CN112348342A - Employee behavior analysis method and device - Google Patents
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Abstract
The utility model belongs to the technical field of nuclear power, in particular to a staff behavior analysis method and a device, which can collect 5-dimensional working data of staff in near real time, and is more efficient and comprehensive compared with the prior data collection in a mode of observation by a manager; whether the working behavior of the staff has risks or not is determined according to the working load condition, the working quality condition, the working efficiency condition, the working pressure condition and the personal safety condition of the staff, and compared with the existing method that the working behavior risk of the staff is judged by depending on the self-ability of a manager, the method is more objective and accurate, has less deviation, and is beneficial for the manager to timely and accurately discover the staff with potential risks.
Description
Technical Field
The invention belongs to the technical field of nuclear power, and particularly relates to a method and a device for analyzing staff behaviors.
Background
Generally, the safety production risk of the nuclear power industry basically eliminates the operation risk of equipment and the management risk of a production flow, and the human risk caused by staff behaviors is a direct reason for most accidents. The human risk includes physiological risk, psychological risk, knowledge risk, skill risk, and behavior risk. These risks can cause significant losses to the enterprise and, in extreme cases, even concern the business or industry.
In the related technology, the working behavior of the staff is mainly obtained through the observation of a department manager or the feedback of other staff, and the staff behavior is analyzed and intervened, and the mode of obtaining the staff behavior and intervening the behavior has the following defects: (1) the level and time of different managers are different under the influence of the level of the manager, so that the behaviors of all the employees are difficult to comprehensively understand and analyze and reasonable intervention is further given. (2) The subjective reason of the manager, because the manager is influenced by the emotion or recent facts, may cause errors in the behavior analysis and intervention of the staff. (3) Generally, a nuclear power plant has a few departments, dozens of people and hundreds of people, and a manager has difficulty in analyzing the working behaviors of all employees in real time and performing work intervention management according to the working behaviors so as to reduce human risks. Therefore, how to accurately and efficiently evaluate the behavior of the staff becomes a problem to be solved urgently.
Disclosure of Invention
In order to overcome the problems in the related art, a method and a device for analyzing the behavior of the staff are provided.
According to an aspect of the embodiments of the present disclosure, there is provided an employee behavior analysis method, including:
acquiring the working data of the staff to be tested from the production management information system;
determining the working load condition, the working quality condition, the working efficiency condition, the working pressure condition and the personal safety condition of the staff to be tested according to the obtained working data;
judging whether the working load condition, the working quality condition, the working efficiency, the working pressure condition and the personal safety condition have risks or not;
and when the risk exists in any one or more of the workload condition, the working quality condition, the working efficiency, the working pressure condition and the personal safety condition, determining that the potential risk exists in the staff to be tested.
In a possible implementation manner, acquiring the work data of the staff to be tested from the production management information system includes:
acquiring work ticket data and attendance data of the staff to be tested in a plurality of time periods and each time period from a production management information system;
determining the working load condition, the working quality condition, the working efficiency condition, the working pressure condition and the personal safety condition of the staff to be tested according to the obtained working data, wherein the method comprises the following steps:
taking the number of the work tickets held by the staff to be tested at each time interval as the work load condition of the staff to be tested;
taking the one-time approval passing rate of the work ticket submitted by the staff to be tested at each time interval as the working quality condition of the staff to be tested;
taking the total working duration of the work ticket held by the staff to be tested at each time interval as the working efficiency condition of the staff to be tested;
taking the overtime duration of each time period of the staff to be tested as the working pressure condition of the staff to be tested;
and taking the risk amount born by the staff to be tested in each time period as the personal safety condition of the staff to be tested.
In one possible implementation, the determining whether the workload condition, the work quality condition, the work efficiency, the work pressure condition, and the personal safety condition are at risk includes:
if the distribution of the number of the work tickets in each time period in the first threshold interval is judged to accord with a preset first preset condition, the workload condition has a risk;
if the distribution of the one-time approval passing rate of each time interval in the second threshold interval is judged to accord with a preset second preset condition, the working quality condition has a risk;
if the distribution of the total working duration of each time period in the third threshold interval is judged to accord with a preset third preset condition, the working efficiency condition has a risk;
if the distribution of the overtime duration of each time period in the fourth threshold interval is judged to accord with a preset fourth preset condition, the working pressure condition has a risk;
and if the distribution of the risk amount of each time period in the fifth threshold interval is judged to accord with a preset fifth preset condition, the personal safety condition has risk.
In one possible implementation, the method further includes:
and sending prompt information to the associated account under the condition that the potential risk of the staff to be tested is determined, wherein the prompt information is used for indicating that the potential risk of the staff to be tested exists.
According to another aspect of the embodiments of the present disclosure, there is provided an employee behavior analysis apparatus, the apparatus including:
the acquisition module is used for acquiring the working data of the staff to be tested from the production management information system;
the first determining module is used for determining the working load condition, the working quality condition, the working efficiency condition, the working pressure condition and the personal safety condition of the staff to be tested according to the obtained working data;
the judging module is used for judging whether risks exist in the working load condition, the working quality condition, the working efficiency, the working pressure condition and the personal safety condition or not;
and the second determining module is used for determining that the staff to be tested has potential risks when the risks exist in any one or more conditions of the workload condition, the work quality condition, the work efficiency, the work pressure condition and the personal safety condition.
In one possible implementation manner, the obtaining module includes:
the acquisition submodule is used for acquiring the work ticket data and the attendance data of the staff to be detected in a plurality of time periods in a production management information system;
the first determining module includes:
the first determining submodule is used for taking the number of the work tickets held by the staff to be tested at each time interval as the work load condition of the staff to be tested;
the second determining submodule is used for taking the one-time approval passing rate of the work ticket submitted by the staff to be tested at each time interval as the working quality condition of the staff to be tested;
the third determining submodule is used for taking the total working time of the work ticket held by the staff to be tested at each time interval as the working efficiency condition of the staff to be tested;
the fourth determining submodule is used for taking the overtime duration of each time period of the staff to be tested as the working pressure condition of the staff to be tested;
and the fifth determining submodule is used for taking the risk amount born by the staff to be tested in each time period as the personal safety condition of the staff to be tested.
In one possible implementation manner, the determining module includes:
the first judgment submodule is used for determining that the workload condition has risks when the distribution of the number of the work tickets in each time period in the first threshold interval is judged to meet a preset first preset condition;
the second judgment submodule is used for determining that the working quality condition has risks when the distribution of the one-time approval passing rate of each time interval in the second threshold interval is judged to meet a preset second preset condition;
the third judgment submodule is used for determining that the working efficiency condition has a risk when the distribution of the total working duration of each time interval in a third threshold interval is judged to meet a preset third preset condition;
the fourth judgment submodule is used for determining that the working pressure condition has a risk when the distribution of the overtime duration of each time period in the fourth threshold interval is judged to meet a preset fourth preset condition;
and the fifth judgment submodule is used for determining that the personal safety condition has risks when the distribution of the risk amount of each time interval in the fifth threshold interval is judged to meet a preset fifth preset condition.
In one possible implementation, the apparatus further includes:
and the communication module is used for sending prompt information to the associated account under the condition that the potential risk of the staff to be tested is determined, wherein the prompt information is used for indicating that the potential risk of the staff to be tested exists.
According to another aspect of the embodiments of the present disclosure, there is provided an employee behavior analysis apparatus, 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: the system can acquire the 5-dimensional working data of the staff in near real time, and is more efficient and comprehensive compared with the conventional mode of acquiring data by observing through a manager; whether the working behavior of the staff has risks or not is determined according to the working load condition, the working quality condition, the working efficiency condition, the working pressure condition and the personal safety condition of the staff, and compared with the existing method that the working behavior risk of the staff is judged by depending on the self-ability of a manager, the method is more objective and accurate, has less deviation, and is beneficial for the manager to timely and accurately discover the staff with potential risks.
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FIG. 1 is a flow diagram illustrating a method for employee behavior analysis in accordance with an exemplary embodiment.
Fig. 2 is a block diagram illustrating an employee behavior analysis apparatus according to an example embodiment.
Fig. 3 is a block diagram illustrating an employee behavior analysis apparatus according to an example embodiment.
Detailed Description
The invention is described in further detail below with reference to the figures and the embodiments.
FIG. 1 is a flow diagram illustrating a method for employee behavior analysis 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:
102, judging whether the working load condition, the working quality condition, the working efficiency, the working pressure condition and the personal safety condition have risks or not;
103, determining that the staff to be tested has potential risks when any one or more of the workload condition, the work quality condition, the work efficiency, the work pressure condition and the personal safety condition is/are judged to have risks.
In the present disclosure, a production management information system may be represented as an information system for supporting production operations of a nuclear power plant, and the production management information system may record data generated by each employee during a production process.
As an example of this embodiment, in step 100: the data of the work tickets and the attendance data of the staff to be tested in a plurality of time periods and each time period can be acquired from a production management information system.
For example, a past time may be selected, a plurality of time periods may be selected from the time period from the past time to the current time, the time lengths of the time periods are the same, and the intervals between the time periods may also be the same, for example, eight to seventeen points per day in a week before the current date may be selected as the time periods. For each time interval, the terminal device can acquire work ticket data and attendance data corresponding to the person to be analyzed in the time interval. The work tickets can represent records of various works performed by the nuclear power plant employees, the work tickets held by the employees can comprise various production work tickets such as maintenance work order work tickets, operation isolation operation work tickets, radiation protection work tickets, quality assurance work tickets, engineering technology improvement work tickets and the like, and the data of the work tickets of the employees can accurately and comprehensively reflect the working conditions of the employees.
In step 101, a required value may be extracted from the job ticket data and the attendance data, so as to determine a workload condition, a work quality condition, a work efficiency condition, a work pressure condition, and a personal safety condition of the employee to be tested.
For example, the number of work tickets held by the staff to be tested at each time interval may be used as the workload condition of the staff to be tested;
for example, for each of a plurality of time periods, the number of all the work tickets held by the employee in the time period may be counted, and the number of the work tickets corresponding to each time period may be used as the workload condition of the employee.
For example, the one-time approval passing rate of the work ticket submitted by the staff to be tested at each time interval is used as the work quality condition of the staff to be tested;
for example, for each time period, the one-time approval pass rate of the work tickets submitted by the employee during the time period may be the number of one-time approval passes of the work tickets of the employee during the time period and the total number of work tickets submitted by the employee during the time period. The number of all the work tickets held by each work of the employee to be tested in each time period can be used as the workload condition of the employee. The work tickets submitted by the employees can comprise written work tickets submitted by the employees and finished works.
For example, the total working duration of the work ticket held by the staff to be tested at each time interval is used as the working efficiency condition of the staff to be tested;
for example, the time length between the time of opening a job and the time of completion recorded in the work ticket may be used as the work time length of the work ticket, or the time length between the time when the production management information system sends the work ticket approval message and the time when the employee completes the work ticket approval may be used as the work time length of the work ticket. According to each time interval in a plurality of time intervals, the total working time length of all the working tickets held by the staff in the time interval can be counted to be used as the total working time length, and the total working time length corresponding to each time interval is used as the working load condition of the staff.
For example, the overtime duration of each time period of the staff to be tested is used as the working pressure condition of the staff to be tested;
working conditions of overtime on weekdays, overtime on weekends and overtime on holidays. The overtime condition of the employee in the non-working time can be found according to the submission time, the time for approving and returning the work ticket recorded in the modification log of the work ticket of the employee in the production management system,
for example, attendance information of the employee may be obtained, the working hours of the employee during the non-working time of the working day and the working hours of the employee during the non-working time of the working day may be counted, a weight may be set for each time period, table 1 shows weights corresponding to different time periods, the weight of the employee during the working hours of different time periods may be determined according to the date and the start and end time of each working hour of the employee, and if the employee performs working hours at saturday 15 to 21, the working hours of the employee during the working hours may be 3 × 1+ 2+1 × 3, and the working hours of the employee may be 10 hours. The working tasks are important and the construction period is urgent as the overtime time of overtime and the overtime of important holidays indicate that the working tasks are important, so the stress born by the staff and the workload paid by the staff can be more effectively reflected by the calculation method for adding the weight to the overtime time of nights and holidays.
TABLE 1
And finally, the overtime duration corresponding to each time interval of the employee can be used as the workload condition of the employee.
For example, the risk amount borne by the staff to be tested in each time period is used as the personal safety condition of the staff to be tested.
For example, the risk amount may include the sum of the exposure dose value that the employee has accepted, the number of past and ongoing high risk jobs, the number of past and ongoing risk point jobs in the job ticket, or a weighted sum of the three. By the aid of the three types of data, personal work safety conditions of the employees can be observed. The risk amount of each time period can be used as the personal safety condition of the staff to be tested.
Next, in step 102, the terminal device may determine whether the workload condition, the work quality condition, the work efficiency, the work pressure condition, and the personal safety condition are at risk.
For example, if it is determined that the distribution of the number of work tickets in each time period in the first threshold interval meets a preset first preset condition, the workload condition is at risk.
For example, an average value of the number of work tickets held by the nuclear plant employee in the same time period may be determined, and a first threshold interval may be determined according to the average value, wherein the first threshold interval may include a plurality of sub-intervals, for example, the first threshold interval may include sub-intervals of (— infinity, e ], [ e, d ], [ d, c ], [ c, b ], [ b, a ], [ a, + ∞), where a is an upper risk limit (e.g., 140% of the average value of the number of work tickets), b is an upper risk limit (e.g., 120% of the average value of the number of work tickets), c is a lower risk limit (e.g., 80% of the average value of the number of work tickets), and e is a lower risk limit (e.g., 60% of the average value of the number of work tickets). Let the number of time periods be N, N being a positive integer greater than 1.
The first preset condition may include any one or more of the following.
Of the N sample values, there is one or more sample values that belong to (- ∞, e ] or [ a, + ∞);
each sample value belongs to [ e, d ] or [ b, a ] in the N sample values;
the N sample values are gradually increased or decreased according to the time sequence;
in the N sample values, the values of all the sample values fluctuate back and forth according to the time sequence;
in M adjacent sample values of the N sample values, more than M/2 sample values belong to [ e, d ] or [ b, a ], wherein 1< M < N, M is a positive integer; wherein the number of workflows per period may be referred to as a sample value.
The terminal equipment can determine that the workload condition of the staff to be tested has a risk under the condition that the distribution of the work ticket quantity in each time period in the first threshold value interval is judged to accord with a preset first preset condition.
For example, if it is determined that the distribution of the one-time approval passing rate in the second threshold interval of each time period meets a preset second preset condition, the working quality condition has a risk; if the distribution of the total working duration of each time period in the third threshold interval is judged to accord with a preset third preset condition, the working efficiency condition has a risk; if the distribution of the overtime duration of each time period in the fourth threshold interval is judged to accord with a preset fourth preset condition, the working pressure condition has a risk; and if the distribution of the risk amount of each time period in the fifth threshold interval is judged to accord with a preset fifth preset condition, the personal safety condition has risk.
The judgment on whether the working quality condition, the working efficiency condition, the working pressure condition and the personal safety condition have risks or not can refer to the description on the judgment on whether the working load condition of the staff to be tested has risks or not, and is not described herein again.
Because in the historical data of the nuclear power plant, the number of the work tickets of the employees in a specific period, the work time, the one-time approval passing rate of the work tickets, the overtime time and the born risk amount all present normal distribution, wherein, the number of the work tickets of the employees in a specific time period, the work time, the one-time approval passing rate of the work tickets, the overtime time and the born risk amount are different from the respective corresponding historical average values, or the continuous increase, the reduction or the larger fluctuation can respectively indicate that the workload, the work quality, the work efficiency, the work pressure and the personal safety of the staff to be tested are in abnormal states, and further can indicate that the staff has potential risks, so that the data capture and analysis are carried out from multiple dimensions, the potential risk of staff can be monitored timely and efficiently, and the maintenance of the safe production operation of the nuclear power plant is facilitated.
In one possible implementation, the method may further include: and sending prompt information to the associated account under the condition that the potential risk of the staff to be tested is determined, wherein the prompt information is used for indicating that the potential risk of the staff to be tested exists.
For example, a manager may open an account and subscribe to a risk prompt of an employee under the account, and a terminal device may obtain subscription information corresponding to the employee when detecting that the employee has a potential risk, and send prompt information to a terminal device logged in by an associated account according to an account associated with the subscription information, where the prompt information may include items on which the employee has a risk, and the like, and is beneficial for the manager to know the potential risk of the employee in time.
Fig. 2 is a block diagram illustrating an employee behavior analysis apparatus according to an example embodiment. As shown in fig. 2, the apparatus may include:
the acquisition module 10 is used for acquiring the work data of the staff to be tested from the production management information system;
the first determining module 11 is configured to determine, according to the obtained work data, a workload condition, a work quality condition, a work efficiency condition, a work pressure condition, and a personal safety condition of the staff to be tested;
a judging module 12, configured to judge whether the workload condition, the work quality condition, the work efficiency, the work pressure condition, and the personal safety condition are at risk;
and the second determining module 13 is configured to determine that the staff to be tested has a potential risk when it is determined that any one or more of the workload condition, the work quality condition, the work efficiency, the work pressure condition, and the personal safety condition has a risk.
In one possible implementation manner, the obtaining module includes:
the acquisition submodule is used for acquiring the work ticket data and the attendance data of the staff to be detected in a plurality of time periods in a production management information system;
the first determining module includes:
the first determining submodule is used for taking the number of the work tickets held by the staff to be tested at each time interval as the work load condition of the staff to be tested;
the second determining submodule is used for taking the one-time approval passing rate of the work ticket submitted by the staff to be tested at each time interval as the working quality condition of the staff to be tested;
the third determining submodule is used for taking the total working time of the work ticket held by the staff to be tested at each time interval as the working efficiency condition of the staff to be tested;
the fourth determining submodule is used for taking the overtime duration of each time period of the staff to be tested as the working pressure condition of the staff to be tested;
and the fifth determining submodule is used for taking the risk amount born by the staff to be tested in each time period as the personal safety condition of the staff to be tested.
In one possible implementation manner, the determining module includes:
the first judgment submodule is used for determining that the workload condition has risks when the distribution of the number of the work tickets in each time period in the first threshold interval is judged to meet a preset first preset condition;
the second judgment submodule is used for determining that the working quality condition has risks when the distribution of the one-time approval passing rate of each time interval in the second threshold interval is judged to meet a preset second preset condition;
the third judgment submodule is used for determining that the working efficiency condition has a risk when the distribution of the total working duration of each time interval in a third threshold interval is judged to meet a preset third preset condition;
the fourth judgment submodule is used for determining that the working pressure condition has a risk when the distribution of the overtime duration of each time period in the fourth threshold interval is judged to meet a preset fourth preset condition;
and the fifth judgment submodule is used for determining that the personal safety condition has risks when the distribution of the risk amount of each time interval in the fifth threshold interval is judged to meet a preset fifth preset condition.
In one possible implementation, the apparatus further includes:
and the communication module is used for sending prompt information to the associated account under the condition that the potential risk of the staff to be tested is determined, wherein the prompt information is used for indicating that the potential risk of the staff to be tested exists.
Fig. 3 is a block diagram illustrating an employee behavior analysis apparatus according to an example embodiment. For example, the apparatus 1900 may be provided as a server. Referring to fig. 3, 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 (10)
1. An employee behavior analysis method, the method comprising:
acquiring the working data of the staff to be tested from the production management information system;
determining the working load condition, the working quality condition, the working efficiency condition, the working pressure condition and the personal safety condition of the staff to be tested according to the obtained working data;
judging whether the working load condition, the working quality condition, the working efficiency, the working pressure condition and the personal safety condition have risks or not;
and when the risk exists in any one or more of the workload condition, the working quality condition, the working efficiency, the working pressure condition and the personal safety condition, determining that the potential risk exists in the staff to be tested.
2. The method of claim 1, wherein obtaining the work data of the staff under test from the production management information system comprises:
acquiring work ticket data and attendance data of the staff to be tested in a plurality of time periods and each time period from a production management information system;
determining the working load condition, the working quality condition, the working efficiency condition, the working pressure condition and the personal safety condition of the staff to be tested according to the obtained working data, wherein the method comprises the following steps:
taking the number of the work tickets held by the staff to be tested at each time interval as the work load condition of the staff to be tested;
taking the one-time approval passing rate of the work ticket submitted by the staff to be tested at each time interval as the working quality condition of the staff to be tested;
taking the total working duration of the work ticket held by the staff to be tested at each time interval as the working efficiency condition of the staff to be tested;
taking the overtime duration of each time period of the staff to be tested as the working pressure condition of the staff to be tested;
and taking the risk amount born by the staff to be tested in each time period as the personal safety condition of the staff to be tested.
3. The method of claim 2, wherein determining whether the workload condition, the quality of work condition, the efficiency of work, the stress of work condition, and the personal safety condition are at risk comprises:
if the distribution of the number of the work tickets in each time period in the first threshold interval is judged to accord with a preset first preset condition, the workload condition has a risk;
if the distribution of the one-time approval passing rate of each time interval in the second threshold interval is judged to accord with a preset second preset condition, the working quality condition has a risk;
if the distribution of the total working duration of each time period in the third threshold interval is judged to accord with a preset third preset condition, the working efficiency condition has a risk;
if the distribution of the overtime duration of each time period in the fourth threshold interval is judged to accord with a preset fourth preset condition, the working pressure condition has a risk;
and if the distribution of the risk amount of each time period in the fifth threshold interval is judged to accord with a preset fifth preset condition, the personal safety condition has risk.
4. The method of claim 1, further comprising:
and sending prompt information to the associated account under the condition that the potential risk of the staff to be tested is determined, wherein the prompt information is used for indicating that the potential risk of the staff to be tested exists.
5. An employee behavior analysis apparatus, the apparatus comprising:
the acquisition module is used for acquiring the working data of the staff to be tested from the production management information system;
the first determining module is used for determining the working load condition, the working quality condition, the working efficiency condition, the working pressure condition and the personal safety condition of the staff to be tested according to the obtained working data;
the judging module is used for judging whether risks exist in the working load condition, the working quality condition, the working efficiency, the working pressure condition and the personal safety condition or not;
and the second determining module is used for determining that the staff to be tested has potential risks when the risks exist in any one or more conditions of the workload condition, the work quality condition, the work efficiency, the work pressure condition and the personal safety condition.
6. The apparatus of claim 5, wherein the obtaining module comprises:
the acquisition submodule is used for acquiring the work ticket data and the attendance data of the staff to be detected in a plurality of time periods in a production management information system;
the first determining module includes:
the first determining submodule is used for taking the number of the work tickets held by the staff to be tested at each time interval as the work load condition of the staff to be tested;
the second determining submodule is used for taking the one-time approval passing rate of the work ticket submitted by the staff to be tested at each time interval as the working quality condition of the staff to be tested;
the third determining submodule is used for taking the total working time of the work ticket held by the staff to be tested at each time interval as the working efficiency condition of the staff to be tested;
the fourth determining submodule is used for taking the overtime duration of each time period of the staff to be tested as the working pressure condition of the staff to be tested;
and the fifth determining submodule is used for taking the risk amount born by the staff to be tested in each time period as the personal safety condition of the staff to be tested.
7. The apparatus of claim 6, wherein the determining module comprises:
the first judgment submodule is used for determining that the workload condition has risks when the distribution of the number of the work tickets in each time period in the first threshold interval is judged to meet a preset first preset condition;
the second judgment submodule is used for determining that the working quality condition has risks when the distribution of the one-time approval passing rate of each time interval in the second threshold interval is judged to meet a preset second preset condition;
the third judgment submodule is used for determining that the working efficiency condition has a risk when the distribution of the total working duration of each time interval in a third threshold interval is judged to meet a preset third preset condition;
the fourth judgment submodule is used for determining that the working pressure condition has a risk when the distribution of the overtime duration of each time period in the fourth threshold interval is judged to meet a preset fourth preset condition;
and the fifth judgment submodule is used for determining that the personal safety condition has risks when the distribution of the risk amount of each time interval in the fifth threshold interval is judged to meet a preset fifth preset condition.
8. The apparatus of claim 5, further comprising:
and the communication module is used for sending prompt information to the associated account under the condition that the potential risk of the staff to be tested is determined, wherein the prompt information is used for indicating that the potential risk of the staff to be tested exists.
9. An employee behavior analysis 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 4.
10. 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 4.
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| CN202011191064.6A CN112348342A (en) | 2020-10-30 | 2020-10-30 | Employee behavior analysis method and device |
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| CN202011191064.6A CN112348342A (en) | 2020-10-30 | 2020-10-30 | Employee behavior analysis method and device |
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Application publication date: 20210209 |