An emergency scheduling device and method based on dynamic load capacity of personnel

Abstract

The application discloses an emergency scheduling device and method based on personnel dynamic bearing capacity, and the device comprises the following modules: a personnel information input module for obtaining personnel information by fusing multiple source business systems; a personnel post capacity evaluation module for evaluating the personnel post capacity based on the obtained personnel information; a personnel dynamic bearing capacity evaluation module for evaluating the personnel dynamic bearing capacity based on the personnel post capacity; a work total amount evaluation module for predicting the power grid regulation work total amount under an emergency scene; and an emergency scheduling scheme compilation module for confirming temporary allocation personnel based on the power grid regulation work total amount, the dynamic bearing capacity of the on-duty personnel and the personnel post capacity, and adjusting the subsequent scheduling personnel based on scheduling rules. The application can realize the power grid on-duty safety evaluation based on the power grid regulation work total amount and the dynamic bearing capacity of the on-duty personnel by fusing multiple source data, and can confirm the temporary allocation personnel by analyzing the personnel post capacity.

Description

TECHNICAL FIELD

[0001] The application relates to an emergency scheduling device and method based on personnel dynamic bearing capacity, and belongs to the technical field of power system regulation personnel regulation. BACKGROUND

[0002] With the gradual expansion of the power grid scale and the gradual improvement of the intelligent level, the total amount of power grid equipment and information that needs to be monitored and controlled by professional operation personnel gradually increases, so the scheduling mode based on grouping without considering the personnel post capacity, personnel bearing capacity and power grid regulation operation amount cannot meet the requirements of safe and reliable operation of the power grid regulation. SUMMARY

[0003] The application aims to make up for the defects of the prior art, and provides an emergency scheduling device and method based on personnel dynamic bearing capacity, which can realize temporary personnel allocation based on the total amount of power grid regulation work, the dynamic bearing capacity of on-duty personnel and the personnel post capacity, and fundamentally improves the post adaptability and business capacity of on-duty personnel.

[0004] To achieve the above-mentioned purposes, the technical scheme adopted by the application is as follows:

[0005] The application provides an emergency scheduling device based on personnel dynamic bearing capacity, which comprises:

[0006] A personnel information input module is used for obtaining personnel information by fusing multiple source business systems;

[0007] A personnel post capacity evaluation module is used for evaluating the personnel post capacity based on the obtained personnel information;

[0008] A personnel dynamic bearing capacity evaluation module is used for evaluating the personnel dynamic bearing capacity based on the personnel post capacity;

[0009] A work total amount evaluation module is used for predicting the total amount of power grid regulation work under an emergency scenario;

[0010] An emergency scheduling scheme compilation module is used for confirming temporary allocation personnel based on the total amount of power grid regulation work, the dynamic bearing capacity of on-duty personnel and the personnel post capacity, and adjusting subsequent scheduling personnel based on scheduling rules;

[0011] The personnel information input module is connected with the personnel post capacity evaluation module, the personnel post capacity evaluation module is connected with the personnel dynamic bearing capacity evaluation module, the personnel post capacity evaluation module, the personnel dynamic bearing capacity evaluation module and the work total amount evaluation module are all connected with the emergency scheduling scheme compilation module.

[0012] Further, the multi-source business system comprises an OMS system, an EMS system and a power transmission and transformation online monitoring system.

[0013] Further, the personnel post capacity evaluation module is specifically used for,

[0014] The personnel post capacity is weighted and evaluated based on the personnel knowledge structure score, the personnel knowledge accumulation score, the personnel experience accumulation score and the personnel business proficiency score, to obtain a personnel post capacity score.

[0015] The personnel knowledge structure score is weighted and calculated based on personnel education and skill level; the personnel knowledge accumulation score is weighted and calculated based on the number of papers, the number of patents, the number of training times and the number of competition times of the personnel; the personnel experience accumulation score is weighted and calculated based on the amount of accident disposal, the amount of mode adjustment, the amount of information acceptance and the amount of system patrol of the personnel; and the personnel business proficiency score is weighted and calculated based on the post level weight of the personnel and the accident disposal efficiency, the mode adjustment efficiency, the information acceptance efficiency, the system patrol efficiency, the information acceptance quality, the mode adjustment quality, the accident disposal quality and the system patrol quality.

[0016] Further, the personnel dynamic bearing capacity evaluation module is specifically used for,

[0017] The personnel dynamic bearing capacity is calculated as follows:

[0018] The personnel dynamic bearing capacity index = personnel post capacity score * workload = personnel post capacity score * (personnel system monitoring amount + personnel system patrol amount + personnel regulation and control operation amount + personnel business disposal amount).

[0019] Further, the total work evaluation module is specifically used for,

[0020] If the emergency scene occurs suddenly, the total work of power grid regulation and control is determined based on the fuzzy analytic hierarchy process and expert experience according to the current power grid stability level index, the equipment operation state index and the external environment condition index;

[0021] If the emergency scene has not occurred and is predictable, the total work of power grid regulation and control is predicted based on the similarity estimation of the power grid situation under the historical similar conditions.

[0022] Further, the power grid stability level index is weighted and calculated based on the static security level index, the power angle stability level index, the voltage stability level index, the frequency stability level index and the short-circuit current level index;

[0023] The equipment operation state index is calculated as follows:

[0024] The equipment operation state index

[0025] = 100 - μ1 × equipment operation time deduction value - μ2 × equipment defect quantity deduction value - μ3 × equipment failure quantity deduction value, wherein μ1, μ2, and μ3 represent weight coefficients.

[0026] Further, the total workload evaluation module is specifically configured to,

[0027] If the emergency scenario has not occurred and is predictable,

[0028] Confirm the emergency scenario attributes, including date, load prediction value, holiday attribute, weather prediction value, and equipment operation state prediction value.

[0029] Confirm the historical similar scenarios based on the emergency scenario attributes, and calculate the similarity between the to-be-predicted emergency scenario and the historical similar scenarios through a grey correlation analysis algorithm.

[0030] Estimate the total workload of the power grid regulation of the to-be-predicted emergency scenario based on the power grid workload of the historical similar scenarios and the similarity.

[0031] Further, the emergency scheduling scheme compiling module is specifically configured to,

[0032] If the emergency scenario occurs suddenly, calculate the unassigned workload:

[0033]

[0034] Wherein, n is the total amount of on-duty personnel.

[0035] Adjust the workload of the current on-duty personnel in the following manner:

[0036] If the dynamic bearing capacity index of the current on-duty personnel does not reach the preset personnel dynamic bearing capacity threshold, increase the workload; if the dynamic bearing capacity of the current on-duty personnel has reached the preset personnel dynamic bearing capacity threshold, reduce the workload.

[0037] Calculate the unassigned workload after the workload adjustment:

[0038]

[0039] Determine the temporary allocation personnel for the unassigned workload in the following manner:

[0040]

[0041] In the order of decreasing personnel post capacity score, obtain the number m of temporary allocation personnel and the personnel list that satisfy the above formula.

[0042] Further,

[0043] The increased workload is:

[0044] Increased workload = dynamic bearing capacity threshold - current allocated workload;

[0045] The reduced workload is:

[0046] Reduced workload = current allocated workload - dynamic bearing capacity threshold.

[0047] The present application also provides an emergency scheduling method based on personnel dynamic bearing capacity, comprising:

[0048] Obtaining personnel information from various business systems; the business systems include OMS system, EMS system and transmission and transformation online monitoring system;

[0049] Based on personnel knowledge structure score, personnel knowledge accumulation score, personnel experience accumulation score and personnel business proficiency score, the personnel post ability is evaluated by time weighting to obtain the personnel post ability score;

[0050] Based on the system monitoring volume, system patrol volume, control operation volume and business disposal volume of personnel per unit time, the workload of personnel per unit time is calculated, and the personnel dynamic bearing capacity is obtained by multiplying the personnel post ability score;

[0051] Based on the grid stability level index, equipment operation state index and external environmental conditions, the fuzzy analytic hierarchy process and expert experience are used to predict the total amount of grid control work;

[0052] Based on the total amount of grid control work and the dynamic bearing capacity of the on-duty personnel, the unallocated workload is determined and the personnel workload is adjusted; and based on the adjusted unallocated workload and the personnel post ability score, the temporary allocation personnel is confirmed, and the subsequent scheduling personnel adjustment is carried out based on the scheduling rules.

[0053] The beneficial effects achieved by the present application are:

[0054] The present application provides an emergency scheduling method based on personnel dynamic bearing capacity, which integrates multi-source data, can realize grid on-duty safety evaluation based on the total amount of grid control work and the dynamic bearing capacity of the on-duty personnel, and confirms the temporary allocation personnel by analyzing the personnel post ability. The present application arranges appropriate training plan through the analysis of personnel post ability and personnel dynamic bearing capacity, fundamentally improves the post adaptability and business ability of the on-duty personnel. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 A structure schematic diagram of an emergency scheduling device based on personnel dynamic bearing capacity provided by the embodiment of the present application;

[0056] Figure 2 A personnel post ability evaluation index hierarchical structure diagram provided by the embodiment of the present application;

[0057] Figure 3 A personnel dynamic bearing capacity evaluation module function structure diagram is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0058] The present application is further described below. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and cannot be used to limit the protection scope of the present application.

[0059] As shown in Figure 1 An emergency scheduling device based on personnel dynamic bearing capacity is provided by an embodiment of the present application, which comprises:

[0060] A personnel information input module is used to obtain personnel information by fusing multiple source business systems, and the business systems include OMS system, EMS system, and power transmission and transformation online monitoring system, etc. The obtained personnel information includes the unit, department, name, gender, age, length of service, education, skill, post level, published paper situation, and published patent situation, etc. of the personnel. The personnel information input module is connected with the personnel post capacity evaluation module.

[0061] A personnel post capacity evaluation module is used to evaluate the personnel post capacity based on four dimensions of personnel knowledge structure, personnel knowledge accumulation, personnel experience accumulation, and personnel business proficiency index. The calculation formula is as follows:

[0062] Personnel post capacity score = α1 × personnel knowledge structure score + α2 × personnel knowledge accumulation score + α3 × personnel experience accumulation score + α4 × personnel business proficiency score

[0063] Wherein, α i (i = 1, 2, 3, 4) is a weight coefficient;

[0064] Specifically, the personnel knowledge structure score is evaluated by weighting from the perspective of personnel education and skill level. The specific evaluation standard is as follows:

[0065] Table 1 Personnel education evaluation standard

[0066] Rank Score Doctorate and above 4 Master's 3 Bachelor's and below 2

[0067] Table 2 Personnel skill evaluation standard

[0068] Rank Score Senior 5 Sub-senior 4 Intermediate 3 Below intermediate 2

[0069] Personnel knowledge structure score = β1 × personnel education evaluation score + β2 × personnel skill evaluation standard score, wherein β1, β2 are coefficients, and β1 + β2 = 1.

[0070] Personnel knowledge accumulation is evaluated by weighting from the perspective of paper quantity, patent quantity, training frequency, and competition frequency. The calculation formula is as follows:

[0071] Personnel knowledge accumulation score = γ1 x number of papers + γ2 x number of patents + γ3 x number of trainings + γ4 x number of competitions, where γ1 + γ2 + γ3 + γ4 = 1.

[0072] Personnel experience accumulation is weighted and evaluated from the amount of accident disposal, the amount of mode adjustment, the amount of information acceptance, and the amount of system patrol. The calculation formula is as follows:

[0073] Personnel experience accumulation score = δ1 x amount of accident disposal + δ2 x amount of mode adjustment + δ3 x amount of information acceptance + δ4 x amount of system patrol, where δ1 + δ2 + δ3 + δ4 = 1.

[0074] Personnel business proficiency is weighted and evaluated from the efficiency of accident disposal, the efficiency of mode adjustment, the efficiency of information acceptance, the efficiency of system patrol, the quality of information acceptance, the quality of mode adjustment, the quality of accident disposal, and the quality of system patrol according to the personnel position weight.

[0075] Table 3 Personnel position weight

[0076] Rank Score Chief 1.13 Positive 1.12 Assigned 0.97 Student 0.86

[0077] Personnel business proficiency score = θ (ρ1 x efficiency of accident disposal + ρ2 x efficiency of mode adjustment + ρ3 x efficiency of information acceptance + ρ4 x efficiency of system patrol + ρ5 x quality of information acceptance + ρ6 x quality of mode adjustment + ρ7 x quality of accident disposal + ρ8 x quality of system patrol), where ρ1 + ρ2 + ρ3 + ρ4 + ρ5 + ρ6 + ρ7 + ρ8 = 1, and θ is the personnel position weight.

[0078] Table 4 Efficiency score

[0079] Rank Score 1 hour treatment 5 and above 5 1 hour treatment 3 and above 3 1 hour treatment 2 and below 1

[0080] Table 5 Quality score

[0081] Rank Score Excellent 5 Qualified 3 Unqualified 0

[0082] Referring to Figure 3 The personnel dynamic bearing capacity evaluation module calculates the amount of work per unit time based on the amount of system monitoring, the amount of system patrol, the amount of control operation, and the amount of business disposal, and evaluates the personnel dynamic bearing capacity based on the personnel position capacity.

[0083] The calculation formula is as follows: personnel dynamic bearing capacity = personnel position capacity score * amount of work = personnel position capacity score * (amount of system monitoring + amount of system patrol + amount of control operation + amount of business disposal).

[0084] The personnel dynamic bearing capacity evaluation module is connected with the personnel position capacity evaluation module and the emergency scheduling scheme compilation module.

[0085] The work total evaluation module is configured to predict the work total of power grid regulation under the emergency scenario by the power grid stability level, the equipment operation state, and the external environment condition.

[0086] Specifically, the power grid stability level is mainly calculated by weighting the static security level index, the power angle stability level index, the voltage stability level index, the frequency stability level index, and the short-circuit current level index, the equipment operation state is calculated by comprehensively calculating the equipment operation time, the equipment defect quantity, and the equipment fault quantity, and the external environment condition is evaluated based on meteorological information. The work total evaluation module is connected with the emergency scheduling scheme compilation module.

[0087] Specifically,

[0088]

[0089] The static security level index, the power angle stability level index, the voltage stability level index, the frequency stability level index, and the short-circuit current level index are calculated according to the notice of the 35th National Dispatching Center on the construction of key index system for large power grid dispatching and operation.

[0090] Specifically, the equipment operation state index = 100 - μ1 x equipment operation time deduction value - μ2 x equipment defect quantity deduction value - μ3 x equipment fault quantity deduction value.

[0091] Specifically, the external environment condition is evaluated according to whether a mountain fire, lightning, icing, typhoon, or other severe weather occurs. The evaluation results include:

[0092] Table 6: External environment evaluation grade

[0093]

[0094] The specific evaluation conditions refer to meteorological division, such as wind force grade:

[0095] Table 7: Wind force grade division

[0096] Wind force level Wind speed (m / s) 1st 0.3～1.5 2nd 1.6～3.3 3rd 3.4～5.4 4th 5.5～7.9 5th 8.0～10.7 6th 10.8～13.8 7th 13.9～17.1 8th 17.2～20.7 9th 20.8～24.4 10th 24.5～28.4 11th 28.5～32.6 12th 32.7～36.9 13th 37.0～41.4 14th 41.5～46.1 15th 46.2～50.9 16th 51.0～56.0 17th >56.0

[0097] If a gale of 8 or above occurs, it is a typhoon weather, and the external environment condition is abnormal; if a wind force of 3 or below occurs, the external environment condition is normal; if a wind force of 4 to 7 occurs, the external environment condition is in an attention state.

[0098] Specifically, if the emergency scenario occurs suddenly, the current power grid stability level, the equipment operation state, and the external environment condition are comprehensively evaluated, and the work total of the power grid is confirmed based on the fuzzy analytic hierarchy process and expert experience.

[0099] Specifically, if the emergency scenario has not occurred and is predictable, similarity estimation is performed based on the grid situation under historical similar conditions, and the total amount of grid work is predicted; wherein the historical similar conditions mainly include factors such as the similarity of grid load trend, the similarity of date, holiday attribute, meteorological condition and equipment operation state.

[0100] The emergency scheduling scheme compiling module is configured to confirm temporary allocation personnel based on the total amount of grid regulation work, the dynamic bearing capacity of the on-duty personnel, and the personnel post capacity, and to adjust the subsequent scheduling personnel based on scheduling rules.

[0101] Specifically, if the emergency scenario suddenly occurs,

[0102] First, the unallocated work amount is calculated:

[0103]

[0104] Wherein, n is the total amount of on-duty personnel;

[0105] Secondly, the current on-duty personnel work amount is adjusted in the following way:

[0106] Confirm the dynamic bearing capacity threshold of the personnel, if the dynamic bearing capacity of the current on-duty personnel does not reach the threshold, increase the work amount of the on-duty personnel, the increase work amount = dynamic bearing capacity threshold - current allocated work amount; if the current on-duty personnel has reached the threshold, reduce the work amount, the reduction work amount = current allocated work amount - dynamic bearing capacity threshold;

[0107] Then, the adjusted unallocated work amount is calculated:

[0108]

[0109] And determine the temporary allocation personnel through the following way:

[0110]

[0111] According to the order of decreasing personnel post capacity, obtain the number m of temporary allocation personnel and the personnel list that satisfy formula (2).

[0112] Specifically, if the emergency scenario has not occurred and is predictable, then,

[0113] First, confirm the emergency scenario attributes, including date, load prediction value, holiday attribute, meteorological prediction value, equipment operation state prediction value and other factors;

[0114] Secondly, confirm the historical similar scenarios based on the above factors, and calculate the similarity between the to-be-predicted scenario and the historical similar scenarios through the grey correlation analysis algorithm;

[0115] Then, based on the power grid workload and similarity estimation of similar scenarios, the total workload of the scenario to be predicted is confirmed, and the personnel who can participate in temporary deployment are arranged according to formula (2) based on the total workload.

[0116] Specifically, the subsequent scheduling is based on the personnel's job skills, personnel grouping, duty requirements, holiday schedule, leave arrangements, number of shifts, and number of personnel on duty per shift, and is carried out in a regular scheduling manner.

[0117] like Figure 2 As shown, one embodiment of the present invention provides a hierarchical structure for personnel job competency assessment indicators. The assessment indicators are divided into two layers. The first layer includes four indicators: knowledge structure, knowledge accumulation, experience accumulation, and professional proficiency. The second layer includes detailed indicators for each of the first layer indicators. Specifically, knowledge structure includes indicators of personnel's education and skill level; knowledge accumulation includes indicators of the number of papers, patents, training sessions, and competitions; experience accumulation includes indicators of accident handling volume, method adjustment volume, information acceptance volume, and system inspection volume; and professional proficiency includes indicators of accident handling efficiency, method adjustment efficiency, information acceptance efficiency, system inspection efficiency, information acceptance quality, method adjustment quality, accident handling quality, and system inspection quality.

[0118] Another embodiment of the present invention discloses an emergency scheduling method based on dynamic personnel carrying capacity, as detailed below:

[0119] Personnel information is obtained from various business systems; these business systems include the OMS system, EMS system, and power transmission and transformation online monitoring system.

[0120] Based on the personnel knowledge structure score, personnel knowledge points, personnel experience accumulation score, and personnel business proficiency score, the personnel job competency is evaluated periodically with weighted scores to obtain the personnel job competency score.

[0121] The workload of personnel per unit time is calculated based on the amount of system monitoring, system inspection, control operation, and business processing per unit time. The dynamic carrying capacity of personnel is obtained by multiplying it by the personnel's job competency score.

[0122] Based on power grid stability indicators, equipment operating status indicators, and external environmental conditions, the total amount of power grid regulation work is predicted using fuzzy hierarchical analysis and expert experience.

[0123] The unallocated workload is determined based on the total workload of power grid control and the dynamic carrying capacity of on-duty personnel, and the workload of personnel is adjusted accordingly; and the temporary allocation of personnel is confirmed based on the adjusted unallocated workload and the personnel's job competency scores, and the personnel are adjusted for subsequent shifts based on the scheduling rules.

[0124] Those skilled in the art will appreciate that embodiments of the application can be devised for a method, a system, or a computer program product. Accordingly, the present application can be embodied in the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0125] The present application is described in reference to the flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. 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 program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, 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 specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0126] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0127] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0128] Finally, it should be noted that the above-mentioned embodiments are merely intended for describing and illustrating, not limiting the technical solutions of the present application. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific embodiments of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and any modification or equivalent replacement without departing from the spirit and scope of the present application should be covered in the protection scope of the claims of the present application.

Claims

1. An emergency scheduling device based on dynamic personnel carrying capacity, characterized in that, include: The personnel information entry module is used to integrate personnel information obtained from multiple business systems; The personnel job competency evaluation module is used to periodically assess personnel job competencies based on acquired personnel information. This includes: weighted evaluation of personnel job competencies based on a score for personnel knowledge structure, a score for personnel knowledge accumulation, a score for personnel experience accumulation, and a score for personnel business proficiency, resulting in a personnel job competency score; the personnel knowledge structure score is weighted based on personnel education level and skill level; the personnel knowledge accumulation score is weighted based on the number of papers published, patents held, training sessions attended, and competitions participated in; the personnel experience accumulation score is weighted based on the number of incidents handled, the number of methods adjusted, the amount of information received, and the amount of system inspections conducted; and the personnel business proficiency score is weighted based on personnel job level weights and the efficiency of incident handling, method adjustment, information receipt, system inspection, information receipt quality, method adjustment quality, incident handling quality, and system inspection quality. The personnel dynamic carrying capacity evaluation module is used to assess personnel dynamic carrying capacity based on personnel job capabilities, and the calculation is as follows: Personnel dynamic carrying capacity index = Personnel job competency score * workload = Personnel job competency score * (Personnel system monitoring volume + Personnel system patrol volume + Personnel control operation volume + Personnel business processing volume). The total workload assessment module is used to predict the total workload of power grid regulation in emergency scenarios; The emergency scheduling module is used to identify temporary personnel based on the total workload of power grid regulation, the dynamic carrying capacity of existing staff, and the job skills of personnel, and to adjust subsequent staffing schedules based on scheduling rules, including: If an emergency scenario suddenly occurs, the unassigned workload will be calculated: ； Where n is the total number of personnel on duty; Adjust the workload of the current on-duty personnel as follows: If the dynamic carrying capacity index of the current on-duty personnel does not reach the preset dynamic carrying capacity threshold, the workload will be increased; if the dynamic carrying capacity of the current on-duty personnel has reached the preset dynamic carrying capacity threshold, the workload will be reduced. Calculate the unassigned workload after workload adjustment: ； Temporary staff will be assigned to handle unassigned workloads using the following method: ； Obtain the number of temporary personnel m and the personnel list that satisfy the above formula, in descending order of personnel job competency scores; The personnel information entry module is connected to the personnel job competency evaluation module, and the personnel job competency evaluation module is connected to the personnel dynamic carrying capacity evaluation module; the personnel job competency evaluation module, the personnel dynamic carrying capacity evaluation module, and the total workload assessment module are all connected to the emergency scheduling plan preparation module.

2. The emergency scheduling device based on dynamic personnel carrying capacity according to claim 1, characterized in that, The multi-source business system includes the OMS system, the EMS system, and the power transmission and transformation online monitoring system.

3. The emergency scheduling device based on dynamic personnel carrying capacity according to claim 1, characterized in that, The total workload assessment module is specifically used for, If an emergency scenario suddenly occurs, the total amount of power grid control work will be determined based on the current power grid stability level indicators, equipment operation status indicators, and external environmental conditions, using fuzzy hierarchical analysis and expert experience. If the emergency scenario has not yet occurred and is foreseeable, then a similarity estimate is made based on the power grid situation under similar historical conditions to predict the total amount of power grid regulation work.

4. The emergency scheduling device based on dynamic personnel carrying capacity according to claim 3, characterized in that, The power grid stability level index is calculated by weighting the static safety level index, power angle stability level index, voltage stability level index, frequency stability level index, and short-circuit current level index. The equipment operating status indicators are calculated as follows: ， in, , , This represents the weighting coefficient.

5. An emergency scheduling device based on dynamic personnel carrying capacity according to claim 3, characterized in that, The total workload assessment module is specifically used for, If the emergency scenario has not yet occurred and is foreseeable, then, Confirm the emergency scenario attributes, including date, load forecast, holiday attributes, weather forecast, and equipment operating status forecast; Based on the attributes of the emergency scenario, historical similar scenarios are identified, and the similarity between the emergency scenario to be predicted and the historical similar scenarios is calculated using the grey relational analysis algorithm. The total amount of power grid control work for the predicted emergency scenarios is estimated based on the power grid workload and similarity of historical similar scenarios.

6. The emergency scheduling device based on dynamic personnel carrying capacity according to claim 1, characterized in that, The increased workload is as follows: Increased workload = Dynamic load capacity threshold - Current allocated workload; The reduction in workload is as follows: Reduce workload = Current allocated workload - Dynamic load capacity threshold.

7. An emergency scheduling method based on dynamic personnel carrying capacity, characterized in that, Based on the emergency scheduling device based on dynamic personnel carrying capacity as described in any one of claims 1 to 6, the method includes: Personnel information is obtained from various business systems; these business systems include the OMS system, EMS system, and power transmission and transformation online monitoring system. Based on the personnel knowledge structure score, personnel knowledge points, personnel experience accumulation score, and personnel business proficiency score, the personnel job competency is evaluated periodically with weighted scores to obtain the personnel job competency score. The workload of personnel per unit time is calculated based on the amount of system monitoring, system inspection, control operation, and business processing per unit time. The dynamic carrying capacity of personnel is obtained by multiplying it by the personnel's job competency score. Based on power grid stability level Equipment operating status The total workload of power grid regulation is predicted using fuzzy hierarchical analysis and expert experience, taking into account external environmental conditions. The unallocated workload is determined based on the total workload of power grid control and the dynamic carrying capacity of on-duty personnel, and the workload of personnel is adjusted accordingly; and the temporary allocation of personnel is confirmed based on the adjusted unallocated workload and the personnel's job competency scores, and the personnel are adjusted for subsequent shifts based on the scheduling rules.

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