Measurement production scheduling method and system for power equipment

Abstract

The invention provides a metering production scheduling method and system for power equipment, and the method comprises the steps: obtaining the metering production information of the power equipment, carrying out the matching degree evaluation of a metering worker and a metering task, obtaining a matching degree evaluation value of the metering worker and the metering task, and carrying out the task matching management of the metering worker and the metering task through a first preset algorithm. And obtaining a task allocation result so as to schedule measurement production. According to the invention, the problem of poor reliability of metering production scheduling caused by incapability of accurately evaluating the matching degree between metering personnel and metering tasks due to lack of accurate data basis of production scheduling and task allocation depending on subjective judgment in the prior art is solved. According to the method, the matching degree of the metering personnel and the metering task is evaluated and managed by acquiring the metering production information, so that the matching accuracy of the metering personnel and the metering task is improved, and the metering production scheduling reliability is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of metering production management, and in particular to a metering production scheduling method and system for electric power equipment. Background Art

[0002] In the process of power equipment metering production scheduling, due to the lack of accurate data collection tools, the detailed information on the metering production of various types of power equipment is neither comprehensive nor accurate. Key information such as the specific requirements of metering tasks and the professional skills level and number of metering personnel are all vague. This incomplete information directly weakens the data support for production scheduling, which can easily lead to chaos and low efficiency in the production process. On the other hand, in the task allocation link, the traditional model often lacks scientificity and rationality, and may rely too much on subjective assumptions to assign tasks, making it difficult to accurately measure the degree of fit between metering personnel and metering tasks, thus failing to achieve optimal resource deployment. When faced with a situation where one person needs to handle multiple tasks or multiple people share a task, the traditional model often finds it difficult to make wise decisions, which may not only lead to delays in the processing of urgent, complex and critical tasks, but also cause a series of problems such as excessive workload for metering personnel and unnecessary consumption of resources.

[0003] At present, the existing technology mainly relies on subjective judgment to allocate tasks, which is unable to accurately evaluate the matching degree between metrological personnel and metrological tasks, making it difficult to achieve the optimal allocation of resources, resulting in poor reliability of metrological production scheduling. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a metering production scheduling method and system for power equipment, which obtains metering production information to evaluate and manage the matching degree between metering personnel and metering tasks, thereby improving the matching accuracy between metering personnel and metering tasks, and further improving the reliability of metering production scheduling.

[0005] To achieve the above object, an embodiment of the present invention provides a method for metering production scheduling of electric power equipment, comprising:

[0006] Obtain metering production information of power equipment;

[0007] Based on the metering production information of the electric power equipment, a matching degree evaluation is performed on the metering personnel and the metering task to obtain a matching degree evaluation value of the metering personnel and the metering task;

[0008] Based on the evaluation value of the matching degree between the metrology personnel and the metrology tasks, task matching management is performed on the metrology personnel and the metrology tasks through a first preset algorithm to obtain a task allocation result;

[0009] Based on the task allocation result, the metering production is scheduled.

[0010] Furthermore, the obtaining of metering production information of electric power equipment includes:

[0011] Based on the preset database, obtain various types of metering tasks and all metering personnel of power equipment;

[0012] Match the personnel requirements for various types of measurement tasks to obtain the corresponding personnel requirements for each type of measurement task;

[0013] Match the skill requirements of various types of metrology tasks to obtain the required skills corresponding to each type of metrology task;

[0014] Based on the personnel demand corresponding to each type of measurement task and the required skills corresponding to each type of measurement task, a personnel demand index is obtained;

[0015] Conduct skill analysis on each metrologist to obtain the skills and skill levels of each metrologist.

[0016] Furthermore, based on the metering production information of the electric power equipment, a matching evaluation is performed on the metering personnel and the metering task to obtain a matching evaluation value of the metering personnel and the metering task, including:

[0017] Obtain the required skills corresponding to the measurement tasks and build the required skill set;

[0018] Obtain the skills and skill levels of metrologists and build a skill set;

[0019] Intersecting the required skill set and the possessed skill set to obtain an intersecting skill set;

[0020] calculating a skill gap based on the intersecting skill sets;

[0021] Extract the skill difference with a positive value, and obtain the number of skills corresponding to the skill difference with a positive value;

[0022] Based on the number of skills corresponding to the skill difference whose value is a positive number, the matching degree of the metrological personnel and the metrological task is evaluated to obtain the matching degree evaluation value of the metrological personnel and the metrological task.

[0023] Further, based on the intersecting skill sets, calculating the skill difference includes:

[0024] Obtain the skill level corresponding to each skill in the intersecting skill set from the possessed skill set;

[0025] Obtain the skill demand index corresponding to each skill in the intersecting skill set from the demand skill set;

[0026] The difference between the skill level corresponding to each skill in the intersecting skill set and the skill demand index corresponding to each skill in the intersecting skill set is calculated to obtain the skill difference.

[0027] Furthermore, the matching degree of the metrology personnel and the metrology task is evaluated based on the number of skills corresponding to the skill difference whose value is a positive number, and the matching degree evaluation value of the metrology personnel and the metrology task is obtained, including:

[0028] Count all skills in the required skill set to get the total number of required skills;

[0029] The matching evaluation value between the metrology task and the metrology personnel is calculated based on the total number of required skills, the number of skills in the intersecting skill sets, and the number of skills corresponding to the positive skill difference.

[0030] Further, based on the evaluation value of the matching degree between the metrology personnel and the metrology task, task matching management is performed on the metrology personnel and the metrology task through a first preset algorithm to obtain a task allocation result, including:

[0031] Obtain the matching evaluation value between metrological tasks and metrological personnel;

[0032] Sorting the matching evaluation values ​​of the metrology tasks and metrology personnel from high to low to obtain matching evaluation value arrangement data;

[0033] The data is arranged based on the matching evaluation value, and the measurement tasks and measurement personnel with the highest matching evaluation value are matched to obtain the task allocation result.

[0034] Further, scheduling the metrology production based on the task allocation result includes:

[0035] When multiple measurement tasks match one measurement personnel, the measurement tasks are prioritized and the scheduling priority of the measurement tasks is obtained;

[0036] When multiple metering personnel match one metering task, the metering personnel are prioritized and scheduled;

[0037] Based on the task scheduling priority and the metrology personnel priority, the metrology production is scheduled.

[0038] Furthermore, when multiple metering tasks match one metering personnel, the metering tasks are analyzed for priority to obtain the scheduling priority of the metering tasks, including:

[0039] Obtain the task deadline, task complexity and importance of each measurement task;

[0040] Sort the task deadlines of each metering task, calculate the time intervals between metering tasks with adjacent deadlines, calculate the average of all time intervals, and obtain the time interval analysis value;

[0041] Counting the time intervals between the deadlines of each metering task and the first preset time node, obtaining the two groups of interval durations with the largest and smallest time interval values, calculating the average of the two groups of interval durations, and obtaining a period analysis value;

[0042] Based on the time interval analysis value and the cycle analysis value, the task cycle weight value is obtained;

[0043] Multiplying the deadline of each metering task and the time interval of each metering task relative to the first preset time node by the task cycle weight value to obtain the urgency of each metering task;

[0044] Based on the urgency, complexity and importance of each metering task, the scheduling priority of the metering task is obtained.

[0045] Furthermore, when multiple metrology personnel match one metrology task, the metrology personnel are prioritized and the priorities of the metrology personnel are obtained, including:

[0046] Obtain the skill set of each metrologist, and calculate the number of skills, the corresponding skill level, and the skill demand index of the intersection of the skill set and the required skill set of the metrology task;

[0047] Based on the number of skills, corresponding skill levels and skill demand indexes at the intersection of the skill set and the required skill set of the measurement task, the absolute value of the difference between the skill level and the skill demand index of each identical skill is calculated;

[0048] Calculate the average of the absolute values ​​of the differences of the same skills to obtain the skill fit;

[0049] Calculate the load index of each metering personnel based on the workload of each metering personnel at the second preset time node and the preset maximum workload;

[0050] Obtain the priority of metering personnel based on the skill match and load indicators of each metering personnel.

[0051] The embodiment of the present invention also provides a metering production scheduling system for electric power equipment, including: an information acquisition module, a matching evaluation module, a task matching management module and a metering production scheduling module;

[0052] The information acquisition module is used to acquire the metering production information of the power equipment;

[0053] The matching evaluation module is used to evaluate the matching between the metering personnel and the metering task based on the metering production information of the power equipment, and obtain the matching evaluation value between the metering personnel and the metering task;

[0054] The task matching management module is used to perform task matching management on the metrology personnel and the metrology tasks through a first preset algorithm based on the metrology personnel and the metrology task matching evaluation value to obtain a task allocation result;

[0055] The metrology production scheduling module is used to schedule metrology production based on the task allocation result.

[0056] Beneficial effects:

[0057] (1) According to the metering production information of power equipment, the matching degree between metering tasks and metering personnel is accurately analyzed, and the matching degree between the metering personnel's skills and the skills required for metering tasks is comprehensively considered, so as to provide a scientific basis for reasonable allocation, improve the accuracy of metering production task scheduling, assign metering tasks to appropriate metering personnel for execution, and improve the quality of metering production;

[0058] (2) Priority analysis is conducted on multiple tasks assigned to one person and multiple tasks assigned to one task. By analyzing the task deadline, task complexity, and importance, it is ensured that key tasks can be executed in a timely manner, thereby improving the timeliness of the overall metrology production and the completion rate of important tasks, and avoiding delays in task execution and waste of resources due to task backlogs or unreasonable allocation. It is also conducted by analyzing the current workload of metrology personnel, their existing skill sets, and the required skill sets of metrology tasks to ensure that tasks are allocated to personnel with more matching skills and relatively reasonable workloads, thereby improving the execution efficiency and quality of metrology tasks, ensuring the work enthusiasm and sustainability of metrology personnel, and thus improving the reliability of metrology production task scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A schematic flow chart of the steps of a method for metering production scheduling of electric power equipment provided by a certain embodiment of the present invention;

[0060] Figure 2 A schematic flow chart of the task priority calculation steps of a method for metering production scheduling of electric power equipment provided in one embodiment of the present invention;

[0061] Figure 3 A schematic flow chart of personnel priority calculation steps of a method for metering production scheduling of electric power equipment provided in one embodiment of the present invention;

[0062] Figure 4 A schematic diagram of the module structure of a metering production scheduling system for electric power equipment provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] Example 1

[0065] See also Figure 1 , Figure 1 A schematic diagram of the steps of a method for metering production scheduling of electric power equipment provided by an embodiment of the present invention. Figure 1 As shown, the embodiment of the present invention provides a method for metering production scheduling of electric power equipment, including steps 101 to 104, each step is specifically as follows:

[0066] Step 101, obtaining metering production information of power equipment;

[0067] As an example of this embodiment, based on a preset database, various types of metering tasks and all metering personnel of power equipment are obtained; personnel demand matching is performed for various types of metering tasks to obtain the personnel demand corresponding to each type of metering task; skill demand matching is performed for various types of metering tasks to obtain the required skills corresponding to each type of metering task; based on the personnel demand corresponding to each type of metering task and the required skills corresponding to each type of metering task, a personnel demand index is obtained; skill analysis is performed on each metering personnel to obtain the skills and skill levels of each metering personnel.

[0068] A specific implementation method is to collect and organize the metering task information of various types of power equipment, including task type, task volume and task cycle, etc., and enter this information into a database to form a power equipment metering task database, which is continuously updated; collect personal information of metering personnel, such as name, age and work experience, and record the professional skills, skill level and training experience of metering personnel, and enter this information into a database to form a metering personnel database, which is continuously updated; according to the power equipment metering task database, analyze the characteristics and requirements of various types of metering tasks, and determine the corresponding tasks of various types of metering tasks in combination with the number and work ability of metering personnel. The personnel demand can be predicted and calculated by ratio analysis and trend analysis. According to the characteristics and requirements of various measurement tasks, the required skill types and skill levels are analyzed, and the analyzed skill requirements and skill levels are entered into the database to obtain the required skills corresponding to various measurement tasks. According to the personnel demand and required skills for various measurement tasks, combined with factors such as the number and skill level of measurement personnel, the personnel demand index is calculated, which can be calculated by weighted average, index calculation and other methods. The skill information of measurement personnel is extracted from the measurement personnel database, and the skill level of measurement personnel is evaluated and analyzed to obtain the skills and skill levels of each measurement personnel.

[0069] Step 102, based on the metering production information of the electric power equipment, a matching degree evaluation is performed on the metering personnel and the metering task to obtain a matching degree evaluation value of the metering personnel and the metering task;

[0070] As an example of this embodiment, the required skills corresponding to the measurement task are obtained to construct a required skill set; the possessed skills and skill levels of the measurement personnel are obtained to construct a possessed skill set; the required skill set and the possessed skill set are intersected to obtain an intersecting skill set; based on the intersecting skill set, the skill difference is calculated; the skill difference with a positive value is extracted to obtain the number of skills corresponding to the positive skill difference; based on the number of skills corresponding to the positive skill difference, the matching degree of the measurement personnel and the measurement task is evaluated to obtain the matching degree evaluation value of the measurement personnel and the measurement task. Specifically, the skill level corresponding to each skill of the intersecting skill set is obtained from the possessed skill set; the skill demand index corresponding to each skill of the intersecting skill set is obtained from the required skill set; the difference between the skill level corresponding to each skill of the intersecting skill set and the skill demand index corresponding to each skill of the intersecting skill set is calculated to obtain the skill difference. All skills of the required skill set are counted to obtain the total number of required skills; based on the total number of required skills, the number of skills of the intersecting skill set and the number of skills corresponding to the positive skill difference, the matching degree evaluation value of the measurement task and the measurement personnel is calculated.

[0071] A specific implementation method is to select a measurement task and a measurement personnel as an example among several measurement tasks and measurement personnel, extract the required skills and skill requirement index corresponding to the measurement task, and construct a required skill set, where the required skill set ∈ [(skill 1, requirement index 1), (skill 2, requirement index 2), ...]; extract the corresponding skills and skill levels of the measurement personnel, and construct a possessed skill set, where the possessed skill set ∈ [(skill 1, skill level 1), (skill 2, skill level 2), ...]; through the intersection algorithm, count the skills of the intersection of the possessed skill set and the required skill set, and count the number of skills in the intersection, and mark them at the same time. Denoted as N1; according to all the skills in the intersection, the skill level of the corresponding skill is obtained from the possessed skill set, and the skill demand index of the corresponding skill is obtained from the required skill set; the skill difference between the skill level and the skill demand index corresponding to each identical skill is calculated, and the calculation formula is as follows: skill difference = skill level - skill demand index; extract all skill differences with positive values, and mark them as Cj, where j = 1, 2, ... N2, and N2 is the number of skills corresponding to the skill difference with positive values, count the number of all skills in the required skill set, and mark it as M; calculate the matching evaluation value K between the measurement task and the measurement personnel, and the calculation formula is as follows:

[0072]

[0073] In the formula, β1, β2 and β3 are the corresponding preset weight coefficients. It is worth mentioning that the closer the average value of all skill differences with positive values ​​is to 0, the higher the matching evaluation value between the measurement task and the measurement personnel is.

[0074] Step 103, based on the evaluation value of the matching degree between the metrology personnel and the metrology task, performing task matching management on the metrology personnel and the metrology task through a first preset algorithm to obtain a task allocation result;

[0075] As an example of this embodiment, the matching evaluation values ​​of the metrology tasks and metrology personnel are obtained; the matching evaluation values ​​of the metrology tasks and metrology personnel are sorted from high to low to obtain matching evaluation value arrangement data; based on the matching evaluation value arrangement data, the metrology tasks and metrology personnel with the highest matching evaluation values ​​are matched to obtain the task allocation result. Specifically, in the order of matching evaluation values ​​from high to low (relative to the first preset algorithm), the metrology tasks and metrology personnel with the highest matching evaluation values ​​are preferentially matched and confirmed.

[0076] Step 104: scheduling the metrology production based on the task allocation result.

[0077] As an example of this embodiment, when multiple metrology tasks match one metrology personnel, the priority of the metrology tasks is analyzed to obtain the scheduling priority of the metrology tasks; when multiple metrology personnel match one metrology task, the priority of the metrology personnel is analyzed to schedule the metrology personnel priority; based on the task scheduling priority and the metrology personnel priority, the metrology production is scheduled.

[0078] As an example of this embodiment. Figure 2 , Figure 2 A flowchart of the task priority calculation steps of a method for metering production scheduling of electric power equipment provided by a certain embodiment of the present invention; Figure 2 As shown, Step K.1: obtain the task deadline, task complexity and importance of each metering task; sort the task deadline of each metering task, calculate the time interval between metering tasks with adjacent deadlines, calculate the average of all time intervals, and obtain the time interval analysis value; specifically, the task deadline is pre-defined data; the task complexity and importance are obtained by relevant personnel assigning degrees based on their experience; the task complexity and importance of each metering task are integer values ​​between 20 and 100, and the larger the value, the higher the corresponding task complexity or importance; among multiple metering tasks, sort the task deadlines of each metering task according to the time trend, and then calculate the time interval value between the deadlines of each adjacent task, and then calculate the average of all time interval values, and mark it as the interval analysis value;

[0079] Step K.2: Count the time intervals between the deadlines of each metering task and the first preset time node, obtain the two groups of interval durations with the largest and smallest time interval values, calculate the average of the two groups of interval durations, and obtain the period analysis value; specifically, according to the current time node (relative to the first preset time node), count the intervals between the task deadlines of each metering task and the current time node, then obtain the group of interval durations with the largest and smallest values, then calculate their average value, and mark them as the period analysis value;

[0080] Step K.3: Based on the time interval analysis value and the cycle analysis value, obtain the task cycle weight value; respectively multiply the deadline of each metering task and the time interval of each metering task relative to the first preset time node by the task cycle weight value to obtain the urgency of each metering task; specifically, calculate the task cycle weight value by dividing the interval analysis value by the cycle analysis value, and then multiply the interval duration between the task deadline of each metering task and the current time node (relative to the first preset time node) by the task cycle weight value to calculate the urgency of each metering task;

[0081] Step K.4: Based on the urgency, complexity and importance of each metering task, obtain the scheduling priority of the metering task. Specifically, extract the urgency, complexity and importance of each metering task; calculate the task priority R of the relevant metering task, and the calculation formula is as follows:

[0082] R=J×α1+F×α2+Z×α3

[0083] Where J is the urgency of the relevant measurement task, F is the task complexity of the relevant measurement task, Z is the importance of the relevant measurement task, and α1, α2 and α3 are the corresponding preset weight factors;

[0084] Finally, through Step K.1 to Step K.4, the task priority of each measurement task is calculated.

[0085] As an example of this embodiment, see Figure 3 , Figure 3 A flowchart of personnel priority calculation steps of a method for metering production scheduling of electric power equipment provided by an embodiment of the present invention; Figure 3 As shown,

[0086] Step L.1: Obtain the skill set of each metrologist, calculate the number of skills, corresponding skill levels and skill demand index of the intersection of the skill set and the required skill set of the metrology task; specifically, select a metrologist, and use the intersection algorithm to count the skills of the intersection of the skill set of the metrologist and the required skill set of the metrology task; at the same time, according to all the skills of the intersection, obtain the skill level of the corresponding skill from the skill set, and at the same time obtain the skill demand index of the corresponding skill from the required skill set;

[0087] Step L.2: Based on the number of skills in the intersection of the skill set and the skill set required for the metrology task, the corresponding skill level and the skill demand index, calculate the absolute value of the difference between the skill level and the skill demand index of each identical skill; calculate the average of the absolute values ​​of the difference of each identical skill to obtain the skill matching degree; specifically, calculate the absolute value of the difference between the skill level and the skill demand index corresponding to each identical skill; then calculate the average of the absolute values ​​of the difference corresponding to all identical skills to obtain the skill matching degree, wherein the smaller the value of the skill matching degree is, the higher the matching degree between the metrology personnel and the corresponding metrology task is;

[0088] Step L.3: Based on the workload of each metering personnel at the second preset time node and the preset maximum workload, calculate the load index of each metering personnel; specifically, obtain the current (relative to the second preset time node) workload of each metering personnel, wherein the current (relative to the second preset time node) workload refers to the continuous working time of the metering personnel; and obtain the preset maximum workload; wherein the maximum workload refers to the longest working time allowed for the metering personnel to work continuously; calculate the load index of each personnel by dividing the current (relative to the second preset time node) workload by the maximum workload; wherein, the smaller the value of the load index, the higher the matching degree between the metering personnel and the corresponding metering task;

[0089] Step L.4: Based on the skill matching and load index of each metering personnel, obtain the metering personnel priority. Specifically, through the above steps, obtain the skill matching and load index of the selected metering personnel, multiply the skill matching and load index of the metering personnel by the corresponding preset weight factor, and then calculate the sum, and then use the inverse of the result as the personnel priority of the metering personnel; calculate the personnel priority Y of the relevant metering personnel, the specific formula is as follows:

[0090]

[0091] Among them, W is the skill matching degree of the relevant measurement personnel, H is the load index of the relevant measurement personnel, and α4 and α5 are the corresponding preset weight factors;

[0092] Finally, through Step L.1 to Step L.4, the personnel priority of each measurement personnel is calculated.

[0093] The embodiment of the present invention proposes a metering production scheduling method for electric power equipment. According to the metering production information of the electric power equipment, the matching degree between the metering task and the metering personnel is accurately analyzed, and the matching degree between the metering personnel's skills and the skills required for the metering task is comprehensively considered, so as to provide a scientific basis for reasonable allocation, improve the accuracy of metering production task scheduling, and allocate the metering task to suitable metering personnel for execution, thereby improving the quality of metering production; priority analysis is performed on multiple tasks corresponding to one person and multiple people corresponding to one task, and by analyzing the task deadline, task complexity and importance, it is ensured that key tasks can be executed in time, thereby improving the timeliness of the overall metering production and the completion rate of important tasks, and avoiding task execution delays and resource waste caused by task backlog or unreasonable allocation; and by analyzing the current workload of the metering personnel, the skill set they have and the skill set required for the metering task, it is ensured that the task is allocated to personnel with more matching skills and relatively reasonable workload, thereby improving the execution efficiency and quality of the metering tasks, ensuring the work enthusiasm and sustainability of the metering personnel, and thereby improving the reliability of metering production task scheduling.

[0094] Example 2

[0095] See also Figure 4 , Figure 4 A schematic diagram of the module structure of a metering production scheduling system for electric power equipment provided by an embodiment of the present invention. Figure 4 As shown, an embodiment of the present invention provides a metering production scheduling system for electric power equipment, including:

[0096] Information acquisition module 401, matching evaluation module 402, task matching management module 403 and metrology production scheduling module 404;

[0097] The information acquisition module 401 is used to obtain metering production information of power equipment;

[0098] The matching evaluation module 402 is used to evaluate the matching between the metering personnel and the metering task based on the metering production information of the power equipment, and obtain the matching evaluation value between the metering personnel and the metering task;

[0099] The task matching management module 403 is used to perform task matching management on the metrology personnel and the metrology tasks through a first preset algorithm based on the metrology personnel and the metrology task matching evaluation value to obtain a task allocation result;

[0100] The metrology production scheduling module 404 is used to schedule metrology production based on the task allocation result.

[0101] The embodiment of the present invention proposes a metering production scheduling system for electric power equipment, which obtains metering production information of electric power equipment according to an information acquisition module, accurately analyzes the matching degree between metering tasks and metering personnel through a matching evaluation module, and comprehensively considers the degree of fit between the metering personnel's skills and the skills required for metering tasks, provides a scientific basis for reasonable allocation, improves the accuracy of metering production task scheduling, and allocates metering tasks to suitable metering personnel for execution through a task matching management module, thereby improving the quality of metering production; the metering production scheduling module performs priority analysis on multiple tasks corresponding to one person and multiple people corresponding to one task, and ensures that key tasks can be executed in a timely manner by analyzing the task deadline, task complexity and importance, thereby improving the timeliness of overall metering production and the completion rate of important tasks, and avoiding task execution delays and resource waste caused by task backlog or unreasonable allocation; and also ensures that tasks are allocated to personnel with more matching skills and relatively reasonable workloads by analyzing the current workload of metering personnel, the skill sets they have and the required skill sets of metering tasks, thereby improving the execution efficiency and quality of metering tasks, ensuring the work enthusiasm and sustainability of metering personnel, and thereby improving the reliability of metering production task scheduling.

[0102] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

[0103] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the described specific features, structures, materials or characteristics may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0104] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

Claims

1. A method for metering production scheduling of electric power equipment, characterized in that: include: Obtain metering production information of power equipment; Based on the metering production information of the electric power equipment, a matching degree evaluation is performed on the metering personnel and the metering task to obtain a matching degree evaluation value of the metering personnel and the metering task; Based on the evaluation value of the matching degree between the metrology personnel and the metrology tasks, task matching management is performed on the metrology personnel and the metrology tasks through a first preset algorithm to obtain a task allocation result; Based on the task allocation result, the metering production is scheduled.

2. A method for metering production and scheduling of electric power equipment according to claim 1, characterized in that: The obtaining of metering production information of electric power equipment includes: Based on the preset database, obtain various types of metering tasks and all metering personnel of power equipment; Match the personnel requirements for various types of measurement tasks to obtain the corresponding personnel requirements for each type of measurement task; Match the skill requirements of various types of metrology tasks to obtain the required skills corresponding to each type of metrology task; Based on the personnel demand corresponding to each type of measurement task and the required skills corresponding to each type of measurement task, a personnel demand index is obtained; Conduct skill analysis on each metrologist to obtain the skills and skill levels of each metrologist.

3. A method for metering production and scheduling of electric power equipment as claimed in claim 2, characterized in that: Based on the metering production information of the electric power equipment, a matching degree evaluation is performed on the metering personnel and the metering task to obtain a matching degree evaluation value of the metering personnel and the metering task, including: Obtain the required skills corresponding to the measurement tasks and build the required skill set; Obtain the skills and skill levels of metrologists and build a skill set; Intersecting the required skill set and the possessed skill set to obtain an intersecting skill set; calculating a skill gap based on the intersecting skill sets; Extract the skill difference with a positive value, and obtain the number of skills corresponding to the skill difference with a positive value; Based on the number of skills corresponding to the skill difference whose value is a positive number, the matching degree of the metrological personnel and the metrological task is evaluated to obtain the matching degree evaluation value of the metrological personnel and the metrological task.

4. A method for metering production and scheduling of electric power equipment as claimed in claim 3, characterized in that: Based on the intersecting skill sets, a skill gap is calculated, including: Obtain the skill level corresponding to each skill in the intersecting skill set from the possessed skill set; Obtain the skill demand index corresponding to each skill in the intersecting skill set from the demand skill set; The difference between the skill level corresponding to each skill in the intersecting skill set and the skill demand index corresponding to each skill in the intersecting skill set is calculated to obtain the skill difference.

5. A method for metering production and scheduling of electric power equipment as claimed in claim 3, characterized in that: The matching degree of the metrology personnel and the metrology task is evaluated based on the number of skills corresponding to the skill difference whose value is a positive number, and the matching degree evaluation value of the metrology personnel and the metrology task is obtained, including: Count all skills in the required skill set to get the total number of required skills; The matching evaluation value between the metrology task and the metrology personnel is calculated based on the total number of required skills, the number of skills in the intersecting skill sets, and the number of skills corresponding to the positive skill difference.

6. A method for metering production and scheduling of electric power equipment according to claim 1, characterized in that: Based on the evaluation value of the matching degree between the metrology personnel and the metrology task, task matching management is performed on the metrology personnel and the metrology task through a first preset algorithm to obtain a task allocation result, including: Obtain the matching evaluation value between metrological tasks and metrological personnel; Sorting the matching evaluation values ​​of the metrology tasks and metrology personnel from high to low to obtain matching evaluation value arrangement data; The data is arranged based on the matching evaluation value, and the measurement tasks and measurement personnel with the highest matching evaluation value are matched to obtain the task allocation result.

7. A method for metering production and scheduling of electric power equipment according to claim 1, characterized in that: The step of scheduling the metrology production based on the task allocation result includes: When multiple measurement tasks match one measurement personnel, the measurement tasks are prioritized and the scheduling priority of the measurement tasks is obtained; When multiple metering personnel match one metering task, the metering personnel are prioritized and scheduled; Based on the task scheduling priority and the metrology personnel priority, the metrology production is scheduled.

8. A method for metering production and scheduling of electric power equipment as claimed in claim 7, characterized in that: When multiple metering tasks match one metering personnel, the metering tasks are analyzed for priority to obtain the scheduling priority of the metering tasks, including: Obtain the task deadline, task complexity and importance of each measurement task; Sort the task deadlines of each metering task, calculate the time intervals between metering tasks with adjacent deadlines, calculate the average of all time intervals, and obtain the time interval analysis value; Counting the time intervals between the deadlines of each metering task and the first preset time node, obtaining the two groups of interval durations with the largest and smallest time interval values, calculating the average of the two groups of interval durations, and obtaining a period analysis value; Based on the time interval analysis value and the cycle analysis value, the task cycle weight value is obtained; Multiplying the deadline of each metering task and the time interval of each metering task relative to the first preset time node by the task cycle weight value to obtain the urgency of each metering task; Based on the urgency, complexity and importance of each metering task, the scheduling priority of the metering task is obtained.

9. A method for metering production and scheduling of electric power equipment as claimed in claim 7, characterized in that: When multiple metrology personnel match one metrology task, the metrology personnel are prioritized and the priorities of the metrology personnel are obtained, including: Obtain the skill set of each metrologist, and calculate the number of skills, the corresponding skill level, and the skill demand index of the intersection of the skill set and the required skill set of the metrology task; Based on the number of skills, corresponding skill levels and skill demand indexes at the intersection of the skill set and the required skill set of the measurement task, the absolute value of the difference between the skill level and the skill demand index of each identical skill is calculated; Calculate the average of the absolute values ​​of the differences of the same skills to obtain the skill fit; Calculate the load index of each metering personnel based on the workload of each metering personnel at the second preset time node and the preset maximum workload; Obtain the priority of metering personnel based on the skill match and load indicators of each metering personnel.

10. A metering production scheduling system for electric power equipment, characterized in that: Executing a metering production scheduling method for electric power equipment according to any one of claims 1 to 9, comprising: Information acquisition module, matching evaluation module, task matching management module and metrology production scheduling module; The information acquisition module is used to acquire the metering production information of the power equipment; The matching evaluation module is used to evaluate the matching between the metering personnel and the metering task based on the metering production information of the power equipment, and obtain the matching evaluation value between the metering personnel and the metering task; The task matching management module is used to perform task matching management on the metrology personnel and the metrology tasks through a first preset algorithm based on the metrology personnel and the metrology task matching evaluation value to obtain a task allocation result; The metrology production scheduling module is used to schedule metrology production based on the task allocation result.

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