Start-up decision-making method based on operation state evaluation of water pump unit

Abstract

The invention provides a start-up decision-making method based on operation state evaluation of a water pump unit. The start-up decision-making method comprises the steps that evaluation indexes are determined from safety, economy, time, water conservancy, sediment and the like; quantizing the score of each evaluation index based on the basic data of the pump station and the water regimen and work regimen data monitored in the scheduling operation process; respectively subjectively and objectively determining the weights of the evaluation indexes by using an analytic hierarchy process and an entropy evaluation method; combining the weights obtained by the two methods to obtain the final weight of the evaluation index; calculating the comprehensive score of the operation state based on the score of the single evaluation index of each unit and the final weight, and sorting the performance of the units based on the score; and starting or closing the corresponding remaining units according to a sorting result, and determining a running combination. The method has the advantages that the defect that the performance difference of the unit is ignored in the optimization scheduling research of the pump station is overcome, decision support is provided for making an optimization scheduling scheme and a maintenance plan, and the method has important significance for realizing safe and economic operation and intelligent construction of the pump station.

Description

Technical Field

[0001] The present invention relates to the technical field of optimal scheduling of large-scale water pumping stations, and particularly relates to a starting decision-making method based on the evaluation of the operating state of pump units. Background Art

[0002] As an important regulatory building in the cross-basin water diversion project, the optimal scheduling of the pumping station has always been the focus of scholars' research. However, most of these studies are limited to calculating the number of starting units, starting flow rate, blade angle, etc. through the optimal scheduling model of the pumping station, while ignoring the selection of unit combinations. Most pumping stations use units of the same model during design and selection. However, during actual operation, due to differences in the operating duration, hydraulic characteristics, component losses, etc. of each unit, there are differences in the actual performance of units of the same model. Therefore, how to evaluate the operating state of units and optimize the operating combination, so as to provide reasonable decision-making support for formulating the optimal scheduling plan and maintenance plan, is of great significance for realizing the safe, economic operation and intelligent construction of the pumping station.

[0003] After consulting the literature, it is found that the current evaluation of pump units mostly focuses on the health state of the units themselves, while ignoring the evaluation of the operating state and operating effect of the units. At the same time, the on-site scheduling work is relatively blind for the state decision-making of the units. Most of them combine manual scheduling experience, and the starting combination is relatively arbitrary, lacking scientificity. Summary of the Invention

[0004] The purpose of the present invention is to provide a starting decision-making method based on the evaluation of the operating state of pump units, so as to solve the foregoing problems existing in the prior art.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0006] A starting decision-making method based on the evaluation of the operating state of pump units includes the following steps:

[0007] S1. Determination of evaluation indicators: Combining the actual situation of the pumping station, determine the evaluation indicators from the categories of safety, economy, time, water conservancy, and sediment.

[0008] S2. Quantification of evaluation indicators: Based on the basic data of the pumping station and the water regime and working condition data monitored during the scheduling operation, adopt a quantification method to quantify the scores of each evaluation indicator.

[0009] S3. Determination of index weights: Use the analytic hierarchy process and entropy method to construct an evaluation system for the operating state of the unit respectively, and determine the weights of the evaluation indicators subjectively and objectively.

[0010] S4. Evaluation and ranking of unit operation status: Combine the weights obtained by the analytic hierarchy process and the entropy method to obtain the final weights of each evaluation index; Calculate the comprehensive operation status score based on the scores of each unit's single evaluation index and the final weights, and rank the unit performance based on the comprehensive score;

[0011] S5. Determination of the operating combination: On the basis of not changing the existing operating combination, according to the ranking results, select to start or stop the corresponding remaining units to determine the unit operating combination.

[0012] Preferably, in step S1,

[0013] The safety evaluation indexes include the temperature health value, vibration health value, and swing health value;

[0014] The economic evaluation indexes include the unit energy consumption;

[0015] The time-scale evaluation indexes include the continuous operation duration and the cumulative operation duration;

[0016] The water conservancy characteristic evaluation indexes include the flow velocity distribution uniformity and the velocity-weighted average angle;

[0017] The sediment-related evaluation indexes include the degree of equipment deterioration and the degree of sediment deposition.

[0018] Preferably, step S2 specifically includes the following contents,

[0019] S21. Determine the good evaluation indexes according to the actual situation of the pumping station, collect the basic data of the pumping station and the water regime and working condition data monitored during the dispatching operation, and clean these data to eliminate outliers;

[0020] S22. Adopt a quantification method to process the evaluation indexes into dimensionless numerical forms, and obtain the scores of each evaluation index based on the above-cleaned data; For the problem of unable to obtain the operation data of unstarted units, calculate by comparing and selecting the data under historical similar working conditions.

[0021] Preferably, the quantification method of each evaluation index is,

[0022] (1) Healthiness of temperature, vibration and swing:

[0023]

[0024] Among them, S HE is the score of the equipment healthiness index, and the higher the score, the better the equipment healthiness; S te is the temperature healthiness; S v is the vibration healthiness; S th is the swing healthiness;

[0025] (2) Energy consumption per unit:

[0026]

[0027] Wherein, S EN is the index score of energy consumption per unit. The higher the score, the lower the energy consumption per unit of the unit; E is the energy consumption per unit of the unit; E min is the minimum energy consumption per unit among each unit of the pumping station at the evaluation moment; W0 is the power consumption value of the unit; ρ is the density of water; Q is the flow rate of the pump group; H0 is the head; t is the water lifting time;

[0028] (3) Continuous operation duration:

[0029]

[0030] Wherein, S CT is the index score of continuous operation duration; T is the continuous operation duration of the unit at the evaluation moment. If the unit is not started, then T = 0; is the historical average continuous operation duration of the unit;

[0031] (4) Cumulative operation duration:

[0032]

[0033] Wherein, S AT is the index score of cumulative operation duration; T a is the cumulative operating hours of the unit; T max is the maximum cumulative operating hours of each unit in the pumping station;

[0034] (5) Flow velocity distribution uniformity:

[0035]

[0036] Wherein, S Vu is the flow velocity distribution uniformity score; is the average axial velocity of the cross-section; u ai is the axial velocity of each unit of the cross-section; m0 is the number of units of the cross-section;

[0037] (6) Velocity weighted average angle:

[0038]

[0039] Wherein, is the velocity weighted average angle score; u ai is the axial velocity of each unit of the cross-section; u ti is the transverse velocity of each unit of the cross-section;

[0040] (7) Degree of equipment deterioration:

[0041] SDE = 0.5 * S IM + 0.5 * S BE

[0042] Wherein, S DE is the equipment deterioration degree index score. The higher the score, the smaller the equipment deterioration degree; S IM is the blade health; S BE is the bearing health;

[0043] (8) Sediment deposition degree:

[0044]

[0045] Among them, S SA is the sediment deposition degree index score. The higher the score, the less the sediment deposition and the better the water conveyance capacity; i0 is the sediment deposition grade of the forebay; H is the sediment deposition height.

[0046] Preferably, step S3 specifically includes the following contents

[0047] S31. Use the analytic hierarchy process to construct an evaluation system for the operation status of the unit. According to the focus of work of dispatchers and subjective evaluation factors such as expert evaluation, determine the first weight judgment matrix of evaluation indicators. Through single sorting of levels, calculate the weights of evaluation indicators subjectively. Finally, conduct a consistency test on the first weight judgment matrix and dynamically adjust the weights of evaluation indicators according to the actual situation;

[0048] S32. Use the entropy method to construct an evaluation system for the operation status of the unit. According to the historical measured operation data of each pump unit, construct the second weight judgment matrix of evaluation indicators and calculate the weights of evaluation indicators objectively.

[0049] Preferably, S31 specifically includes the following contents

[0050] S311. Establish a hierarchical structure, dividing it into an objective layer, a criterion layer, and a scheme layer; the objective layer is the purpose of decision-making, that is, to select the best combination for operation; the criterion layer is the factors considered in the decision-making process, that is, evaluation indicators; the scheme layer is the alternatives available during decision-making, that is, different unit combination schemes;

[0051] S312. Compare each pair of evaluation indicators to determine their relative importance, introduce a scale representing the degree of importance, and construct the first weight judgment matrix of evaluation indicators;

[0052] S313. Calculate the weight vector of each evaluation indicator through the first weight judgment matrix; the calculation formula is

[0053]

[0054]

[0055] W = (w1, w2,..., w N )

[0056] where P ij is the estimated value of the relative importance of comparing the i-th evaluation index with the j-th evaluation index; W is the weight vector of each evaluation index;

[0057] S314. Conduct a consistency test on the first weight judgment matrix to determine whether the weight setting is reasonable; the calculation formula is

[0058]

[0059] where C.I. is the consistency index, the larger C.I. is, the more serious the inconsistency of the first weight judgment matrix is; λ max is the largest eigenvalue of the first weight judgment matrix; n0 is the order of the first weight judgment matrix; C.R. is the consistency ratio. When C.R. < 0.1, it is considered that the first weight judgment matrix is basically consistent, otherwise the first weight judgment matrix needs to be corrected; R.I. is the random consistency index, and its value is related to the order of the first weight judgment matrix;

[0060] S315. Dynamically adjust the weights of evaluation indexes under different conditions.

[0061] Preferably, step S315 is specifically as follows

[0062] Considering different water transfer properties: During normal water transfer, the most important thing is to ensure the safe and stable operation of water transfer. At this time, the weight of the safety evaluation index is the largest; when performing an emergency water transfer task, while ensuring safety, increase the weight of the evaluation index related to flow rate;

[0063] Considering seasonal factors: During water transfer in the ice period, it is necessary to ensure a high operating water level. At this time, increase the weight of the evaluation index related to water level.

[0064] Preferably, S32 specifically includes the following contents

[0065] S321. Based on the measured data of each evaluation index of multiple units at a certain moment, construct the second weight judgment matrix of the evaluation index;

[0066]

[0067] where m is the number of evaluation indexes; n is the number of samples, that is, the number of units; x nm is the value of the m-th index of the n-th unit;

[0068] S322. Standardize the data in the second judgment matrix and uniformly perform a translation process on the standardized data;

[0069] Treatment for positive indicators,

[0070]

[0071] Treatment for negative indicators,

[0072]

[0073] Translation process,

[0074] y i'j ′ = y i'j + 0.01

[0075] where x i'j , min(x i'j ), max(x i'j ) are the value, minimum value, and maximum value of the jth evaluation index of the i'-th unit respectively; y i'j ′ is the index data after the translation process;

[0076] S323. Calculate the weights of the evaluation indicators;

[0077]

[0078] where p i'j is the value of the evaluation index after normalization; e j is the information entropy of the evaluation index; d j is the difference coefficient of the evaluation index; v j is the weight of the evaluation index.

[0079] Preferably, step S4 is specifically as follows,

[0080] S41. Combine the weights obtained by the analytic hierarchy process and the entropy method to obtain the final weights of each evaluation index. The calculation formula is,

[0081]

[0082] where w j is the weight of the jth evaluation index calculated by the analytic hierarchy process; v j is the weight of the jth evaluation index calculated by the entropy method; k j is the final weight of the jth evaluation index.

[0083] S42. Select a certain moment for evaluation. According to the single evaluation index scores and final weights of each unit, calculate the comprehensive operation status score. The calculation formula is,

[0084] S = S1×k1 + S2×k2 + … + S N ×k N

[0085] where S is the comprehensive score of the unit operation status; k1, k2, ..., k N are the final weights of each evaluation index; S1, S2, ..., S N are the scores of each single evaluation index;

[0086] S43. Sort the comprehensive scores from large to small to determine the ranking of the unit operation status.

[0087] Preferably, step S5 is specifically as follows: Combining the number of operating units required by the pumping station, the ranking of the operation status scores, and the current startup combination, following the startup and shutdown principles, on the basis of not changing the existing operation combination, start the units with higher rankings or shut down the units with lower rankings from the remaining units to determine the operation combination of the units put into operation.

[0088] The beneficial effects of the present invention are as follows: 1. According to the situation that the single monitoring index of the water pump unit cannot reflect the overall operation status of the unit, the present invention method lists representative evaluation indexes from five categories of economy, safety, time, hydraulic characteristics, and sediment, and proposes a comprehensive evaluation method for the operation status of units applicable to all types of pumping stations. 2. Aiming at the characteristics of multi-sediment incoming water pumping stations, the present invention method proposes sediment-related evaluation indexes, making up for the shortcomings that the general unit evaluation method cannot meet its characteristics, and improving the evaluation research on the units of multi-sediment incoming water pumping stations. 3. The present invention method introduces the analytic hierarchy process and the entropy method to construct the unit operation status evaluation system respectively, and obtains more reasonable and objective weights by integrating subjective and objective aspects. Combining the startup and shutdown principles of the water pump unit, it provides a scientific unit status decision-making and combination optimization method, providing reasonable decision-making support for the optimal dispatching of the pumping station. Brief Description of the Drawings

[0089] Figure 1 is the flowchart of the startup decision method in the embodiment of the present invention;

[0090] Figure 2 is the hierarchical structure diagram established by using the analytic hierarchy process in the embodiment of the present invention;

[0091] Figure 3 is the effect diagram of the unit operation status evaluation method in the embodiment of the present invention. Detailed Embodiments

[0092] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0093] Example 1

[0094] As Figure 1 shown, in this embodiment, a starting decision-making method based on the operation status evaluation of a pump unit is provided. This method determines evaluation indicators in combination with the actual situation of the pump station, collects and cleans the data required for evaluation, and uses a quantification method to process the evaluation indicators into a dimensionless numerical form to obtain the scores of individual evaluation indicators. The analytic hierarchy process and the entropy method are respectively used to construct an evaluation system for the operation status of the unit, and the weights of the evaluation indicators are calculated. By combining the two weights, a more reasonable and objective weight of the evaluation indicator is obtained, and the comprehensive operation status scores of each unit are calculated. When unit mobilization is required, the operation status of each unit is evaluated and sorted according to the scores. Following the starting and stopping principles, on the basis of not changing the existing operation combination, the units ranked higher are started or the units ranked lower are shut down from the remaining units to determine the operation combination of the units put into operation, providing decision-making reference for the optimal dispatching of the pump station. This method makes up for the shortcoming that the performance differences of units are often ignored in the research on the optimal dispatching of pump stations, proposes a scientific way to make decisions on starting and stopping, adjusts the units in combination with the current operation situation, provides decision-making support for formulating the optimal dispatching plan and maintenance plan, and is of great significance for realizing the safe, economic operation and intelligent construction of the pump station. This method includes the following five parts,

[0095] I. Determination of evaluation indicators

[0096] Combined with the actual situation of the pump station, evaluation indicators are determined from the categories of safety, economy, time, water conservancy, and sediment.

[0097] Specifically: Evaluation indicators are determined from the following five categories:

[0098] (1) Safety indicators: Temperature health value, vibration health value, swing health value.

[0099] (2) Economic indicators: Unit energy consumption.

[0100] (3) Time-scale indicators: Continuous operation duration, cumulative operation duration.

[0101] (4) Water conservancy characteristic indicators: Flow velocity distribution uniformity, velocity-weighted average angle.

[0102] (5) The above four types of indicators are applicable to all types of pump stations. For a high-sediment intake pump station, sediment-related indicators need to be considered: Equipment deterioration degree, sediment deposition degree.

[0103] Specific evaluation indicators can be selected, increased or decreased according to the actual situation of the pump station.

[0104] II. Quantification of evaluation indicators

[0105] Based on the basic data of the pumping station and the water regime and operation data monitored during the dispatching operation, a quantification method is used to quantify the scores of various evaluation indicators. The specific contents are as follows:

[0106] 2.1. Determine good evaluation indicators according to the actual situation of the pumping station, collect the basic data of the pumping station and the water regime and operation data monitored during the dispatching operation, and clean these data to eliminate outliers.

[0107] The basic data includes the operation flow range of the pumping station, the head range of the pumping station, the operation flow range of the unit, the hydraulic drawings of the pumping station, etc. The monitored data includes the downstream water level of the pumping station, the upstream water level of the pumping station, the pumping station flow, the single-unit flow, the unit shaft power, the unit operation efficiency, the unit energy consumption per unit, the motor current, the rotational speed, the blade angle, the temperature, the vibration, the swing, the cumulative operation hours of the unit, the continuous operation duration of the unit, etc.

[0108] 2.2. Adopt a quantification method to process the above evaluation indicators into dimensionless numerical forms to obtain the single-item evaluation indicator scores. Each score is between 0 and 100. The higher the score, the better the evaluation of the unit in this evaluation indicator. For the problem of unable to obtain the operation data of the unstarted unit, data under historical similar working conditions are selected for calculation by comparison to ensure the accuracy of the evaluation.

[0109] (1) Temperature, vibration, and swing health

[0110] The health of equipment temperature, vibration, and swing is scored on a 100-point scale for the real-time temperature, vibration, and swing health status of the unit based on the temperature quantities such as the core, coil, bearing temperature, oil temperature, and ambient temperature of the pump unit, the vibration quantities such as the vibration of the frame, housing, stator, and axial direction, the swing quantities in the X / Y directions of the upper guide, lower guide, and water guide, and the on-line monitored operation parameters such as the motor current, active power, rotational speed, blade angle, flow, and the water levels of the inlet and outlet pools of the pumping station. According to the temperature, vibration, and swing health, the overall health status of the equipment can be calculated, which is called the equipment health. The equipment health does not directly participate in the scoring, but serves as a rigid constraint evaluation indicator to judge whether the unit participates in the operation. Set a health threshold according to the actual situation of the pumping station unit. If the calculated health is lower than the threshold, the unit status is unhealthy and does not participate in the final scoring and ranking. The quantification method is as follows:

[0111]

[0112] In the formula, S HE is the score of the equipment health indicator, and the higher the score, the better the equipment health; S te is the temperature health; S v is the vibration health; S th is the swing health.

[0113] (2) Energy consumption per unit

[0114] The energy consumption per unit of the pump unit refers to the electric energy consumed by the pump unit to lift 1 thousand tons of water by 1 meter, which reflects the operating efficiency of the unit. Selecting a unit with higher efficiency is conducive to saving energy and costs. The energy consumption per unit is calculated from the data monitored in real time, and the quantification method is as follows:

[0115]

[0116] In the formula, S EN is the score of the energy consumption per unit index. The higher the score, the smaller the energy consumption per unit of the unit; E is the energy consumption per unit of the unit, kW·h / (kt·m); E min is the minimum energy consumption per unit among all the pump units in the pumping station at the evaluation moment, kW·h / (kt·m); W0 is the power consumption value of the unit, kW·h; ρ is the density of water, kg / m 3 ; Q is the flow rate of the pump group, m 3 / s; H0 is the head, m; t is the water lifting time, h.

[0117] (3) Continuous operation duration

[0118] The continuous operation duration is directly obtained from the on-line monitoring system of the pumping station. This index focuses on whether the continuous operation duration of the pump unit exceeds the historical average continuous operation duration. If the continuous operation duration exceeds the historical average value, it proves that the unit is not suitable for continued operation. The quantification method is as follows:

[0119]

[0120] In the formula, S CT is the score of the continuous operation duration index; T is the continuous operation duration of the unit at the evaluation moment, h. If the unit is not started, then T = 0; is the historical average continuous operation duration of the unit, h.

[0121] (4) Cumulative operation duration

[0122] The cumulative operation duration is directly obtained from the on-line monitoring system of the pumping station. This index reflects the operating performance of the unit. The performance of the unit deteriorates continuously with the increase of the cumulative operation duration. The quantification method is as follows:

[0123]

[0124] In the formula, S AT is the score of the cumulative operation duration index; T a is the cumulative operating hours of the unit, h. It should be noted that after each major overhaul of the unit, the cumulative operation duration is updated; T max is the maximum cumulative operating hours of each unit in the pumping station.

[0125] (5) Flow velocity distribution uniformity

[0126] The velocity distribution uniformity refers to the velocity distribution uniformity at the inlet section of the water pump, which reflects the quality of the inflow condition of the unit. Poor inflow conditions will cause the vibration of the unit and affect the operation efficiency of the unit. Therefore, based on the three-dimensional numerical simulation method, the flow patterns under different starting combinations are simulated, and the units with better velocity uniformity are selected. The calculation formula is as follows:

[0127]

[0128] In the formula, S Vu is the velocity distribution uniformity score; is the average axial velocity of the section, m / s; u ai is the axial velocity of each unit of the section, m / s; m0 is the number of units of the section.

[0129] (6) Velocity weighted average angle

[0130] The velocity weighted average angle reflects the velocity uniformity of the inlet section of the water pump. Based on the three-dimensional numerical simulation method, the flow patterns under different starting combinations are simulated, and the units with better velocity weighted average angles are selected. The quantification method is as follows:

[0131]

[0132] In the formula, is the velocity weighted average angle score; u ai is the axial velocity of each unit of the section, m / s; u ti is the transverse velocity of each unit of the section, m / s.

[0133] (7) Degree of equipment deterioration

[0134] The degree of equipment deterioration is an index for the characteristics of a sediment-laden water pump station. During the operation of the water pump, sediment deteriorates the pump components from two aspects: the impeller and the bearing. Sediment particles impact the impeller, resulting in impeller wear, and a high sediment concentration in the water leads to a large bearing load. Therefore, the degree of deterioration is based on two indicators: impeller health and bearing health. The quantification method is as follows:

[0135] S DE = 0.5 * S IM + 0.5 * S BE

[0136] In the formula, S DE is the equipment deterioration degree index score. The higher the score, the smaller the degree of equipment deterioration; S IM is the impeller health; S BE is the bearing health.

[0137] (8) Degree of sediment deposition

[0138] The sediment deposition degree is an index for the characteristics of pumping stations with high sediment-laden water. The large sediment content in the incoming water causes sediment deposition in the forebay of the pumping station, blocking the inlet flow channel and seriously affecting the normal water conveyance capacity of the pumping station. The sediment deposition degree is based on the monitoring data of sediment parameters under different inflow conditions (sediment content, flow rate). The three-dimensional numerical simulation method is used to evaluate the sediment deposition under different operating conditions, and the sediment deposition height in the forebay is used to divide the safety, relatively safe, warning, and dangerous levels. The quantification method is as follows:

[0139]

[0140] In the formula, S SA is the index score of the sediment deposition degree. The higher the score, the less sediment deposition and the better the water conveyance capacity; i0 is the sediment deposition level in the forebay; H is the sediment deposition height, m.

[0141] III. Determination of Index Weights

[0142] The analytic hierarchy process (AHP) and the entropy method are respectively used to construct the evaluation system for the operating state of the unit, and the weights of the evaluation indicators are determined subjectively and objectively. The specific contents are as follows:

[0143] 3.1. Use the analytic hierarchy process to construct the evaluation system for the operating state of the unit. According to the focus of work of dispatchers and expert evaluations of these subjective evaluation factors, determine the first weight judgment matrix of the evaluation indicators. Through the single ranking of the hierarchy, calculate the weights of the evaluation indicators subjectively. Finally, conduct a consistency test on the first weight judgment matrix and dynamically adjust the weights of the evaluation indicators according to the actual situation. Specifically:

[0144] (1) As Figure 2 shown, establish a hierarchical structure, which is divided into the following three levels to clarify the evaluation significance.

[0145] a. Goal layer: The highest layer, which is the purpose of decision-making. In this method, it is to select the best combination for commissioning.

[0146] b. Criterion layer: The factors considered in the decision-making process, that is, the evaluation indicators.

[0147] c. Scheme layer: The schemes available for selection during decision-making, that is, different unit combination schemes.

[0148] (2). Compare the evaluation indicators pairwise to determine their relative importance, introduce a scale to represent the degree of importance, and construct the first weight judgment matrix of the indicators. The first weight judgment matrix is as follows:

[0149]

[0150]

[0151] Element P in the matrix ij Represents P i And P j The estimated relative importance of comparison, by introducing the numbers 1 - 9 as a scale to illustrate the degree of importance, which is obtained based on the experience of pump station dispatchers, the focus of dispatch operation, expert evaluation, etc. The scale of importance is as follows:

[0152]

[0153] (3) Hierarchical single sorting, that is, calculating the weight vector of indicators through the weight judgment matrix. Usually, the square root method is used for calculation, and the calculation formula is as follows:

[0154]

[0155] W is the weight vector of each evaluation indicator.

[0156] (4) Consistency test. To avoid logical problems in the setting of matrix weight coefficients and contradictory situations, it is necessary to conduct a consistency test on the judgment matrix. The test process is as follows:

[0157]

[0158] Among them, C.I. is the consistency index. The larger C.I. is, the more serious the inconsistency of the judgment matrix; λ max Is the maximum eigenvalue of the matrix; n0 is the order of the matrix.

[0159]

[0160] C.R. is the consistency ratio. When C.R. < 0.1, it is considered that the judgment matrix is basically consistent, otherwise the judgment matrix needs to be corrected; R.I. is the random consistency index, and its value is related to the order of the matrix. The numerical values are as follows:

[0161]

[0162] (5). Dynamically adjust the weight coefficients of evaluation indicators under different circumstances.

[0163] a. Consider the different nature of water transfer. During regular water transfer, the most important thing is to ensure the safe and stable operation of water transfer. At this time, the safety index is given the maximum weight. When performing an emergency water transfer task, while ensuring safety, increase the weight of flow-related indicators.

[0164] b. Consider seasonal factors. During water transfer in the ice period, it is necessary to ensure a relatively high operating water level. At this time, the weight of water level-related indicators can be increased.

[0165] 3.2. Construct an evaluation system for the operating status of the unit using the entropy value method. Construct a second weight judgment matrix for the evaluation indicators based on the historical measured operating data of each pump unit, and objectively calculate the weights of the evaluation indicators to reduce the subjectivity of the evaluation results. Specifically:

[0166] (1) Construct the second weight judgment matrix. The measured data of each evaluation indicator of multiple units at a certain moment are constructed into the following judgment matrix:

[0167]

[0168] Among them, m is the number of evaluation indicators, n is the number of samples, that is, the number of units, and x nm is the value of the m-th indicator of the n-th unit.

[0169] (2). Data processing. To eliminate the influence of different dimensions, orders of magnitude, etc. and facilitate the calculation of weights, the following extreme value method is used to standardize the data:

[0170] Processing formula for positive indicators:

[0171]

[0172] Processing formula for negative indicators:

[0173]

[0174] The standardized data are uniformly translated to avoid some indicator values being 0 or negative, which cannot be used for subsequent calculations. The processing method is as follows:

[0175] y i'j ′ = y i'j + 0.01

[0176] (3). Weight calculation.

[0177]

[0178] Among them, p i'j is the value of the indicator after normalization, e j is the information entropy of the indicator, d j is the difference coefficient of the indicator, v j is the weight of the indicator.

[0179] IV. Evaluation and ranking of the operating status of the unit

[0180] Combine the weights obtained by the analytic hierarchy process and the entropy value method to obtain the final weights of each evaluation indicator; calculate the comprehensive score of the operating status based on the scores of each unit's single evaluation indicator and the final weights, and rank the unit performance based on the comprehensive score. The specific contents are as follows,

[0181] 4.1. Combine the weights obtained by the analytic hierarchy process and the entropy method to obtain the final weights of each evaluation index. The calculation formula is as follows:

[0182]

[0183] where w j is the weight of the j-th evaluation index calculated by the analytic hierarchy process; v j is the weight of the j-th evaluation index calculated by the entropy method; k j is the final weight of the j-th evaluation index.

[0184] 4.2. Select a certain moment for evaluation. According to the scores of the single evaluation indexes of each unit and the final weights, calculate the comprehensive score of the operation state. The calculation formula is as follows:

[0185] S = S1×k1 + S2×k2 + … + S N ×k N

[0186] where S is the comprehensive score of the unit operation state; k1, k2, …, k N are the final weights of each evaluation index; S1, S2, …, S N are the scores of each single evaluation index.

[0187] 4.3. Sort the comprehensive scores from large to small to determine the ranking of the unit operation state.

[0188] V. Determination of the operating combination

[0189] On the basis of not changing the existing operating combination, according to the sorting result, select to turn on or off the corresponding remaining units to determine the unit operating combination.

[0190] Specifically: Combining the number of units required for operation in the pumping station, the sorting of the operation state scores, and the current starting combination, following the principles of starting and stopping units, on the basis of not changing the existing operating combination, turn on the units with higher rankings or turn off the units with lower rankings from the remaining units to determine the unit operating combination.

[0191] Example 2

[0192] To better illustrate the execution process of the method of the present invention, this example takes the Dayuzhang Pumping Station of the Jiaodong Water Diversion Project as an example to construct and display the operation state evaluation system of the water pump units based on this method, including the following steps:

[0193] I. Determination of evaluation indexes

[0194] Dayuzhang Pumping Station is the first-level pumping station of the Jiaodong Water Diversion Project. It is equipped with five sets of units of the same model, directly pumping the Yellow River water, with a high sediment content. The sediment greatly affects the safe operation of Dayuzhang Pumping Station. Therefore, in combination with the actual situation of the pumping station, a few comprehensive variables are used to replace multi-dimensional variables to avoid a complicated evaluation system, and the following evaluation indicators are determined:

[0195] (1) Safety indicators: temperature health value, vibration health value, swing health value;

[0196] (2) Economic indicators: unit energy consumption;

[0197] (3) Time-scale indicators: continuous operation duration, cumulative operation duration;

[0198] (4) Sediment-related indicators: equipment deterioration degree, sediment deposition degree.

[0199] II. Quantification of evaluation indicators

[0200] Collect and clean the required data, select a certain moment for unit status evaluation, and the evaluation index parameters are shown in Table 1.

[0201] Table 1 Evaluation index parameters

[0202]

[0203]

[0204] The scores of single evaluation indicators are obtained by using the quantification method as shown in Table 2.

[0205] Table 2 Scores of one-way evaluation indicators

[0206]

[0207] Set 60 as the equipment health threshold. The equipment health of the five units is qualified, and all participate in scoring and ranking.

[0208] III. Determination of evaluation index weights

[0209] (3.1) Determination of index weights by the analytic hierarchy process

[0210] Construct an evaluation system. According to the focus of work of the dispatchers of Dayuzhang Pumping Station and expert evaluation, the importance of indicators is obtained, and the first weight judgment matrix of evaluation indicators is shown in Table 3.

[0211] Table 3 First weight judgment matrix

[0212]

[0213] Through the single sorting of the hierarchy, the index weights are obtained as shown in Table 4.

[0214] Table 4 Index Weights

[0215]

[0216] After calculation, C.R. = 0.00296 < 0.1, the consistency test is passed, and the weight setting is reasonable and can be put into use.

[0217] (3.2) Determining Index Weights by Entropy Value Method

[0218] Since the equipment health degree is used as a judgment value and does not participate in the scoring, the measured values of the remaining evaluation indexes at the evaluation moment are constructed into a matrix as shown in Table 5.

[0219] Table 5 Second Weight Judgment Matrix

[0220]

[0221] Through data processing and weight calculation, the index weights are obtained as shown in Table 6.

[0222] Table 6 Index Weights

[0223]

[0224] IV. Evaluation and Ranking of Unit Operating Status

[0225] Combining the weights obtained by the analytic hierarchy process and the entropy value method, the final weights of the evaluation indexes are obtained as shown in Table 7.

[0226] Table 7 Final Weights

[0227]

[0228] According to the scores of individual indexes of each unit and the final weights, the recommended operating order of the units is Unit 5 - Unit 3 - Unit 2 - Unit 1 - Unit 4. The comprehensive scores of the operating status are calculated as shown in Table 8.

[0229] Table 8 Comprehensive Scores of Operating Status

[0230]

[0231] V. Determination of Operating Combinations

[0232] As Figure 3 shown, according to the dispatching requirements, the number of units to be started needs to be increased to 3. The currently operating units are Unit 2 and Unit 3. Following the principle of starting and stopping units, among the remaining unstarted units, Unit 1, Unit 4, and Unit 5, the Unit 5 with the highest operating status score is selected. Therefore, the operating combination determined is Unit 2, Unit 3, and Unit 5.

[0233] By adopting the above technical solutions disclosed in the present invention, the following beneficial effects are obtained:

[0234] The present invention provides a starting decision-making method based on the operation state evaluation of a water pump unit. In view of the situation that the overall operation state of the unit cannot be reflected by a single monitoring index of the water pump unit, representative evaluation indexes are listed from five categories: economy, safety, time, hydraulic characteristics, and sediment, and a comprehensive evaluation method for the operation state of the unit applicable to all pump station types is proposed. Aiming at the characteristics of a multi-sediment incoming water pump station, the present invention method proposes sediment-related evaluation indexes, making up for the shortcoming that the general unit evaluation method cannot meet its characteristics and perfecting the evaluation research on the units of multi-sediment incoming water pump stations. The present invention method introduces the analytic hierarchy process and the entropy method to construct the operation state evaluation system of the unit respectively, and obtains more reasonable and objective weights by integrating subjective and objective aspects. Combining the starting and stopping principles of the water pump unit, a scientific unit state decision-making and combination optimization method is provided, providing reasonable decision-making support for the optimal dispatching of the pump station.

[0235] The above are only the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also fall within the protection scope of the present invention.

Claims

1. A starting decision-making method based on the operation status evaluation of a water pump unit, characterized in that: The following steps are included: S1. Determination of evaluation indicators: Based on the actual situation of the pumping station, determine the evaluation indicators from the categories of safety, economy, time, water conservancy, and sediment; S2. Quantification of evaluation indicators: Based on the basic information of the pump station and the water and working conditions data monitored during the dispatching operation, the scores of various evaluation indicators are quantified using quantitative methods; S3. Determination of index weights: The unit operation status evaluation system is constructed using the analytic hierarchy process and the entropy method, and the weights of the evaluation indexes are determined from the subjective and objective perspectives respectively; S4. Evaluation and ranking of unit operating status: The weights obtained by the analytic hierarchy process and the entropy method are combined to obtain the final weights of each evaluation index; the comprehensive score of the operating status is calculated based on the scores and final weights of the individual evaluation indicators of each unit, and the unit performance is ranked based on the comprehensive score; S5. Determine the combination to be put into operation: without changing the existing operation combination, choose to turn on or off the corresponding remaining units according to the sorting results to determine the combination to be put into operation.

2. The starting decision-making method based on the operation status evaluation of the water pump unit according to claim 1, characterized in that: In step S1, Safety evaluation indicators include temperature health value, vibration health value, and swing health value; Economic evaluation indicators include energy consumption per unit; Time scale evaluation indicators include continuous operation time and cumulative operation time; The hydraulic characteristics evaluation indicators include flow velocity distribution uniformity and velocity weighted average angle; Sediment-related evaluation indicators include the degree of equipment degradation and the degree of sediment accumulation.

3. The starting decision-making method based on the operation status evaluation of the water pump unit according to claim 2, wherein: Step S2 specifically includes the following contents: S21. Determine the evaluation indicators based on the actual situation of the pump station, collect the basic data of the pump station and the water and working conditions data monitored during the dispatching operation, and clean these data to remove abnormal values; S22. Use quantitative methods to process the evaluation indicators into dimensionless digital form, and obtain the scores of various evaluation indicators based on the above-mentioned cleaned data; for the problem of being unable to obtain the operating data of the units that are not started, select the data under similar historical operating conditions for calculation through comparison.

4. The starting decision-making method based on the operation status evaluation of the water pump unit according to claim 3, wherein: The quantitative method of each evaluation index is: (1) Temperature, vibration and swing health: Among them, S HE is the equipment health index score. The higher the score, the better the equipment health; S te is the temperature health; S v is the vibration health; S th is the swing health; (2)Energy consumption per unit: where S EN is the energy consumption index score, and the higher the score, the lower the energy consumption per unit of the unit; E is the energy consumption per unit of the unit; E min is the minimum energy consumption per unit among each unit of the pumping station at the evaluation moment; W0 is the power consumption value of the unit; ρ is the density of water; Q is the flow rate of the pump set; H0 is the head; t is the water lifting time; (3) Continuous operation time: where S CT is the score of the continuous operation duration index; T is the continuous operation duration of the unit at the evaluation moment. If the unit is not started, then T = 0; is the historical average continuous operation duration of the unit; (4) Cumulative running time: Where S AT is the cumulative operation duration index score; T a is the cumulative start-up hours of the unit; T max is the maximum cumulative start-up hours of each unit in the pumping station; (5) Flow velocity distribution uniformity: Where S Vu is the velocity distribution uniformity fraction; u a is the average axial velocity of the cross-section; u ai is the axial velocity of each unit of the cross-section; m0 is the number of units of the cross-section; (6) Velocity weighted average angle: In the formula, is the velocity-weighted average angular fraction; u ai is the axial velocity of each unit in the cross-section; u ti is the transverse velocity of each unit in the cross-section; (7) Equipment degradation degree: S DE = 0.5 * S IM + 0.5 * S BE Where, S DE is the equipment deterioration degree index score, and the higher the score, the smaller the equipment deterioration degree; S IM is the blade health; S BE is the bearing health; (8) Degree of siltation: Among them, S SA is the sediment deposition degree index score. The higher the score, the less sediment deposition and the better the water conveyance capacity; i0 is the sediment deposition level in the forebay; H is the sediment deposition height.

5. The starting decision-making method based on the operation status evaluation of the water pump unit according to claim 1, characterized in that: Step S3 specifically includes the following contents: S31. Use the analytic hierarchy process to construct the unit operation status evaluation system. According to the focus of the dispatching personnel and the subjective evaluation factors evaluated by experts, determine the first weight judgment matrix of the evaluation index. Through the single sorting of the hierarchy, calculate the weight of the evaluation index subjectively. Finally, perform a consistency test on the first weight judgment matrix and dynamically adjust the weight of the evaluation index according to the actual situation. S32. Use the entropy method to construct the unit operation status evaluation system, build the second weight judgment matrix of the evaluation index according to the historical measured operation data of each pump unit, and calculate the weight of the evaluation index objectively.

6. The starting decision-making method based on the operation state evaluation of the water pump unit according to claim 5, characterized in that: S31 specifically includes the following contents: S311. Establish a hierarchical structure, dividing it into an objective layer, a criterion layer, and a scheme layer; the objective layer is the purpose of the decision-making, that is, to select the best combination for operation; the criterion layer is the factors considered in the decision-making process, that is, evaluation indicators; the scheme layer is the alternatives available for selection during decision-making, that is, different unit combination schemes. S312. Compare each pair of evaluation indicators to determine their relative importance, introduce a scale representing the degree of importance, and construct the first weight judgment matrix of the evaluation indicators. S313. Calculate the weight vector of each evaluation indicator through the first weight judgment matrix; the calculation formula is W = (w1, w2,..., w N ) where P ij is the valuation of the relative importance of comparing the i-th evaluation index with the j-th evaluation index; W is the weight vector of each evaluation index; S314. Conduct a consistency test on the first weight judgment matrix to determine whether the weight setting is reasonable; the calculation formula is Among them, C.I. is the consistency index. The larger the C.I., the more serious the inconsistency of the first weight judgment matrix; λ max is the maximum eigenvalue of the first weight judgment matrix; n0 is the order of the first weight judgment matrix; C.R. is the consistency ratio. When C.R. < 0.1, it is considered that the first weight judgment matrix is basically consistent, otherwise the first weight judgment matrix needs to be corrected; R.I. is the random consistency index, and its value is related to the order of the first weight judgment matrix; S415. Dynamically adjust the weights of evaluation indicators under different circumstances.

7. The starting decision-making method based on the operation status evaluation of the water pump unit according to claim 6, characterized in that: Step S315 is specifically as follows Considering different water transfer natures: During regular water transfer, the most important thing is to ensure the safe and stable operation of water transfer, and at this time, the weight of the safety evaluation indicator is the largest; when performing an emergency water transfer task, while ensuring safety, increase the weight of the flow-related evaluation indicators. Considering seasonal factors: During water transfer in the ice period, it is necessary to ensure a high operating water level, and at this time, increase the weight of the water level-related evaluation indicators.

8. The starting decision-making method based on the operation status evaluation of the water pump unit according to claim 5, characterized in that: S32 specifically includes the following S321. Based on the measured data of each evaluation indicator of multiple units at a certain moment, construct the second weight judgment matrix of the evaluation indicators. where m is the number of evaluation indicators; n is the number of samples, i.e., the number of units; x nm is the value of the m-th indicator of the n-th unit; S322. Standardize the data in the second judgment matrix and uniformly perform a translation process on the standardized data. Positive index processing Negative index processing Translation processing y i'j ′ = y i'j + 0.01 Among them, x i'j , min(x i'j ), max(x i'j ) are the value, minimum value, and maximum value of the jth evaluation index of the i'th unit respectively; y i'j ′ is the index data after translation processing; S323. Calculate the weights of the evaluation indicators. d j = 1 - e j Among them, p i'j is the value after the evaluation index value is normalized; e j is the information entropy of the evaluation index; d j is the coefficient of variation of the evaluation index; v j is the weight of the evaluation index.

9. The starting decision-making method based on the operation status evaluation of the water pump unit according to claim 8, characterized in that: Step S4 is specifically as follows S41. Combine the weights obtained by the analytic hierarchy process and the entropy method to obtain the final weights of each evaluation indicator. The calculation formula is Among them, w j is the weight of the j-th evaluation index calculated by the analytic hierarchy process; v j is the weight of the j-th evaluation index calculated by the entropy method; k j is the final weight of the j-th evaluation index. S42. Select a certain moment for evaluation, and calculate the comprehensive operation state score according to the single evaluation indicator scores and the final weights of each unit. The calculation formula is S = S1×k1 + S2×k2 + … + S N ×k N Among them, S is the comprehensive score of the unit operation status; k1, k2, …, k N are the final weights of each evaluation index; S1, S2, …, S N are the scores of each single evaluation index; S43. Sort the comprehensive scores from large to small to determine the ranking of the unit operation states.

10. The starting decision-making method based on the operation status evaluation of the water pump unit according to claim 1, characterized in that: Step S5 is specifically as follows: Combining the number of operating units required by the pumping station, the ranking of the operation state scores, and the current startup combination, following the principles of starting and stopping units, on the basis of not changing the existing operation combination, start the units with higher rankings or stop the units with lower rankings from the remaining units to determine the unit operation combination for putting into operation.

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