CN114372664A - Nuclear power plant personnel data imaging method and device - Google Patents
Nuclear power plant personnel data imaging method and device Download PDFInfo
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Abstract
The disclosure belongs to the technical field of nuclear power, and particularly relates to a personnel data imaging method and device for a nuclear power plant. According to the nuclear power plant personnel data imaging method, the total overhaul amount of each equipment subtype which can be maintained by a maintenance personnel is accumulated through the working life of the maintenance personnel, the personnel determines the professional score of the historical experience value of the maintenance personnel aiming at the equipment subtype according to the work order classification of the equipment subtype and the equipment classification of the equipment subtype, and the skill level and labor output rate level of the maintenance personnel are classified, quantified and comprehensively evaluated from the historical experience of the maintenance personnel, so that the defect of the evaluation personnel in a single aspect is overcome. The accurate portrayed image result can objectively and accurately describe the technical ability and technical characteristics of the staff, and reliable data support is provided for staff training, performance assessment, work deployment, maintenance window formulation and other works.
Description
Technical Field
The invention belongs to the technical field of nuclear power, and particularly relates to a personnel data imaging method and a personnel data imaging device for a nuclear power plant.
Background
Nuclear power plant systems are numerous, equipment is numerous and diverse, nuclear specificity is strong, different theory of operation is related to, structural style, manufacturing parameter, maintenance flow, it is high to nuclear power maintainer professional demand, nuclear power maintainer on-the-spot performance difference of different specialties is big, especially when the unit trades material major repair etc. work item is many, the time window is nervous, different work responsible persons who need to accurately differentiate have different technical specialties and safety, the quality performance, rationally arrange different work responsible persons to engage in the maintenance work of different equipment, the comprehensive evaluation nuclear power maintainer.
Disclosure of Invention
In order to overcome the problems in the related art, a nuclear power plant personnel data imaging method and a nuclear power plant personnel data imaging device are provided.
According to an aspect of the embodiments of the present disclosure, there is provided a nuclear power plant personnel data imaging method, including:
acquiring identity information and working life of a person to be evaluated, wherein the identity information comprises a plurality of equipment subtypes which can be overhauled by the person;
for each equipment subtype in the plurality of equipment subtypes, acquiring the accumulated overhaul total number of the personnel for the equipment subtype, the work order classification of the personnel for each overhaul of the equipment subtype and the equipment grade of the equipment subtype;
for each equipment subtype of the plurality of equipment subtypes, determining a historical experience value professional score for the person for the equipment subtype based on a working age of the person, a cumulative total number of overhauls for the person for the equipment subtype, a work order rating for the person for each overhaul of the equipment subtype, an equipment rating for the equipment subtype, and a historical experience value professional score for the person for the equipment subtype.
In one possible implementation, the method further includes:
and determining the professional total score of the historical experience value of the person according to the professional scores of the historical experience values of the equipment subtypes of the person.
In one possible implementation, the method further includes:
for each equipment subtype in the plurality of equipment subtypes, acquiring the total number of people overhauling the equipment subtype and the time consumed for each person to overhaul the equipment subtype;
for each of the plurality of equipment subtypes, determining an average man-hour for the equipment subtype based on a total number of people to overhaul the equipment subtype and a man-hour taken for each person to overhaul the equipment subtype;
for each equipment subtype in the multiple equipment subtypes, acquiring the number of safety events for overhauling the equipment subtype by the personnel, the repeated overhauling condition for overhauling the equipment subtype by the personnel and the accumulated working hours for overhauling the equipment subtype by the personnel;
for each equipment subtype in the multiple equipment subtypes, according to the accumulated overhaul total number of the personnel for the equipment subtype, the accumulated overhaul working hours of the personnel for overhauling the equipment subtype, the difference value of the average overhaul working hours of the equipment subtype, the number of safety events of the personnel for overhauling the equipment subtype, the repeated overhaul condition of the personnel for overhauling the equipment subtype, and the efficiency performance score of the personnel for the equipment subtype is determined.
In one possible implementation, the method further includes:
and determining the efficiency performance point professional total score of the personnel according to the efficiency performance point professional scores of the equipment subtypes of the personnel.
In one possible implementation, the method further includes:
for each of the plurality of equipment subtypes, determining a technical competency value for the person for the equipment subtype based on the historical experience value expertise score for the person for the equipment subtype and the efficiency performance score for the person for the equipment subtype.
In one possible implementation, the method further includes:
and determining the comprehensive technical capability value of the personnel according to the professional total score of the historical experience value of the personnel and the professional total score of the efficiency performance point of the personnel.
According to another aspect of the disclosed embodiments, there is provided a nuclear power plant personnel data imaging device, the device including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring identity information and working life of a person to be evaluated, and the identity information comprises a plurality of equipment subtypes which can be overhauled by the person;
a second obtaining module, configured to obtain, for each of the multiple equipment subtypes, a cumulative total number of overhauls of the person for the equipment subtype, a work order rating of the person for each overhaul of the equipment subtype, and an equipment rating of the equipment subtype;
the first determination module is used for determining historical experience value professional scores of the personnel for each equipment subtype according to the working years of the personnel, the accumulated total overhaul number of the personnel for the equipment subtype, the work order grading of the personnel for each overhaul of the equipment subtype, and the equipment grade of the equipment subtype.
In one possible implementation, the apparatus further includes:
and the second determination module is used for determining the professional total score of the historical experience value of the person according to the professional scores of the historical experience value of each equipment subtype of the person.
In one possible implementation, the apparatus further includes:
the third acquisition module is used for acquiring the total number of people for overhauling the equipment subtype and the time consumed for overhauling the equipment subtype by each person aiming at each equipment subtype in the plurality of equipment subtypes;
a third determination module for determining, for each of the plurality of equipment subtypes, an average man-hour for the equipment subtype based on a total number of people servicing the equipment subtype and a man-hour taken for each person to service the equipment subtype;
a fourth obtaining module, configured to obtain, for each of the multiple equipment subtypes, the number of safety events for the person to overhaul the equipment subtype, a repeated overhaul condition for the person to overhaul the equipment subtype, and accumulated man-hours for the person to overhaul the equipment subtype;
and the fourth determination module is used for determining the efficiency performance score of the personnel for each equipment subtype in the plurality of equipment subtypes according to the accumulated overhaul total number of the personnel for the equipment subtype, the accumulated reasonable overhaul working hours of the personnel for overhauling the equipment subtype, the difference value of the average overhaul working hours of the equipment subtype, the number of safety events for the personnel for overhauling the equipment subtype, the repeated overhaul condition for the personnel for overhauling the equipment subtype and the equipment subtype.
In one possible implementation, the apparatus further includes:
and the fifth determining module is used for determining the efficiency performance point professional total score of the personnel according to the efficiency performance point professional scores of the equipment subtypes of the personnel.
In one possible implementation, the apparatus further includes:
a sixth determination module for determining, for each of the plurality of equipment subtypes, a technical ability value of the person for that equipment subtype based on the person's historical experience value expertise score for that equipment subtype and the person's efficiency performance score for that equipment subtype.
According to another aspect of the disclosed embodiments, there is provided a nuclear power plant personnel data imaging device, the device including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method described above.
According to another aspect of embodiments of the present disclosure, 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 effect of this disclosure lies in: according to the nuclear power plant personnel data imaging method, the total overhaul amount of each equipment subtype which can be maintained by a maintenance personnel is accumulated through the working life of the maintenance personnel, the personnel determines the professional score of the historical experience value of the maintenance personnel aiming at the equipment subtype according to the work order classification of the equipment subtype and the equipment classification of the equipment subtype, and the skill level and labor output rate level of the maintenance personnel are classified, quantified and comprehensively evaluated from the historical experience of the maintenance personnel, so that the defect of the evaluation personnel in a single aspect is overcome. The accurate portrayed image result can objectively and accurately describe the technical ability and technical characteristics of the staff, and reliable data support is provided for staff training, performance assessment, work deployment, maintenance window formulation and other works.
Drawings
FIG. 1 is a flow chart illustrating a method for nuclear plant personnel data imaging in accordance with an exemplary embodiment.
FIG. 2 is a schematic diagram of a people data representation radar shown in accordance with an exemplary embodiment.
FIG. 3 is a block diagram illustrating a nuclear plant personnel data imaging device in accordance with an exemplary embodiment.
FIG. 4 is a block diagram illustrating a nuclear plant personnel data imaging device in accordance with an exemplary embodiment.
Detailed Description
The invention is described in further detail below with reference to the figures and the embodiments.
FIG. 1 is a flow chart illustrating a method for nuclear plant personnel data imaging in accordance with an exemplary embodiment. The method may be executed by a terminal device, for example, 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 a user device, a vehicle-mounted device, or a wearable device, or the like, and the type of the terminal device is not limited in the embodiment of the present disclosure. As shown in fig. 1, the method may include:
The identity information of the person to be evaluated may include the name, personal attribute, sex, age, academic calendar, etc. of the person, and may further include a device subtype that the person can service, and in general, each person can service a plurality of device subtypes.
102, for each equipment subtype in the multiple equipment subtypes, according to the working life of the person, the accumulated total overhaul number of the person for the equipment subtype, the work order rating of the person for each overhaul of the equipment subtype, the equipment rating of the equipment subtype, and the historical experience value professional score of the person for the equipment subtype are determined.
For example, the historical experience value professional score of the person to be evaluated for each device subtype may be determined according to equation one:
wherein SSjThe evaluation method comprises the steps of specially scoring a to-be-evaluated person according to a historical experience value with a serial number of a device subtype j, wherein j is the serial number of the device subtype, if the number of the device subtypes which can be overhauled by the to-be-evaluated person is N, j is more than or equal to 1 and less than or equal to N, Y is the working life of the person, A is the accumulated overhaul total number of the person according to the device subtype, LiGrading the work order of the personnel for the ith overhaul of the subtype j of the equipment, NjFor the device rank of device subtype j, X1 is the first weighting factor, for example, X1 may take the value 1.5.
The nuclear power plant personnel data imaging method disclosed by the invention takes each equipment subtype capable of being overhauled by a person to be evaluated as a basic unit, the total overhaul amount of the person is accumulated by the person aiming at each equipment subtype through the working life of a maintenance person, the work order classification of the person aiming at each overhaul of the equipment subtype and the equipment grade of the equipment subtype are determined by the person to be evaluated aiming at the historical experience value professional score of the person to be evaluated aiming at the equipment subtype, the skill level and the labor output rate level of the maintenance person are classified, quantified and comprehensively evaluated from the historical experience of the maintenance person, the defect of the evaluation person in a single aspect is overcome, in addition, the capability of the person is corresponding to the equipment subtype, and the evaluation person aiming at specific maintenance items is facilitated. The data image result can objectively and accurately describe the technical ability and technical characteristics of the staff, and reliable data support is provided for staff training, performance assessment, work deployment, maintenance window formulation and other works.
In one possible implementation, the method further includes: and determining the professional total score of the historical experience value of the person according to the professional scores of the historical experience values of the equipment subtypes of the person.
For example, the maximum value of the historical experience value professional scores of the equipment subtypes may be selected as the historical experience value professional total score of the person, the weighted sum of the historical experience value professional scores of the equipment subtypes may be used as the historical experience value professional total score of the person, or the average value of the historical experience value professional scores of the equipment subtypes may be used as the historical experience value professional total score of the person, and a specific calculation method of the historical experience value professional total score of the person is not limited.
In one possible implementation, the method further includes:
step 200, acquiring the total number of people for overhauling the equipment subtype and the time consumed for overhauling the equipment subtype by each person aiming at each equipment subtype in the plurality of equipment subtypes;
step 201, aiming at each equipment subtype in the plurality of equipment subtypes, determining average overhaul man-hour of the equipment subtype according to the total number of people overhauling the equipment subtype and the man-hour consumed for overhauling the equipment subtype by each person;
step 202, aiming at each equipment subtype in the multiple equipment subtypes, acquiring the number of safety events for overhauling the equipment subtype by the personnel, the repeated overhauling condition for overhauling the equipment subtype by the personnel and the accumulated working hours for overhauling the equipment subtype by the personnel;
step 203, aiming at each equipment subtype in the multiple equipment subtypes, according to the accumulated overhaul total number of the personnel aiming at the equipment subtype, the accumulated working hours of the personnel for overhauling the equipment subtype, the difference value of the average overhaul working hours of the equipment subtype, the number of safety events of the personnel for overhauling the equipment subtype, the repeated overhaul condition of the personnel for overhauling the equipment subtype, and the efficiency performance score of the personnel aiming at the equipment subtype is determined.
For example, the time T consumed by the device subtype j can be determined according to the formula twoaverage.j：
Wherein M is the total number of people in the overhaul equipment subtype j, TiIt takes time for the ith person of the M persons to troubleshoot the equipment subtype j.
Then, the efficiency performance score of the person to be evaluated for the equipment subtype can be determined according to the formula three:
wherein, TiThe time consumed by the person to be evaluated in the ith overhaul equipment subtype j, RjFor the repeated overhaul condition of the personnel overhaul equipment subtype j, the repeated overhaul can be represented as the situation that after the personnel overhauls the equipment, the equipment fails again, and the repeated overhaul condition of the personnel overhaul equipment subtype j is Rj0, occurrence of repetitive overhaul rules R for the personnel overhaul equipment subtype jjWhen the number of safety events of the personnel overhaul equipment subtype j is 1, Fj is the number of safety events of the personnel overhaul equipment subtype j, the number of safety events may include the total number of unit safety accidents, unit safety failure accidents, industrial safety failure accidents, radiation protection failure accidents and other events violating the unit where the violation occurs and the management rule of the department, X2 is a second weighting coefficient, for example, X2 may take the value of 5, and the parameter meanings of the formula three are the same as those of the formula one and the formula two, which will not be described herein again.
In this disclosure, through setting up difference, the personnel to the repeated maintenance of equipment subtype and the accident quantity of personnel to equipment subtype between long and average man-hour of the maintenance of personnel to equipment subtype, personnel can be comprehensive, objective reflection personnel's maintenance efficiency, in addition, because the progress that will serious influence nuclear power plant maintenance appears in the condition of repeated maintenance, increase personnel irradiation risk, consequently set up R after the repeated maintenance appearsjIs 0, the negative influence of the phenomenon of repeated maintenance on the maintenance efficiency score of the personnel can be greatly increased, thereby being more accurateReflects the actual overhaul capacity of the personnel.
In one possible implementation, the method further includes: and determining the efficiency performance point professional total score of the personnel according to the efficiency performance point professional scores of the equipment subtypes of the personnel.
For example, the maximum value of the efficiency performance professional scores of the respective equipment subtypes may be selected as the efficiency performance professional total score of the person, the weighted sum of the efficiency performance professional scores of the respective equipment subtypes may be used as the efficiency performance professional total score of the person, or the average value of the efficiency performance professional scores of the respective equipment subtypes may be used as the efficiency performance professional total score of the person, and a specific calculation method of the efficiency performance professional total score of the person is not limited.
In one possible implementation, the method further includes: for each of the plurality of equipment subtypes, determining a technical competency value for the person for the equipment subtype based on the historical experience value expertise score for the person for the equipment subtype and the efficiency performance score for the person for the equipment subtype.
FIG. 2 is a schematic diagram of a people data representation radar shown in accordance with an exemplary embodiment. As shown in FIG. 2, the technical ability value of each equipment subtype of a person can be displayed, the equipment type which is good for the person can be visually highlighted, and the quick search for the suitable person for the maintenance object is facilitated.
For example, the technical capability value of the person for the equipment subtype may be a sum or a weighted sum of historical experience value professional scores of the person for the equipment subtype and efficiency performance scores of the person for the equipment subtype, which is not limited by the present disclosure.
In one possible implementation, the method further includes:
and determining the comprehensive technical capability value of the personnel according to the professional total score of the historical experience value of the personnel and the professional total score of the efficiency performance point of the personnel.
In one possible implementation, a nuclear power plant personnel data imaging device is provided, the device comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring identity information and working life of a person to be evaluated, and the identity information comprises a plurality of equipment subtypes which can be overhauled by the person;
a second obtaining module, configured to obtain, for each of the multiple equipment subtypes, a cumulative total number of overhauls of the person for the equipment subtype, a work order rating of the person for each overhaul of the equipment subtype, and an equipment rating of the equipment subtype;
the first determination module is used for determining historical experience value professional scores of the personnel for each equipment subtype according to the working years of the personnel, the accumulated total overhaul number of the personnel for the equipment subtype, the work order grading of the personnel for each overhaul of the equipment subtype, and the equipment grade of the equipment subtype.
In one possible implementation, the apparatus further includes:
and the second determination module is used for determining the professional total score of the historical experience value of the person according to the professional scores of the historical experience value of each equipment subtype of the person.
In one possible implementation, the apparatus further includes:
the third acquisition module is used for acquiring the total number of people for overhauling the equipment subtype and the time consumed for overhauling the equipment subtype by each person aiming at each equipment subtype in the plurality of equipment subtypes;
a third determination module for determining, for each of the plurality of equipment subtypes, an average man-hour for the equipment subtype based on a total number of people servicing the equipment subtype and a man-hour taken for each person to service the equipment subtype;
a fourth obtaining module, configured to obtain, for each of the multiple equipment subtypes, the number of safety events for the person to overhaul the equipment subtype, a repeated overhaul condition for the person to overhaul the equipment subtype, and accumulated man-hours for the person to overhaul the equipment subtype;
and the fourth determination module is used for determining the efficiency performance score of the personnel for each equipment subtype in the plurality of equipment subtypes according to the accumulated overhaul total number of the personnel for the equipment subtype, the accumulated reasonable overhaul working hours of the personnel for overhauling the equipment subtype, the difference value of the average overhaul working hours of the equipment subtype, the number of safety events for the personnel for overhauling the equipment subtype, the repeated overhaul condition for the personnel for overhauling the equipment subtype and the equipment subtype.
In one possible implementation, the apparatus further includes:
and the fifth determining module is used for determining the efficiency performance point professional total score of the personnel according to the efficiency performance point professional scores of the equipment subtypes of the personnel.
In one possible implementation, the apparatus further includes:
a sixth determination module for determining, for each of the plurality of equipment subtypes, a technical ability value of the person for that equipment subtype based on the person's historical experience value expertise score for that equipment subtype and the person's efficiency performance score for that equipment subtype.
In one possible implementation, the apparatus further includes:
and the seventh determining module is used for determining the comprehensive technical capability value of the personnel according to the professional total score of the historical experience value of the personnel and the professional total score of the efficiency performance point of the personnel.
The description of the above apparatus has been detailed in the description of the above method, and is not repeated here.
FIG. 3 is a block diagram illustrating a nuclear plant personnel data imaging device in accordance with an exemplary embodiment. For example, the apparatus 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 3, the apparatus 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.
The processing component 802 generally controls overall operation of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the apparatus described above. Further, the processing component 802 can include one or more modules that facilitate interaction 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 so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile 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 disks.
The multimedia component 808 includes a screen that provides an output interface between the device 800 and the user. 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 an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 800 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
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 apparatus 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also 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 keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the device 800. For example, the sensor assembly 814 may detect the open/closed status of the device 800, the relative positioning of the components, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in the position of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, the orientation or acceleration/deceleration of the device 800, and a change in the temperature of the device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object 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 gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communications between the apparatus 800 and other devices 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 an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, communications component 816 further includes a Near Field Communications (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, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the device 800 to perform the above-described methods.
FIG. 4 is a block diagram illustrating a nuclear plant personnel data imaging device in accordance with an exemplary embodiment. For example, the apparatus 1900 may be provided as a server. Referring to fig. 4, the device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by the processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 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, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the apparatus 1900 to perform the above-described methods.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory 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: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical 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 via 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 transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter 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.
The computer program instructions for carrying out operations of the present disclosure may be assembler 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 execute 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 type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
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 storing the instructions comprises 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 flowchart 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.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (14)
1. A nuclear power plant personnel data imaging method is characterized by comprising the following steps:
acquiring identity information and working life of a person to be evaluated, wherein the identity information comprises a plurality of equipment subtypes which can be overhauled by the person;
for each equipment subtype in the plurality of equipment subtypes, acquiring the accumulated overhaul total number of the personnel for the equipment subtype, the work order classification of the personnel for each overhaul of the equipment subtype and the equipment grade of the equipment subtype;
for each equipment subtype of the plurality of equipment subtypes, determining a historical experience value professional score for the person for the equipment subtype based on a working age of the person, a cumulative total number of overhauls for the person for the equipment subtype, a work order rating for the person for each overhaul of the equipment subtype, an equipment rating for the equipment subtype, and a historical experience value professional score for the person for the equipment subtype.
2. The method of claim 1, further comprising:
and determining the professional total score of the historical experience value of the person according to the professional scores of the historical experience values of the equipment subtypes of the person.
3. The method of claim 2, further comprising:
for each equipment subtype in the plurality of equipment subtypes, acquiring the total number of people overhauling the equipment subtype and the time consumed for each person to overhaul the equipment subtype;
for each of the plurality of equipment subtypes, determining an average man-hour for the equipment subtype based on a total number of people to overhaul the equipment subtype and a man-hour taken for each person to overhaul the equipment subtype;
for each equipment subtype in the multiple equipment subtypes, acquiring the number of safety events for overhauling the equipment subtype by the personnel, the repeated overhauling condition for overhauling the equipment subtype by the personnel and the accumulated working hours for overhauling the equipment subtype by the personnel;
for each equipment subtype in the multiple equipment subtypes, according to the accumulated overhaul total number of the personnel for the equipment subtype, the accumulated overhaul working hours of the personnel for overhauling the equipment subtype, the difference value of the average overhaul working hours of the equipment subtype, the number of safety events of the personnel for overhauling the equipment subtype, the repeated overhaul condition of the personnel for overhauling the equipment subtype, and the efficiency performance score of the personnel for the equipment subtype is determined.
4. The method of claim 3, further comprising:
and determining the efficiency performance point professional total score of the personnel according to the efficiency performance point professional scores of the equipment subtypes of the personnel.
5. The method of claim 3, further comprising:
for each of the plurality of equipment subtypes, determining a technical competency value for the person for the equipment subtype based on the historical experience value expertise score for the person for the equipment subtype and the efficiency performance score for the person for the equipment subtype.
6. The method of claim 4, further comprising:
and determining the comprehensive technical capability value of the personnel according to the professional total score of the historical experience value of the personnel and the professional total score of the efficiency performance point of the personnel.
7. A nuclear power plant personnel data imaging apparatus, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring identity information and working life of a person to be evaluated, and the identity information comprises a plurality of equipment subtypes which can be overhauled by the person;
a second obtaining module, configured to obtain, for each of the multiple equipment subtypes, a cumulative total number of overhauls of the person for the equipment subtype, a work order rating of the person for each overhaul of the equipment subtype, and an equipment rating of the equipment subtype;
the first determination module is used for determining historical experience value professional scores of the personnel for each equipment subtype according to the working years of the personnel, the accumulated total overhaul number of the personnel for the equipment subtype, the work order grading of the personnel for each overhaul of the equipment subtype, and the equipment grade of the equipment subtype.
8. The apparatus of claim 7, further comprising:
and the second determination module is used for determining the professional total score of the historical experience value of the person according to the professional scores of the historical experience value of each equipment subtype of the person.
9. The apparatus of claim 8, further comprising:
the third acquisition module is used for acquiring the total number of people for overhauling the equipment subtype and the time consumed for overhauling the equipment subtype by each person aiming at each equipment subtype in the plurality of equipment subtypes;
a third determination module for determining, for each of the plurality of equipment subtypes, an average man-hour for the equipment subtype based on a total number of people servicing the equipment subtype and a man-hour taken for each person to service the equipment subtype;
a fourth obtaining module, configured to obtain, for each of the multiple equipment subtypes, the number of safety events for the person to overhaul the equipment subtype, a repeated overhaul condition for the person to overhaul the equipment subtype, and accumulated man-hours for the person to overhaul the equipment subtype;
and the fourth determination module is used for determining the efficiency performance score of the personnel for each equipment subtype in the plurality of equipment subtypes according to the accumulated overhaul total number of the personnel for the equipment subtype, the accumulated reasonable overhaul working hours of the personnel for overhauling the equipment subtype, the difference value of the average overhaul working hours of the equipment subtype, the number of safety events for the personnel for overhauling the equipment subtype, the repeated overhaul condition for the personnel for overhauling the equipment subtype and the equipment subtype.
10. The apparatus of claim 9, further comprising:
and the fifth determining module is used for determining the efficiency performance point professional total score of the personnel according to the efficiency performance point professional scores of the equipment subtypes of the personnel.
11. The apparatus of claim 9, further comprising:
a sixth determination module for determining, for each of the plurality of equipment subtypes, a technical ability value of the person for that equipment subtype based on the person's historical experience value expertise score for that equipment subtype and the person's efficiency performance score for that equipment subtype.
12. The apparatus of claim 10, further comprising:
and the seventh determining module is used for determining the comprehensive technical capability value of the personnel according to the professional total score of the historical experience value of the personnel and the professional total score of the efficiency performance point of the personnel.
13. A nuclear power plant personnel data imaging 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 6.
14. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 6.
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| CN202111441629.6A CN114372664A (en) | 2021-11-30 | 2021-11-30 | Nuclear power plant personnel data imaging method and device |
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| CN202111441629.6A CN114372664A (en) | 2021-11-30 | 2021-11-30 | Nuclear power plant personnel data imaging method and device |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107809322A (en) * | 2016-09-06 | 2018-03-16 | 中兴通讯股份有限公司 | The distribution method and device of work order |
| CN111445073A (en) * | 2020-03-26 | 2020-07-24 | 珠海格力电器股份有限公司 | Equipment operation and maintenance management method and device, storage medium and terminal |
| CN112258065A (en) * | 2020-10-29 | 2021-01-22 | 上海电气集团股份有限公司 | Method, device and equipment for determining maintenance and dispatching sequence |
| CN112347074A (en) * | 2020-10-30 | 2021-02-09 | 中核核电运行管理有限公司 | Method and device for establishing nuclear power plant maintenance expert library |
| CN112966259A (en) * | 2021-03-03 | 2021-06-15 | 北京科东电力控制***有限责任公司 | Power monitoring system operation and maintenance behavior security threat assessment method and equipment |
| CN113191509A (en) * | 2021-05-27 | 2021-07-30 | 广州广电运通智能科技有限公司 | Intelligent order dispatching method, equipment, medium and product based on maintenance personnel portrait |
-
2021
- 2021-11-30 CN CN202111441629.6A patent/CN114372664A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107809322A (en) * | 2016-09-06 | 2018-03-16 | 中兴通讯股份有限公司 | The distribution method and device of work order |
| CN111445073A (en) * | 2020-03-26 | 2020-07-24 | 珠海格力电器股份有限公司 | Equipment operation and maintenance management method and device, storage medium and terminal |
| CN112258065A (en) * | 2020-10-29 | 2021-01-22 | 上海电气集团股份有限公司 | Method, device and equipment for determining maintenance and dispatching sequence |
| CN112347074A (en) * | 2020-10-30 | 2021-02-09 | 中核核电运行管理有限公司 | Method and device for establishing nuclear power plant maintenance expert library |
| CN112966259A (en) * | 2021-03-03 | 2021-06-15 | 北京科东电力控制***有限责任公司 | Power monitoring system operation and maintenance behavior security threat assessment method and equipment |
| CN113191509A (en) * | 2021-05-27 | 2021-07-30 | 广州广电运通智能科技有限公司 | Intelligent order dispatching method, equipment, medium and product based on maintenance personnel portrait |
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