Secondary water supply intelligent pump room management and control method and system based on Internet of Things

Abstract

The invention relates to the technical field of pump room management, in particular to a secondary water supply intelligent pump room management and control method and system based on the Internet of Things, and the method comprises the following steps: extracting the water consumption of different time periods based on the historical operation record of a pump room, analyzing the influence of the environment temperature on the water consumption, monitoring the current environment temperature in real time through a temperature sensor, and obtaining the water consumption of the pump room; and predicting the water consumption in the future time period to obtain a water consumption prediction result. According to the method, the future water consumption is predicted by integrating temperature sensor data and real-time weather information, the water consumption peak is effectively dealt with by adjusting the start-stop time of pump room equipment and the water supply pressure in the water consumption peak period, the pressure feedback of high-rise users on secondary water supply is collected, and the operation parameters of the pump room equipment are adjusted in time, so that the water consumption is effectively reduced. Accurate control of water supply pressure and user satisfaction are improved, equipment operation states are monitored in real time, potential faults are identified, reliability and long-term maintenance efficiency of pump room equipment are improved, and efficient and stable operation of a water supply system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of pump room management, and in particular to a secondary water supply intelligent pump room control method and system based on the Internet of Things. Background Art

[0002] The field of pump room management technology mainly involves the operation, monitoring and maintenance process of water pumps to ensure the efficient and stable operation of the water supply system, and to achieve optimized control of equipment through automation systems and software platforms, including water pressure regulation, flow control, energy consumption management, fault prediction and remote monitoring. It aims to optimize the energy efficiency of the pump room, reduce operation and maintenance costs, and ensure water supply safety and meet environmental protection requirements.

[0003] Among them, the secondary water supply smart pump room control method is a water supply system applied to urban buildings, especially to increase the tap water pressure to a level suitable for use in high-rise buildings. The method uses sensors, controllers and data processing technology to monitor and intelligently control the operating status of the pump room in real time, realize automatic adjustment of water pressure, optimization of energy consumption and prevention of faults, and improve water utilization efficiency and reliability of the water supply system. The method also includes maintenance and management of water supply equipment to reduce downtime and ensure the continuity and safety of water supply.

[0004] Traditional management and control methods mainly rely on fixed preset parameters, which cannot match water demand during peak water use periods, resulting in unstable water supply pressure and excessive energy consumption. They lack the ability to accurately predict future water consumption and cannot effectively adjust the operation strategy of pump room equipment dynamically according to changes in water consumption. This static adjustment method not only affects the maximization of energy efficiency, but also causes excessive wear and increased failure rate of equipment. Traditional methods are also slow to respond in equipment failure prediction and maintenance, and will only respond after the equipment has failed, increasing the risk of sudden downtime and maintenance costs, resulting in reduced operating efficiency and reliability of the water supply system, which is not conducive to the long-term sustainable development of pump room management. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings existing in the prior art and to propose a secondary water supply intelligent pump room control method and system based on the Internet of Things.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a secondary water supply intelligent pump room control method based on the Internet of Things, comprising the following steps:

[0007] S1: Based on the historical operation records of the pump room, extract the water consumption in different time periods, analyze the impact of ambient temperature on water consumption, and use temperature sensors to monitor the current ambient temperature in real time, predict the water consumption in future time periods, and obtain the water consumption prediction results;

[0008] S2: Based on the water consumption prediction result, the start and stop time of the pump room equipment is adjusted, and the water supply pressure during the peak water consumption period is adjusted to match the predicted water consumption, and the operation strategy adjustment information is obtained;

[0009] S3: Based on the pump operation strategy adjustment information and in combination with real-time electricity pricing information, the operation power consumption and operation time of the pump room equipment in the differentiated electricity price period are adjusted to obtain cost-optimized operation information;

[0010] S4: Based on the cost optimization operation information, collect feedback data on secondary water supply pressure from high-level users, evaluate the deviation between the current pump room water supply pressure and the user's target pressure, adjust the operation parameters of the pump room equipment in real time, and obtain user feedback adjustment information;

[0011] S5: Based on the user feedback adjustment information, the operating status of the pump room equipment is monitored in real time through the Internet of Things sensor, the health status of the pump room equipment is evaluated, and the equipment health status information is obtained;

[0012] S6: Based on the equipment health status information, evaluate whether the pump room equipment needs maintenance, adjust the maintenance cycle of the pump room equipment, and obtain pump room maintenance optimization information.

[0013] As a further solution of the present invention, the water consumption prediction results include water consumption in differentiated time periods and predicted water consumption peaks, the operation strategy adjustment information includes operation time period information, speed adjustment parameters and start-stop control strategies, the cost optimization operation information includes preferred electricity price time periods, energy-saving operation duration and cost-effectiveness information, the user feedback adjustment information includes pressure adjustment information and water supply adjustment information, the equipment health status information includes equipment performance scores and fault warning indicators, and the pump room maintenance optimization information includes a maintenance recommendation list, a replacement parts list and operation parameter adjustment information.

[0014] As a further solution of the present invention, based on the historical operation records of the pump room, the water consumption in differentiated time periods is extracted, the influence of ambient temperature on the water consumption is analyzed, and the current ambient temperature is monitored in real time through a temperature sensor to predict the water consumption in future time periods. The steps of obtaining the water consumption prediction result are specifically as follows:

[0015] S101: Based on the historical operation records of the pump room, extract the water consumption data of different dates and time periods, and distinguish the water consumption behaviors between working days and non-working days and morning and evening peak hours through data classification analysis to obtain the time period water consumption data;

[0016] S102: Based on the water use environment, the ambient temperature is detected in real time through a temperature sensor, and real-time weather data is collected. The weather data includes humidity and rainfall conditions, and environmental impact data is obtained;

[0017] S103: Based on the water consumption data and environmental impact data of the time period, the water consumption trend of the future time period is analyzed, and the water consumption in the future time period is predicted by using a multivariate linear regression algorithm in combination with the historical water consumption data of the same period to obtain a water consumption prediction result.

[0018] As a further solution of the present invention, the multivariate linear regression algorithm is according to the formula:

[0019]

[0020] Calculate the predicted water consumption, where Y is the predicted water consumption, β0 is the intercept term, β1, β2, β3 and β4 are regression coefficients, X1 is the historical water consumption in the same period, X2 is the ambient temperature, X3 is the ambient humidity, X4 is the rainfall, and ∈ is the error term.

[0021] As a further solution of the present invention, based on the water consumption prediction result, the start and stop time of the pump room equipment is adjusted, and the water supply pressure during the peak water consumption period is adjusted to match the predicted water consumption, and the steps of obtaining the operation strategy adjustment information are specifically as follows:

[0022] S201: Based on the water consumption prediction result, according to the water consumption prediction information of the differentiated time periods, adjusting the start and stop time of the pump room equipment in the differentiated time periods to obtain a start and stop adjustment table;

[0023] S202: Based on the start-stop adjustment table, according to the predicted peak water consumption period, adjust the water supply pressure during the peak water consumption period, optimize the water supply efficiency, and obtain predicted pressure adjustment information;

[0024] S203: Based on the predicted pressure adjustment information and the start-stop adjustment table, the operation settings of the pump room equipment are updated, the water supply period and pressure are optimized, the predicted demand is matched, and the operation strategy adjustment information is obtained.

[0025] As a further solution of the present invention, based on the pump operation strategy adjustment information, combined with real-time electricity pricing information, the operation power consumption and operation time of the pump room equipment in the differentiated electricity price period are adjusted to obtain the cost-optimized operation information in the following steps:

[0026] S301: Based on the operation strategy adjustment information, analyze the real-time power pricing information, count the power price levels of differentiated time periods, identify low power price periods, and obtain a low-cost power period table;

[0027] S302: Based on the low-cost electricity time table, the operation time period of the pump room equipment is adjusted, and the start and stop time of the pump room equipment in the low electricity price period is changed to obtain energy-saving start and stop information;

[0028] S303: Based on the energy-saving start-stop information, the operation mode of the pump room equipment is adjusted, the energy consumption during the high electricity price period is adjusted, excessive operation during the high electricity price period is avoided, the overall operation cost of the pump room is optimized, and cost-optimized operation information is obtained.

[0029] As a further solution of the present invention, based on the cost optimization operation information, feedback data of high-level users on secondary water supply pressure is collected, the deviation between the current pump room water supply pressure and the user's target pressure is evaluated, and the operation parameters of the pump room equipment are adjusted in real time. The steps of obtaining user feedback adjustment information are specifically as follows:

[0030] S401: Based on the cost optimization operation information, collect feedback data of high-level users on secondary water supply pressure, analyze user satisfaction and water supply effect, and obtain user pressure feedback data;

[0031] S402: Based on the user pressure feedback data, the current pump room water supply pressure is compared with the user demand, and the deviation between the current pump room pressure and the target pressure is analyzed and calculated to identify the pressure increase or decrease value required for adjustment, thereby obtaining a pressure deviation identification result;

[0032] S403: Based on the pressure deviation identification result, the water supply pressure of the pump room equipment is adjusted in real time, and according to the calculated adjustment amount, the pressure output setting of the pump room equipment is updated to optimize the water supply pressure, match the user's expectations, and obtain user feedback adjustment information.

[0033] As a further solution of the present invention, based on the user feedback adjustment information, the operation status of the pump room equipment is monitored in real time through the Internet of Things sensor, and the health status of the pump room equipment is evaluated. The steps of obtaining the equipment health status information are specifically as follows:

[0034] S501: Based on the user feedback adjustment information, the operation data of the pump room equipment is monitored in real time through the Internet of Things sensor, including the equipment temperature, vibration frequency and operating current parameters, to obtain the real-time operation data of the equipment;

[0035] S502: Based on the real-time operation data of the equipment, analyze the operation status of the equipment, and identify potential fault signs by comparing the real-time data with the historical data of normal operation of the equipment, including abnormal temperature rise, vibration increase, and abnormal current fluctuation of the equipment, marking the equipment with faults and performance degradation, and obtaining fault identification results;

[0036] S503: Based on the fault identification result, by inspecting and testing the marked equipment and combining the historical maintenance records of the equipment, the current health status of the equipment is evaluated to obtain equipment health status information.

[0037] As a further solution of the present invention, based on the equipment health status information, the steps of evaluating whether the pump room equipment needs maintenance, adjusting the maintenance cycle of the pump room equipment, and obtaining the pump room maintenance optimization information are specifically as follows:

[0038] S601: Based on the equipment health status information, evaluate the maintenance requirements of the pump room equipment, determine whether there are equipment that needs maintenance and equipment that needs preventive maintenance, and obtain maintenance requirement information;

[0039] S602: Based on the maintenance demand information, by analyzing the operating environment and workload of the pump room equipment, the maintenance cycle is adjusted to obtain maintenance cycle adjustment information;

[0040] S603: Based on the maintenance cycle adjustment information and maintenance requirement information, corresponding maintenance measures are implemented, and technical personnel are arranged to repair equipment marked as having faults and performance degradation, so as to optimize the stable operation of the pump room equipment and obtain pump room maintenance optimization information.

[0041] A secondary water supply smart pump room control system based on the Internet of Things, the secondary water supply smart pump room control system based on the Internet of Things is used to execute the secondary water supply smart pump room control method based on the Internet of Things, the system includes:

[0042] The water consumption forecasting module is based on the historical operation records of the pump room. By analyzing the historical water consumption data and real-time environmental data, it predicts the water demand in the future time period and obtains the water consumption forecast results.

[0043] The strategy adjustment module adjusts the start and stop time and water supply pressure of the pump room equipment based on the water consumption prediction result to match the predicted water demand and obtain operation strategy adjustment information;

[0044] The energy consumption optimization module optimizes the operation efficiency of the pump room equipment in the differentiated electricity price period based on the pump operation strategy adjustment information and combines the real-time electricity pricing information to obtain cost-optimized operation information;

[0045] The user feedback adjustment module collects user feedback on water supply pressure based on the cost optimization operation information, evaluates the deviation between the current pump room water supply pressure and the user's target pressure, identifies the required adjustment amount, adjusts the operating parameters of the pump room equipment, and obtains user feedback adjustment information;

[0046] The maintenance optimization module adjusts the information based on the user feedback, monitors the operating status of the pump room equipment in real time through the Internet of Things sensors, evaluates the health status of the pump room equipment, determines whether the pump room equipment needs maintenance, adjusts the maintenance cycle, and obtains pump room maintenance optimization information.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, by integrating temperature sensor data and real-time weather information, future water consumption is predicted, and by adjusting the start and stop time of the pump room equipment and the water supply pressure during the peak water consumption period, the water consumption peak is effectively responded to and the water demand is matched. The real-time electricity pricing information is utilized to optimize the operating power consumption and operating time of the pump room equipment in different electricity price periods, thereby optimizing the energy consumption cost. By collecting pressure feedback from high-level users on the secondary water supply and adjusting the operating parameters of the pump room equipment in time, the precise control of the water supply pressure and user satisfaction are improved, the equipment operating status is monitored in real time and potential faults are identified, the reliability of the pump room equipment and the efficiency of long-term maintenance are improved, the flexibility, efficiency and reliability of the pump room operation are improved, the operation and maintenance costs are reduced, and at the same time the efficient and stable operation of the water supply system is ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0050] Figure 2 This is a detailed flow chart of S1 of the present invention;

[0051] Figure 3 This is a detailed flow chart of S2 of the present invention;

[0052] Figure 4 This is a detailed flow chart of S3 of the present invention;

[0053] Figure 5 This is a detailed flow chart of S4 of the present invention;

[0054] Figure 6 This is a detailed flow chart of S5 of the present invention;

[0055] Figure 7 This is a detailed flow chart of S6 of the present invention;

[0056] Figure 8 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0059] See also Figure 1 The present invention provides a technical solution: a secondary water supply smart pump room control method based on the Internet of Things, comprising the following steps:

[0060] S1: Based on the historical operation records of the pump room, extract the water consumption in different time periods, analyze the impact of ambient temperature on water consumption, and use temperature sensors to monitor the current ambient temperature in real time, predict the water consumption in future time periods, and obtain the water consumption prediction results;

[0061] S2: Based on the water consumption forecast results, adjust the start and stop time of the pump room equipment and adjust the water supply pressure during the peak water consumption period to match the predicted water consumption and obtain the operation strategy adjustment information;

[0062] S3: Based on the pump operation strategy adjustment information and combined with the real-time electricity pricing information, the operation strategy of the pump room equipment is changed, the operation power consumption and operation time of the pump room equipment in the differentiated electricity price period are adjusted, the energy consumption cost is optimized, and the cost optimization operation information is obtained;

[0063] S4: Based on the cost optimization operation information, collect the feedback data of high-level users on the secondary water supply pressure, evaluate the deviation between the current pump room water supply pressure and the user's target pressure, identify the required adjustment amount, adjust the operating parameters of the pump room equipment in real time, and obtain the user feedback adjustment information;

[0064] S5: Based on user feedback and adjustment information, the operating status of the pump room equipment is monitored in real time through IoT sensors. By comparing the real-time operating data of the equipment, potential equipment failures and performance degradation are identified, the health status of the pump room equipment is evaluated, and the equipment health status information is obtained;

[0065] S6: Based on the equipment health status information, evaluate whether the pump room equipment needs maintenance, and adjust the maintenance cycle of the pump room equipment according to the changes in the health status of the pump room equipment, optimize the stable operation of the pump room equipment, and obtain the pump room maintenance optimization information.

[0066] The water consumption forecast results include the water consumption in differentiated time periods and the predicted peak water consumption; the operation strategy adjustment information includes the operation time period information, speed adjustment parameters and start-stop control strategies; the cost optimization operation information includes the preferred electricity price time period, energy-saving operation time and cost-effectiveness information; the user feedback adjustment information includes pressure adjustment information and water supply adjustment information; the equipment health status information includes the equipment performance score and fault warning indicators; the pump room maintenance optimization information includes the maintenance recommendation list, the replacement parts list and the operation parameter adjustment information.

[0067] See also Figure 2 Based on the historical operation records of the pump room, the water consumption in different time periods is extracted, the impact of ambient temperature on water consumption is analyzed, and the current ambient temperature is monitored in real time through the temperature sensor, and real-time weather data is obtained. Combined with the current season, the water consumption in the future period is predicted. The specific steps to obtain the water consumption prediction results are as follows:

[0068] S101: Based on the historical operation records of the pump room, extract the water consumption data of different dates and time periods, and distinguish the water consumption behaviors between working days and non-working days and morning and evening peak hours through data classification analysis. The specific process of obtaining the water consumption data of the time period is as follows;

[0069] In sub-step S101, preliminary screening and cleaning of data is performed based on the historical operation records of the pump room. First, the water consumption recorded by the hour in one year is exported from the database, including the data for each working day and holiday. Then, the data is screened to remove any dates with abnormal records (such as system maintenance days). In addition, the data is divided into morning and evening peak and non-peak hours. The water consumption data for each time period is obtained by weighted average method to obtain weighted water consumption, and the formula is: Among them, U dA is the total water consumption of a specific day type, w iA is the weight of the i-th period, nA is the total number of periods, indicating the proportion of water consumption in this period in the total water consumption for the day, and v iA The actual water consumption in the i-th period can effectively distinguish the water consumption patterns of working days and non-working days, provide a basis for further water consumption prediction, and obtain the water consumption data for the period.

[0070] S102: Based on the water use environment, the ambient temperature is detected in real time through a temperature sensor, and real-time weather data is collected. The weather data includes humidity and rainfall conditions. The specific process of obtaining environmental impact data is as follows;

[0071] In sub-step S102, the temperature sensor installed on site and the online weather service are used to obtain environmental parameter data in real time. The temperature sensor records data every 10 minutes and transmits it to the central processing system through the wireless network. In addition, the real-time humidity and rainfall data are obtained from the meteorological department through the API interface. After pre-processing, these data are used to calculate the environmental impact index, and the formula is as follows: E tA =α A ·T A +β A ·H A +γ A ·R A , where E tA represents the environmental impact index, T A is temperature, H A is humidity, R A Indicates the rainfall status (0 means no rain, 1 means rain), α A , β A , γ A are the influence coefficients of each environmental factor, and the environmental impact data are obtained.

[0072] S103: Based on the water consumption data and environmental impact data of the time period, the water consumption trend of the future period is analyzed, and the water consumption in the future period is predicted by using a multivariate linear regression algorithm in combination with the historical water consumption data of the same period. The specific process of obtaining the water consumption prediction result is as follows;

[0073] In sub-step S103, based on the obtained time period water consumption data and environmental impact data, combined with the historical water consumption data for the same period, a multivariate linear regression model is used to analyze future water consumption, predict water demand under different environmental conditions, and obtain water consumption prediction results.

[0074] The multivariate linear regression algorithm is based on the formula:

[0075]

[0076] Calculate the predicted water consumption, where Y is the predicted water consumption, β0 is the intercept term, which represents the baseline water consumption when all explanatory variables are zero, β1, β2, β3 and β4 are regression coefficients, which respectively represent the influence of the corresponding variables on the prediction results, X1 is the historical water consumption in the same period, which is used to measure the impact of a specific historical period on the current prediction, X2 is the ambient temperature, which represents the impact of air temperature on water use behavior, X3 is the ambient humidity, and its logarithmic form log(X3) is used to highlight the nonlinear characteristics of the impact of humidity on water consumption, X4 is rainfall, and ∈ is the error term, which represents the random variable that the model cannot explain.

[0077] The specific execution process of the formula is as follows:

[0078] Collect and organize the required data sets, including historical water consumption X1, ambient temperature X2, ambient humidity X3, and rainfall X4, and calculate the logarithm of humidity log(X3) and the inverse of rainfall conditions Adjust the sensitivity of the model to these variables so that the model can more accurately capture the impact of humidity and rainfall on water consumption. Use these processed variables to fit the model using the multivariate linear regression method. This includes estimating the regression coefficients β1, β2, β3, and β4, which is usually achieved by minimizing the sum of squares of the prediction errors. After determining the coefficients, substitute them and the corresponding variable values ​​into the formula to predict water consumption in a certain period of time in the future and obtain the water consumption prediction results.

[0079] See also Figure 3 Based on the water consumption forecast results, the start and stop time of the pump room equipment is adjusted, and the water supply pressure during the peak water consumption period is adjusted to match the predicted water consumption. The specific steps to obtain the operation strategy adjustment information are as follows:

[0080] S201: Based on the water consumption prediction result, according to the water consumption prediction information of the differentiated time periods, the start and stop time of the pump room equipment in the differentiated time periods is adjusted to obtain the start and stop adjustment table. The specific process is as follows;

[0081] In sub-step S201, based on the water consumption forecast results obtained, the water demand in different time periods is comprehensively considered, the start and stop time of the pump room equipment is adjusted, the predicted water consumption in each period is analyzed, and the peak and trough of demand are determined. Based on these data, the operation time of the pump room is replanned to adapt to the peak water consumption and save energy. The adjustment process is guided by the following formula: Among them, T onB is the total start-up time of the pump room equipment after adjustment, P iB is the proportion of the predicted water consumption in the i-th period to the total predicted water consumption, t iB The original equipment startup time is used to adjust the equipment to improve energy efficiency and reduce unnecessary operation, and to generate a start-stop adjustment table.

[0082] S202: Based on the start-stop adjustment table, according to the predicted peak water consumption period, the water supply pressure during the peak water consumption period is adjusted to optimize the water supply efficiency, and the process of obtaining the predicted pressure adjustment information is as follows;

[0083] In sub-step S202, based on the generated start-stop adjustment table, the water supply pressure during the peak water consumption period is adjusted to optimize the efficiency of the water supply system. By analyzing the predicted water consumption in different periods, the period that requires pressure increase or pressure reduction is determined. The water supply pressure adjustment adopts the following formula: P adjB =β 1B ·U peakB +

[0084] β 2B ·UoffB , where P adjB is the adjusted water supply pressure, U peakB is the water consumption during peak hours, U offB is the water consumption during off-peak hours, β 1B and β 2B To adjust the coefficient, it reflects the impact of peak and off-peak water demand on water supply pressure respectively. The adjustment helps to achieve higher water resource utilization and reduce energy consumption, and generate predicted pressure adjustment information.

[0085] S203: Based on the predicted pressure adjustment information and the start-stop adjustment table, the operation settings of the pump room equipment are updated, the water supply period and pressure are optimized, and the predicted demand is matched. The specific process of obtaining the operation strategy adjustment information is as follows;

[0086] In sub-step S203, the predicted pressure adjustment information and the start-stop adjustment table are comprehensively updated to fully update the operating parameters of the pump room equipment to match the predicted water demand. The update operation includes adjusting the pump speed, start-stop strategy and pressure setting, and the adjustment is optimized by the following formula: setB =γ 1B ·T adjB +γ 2B ·P adjB , where O setB For the final operation strategy setting, T adjB is the start-stop time after adjustment, P adjB is the adjusted pressure setting, γ 1B and γ 2B The weight coefficients for adjusting the operating parameters are updated to ensure that the pump room equipment achieves optimal operating efficiency and minimum energy consumption while meeting the predicted demand, and to generate operating strategy adjustment information.

[0087] See also Figure 4 Based on the pump operation strategy adjustment information, combined with the real-time electricity pricing information, the operation strategy of the pump room equipment is changed, the operation power consumption and operation time of the pump room equipment during the low electricity price period are adjusted, and the energy consumption cost is optimized. The specific steps for obtaining the cost optimization operation information are as follows:

[0088] S301: Based on the operation strategy adjustment information, analyze the real-time power pricing information, count the power price levels of the differentiated time periods, identify the low power price period, and obtain the low-cost power period table. The specific process is as follows;

[0089] In sub-step S301, based on the updated operation strategy adjustment information, analyze the real-time electricity pricing information in the market. By accessing the electricity market data interface, collect and analyze the changes in electricity prices in different time periods, paying special attention to the difference in peak and valley electricity prices. Use the following formula to determine the low electricity price period: C lowC =

[0090] min t∈T {P tC}, where C lowC represents the lowest electricity price identified, P tC is the electricity price in time period t, T is the total time interval considered, and the analysis helps determine the time period with the lowest electricity cost, thereby generating a low-cost electricity time period table to guide subsequent equipment operation adjustments.

[0091] S302: Based on the low-cost electricity time table, the operation time period of the pump room equipment is adjusted, and the start and stop time of the pump room equipment in the low electricity price period is changed to obtain energy-saving start and stop information. The specific process is as follows;

[0092] In sub-step S302, based on the generated low-cost electricity time table, the operation time of the pump room equipment is precisely adjusted. The start and stop time of the pump room equipment in the low-price period is adjusted to utilize low-cost electricity. The adjustment strategy is optimized by the following formula: adjC =Σ i∈L t iC , where T adjC Represents the total start and stop time of the pump room equipment after adjustment, t iC is the operation time in the low electricity price period i, L represents all low electricity price periods, ensures that the pump room equipment is operated in the period with the lowest electricity price, generates energy-saving start and stop information to reduce operating costs. S303: Based on the energy-saving start and stop information, adjust the operation mode of the pump room equipment, adjust the energy consumption in the high electricity price period, avoid excessive operation in the high electricity price period, optimize the overall operation cost of the pump room, and obtain the cost optimization operation information. The specific process is as follows;

[0093] In sub-step S303, based on the energy-saving start-stop information, the operation mode of the pump room equipment is adjusted to reduce energy consumption during high electricity price periods. The adjustment is guided by the following formula: E optC =α C ·E highC +β C ·

[0094] E lowC , where E optC is the total energy consumption after optimization, E highC and E lowC are the energy consumption during high and low electricity price periods, respectively, C and β C To adjust the coefficient to balance the operating costs during different electricity price periods, the formula helps adjust the equipment operation strategy to avoid excessive operation during periods of high electricity prices, optimize the overall operating cost of the pump room, and generate cost-optimized operation information.

[0095] See also Figure 5, based on cost optimization operation information, collect feedback data on secondary water supply pressure from high-level users, evaluate the deviation between the current pump room water supply pressure and the user's target pressure, identify the required adjustment amount, and adjust the operating parameters of the pump room equipment in real time. The specific steps for obtaining user feedback adjustment information are as follows:

[0096] S401: Based on the cost optimization operation information, collect the feedback data of high-level users on the secondary water supply pressure, analyze the user satisfaction and water supply effect, and obtain the user pressure feedback data in the following process;

[0097] In sub-step S401, based on the cost optimization operation information obtained, secondary water supply pressure feedback data of high-level users is collected. Data is collected through online surveys and direct user interviews to analyze user satisfaction with water supply pressure and water supply effect. The following formula is used to quantify user satisfaction: Among them, S uD represents the user satisfaction index, f iD It represents the satisfaction feedback of the i-th user, n is the total number of surveyed users, and the index reflects the user's overall satisfaction with the current water supply status, helping to determine whether the water supply pressure needs to be further adjusted, thereby obtaining user pressure feedback data.

[0098] S402: Based on the user pressure feedback data, the current pump room water supply pressure is compared with the user demand, and the deviation between the current pump room pressure and the target pressure is analyzed and calculated to identify the pressure increase or decrease value required for adjustment, and the specific process of obtaining the pressure deviation identification result is as follows;

[0099] In sub-step S402, based on the user pressure feedback data, the pump room water supply pressure is compared with the user demand. By calculating the deviation between the current pump room water supply pressure and the user's expected pressure, the required pressure adjustment value is identified. The deviation calculation formula is as follows: ΔP D =P targetD -P currentD , where ΔP D Indicates pressure deviation, P targetD is the target pressure expected by the user, P currentD The actual water supply pressure of the current pump room ensures that the adjustment of the water supply pressure of the pump room can accurately match user needs and generate pressure deviation identification results.

[0100] S403: Based on the pressure deviation identification result, the water supply pressure of the pump room equipment is adjusted immediately, and according to the calculated adjustment amount, the pressure output setting of the pump room equipment is updated to optimize the water supply pressure to match the user's expectations, and the specific process of obtaining the user feedback adjustment information is as follows;

[0101] In sub-step S403, based on the pressure deviation identification result, the water supply pressure of the pump room equipment is adjusted immediately. According to the pressure deviation and the operating parameters of the water supply system, the required pressure adjustment amount is calculated, and the pressure output of the pump room equipment is updated. The adjustment formula is as follows: adjustD =P currentD +k D ΔP D , where P adjustD is the adjusted water supply pressure, P currentD is the current pressure, ΔP D is the detected pressure deviation, k D For the adjustment coefficient, the adjustment ensures that the water supply pressure can flexibly respond to user feedback, optimize the water supply pressure, and match user expectations to generate user feedback adjustment information.

[0102] See also Figure 6 Based on user feedback adjustment information, the operation status of the pump room equipment is monitored in real time through IoT sensors. By comparing the real-time operation data of the equipment, potential equipment failures and performance degradation are identified, and the health status of the pump room equipment is evaluated. The specific steps for obtaining equipment health status information are as follows:

[0103] S501: Based on the user feedback adjustment information, the operation data of the pump room equipment is monitored in real time through the Internet of Things sensor, including the equipment temperature, vibration frequency and operating current parameters. The specific process of obtaining the real-time operation data of the equipment is as follows;

[0104] In sub-step S501, based on user feedback adjustment information, IoT sensors are used to monitor the key operating parameters of the pump room equipment in real time. The monitored parameters include equipment temperature T E , vibration frequency V E , and the operating current I E The IoT sensor automatically sends data to the central monitoring system for real-time data updates. The real-time monitoring formula is as follows: dataE ={T E ,V E ,I E}, where R dataE Represents a collection of real-time operating data of the equipment, ensuring a comprehensive and real-time understanding of the equipment status, so as to promptly discover operating problems and obtain real-time operating data of the equipment.

[0105] S502: Based on the real-time operation data of the equipment, analyze the operation status of the equipment, and identify potential fault signs by comparing the real-time data with the historical data of the normal operation of the equipment, including abnormal temperature rise, vibration increase and abnormal current fluctuation of the equipment, and mark the equipment with faults and performance degradation. The specific process of obtaining the fault identification result is as follows;

[0106] In sub-step S502, based on the collected real-time operation data of the equipment, an in-depth analysis of the equipment operation status is performed. dataE Historical data related to normal operation of the equipment dataE Compare and identify potential fault signs. The fault identification formula is as follows: ΔF E =max(|R dataE -H dataE |), where ΔF E It indicates the maximum deviation from normal operating parameters and is used to mark equipment with abnormal temperature rise, increased vibration frequency and abnormal current fluctuation, and generate fault identification results.

[0107] S503: Based on the fault identification result, by inspecting and testing the marked equipment and combining the historical maintenance records of the equipment, the current health status of the equipment is evaluated to obtain the equipment health status information. Specifically, the process is as follows;

[0108] In sub-step S503, based on the fault identification results, the marked equipment is inspected in detail and necessary tests are performed. Combined with the historical maintenance records of the equipment, the current health status of the equipment is evaluated. The equipment health evaluation formula is as follows: H statusE =norm(ΔF E ,M recordE ), where H statusE is the health status indicator of the equipment, ΔF E is the value by which the equipment deviates from normal operating parameters, M recordE For the historical maintenance records of the equipment, the formula helps determine the overall health of the equipment and generates equipment health status information.

[0109] See also Figure 7 Based on the equipment health status information, evaluate whether the pump room equipment needs maintenance, and adjust the maintenance cycle of the pump room equipment according to the changes in the health status of the pump room equipment to optimize the stable operation of the pump room equipment. The specific steps for obtaining the pump room maintenance optimization information are as follows:

[0110] S601: Based on the equipment health status information, the maintenance requirements of the pump room equipment are evaluated to determine whether there are equipment that needs maintenance and equipment that needs preventive maintenance. The specific process of obtaining the maintenance requirement information is as follows;

[0111] In sub-step S601, based on the equipment health status information, a comprehensive assessment of the maintenance needs of the pump room equipment is performed. The equipment health status indicators are used to determine which equipment requires immediate maintenance and which equipment is suitable for preventive maintenance. The equipment maintenance needs assessment is expressed as follows: V needF =H statusF <H thresholdF Among them, V needFA binary indicator indicating whether maintenance is required (1 for required and 0 for not required), H statusF is the health status indicator of the equipment, H thresholdF The health status threshold is preset. This assessment ensures timely identification of equipment that requires maintenance and generates maintenance requirement information.

[0112] S602: Based on the maintenance demand information, the maintenance cycle is adjusted by analyzing the operating environment and workload of the pump room equipment. The specific process of obtaining the maintenance cycle adjustment information is as follows;

[0113] In sub-step S602, based on the maintenance demand information, combined with the operating environment and workload of the pump room equipment, the maintenance cycle of the equipment is adjusted. The adjustment of the maintenance cycle is based on the following criteria: adjF =

[0114] P currentF ×(1+k loadF ·L currentF +k envF ·E factorF ), where P adjF is the adjusted maintenance cycle, P currentF is the current maintenance cycle, k loadF and k envF is the adjustment factor for load and environmental factors, L currentF is the current workload, E factorF is the environmental impact factor. The formula allows the maintenance cycle of the equipment to be flexibly adjusted according to the actual operating status and generates maintenance cycle adjustment information.

[0115] S603: Based on the maintenance cycle adjustment information and the maintenance demand information, corresponding maintenance measures are implemented, and technicians are arranged to repair the equipment marked as having faults and performance degradation, so as to optimize the stable operation of the pump room equipment. The specific process of obtaining the pump room maintenance optimization information is as follows;

[0116] In sub-step S603, corresponding maintenance measures are implemented based on the maintenance cycle adjustment information and maintenance demand information. Technicians are arranged to perform specific maintenance on the equipment marked as having failures and performance degradation to optimize the stable operation of the pump room equipment. The operating standards used during the maintenance process are as follows: Among them, M execF Represents the execution intensity of maintenance operations, reflecting the ratio of the number of equipment that needs to be repaired to the maintenance frequency in each maintenance cycle. This operation standard ensures that technicians perform effective maintenance based on the actual condition of the equipment and the adjusted maintenance cycle, and generates pump room maintenance optimization information.

[0117] See also Figure 8A secondary water supply smart pump room control system based on the Internet of Things, the secondary water supply smart pump room control system based on the Internet of Things is used to execute the secondary water supply smart pump room control method based on the Internet of Things, the system includes:

[0118] The water consumption forecasting module is based on the historical operation records of the pump room. By analyzing the historical water consumption data and real-time environmental data, it predicts the water demand in the future time period and obtains the water consumption forecast results.

[0119] The strategy adjustment module adjusts the start and stop time and water supply pressure of the pump room equipment based on the water consumption forecast results to match the predicted water demand and obtain the operation strategy adjustment information;

[0120] The energy consumption optimization module optimizes the operating efficiency of pump room equipment during differentiated electricity price periods based on pump operation strategy adjustment information and real-time electricity pricing information to obtain cost-optimized operation information;

[0121] The user feedback adjustment module collects user feedback on water supply pressure based on cost optimization operation information, evaluates the deviation between the current pump room water supply pressure and the user's target pressure, identifies the required adjustment amount, adjusts the operating parameters of the pump room equipment, and obtains user feedback adjustment information;

[0122] The maintenance optimization module adjusts information based on user feedback and uses IoT sensors to monitor the operating status of pump room equipment in real time, evaluate the health status of pump room equipment, determine whether pump room equipment needs maintenance, adjust the maintenance cycle, optimize the stable operation of pump room equipment, and obtain pump room maintenance optimization information.

[0123] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A secondary water supply intelligent pump room control method based on the Internet of Things, characterized in that: The following steps are involved: Based on the historical operation records of the pump room, the water consumption in different time periods is extracted, the impact of ambient temperature on water consumption is analyzed, and the current ambient temperature is monitored in real time through the temperature sensor to predict the water consumption in the future period and obtain the water consumption prediction result; Based on the water consumption prediction result, the start and stop time of the pump room equipment is adjusted, and the water supply pressure during the peak water consumption period is adjusted to match the predicted water consumption, and the operation strategy adjustment information is obtained; Based on the pump operation strategy adjustment information, combined with real-time electricity pricing information, the operating power consumption and operating time of the pump room equipment in the differentiated electricity price period are adjusted to obtain cost-optimized operation information; Based on the cost optimization operation information, collect feedback data on secondary water supply pressure from high-level users, evaluate the deviation between the current pump room water supply pressure and the user's target pressure, adjust the operating parameters of the pump room equipment in real time, and obtain user feedback adjustment information; Based on the user feedback adjustment information, the operating status of the pump room equipment is monitored in real time through the Internet of Things sensor, the health status of the pump room equipment is evaluated, and the equipment health status information is obtained; Based on the equipment health status information, it is evaluated whether the pump room equipment needs maintenance, and the maintenance cycle of the pump room equipment is adjusted to obtain pump room maintenance optimization information.

2. The method for controlling a secondary water supply intelligent pump room based on the Internet of Things according to claim 1 is characterized in that: The water consumption prediction results include water consumption in differentiated time periods and predicted water consumption peaks; the operation strategy adjustment information includes operation time period information, speed adjustment parameters and start-stop control strategies; the cost optimization operation information includes preferred electricity price time periods, energy-saving operation duration and cost-effectiveness information; the user feedback adjustment information includes pressure adjustment information and water supply adjustment information; the equipment health status information includes equipment performance scores and fault warning indicators; the pump room maintenance optimization information includes a maintenance recommendation list, a replacement parts list and operation parameter adjustment information.

3. The secondary water supply intelligent pump room control method based on the Internet of Things according to claim 1 is characterized in that: Based on the historical operation records of the pump room, the water consumption in different time periods is extracted, the impact of ambient temperature on water consumption is analyzed, and the current ambient temperature is monitored in real time through the temperature sensor to predict the water consumption in the future period. The specific steps to obtain the water consumption prediction result are as follows: Based on the historical operation records of the pump room, water consumption data of different dates and time periods are extracted. Through data classification and analysis, water consumption behaviors on working days and non-working days and during morning and evening peak hours are distinguished to obtain time period water consumption data. Based on the water use environment, the temperature sensor is used to detect the ambient temperature in real time and collect real-time weather data, including humidity and rainfall conditions, to obtain environmental impact data; Based on the water consumption data and environmental impact data of the time period, the water consumption trend in the future period is analyzed. Combined with the historical water consumption data for the same period, the water consumption in the future period is predicted using a multivariate linear regression algorithm to obtain a water consumption prediction result.

4. The secondary water supply intelligent pump room control method based on the Internet of Things according to claim 3 is characterized in that: The multivariate linear regression algorithm is based on the formula: Calculate the predicted water consumption, where Y is the predicted water consumption, β0 is the intercept term, β1, β2, β3 and β4 are regression coefficients, X1 is the historical water consumption in the same period, X2 is the ambient temperature, X3 is the ambient humidity, X4 is the rainfall, and ∈ is the error term.

5. The secondary water supply intelligent pump room control method based on the Internet of Things according to claim 1 is characterized in that: Based on the water consumption prediction result, the start and stop time of the pump room equipment is adjusted, and the water supply pressure during the peak water consumption period is adjusted to match the predicted water consumption, and the steps of obtaining the operation strategy adjustment information are specifically as follows: Based on the water consumption prediction result, according to the water consumption prediction information of the differentiated time periods, the start and stop time of the pump room equipment in the differentiated time periods is adjusted to obtain a start and stop adjustment table; Based on the start-stop adjustment table, according to the predicted peak water consumption period, the water supply pressure during the peak water consumption period is adjusted to optimize the water supply efficiency and obtain the predicted pressure adjustment information; Based on the predicted pressure adjustment information and the start-stop adjustment table, the operation settings of the pump room equipment are updated, the water supply period and pressure are optimized, the predicted demand is matched, and the operation strategy adjustment information is obtained.

6. The method for controlling a secondary water supply intelligent pump room based on the Internet of Things according to claim 1 is characterized in that: Based on the pump operation strategy adjustment information, combined with the real-time electricity pricing information, the operation power consumption and operation time of the pump room equipment in the differentiated electricity price period are adjusted to obtain the cost optimization operation information in the following steps: Based on the operation strategy adjustment information, real-time electricity pricing information is analyzed, electricity price levels in differentiated time periods are counted, low electricity price periods are identified, and a low-cost electricity time table is obtained; Based on the low-cost electricity time table, the operation time period of the pump room equipment is adjusted, the start and stop time of the pump room equipment in the low electricity price period is changed, and energy-saving start and stop information is obtained; Based on the energy-saving start and stop information, the operation mode of the pump room equipment is adjusted, the energy consumption during the high electricity price period is adjusted, excessive operation during the high electricity price period is avoided, the overall operation cost of the pump room is optimized, and cost-optimized operation information is obtained.

7. The secondary water supply intelligent pump room control method based on the Internet of Things according to claim 1 is characterized in that: Based on the cost optimization operation information, the feedback data of high-level users on the secondary water supply pressure is collected, the deviation between the current pump room water supply pressure and the user's target pressure is evaluated, and the operation parameters of the pump room equipment are adjusted in real time. The specific steps of obtaining the user feedback adjustment information are as follows: Based on the cost optimization operation information, collect feedback data on secondary water supply pressure from high-level users, analyze user satisfaction and water supply effect, and obtain user pressure feedback data; Based on the user pressure feedback data, the current pump room water supply pressure is compared with the user demand, and the deviation between the current pump room pressure and the target pressure is analyzed and calculated to identify the pressure increase or decrease value required for adjustment, thereby obtaining a pressure deviation identification result; Based on the pressure deviation identification result, the water supply pressure of the pump room equipment is adjusted in real time, and according to the calculated adjustment amount, the pressure output setting of the pump room equipment is updated to optimize the water supply pressure, match the user expectations, and obtain user feedback adjustment information.

8. The secondary water supply intelligent pump room control method based on the Internet of Things according to claim 1 is characterized in that: Based on the user feedback adjustment information, the operation status of the pump room equipment is monitored in real time through the Internet of Things sensor, and the health status of the pump room equipment is evaluated. The steps of obtaining the equipment health status information are specifically as follows: Based on the user feedback adjustment information, the operation data of the pump room equipment is monitored in real time through the Internet of Things sensor, including equipment temperature, vibration frequency and operating current parameters, to obtain the real-time operation data of the equipment; Based on the real-time operation data of the equipment, analyze the operation status of the equipment, and identify potential fault signs, including abnormal temperature rise, increased vibration, and abnormal current fluctuation of the equipment, by comparing the real-time data with the historical data of the normal operation of the equipment, and mark the equipment with faults and performance degradation to obtain fault identification results; Based on the fault identification result, the marked equipment is inspected and tested, and the current health status of the equipment is evaluated in combination with the historical maintenance record of the equipment to obtain equipment health status information.

9. The secondary water supply intelligent pump room control method based on the Internet of Things according to claim 1 is characterized in that: Based on the equipment health status information, the steps of evaluating whether the pump room equipment needs maintenance, adjusting the maintenance cycle of the pump room equipment, and obtaining the pump room maintenance optimization information are as follows: Based on the equipment health status information, the maintenance requirements of the pump room equipment are evaluated to determine whether there are any equipment that needs maintenance and equipment that needs preventive maintenance, and to obtain maintenance requirement information; Based on the maintenance demand information, by analyzing the operating environment and workload of the pump room equipment, the maintenance cycle is adjusted to obtain maintenance cycle adjustment information; Based on the maintenance cycle adjustment information and maintenance requirement information, corresponding maintenance measures are implemented, and technicians are arranged to repair equipment marked as having faults and performance degradation, so as to optimize the stable operation of the pump room equipment and obtain pump room maintenance optimization information.

10. A secondary water supply intelligent pump room management and control system based on the Internet of Things, characterized in that: According to the method for controlling a secondary water supply smart pump room based on the Internet of Things according to any one of claims 1 to 9, the system comprises: The water consumption forecasting module is based on the historical operation records of the pump room. By analyzing the historical water consumption data and real-time environmental data, it predicts the water demand in the future time period and obtains the water consumption forecast results. The strategy adjustment module adjusts the start and stop time and water supply pressure of the pump room equipment based on the water consumption prediction result to match the predicted water demand and obtain operation strategy adjustment information; The energy consumption optimization module optimizes the operation efficiency of the pump room equipment in the differentiated electricity price period based on the pump operation strategy adjustment information and combines the real-time electricity pricing information to obtain cost-optimized operation information; The user feedback adjustment module collects user feedback on water supply pressure based on the cost optimization operation information, evaluates the deviation between the current pump room water supply pressure and the user's target pressure, identifies the required adjustment amount, adjusts the operating parameters of the pump room equipment, and obtains user feedback adjustment information; The maintenance optimization module adjusts the information based on the user feedback, monitors the operating status of the pump room equipment in real time through the Internet of Things sensors, evaluates the health status of the pump room equipment, determines whether the pump room equipment needs maintenance, adjusts the maintenance cycle, and obtains pump room maintenance optimization information.

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