CN116843145A - Team working history task description and team member self-adaptive matching dispatching method and system - Google Patents
Team working history task description and team member self-adaptive matching dispatching method and system Download PDFInfo
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- 238000007689 inspection Methods 0.000 claims description 16
- 238000005259 measurement Methods 0.000 claims description 16
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063112—Skill-based matching of a person or a group to a task
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention provides a team working history task description and executive self-adaptive matching dispatching method and system, wherein a personal capacity grade classification model of a distribution network operation and maintenance worker is established and is used for calculating the personal capacity grade of the distribution network operation and maintenance worker according to the post competence capacity of the distribution network operation and maintenance worker and historical working data; establishing a workflow task difficulty level classification model for calculating task difficulty levels of work tasks according to the work task data; matching and sequencing current staff and work tasks by using a personal capability grading model of a distribution network operation and maintenance staff and a workflow task difficulty grading model; and carrying out matching degree analysis on the work task matching on-duty distribution network operation and maintenance staff after sequencing based on the personal capability level and the task difficulty level, and carrying out automatic dispatching based on a matching result. The invention matches the processing difficulty of the work task with the capability of operation and maintenance personnel, and can better promote the processing efficiency of the work task.
Description
Technical Field
The invention belongs to the technical field of power grid production team management, and particularly relates to a team work history task description and team member self-adaptive matching dispatching method and system.
Background
Along with the continuous development and progress of social economy and cultural life, the dependence of cities on electric power is heavier and heavier, no electric power is supplied, the traffic, production and life of the whole city are paralyzed, and the electric power system is a man-machine-environment system, so that the work of the group staff of the power grid enterprises needs to be reasonably designed and distributed in order to ensure the stable operation of the electric power system.
Currently, work distribution mainly depends on subjective judgment of team management personnel, comprehensive multiparty factor consideration is needed, management personnel are required to be familiar with a management system, and skill levels and work experience of the team personnel are kept in mind. However, the working mode is extremely backward, the working efficiency is low, and a great deal of effort is consumed by management staff, so that the requirements of the current power system are difficult to adapt.
Disclosure of Invention
In view of this, the present invention aims to solve
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the invention provides an automatic dispatching method for self-adaptive matching of team work history task description and staff, comprising the following steps:
establishing a personal capacity grade classification model of the distribution network operation and maintenance staff, and calculating to obtain the personal capacity grade of the distribution network operation and maintenance staff according to the post competence capacity of the distribution network operation and maintenance staff and the historical working data;
establishing a workflow task difficulty level classification model for calculating task difficulty levels of work tasks according to the work task data;
matching and sequencing current staff and work tasks by using a personal capability grading model of a distribution network operation and maintenance staff and a workflow task difficulty grading model;
and carrying out matching degree analysis on the work task matching on-duty distribution network operation and maintenance staff after sequencing based on the personal capability level and the task difficulty level, and carrying out automatic dispatching based on a matching result.
Further, the step of calculating the personal ability level using the distribution network operation and maintenance staff personal ability level classification model includes:
the personal data of each distribution network operation and maintenance worker is obtained from the distribution network operation and maintenance worker post competence and the historical work database, wherein the personal data comprises the post competence rating, the historical work experience score, the familiarity degree of a certain work, the familiarity degree of a certain area, the working age and the age;
calculating the personal ability scores of different work tasks of the distribution network operation and maintenance staff according to the personal data;
grading the capacity of the distribution network operation and maintenance staff to process different work tasks according to the personal capacity scores of the different work tasks of the distribution network operation and maintenance staff, so as to obtain the personal capacity grade of the distribution network operation and maintenance staff to process the different work tasks; where, personal ability score = post competence score + experience score + familiarity with a work + familiarity with a block + working years-age, personal ability grades include high, medium, low and low.
Further, the work task includes:
10kV distribution line and equipment inspection, 10kV transformer insulation resistance and direct current resistance measurement, 10kV overhead line sag observation and inspection operation, 10kV overhead line infrared thermal imaging measurement, 10kV switch cabinet partial discharge test and 10kV cable line fault investigation.
Further, the method further comprises the following steps: and obtaining the familiarity of the distribution network operation and maintenance staff to equipment according to the times that the distribution network operation and maintenance staff performs the same work task in different areas.
Further, the step of calculating the task difficulty level by using the task difficulty level classification model includes:
working task data are obtained from a database of the power distribution network, wherein the working task data comprise task scores of 10kV distribution lines and equipment inspection, 10kV transformer insulation resistance and direct current resistance measurement, 10kV overhead line sag observation and inspection operation, 10kV overhead line infrared thermal imaging measurement, 10kV switch cabinet partial discharge test and 10kV cable line fault investigation and corresponding task difficulty coefficients;
calculating task difficulty scores for each task respectively;
task difficulty grade identification is carried out according to task difficulty scores of all tasks; the task difficulty level comprises a level I, a level II, a level III, a level IV and a level V.
Further, the sequenced work tasks are matched with the task difficulty level one by one according to the personal capability level of the operation and maintenance staff of the distribution network, and the specific steps comprise:
sequencing according to the time period or the working time length of the working tasks to obtain sequenced first matched execution tasks; if at least two tasks are included in the same time period, sequencing the first matched execution tasks according to the task difficulty level to obtain a sequenced second matched execution task; and matching the work tasks of the second matching execution task with the operation and maintenance staff of the distribution network according to the sequence.
Further, the work task matching distribution network operation and maintenance staff specifically comprises:
if the personal capability level of the matched distribution network operation and maintenance staff cannot reach the task execution difficulty level, matching the distribution network operation and maintenance staff with the work task according to the personal capability level of the distribution network operation and maintenance staff;
if the matching task difficulty level is the same and the personal capability level of at least 2 distribution network operation and maintenance staff is the same, the distribution network operation and maintenance staff is matched according to the priority of the distribution network operation and maintenance staff on the working familiarity;
if the personnel capability level of the matched distribution network operation and maintenance staff is lower than the task difficulty level of executing the task by two levels, the worker is reminded that the distribution staff has risks for the task related to the distribution network operation and maintenance staff of the work, and three levels of risks are provided.
In a second aspect, the present invention provides an automatic dispatch system for adaptive matching of team work history task descriptions and staff, comprising: a personal ability grade calculating module, a work task difficulty grade calculating module and a dispatching matching module;
the personal capability level calculating module is used for calculating the personal capability level of the distribution network operation and maintenance staff according to the data of the distribution network operation and maintenance staff;
the task difficulty level calculating module is used for calculating task difficulty levels of the work tasks according to the work task data;
the dispatching matching module is used for matching and sequencing the current executive and work tasks by utilizing the personal capacity grading model of the distribution network operation and maintenance staff and the work calendar task difficulty grading model; and carrying out matching degree analysis on the work task matching on-duty distribution network operation and maintenance staff after sequencing based on the personal capability level and the task difficulty level, and carrying out automatic dispatching based on a matching result.
Further, the step of calculating the personal ability level by the personal ability level classification model of the distribution network operation and maintenance staff includes:
the personal data of each distribution network operation and maintenance worker is obtained from the distribution network operation and maintenance worker post competence and the historical work database, wherein the personal data comprises the post competence rating, the historical work experience score, the familiarity degree of a certain work, the familiarity degree of a certain area, the working age and the age;
calculating the personal ability scores of different work tasks of the distribution network operation and maintenance staff according to the personal data;
grading the capacity of the distribution network operation and maintenance staff to process different work tasks according to the personal capacity scores of the different work tasks of the distribution network operation and maintenance staff, so as to obtain the personal capacity grade of the distribution network operation and maintenance staff to process the different work tasks; where, personal ability score = post competence score + experience score + familiarity with a work + familiarity with a block + working years-age, personal ability grades include high, medium, low and low.
In a third aspect, the present invention provides a computer device comprising a processor and a memory; a memory for storing program code and transmitting the program code to the processor; and the processor is used for executing the team work history task description and executive self-adaptive matching automatic dispatching method according to the instructions in the program codes.
In summary, the invention provides a team working history task description and executive self-adaptive matching dispatching method and system, which are used for calculating and obtaining the personal capability level of a distribution network operation and maintenance worker according to the post competence of the distribution network operation and maintenance worker and historical working data by establishing a distribution network operation and maintenance worker personal capability level dividing model; establishing a workflow task difficulty level classification model for calculating task difficulty levels of work tasks according to the work task data; matching and sequencing current staff and work tasks by using a personal capability grading model of a distribution network operation and maintenance staff and a workflow task difficulty grading model; and carrying out matching degree analysis on the work task matching on-duty distribution network operation and maintenance staff after sequencing based on the personal capability level and the task difficulty level, and carrying out automatic dispatching based on a matching result. The invention matches the processing difficulty of the work task with the capability of operation and maintenance personnel, and can better promote the processing efficiency of the work task.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a team working history task description and executive self-adaptive matching dispatching method provided by an embodiment of the invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only some embodiments of the present invention, not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an embodiment of the present invention provides a method for automatically dispatching task descriptions of team working history and adaptive matching of staff, comprising the following steps:
s1: and establishing a personal capacity grade classification model of the distribution network operation and maintenance staff, and calculating to obtain the personal capacity grade of the distribution network operation and maintenance staff according to the post competence capacity of the distribution network operation and maintenance staff and the historical working data.
It should be noted that, the personal capability class classification model of the distribution network operation and maintenance staff provides a basis for classifying the working capability of the distribution network operation and maintenance staff.
The step of calculating the personal ability level by using the distribution network operation and maintenance staff personal ability level dividing model comprises the following steps:
the personal data of each distribution network operation and maintenance worker is obtained from the distribution network operation and maintenance worker post competence and the historical work database, wherein the personal data comprises the post competence rating, the historical work experience score, the familiarity degree of a certain work, the familiarity degree of a certain area, the working age and the age;
calculating the personal ability scores of different work tasks of the distribution network operation and maintenance staff according to the personal data;
grading the capacity of the distribution network operation and maintenance staff to process different work tasks according to the personal capacity scores of the different work tasks of the distribution network operation and maintenance staff, so as to obtain the personal capacity grade of the distribution network operation and maintenance staff to process the different work tasks; wherein, personal ability score = post competence score + experience score + familiarity with a work + familiarity with a block + working years-age, personal ability grades include high, medium, low and low grades, corresponding to primary, medium, high, technician and advanced technician.
The work task may include: 10kV distribution line and equipment inspection, 10kV transformer insulation resistance and direct current resistance measurement, 10kV overhead line sag observation and inspection operation, 10kV overhead line infrared thermal imaging measurement, 10kV switch cabinet partial discharge test and 10kV cable line fault investigation.
Familiarity can be assessed by the number of contacts of the relevant person with the relevant content of a task. For example, the familiarity of the distribution network operation and maintenance staff with equipment can be obtained according to the times that the distribution network operation and maintenance staff performs the same work task in different areas.
S2: and establishing a workflow task difficulty level classification model for calculating task difficulty levels of the work tasks according to the work task data.
It should be noted that, the same principle of the classification model of the task difficulty level of the working history can be used as the basis for classifying the task difficulty of the working.
The step of calculating the task difficulty level by using the task difficulty level classification model comprises the following steps: working task data are obtained from a database of the power distribution network, wherein the working task data comprise task scores of 10kV distribution lines and equipment inspection, 10kV transformer insulation resistance and direct current resistance measurement, 10kV overhead line sag observation and inspection operation, 10kV overhead line infrared thermal imaging measurement, 10kV switch cabinet partial discharge test and 10kV cable line fault investigation and corresponding task difficulty coefficients; calculating task difficulty scores for inspection of 10kV distribution lines and equipment, measurement of insulation resistance and direct current resistance of a 10kV transformer, sag observation and inspection operation of a 10kV overhead line, infrared thermal imaging measurement of the 10kV overhead line, partial discharge test of a 10kV switch cabinet and fault detection of the 10kV cable line; task difficulty grade identification corresponding to task difficulty scores of 10kV distribution line and equipment inspection, 10kV transformer insulation resistance and direct current resistance measurement, 10kV overhead line sag observation and inspection operation, 10kV overhead line infrared thermal imaging measurement, 10kV switch cabinet partial discharge test and 10kV cable line fault investigation is carried out; the task difficulty level comprises a level I, a level II, a level III, a level IV and a level V.
S3: and matching and sequencing the current staff and the work task by using a personal capability grading model and a work calendar task difficulty grading model of the distribution network operation and maintenance staff.
S4: and carrying out matching degree analysis on the work task matching on-duty distribution network operation and maintenance staff after sequencing based on the personal capability level and the task difficulty level, and carrying out automatic dispatching based on a matching result.
The method is characterized in that the sequenced work tasks are matched with the task difficulty level one by one according to the personal capability level of the operation and maintenance staff of the distribution network, and the specific steps comprise: sequencing according to the time period or the working time length of the working tasks to obtain sequenced first matched execution tasks; if at least two tasks are included in the same time period or time, sequencing the first matched execution tasks according to the task difficulty level to obtain a sequenced second matched execution task; and matching the work tasks of the second matching execution task with the operation and maintenance staff of the distribution network according to the sequence.
Matching network distribution staff for the matched work tasks, which comprises the following steps:
if the personal capability level of the matched distribution network operation and maintenance staff cannot reach the task execution difficulty level, matching the distribution network operation and maintenance staff with the work task according to the personal capability level of the distribution network operation and maintenance staff;
if the matching task difficulty level is the same and the personal capability level of at least 2 distribution network operation and maintenance staff is the same, the distribution network operation and maintenance staff is matched according to the priority of the distribution network operation and maintenance staff on the working familiarity;
if the personnel capability level of the matched distribution network operation and maintenance staff is lower than the task difficulty level of executing the task by two levels, the worker is reminded that the distribution staff has risks for the task related to the distribution network operation and maintenance staff of the work, and three levels of risks are provided.
The embodiment provides a team working history task description and executive self-adaptive matching dispatching method, which is used for obtaining the personal capability level of a distribution network operation and maintenance worker according to the post competence of the distribution network operation and maintenance worker and historical working data by establishing a distribution network operation and maintenance worker personal capability level division model; establishing a workflow task difficulty level classification model for calculating task difficulty levels of work tasks according to the work task data; matching and sequencing current staff and work tasks by using a personal capability grading model of a distribution network operation and maintenance staff and a workflow task difficulty grading model; and carrying out matching degree analysis on the work task matching on-duty distribution network operation and maintenance staff after sequencing based on the personal capability level and the task difficulty level, and carrying out automatic dispatching based on a matching result. The invention matches the processing difficulty of the work task with the capability of operation and maintenance personnel, and can better promote the processing efficiency of the work task.
The foregoing is a detailed description of an embodiment of a team working calendar task description and executive self-adaptive matching dispatching method of the present invention, and the following is a detailed description of an embodiment of a team working calendar task description and executive self-adaptive matching dispatching system and related equipment of the present invention.
The embodiment provides an automatic dispatch system for team working history task description and executive self-adaption matching, which comprises the following components: a personal ability grade calculating module, a work task difficulty grade calculating module and a dispatching matching module;
the personal capability level calculating module is used for calculating the personal capability level of the distribution network operation and maintenance staff according to the data of the distribution network operation and maintenance staff;
the task difficulty level calculating module is used for calculating task difficulty levels of the work tasks according to the work task data;
the dispatching matching module is used for matching and sequencing the current executive and work tasks by utilizing the personal capacity grading model of the distribution network operation and maintenance staff and the work calendar task difficulty grading model; and carrying out matching degree analysis on the work task matching on-duty distribution network operation and maintenance staff after sequencing based on the personal capability level and the task difficulty level, and carrying out automatic dispatching based on a matching result.
Further, the step of calculating the personal ability level by the personal ability level classification model of the distribution network operation and maintenance staff includes:
the personal data of each distribution network operation and maintenance worker is obtained from the distribution network operation and maintenance worker post competence and the historical work database, wherein the personal data comprises the post competence rating, the historical work experience score, the familiarity degree of a certain work, the familiarity degree of a certain area, the working age and the age;
calculating the personal ability scores of different work tasks of the distribution network operation and maintenance staff according to the personal data;
grading the capacity of the distribution network operation and maintenance staff to process different work tasks according to the personal capacity scores of the different work tasks of the distribution network operation and maintenance staff, so as to obtain the personal capacity grade of the distribution network operation and maintenance staff to process the different work tasks; where, personal ability score = post competence score + experience score + familiarity with a work + familiarity with a block + working years-age, personal ability grades include high, medium, low and low.
It should be noted that, the dispatching system provided in this embodiment is used to implement the dispatching method provided in the foregoing embodiment, and specific setting of each unit is based on complete implementation of the method, which is not described herein again.
Another embodiment of the present invention provides a computer device comprising a processor and a memory; a memory for storing program code and transmitting the program code to the processor; and the processor is used for executing the automatic dispatching method for the self-adaptive matching of the team work history task description and the executive according to the instructions in the program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The team work history task description and executive self-adaptive matching dispatching method is characterized by comprising the following steps of:
establishing a personal capacity grade classification model of the distribution network operation and maintenance staff, and calculating to obtain the personal capacity grade of the distribution network operation and maintenance staff according to the post competence capacity of the distribution network operation and maintenance staff and the historical working data;
establishing a workflow task difficulty level classification model for calculating task difficulty levels of work tasks according to the work task data;
matching and sequencing current staff and work tasks by using the personal capability grading model of the distribution network operation staff and the work calendar task difficulty grading model;
and carrying out matching degree analysis on the operation and maintenance staff of the on-duty distribution network matched with the sequenced work tasks based on the personal capability level and the task difficulty level, and carrying out automatic dispatching based on a matching result.
2. The team working calendar task description and executive self-adaptive matching dispatch method of claim 1, wherein the step of calculating personal capability level using the distribution network operation and maintenance staff personal capability level classification model comprises:
acquiring personal data of each distribution network operation and maintenance worker from the distribution network operation and maintenance worker post competence and a historical work database, wherein the personal data comprises the grade of the post competence, the experience score of the historical work, the familiarity degree of a certain area, the working age and the age;
calculating the personal ability scores of different work tasks of the distribution network operation and maintenance staff according to the personal data;
grading the capacity of the distribution network operation and maintenance staff to process different work tasks according to the personal capacity scores of the different work tasks of the distribution network operation and maintenance staff, and obtaining the personal capacity grade of the distribution network operation and maintenance staff to process the different work tasks; wherein the personal ability score = post competence score + experience score + familiarity with a work + familiarity with a block + working years-age, the personal ability ratings include high, medium, low and low.
3. The team working calendar task description and executive self-adaptive matching dispatch method of claim 2, wherein the working task comprises:
10k V distribution lines and equipment inspection, 10kV transformer insulation resistance and direct current resistance measurement, 10kV overhead line sag observation and inspection operation, 10kV overhead line infrared thermal imaging measurement, 10kV switch cabinet partial discharge test and 10kV cable line fault investigation.
4. The team working calendar task description and executive self-adaptive matching dispatch method of claim 2, further comprising: and obtaining the familiarity of the distribution network operation and maintenance staff to equipment according to the times that the distribution network operation and maintenance staff performs the same work task in different areas.
5. The team working calendar task description and executive self-adaptive matching dispatch method of claim 1, wherein the step of calculating a working task difficulty level using the task difficulty level classification model comprises:
the working task data are obtained from a database of a power distribution network, and comprise task scores of 10kV distribution lines and equipment inspection, 10kV transformer insulation resistance and direct current resistance measurement, 10kV overhead line sag observation and inspection operation, 10kV overhead line infrared thermal imaging measurement, 10kV switch cabinet partial discharge test and 10kV cable line fault investigation and corresponding task difficulty coefficients;
calculating task difficulty scores for each task respectively;
task difficulty grade identification is carried out according to the task difficulty scores of the tasks; the task difficulty level comprises a level I, a level II, a level III, a level IV and a level V.
6. The team working calendar task description and executive self-adaptive matching dispatching method according to claim 1, wherein the sequenced working tasks are matched with task difficulty level one by one according to personal capability level of operation and maintenance staff of a distribution network, and the specific steps comprise:
sequencing according to the time period or the working time length of the working tasks to obtain sequenced first matched execution tasks; if at least two tasks are included in the same time period, sequencing the first matched execution tasks according to the task difficulty level to obtain a sequenced second matched execution task; and matching the work tasks of the second matching execution task with the network operation and maintenance staff according to the sequence.
7. The method for adaptive matching task descriptions and staff for teams and groups according to claim 6, wherein the matching network operation and maintenance staff for the tasks specifically comprises:
if the personal capability level of the matched distribution network operation and maintenance staff cannot reach the task execution difficulty level, matching the distribution network operation and maintenance staff with the work task according to the personal capability level of the distribution network operation and maintenance staff;
if the matching task difficulty level is the same and the personal capability level of at least 2 distribution network operation and maintenance staff is the same, the distribution network operation and maintenance staff is matched according to the priority of the distribution network operation and maintenance staff on the working familiarity;
if the personnel capability level of the matched distribution network operation and maintenance staff is lower than the task difficulty level of executing the task by two levels, the worker is reminded that the distribution staff has risks for the task related to the distribution network operation and maintenance staff of the work, and three levels of risks are provided.
8. The team work history task description and executive self-adaptive matching dispatching system is characterized by comprising: a personal ability grade calculating module, a work task difficulty grade calculating module and a dispatching matching module;
the personal capability level calculating module is used for calculating the personal capability level of the distribution network operation and maintenance staff according to the data of the distribution network operation and maintenance staff;
the task difficulty level calculating module is used for calculating task difficulty levels of work tasks according to the work task data;
the dispatching matching module is used for matching and sequencing the current executive and work tasks by utilizing the personal capability grading model of the distribution network operation and maintenance staff and the work calendar task difficulty grading model; and carrying out matching degree analysis on the operation and maintenance staff of the on-duty distribution network matched with the sequenced work tasks based on the personal capability level and the task difficulty level, and carrying out automatic dispatching based on a matching result.
9. The team working calendar task description and executive self-adapting matching dispatch system of claim 8, wherein the step of calculating personal capability level by the distribution network operation and maintenance staff personal capability level classification model comprises:
acquiring personal data of each distribution network operation and maintenance worker from the distribution network operation and maintenance worker post competence and a historical work database, wherein the personal data comprises the grade of the post competence, the experience score of the historical work, the familiarity degree of a certain area, the working age and the age;
calculating the personal ability scores of different work tasks of the distribution network operation and maintenance staff according to the personal data;
grading the capacity of the distribution network operation and maintenance staff to process different work tasks according to the personal capacity scores of the different work tasks of the distribution network operation and maintenance staff, and obtaining the personal capacity grade of the distribution network operation and maintenance staff to process the different work tasks; wherein the personal ability score = post competence score + experience score + familiarity with a work + familiarity with a block + working years-age, the personal ability ratings include high, medium, low and low.
10. A computer device comprising a processor and a memory; the memory is used for storing program codes and transmitting the program codes to the processor; the processor is configured to execute the team working calendar task description and executive self-adaptive matching dispatching method according to the instructions in the program code.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117132171A (en) * | 2023-10-26 | 2023-11-28 | 江苏工小兔信息科技有限公司 | Automatic office information management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117132171A (en) * | 2023-10-26 | 2023-11-28 | 江苏工小兔信息科技有限公司 | Automatic office information management system |
| CN117132171B (en) * | 2023-10-26 | 2024-01-02 | 江苏工小兔信息科技有限公司 | Automatic office information management system |
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