Reservoir operation management assessment method fusing knowledge accumulation perspective and analytic hierarchy process

Abstract

The invention relates to a reservoir operation management assessment method integrating a knowledge accumulation view angle and an analytic hierarchy process, which is characterized by comprising the following steps of: performing business scene deep analysis on reservoir operation management work, and establishing a hierarchical structure model of a reservoir operation management work assessment system; based on the hierarchical structure model, constructing a judgment matrix of each hierarchical index; according to the judgment matrix of each level, solving the index weight of each level by adopting a'square root method '; checking the consistency of the judgment matrix, and verifying the consistency of the thinking logic of the judgment matrix generated by construction; the method comprises the following steps: extracting a certain number of reservoir samples, obtaining scores of multiple evaluators on each index of each level of the reservoir samples, and obtaining an index weight of each index of each level; determining the final index weight of each index of each level, and performing arrangement based on the final index weight to obtain the influence degree of the lowest layer on the uppermost layer; scoring each index of the bottommost layer of the hierarchical structure model; and calculating a reservoir operation management work assessment sub-item score and a comprehensive score upwards layer by layer.

Description

Technical Field

[0001] The present invention relates to a reservoir operation management assessment method integrating knowledge accumulation perspective and hierarchical analysis method, which is applicable to the technical field of water conservancy project management. Background Art

[0002] A reservoir is a water conservancy project that integrates flood prevention and disaster reduction, water supply and irrigation, power generation and shipping, and ecological improvement. Its operation status will directly affect regional production and life. However, the current reservoir management is mostly characterized by paying attention to reservoir construction and neglecting reservoir operation and management. If the daily operation and management of the reservoir is not in place, the service life of the reservoir will be greatly affected, and the economic and social benefits of the reservoir project will be difficult to fully guarantee.

[0003] In the process of carrying out reservoir operation management, problems such as chaotic management system, misplaced personnel, and lack of effective supervision often occur, and a standardized management system for reservoir operation has not been formed. At the same time, there is a lack of a comprehensive assessment system for reservoir operation management, and the quality of daily management work is difficult to fully grasp. The assessment and evaluation standards for management work are vague, and the evaluation results are greatly affected by the subjective wishes of the evaluators. The evaluation results are not convincing and lack reference value.

[0004] In response to the above problems, some domestic experts and scholars have conducted research on the standardized management system for reservoir operation, and the Ministry of Water Resources has issued the "Water Conservancy Project Management Assessment Methods and Assessment Standards" (Water Transport Management

[2019] No. 53), focusing on the formulation of scoring standards for the operation and management work assessment of large and medium-sized reservoir project management units. However, at present, the management indicators of various businesses in reservoir operation and management have not been effectively sorted out, and a quantitative assessment method for the workload and quality of management work has not been formed. Summary of the invention

[0005] The technical problem to be solved by the present invention is: in view of the above-mentioned problems, a reservoir operation management assessment method integrating knowledge accumulation perspective and hierarchical analysis method is provided.

[0006] The technical solution adopted by the present invention is: a reservoir operation management assessment method integrating knowledge accumulation perspective and hierarchical analysis method, characterized in that:

[0007] S1. Conduct in-depth analysis of business scenarios for reservoir operation and management, explore reservoir operation and management assessment indicators, and establish a hierarchical model of the reservoir operation and management assessment system based on the assessment indicators;

[0008] The hierarchical structure model is divided into several levels from top to bottom, and each indicator at the same level is subordinate to the indicator at the previous level or has an influence on the indicator at the previous level, and dominates the indicator at the next level or is affected by the indicator at the next level;

[0009] S2. Based on the hierarchical structure model, the judgment matrix of each level indicator is constructed according to the scaling method;

[0010] S3. According to the judgment matrix of each level, the “square root method” is used to solve the weight of the indicators at each level, and normalization is performed when solving the eigenvector of the maximum eigenroot;

[0011] S4, judgment matrix consistency test, verifying the consistency of the thinking logic of the judgment matrix constructed in step S2;

[0012] If the consistency check index meets the requirements, the consistency of the judgment matrix is ​​accepted, indicating that the index weight calculated in step S3 is logical;

[0013] If the consistency check index does not meet the requirements, return to step S2 and adjust some scores in the judgment matrix;

[0014] S5. A certain number of reservoir samples are drawn, and scores of multiple evaluators on each indicator of each level of the reservoir samples are obtained. Based on the subordinate relationship of each indicator at each level and the score of each indicator, the indicator weights of each level and each indicator are calculated by nonlinear programming method;

[0015] S6. Based on the logical indicator weights of each level in step S4 and the indicator weights of each indicator at each level in step S5, the final indicator weights of each indicator at each level are determined, and the influence of the lowest level on the highest level is obtained based on the final indicator weights.

[0016] S7. Score the indicators at the bottom of the hierarchy model in the reservoir operation and management work;

[0017] S8. Based on the final indicator weights of each indicator at each level and the scores of each indicator at the bottom of the hierarchical structure model, the sub-item scores and comprehensive scores of the reservoir operation and management work assessment are calculated layer by layer.

[0018] The hierarchical model is divided into four levels from top to bottom, including:

[0019] The first layer is the target layer, which is specifically the comprehensive score of reservoir operation and management;

[0020] The second layer is the business domain layer, which mainly focuses on the key assessment work of reservoir operation management, including organizational management, safety management, operation management and economic management;

[0021] The third layer is the business layer, which deeply explores the key items that need to be assessed in the various assessments of reservoir operation and management, and subdivides the specific operation and management business;

[0022] The fourth layer is the indicator layer, which incorporates the quantitative assessment indicators abstracted from each business into the reservoir project management work assessment indicators.

[0023] The “square root method” is used to solve the weights of indicators at each level, including:

[0024] The product Ni of the scores of each row in the judgment matrix is:

[0025] Calculate the nth root of Ni

[0026] Pair Vector Perform normalization:

[0027] Vector W = (w1, w2, ... w n ) T is the feature vector.

[0028] The verification step S2 verifies the consistency of the thinking logic of the judgment matrix constructed and generated, including:

[0029] The maximum eigenvalue of the judgment matrix λ max :

[0030] The consistency index CI of the judgment matrix deviation is:

[0031] Random consistency ratio CR: Among them, RI is the average random consistency index, which can be obtained from the random consistency index RI value table.

[0032] The step S5 comprises:

[0033]

[0034] st ω j >0

[0035] ω1+ω2+…+ω m =1

[0036] in, is the comprehensive score of the i-th indicator, i = 1, 2, ..., n; x ij is the score of the jth indicator belonging to the i-th indicator in the previous layer, j = 1, 2, ..., m; ω j is the weight of the jth indicator.

[0037] The comprehensive score of the i-th indicator include:

[0038]

[0039] in, is the score given by the k-th evaluator to the i-th indicator, k = 1, 2, …, h.

[0040] Step S6 comprises:

[0041] Based on the logical indicator weights of each level in step S4 and the indicator weights of each indicator at each level in step S5, the average value of each indicator weight is calculated to obtain the final indicator weights of each indicator at each level.

[0042] The reservoir operation and management work scores the indicators at the bottom of the hierarchical model, including:

[0043] There are two types of scoring. The first type is based on whether the task is completed. If completed, full marks will be awarded, and if not completed, no marks will be awarded. The second type is to calculate the percentage, with the completion ratio as the basis for assessment.

[0044] The beneficial effect of the present invention is as follows: in the present invention, a certain number of reservoir samples are extracted to obtain the scores of multiple evaluators on each indicator of each level of the reservoir samples, and based on the subordinate relationship of each indicator at each level and the score of each indicator, the indicator weights of each level and each indicator are calculated through a nonlinear programming method, thereby integrating the knowledge accumulation perspective into the reservoir operation management assessment method.

[0045] The present invention integrates the knowledge accumulation perspective and the hierarchical analysis method to carry out a reservoir operation management assessment method. Based on the knowledge accumulation perspective, it can make full use of historical evaluation data to generate expert evaluation knowledge. Combined with the hierarchical analysis method, it overcomes the shortcomings of the existing assessment system, such as vague evaluation standards, non-quantitative evaluation results and weak persuasiveness, which is conducive to promoting standardized, scientific and refined management of reservoirs.

[0046] The present invention integrates the knowledge accumulation perspective and the hierarchical analysis method to establish an overall hierarchical structure, in which the indicator layer is scored by constructing a judgment matrix, which is suitable for scoring reservoir managers who are familiar with engineering details; the business layer is scored by a nonlinear programming method, which is suitable for experts who are familiar with macro indicators and have rich experience. Finally, the comprehensive score of the reservoir is obtained through hierarchical structure fusion.

[0047] The present invention integrates the knowledge accumulation perspective and the hierarchical analysis method, making the reservoir operation management assessment method more suitable for the actual situation of the reservoir, accurately reflecting the relationship between various indicators, and improving the credibility of the results. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A flowchart of an embodiment.

[0049] Figure 2 It is a hierarchical structure diagram of the intelligent assessment index system for reservoir operation and management in the embodiment. DETAILED DESCRIPTION

[0050] This embodiment is a reservoir operation management assessment method integrating knowledge accumulation perspective and hierarchical analysis method, including the following steps:

[0051] S1. Conduct in-depth analysis of business scenarios for reservoir operation and management, explore assessment indicators for reservoir operation and management, and establish a hierarchical model of the reservoir operation and management assessment system based on the assessment indicators.

[0052] In the hierarchical model, the system is divided into several levels from top to bottom. The indicators at the same level are subordinate to the indicators at the upper level or have an influence on the indicators at the upper level, and dominate the indicators at the lower level or are affected by the indicators at the lower level.

[0053] In this embodiment, the system is divided into four levels from top to bottom, including:

[0054] The first layer is the target layer, which is the comprehensive score of reservoir operation and management work E o ;

[0055] The second layer is the business domain layer, which mainly focuses on the key assessment work of reservoir operation management, including organizational management, safety management, operation management and economic management. In this example, the two types of projects, safety management P1 and operation management P2, are taken as the key items of work assessment;

[0056] The third layer is the business layer, which deeply explores the key items that need to be assessed in the various assessments of reservoir operation and management, and subdivides the specific operation and management business according to different scenarios and types. The assessment scope covers registration B1, safety appraisal B2, flood control organization B3, emergency management B4, engineering inspection B5, engineering observation B6, hidden danger management B7, dispatching regulations B8, flood control dispatching B9, water quality management B1, etc. 10 wait;

[0057] The fourth layer is the indicator layer, which incorporates the quantitative assessment indicators abstracted from each business into the reservoir engineering management assessment indicators. Among them, the registration business B1 corresponds to the completion registration indicator C1, the safety appraisal business B2 corresponds to the on-time appraisal indicator C2, the flood control organization business B3 corresponds to the flood control emergency plan indicator C3 and the flood control emergency team indicator C4, the emergency management business B4 corresponds to the reservoir dam safety management emergency plan indicator C5, the plan approval C6 and the emergency drill indicator C7, the engineering inspection business B5 corresponds to the completion rate indicator C8 and the timeliness rate indicator C9, the engineering observation business B6 corresponds to the missing measurement rate indicator C 10 、Efficiency Index C 11 , Timely rate index C 12 and the measuring point integrity index C 13 , the hidden danger management business B7 corresponds to the timely elimination rate indicator C 14 , the dispatching procedure business B8 corresponds to the reservoir dispatching procedure indicator C 15 and dispatching procedures approval index C16 Flood control dispatching business B9 corresponds to the dispatching plan indicator C 17 and scheduling plan approval index C 18 , Water Quality Management Business B 10 Corresponding achievement rate indicator C 19 .

[0058] S2. Based on the hierarchical structure model, the judgment matrix of each level indicator is constructed according to the 1 to 9 scaling method. The principle is shown in Table 1.

[0059] Table 1 Basic principles of the 1-9 scaling method

[0060]

[0061] Get the judgment matrix

[0062] According to the above principle, the importance of the assessment indicators is designed and the matrix of this embodiment is constructed as shown below:

[0063] Table 2 Judgment Matrix OP

[0064]

[0065] Table 3 Judgment matrix P1-B

[0066]

[0067] Table 4 Judgment Matrix P2-B

[0068]

[0069] Table 5 Judgment Matrix B1-0

[0070]

[0071] Table 6 Judgment Matrix B2-C

[0072]

[0073] Table 7 Judgment Matrix B3-C

[0074]

[0075] Table 8 Judgment Matrix B4-C

[0076]

[0077] Table 9 Judgment Matrix B5-C

[0078]

[0079] Table 10 Judgment Matrix B6-C

[0080]

[0081] Table 11 Judgment Matrix B7-C

[0082]

[0083] Table 12 Judgment Matrix B8-C

[0084]

[0085] Table 13 Judgment Matrix B9-C

[0086]

[0087] Table 14 Judgment Matrix B 10 -C

[0088]

[0089] S3. After obtaining the above judgment matrix, calculate the weights of indicators at each level and use the "square root method" to solve it. Normalize it when solving the eigenvector of the maximum eigenvalue. The solution steps of the "square root method" are as follows:

[0090] The product of the scores of each row in the judgment matrix is ​​N i :

[0091] Calculate N i The nth root of

[0092] Pair Vector Perform normalization:

[0093] Vector W = (w1, w2, ... w n ) T is the feature vector.

[0094] By using the above-mentioned "square root method" solution steps to solve the weights of indicators at each level in turn, the relative weights of each matrix can be obtained, as shown in the following table:

[0095] Table 15 Relative weights of each matrix

[0096]

[0097]

[0098]

[0099]

[0100] S4, judgment matrix consistency test, verify the consistency of the judgment matrix thinking logic constructed in step S2, the steps are as follows:

[0101] The maximum eigenvalue of the judgment matrix λ max :

[0102] The consistency index CI of the judgment matrix deviation is:

[0103] Random consistency ratio CR: Among them, RI is the average random consistency index, which can be found in Table 16 below.

[0104] Table 16 Random consistency index RI value table

[0105]

[0106] If CR < 0.1, it indicates that the consistency test index meets the requirements, and the consistency of the judgment matrix is ​​considered acceptable. The weight vector W = (w1, w2, ... w n ) T The calculation is reasonable and logical; if CR>0.1, it indicates that the consistency test index does not meet the requirements, then return to step S2 and adjust some scores in the judgment matrix and recalculate.

[0107] According to the consistency check method described above, the following check results can be obtained in this embodiment: OP matrix: W = (0.666667, 0333333); P1-B matrix: W = (0.111111, 0.222222, 0.333333, 0.333333); P2-B matrix: W = (0.153846, 0.153846, 0.153846, 0.076923, 0.230769, 0.230769); B1-C matrix: W = (1); B2-C matrix: W = (1); B3-C matrix: W=(0.666667, 0333333); B4-C matrix: W=(0.333333, 0.166667, 0.5); B5-C matrix: W=(0333333, 0.666667); B6-C matrix: W=(0.142857, 0.285714, 0.428571, 0.142857); B7-C matrix: W=(1); B8-C matrix: W=(0.666667, 0333333); B9-C matrix: W=(0.666667, 0333333); B 10 -C matrix: W = (1).

[0108] Table 17 Relative weights of each matrix

[0109]

[0110]

[0111]

[0112] From the above table, we can determine the matrices OP, P1-B, P2-B, B1-C, B2-C, B3-C, B4-C, B5-C, B6-C, B7-C, B8-C, B9-C, B 10 The inconsistency of -C is within the allowable range and can be adopted.

[0113] S5. Based on the knowledge accumulation perspective, comprehensive evaluation knowledge about the operation and management of reservoirs is obtained. That is, a certain number of reservoir samples are extracted from all reservoirs, and the operation and management of these reservoirs are ranked by multiple experts. The weights of business-level indicators are calculated through nonlinear programming methods.

[0114] Three typical reservoirs s1, s2, and s3 were selected from all similar reservoirs. The operation and management of these reservoirs were ranked by four experts. The scores of expert k for the overall impression of typical reservoirs s1, s2, and s3 were (1000 points), as follows:

[0115]

[0116] pass Calculate and get The number of experts is 4 and the number of reservoirs is 3, so h=4, n==3.

[0117] Then let the experts rate the 10 business-level indicators of three typical reservoirs, namely x ij (i=1,2,…,n,j=1,2,…,m)

[0118]

[0119]

[0120]

[0121] stω j >0

[0122] ω1+ω2+…+ω m =1

[0123] x ij , Substitute the above nonlinear equation into the constraint condition, when the objective function is the minimum value, we get the business layer indicator weight ω=(ω1,ω2,…,ω m ) T is (0.073419, 0.100000, 0.100000, 0.010000, 0.165858, , 0.096997, 0.010000, 0.100000, 0.100000, 0.243726).

[0124] S6. Based on the logical indicator weights of each level in step S4 and the indicator weights of each indicator at each level in step S5, the average value of each indicator weight is calculated to determine the final indicator weights of each indicator at each level, and the degree of influence of the lowest level on the highest level is obtained based on the final indicator weights.

[0125] In this example, through the calculation and analysis of Table 17, we can obtain the total ranking of the C-layer indicators to the B-layer, the total ranking of the B-layer to the P-layer, and the total ranking of the P-layer to the O-layer, as shown in Tables 18, 19, and 20:

[0126] Table 18 Total ranking of C-layer indicators on B-layer

[0128]

[0129]

[0130]

[0131] Table 19 The total ranking of B-layer indicators on P-layer

[0132]

[0133] Table 20 Total ranking of P layer indicators for O layer

[0134]

[0135] S7. In the reservoir operation and management work, the fourth level indicators of the hierarchical model are scored. The scoring can be carried out according to the following standards:

[0136] The fourth level indicators are divided into two categories, the first category is based on whether the completion is completed. If completed, full marks are given, and if not completed, no marks are given, such as whether the registration is completed. The second category is to calculate the percentage, with percentage * 1000 or (1-percentage) * 1000 as the calculation score. For example, if the observed data efficiency is 96%, the calculation score of this indicator is 960 points. If the observed data missing rate is 30%, the calculation score of this indicator is 700 points. For indicators calculated by percentage, you can also set no-point rules, such as stipulating that no points will be given if the efficiency is less than 30%, if the efficiency is 20%, the indicator is 0 points, and if the efficiency is 50%, the calculation score of this indicator is 500.

[0137] The scores of the bottom-level indicators in this embodiment are shown in Table 21 below:

[0138] Table 21 Scoring of the indicators at the bottom level

[0139]

[0140] S8. Based on the final indicator weights of each indicator at each level in step S6 and the scores of each indicator at the bottom of the hierarchical structure model in step S7, the sub-item scores and comprehensive scores E of the reservoir operation and management work assessment are calculated layer by layer. o , the calculation formula is as follows:

[0141] E B1 =E C1 × C1 ; E B2 =E C2 × C2 ;

[0142]

[0143] E B7 =E C14 × C14 ;

[0144] E B10 =E C19 × C19 ;

[0145]

[0146]

[0147] Among them, E Ci is the score of the fourth-level indicator, w Ci is the weight value of each indicator in the fourth layer; E Bj is the score of the third layer (its value is calculated by the fourth layer), w Bjis the weight value of each indicator in the third layer; E Pz is the score of the second layer (its value is calculated by the third layer), w Pz is the weight value of each indicator in the second layer; E o It is the comprehensive score of the first layer.

[0148] In this embodiment, the scores of each indicator of the fourth layer are substituted into the indicator weights of each indicator of the layer obtained above, and the actual scores of each indicator of this layer (indicator layer C) are calculated, as shown in the following table 22:

[0149] Table 22

[0150]

[0151]

[0152] Substitute the actual scores of each indicator at the bottom layer into the calculation formula for each sub-item score to calculate the score of the upper layer (business layer B), as shown in Table 23 below:

[0153] Table 23

[0154]

[0155] Substitute the calculated scores of each indicator of the business layer B into the indicator weights of each indicator of the layer obtained above, and calculate the actual scores of each indicator of this layer (business layer B), as shown in the following table 24:

[0156] Table 24

[0157]

[0158] Substitute the actual scores of each indicator of the business layer B into the calculation formula of each sub-item score to calculate the score of the previous layer (business domain layer P), as shown in the following table 25:

[0159] Table 25

[0160]

[0161] The calculated scores of each indicator of the business domain layer P are substituted into the indicator weights of each indicator of the layer obtained above, and the actual scores of each indicator of this layer (business layer P) are calculated, as shown in the following table 26:

[0162] Table 26

[0163]

[0164] Substitute the actual scores of each indicator of the business domain layer P into the calculation formula of each sub-item score to calculate the comprehensive score of the previous layer (target layer O layer), as shown in the following table 27:

[0165] Table 27

[0166]

[0167] The preferred specific embodiments of the present invention are described in detail above. It should be understood that a person skilled in the art can make many modifications and changes based on the concept of the present invention without creating new work. Therefore, any technical solution that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the concept of the present invention on the basis of the prior art should be within the scope of protection determined by the claims.

Claims

1. A reservoir operation and management assessment method integrating knowledge accumulation perspective and analytic hierarchy process, Features: S1. Conduct in-depth analysis of business scenarios for reservoir operation and management, explore reservoir operation and management assessment indicators, and establish a hierarchical model of the reservoir operation and management assessment system based on the assessment indicators; The hierarchical structure model is divided into several levels from top to bottom, and each indicator at the same level is subordinate to the indicator at the previous level or has an influence on the indicator at the previous level, and dominates the indicator at the next level or is affected by the indicator at the next level; S2. Based on the hierarchical structure model, the judgment matrix of each level indicator is constructed according to the scaling method; S3. According to the judgment matrix of each level, the "square root method" is used to solve the weight of the indicators at each level, and the eigenvector of the maximum eigenroot is normalized when solving; S4, judgment matrix consistency test, verifying the consistency of the thinking logic of the judgment matrix constructed in step S2; If the consistency check index meets the requirements, the consistency of the judgment matrix is ​​accepted, indicating that the index weight calculated in step S3 is logical; If the consistency check index does not meet the requirements, return to step S2 and adjust some scores in the judgment matrix; S5. A certain number of reservoir samples are drawn, and scores of multiple evaluators on each indicator of each level of the reservoir samples are obtained. Based on the subordinate relationship of each indicator at each level and the score of each indicator, the indicator weights of each level and each indicator are calculated by nonlinear programming method; S6. Based on the logical indicator weights of each level in step S4 and the indicator weights of each indicator at each level in step S5, the final indicator weights of each indicator at each level are determined, and the influence of the lowest level on the highest level is obtained based on the final indicator weights. S7. Score the indicators at the bottom of the hierarchy model in the reservoir operation and management work; S8. Based on the final indicator weights of each indicator at each level and the scores of each indicator at the bottom of the hierarchical structure model, the sub-item scores and comprehensive scores of the reservoir operation and management work assessment are calculated layer by layer.

2. The reservoir operation management assessment method integrating knowledge accumulation perspective and analytic hierarchy process according to claim 1, It is characterized in that The hierarchical model is divided into four levels from top to bottom, including: The first layer is the target layer, which is specifically the comprehensive score of reservoir operation and management; The second layer is the business domain layer, which mainly focuses on the key assessment work of reservoir operation management, including organizational management, safety management, operation management and economic management; The third layer is the business layer, which deeply explores the key items that need to be assessed in the various assessments of reservoir operation and management, and subdivides the specific operation and management business; The fourth layer is the indicator layer, which incorporates the quantitative assessment indicators abstracted from each business into the reservoir project management work assessment indicators.

3. The reservoir operation management assessment method integrating knowledge accumulation perspective and analytic hierarchy process according to claim 1, It is characterized in that The "square root method" is used to solve the weights of indicators at each level, including: The product of the scores of each row in the judgment matrix is ​​N i : Calculate N i The nth root of Pair Vector Perform normalization: Vector W = (w 1 , w 2 , …w n ) T is the feature vector.

4. The reservoir operation management assessment method integrating knowledge accumulation perspective and analytic hierarchy process according to claim 1, It is characterized in that The verification step S2 verifies the consistency of the thinking logic of the judgment matrix constructed and generated, including: The maximum eigenvalue of the judgment matrix λ max : The consistency index CI of the judgment matrix deviation is: Random consistency ratio CR: Among them, RI is the average random consistency index, which can be obtained from the random consistency index RI value table.

5. The reservoir operation management assessment method integrating knowledge accumulation perspective and analytic hierarchy process according to claim 1, It is characterized in that The step S5 comprises: stω j >0 oh 1 +oh 2 +…+oh m =1 in, is the comprehensive score of the i-th indicator, i = 1, 2, ..., n; x ij is the score of the jth indicator belonging to the i-th indicator in the previous layer, j = 1, 2, ..., m; ω j is the weight of the jth indicator.

6. The reservoir operation management assessment method integrating knowledge accumulation perspective and analytic hierarchy process according to claim 5, Features: The comprehensive score of the i-th indicator include: in, is the score given by the kth evaluator to the i-th indicator, k = 1, 2, …, h.

7. The reservoir operation management assessment method integrating knowledge accumulation perspective and analytic hierarchy process according to claim 1, It is characterized in that Step S6 comprises: Based on the logical indicator weights of each level in step S4 and the indicator weights of each indicator at each level in step S5, the average value of each indicator weight is calculated to obtain the final indicator weights of each indicator at each level.

8. The reservoir operation management assessment method integrating knowledge accumulation perspective and analytic hierarchy process according to claim 1, It is characterized in that The reservoir operation and management work scores the indicators at the bottom of the hierarchical model, including: There are two types of scoring. The first type is based on whether the task is completed. If completed, full marks will be awarded, and if not completed, no marks will be awarded. The second type is to calculate the percentage, with the completion ratio as the basis for assessment.

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