A personnel matching method for power grid risk management and control operation

Abstract

The application discloses a personnel matching method for power grid risk management and control operation, calculates a power equipment risk value through equipment parameters, respectively obtains a power equipment risk management and control level and a production operation risk level according to the power equipment risk value, and then obtains a personnel list set by using a matrix calculation mode according to the obtained operation category. The application converts a qualitative problem into a quantitative problem based on a risk evaluation matrix, so that the power equipment risk management and control level division is more scientific and reasonable. Meanwhile, the application realizes the matrix and elements in the matrix as a means, simplifies the analysis steps, realizes the scheduling management of operation personnel according to the actual power grid operation personnel qualification evaluation, matches the power grid operation of power equipment risk management and control with operation personnel, reduces the power grid operation task allocation time, reduces the workload, and improves the power grid operation safety and efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of information security, and particularly relates to a personnel matching method for power grid risk management and control operation. BACKGROUND

[0002] Power grid operation is a work with high technical requirements, high risk levels and high dangerous coefficients. On one hand, power grid operation personnel themselves need to have high qualifications and abilities, and on the other hand, the experience and skills of the operation personnel need to be combined to cope with complex work tasks. Therefore, how to reasonably allocate personnel to perform power grid operation is an important problem faced by power grid operation and maintenance.

[0003] However, in the current power grid operation, the personnel performing the power grid operation are usually allocated by the management personnel according to their own experience and the qualifications possessed by all power grid operation personnel. This allocation method is subjective and is mixed with personal preferences, and cannot scientifically and reasonably select the most suitable operation personnel according to the operation tasks, which not only causes waste of human resources, but also reduces the enthusiasm of the operation personnel.

[0004] Reasonable personnel scheduling can reduce the risk of power grid operation and reduce the occurrence of power grid operation accidents.

[0005] Therefore, a scientific personnel allocation method considering the state of power equipment and the ability of personnel is urgently needed to solve the above problems. SUMMARY

[0006] The present application provides a personnel matching method for power grid risk management and control operation to solve the problem of unreasonable allocation caused by the selection of personnel depending on the subjective will in the prior art.

[0007] The present application provides a personnel matching method for power grid risk management and control operation, comprising:

[0008] obtaining a device management and control request; the device management and control request comprises device information;

[0009] calling a plurality of device parameters corresponding to the device information; the device parameters comprise a power equipment value factor, a power equipment health degree factor, a related load level factor and a social influence factor;

[0010] calculating a power equipment risk value according to the device parameters;

[0011] obtaining a power equipment risk management and control level corresponding to the power equipment risk value according to a risk management and control level division table;

[0012] obtaining a production operation risk level corresponding to the power equipment risk value according to a production operation risk level division table;

[0013] An operation category is obtained from the power equipment risk management level and the production operation risk level;

[0014] According to the operation category and the equipment management request, a set of operation personnel corresponding to the equipment management request is calculated by using a relation matrix.

[0015] In some embodiments, the method further comprises:

[0016] Periodically obtaining power equipment health degree factors corresponding to all equipment, and updating new power equipment health degree factors as equipment parameters to be called.

[0017] In some embodiments, the step of calculating a power equipment risk value according to the equipment parameters comprises:

[0018] Taking the product of all equipment parameters as the power equipment risk value.

[0019] In some embodiments, the step of calculating a set of operation personnel corresponding to the equipment management request according to the operation category and the equipment management request by using a relation matrix comprises:

[0020] Defining a power grid operation task-personnel qualification requirement matrix T:

[0021]

[0022] A power grid operation personnel qualification matrix Q:

[0023]

[0024] A power grid task-operation personnel ability level matrix RD:

[0025]

[0026] A power grid operation personnel actual ability level matrix S:

[0027]

[0028] According to the power grid operation task-personnel qualification requirement matrix T and the power grid operation personnel qualification matrix Q, an intermediate matrix M is calculated;

[0029] M=T×Q T ;

[0030] Wherein, Q T is the transpose matrix of Q;

[0031] According to the M matrix, a matrix G is calculated;

[0032]

[0033] Wherein, MT is the transpose matrix of M;

[0034] According to condition S ij >∑RD ij (1 < i < m, 1 < j < n), to obtain the personnel list set.

[0035] In some embodiments, in the power grid task-personnel capability level matrix RD, the power grid operation task complexity and importance are measured by considering the power equipment risk, and the power grid operation level decision quantity OR is taken as 0.25, 0.5, 0.75, or 1.

[0036] In some embodiments, in the power grid personnel capability level matrix S, the element value is divided into five levels according to the personnel-related capability value.

[0037] In some embodiments, the calculation method of the personnel-related capability value is:

[0038] Each index corresponding to the power grid personnel is scored according to a preset standard; the index includes title level, length of service, skill level, violation record, job creation award, professional accomplishment, skill level, and operation level;

[0039] A weight value is set for each index;

[0040] The score calculated according to the weight value and the score of each index is taken as the personnel-related capability value.

[0041] The present application provides a power grid risk control operation personnel matching method, calculates the power equipment risk value through the equipment parameter, and respectively obtains the power equipment risk control level and the production operation risk level according to the power equipment risk value, and then obtains the personnel list set by using the matrix calculation method according to the obtained operation category. The present application converts the qualitative problem into a quantitative problem, so that the power equipment risk control level division is more scientific and reasonable; at the same time, the matrix and the elements in the matrix are used as the means to simplify the analysis steps, realize the scheduling management of the actual power grid operation personnel according to the qualification evaluation, match the power grid operation of the power equipment risk control and the operation personnel, reduce the power grid operation task allocation time, reduce the workload, and improve the power grid operation safety and efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the present application, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0043] Figure 1A flowchart of a personnel matching method for power grid risk management and control operation of the present application. DETAILED DESCRIPTION

[0044] Reference Figure 1 A flowchart of a personnel matching method for power grid risk management and control operation of the present application;

[0045] By Figure 1 It can be known that the present application provides a personnel matching method for power grid risk management and control operation, comprising:

[0046] S100: Obtain a device management request; the device management request includes device information;

[0047] In the present embodiment, when it is necessary to assign personnel to a power operation task, a device management request can be sent by a management personnel or any user, which should include device information such as device name, number, location, year, etc. The system can extract these information after receiving the device management request, which is used for subsequent calling, calculation and other operations.

[0048] S200: Call multiple device parameters corresponding to the device information; it should be understood that device parameters can be set according to actual needs, and in the present embodiment, only four most key influence factors are taken as examples: the device parameters include power device value factor, power device health degree factor, related load level factor and social influence factor;

[0049] Among them, the power device value factor can be set according to the value of the device itself. The higher the value of the device, the greater the loss caused by the failure, and the higher the value factor of the device. For example, it can be set as shown in the following table (all values in the tables in this text can be arbitrarily specified and should not be understood as a limitation, which can be adjusted accordingly according to actual conditions):

[0050]

[0051] The power device health degree factor is the power device risk state obtained based on state detection quantity analysis, which can be divided into normal, attention, abnormal and serious, forming a device health state consistency judgment, as shown in the following table.

[0052]

[0053] It should be noted here that as the service life of the device increases, the influence of device aging on health degree should be changed, so the factor can be updated regularly, and the specific steps are as follows:

[0054] Periodically obtain the power device health degree factor corresponding to all devices, and update the new power device health degree factor as the device parameter to be called.

[0055] The relevant load level factor is divided according to the number of accesses of the relevant device under different load levels. The power load is divided into first-level load, second-level load and third-level load according to the power supply reliability and the loss or influence caused by power interruption. The power load can be shown in the following table.

[0056]

[0057] The social influence factor is a standard for the power outage time caused by the failure of the power equipment. The longer the power outage time caused by the failure of the power equipment, the greater the social influence factor. For example, the following table shows the social influence factor.

[0058]

[0059] S300: calculating the power equipment risk value according to the device parameters;

[0060] When the above parameters corresponding to the device are retrieved, the power equipment risk value can be calculated according to the preset rule. Specifically, the method used is:

[0061] The product of all device parameters is taken as the power equipment risk value, that is, the power equipment risk score = device value factor * device health degree * relevant load level factor * social influence factor. As known from the above example, the maximum value of each item is 4, and the maximum value of the product is 256, that is, the power equipment risk value ranges from 1 to 256.

[0062] S400: obtaining the power equipment risk control level corresponding to the power equipment risk value according to the risk control level division table;

[0063] The risk control level division table can be set as the following table:

[0064]

[0065] S500: obtaining the production operation risk level corresponding to the power equipment risk value according to the production operation risk level division table;

[0066] The power grid operation task is divided into production operation risk assessment with the industry-related operation hazard identification and risk assessment technical standard as the measurement standard and the risk value P as the input parameter. The production risk value calculation formula is production operation risk value = consequence * exposure * possibility.

[0067] According to the calculated risk value, the risk level and countermeasures can be confirmed according to the following relationship. The risk level can be divided into "very high", "high", "medium", "low" and "acceptable".

[0068]

[0069] S600: obtaining an operation category from the power equipment risk management level and the production operation risk level;

[0070] The power grid production operation category division considering the equipment management level is a two-dimensional consideration of the power grid operation division by the pseudo-variable analysis method of the multi-dimensional power equipment related quantity and the multi-dimensional power grid operation risk. In the present application, not only the equipment management level based on the power equipment failure risk is considered, but also the power grid operation risk is considered. Therefore, the power grid operation personnel have clear cognition and more explicit safety awareness in the process of handling failure events, and the occurrence of power grid safety accidents is reduced.

[0071] Based on the permutation and combination and the risk assessment matrix, the power grid production operation considering the equipment level is divided into A-class operation, B-class operation, C-class operation and D-class operation management and control, which can be shown in the following table:

[0072]

[0073] S700: obtaining a set of operation personnel corresponding to the equipment management request by using a relationship matrix according to the operation category and the equipment management request.

[0074] Specifically, step S700 can be decomposed as follows:

[0075] Defining a power grid operation task-personnel qualification requirement matrix T, which represents the requirement of m power grid operation tasks for n operation personnel qualifications;

[0076]

[0077] A power grid operation personnel qualification matrix Q is defined, which represents whether the power grid operation personnel have the qualification for the power grid operation task;

[0078]

[0079] In the matrix T and Q, the matrix elements are 0 or 1, wherein 1 represents that the power grid operation task needs the qualification, otherwise 0; wherein 1 represents that the operation personnel hold the qualification, otherwise 0.

[0080] A power grid task-operation personnel ability level matrix RD is defined, which represents the requirement of the power grid operation task for the ability;

[0081]

[0082] In the power grid task-operation personnel ability level matrix RD, the power equipment risk considering power grid operation level decision quantity OR is used to measure the complexity and importance of the power grid operation task, and OR takes the value of 0.25, 0.5, 0.75 or 1.

[0083] The actual ability level matrix S of the power grid workers, which represents the actual level of the ability possessed by the workers;

[0084]

[0085] In the actual ability level matrix S of the power grid workers, the element values are divided into five levels according to the personnel-related ability values. The elements are 0-1, wherein 0 is no related ability, and 1 represents that the related ability value is full score. The elements are divided into A-type workers, B-type workers, C-type workers, D-type workers, and E-type workers. Specifically, [0.75, 1], [0.5, 0.75), [0.25, 0.5), (0, 0.25), and 0. The ability level of the power grid workers reflects the basic quality, safety awareness, management ability, professional quality, and skill level of the power grid workers through the title level, violation record, job creation, performance, and professional skill of the workers in the related positions. The following table shows the details:

[0086]

[0087] Correspondingly, the calculation method of the personnel-related ability value is as follows:

[0088] The various indicators corresponding to the power grid workers are scored according to the preset standard. The indicators include the title level, length of service, skill level, violation record, job creation award, professional quality, skill level, and operation level.

[0089] The weight values are set for the various indicators.

[0090] The score obtained according to the weight values and the scores of the various indicators is used as the personnel-related ability value.

[0091] Then, the intermediate matrix M is calculated according to the power grid operation task-personnel qualification requirement matrix T and the power grid worker qualification matrix Q.

[0092] M = T x Q T ;

[0093] Wherein, QT is the transpose matrix of Q.

[0094] The matrix G is calculated according to the matrix M.

[0095]

[0096] Wherein, M T is the transpose matrix of M.

[0097] According to the condition S ij >∑RD ij(1 < m, 1 < j < n), to obtain a set of job personnel list, that is, to obtain a complete set of power grid operation control personnel scheduling method based on considering equipment risk.

[0098] The technical solution described above can evolve into the following in a specific embodiment:

[0099] A certain power grid operation A type operation task has multiple subtasks, for example, the A type power grid operation has four subtasks, each subtask needs to have different ability requirements, and three operation personnel (y1, y2, y3) are needed to cooperate to complete the operation, the power grid operation task-personnel qualification matrix T and the power grid operation personnel qualification matrix Q are as follows, firstly, a set of power grid operation personnel preliminary list based on power grid operation personnel qualification can be obtained, subtasks I {y2, y3}, II {y2, y3}, III {y2, y3}, IV {y1, y3}; secondly, considering that the operation task is A type, the power grid operation task-ability matrix RD is obtained; finally, the power grid operation control personnel considering equipment risk is y3.

[0100]

[0101]

[0102] As can be seen from the above technical solution, the power equipment risk value is calculated by the equipment parameter, and the power equipment risk control level and the production operation risk level are obtained according to the power equipment risk value, and then the personnel list set is obtained by using the matrix calculation method according to the obtained operation category. The present application converts the qualitative problem into a quantitative problem, so that the power equipment risk control level division is more scientific and reasonable; at the same time, the matrix and the elements in the matrix are used as the means to simplify the analysis steps, realize the scheduling management of the operation personnel according to the actual power grid operation personnel qualification evaluation, match the power grid operation of the power equipment risk control with the operation personnel, reduce the power grid operation task allocation time, reduce the workload, and improve the power grid operation safety and efficiency.

[0103] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0104] It should be understood that the application is not limited to the precise construction which has been described above and illustrated in the accompanying drawings and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application is indicated only by the appended claims.

Claims

1. A method for personnel matching in power grid risk control operations, characterized in that, The method comprises: obtaining a device management request; the device management request includes device information; calling a plurality of device parameters corresponding to the device information; the device parameters include power equipment value factor, power equipment health degree factor, related load level factor and social influence factor; calculating the power equipment risk value according to the device parameters, including taking the product of all device parameters as the power equipment risk value; obtaining the power equipment risk management level corresponding to the power equipment risk value according to the risk management level division table; obtaining the production operation risk level corresponding to the power equipment risk value according to the production operation risk level division table; obtaining the operation category from the power equipment risk management level and the production operation risk level; obtaining the operation personnel list set corresponding to the device management request by using the relationship matrix according to the operation category and the device management request, wherein the step of obtaining the operation personnel list set corresponding to the device management request by using the relationship matrix according to the operation category and the device management request comprises: defining a power grid operation task-personnel qualification demand matrix T: a power grid operation personnel qualification matrix Q: a power grid task-operation personnel ability level matrix RD: a power grid operation personnel actual ability level matrix S: calculating an intermediate matrix M according to the power grid operation task-personnel qualification demand matrix T and the power grid operation personnel qualification matrix Q; M = T x Q T ; where Q T is the transpose of Q; calculating a matrix G according to the M matrix; where M T is the transpose of M; According to condition S ij >∑RD ij (1 < i < m, 1 < j < n), get the job personnel list set.

2. The method of claim 1, wherein, The method further comprises: periodically obtaining the power equipment health degree factor corresponding to all devices, and updating the new power equipment health degree factor as the device parameter to be called.

3. The method of claim 1, wherein, In the power grid task-operation personnel ability level matrix RD, the power grid operation level decision quantity OR considering the power equipment risk is used to measure the complexity and importance of the power grid operation task, and OR takes values of 0.25, 0.5, 0.75 or 1.

4. The method of claim 1, wherein, In the power grid operation personnel ability level matrix S, the element values are divided into five levels according to the personnel related ability values.

5. The method of claim 4, wherein, The calculation method of the personnel related ability value is: scoring each index corresponding to the power grid operation personnel according to a preset standard; the index includes title level, service length, skill level, violation record, job creation award, professional accomplishment, skill level and operation level; setting a weight value for each index; the score obtained according to the weight value and the score of each index is taken as the personnel related ability value.

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