Water pump energy efficiency analysis and optimal control method and system

Abstract

The invention relates to the technical field of data processing, in particular to a water pump energy efficiency analysis and optimization control method and system. According to the method, firstly, a sensor is installed in a water supply system, water flow speed, temperature, water pressure and energy consumption data of each water pump are collected, according to water consumption at a time point in a subsequent first time period of all historical similar moments at the current moment, the predicted water demand at the time point in the subsequent first time period at the current moment is obtained, and then the water demand at the time point in the subsequent first time period at the current moment is calculated. According to the predicted water demand of each time point in the subsequent first time period at the current moment, the predicted water demand of the future first time period at the current moment is obtained, and the total available water supply of the future first time period at the current moment is obtained through the water flow speed of each water pump at the current moment; and finally, the predicted water demand and the total available water supply are compared, and the running state of the water pump is adjusted in real time. Efficient operation of the water pump can be achieved, and the overall efficiency of the water supply system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for analyzing and optimizing energy efficiency of a water pump. Background Art

[0002] Water pumps are widely used in urban water supply, agricultural irrigation and industrial production. Their energy efficiency and operating efficiency directly affect the operating costs and environmental impact. With the emphasis on energy conservation and environmental protection, improving the energy efficiency of water pumps has become an urgent need. At present, traditional water pump energy efficiency analysis methods are mostly static evaluations, lacking real-time monitoring of the dynamic state of water pumps. This leads to the failure to optimize the operation of water pumps in a timely manner when water supply demand fluctuates, resulting in energy waste. In addition, the existing water pump energy efficiency optimization control system lacks a comprehensive evaluation of the operating status of the water pump, making it difficult to accurately predict future water supply demand, and thus unable to effectively adjust the operation of the water pump. Summary of the invention

[0003] In order to solve the technical problem that the prior art lacks comprehensive evaluation of the operating status of water pumps, it is difficult to accurately predict future water supply demand, and thus it is impossible to effectively adjust the operating strategy of water pumps to improve the overall energy efficiency of the water supply system, the purpose of the present invention is to provide a method and system for water pump energy efficiency analysis and optimization control. The technical solutions adopted are as follows: In a first aspect, a method for analyzing and optimizing energy efficiency of a water pump is provided, the method comprising: Step S1: Install sensors in the water supply system to collect water flow rate, temperature, water pressure, and energy consumption data of each water pump; Step S2: obtaining the water demand at a time point in the subsequent first period predicted at the current moment according to the water demand at a time point in the subsequent first period of all historical similar moments at the current moment; Step S3: obtaining the predicted water demand for the first time period in the future at the current moment according to the water demand at each time point in the subsequent first time period predicted at the current moment; Step S4: Obtain the total water supply for the first period in the future at the current moment through the water flow rate of each water pump at the current moment; Step S5: Compare the predicted water demand and the total available water supply. If the predicted water demand is greater than or equal to the total available water supply, increase the number of water pumps turned on or adjust the water pump speed. Otherwise, turn off the low-efficiency water pump.

[0004] Furthermore, the step S1 specifically includes: Install flow, temperature, pressure, and energy consumption sensors in the water supply system to collect water flow rate, temperature, water pressure, and energy consumption data of each water pump; The water flow rate and water pressure of each water pump are collected once at a preset first time threshold, and the temperature and energy consumption data of each water pump are collected once at a preset second time threshold; Get historical collection data and current collection data.

[0005] Furthermore, the step S2 specifically includes: According to the cosine similarity between the water consumption vector and the pressure vector at the current moment and a moment in the historical data, the comprehensive similarity between the water consumption vector and the pressure vector at the current moment and the moment in the historical data is obtained; The points whose comprehensive similarity is greater than the preset first similarity threshold are recorded as historical similar moments of the current moment; According to the water consumption at a time point in the subsequent first period of all historical similar moments at the current moment, the water demand at the time point in the subsequent first period predicted at the current moment is obtained.

[0006] Furthermore, the method of obtaining the water demand at the time point in the subsequent first time period predicted at the current moment based on the water demand at a time point in the subsequent first time period of all historical similar moments of the current moment is specifically as follows: according to the water demand at the time point in the subsequent first time period of a historically similar moment of the current moment, the comprehensive similarity of the water demand vector and the pressure vector between the current moment and the moment in the historical data, and the number of historically similar moments of the current moment, the water demand at the time point in the subsequent first time period predicted at the current moment is obtained.

[0007] Furthermore, before obtaining the comprehensive similarity between the water consumption vector and the pressure vector at the current moment and the water consumption vector and the pressure vector at a moment in the historical data according to the cosine similarity between the water consumption vector and the pressure vector at the current moment and the historical data, the method further includes: The water consumption and pressure in the historical collected data are used to construct a time-series water consumption sequence and pressure sequence respectively; All time points in the second period before each time point are recorded as reference time points of that time point; The water consumption vector and pressure vector of each time point are constructed according to the water consumption and pressure of all reference time points.

[0008] Furthermore, the water consumption vector and pressure vector are composed of the mean, slope, and standard deviation of the water consumption and pressure at a reference time point at each time point.

[0009] Furthermore, before step S5, the method further includes: obtaining the operating energy efficiency of each water pump according to the total water delivery volume, energy consumption, rated energy efficiency of each water pump, and temperature of the water pump of each water pump in the second time period before the current moment.

[0010] Furthermore, the total water delivery of each water pump in the second time period before the current moment and the rated energy efficiency of each water pump are positively correlated with the operating energy efficiency of each water pump, and the energy consumption of each water pump in the second time period before the current moment is negatively correlated with the operating energy efficiency of each water pump.

[0011] Furthermore, step S5 specifically includes: Comparing the predicted water demand and the total water supply; If the predicted water demand is greater than or equal to the total water supply, turn off the low-efficiency water pump, increase the speed of the medium-efficiency and high-efficiency water pumps, and start additional high-efficiency water pumps as needed, so that the adjusted estimated total water supply is greater than the predicted water demand; If the predicted water demand is less than the total water supply, no adjustment will be made or the low-efficiency pumps will be shut down or some medium-efficiency pumps will be shut down and the speed of the remaining pumps will be increased.

[0012] In another aspect, the present invention provides a system for analyzing and optimizing the energy efficiency of a water pump, the system comprising: The sensor detection module is used to collect the water flow rate, temperature, water pressure and energy consumption data of each water pump based on the sensors installed in the water supply system; A comprehensive similarity acquisition module is used to obtain the comprehensive similarity of the water consumption vector and pressure vector at the current moment and that at the moment in the historical data according to the cosine similarity of the water consumption vector and pressure vector at the current moment and that at the moment in the historical data; A water demand acquisition module is used to acquire the predicted water demand for the first time period in the future at the current moment based on the water consumption at each time point in the subsequent first time period of all historical similar moments at the current moment; A water supply acquisition module is used to obtain the total water supply in the first period of the future at the current moment through the water flow rate of each water pump at the current moment; The water pump energy efficiency acquisition module is used to obtain the operating energy efficiency of each water pump according to the total water delivery volume, energy consumption, rated energy efficiency and temperature of each water pump in the second period before the current moment; The water pump optimization control module is used to compare the predicted water demand and the total water supply. If the predicted water demand is greater than or equal to the total water supply, the number of water pumps turned on is increased or the water pump speed is adjusted; otherwise, the low-efficiency water pump is turned off.

[0013] The present invention has the following beneficial effects: it can realize the efficient operation of the water pump, thereby reducing energy consumption, improving the overall efficiency of the water supply system, and extending the service life of the equipment. By installing a variety of sensors in the water pump system, data such as flow, temperature, pressure and energy consumption are collected in real time to provide basic data for energy efficiency analysis, and a dynamic prediction model based on historical data is constructed. By analyzing historical water consumption and pressure changes, future water supply demand can be accurately predicted, and the operation status of the water pump can be adjusted in real time according to the prediction results. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 A flow chart of a method for analyzing and optimizing the energy efficiency of a water pump provided by an embodiment of the present invention.

[0016] Figure 2 A system block diagram of a water pump energy efficiency analysis and optimization control provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the method and system for analyzing and optimizing the energy efficiency of a water pump and its specific implementation, structure, characteristics and effects proposed by the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. Unless otherwise defined, all technical and scientific terms used in this article have the same meaning as those generally understood by technicians in the technical field of the present invention.

[0018] The scenario targeted by the present invention is: in the urban water supply network, in the face of unstable water demand, effective resource management is achieved by dynamically adjusting the working state of the water pump. In the industrial process, according to the water consumption changes of the production line, the operation of the water pump is dynamically adjusted to ensure stable production and reduce energy consumption.

[0019] The specific scheme of a method and system for analyzing and optimizing the energy efficiency of a water pump provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0020] First, see Figure 1 , which shows a flow chart of a method for analyzing and optimizing the energy efficiency of a water pump provided by an embodiment of the present invention, the method comprising the following steps: Step S1: Install sensors in the water supply system to collect water flow rate, temperature, water pressure, and energy consumption data of each water pump.

[0021] Among them, step S1 specifically includes: installing flow, temperature, pressure, energy consumption and other sensors in the water supply system to collect data such as water flow rate, temperature, water pressure, energy consumption and so on of each water pump; collecting the water flow rate and water pressure of each water pump once at a preset first time threshold, and collecting the temperature and energy consumption data of each water pump once at a preset second time threshold; obtaining historical collected data and current collected data.

[0022] More specifically, for parameters that change quickly, such as water flow rate and pressure, the preset first time threshold is defined as 5s, that is, these data are collected every 5s. For relatively stable parameters such as temperature, energy consumption data, speed and operating status of each water pump, the preset second time threshold is defined as 1min, that is, these data are collected every 1min. The collection period of historical data is defined as 1 week to identify daily or periodic water supply needs; when analyzing historical data, the historical data within the last week is analyzed, and when determining the status of the water pump at the current moment, the data of the last hour is analyzed and determined.

[0023] Step S2: according to the water consumption at a time point in the subsequent first time period of all historical similar moments at the current moment, obtain the water demand at the time point in the subsequent first time period predicted at the current moment.

[0024] Among them, step S2 specifically includes: according to the cosine similarity of the water consumption vector and the pressure vector at the current moment and a moment in the historical data, obtaining the comprehensive similarity of the water consumption vector and the pressure vector at the current moment and the moment in the historical data; recording the point whose comprehensive similarity is greater than the preset first similarity threshold as the historical similar moment of the current moment; according to the water consumption at a time point in the subsequent first time period of all historical similar moments of the current moment, obtaining the water demand at the time point in the subsequent first time period predicted at the current moment.

[0025] It should be noted that the water demand at that time point in the subsequent first time period predicted at the current moment is obtained based on the water demand at a time point in the subsequent first time period of all historical similar moments of the current moment. Specifically, the water demand at that time point in the subsequent first time period predicted at the current moment is obtained based on the water demand at that time point in the subsequent first time period of a historically similar moment of the current moment, the comprehensive similarity of the water demand vector and the pressure vector at the current moment and that moment in the historical data, and the number of historically similar moments of the current moment.

[0026] More specifically, first, the water consumption and pressure in the historical collected data are used to construct a time-series water consumption sequence and pressure sequence respectively; all time points in the second period before each time point are recorded as reference time points of the time point, where the second period can be defined as one hour; then, the water consumption vector and pressure vector of each time point are constructed based on the water consumption and pressure of all reference time points. The water consumption vector and pressure vector are composed of the mean, slope, and standard deviation of the water consumption and pressure at the reference time points of each time point. Taking the water consumption vector as an example, the mean is used to preliminarily determine the overall level of water consumption in the time period; the slope is used to reflect the trend of water consumption over time, whether it is increasing or decreasing; the standard deviation is used to represent the amplitude of the change, that is, the fluctuation. In this way, the water consumption vector at each moment is obtained. and pressure vector .

[0027] Furthermore, the comprehensive similarity calculation formula between the water consumption vector and the pressure vector at the current moment and at the moment t in the historical data constructed in this embodiment is as follows: In the formula, For the historical data Water consumption vector at the moment; is the water consumption vector at the current moment; For the historical data The pressure vector at the moment; is the pressure vector at the current moment; Indicates the historical data The modulus of the water consumption vector at the moment; Indicates the modulus of the water consumption vector at the current moment; Indicates the historical data The modulus of the pressure vector at time ; Indicates the modulus of the pressure vector at the current moment; It represents the comprehensive similarity between the water consumption vector and pressure vector at the current moment and at time t in the historical data.

[0028] In the above formula for calculating the comprehensive similarity between the water consumption vector and the pressure vector at the current time and at time t in the historical data, The current moment and the historical data The cosine similarity of the water consumption vector at the moment, The current moment and the historical data The cosine similarity of the pressure vector at the current moment and the ...

[0029] Furthermore, the first threshold of the comprehensive similarity is set to 0.95, and the time point with a comprehensive similarity greater than 0.95 is recorded as the historical similar time of the current moment. Then, based on the water consumption at a time point in the subsequent first period of all historical similar moments of the current moment, the water demand at the time point in the subsequent first period predicted at the current moment is obtained.

[0030] In this embodiment, the water demand calculation formula for the mth time point in the subsequent first period predicted at the current moment is as follows: In the formula, It represents the water demand at the mth time point in the first subsequent period predicted at the current moment; is the number of historical similar moments to the current moment; Indicates A similar moment in history; Indicates the current time The first period of the subsequent period of a similar historical moment Water consumption at a point in time; For the current moment and its The comprehensive similarity of similar historical moments.

[0031] In the above-constructed water demand calculation formula for the current moment predicted at the time point in the first subsequent period, the current moment The first period of the subsequent period of a similar historical moment Water consumption at a time point As Since the comprehensive similarity of all historical similar moments is greater than 0.95, the change is not obvious, so we set In order to increase the influence of the comprehensive similarity, the comprehensive similarity between each historical similar moment and the current moment is weighted, and the weight of the water consumption of the historical reference point with high similarity is increased, and finally the water demand at the mth time point in the first subsequent period predicted at the current moment is obtained.

[0032] So far, the predicted water consumption at each moment in the first time period following the current moment is obtained. In this embodiment, the first time period may be 10 minutes, that is, through the above process, the predicted water consumption at each moment in the following 10 minutes following the current moment is obtained. In order to obtain the total water consumption in the following 10 minutes following the current moment, it is obvious that the following steps are further set.

[0033] Step S3: Obtain the predicted water demand for the first time period in the future at the current moment according to the water demand at each time point in the subsequent first time period predicted at the current moment.

[0034] Specifically, according to the predicted water consumption change sequence in the subsequent first time period at the current moment, the predicted water demand in the future first time period at the current moment is obtained. In this embodiment, the calculation formula for the predicted water demand in the future first time period at the current moment is constructed as follows: In the formula, The predicted water demand for the first period in the future at the current moment; The number of time points in the first period of the future from the current moment; The first period of the next period predicted at the current moment Water demand at a point in time.

[0035] In the formula, the water demand at each time point in the first subsequent period predicted at the current moment is summed up to obtain the predicted water demand for the first future period at the current moment.

[0036] After calculating the predicted water demand for the first time period in the future at the current moment, it is necessary to evaluate the total water supply calculation for the first time period in the future at the current moment, so the present embodiment sets the following steps.

[0037] Step S4: Obtain the total water supply in the first future period at the current moment through the water flow rate of each water pump at the current moment.

[0038] By counting the water flow rates of all water pumps in the water pump unit, the total water supply of the current unit in the first period of the current state is obtained. In this embodiment, the calculation formula for the total water supply in the first period of the future at the current moment is constructed as follows: In the formula, The total water supply of the current unit within 10 minutes according to the current status; The current unit Water flow rate of each pump (per second); is the number of water pumps in the current unit; is the duration of the first period (in seconds).

[0039] In the above-mentioned calculation formula for the total water supply in the first period in the future from the current moment, the product of the water flow rate of a water pump and the water supply period is the water supply of the water pump. Considering all the working water pumps in the current state of the current unit of the water supply system, the total water supply in the first period in the future from the current moment can be obtained.

[0040] Furthermore, it is necessary to compare and analyze the predicted water demand in the first period of the future at the current moment with the total water supply in the first period of the future at the current moment, so as to optimize the energy efficiency of the water pump. However, when optimizing the energy efficiency of the water pump, it is necessary to know the operating energy efficiency of each water pump so as to make targeted adjustments to each water pump. Therefore, it is necessary to obtain the operating energy efficiency of each water pump based on the total water delivery, energy consumption, rated energy efficiency of each water pump, and temperature of the water pump in the second period before the current moment.

[0041] Among them, the total water delivery of each water pump in the second period before the current moment and the rated energy efficiency of each water pump are positively correlated with the operating energy efficiency of each water pump, and the energy consumption of each water pump in the second period before the current moment is negatively correlated with the operating energy efficiency of each water pump.

[0042] Specifically, the second period is defined as one hour. The status of the water pumps in the past hour is evaluated, the status of each water pump in the current water pump unit is determined, the energy efficiency and work efficiency of the water pumps are analyzed, and the status of each water pump in each water pump unit is determined. For water pumps that have been running for a long time, the time required for the energy efficiency to decay (that is, the time to continue normal operation) and the time required for the water pumps that have stopped working to be able to work normally (buffer time after long-term operation) and the number of water pumps that have stopped working and can operate normally (buffer time has passed, but not running).

[0043] More specifically, first, the operation data of each water pump of the water pump unit in the hour before the current moment is obtained, and then, according to the water delivery and energy consumption of each water pump in the hour before the current moment, the rated energy efficiency of the water pump and the temperature of the water pump, the operation energy efficiency of the water pump is obtained. In this embodiment, the operation energy efficiency calculation formula of the water pump is constructed as follows: In the formula, is the operating energy efficiency of the current water pump; The total water delivery of the current water pump in the previous hour; is the energy consumption of the current water pump in the previous hour; Indicates the rated energy efficiency of the current water pump; is the current temperature of the water pump; is the rated maximum operating temperature of the current water pump; It is the rated minimum operating temperature of the current water pump.

[0044] In the formula, the total water delivery of the current pump in the hour before the current time is 、Current pump rated energy efficiency The energy efficiency of each pump Positive correlation, the energy consumption of the current pump in the hour before the current moment The energy efficiency of each pump Negative correlation; Correct the current water pump operating energy efficiency. The closer the current water pump temperature is to the rated maximum operating temperature, the higher the temperature of the machine, the more likely problems will occur, and the lower its operating energy efficiency; the further the current temperature is from the rated maximum operating temperature, the lower the temperature of the machine, and the higher its operating energy efficiency.

[0045] Through steps S3 and S4, the predicted water demand for the first time period in the future at the current moment and the calculation of the total water supply for the first time period in the future at the current moment are completed, and the operating energy efficiency of the water pump is deeply analyzed. Finally, by comparing the supply and demand relationship and combining the operating energy efficiency of the water pump, the water pump components of the water supply system can be optimized and controlled in a targeted manner to reduce the system energy consumption as much as possible while meeting the usage requirements. Therefore, this embodiment further arranges the following steps.

[0046] Step S5: Compare the predicted water demand for the first time period in the future at the current moment and the total water supply for the first time period in the future at the current moment. If the predicted water demand is greater than or equal to the total water supply, increase the number of water pumps turned on or adjust the water pump speed; otherwise, turn off the inefficient water pump.

[0047] Among them, step S5 specifically includes: comparing the predicted water demand and the total water supply; if the predicted water demand is greater than or equal to the total water supply, shutting down the low-efficiency water pump, increasing the speed of the medium-efficiency and high-efficiency water pumps, and starting the high-efficiency water pump additionally as needed, so that the adjusted estimated total water supply is greater than the predicted water demand; if the predicted water demand is less than the total water supply, no adjustment is made or the low-efficiency water pump is shut down or some of the medium-efficiency water pumps are shut down and the speed of the remaining water pumps is increased.

[0048] More specifically, if the predicted water demand is greater than or equal to the total water supply, that is, , analyze the energy efficiency of each water pump, determine whether there is any running water pump whose energy efficiency is lower than the preset first energy efficiency threshold and higher than the second energy efficiency threshold, if so, determine the speed of the water pump, if its speed is lower than the preset first speed threshold, increase the speed of the water pump, if the energy efficiency of the running water pump is higher than the preset first energy efficiency threshold, but the speed is lower than the preset second speed threshold, increase the speed of the water pump, if the energy efficiency of the water pump is lower than the preset second energy efficiency threshold, shut it down, and start the unstarted water pump whose energy efficiency is higher than the preset first energy efficiency threshold; in addition, open some closed high-efficiency water pumps as needed, so that Can satisfy .

[0049] In this embodiment, the first energy efficiency threshold is 80%, the second energy efficiency threshold is 60%, the first speed threshold is 60% of the rated maximum speed, and the second speed threshold is 70% of the rated maximum speed. , determine whether there is any energy efficient pump in operation If the machine with a speed lower than 80% and higher than 60% exists, it is judged that its speed is lower than 60% of the rated maximum speed. If it is lower, its speed is increased first. If the operating energy efficiency of the water pump is If the pump speed is higher than 80% but lower than 70%, the pump speed should be increased first. If the water supply is lower than 60%, it will be shut down. Then, according to the need, the unstarted water pumps with energy efficiency higher than 80% will be started. Through a series of operations, the expected water supply .like , do not make adjustments, or turn off the operating energy efficiency Pumps below 60% or shutting down some of them for energy efficiency The speed of the remaining pumps is determined by the pumps with a speed lower than 80% and higher than 60%. If the speed of the remaining pumps is lower than 60% of the rated maximum speed, the speed of the remaining pumps is increased first. , then the unstarted water pumps with energy efficiency higher than 80% will be started. Through a series of operations, the estimated water supply At the same time, .

[0050] At this point, the energy efficiency analysis and optimization control of the water pump are completed. According to the above method, the relevant parameters are continued to be collected in real time for judgment. The water pump at each subsequent moment will continue to be analyzed and adjusted in real time to ensure that the water demand is met while ensuring the efficient operation of the water pump.

[0051] In the second aspect, this embodiment provides a system for analyzing and optimizing the energy efficiency of a water pump. Figure 2 , which shows a system block diagram of a water pump energy efficiency analysis and optimization control provided by an embodiment of the present invention, the system comprising: The sensor detection module 101 is used to collect water flow rate, temperature, water pressure and energy consumption data of each water pump according to the sensors installed in the water supply system; A comprehensive similarity acquisition module 102 is used to acquire the comprehensive similarity of the water consumption vector and pressure vector at the current moment and that at the moment in the historical data according to the cosine similarity of the water consumption vector and pressure vector at the current moment and that at the moment in the historical data; The water demand acquisition module 103 is used to acquire the predicted water demand for the first time period in the future at the current moment according to the water consumption at each time point in the subsequent first time period of all historical similar moments at the current moment; The water supply acquisition module 104 is used to acquire the total water supply of the first future period at the current moment according to the water flow rate of each water pump at the current moment; The water pump energy efficiency acquisition module 105 is used to obtain the operating energy efficiency of each water pump according to the total water delivery volume, energy consumption, rated energy efficiency of each water pump, and temperature of the water pump in the second time period before the current moment; The water pump optimization control module 106 is used to compare the predicted water demand for the first time period in the future at the current moment and the total water supply for the first time period in the future at the current moment. If the predicted water demand is greater than or equal to the total water supply, the number of water pumps turned on is increased or the water pump speed is adjusted; otherwise, the low-efficiency water pump is turned off.

[0052] The present embodiment provides a method and system for analyzing and optimizing the energy efficiency of water pumps. Sensors are installed in the water supply system to collect the water flow rate, temperature, water pressure, and energy consumption data of each water pump. The water demand at a time point in the subsequent first period predicted at the current moment is obtained according to the water consumption at a time point in the subsequent first period of all historical similar moments at the current moment. Then, the predicted water demand at the future first period of the current moment is obtained according to the water demand at each time point in the subsequent first period predicted at the current moment. The total water supply for the future first period of the current moment is obtained by the water flow rate of each water pump at the current moment. Finally, the predicted water demand and the total water supply are compared. If the predicted water demand is greater than or equal to the total water supply, the number of water pumps turned on is increased or the water pump speed is adjusted. Otherwise, the low-efficiency water pump is turned off. The efficient operation of the heavy water pumps in the water supply system is achieved, thereby reducing energy consumption, improving the overall efficiency of the water supply system, and extending the service life of the equipment.

[0053] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0054] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for analyzing and optimizing the energy efficiency of a water pump, characterized in that: The method comprises: Step S1: Install sensors in the water supply system to collect water flow rate, temperature, water pressure, and energy consumption data of each water pump; Step S2: obtaining the water demand at a time point in the subsequent first period predicted at the current moment according to the water demand at a time point in the subsequent first period of all historical similar moments at the current moment; Step S3: obtaining the predicted water demand for the first time period in the future at the current moment according to the water demand at each time point in the subsequent first time period predicted at the current moment; Step S4: Obtain the total water supply for the first period in the future at the current moment through the water flow rate of each water pump at the current moment; Step S5: comparing the predicted water demand and the total water supply, if the predicted water demand is greater than or equal to the total water supply, increasing the number of water pumps turned on or adjusting the water pump speed, otherwise, shutting down the low-efficiency water pump; The step S2 specifically includes: According to the cosine similarity between the water consumption vector and the pressure vector at the current moment and a moment in the historical data, the comprehensive similarity between the water consumption vector and the pressure vector at the current moment and the moment in the historical data is obtained; The points whose comprehensive similarity is greater than the preset first similarity threshold are recorded as historical similar moments of the current moment; According to the water consumption at a time point in the first subsequent period of all historical similar moments at the current moment, the water demand at the time point in the first subsequent period predicted at the current moment is obtained; The method of obtaining the water demand at a time point in the subsequent first period predicted at the current moment based on the water demand at a time point in the subsequent first period of all historical similar moments at the current moment is specifically: According to the water consumption at a time point in the first period subsequent to a historically similar moment at the current moment, the comprehensive similarity of the water consumption vector and the pressure vector at the current moment and that at the moment in the historical data, and the number of historically similar moments at the current moment, the water demand at the time point in the first period subsequent to the current moment is obtained.

2. A method for analyzing and optimizing water pump energy efficiency according to claim 1, characterized in that: The step S1 specifically includes: Install flow, temperature, pressure, and energy consumption sensors in the water supply system to collect water flow rate, temperature, water pressure, and energy consumption data of each water pump; The water flow rate and water pressure of each water pump are collected once at a preset first time threshold, and the temperature and energy consumption data of each water pump are collected once at a preset second time threshold; Get historical collection data and current collection data.

3. The method for analyzing and optimizing the energy efficiency of a water pump according to claim 1, characterized in that: Before obtaining the comprehensive similarity between the water consumption vector and the pressure vector at the current moment and the water consumption vector and the pressure vector at the moment in the historical data according to the cosine similarity between the water consumption vector and the pressure vector at the current moment and the moment in the historical data, the method further includes: The water consumption and pressure in the historical collected data are used to construct a time-series water consumption sequence and pressure sequence respectively; All time points in the second period before each time point are recorded as reference time points of that time point; The water consumption vector and pressure vector of each time point are constructed according to the water consumption and pressure of all reference time points.

4. A method for analyzing and optimizing water pump energy efficiency according to claim 1, characterized in that: The water consumption vector and pressure vector are composed of the mean, slope and standard deviation of the water consumption and pressure at each time point and the reference time point.

5. The method for analyzing and optimizing the energy efficiency of a water pump according to claim 1, characterized in that: Before step S5, the method also includes: obtaining the operating energy efficiency of each water pump according to the total water delivery volume, energy consumption, rated energy efficiency of each water pump, and temperature of the water pump of each water pump in the second time period before the current moment.

6. A method for analyzing and optimizing water pump energy efficiency according to claim 5, characterized in that: The total water delivery of each water pump in the second period before the current moment and the rated energy efficiency of each water pump are positively correlated with the operating energy efficiency of each water pump, and the energy consumption of each water pump in the second period before the current moment is negatively correlated with the operating energy efficiency of each water pump.

7. The method for analyzing and optimizing the energy efficiency of a water pump according to claim 1, characterized in that: Step S5 specifically includes: Comparing the predicted water demand and the total water supply; If the predicted water demand is greater than or equal to the total water supply, turn off the low-efficiency water pump, increase the speed of the medium-efficiency and high-efficiency water pumps, and start additional high-efficiency water pumps as needed, so that the adjusted estimated total water supply is greater than the predicted water demand; If the predicted water demand is less than the total water supply, no adjustment will be made or the low-efficiency pumps will be shut down or some medium-efficiency pumps will be shut down and the speed of the remaining pumps will be increased.

8. A system for analyzing and optimizing the energy efficiency of a water pump, characterized in that: The system comprises: The sensor detection module is used to collect the water flow rate, temperature, water pressure and energy consumption data of each water pump based on the sensors installed in the water supply system; A comprehensive similarity acquisition module is used to obtain the comprehensive similarity of the water consumption vector and pressure vector at the current moment and that at the moment in the historical data according to the cosine similarity of the water consumption vector and pressure vector at the current moment and that at the moment in the historical data; A water demand acquisition module is used to acquire the predicted water demand for the first time period in the future at the current moment based on the water consumption at each time point in the subsequent first time period of all historical similar moments at the current moment; A water supply acquisition module is used to obtain the total water supply in the first period of the future at the current moment through the water flow rate of each water pump at the current moment; The water pump energy efficiency acquisition module is used to obtain the operating energy efficiency of each water pump according to the total water delivery volume, energy consumption, rated energy efficiency and temperature of each water pump in the second period before the current moment; The water pump optimization control module is used to compare the predicted water demand and the total water supply. If the predicted water demand is greater than or equal to the total water supply, the number of water pumps turned on is increased or the water pump speed is adjusted; otherwise, the low-efficiency water pump is turned off.

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