment to the time of the work order planning start, and adding the accumulated work order time length of the candidate person to form the estimated time length of the candidate person corresponding to the work order;
step 105, regarding each work order, taking the candidate person with the smallest estimated time length as the executive person of the work order, and accumulating the estimated time length of the candidate person into the accumulated work order time length of the candidate person.
In one possible implementation, in step 101, a single average length of time for each serviceman is determined according to equation one;
wherein m is the sequence number of the maintenance personnel among a plurality of maintenance personnel, T i m For the single average time length of the maintenance personnel m for maintaining the i-type equipment, V is the number of times of the maintenance personnel m for maintaining the i-type equipment, T v And (5) maintaining the duration of the i-type equipment for the mth V time of the maintenance personnel, wherein V belongs to V.
In one possible implementation, in step 102, the ensemble-average duration is determined according to equation two;
wherein T is i For the overall average duration, M is the number of a plurality of maintenance personnel who maintain the i type equipment, and M is M, Q m For the weight coefficient of maintenance personnel m, the same symbol meaning as in the above formula is the same as in formula II.
In one possible implementation, Q is determined according to equation three m ；
Wherein,the authorized time length is obtained for the maintenance personnel m at the current time, S m Recording score, k for maintenance personnel m quality safety 1 Is->Weighting coefficient, k 2 Is S m The weighting coefficients of formula three have the same meaning as those of the above formula.
In one possible implementation, the method further includes:
step 106, determining the window duration of each work order according to the current time, the work order plan completion time and the ensemble average duration for each work order in the plurality of work orders;
step 107, in the order of the window duration from small to large, step 104 is adopted to match each work order with each candidate person one by one.
In one possible implementation, in step 106, a window duration of the work order is determined according to equation four;
wherein T is y For the window duration of the work order y,time of completion of work order y plan, T now P is the current time y For the priority weight of the work order y, the symbol meaning of the formula four is the same as the symbol meaning of the formula.
In one possible implementation, P is determined according to equation five y ；
P y ＝K 1 M y +K 2 C y +K 3 N y Five kinds of
Wherein the work order y belongs to the main line M y 1, work order y does not belong to main line M y 0, work order y belongs to critical path C y 1, work order y does not belong to critical path C y 0, work order y belongs to milestone N y 1, work order y does not belong to milestone N y Is 0, K 1 、K 2 、K 3 As the weight coefficient, the same symbol meaning as the above formula is given to formula five.
According to another aspect of the embodiments of the present disclosure, there is provided a nuclear power maintenance data processing apparatus, the method including:
the first determining module is used for acquiring a plurality of worksheets of the same type of corresponding equipment and determining a plurality of maintenance personnel maintaining the equipment of the type;
the second determining module is used for determining the single-person average duration of each maintenance person in the plurality of maintenance persons, and the single-person average duration of the maintenance persons is used for representing the average duration of the maintenance persons for maintaining the type of equipment;
the third determining module is used for determining an overall average duration according to the single average duration of each maintenance person, wherein the overall average duration is used for representing the average duration of the maintenance persons for maintaining the type of equipment;
a fourth determining module, configured to take a maintenance person whose number relationship between the single average duration and the overall average duration meets a preset condition as an alternative person;
a fifth determining module, configured to match each candidate person with each work unit, including: for each candidate person and each work order, removing the single average time length of the candidate person from the time of the current moment to the time of the work order planning start, and adding the accumulated work order time length of the candidate person to form the estimated time length of the candidate person corresponding to the work order;
the sixth determining module is configured to, for each work order, use a candidate person with the smallest estimated duration as an executive person of the work order, and accumulate the estimated duration of the candidate person into the accumulated work order duration of the candidate person.
According to another aspect of the disclosed embodiments, there is provided a nuclear power repair data processing apparatus, the apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the above-described method.
According to another aspect of the disclosed embodiments, there is provided a non-transitory computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.
The beneficial effects of the present disclosure are: according to the nuclear power maintenance data processing method, the human resource demand information under different time windows and maintenance nodes is predicted, the optimal human resource allocation scheme is determined, the human resource allocation efficiency is improved, the overall maintenance quality is improved, the maintenance period is shortened, the maintenance cost is reduced, and the overall economic benefit of a unit is improved. Meanwhile, when the plan changes and the overhaul nodes change, the manpower distribution can be automatically adjusted, the manpower resource allocation efficiency is improved, the overall overhaul quality is improved, the overhaul period is shortened, the overhaul cost is reduced, and the overall economic benefit of the unit is improved.
Drawings
FIG. 1 is a flowchart illustrating a method of nuclear power repair data processing according to an example embodiment.
FIG. 2 is a block diagram illustrating a nuclear power repair data processing device according to an example embodiment.
FIG. 3 is a block diagram illustrating a nuclear power repair data processing device according to an example embodiment.
Detailed Description
The invention will be described in further detail with reference to the accompanying drawings and specific examples.
FIG. 1 is a flowchart illustrating a method of nuclear power repair data processing according to an example embodiment. The method may be performed by a terminal device, where the terminal device may be a server, a desktop computer, a notebook computer, a tablet computer, or the like, and the terminal device may also be, for example, a user device, a vehicle-mounted device, or a wearable device, or the like. As shown in fig. 1, the method includes:
the nuclear power maintenance data processing method comprises the following steps:
step 100, acquiring a plurality of worksheets of the same type of corresponding equipment, and determining a plurality of maintenance personnel maintaining the equipment of the type; for example, it may be determined from historical repair data for each repair person whether the repair person has repaired the type of equipment.
Step 101, determining a single average time length of each maintainer in the plurality of maintainers, wherein the single average time length of the maintainers is used for representing the average time length of the maintainers for maintaining the type of equipment.
For example, in step 101, an average length of time for each individual person of maintenance personnel may be determined according to equation one;
wherein m is the sequence number of the maintenance personnel among a plurality of maintenance personnel, T i m For the single average time length of the maintenance personnel m for maintaining the i-type equipment, V is the number of times of the maintenance personnel m for maintaining the i-type equipment, T v And (5) maintaining the duration of the i-type equipment for the mth V time of the maintenance personnel, wherein V belongs to V.
In one possible implementation, the weighted average time period or the median value of the maintenance personnel to maintain the type of equipment can also be used as the single average time period of the maintenance personnel.
Step 102, determining an overall average duration according to the single average duration of each maintenance person, wherein the overall average duration is used for representing the average duration of the maintenance persons for maintaining the type of equipment.
For example, the average or median time for a plurality of service personnel to service the type of equipment may be referred to as the overall average time.
For example, in step 102, the ensemble-averaged duration may be determined according to equation two;
wherein T is i For the overall average duration, M is the number of a plurality of maintenance personnel who maintain the i type equipment, and M is M, Q m For the weight coefficient of maintenance personnel m, the same symbol meaning as in the above formula is the same as in formula II.
In one possible implementation, Q may be determined according to equation three m ；
Wherein,the authorized time length is obtained for the maintenance personnel m at the current time, S m Recording score, k for maintenance personnel m quality safety 1 Is->Weighting coefficient, k 2 Is S m The weighting coefficients of formula three have the same meaning as those of the above formula.
In one possible implementation, the weight coefficient of the maintenance personnel may also be determined according to a honor record, cultural degree, etc. of the maintenance personnel, which is not limited by the present disclosure.
Step 103, taking maintenance personnel with the number relation between the single average duration and the overall average duration meeting preset conditions as candidate personnel;
for example, in step 103, a serviceman having a single average time length less than n times (e.g., 3 times) of the overall average time length may be used as an alternative person, or a serviceman having a difference between the single average time length and the overall average time length less than a preset threshold may be used as an alternative person, so that a person having a significantly unsatisfactory serviceability may be removed in advance. It should be noted that, different quantitative relationships may be selected according to the nature of the worksheet, and the specific form of the quantitative relationships is not limited in this disclosure.
Step 104, matching each candidate person with each work unit, including: for each candidate person and each work order, removing the single average time length of the candidate person from the time of the current moment to the time of the work order planning start, and adding the accumulated work order time length of the candidate person to form the estimated time length of the candidate person corresponding to the work order;
step 105, regarding each work order, taking the candidate person with the smallest estimated time length as the executive person of the work order, and accumulating the estimated time length of the candidate person into the accumulated work order time length of the candidate person.
According to the nuclear power maintenance data processing method, the human resource demand information under different time windows and maintenance nodes is predicted, the optimal human resource allocation scheme is determined, the human resource allocation efficiency is improved, the overall maintenance quality is improved, the maintenance period is shortened, the maintenance cost is reduced, and the overall economic benefit of a unit is improved. Meanwhile, when the plan changes and the overhaul nodes change, the manpower distribution can be automatically adjusted, the manpower resource allocation efficiency is improved, the overall overhaul quality is improved, the overhaul period is shortened, the overhaul cost is reduced, and the overall economic benefit of the unit is improved.
In one possible implementation, the method further includes:
step 106, determining the window duration of each work order according to the current time, the work order plan completion time and the ensemble average duration for each work order in the plurality of work orders;
for example, in step 106, the window duration of the work order is determined according to equation four;
wherein T is y For the window duration of the work order y,time of completion of work order y plan, T now P is the current time y For the priority weight of the work order y, the symbol meaning of the formula four is the same as the symbol meaning of the formula.
In one possible implementation, P may be determined according to equation five y ；
P y ＝K 1 M y +K 2 C y +K 3 N y Five kinds of
Wherein the work order y belongs to the main line M y 1, work order y does not belong to main line M y 0, work order y belongs to critical path C y 1, work order y does not belong to critical path C y 0, work order y belongs to milestone N y 1, work order y does not belong to milestone N y Is 0, K 1 、K 2 、K 3 As the weight coefficient, the same symbol meaning as the above formula is given to formula five.
Step 107, in the order of the window duration from small to large, step 104 is adopted to match each work order with each candidate person one by one.
By means of the steps 106 and 107, personnel can be matched in advance for work orders with urgent or important construction periods, and human resources can be automatically inclined to more urgent and important tasks.
In one possible implementation manner, a nuclear power maintenance data processing device is provided, and the method includes:
the first determining module is used for acquiring a plurality of worksheets of the same type of corresponding equipment and determining a plurality of maintenance personnel maintaining the equipment of the type;
the second determining module is used for determining the single-person average duration of each maintenance person in the plurality of maintenance persons, and the single-person average duration of the maintenance persons is used for representing the average duration of the maintenance persons for maintaining the type of equipment;
the third determining module is used for determining an overall average duration according to the single average duration of each maintenance person, wherein the overall average duration is used for representing the average duration of the maintenance persons for maintaining the type of equipment;
a fourth determining module, configured to take a maintenance person whose number relationship between the single average duration and the overall average duration meets a preset condition as an alternative person;
a fifth determining module, configured to match each candidate person with each work unit, including: for each candidate person and each work order, removing the single average time length of the candidate person from the time of the current moment to the time of the work order planning start, and adding the accumulated work order time length of the candidate person to form the estimated time length of the candidate person corresponding to the work order;
the sixth determining module is configured to, for each work order, use a candidate person with the smallest estimated duration as an executive person of the work order, and accumulate the estimated duration of the candidate person into the accumulated work order duration of the candidate person.
The description of the above apparatus is already described in detail in the description of the above method, and will not be repeated here.
FIG. 2 is a block diagram illustrating a nuclear power repair data processing device according to an example embodiment. For example, apparatus 800 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like.
Referring to fig. 2, apparatus 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, and a communication component 816.
The processing component 802 generally controls overall operation of the apparatus 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the apparatus described above. Further, the processing component 802 can include one or more modules that facilitate interactions between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the apparatus 800. Examples of such data include instructions for any application or device operating on device 800, contact data, phonebook data, messages, pictures, videos, and the like. The memory 804 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply component 806 provides power to the various components of the device 800. The power components 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 800.
The multimedia component 808 includes a screen between the device 800 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or sliding action, but also the duration and pressure associated with the touch or sliding operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. The front camera and/or the rear camera may receive external multimedia data when the apparatus 800 is in an operational mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 further includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 814 includes one or more sensors for providing status assessment of various aspects of the apparatus 800. For example, the sensor assembly 814 may detect an on/off state of the device 800, a relative positioning of the assemblies, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in position of the device 800 or one of the assemblies of the device 800, the presence or absence of user contact with the device 800, an orientation or acceleration/deceleration of the device 800, and a change in temperature of the device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communication between the apparatus 800 and other devices, either in a wired or wireless manner. The device 800 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 804 including computer program instructions executable by processor 820 of apparatus 800 to perform the above-described methods.
FIG. 3 is a block diagram illustrating a nuclear power repair data processing device according to an example embodiment. For example, the apparatus 1900 may be provided as a server. Referring to fig. 3, the apparatus 1900 includes a processing component 1922 that further includes one or more processors and memory resources represented by memory 1932 for storing instructions, such as application programs, that are executable by the processing component 1922. The application programs stored in memory 1932 may include one or more modules each corresponding to a set of instructions. Further, processing component 1922 is configured to execute instructions to perform the methods described above.
The apparatus 1900 may further include a power component 1926 configured to perform power management of the apparatus 1900, a wired or wireless network interface 1950 configured to connect the apparatus 1900 to a network, and an input/output (I/O) interface 1958. The device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 1932, including computer program instructions executable by processing component 1922 of apparatus 1900 to perform the above-described methods.
The present disclosure may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for performing the operations of the present disclosure can be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present disclosure are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information of computer readable program instructions, which can execute the computer readable program instructions.
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A method for processing nuclear power repair data, the method comprising:
step 100, acquiring a plurality of worksheets of the same type of corresponding equipment, and determining a plurality of maintenance personnel maintaining the equipment of the type;
step 101, determining a single average time length of each maintainer in the plurality of maintainers, wherein the single average time length of the maintainers is used for representing the average time length of the maintainers for maintaining the type of equipment;
102, determining an overall average duration according to the single average duration of each maintenance person, wherein the overall average duration is used for representing the average duration of the maintenance persons for maintaining the type of equipment;
step 103, taking maintenance personnel with the number relation between the single average duration and the overall average duration meeting preset conditions as candidate personnel;
step 104, matching each candidate person with each work unit, including: for each candidate person and each work order, removing the single average time length of the candidate person from the time of the current moment to the time of the work order planning start, and adding the accumulated work order time length of the candidate person to form the estimated time length of the candidate person corresponding to the work order;
step 105, regarding each work order, taking the candidate person with the smallest estimated time length as the executive person of the work order, and accumulating the estimated time length of the candidate person into the accumulated work order time length of the candidate person.
2. The method of claim 1, wherein in step 101, a single average length of time for each serviceman is determined according to equation one;
wherein m is the sequence number of the maintenance personnel among a plurality of maintenance personnel, T i m For the single average time length of the maintenance personnel m for maintaining the i-type equipment, V is the number of times of the maintenance personnel m for maintaining the i-type equipment, T v And (5) maintaining the duration of the i-type equipment for the mth V time of the maintenance personnel, wherein V belongs to V.
3. The method of claim 1, wherein in step 102, the ensemble-averaged duration is determined according to equation two;
wherein T is i For the overall average duration, M is the number of a plurality of maintenance personnel who maintain the i type equipment, and M is M, Q m For the weight coefficient of maintenance personnel m, the same symbol meaning as in the above formula is the same as in formula II.
4. A method according to claim 3, wherein Q is determined according to equation three m ；
Wherein,the authorized time length is obtained for the maintenance personnel m at the current time, S m Recording score, k for maintenance personnel m quality safety 1 Is->Weighting coefficient, k 2 Is S m The weighting coefficients of formula three have the same meaning as those of the above formula.
5. The method according to claim 1, wherein the method further comprises:
step 106, determining the window duration of each work order according to the current time, the work order plan completion time and the ensemble average duration for each work order in the plurality of work orders;
step 107, in the order of the window duration from small to large, step 104 is adopted to match each work order with each candidate person one by one.
6. The method of claim 5, wherein in step 106, a window duration of the work order is determined according to equation four;
wherein T is y For window duration of work order y, T o y ver Time of completion of work order y plan, T now P is the current time y For the priority weight of the work order y, the symbol meaning of the formula four is the same as the symbol meaning of the formula.
7. The method of claim 6, wherein P is determined according to equation five y ；
P y ＝K 1 M y +K 2 C y +K 3 N y Five kinds of
Wherein the work order y belongs to the main line M y 1, work order y does not belong to main line M y 0, work order y belongs to critical path C y 1, work order y does not belong to critical path C y 0, work order y belongs to milestone N y 1, work order y does not belong to milestone N y Is 0, K 1 、K 2 、K 3 As the weight coefficient, the same symbol meaning as the above formula is given to formula five.
8. A nuclear power repair data processing apparatus, the method comprising:
the first determining module is used for acquiring a plurality of worksheets of the same type of corresponding equipment and determining a plurality of maintenance personnel maintaining the equipment of the type;
the second determining module is used for determining the single-person average duration of each maintenance person in the plurality of maintenance persons, and the single-person average duration of the maintenance persons is used for representing the average duration of the maintenance persons for maintaining the type of equipment;
the third determining module is used for determining an overall average duration according to the single average duration of each maintenance person, wherein the overall average duration is used for representing the average duration of the maintenance persons for maintaining the type of equipment;
a fourth determining module, configured to take a maintenance person whose number relationship between the single average duration and the overall average duration meets a preset condition as an alternative person;
a fifth determining module, configured to match each candidate person with each work unit, including: for each candidate person and each work order, removing the single average time length of the candidate person from the time of the current moment to the time of the work order planning start, and adding the accumulated work order time length of the candidate person to form the estimated time length of the candidate person corresponding to the work order;
the sixth determining module is configured to, for each work order, use a candidate person with the smallest estimated duration as an executive person of the work order, and accumulate the estimated duration of the candidate person into the accumulated work order duration of the candidate person.
9. A nuclear power repair data processing apparatus, the apparatus comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method of any one of claims 1 to 7.
10. A non-transitory computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211102701.7A CN117744957A (en) | 2022-09-09 | 2022-09-09 | Nuclear power maintenance data processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211102701.7A CN117744957A (en) | 2022-09-09 | 2022-09-09 | Nuclear power maintenance data processing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117744957A true CN117744957A (en) | 2024-03-22 |
Family
ID=90257754
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211102701.7A Pending CN117744957A (en) | 2022-09-09 | 2022-09-09 | Nuclear power maintenance data processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117744957A (en) |
-
2022
- 2022-09-09 CN CN202211102701.7A patent/CN117744957A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110889469B (en) | Image processing method and device, electronic equipment and storage medium | |
| US11455830B2 (en) | Face recognition method and apparatus, electronic device, and storage medium | |
| CN109919300B (en) | Neural network training method and device and image processing method and device | |
| CN110598504B (en) | Image recognition method and device, electronic equipment and storage medium | |
| CN110858924B (en) | Video background music generation method and device and storage medium | |
| CN109165738B (en) | Neural network model optimization method and device, electronic device and storage medium | |
| CN109858614B (en) | Neural network training method and device, electronic equipment and storage medium | |
| KR102412397B1 (en) | Methods and devices for recommending associated users | |
| CN113065591B (en) | Target detection method and device, electronic equipment and storage medium | |
| CN111242303A (en) | Network training method and device, and image processing method and device | |
| CN112001364A (en) | Image recognition method and device, electronic equipment and storage medium | |
| CN110633715B (en) | Image processing method, network training method and device and electronic equipment | |
| CN109447258B (en) | Neural network model optimization method and device, electronic device and storage medium | |
| CN113065361B (en) | Method and device for determining user intimacy, electronic equipment and storage medium | |
| CN112559673A (en) | Language processing model training method and device, electronic equipment and storage medium | |
| CN111582265A (en) | Text detection method and device, electronic equipment and storage medium | |
| CN109189822B (en) | Data processing method and device | |
| CN110659625A (en) | Training method and device of object recognition network, electronic equipment and storage medium | |
| CN112115321A (en) | Training method and device of content recommendation model, electronic equipment and storage medium | |
| CN111694571A (en) | Compiling method and device | |
| CN110969569A (en) | Method and device for generating test-mirror video | |
| CN117744957A (en) | Nuclear power maintenance data processing method and device | |
| CN115202888B (en) | Equipment scheduling method and device, electronic equipment and readable storage medium | |
| CN110019928B (en) | Video title optimization method and device | |
| CN116307017A (en) | Nuclear power maintenance duration estimation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |