Search

CN-121980792-A - Pump unit model selection method based on actual working condition delay simulation and storage medium

CN121980792ACN 121980792 ACN121980792 ACN 121980792ACN-121980792-A

Abstract

The invention discloses a pump set model selection method based on actual condition delay simulation and a storage medium, wherein the model selection method takes actual operation history boundary data of a pump room to be modified as a basis of pump set design, and is separated from the traditional single-condition design situation, so that the selected pump set is closer to the actual operation condition. And taking the optimal frequency combination and the corresponding operation power under the working condition as the calculation basis of future operation of the pump set, calculating the expected saving cost through long-period simulation, and selecting the proper number combination of the water pump models. Compared with the prior art, the model selection method provided by the scheme can meet the standard design requirements, and meanwhile, the pump set is ensured to run as efficiently as possible under the daily condition.

Inventors

  • LI JUNDE
  • XU JUNGE

Assignees

  • 泉州隆鑫智谷新能源有限公司

Dates

Publication Date
20260505
Application Date
20260123

Claims (10)

  1. 1. The pump group model selection method based on actual condition delay simulation is characterized by comprising the following steps of: s1, acquiring a sample set of pump room historical data : In the formula, Representing the head of the pump group at time t, Representing the flow rate of the pump group at the t moment; S2, according to the sample set Obtaining a distribution model of the lift X and the flow Y, and determining the value range of the lift X and the flow Y; s3, establishing a database of pump sets to be selected, wherein the database comprises the alternative water pumps and the mapping relation between the flow and the lift and the rotating speed of the alternative water pumps: In the formula, Representing the running flow of the water pump with the model i; Representing the operating head of a water pump of model i, Representing the rotational speed of a water pump with the model i; S4, determining the value range of the lift X according to the distribution model of the lift X and the flow Y constructed in the step S2 Screening out the mapping relation of the lift and the rotating speed of each candidate water pump from the database of the pump group to be selected Middle lift The definition domain of (1) includes Further constructing an alternative water pump set M; s5, constructing an alternative water pump model combination set C based on the alternative water pump set M, wherein the alternative water pump model combination set C comprises water pump combinations of different models required by a user; S6, according to the sample set Flow rate in (a) Obtaining the number required by each type of water pump in the alternative water pump type combination set C by the value range to obtain feasible water pump type number combination; S7, calculating expected saving cost of each feasible water pump model number combination; And S8, outputting feasible water pump model number combinations meeting the requirements according to the expected cost saving.
  2. 2. The method of claim 1, wherein in step S7, the expected cost savings are obtained by subtracting the expected cost of the pump house from the historical actual cost of operating the pump house.
  3. 3. The method of claim 2, wherein in step S2, the distribution model comprises a joint probability density function Wherein 、 The range of the values is as follows ; In step S3, the database of the pump group to be selected comprises the mapping relation between the running power, the rotating speed and the flow of each candidate water pump ; Step S7 includes the steps of: Aiming at meeting the requirements Any operating point of (3) Judging whether the viable rotation speed value of each pump exists So that the total flow provided by the number combination of the water pump models meets the constraint requirement of a conservation of substance equation: In the formula, Representing the pump lift of the ith water pump in the treated pump group And rotation speed The flow output of the lower part is carried out, Representing the total number of water pumps; If yes, the minimized cost function is obtained according to the following formula: In the formula, Represents the unit price of electricity, Representing sampling frequency, and in the process of solving the minimized cost function, the practical rotating speed value of each pump should meet the requirement of a conservation equation of substances; obtaining any water pump after replacement according to the joint probability density function and the minimized cost function Expected energy costs for the time period: the expected energy consumption in the design period is obtained according to the expected energy consumption after the water pump is replaced: 。
  4. 4. The method of claim 2, wherein in step S2, the two-dimensional probability distribution model includes a discrete type distribution law ; Wherein, the value range of x and y is , A domain of two-dimensional discrete variable distribution; In step S3, the database of the pump group to be selected comprises the mapping relation between the running power, the rotating speed and the flow of each candidate water pump ; Step S7 includes the steps of: any working point in the definition domain of two-dimensional discrete variable distribution aiming at discrete type distribution law Judging whether the viable rotation speed value of each pump exists So that the total flow provided by the number combination of the water pump models meets the constraint requirement of a conservation of substance equation: In the formula, Representing the pump lift of the ith water pump in the treated pump group And rotation speed The flow output of the lower part is carried out, Representing the total number of water pumps; If yes, the minimized cost function is obtained according to the following formula: In the formula, Represents the unit price of electricity, Representing sampling frequency, and in the process of solving the minimized cost function, the practical rotating speed value of each pump should meet the requirement of a conservation equation of substances; obtaining any water pump after replacement according to discrete distribution law and minimized cost function Expected energy costs for the time period: The expected energy consumption in the design period t is obtained according to the expected energy consumption after the water pump is replaced: 。
  5. 5. The method according to claim 2, wherein in step S3, the database of pump sets to be selected includes a mapping relationship between the running power, the rotation speed and the flow rate of each candidate water pump ; Step S7 includes the steps of: Based on sample sets Processing into equal weight discrete model, for sample set Any operating point of (3) Judging whether the viable rotation speed value of each pump exists So that the total flow provided by the number combination of the water pump models meets the constraint requirement of a conservation of substance equation: In the formula, Representing the pump lift of the ith water pump in the treated pump group And rotation speed The flow output of the lower part is carried out, Representing the total number of water pumps; If yes, the minimized cost function is obtained according to the following formula: In the formula, Represents the unit price of electricity, Representing sampling frequency, and in the process of solving the minimized cost function, the practical rotating speed value of each pump should meet the requirement of a conservation equation of substances; from a sample set And minimizing cost function acquisition design time The expected energy costs in: ; In the formula, For a sample set Is a length of (c).
  6. 6. The method of selecting a form as claimed in any of claims 2 to 5, further comprising the steps of: judging unit price of electricity Whether the price is calculated in a time-sharing way, if so, introducing a time dimension when constructing a distribution model And will be electrically monovalent Replaced by time-sharing electric unit price For minimizing cost functions and calculation of expected energy consumption charges.
  7. 7. The method of claim 1, wherein step S6 comprises the steps of: for each water pump model combination in the alternative water pump combination set C, determining all feasible water pump number combinations, wherein the feasible water pump number combinations are generated by the following modes: In the combination set C of the alternative water pump model, the water pump with the preset initial model is gradually increased from a single unit, and after each increase, the water pump is subjected to sample set Flow rate in (a) Determining the minimum configuration number required by the other models by the value range, and repeating the process until a plurality of water pumps with preset initial models can meet the sample set Flow rate in (a) And the water pump with other models is not required to be configured.
  8. 8. The method according to claim 1, wherein in step S1, a sample set of pump house history data is obtained The method comprises the following steps of: acquiring historical output flow, outlet pressure and inlet pressure of a pump room for metering; Data processing is carried out according to the output flow, the outlet pressure and the inlet pressure to obtain a sample set 。
  9. 9. The method according to claim 1, wherein step S8 includes the steps of: sequencing and outputting all feasible water pump model number combinations according to the expected cost saving, or: Acquiring purchase prices of all water pumps in all feasible water pump model number combinations, acquiring investment return period according to the purchase prices of the water pumps and the expected saving cost, and sequencing and outputting all the feasible water pump model number combinations according to the investment return period.
  10. 10. A storage medium storing a computer program, characterized in that the computer program, when executed by a processor, performs the pump set selection method of any one of claims 1 to 9.

Description

Pump unit model selection method based on actual working condition delay simulation and storage medium Technical Field The invention relates to the field of water supply and drainage equipment, in particular to a pump set model selection method based on actual working condition delay simulation and a storage medium. Background In the conventional pump set model selection design, pumps are generally selected according to design specifications according to the maximum design flow rate which can be encountered during operation according to a water usage quota and probability formula, but the water usage quota and the water usage probability do not necessarily accord with actual operation conditions. According to the previous research and actual working conditions, the probability of occurrence of the design working conditions is often only one ten thousandth, even one ten thousandth is insufficient, so that the selected water pump is generally larger, and a great amount of time is spent in the low-efficiency region for running under the daily working conditions. Disclosure of Invention Therefore, a pump set model selection method and a storage medium based on actual condition delay simulation are needed to be provided, and the problem that the conventional pump set model selection is designed according to the maximum condition, has large deviation from the daily actual operation condition, and causes low daily operation efficiency is solved. In order to achieve the above purpose, the inventor provides a pump group model selection method based on actual working condition time delay simulation, which comprises the following steps: s1, acquiring a sample set of pump room historical data : In the formula,Representing the head of the pump group at time t,Representing the flow rate of the pump group at the t moment; S2, according to the sample set Obtaining a distribution model of the lift X and the flow Y, and determining the value range of the lift X and the flow Y; s3, establishing a database of pump sets to be selected, wherein the database comprises the alternative water pumps and the mapping relation between the flow and the lift and the rotating speed of the alternative water pumps: In the formula, Representing the running flow of the water pump with the model i; Representing the operating head of a water pump of model i, Representing the rotational speed of a water pump with the model i; S4, determining the value range of the lift X according to the distribution model of the lift X and the flow Y constructed in the step S2 Screening out the mapping relation of the lift and the rotating speed of each candidate water pump from the database of the pump group to be selectedMiddle liftThe definition domain of (1) includesFurther constructing an alternative water pump set M; s5, constructing an alternative water pump model combination set C based on the alternative water pump set M, wherein the alternative water pump model combination set C comprises water pump combinations of different models required by a user; S6, according to the sample set Flow rate in (a)Obtaining the number required by each type of water pump in the alternative water pump type combination set C by the value range to obtain feasible water pump type number combination; S7, calculating expected saving cost of each feasible water pump model number combination; And S8, outputting feasible water pump model number combinations meeting the requirements according to the expected cost saving. Further, in step S7, the expected savings are obtained by subtracting the expected energy costs during the design period from the historical actual operating energy costs of the pump house. Further, in step S2, the distribution model includes a joint probability density functionWherein X, Y has a value in the range of; In step S3, the database of the pump group to be selected comprises the mapping relation between the running power, the rotating speed and the flow of each candidate water pump; Step S7 includes the steps of: Aiming at meeting the requirements Any operating point of (3)Judging whether the viable rotation speed value of each pump existsSo that the total flow provided by the number combination of the water pump models meets the constraint requirement of a conservation of substance equation: In the formula, Representing the pump lift of the ith water pump in the treated pump groupAnd rotation speedThe flow output of the lower part is carried out,Representing the total number of water pumps; If yes, the minimized cost function is obtained according to the following formula: In the formula, Represents the unit price of electricity,Representing sampling frequency, and in the process of solving the minimized cost function, the practical rotating speed value of each pump should meet the requirement of a conservation equation of substances; obtaining any water pump after replacement according to the joint probability density function and the minimized cost