Water supply system energy consumption evaluation monitoring system and method based on data analysis

Abstract

The invention discloses a water supply system energy consumption assessment monitoring system and method based on data analysis, and relates to the technical field of water supply energy consumption assessment. Energy consumption data of water supply equipment and load data of a water supply system are obtained; dividing the time of one day into different time periods, and extracting typical load data and a target time period of the water supply system; in the target time period of the water supply system, energy consumption of the ith water supply equipment is obtained and analyzed, and whether the ith water supply equipment is in an abnormal high-energy-consumption state or not is judged; the energy consumption distribution data of all the water supply devices in the target time period of the water supply system are obtained, the energy consumption score of the ith water supply device is obtained through analysis, the energy consumption state of the water supply devices is analyzed without depending on the flow of the water supply devices, the water supply devices do not need to be manually detected one by one, and large-scale monitoring can be achieved; manual participation is reduced, the water supply equipment can be detected in real time, and the detection efficiency and timeliness are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water supply energy consumption assessment, and in particular to a water supply system energy consumption assessment and monitoring system and method based on data analysis. Background Art

[0002] The energy consumption assessment of the water supply system is to promote the energy consumption management, water supply quality and efficiency improvement of water supply enterprises from the perspective of energy management and control, with the goal of achieving energy conservation, emission reduction and high-quality development. On the basis of basic data investigation and analysis and key equipment testing, the energy consumption assessment indicators of the water supply system are comprehensively scored to achieve quantitative evaluation of the current energy consumption of the water supply system. Water supply equipment is a facility and equipment that provides water resources. Its operation requires a certain amount of energy. The energy consumption of water supply equipment is one of the important factors affecting energy consumption. In the process of energy consumption assessment of water supply equipment, flow data is needed, but a large number of water supply equipment are not equipped with flow meters, and accurate flow data cannot be obtained, which brings difficulties to the energy consumption assessment of water supply equipment; at present, the energy consumption assessment of water supply equipment mainly relies on manpower. The assessment team is composed of personnel with professional backgrounds in water supply production, electromechanical operation and management, and pipe network operation. At a frequency of once every two years, a large number of water supply equipment are evaluated by manpower. Due to the limited energy of people and the long assessment cycle, the possibility of abnormally high energy consumption equipment being discovered in time is reduced. Summary of the invention

[0003] The purpose of the present invention is to provide a water supply system energy consumption assessment and monitoring system and method based on data analysis to solve the problems raised in the prior art.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a water supply system energy consumption assessment and monitoring system based on data analysis, comprising a data acquisition module, a data analysis module, a data storage module, a data interaction module and an output module; the output end of the data acquisition module is connected to the input end of the data storage module, so as to obtain the energy consumption data of the water supply equipment; the output end of the data storage module is connected to the input end of the data analysis module, so as to store the energy consumption data of the water supply system and the water supply equipment; the output end of the data analysis module is connected to the input end of the output module, so as to analyze the energy consumption of the water supply equipment, identify the abnormally high energy consumption state of the water supply equipment, and generate the energy consumption score of the water supply equipment; the output end of the data interaction module is connected to the input end of the data storage module, so as to obtain the maintenance information of the water supply equipment; the output module is used to display the energy consumption score of the water supply equipment and the abnormally high energy consumption state identification result in the form of a list.

[0005] The data acquisition module also includes a flow measurement unit and an electrical parameter measurement unit; the flow measurement unit is used to obtain the flow of the water supply system and obtain the load data of the water supply system; the electrical parameter measurement unit is used to obtain the energy consumption information of the water supply equipment. The data analysis module also includes a target time period extraction unit, a box plot detection unit, a regression unit and an energy consumption scoring unit; the target time period extraction unit is used to extract the typical load and the target time period; the box plot detection unit generates the lower edge through the box plot method and performs anomaly detection on the data; the regression unit is used to train a multivariate linear regression model of the target time period transfer energy efficiency; the energy consumption scoring unit is used to calculate the energy consumption score of the water supply equipment. The energy consumption scoring unit obtains the weight of the target time period according to the number of time periods included in the classification cluster to which the target time period belongs, and obtains the energy consumption score of the water supply equipment according to the transfer energy efficiency of the water supply equipment in the target time period and the weight of the target time period.

[0006] To achieve the above object, the present invention provides the following technical solution: a water supply system energy consumption assessment and monitoring method based on data analysis, comprising the following steps:

[0007] S11, obtaining energy consumption data of water supply equipment and load data of water supply system; dividing a day into different time periods, extracting typical load data and target time periods of the water supply system;

[0008] S12, in the target time period of the water supply system, obtain the energy consumption of the i-th water supply equipment itself and analyze it to determine whether the i-th water supply equipment is in an abnormally high energy consumption state. If not, proceed to step S13. If so, add the i-th water supply equipment to the maintenance target;

[0009] S13, obtaining energy consumption distribution data of all water supply equipment in the target time period of the water supply system, analyzing and obtaining the energy consumption score of the ith water supply equipment, and generating maintenance targets for the water supply equipment.

[0010] In step S11, dividing a day into different time periods and extracting typical load data and target time periods of the water supply system further comprises the following steps:

[0011] S21, divide a day into n time periods on average, where n is a positive integer; obtain historical load data of the water supply system in each time period, and calculate the average load of each time period based on the historical load data;

[0012] S22, randomly select the average load of k time periods as the initial centroid and form a classification cluster, k is a positive integer, and k is set according to the load of the water supply system;

[0013] S23, calculating the absolute value of the error between the average load of the time period other than the centroid and the centroid, and assigning the average load of the unselected time period to the classification cluster of the centroid with the smallest Euclidean distance;

[0014] S24, calculating the average of all average loads in each classification cluster, and taking the average as the new centroid; determining the time period to which the centroid belongs: calculating the absolute value of the error between the centroid and the average load in the classification cluster to which it belongs, and the time period corresponding to the average load with the smallest absolute value of the error between the centroid and the average load is the time period of the centroid;

[0015] S25, repeating steps S23 and S24 until the maximum number of iterations is reached, at which point the centroid of the classification cluster is the typical load of the water supply system, and the time period to which the centroid belongs is the target time period.

[0016] The efficiency of water supply equipment will change with the load, and it has different efficiencies under different loads. The load is affected by people's water demand and changes periodically. Therefore, it is necessary to analyze the efficiency of water supply equipment under different loads.

[0017] In step S12, the energy consumption change trend of the i-th water supply device is analyzed to determine whether the i-th water supply device is in an abnormally high energy consumption state, and further includes the following steps:

[0018] S31, obtaining the energy consumption of the i-th water supply equipment and the load data of the water supply system in n time periods in the historical data, calculating the ratio of load to energy consumption to obtain the first transfer energy efficiency; obtaining the j-th target time period, taking the first transfer energy efficiency of other time periods as input, and the first transfer energy efficiency of the j-th target time period as output, and training a multivariate linear regression model of the transfer energy efficiency of the j-th target time period;

[0019] S32, obtaining the energy consumption data of the ith water supply equipment and the load data of the water supply system in n time periods on different dates from historical data, and calculating the ratio of load to energy consumption to obtain the first transfer energy efficiency; using the multivariate linear regression model of the transfer energy efficiency of the jth target time period, taking the transfer energy efficiency of other time periods except the jth target time period as input, and generating the second transfer energy efficiency; performing weighted summation of the second transfer energy efficiency and the first transfer energy efficiency to obtain the target transfer energy efficiency, and generating the transfer energy efficiency curve of the ith water supply equipment according to the target transfer energy efficiency, wherein the horizontal axis is the date and the vertical axis is the target transfer energy efficiency;

[0020] S33, perform an outlier detection on the transfer energy efficiency curve of the i-th water supply equipment to determine whether there is an outlier: calculate the average value μ and standard deviation σ of the transfer energy efficiency curve, generate a baseline μ-aσ, where a is a positive integer. If there is a part in the transfer energy efficiency curve that is smaller than the baseline, the i-th water supply equipment is in an abnormally high energy consumption state, and the process ends; if there is no part in the transfer energy efficiency curve that is smaller than the baseline, proceed to step S34;

[0021] S34, in the transfer energy efficiency curve of the i-th water supply equipment, calculate the difference between the previous target transfer energy efficiency and the next target transfer energy efficiency, and calculate the change value V of the target transfer energy efficiency of the i-th water supply equipment, where b1, b2, …, b m is the weight, b1>b2>…>b m , e1 is the latest value of the difference between the previous target transfer energy efficiency and the next target transfer energy efficiency, …, e m is the oldest value of the difference between the previous target transfer energy efficiency and the next target transfer energy efficiency; compare the change value V of the target transfer energy efficiency of the ith water supply equipment with the threshold. If V is less than the threshold, it is judged that the ith water supply equipment is in an abnormally high energy consumption state; if V is not less than the threshold, continue to analyze the ith water supply equipment.

[0022] The load of the water supply equipment is affected by the water supply system. When the load of the water supply system increases, the load of the water supply equipment also increases. For the same water supply equipment, when bearing the same load, as the equipment ages and the efficiency decreases, the power consumption will increase. First, the first transfer energy efficiency of each target time period is analyzed with the data of the equipment itself. If there is an abnormally low first transfer energy efficiency, it means that the water supply equipment is in an abnormally high energy consumption state under the load of the target time period. Then, the change value V of the target transfer energy efficiency of each target time period is analyzed. People's water use fluctuates, so the target transfer energy efficiency also fluctuates. For example, the water supply equipment is efficient under low load and less efficient under high load. As the water use changes, the target transfer energy efficiency reflected by the water supply equipment also changes. However, the water use situation will not always change in the same direction. The loss of the water supply equipment will basically not change in a short period of time. The target transfer energy efficiency of the water supply equipment should also fluctuate within a certain range. If the target transfer energy efficiency of the water supply equipment decreases significantly within m+1 days, it means that the water supply equipment is in an abnormally high energy consumption state.

[0023] The energy consumption judgment of the water supply equipment depends on the electrical parameter measurement results of the water supply equipment. If the electrical parameter measurement of the water supply equipment is affected during the target time period, it will affect the energy consumption judgment. To this end, the transfer energy efficiency of the target time period is obtained through the data of all time periods throughout the day. In the same day, the loss of the water supply equipment is basically the same, and the efficiency under high and low loads matches each other. For example, when the loss is c1, the efficiency of the water supply equipment under high and low loads is r1 and g1. When the loss is c2, the efficiency of the water supply equipment under high and low loads is r2 and g2. Then r1 and g1, r2 and g2 match. When the transfer energy efficiency data of the water supply equipment in other time periods except the jth target time period is obtained, the loss of the water supply equipment can be reflected, and then the transfer energy efficiency data of the jth target time period is obtained. The weighted summation of the second and first transfer energy efficiencies can reduce the interference caused by electrical measurement errors.

[0024] In step S34, the threshold is determined by the following steps:

[0025] Obtain the change value of the target transfer energy efficiency of other water supply equipment, and assign weights according to the status of other water supply equipment. If there are test results for other water supply equipment and it is determined that there is no abnormally high energy consumption state, increase the weight; if there are test results for other water supply equipment and it is determined that there is an abnormally high energy consumption state, set the weight to 0; if there are no test results for other water supply equipment, reduce the weight, and perform weighted summation of the change value of the transfer energy efficiency of other water supply equipment according to the weight to obtain a reference value; calculate the difference between the change value of the target transfer energy efficiency of other water supply equipment without test results and the reference value, and determine the lower edge of the difference through the box plot method, and add the lower edge to the reference value to obtain the threshold.

[0026] Obtain the energy consumption data of all water supply equipment and the load data of the water supply system in the jth target time period on different dates from historical data, calculate the ratio of load to energy consumption to obtain the first transfer energy efficiency of all water supply equipment in the jth target time period, obtain the second transfer energy efficiency of all water supply equipment in the jth target time period through a multivariate linear regression model, and obtain the target transfer energy efficiency of all water supply equipment in the jth target time period based on the first transfer energy efficiency and the second transfer energy efficiency;

[0027] Analyze whether the target transfer energy efficiency of the i-th water supply equipment is an outlier, obtain the target transfer energy efficiency of all water supply equipment in the j-th target time period, and perform box plot analysis to obtain the lower edge. If the target transfer energy efficiency of the i-th water supply equipment does not have a part that is less than the lower edge, then the target transfer energy efficiency of the i-th water supply equipment is not an outlier. Otherwise, the target transfer energy efficiency of the i-th water supply equipment is an outlier, and there is an abnormally high energy consumption state.

[0028] In step S13, the following steps are specifically included:

[0029] Obtain the number of time periods Nj contained in the classification cluster to which the j-th target time period belongs, and calculate the weight Wj of the j-th target time period, Wj = Nj / n; obtain the energy consumption score Pi of the i-th water supply equipment according to the transfer energy efficiency of the i-th water supply equipment, Where Fi j is the target transfer energy efficiency of the i-th water supply equipment in the j-th target time period.

[0030] Compared with the prior art, the beneficial effects of the present invention are: it is independent of the flow rate of the water supply equipment, analyzes the energy consumption status of the water supply equipment, does not require manual inspection of the water supply equipment one by one, and can achieve large-scale monitoring; it reduces manual participation, can inspect the water supply equipment in real time, and improves the efficiency and timeliness of the inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a structural schematic diagram of the water supply system energy consumption assessment and monitoring system based on data analysis of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Example: Figure 1 As shown, the present invention provides a technical solution, a water supply system energy consumption assessment and monitoring system based on data analysis, including a data acquisition module, a data analysis module, a data storage module, a data interaction module and an output module; the output end of the data acquisition module is connected to the input end of the data storage module, for acquiring the energy consumption data of the water supply equipment; the output end of the data storage module is connected to the input end of the data analysis module, for storing the energy consumption data of the water supply system and the water supply equipment; the output end of the data analysis module is connected to the input end of the output module, for analyzing the energy consumption of the water supply equipment, identifying the abnormally high energy consumption state of the water supply equipment, and generating an energy consumption score for the water supply equipment; the output end of the data interaction module is connected to the input end of the data storage module, for acquiring the maintenance information of the water supply equipment; the output module is used to display the energy consumption score of the water supply equipment and the abnormally high energy consumption state identification result in the form of a list.

[0034] The data acquisition module also includes a flow measurement unit and an electrical parameter measurement unit; the flow measurement unit is used to obtain the flow of the water supply system and obtain the load data of the water supply system; the electrical parameter measurement unit is used to obtain the energy consumption information of the water supply equipment. The data analysis module also includes a target time period extraction unit, a box plot detection unit, a regression unit and an energy consumption scoring unit; the target time period extraction unit is used to extract the typical load and the target time period; the box plot detection unit generates the lower edge through the box plot method and performs anomaly detection on the data; the regression unit is used to train a multivariate linear regression model of the target time period transfer energy efficiency; the energy consumption scoring unit is used to calculate the energy consumption score of the water supply equipment. The energy consumption scoring unit obtains the weight of the target time period according to the number of time periods included in the classification cluster to which the target time period belongs, and obtains the energy consumption score of the water supply equipment according to the transfer energy efficiency of the water supply equipment in the target time period and the weight of the target time period.

[0035] Embodiment: The present invention provides a technical solution, a method for evaluating and monitoring energy consumption of a water supply system based on data analysis, comprising the following steps:

[0036] S11, obtaining energy consumption data of water supply equipment and load data of water supply system; dividing a day into different time periods, extracting typical load data and target time periods of the water supply system:

[0037] Divide a day into n time periods on average, where n is a positive integer; obtain the historical load data of the water supply system in each time period, and calculate the average load of each time period based on the historical load data; randomly select the average load of k time periods as the initial centroid and form a classification cluster, where k is a positive integer and is set according to the load conditions of the water supply system;

[0038] S100, calculating the absolute value of the error between the average load of the time period other than the centroid and the centroid, and assigning the average load of the unselected time period to the classification cluster of the centroid with the smallest Euclidean distance;

[0039] S200, calculating the average of all average loads in each classification cluster, and taking the average as the new centroid; determining the time period to which the centroid belongs: calculating the absolute value of the error between the centroid and the average load in the classification cluster to which it belongs, and the time period corresponding to the average load with the smallest absolute value of the error between the centroid and the average load is the time period of the centroid;

[0040] Steps S100 and S200 are repeated until the maximum number of iterations is reached, at which point the centroid of the classification cluster is the typical load of the water supply system, and the time period to which the centroid belongs is the target time period.

[0041] Optionally, n is set to 24 and k is set to 3, that is, a day is divided into 24 hours, and the load of the water supply system is divided into peak hours, valley hours and normal hours. The efficiency of the water supply equipment is analyzed in the target time period containing the three typical loads, so that the water supply equipment can be comprehensively evaluated without analyzing all time periods.

[0042] S12, in the target time period of the water supply system, obtain the energy consumption of the i-th water supply equipment itself and analyze it to determine whether the i-th water supply equipment is in an abnormally high energy consumption state. If not, proceed to step S13. If so, add the i-th water supply equipment to the maintenance target;

[0043] Determining whether the i-th water supply device is in an abnormally high energy consumption state also includes the following steps:

[0044] S31, obtaining the energy consumption of the i-th water supply equipment and the load data of the water supply system in n time periods in the historical data, calculating the ratio of load to energy consumption to obtain the first transfer energy efficiency; obtaining the j-th target time period, taking the first transfer energy efficiency of other time periods as input, and the first transfer energy efficiency of the j-th target time period as output, and training a multivariate linear regression model of the transfer energy efficiency of the j-th target time period;

[0045] S32, obtaining the energy consumption data of the ith water supply equipment and the load data of the water supply system in n time periods on different dates from historical data, and calculating the ratio of load to energy consumption to obtain the first transfer energy efficiency; using the multivariate linear regression model of the transfer energy efficiency of the jth target time period, taking the transfer energy efficiency of other time periods except the jth target time period as input, and generating the second transfer energy efficiency; performing weighted summation of the second transfer energy efficiency and the first transfer energy efficiency to obtain the target transfer energy efficiency, and generating the transfer energy efficiency curve of the ith water supply equipment according to the target transfer energy efficiency, wherein the horizontal axis is the date and the vertical axis is the target transfer energy efficiency;

[0046] In the data of one day, the first transfer energy efficiency of 24 time periods can be obtained. When the first time period is the target time period, the regression model is trained through the data of the remaining 23 time periods. The data of one day is taken as a set of input and output data, and the input and output data of different dates are input to obtain the regression model parameters.

[0047] S33, perform an outlier detection on the transfer energy efficiency curve of the i-th water supply equipment to determine whether there is an outlier: calculate the average value μ and standard deviation σ of the transfer energy efficiency curve, generate a baseline μ-aσ, where a is a positive integer. If there is a part in the transfer energy efficiency curve that is smaller than the baseline, the i-th water supply equipment is in an abnormally high energy consumption state, and the process ends; if there is no part in the transfer energy efficiency curve that is smaller than the baseline, proceed to step S34;

[0048] S34, in the transfer energy efficiency curve of the i-th water supply equipment, calculate the difference between the previous target transfer energy efficiency and the next target transfer energy efficiency, and calculate the change value V of the target transfer energy efficiency of the i-th water supply equipment, where b1, b2, …, b m is the weight, b1>b2>…>b m , e1 is the latest value of the difference between the previous target transfer energy efficiency and the next target transfer energy efficiency, …, e m is the oldest value of the difference between the previous target transfer energy efficiency and the next target transfer energy efficiency; compare the change value V of the target transfer energy efficiency of the ith water supply equipment with the threshold. If V is less than the threshold, it is judged that the ith water supply equipment is in an abnormally high energy consumption state; if V is not less than the threshold, continue to analyze the ith water supply equipment.

[0049] The threshold is determined by the following steps:

[0050] Obtain the change value of the target transfer energy efficiency of other water supply equipment, and assign weights according to the status of other water supply equipment. If there are test results for other water supply equipment and it is determined that there is no abnormally high energy consumption state, increase the weight; if there are test results for other water supply equipment and it is determined that there is an abnormally high energy consumption state, set the weight to 0; if there are no test results for other water supply equipment, reduce the weight, and perform weighted summation of the change value of the transfer energy efficiency of other water supply equipment according to the weight to obtain a reference value; calculate the difference between the change value of the target transfer energy efficiency of other water supply equipment without test results and the reference value, and determine the lower edge of the difference through the box plot method, and add the lower edge to the reference value to obtain the threshold.

[0051] S13, obtaining the energy consumption distribution data of all water supply equipment in the target time period of the water supply system, and analyzing to obtain the energy consumption score of the i-th water supply equipment:

[0052] Obtain the energy consumption data of all water supply equipment and the load data of the water supply system in the jth target time period on different dates from historical data, calculate the ratio of load to energy consumption to obtain the first transfer energy efficiency of all water supply equipment in the jth target time period, obtain the second transfer energy efficiency of all water supply equipment in the jth target time period through a multivariate linear regression model, and obtain the target transfer energy efficiency of all water supply equipment in the jth target time period based on the first transfer energy efficiency and the second transfer energy efficiency;

[0053] The target transfer energy efficiency can be weightedly summed according to the first transfer energy efficiency and the second transfer energy efficiency, wherein the weight of the first transfer energy efficiency decreases as the number n increases. This is because the more time periods are divided, the shorter the target time period is, and the lower the probability of being discovered when the electrical measuring equipment fails within the target time period. This leads to a higher probability of using erroneous data when evaluating the energy consumption of the water supply equipment.

[0054] Analyze whether the target transfer energy efficiency of the i-th water supply equipment is an outlier, obtain the target transfer energy efficiency of all water supply equipment in the j-th target time period, and perform box plot analysis to obtain the lower edge. If the target transfer energy efficiency of the i-th water supply equipment does not have a part that is less than the lower edge, then the target transfer energy efficiency of the i-th water supply equipment is not an outlier. Otherwise, the target transfer energy efficiency of the i-th water supply equipment is an outlier, and there is an abnormally high energy consumption state.

[0055] Obtain the number of time periods Nj contained in the classification cluster to which the j-th target time period belongs, and calculate the weight Wj of the j-th target time period, Wj = Nj / n; obtain the energy consumption score Pi of the i-th water supply equipment according to the transfer energy efficiency of the i-th water supply equipment, Where Fi j is the target transfer energy efficiency of the i-th water supply equipment in the j-th target time period.

[0056] Generate maintenance targets for water supply equipment, add all water supply equipment with abnormally high energy consumption to the maintenance targets, and for water supply equipment without abnormally high energy consumption, perform maintenance in ascending order based on the energy consumption score.

[0057] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A water supply system energy consumption assessment and monitoring method based on data analysis, characterized in that: The following steps are involved: S11, obtaining energy consumption data of water supply equipment and load data of water supply system; dividing a day into different time periods, extracting typical load data and target time periods of the water supply system; S12, in the target time period of the water supply system, obtain the energy consumption of the i-th water supply equipment itself and analyze it to determine whether the i-th water supply equipment is in an abnormally high energy consumption state. If not, proceed to step S13. If so, add the i-th water supply equipment to the maintenance target; S13, obtaining energy consumption distribution data of all water supply equipment in the target time period of the water supply system, analyzing and obtaining the energy consumption score of the ith water supply equipment, and generating maintenance targets for the water supply equipment.

2. The water supply system energy consumption assessment and monitoring method based on data analysis according to claim 1 is characterized in that: In step S11, dividing a day into different time periods and extracting typical load data and target time periods of the water supply system further comprises the following steps: S21, divide a day into n time periods on average, where n is a positive integer; obtain historical load data of the water supply system in each time period, and calculate the average load of each time period based on the historical load data; S22, randomly select the average load of k time periods as the initial centroid and form a classification cluster, k is a positive integer, and k is set according to the load of the water supply system; S23, calculating the absolute value of the error between the average load of the time period other than the centroid and the centroid, and assigning the average load of the unselected time period to the classification cluster of the centroid with the smallest Euclidean distance; S24, calculating the average of all average loads in each classification cluster, and taking the average as the new centroid; determining the time period to which the centroid belongs: calculating the absolute value of the error between the centroid and the average load in the classification cluster to which it belongs, and the time period corresponding to the average load with the smallest absolute value of the error between the centroid and the average load is the time period of the centroid; S25, repeating steps S23 and S24 until the maximum number of iterations is reached, at which point the centroid of the classification cluster is the typical load of the water supply system, and the time period to which the centroid belongs is the target time period.

3. The water supply system energy consumption assessment and monitoring method based on data analysis according to claim 2 is characterized in that: In step S12, the energy consumption change trend of the i-th water supply device is analyzed to determine whether the i-th water supply device is in an abnormally high energy consumption state, and further includes the following steps: S31, obtaining the energy consumption of the i-th water supply equipment and the load data of the water supply system in n time periods in the historical data, calculating the ratio of load to energy consumption to obtain the first transfer energy efficiency; obtaining the j-th target time period, taking the first transfer energy efficiency of other time periods as input, and the first transfer energy efficiency of the j-th target time period as output, and training a multivariate linear regression model of the transfer energy efficiency of the j-th target time period; S32, obtaining the energy consumption data of the ith water supply equipment and the load data of the water supply system in n time periods on different dates from historical data, and calculating the ratio of load to energy consumption to obtain the first transfer energy efficiency; using the multivariate linear regression model of the transfer energy efficiency of the jth target time period, taking the transfer energy efficiency of other time periods except the jth target time period as input, and generating the second transfer energy efficiency; performing weighted summation of the second transfer energy efficiency and the first transfer energy efficiency to obtain the target transfer energy efficiency, and generating the transfer energy efficiency curve of the ith water supply equipment according to the target transfer energy efficiency, wherein the horizontal axis is the date and the vertical axis is the target transfer energy efficiency; S33, perform an outlier detection on the transfer energy efficiency curve of the i-th water supply equipment to determine whether there is an outlier: calculate the average value μ and standard deviation σ of the transfer energy efficiency curve, generate a baseline μ-aσ, where a is a positive integer. If there is a part in the transfer energy efficiency curve that is smaller than the baseline, the i-th water supply equipment is in an abnormally high energy consumption state, and the process ends; if there is no part in the transfer energy efficiency curve that is smaller than the baseline, proceed to step S34; S34, in the transfer energy efficiency curve of the i-th water supply equipment, calculate the difference between the previous target transfer energy efficiency and the next target transfer energy efficiency, and calculate the change value V of the target transfer energy efficiency of the i-th water supply equipment, where b1, b2, …, b m is the weight, b1>b2>…>b m , e1 is the latest value of the difference between the previous target transfer energy efficiency and the next target transfer energy efficiency, …, e m is the oldest value of the difference between the previous target transfer energy efficiency and the next target transfer energy efficiency; compare the change value V of the target transfer energy efficiency of the ith water supply equipment with the threshold. If V is less than the threshold, it is judged that the ith water supply equipment is in an abnormally high energy consumption state; if V is not less than the threshold, continue to analyze the ith water supply equipment.

4. The water supply system energy consumption assessment and monitoring method based on data analysis according to claim 3 is characterized in that: In step S34, the threshold is determined by the following steps: Obtain the change value of the target transfer energy efficiency of other water supply equipment, and assign weights according to the status of other water supply equipment. If there are detection results for other water supply equipment and it is determined that there is no abnormally high energy consumption state, increase the weight; if there are detection results for other water supply equipment and it is determined that there is an abnormally high energy consumption state, set the weight to 0; If there is no test result for other water supply equipment, the weight is reduced, and the change value of the transfer energy efficiency of other water supply equipment is weighted and summed according to the weight to obtain the reference value; The difference between the change value of the target transfer energy efficiency of other water supply equipment without detection results and the reference value is calculated, and the lower edge of the difference is determined by the box plot method, and the threshold is obtained by adding the lower edge to the reference value.

5. The water supply system energy consumption assessment and monitoring method based on data analysis according to claim 4 is characterized in that: In step S13, the following steps are also included: Obtain the energy consumption data of all water supply equipment and the load data of the water supply system in the jth target time period on different dates from historical data, calculate the ratio of load to energy consumption to obtain the first transfer energy efficiency of all water supply equipment in the jth target time period, obtain the second transfer energy efficiency of all water supply equipment in the jth target time period through a multivariate linear regression model, and obtain the target transfer energy efficiency of all water supply equipment in the jth target time period based on the first transfer energy efficiency and the second transfer energy efficiency; Analyze whether the target transfer energy efficiency of the i-th water supply equipment is an outlier, obtain the target transfer energy efficiency of all water supply equipment in the j-th target time period, and perform box plot analysis to obtain the lower edge. If the target transfer energy efficiency of the i-th water supply equipment does not have a part that is less than the lower edge, then the target transfer energy efficiency of the i-th water supply equipment is not an outlier. Otherwise, the target transfer energy efficiency of the i-th water supply equipment is an outlier, and there is an abnormally high energy consumption state.

6. The method for evaluating and monitoring energy consumption of a water supply system based on data analysis according to claim 5 is characterized in that: In step S13, the following steps are specifically included: Obtain the number of time periods Nj contained in the classification cluster to which the j-th target time period belongs, and calculate the weight Wj of the j-th target time period, Wj = Nj / n; obtain the energy consumption score Pi of the i-th water supply equipment according to the transfer energy efficiency of the i-th water supply equipment, Where Fij is the target transfer energy efficiency of the i-th water supply equipment in the j-th target time period.

7. A water supply system energy consumption assessment and monitoring system based on data analysis, using the water supply system energy consumption assessment and monitoring method based on data analysis as described in any one of claims 1 to 6, characterized in that: It includes a data acquisition module, a data analysis module, a data storage module, a data interaction module and an output module; the output end of the data acquisition module is connected to the input end of the data storage module, and is used to obtain the energy consumption data of the water supply equipment; the output end of the data storage module is connected to the input end of the data analysis module, and is used to store the energy consumption data of the water supply system and the water supply equipment; the output end of the data analysis module is connected to the input end of the output module, and is used to analyze the energy consumption of the water supply equipment, identify the abnormally high energy consumption state of the water supply equipment, and generate the energy consumption score of the water supply equipment; the output end of the data interaction module is connected to the input end of the data storage module, and is used to obtain the maintenance information of the water supply equipment; The output module is used to display the energy consumption scores of the water supply equipment and the abnormally high energy consumption state identification results in a list form.

8. The water supply system energy consumption assessment and monitoring system based on data analysis according to claim 7 is characterized in that: The data acquisition module also includes a flow measurement unit and an electrical parameter measurement unit; the flow measurement unit is used to obtain the flow of the water supply system and obtain the load data of the water supply system; the electrical parameter measurement unit is used to obtain the energy consumption information of the water supply equipment.

9. The water supply system energy consumption assessment and monitoring system based on data analysis according to claim 7, characterized in that: The data analysis module also includes a target time period extraction unit, a box plot detection unit, a regression unit and an energy consumption scoring unit; the target time period extraction unit is used to extract typical loads and target time periods; the box plot detection unit generates a lower edge through a box plot method to perform anomaly detection on the data; the regression unit is used to train a multivariate linear regression model for target time period transfer energy efficiency; the energy consumption scoring unit is used to calculate the energy consumption score of the water supply equipment.

10. The water supply system energy consumption assessment and monitoring system based on data analysis according to claim 9, characterized in that: The energy consumption scoring unit obtains the weight of the target time period according to the number of time periods included in the classification cluster to which the target time period belongs, and obtains the energy consumption score of the water supply equipment according to the transfer energy efficiency of the water supply equipment in the target time period and the weight of the target time period.

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