Water-saving intelligent monitoring system

Abstract

The present invention discloses a water-saving intelligent monitoring system, which relates to the field of water-saving intelligent monitoring technology, including: a data collection module, a data preparation module, a management and analysis module, and an optimization control module. The present invention has multiple advantages. First, it dynamically calculates the water use benchmark value based on multiple factors, comprehensively considers factors such as personnel activities and weather, and accurately fits the water demand of different scenarios and time periods of the school, providing a reliable basis for evaluating real-time water use. Second, when calculating the water use deviation index, it introduces the energy consumption fluctuation factor of water-using equipment, accurately quantifies the fluctuation, makes abnormal monitoring more sensitive and accurate, and detects problems in a timely manner. Third, it can evaluate the water-saving risk index, analyze water-using equipment from multiple dimensions, and formulate targeted strategies and plans for the school to achieve efficient use of water resources and effective control of water use risks.

Description

Technical Field

[0001] The present invention relates to the technical field of water-saving intelligent monitoring, and in particular to a water-saving intelligent monitoring system. Background Art

[0002] In today's society, the rational use and protection of water resources has become a global focus. As a densely populated public place, schools consume a large amount of water and use it in various scenarios. Their water-saving management is of great significance to the sustainable development of water resources.

[0003] The school's water use covers multiple areas, including teaching areas, living areas, and office areas. The water demand in different areas may be affected by many factors. For example, the water use in the teaching area is closely related to the course schedule and the number of students, while the water use in the living area is affected by factors such as students' daily routines and seasonal changes. Traditional water-saving methods may rely more on manual inspections and experience-based judgments, which are not only inefficient but also difficult to fully and accurately grasp the water use situation.

[0004] With the development of science and technology, intelligent technology has gradually been applied to various fields, and the field of water conservation is no exception. Intelligent monitoring systems can collect data in real time and provide richer information support for water conservation management.

[0005] When analyzing a school's water usage benchmark, existing smart water-saving monitoring systems may rely on historical average water consumption and simply consider some common factors, such as the impact of seasonal changes. However, school water use is diverse and is affected by personnel activities, such as when the school holds large-scale events, and by meteorological conditions. The combined effects of temperature, humidity, and air pressure may affect the analysis of water usage benchmarks. Existing systems may fail to fully consider these factors, resulting in a large deviation between water usage benchmarks and the school's actual water demand, and may not provide an accurate reference for subsequent water use assessments.

[0006] Moreover, when analyzing the real-time water usage deviation of a school, the existing monitoring system may focus mainly on the difference between the actual water consumption and the set benchmark value, while ignoring the impact of fluctuations in the energy consumption of water-using equipment on water consumption. Changes in the energy consumption of water-using equipment often reflect changes in the operating status of the equipment, such as equipment aging and failure, which may lead to abnormal water consumption. Failure to consider the impact of fluctuations in the energy consumption of water-using equipment on the real-time water usage deviation may lead to loopholes in the system's monitoring of water anomalies, making it difficult to detect potential water waste or equipment failures in a timely manner.

[0007] In terms of assessing schools' water-saving potential and water use risks, existing technologies may consider them from a single dimension or a few dimensions, such as focusing on equipment leakage or based on water consumption trends. However, schools have a large number of water-using equipment, and their water-saving potential and risks are affected by multiple factors such as the degree of equipment aging, leakage, maintenance history, and operating status. The existing system may lack multi-dimensional comprehensive assessments, making it impossible for schools to accurately grasp their own water-saving potential and water use risks, and thus it may be difficult to formulate targeted and scientifically reasonable water-saving strategies and equipment maintenance plans. Summary of the Invention

[0008] The purpose of the present invention is to provide a water-saving intelligent monitoring system to solve the problems raised in the above background technology.

[0009] To achieve the above objectives, the present invention provides the following water-saving intelligent monitoring system, comprising:

[0010] Data collection module and data preparation module: The data collection module is used to collect school personnel activity data, school meteorological data, school water consumption data, and water equipment data, and input the collected data into the data preparation module. The data preparation module performs data cleaning based on the input data to remove outliers and noise data in the data, and then inputs the data processed by the data preparation module into the management and analysis module;

[0011] Management Analysis Module: Analyzes the basic value of school water use based on school water consumption data, and calculates the basic value of school water use in combination with school personnel activity data, school meteorological data, and water equipment data. It uses school personnel activity data to analyze the relationship and impact of the frequency of personnel activities on water demand, and uses school meteorological data to analyze the correlation between temperature, humidity, and air pressure on water consumption, in order to output a comprehensive water use benchmark value.

[0012] Based on comprehensive water use benchmarks and school water consumption data, the system manages real-time fluctuations in school water use. Furthermore, it combines water equipment data to analyze the impact of fluctuations in water equipment energy consumption on school water use deviations, thereby outputting a water use deviation index.

[0013] Based on the water use deviation index and combined with water equipment data, a comprehensive assessment of the school's water conservation potential and water use risk is conducted. The water equipment data is used to analyze the impact of the risk status of water equipment on water conservation potential and water use risk, and a comprehensive risk index is output;

[0014] Optimization control module: The comprehensive water use benchmark value, water use deviation index and risk comprehensive index are input into the optimization control module, and the optimization control module takes water-saving and preventive measures based on the input data.

[0015] Optionally, the management and analysis module includes: a water use benchmark submodule, a deviation analysis submodule, and a water saving potential and risk submodule.

[0016] Optionally, the data collection module collects school personnel activity data by using the school's access control system and attendance equipment in classrooms and public areas to count and collect the number of times people enter and exit the school and the length of time they stay in each area, so as to output influencing factors of personnel activity factors;

[0017] And based on the school's activity management system and the school's schedule records, the school's special activities are obtained to output the impact factors of special events;

[0018] The school's meteorological data is collected by installing temperature sensors, humidity sensors, and air pressure sensors at different locations in the school to collect temperature, humidity, and air pressure data in real time. These data are then averaged to output the influencing factors of meteorological factors.

[0019] The collection of school water consumption data is done by installing flow sensors on the water pipes in each water-using area of ​​the school to monitor the actual water consumption in real time, and output the real-time monitored actual water consumption and the historical average water consumption of the i-th water-using area;

[0020] The collection of water equipment data is to install intelligent monitoring equipment on the school's water equipment to monitor the operating status of the water equipment, the service life of the water equipment, the leakage of the water equipment and the maintenance records of the water equipment, and output the influencing factors of the water equipment.

[0021] Optionally, the water use benchmark submodule obtains the water consumption of different water use areas of the school, and uses the historical average water consumption of the i-th water use area as the basis of the water use benchmark submodule, and then combines the influencing factors of personnel activity factors, the influencing factors of special events, the influencing factors of meteorological factors and the influencing factors of water use equipment to comprehensively calculate the influencing factors of the i-th influencing factors, and finally outputs the comprehensive water use benchmark value. The comprehensive water use benchmark value can accurately determine the water use benchmark value that meets the current actual situation of the school.

[0022] Optionally, the deviation analysis submodule combines the comprehensive water use benchmark value with the actual water use monitored in real time to reflect the relative deviation ratio of the actual water use monitored in real time to the comprehensive water use benchmark value, and outputs a water use deviation index through integrated analysis of the relative fluctuation degree of water use and the relative fluctuation degree of energy consumption of water-using equipment. The water use deviation index is used to analyze whether the current water use of the school exceeds a reasonable range, and corresponding water-saving warnings, water-wasting behavior supervision and water leakage inspections in corresponding areas of the school are carried out.

[0023] Optionally, the water-saving potential and risk submodule introduces the water use deviation index in the form of an absolute value, and based on the water-using equipment data, comprehensively evaluates and outputs the risk score of the d-th water-using equipment through the degree of equipment aging, water leakage and operating status, and combines the risk score of the d-th water-using equipment with the maintenance record of the water-using equipment in the water-using equipment data to output a comprehensive risk index, and ranks various areas of the school based on the comprehensive risk index, and focuses on monitoring and improving risk areas.

[0024] Optionally, the influence factor WCSD of the i-th influencing factor in the water use benchmark submodule i Specifically:

[0025] The influencing factor of personnel activity factors is WCSD1;

[0026]

[0027] in:

[0028] LA refers to the total amount of personnel activities in the school during the current statistical period, and LB refers to the average amount of personnel activities in the school over the past period;

[0029] Influencing factors of meteorological factors;

[0030]

[0031] in:

[0032] NA refers to the influence weight of temperature, NAA refers to the current average temperature, NAB refers to the reference suitable temperature, NB refers to the influence weight of humidity, NBA refers to the current average humidity, NBB refers to the reference suitable humidity, NC refers to the influence weight of air pressure, NCA refers to the current average air pressure, and NCB refers to the reference suitable air pressure;

[0033] The impact factor of special events is WCSD3;

[0034] The value is assigned based on whether the school has special activities on that day. If there are special activities, the WCSD3 value is 0.5, and if there are no special activities, the WCSD3 value is 0;

[0035] The influencing factor of water-using equipment WCSD4;

[0036]

[0037] in:

[0038] Q refers to the total number of water-using equipment in the school, d refers to the index of water-using equipment, P1 d Refers to the service life of the dth water-using equipment, P2 dRefers to the maximum reasonable service life of the dth water-using equipment.

[0039] Optionally, the risk score INPA of the d-th water-using equipment in the water-saving potential and risk submodule is specifically:

[0040] INPA d =N1×UA+N2×UB+N3×UC;

[0041] in:

[0042] UA refers to the equipment aging value, UB refers to the water leakage value, UC refers to the operating status value, N1, N2 and N3 refer to the weight coefficients of equipment aging, water leakage and operating status respectively;

[0043] The aging value of the equipment UA is measured based on the ratio of the service life of the equipment to the maximum reasonable service life of the equipment;

[0044] The leakage value UB is evaluated by detecting the leakage frequency and leakage amount of the equipment;

[0045] The operating status value UC is determined by real-time monitoring of the flow stability and pressure stability of the equipment.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] 1. The present invention outputs a comprehensive water use benchmark value through a water use benchmark submodule. This water use benchmark submodule integrates multiple factors such as personnel activities, weather, special events and water use equipment information, and can accurately calculate the water use benchmark values ​​of the school in different time periods and areas. This comprehensive calculation method makes the benchmark value more in line with the school's actual water use situation, can accurately reflect the real water demand, and can provide a scientific and reasonable reference standard for the school's water management. The school can formulate water use plans and budgets based on the comprehensive water use benchmark value, reasonably allocate water resources, and thereby enhance the pertinence and adaptability of water management.

[0048] 2. The present invention outputs the water use deviation index through the deviation analysis submodule. This submodule compares the actual water consumption with the dynamic water use benchmark value calculated by the water use benchmark submodule, and takes into account the fluctuation of water use and the energy consumption fluctuation of water-using equipment. When the water use fluctuation is large, it may indicate irregular water use behavior or hidden dangers of water leakage. Abnormal fluctuation of equipment energy consumption may indicate poor equipment operation status. By calculating the water use deviation index in real time, abnormal water use can be discovered in time, which makes it easier for management personnel to quickly troubleshoot problems and avoid waste of water resources and unnecessary losses.

[0049] 3. The present invention outputs a comprehensive risk index through the water-saving potential and risk sub-module. This sub-module combines the water use deviation index and the risk situation of water-using equipment, and considers the impact of equipment maintenance frequency on the risk score to more intuitively and comprehensively reflect the overall water use situation of the school. It can also rank the various areas of the school according to the comprehensive risk index. Managers can give priority to monitoring and improving areas with high indexes. This sub-module provides a clear direction for school water-saving management and improves management efficiency and effectiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a schematic diagram of the method steps of the water-saving intelligent monitoring system;

[0051] Figure 2 This is the overall structural diagram of the water-saving intelligent monitoring system;

[0052] Figure 3 This is a structural diagram of the management and analysis module in the water-saving intelligent monitoring system. DETAILED DESCRIPTION

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0054] When analyzing a school's water usage benchmark, existing water-saving intelligent monitoring systems may only rely on historical average water consumption and simply consider some common factors, such as seasonal changes. However, school water use is unique and is affected by human activities, such as large-scale events held at the school, and meteorological conditions, such as temperature, humidity, and air pressure, which affect the water usage habits of teachers and students. The existing system may fail to fully consider these factors, resulting in a large deviation between the water usage benchmark and the school's actual water demand, and cannot provide an accurate reference for subsequent water use assessments.

[0055] When analyzing the real-time water usage deviation of a school, the existing monitoring system may focus mainly on the difference between the actual water consumption and the set benchmark value, ignoring the impact of energy consumption fluctuations of water-using equipment on water consumption. Changes in energy consumption of water-using equipment often reflect changes in the operating status of the equipment, such as equipment aging, failure, etc., which may lead to abnormal water consumption. Failure to consider the impact of energy consumption fluctuations of water-using equipment on real-time water usage deviation may cause loopholes in the system's monitoring of water use anomalies, making it difficult to timely detect potential water waste or equipment failure problems. In terms of assessing the school's water-saving potential and water use risks, existing technologies may only consider a single dimension or a few dimensions, such as focusing on equipment leakage or based on water consumption trends.

[0056] However, schools have numerous water-using equipment, and their water-saving potential and risks are affected by multiple factors, including the degree of equipment aging, water leakage, maintenance history, and operating status. The lack of multi-dimensional comprehensive assessment makes it impossible for schools to accurately grasp their own water-saving potential and water use risks, and it is difficult to formulate targeted, scientifically reasonable water-saving strategies and equipment maintenance plans.

[0057] This water-saving intelligent monitoring system is based on the calculation of multi-factor dynamic water use benchmark values, and comprehensively considers multiple factors such as personnel activities, weather, special events, the age of water-using equipment, and water use policies. It can, to a certain extent, accurately calculate the benchmark values ​​that meet the actual water needs of the school in different scenarios and at different times, providing a reliable basis for the subsequent accurate assessment of real-time water use conditions.

[0058] The calculation of the water use deviation index of this system not only takes into account the deviation between the actual water consumption and the water use benchmark value, but also introduces the energy consumption fluctuation factor of water-using equipment. By accurately quantifying the fluctuation of water use and equipment energy consumption, the real-time water use deviation can be calculated comprehensively and accurately. This makes the system more sensitive and accurate in monitoring water use anomalies, and can promptly detect potential water waste and equipment failures.

[0059] This system can evaluate the water-saving risk index and conduct a comprehensive risk analysis of water-using equipment from multiple dimensions, including the real-time water use deviation and the degree of aging, leakage, maintenance history, and operating status of water-using equipment. This provides an accurate basis for schools to formulate targeted water-saving strategies and equipment maintenance plans. Based on this, schools can adopt differentiated management measures for different areas and different water-using equipment, thereby achieving efficient use of water resources and effective control of water use risks.

[0060] See also Figures 1 to 3 , this implementation provides a water-saving intelligent monitoring system, including:

[0061] Data collection module and data preparation module: The data collection module is used to collect school personnel activity data, school meteorological data, school water consumption data, and water equipment data, and input the collected data into the data preparation module. The data preparation module performs data cleaning based on the input data to remove outliers and noise data in the data, and then inputs the data processed by the data preparation module into the management and analysis module;

[0062] Management Analysis Module: Analyzes the basic value of school water use based on school water consumption data, and calculates the basic value of school water use in combination with school personnel activity data, school meteorological data, and water equipment data. It uses school personnel activity data to analyze the relationship and impact of the frequency of personnel activities on water demand, and uses school meteorological data to analyze the correlation between temperature, humidity, and air pressure on water consumption, in order to output a comprehensive water use benchmark value.

[0063] Based on comprehensive water use benchmarks and school water consumption data, the system manages real-time fluctuations in school water use. Furthermore, it combines water equipment data to analyze the impact of fluctuations in water equipment energy consumption on school water use deviations, thereby outputting a water use deviation index.

[0064] Based on the water use deviation index and combined with water equipment data, a comprehensive assessment of the school's water conservation potential and water use risk is conducted. The water equipment data is used to analyze the impact of the risk status of water equipment on water conservation potential and water use risk, and output a comprehensive risk index.

[0065] Optimization control module: The comprehensive water use benchmark value, water use deviation index and risk comprehensive index are input into the optimization control module, and the optimization control module takes water-saving and preventive measures based on the input data;

[0066] The management and analysis module includes: water use benchmark sub-module, deviation analysis sub-module and water saving potential and risk sub-module.

[0067] In this embodiment: the three groups of formulas of the present invention are interrelated and progressive, forming a complete school water-saving intelligent monitoring system. The water use benchmark submodule determines a reasonable water use benchmark value, providing a basis for subsequent analysis; the deviation analysis submodule promptly detects water use anomalies by comparing actual water use with the benchmark value, and the water-saving potential and risk submodule comprehensively considers water use anomalies and equipment risks, and evaluates water-saving potential and water use risks. Such a combination can comprehensively and accurately monitor the school's water use situation, analyze water use problems from multiple angles, and provide a systematic solution for the school's water-saving management. This combination method is highly systematic and comprehensive. It not only takes into account a variety of factors affecting water use, but also organically combines water use monitoring, anomaly detection and risk assessment. Compared with the existing technology, it can more comprehensively and deeply understand the school's water use situation, avoiding the limitations of a single indicator or simple method. At the same time, through the calculation of the comprehensive index, it can provide school managers with a clear and intuitive decision-making basis, facilitate the formulation of scientific and reasonable water-saving measures and equipment maintenance plans, and improve the efficiency and effectiveness of water-saving management.

[0068] See also Figures 1 to 3 ,The collection of school personnel activity data in the data collection module ,is done by using the school’s access control system and the ,attendance equipment in classrooms and public areas to count and collect the ,number of people entering and exiting the school and the length of time they ,stay in each area, so as to output the influencing factors of ,personnel activity factors;

[0069] And based on the school's activity management system and the school's schedule records, the school's special activities are obtained to output the impact factors of special events;

[0070] The school's meteorological data is collected by installing temperature sensors, humidity sensors, and air pressure sensors at different locations in the school to collect temperature, humidity, and air pressure data in real time. These data are then averaged to output the influencing factors of meteorological factors.

[0071] The collection of school water consumption data is done by installing flow sensors on the water pipes in each water-using area of ​​the school to monitor the actual water consumption in real time, and output the real-time monitored actual water consumption and the historical average water consumption of the i-th water-using area;

[0072] The collection of water equipment data is to install intelligent monitoring equipment on the school's water equipment to monitor the operating status of the water equipment, the service life of the water equipment, the leakage of the water equipment and the maintenance records of the water equipment, and output the influencing factors of the water equipment.

[0073] In this embodiment: a data collection module is used to efficiently collect various water-related data in the school in real time based on a variety of collection and sensing devices, so as to accurately and comprehensively collect school personnel activity data, school meteorological data, school water consumption data and water equipment data, and then analyze the school's current water use and water conservation situation and level from multiple angles, which has excellent creativity and practicality.

[0074] See also Figures 1 to 3 , the water use benchmark submodule processing process is as follows:

[0075]

[0076] in:

[0077] WCS refers to the comprehensive water use benchmark;

[0078] n refers to the total number of water-using areas, such as classrooms, cafeterias, dormitories, etc.;

[0079] i refers to the index of the water-using area;

[0080] WCSA i Refers to the historical average water consumption of the i-th water-using area, the unit is L, which can be calculated by long-term monitoring of the water consumption data of the area;

[0081] WCSB i Refers to the weight coefficient of the i-th water use area, which is determined according to the proportion of the area in the total water use of the school;

[0082] m refers to the total number of factors affecting baseline water use;

[0083] j refers to the index of factors affecting baseline water use;

[0084] WCSC i Refers to the weight coefficient of the i-th influencing factor;

[0085] WCSD i Refers to the impact factor of the i-th influencing factor;

[0086] The influencing factor WCSD of the i-th influencing factor in the water use benchmark submodule i Specifically:

[0087] The influencing factor of human activity is WCSD1. The more frequent the human activities, the greater the water demand may be.

[0088]

[0089] in:

[0090] LA refers to the total amount of personnel activities in the school during the current statistical period. It can be calculated comprehensively through statistics such as the number of people entering and exiting the school and the duration of activities in the school through access control systems and attendance records. LB refers to the average amount of personnel activities in the school over the past period of time.

[0091] Meteorological factors influence factor WCSD2. When the temperature is high and the humidity is low, water demand usually increases. Changes in air pressure also affect water use to a certain extent. For example, low air pressure may make people feel stuffy and increase water consumption for washing.

[0092]

[0093] in:

[0094] NA refers to the influence weight of temperature, which can be set to 0.6; NAA refers to the current average temperature, NAB refers to the reference suitable temperature, NB refers to the influence weight of humidity, which can be set to 0.3; NBA refers to the current average humidity, NBB refers to the reference suitable humidity, NC refers to the influence weight of air pressure, which can be set to 0.1; NCA refers to the current average air pressure, and NCB refers to the reference suitable air pressure;

[0095] The impact factor of special events WCSD3: special events often lead to additional water demand;

[0096] The value is assigned based on whether the school has any special events on that day, such as sports meetings, large-scale meetings, etc. If there are special events, the WCSD3 value is 0.5, and if there are no special events, the WCSD3 value is 0;

[0097] The influencing factor of water-using equipment is WCSD4. The newer the water-using equipment, the higher the water-using efficiency may be, and the smaller the impact on the water-using benchmark value;

[0098]

[0099] in:

[0100] Q refers to the total number of water-using equipment in the school, d refers to the index of water-using equipment, P1 d Refers to the service life of the dth water-using equipment, P2 d Refers to the maximum reasonable service life of the dth water-using equipment;

[0101] Refers to the comprehensive basic water demand of each water use area of ​​the school without considering other dynamic factors. Different water use areas have different importance in the overall water use of the school. The weight coefficient WCSB of the i-th water use area is used to calculate the water use demand of the school. i Make adjustments to make the calculation of basic water demand more consistent with actual conditions;

[0102] The 1 in the table represents the basic situation when these influencing factors are not considered. When it is a positive number, it means that these factors will increase the water base value, and when it is a negative number, it means that the water base value will decrease;

[0103] The water use benchmark submodule obtains the water consumption of different water use areas of the school, and uses the historical average water consumption of the i-th water use area as the basis of the water use benchmark submodule. Then, the influencing factors of the i-th influencing factors are comprehensively calculated by combining the influencing factors of personnel activities, special events, meteorological factors and water use equipment, and finally output the comprehensive water use benchmark value. The comprehensive water use benchmark value can accurately determine the water use benchmark value that meets the current actual situation of the school.

[0104] In this embodiment, a larger WCS value indicates that the school's normal water demand is higher under the combined influence of factors such as current personnel activities, weather, and special events. A smaller WCS value indicates that the school's water demand is lower.

[0105] In actual school scenarios, water demand is affected by a combination of factors. This module can calculate a reasonable water usage baseline for different time periods and areas of the school by considering factors such as personnel activities, weather, special events, the age of water-using equipment, etc. For example, when holding sports games in the summer, personnel activities increase and temperatures rise, and this module will increase the water usage baseline accordingly.

[0106] Existing technologies may only consider a single or a few factors to determine the water use benchmark, such as relying solely on historical average water consumption or simple seasonal adjustments. This submodule, however, integrates more factors closely related to the school's actual situation, especially the age of water-using equipment. The age of water-using equipment directly affects water use efficiency, and new equipment is generally more water-efficient. This reflects the school's proactive intervention measures in water use. Incorporating these factors into the calculation makes the benchmark value more in line with actual conditions, more accurately reflecting the school's actual water needs, and more targeted and adaptable.

[0107] Based on the calculated WCS for different areas and time periods, the school can formulate corresponding water use plans and budgets. For example, for areas and time periods with higher WCS, water resources can be allocated rationally; for areas and time periods with lower WCS, water supply pressure can be appropriately reduced or equipment maintenance can be performed.

[0108] The calculation of the comprehensive water use benchmark value (WCS) provides a scientific and reasonable reference standard for school water management, helping school administrators understand normal water demand under different conditions and thus better plan and allocate water resources.

[0109] See also Figures 1 to 3 ,The processing process of the deviation analysis submodule is as follows:

[0110]

[0111] in:

[0112] DQW refers to the water use deviation index, which is used to measure the degree of deviation of actual water use from the multi-factor dynamic water use benchmark;

[0113] DA refers to the weight factor of water consumption DQWA in the calculation of water use deviation index;

[0114] DQWA refers to the actual water consumption monitored in real time, in L, which can be obtained through the flow sensor installed on the water pipe;

[0115] DB refers to the water consumption fluctuation impact coefficient, with an initial value of 0.2, which is used to adjust the impact of actual water consumption fluctuations on the deviation degree;

[0116] DQWB refers to the difference between the actual water consumption in the current time period and the previous time period, in L, reflecting the real-time fluctuation of water consumption;

[0117] DQWE refers to the average value of actual water consumption over a period of time;

[0118] DC refers to the energy consumption fluctuation coefficient of water-using equipment, which is 0.1;

[0119] DQWC refers to the difference in energy consumption of water-using equipment between the current time period and the previous time period, in kWh, reflecting the real-time fluctuation of energy consumption of water-using equipment;

[0120] DQWD refers to the average energy consumption of water-using equipment over a period of time. Abnormal fluctuations in energy consumption of water-using equipment may indicate changes in the operating status of the equipment, which in turn affects water consumption.

[0121] Refers to the relative deviation ratio of actual water consumption from the benchmark value. DQWA-WCS represents the difference between actual water consumption and the benchmark value. Dividing this difference by WCS directly reflects the degree of deviation between actual water consumption and the reasonable water consumption benchmark. It is a basic indicator for measuring whether water use is reasonable.

[0122] Indicates the weighted impact of water use fluctuation on deviation, Refers to the relative degree of fluctuation in water use. Large fluctuations in water use may indicate irregular water use behavior or potential water leakage, and the deviation needs to be adjusted;

[0123] Indicates the relative fluctuation of energy consumption of water-using equipment. Indicates the weighted impact of equipment energy consumption fluctuations on the deviation. Abnormal equipment energy consumption fluctuations may mean that the equipment operating status has changed, which in turn affects water consumption, so the deviation also needs to be adjusted;

[0124] The 1 in the figure represents the basic deviation without considering the fluctuation of water consumption and equipment energy consumption;

[0125] The deviation analysis submodule combines the comprehensive water use benchmark value with the actual water use monitored in real time to reflect the relative deviation ratio of the actual water use monitored in real time to the comprehensive water use benchmark value, and outputs the water use deviation index through the integrated analysis of the relative fluctuation degree of water use and the relative fluctuation degree of energy consumption of water-using equipment. The water use deviation index is used to analyze whether the current water use of the school exceeds the reasonable range, and corresponding water-saving warnings, water-wasting behavior supervision and water leakage inspections in the corresponding areas of the school are carried out.

[0126] In this embodiment, when the water use deviation index DQW is positive and large, it indicates that the actual water use exceeds the reasonable range. The system automatically issues an alarm, and the management personnel inspect the corresponding area to check whether there is water leakage, equipment failure, or water waste by personnel. If it is an equipment problem, timely repair or replacement is arranged; if it is a problem with personnel water use habits, publicity and education are strengthened. When the water use deviation index DQW is negative and the absolute value is large, it indicates that the actual water use is below the reasonable range. Analysis is conducted to determine whether the reasons are damage to water equipment and improper use or reduced personnel activities, so as to ensure that water demand is met.

[0127] A positive value for the water use deviation index DQW indicates that the real-time monitored actual water use DQWA is greater than the comprehensive water use benchmark WCS, indicating that current water use exceeds the reasonable range and may involve water waste, water leakage, or equipment failure. A larger value for the water use deviation index DQW indicates that the actual water use deviates more from the benchmark value and the more serious the water use anomaly. A negative value for the water use deviation index DQW indicates that the real-time monitored actual water use DQWA is less than the comprehensive water use benchmark WCS, indicating that current water use is below the reasonable range, which may be due to reduced human activity or improved water equipment utilization efficiency.

[0128] This submodule compares actual water consumption with the dynamic water use benchmark value calculated by the water use benchmark submodule, and takes into account the impact of water use fluctuations and fluctuations in the energy consumption of water-using equipment. In practical applications, it can promptly detect abnormal water use in the school. For example, if the actual water consumption in a certain area of ​​the school suddenly exceeds the benchmark value on a certain day, and the water use fluctuations and equipment energy consumption fluctuations are also large, this may indicate water leakage, equipment failure, or personnel wasting water. By calculating the water use deviation index in real time, the system can quickly issue an alarm to remind management personnel to conduct inspections and take measures, which helps to promptly detect and solve water use problems and avoid waste of water resources.

[0129] Traditional technologies may simply compare actual water usage with fixed water usage standards, without considering the dynamic changes in water usage and the impact of equipment energy consumption. This submodule introduces two parameters: water usage fluctuation and equipment energy consumption fluctuation. This can more comprehensively reflect the actual water usage situation. Large water usage fluctuations may indicate irregular water use behavior or potential water leakage; abnormal equipment energy consumption fluctuations may indicate poor equipment operation status, which in turn affects water usage. This comprehensive consideration makes the judgment of water usage anomalies more accurate and timely.

[0130] When the water usage deviation index exceeds the set threshold, the system automatically issues an alarm, allowing management personnel to immediately inspect the corresponding area to check for leaks, equipment failures, or water waste. If the problem is equipment, timely repair or replacement can be arranged; if the problem is with personnel water use habits, publicity and education can be strengthened.

[0131] The calculation of the water use deviation index DQW can timely detect abnormal water use, provide a basis for quickly solving water use problems, and avoid waste of water resources and unnecessary losses.

[0132] See also Figures 1 to 3 , the processing process of the water saving potential and risk submodule is as follows:

[0133]

[0134] in:

[0135] INP refers to the comprehensive risk index. A larger value indicates a greater water-saving potential or a higher water use risk such as leakage.

[0136] IA refers to the water use deviation weight, which can be set to 0.6;

[0137] |DQW| refers to the absolute value of the deviation index of water use. The larger the deviation, the more unreasonable the water use situation, which may indicate room for water conservation or water leakage risks.

[0138] INPA dRefers to the risk score of the d-th water-using equipment, and its value range is [0,1];

[0139] INPA d =N1×UA+N2×UB+N3×UC;

[0140] in:

[0141] UA refers to the equipment aging value, which is measured based on the ratio of the equipment's service life to the maximum reasonable service life of the equipment.

[0142] Equipment aging degree value UA = service life of the dth water-using equipment P1 d ÷The maximum reasonable service life of the dth water-using equipment P2 d ;

[0143] UB refers to the leakage value, which is assessed by detecting the leakage frequency and leakage amount of the equipment;

[0144] Leakage value UB = (number of leaks of the dth water-using equipment within a certain period of time × average leakage volume per time) ÷ (reference number of leaks × reference leakage volume);

[0145] When the water leakage value UB>1, it means that the water leakage of the equipment exceeds the reference standard. When the water leakage value UB=0, it means that there is no water leakage in the equipment.

[0146] UC refers to the operating status value, which is determined by real-time monitoring of the flow stability and pressure stability of the equipment;

[0147] The operating status value UC = (1-U). Assume that the deviation rate between the actual operating index of the water-using device d and the standard operating index is U. The operating status value ranges from [0, 1]. The closer the value is to 1, the better the equipment operating status. For example, if the standard flow rate of a water-using device is 10 liters / minute and the actual flow rate fluctuates between 9 and 11 liters / minute, the deviation rate = 0.1, and the operating status value = 0.9;

[0148] N1, N2, and N3 refer to the weight coefficients of equipment aging, water leakage, and operating status, respectively;

[0149] α refers to the equipment maintenance frequency influence coefficient, which can be set to 0.1;

[0150] INPB d Refers to the number of recent repairs of the dth water-using equipment;

[0151] INPC refers to the average number of recent repairs for all water-using equipment;

[0152] Equipment that requires frequent maintenance may be more prone to problems such as leaks, increasing water use risks;

[0153] IA×|DQW| refers to the weighted contribution of the water use deviation index to the comprehensive risk index. The larger the water use deviation index, the more unreasonable the water use situation is, and there may be greater water saving potential or water use risk.

[0154] Refers to the relative situation of the number of maintenance times of the equipment compared to the average level. Indicates the weighted impact of equipment maintenance frequency on equipment risk. Equipment with a high maintenance frequency may be more likely to have problems such as water leakage;

[0155] The water-saving potential and risk submodule introduces the water use deviation index in the form of an absolute value, and based on the water-using equipment data, comprehensively evaluates the equipment aging, leakage and operating status to output the risk score of the d-th water-using equipment. The risk score of the d-th water-using equipment is combined with the maintenance record of the water-using equipment in the water-using equipment data to output a comprehensive risk index. Based on the comprehensive risk index, the various areas of the school are ranked, and the risk areas are monitored and improved in a key manner.

[0156] In this embodiment, the various areas of the school are ranked based on the comprehensive risk index (INP). Areas with higher indexes are monitored and improved. For areas with high water-saving potential, measures such as installing water-saving equipment (such as water-saving faucets and toilets) and optimizing water use processes (such as adjusting water use times and controlling water flow) are taken. For areas with high water risk, equipment maintenance and inspection are strengthened, aging equipment is replaced in a timely manner, and a regular equipment maintenance plan is formulated.

[0157] The larger the INP value of the comprehensive risk index, the greater the water-saving potential or the higher the water use risk in the school area. This may be due to a large deviation in water use or a high risk of equipment, which requires special attention and the adoption of corresponding water-saving or maintenance measures. This submodule combines the water use deviation index and the risk of water-using equipment to calculate a comprehensive index. In school water-saving management, this index can help managers quickly assess the water-saving potential and water use risk of each area or the entire school. For example, for areas with a high comprehensive index of water-saving potential and risk, it means that the area either has a large space for water saving or a high risk of water use such as leakage. Managers can sort different areas according to this index, give priority to monitoring and improving areas with high indexes, formulate targeted water-saving strategies and equipment maintenance plans, and improve the efficiency of water-saving management.

[0158] Existing technologies may assess water conservation potential and water use risk separately, without integrating the two. This submodule combines the water use deviation index and equipment risk score into a unified index that can more intuitively reflect the overall water use situation in schools. It also considers the impact of equipment maintenance frequency on the risk score, making the assessment of equipment risk more accurate and comprehensive, and providing a more powerful decision-making basis for school water conservation management.

[0159] This module ranks each area of ​​the school based on a comprehensive index of water-saving potential and risk, focusing on monitoring and improving areas with higher indexes. For areas with high water-saving potential, measures such as installing water-saving equipment and optimizing water use processes can be taken; for areas with high water risk, equipment maintenance and inspections are strengthened, and aging equipment is replaced in a timely manner.

[0160] The calculation of the comprehensive risk index INP provides a clear focus and direction for the school's water conservation management, helping school administrators to formulate targeted water conservation strategies and equipment maintenance plans, thereby improving the efficiency and effectiveness of water conservation management.

[0161] It is worth noting that the water use fluctuation impact coefficient DB in the deviation analysis submodule is affected by the comprehensive risk index INP, and then the water use deviation index DQW is adjusted and optimized through the water use fluctuation impact coefficient DB. The calculation process is as follows:

[0162] First: DB new =DB old +DS×(INP-INPS);

[0163] Second: Set the iteration termination condition:

[0164] Termination condition 1: The number of iterations is 100;

[0165] Termination condition 2: |INP new -INP old |<0.001;

[0166] in:

[0167] DB new Refers to the updated water use fluctuation impact coefficient;

[0168] DB old Refers to the water use fluctuation impact coefficient before the update;

[0169] INP new Refers to the updated risk composite index;

[0170] INP old Refers to the comprehensive risk index before the update;

[0171] DS refers to the adjustment step size, which is used to control the adjustment amplitude of DB at each iteration. It can be set according to the actual situation and can be set to 0.01;

[0172] INPS refers to the target value of the comprehensive risk index, which can be set according to the school's water conservation goals and historical data. The INPS can be set to 0.3.

[0173] In this embodiment, by iteratively adjusting DB, the degree of influence of water use fluctuations on the water use deviation index DQW can be dynamically adjusted according to the comprehensive risk index INP in different time periods. When INP is large, it indicates that the school has a large water saving potential or water use risk. In this case, increasing DB increases the weight of water use fluctuations in the calculation of DQW, which can more sensitively capture water use anomalies. When INP is small, it indicates that the water use situation is relatively stable, and DB is appropriately reduced to avoid excessive attention to water use fluctuations.

[0174] The iterative process enables the system to adaptively adjust parameters based on actual water usage, thereby more accurately evaluating the water usage deviation index (DQW). Accurate DQW calculation can detect water usage anomalies more promptly, providing a more reliable basis for school water conservation management.

[0175] The calculation results of the water-saving potential and risk submodule are iteratively fed back to the deviation analysis submodule, forming a closed-loop feedback system among the three submodules. The water-saving potential and risk submodule comprehensively assesses water-saving potential and water use risk, while the deviation analysis submodule calculates the deviation index of water use. Linking the two makes the entire monitoring system more intelligent and dynamic.

[0176] The iterative process continuously adjusts the water use fluctuation impact coefficient DB in the deviation analysis submodule to make the parameter setting more reasonable. This optimization can improve the accuracy of the calculation results of the deviation analysis submodule and the water saving potential and risk submodule, thereby improving the performance of the entire water saving monitoring system.

[0177] The iterative approach enables the system to automatically adjust parameters based on actual water usage, achieving intelligent adaptive monitoring. School water usage is dynamic, and water usage patterns may change with different seasons and school activities. By iteratively adjusting parameters, the system can better adapt to these changes and improve the effectiveness of water-saving monitoring.

[0178] Accurate water use deviation calculation and comprehensive index assessment provide a more reliable basis for schools' water conservation decisions. Based on the adjusted parameters and calculation results, schools can take targeted water conservation measures, such as conducting key inspections of areas with large water use fluctuations and promptly repairing high-risk equipment, thereby achieving more precise water conservation management.

[0179] The comprehensive risk index (INP) of the water-saving potential and risk submodule comprehensively considers the water use deviation (DQW) and the risk of water-using equipment. The water use fluctuation impact coefficient (DB) in the calculation of the water use deviation index (DQW) of the deviation analysis submodule will affect the value of DQW. Water use fluctuation is closely related to water-saving potential and water use risk. When water use fluctuation is large, it may mean that there is a leak, equipment failure, or personnel wasting water, thereby increasing water-saving potential and water use risk. Therefore, adjusting DB through INP can make the system pay more attention to the impact of water use fluctuation on water saving and risk. This correlation enables the system to adjust its sensitivity to water use fluctuation according to the overall water-saving potential and risk situation. In periods of high water-saving potential or high risk, the weight of water use fluctuation is increased to detect water use anomalies more promptly; when the water use situation is stable, the weight of water use fluctuation is reduced to avoid unnecessary interference. This dynamic adjustment improves the flexibility and accuracy of the system and helps to better achieve the school's water-saving goals.

[0180] In the specific implementation process, the various submodules in this method are used to form a water-saving intelligent monitoring system. The water use benchmark submodule is based on the historical average water consumption WCSA of the i-th water use area. i and the impact factor WCSD of the i-th influencing factor i , outputs the comprehensive water use benchmark value WCS. This water use benchmark submodule integrates multiple factors such as personnel activities, weather, special events, and water equipment information. It can accurately calculate the water use benchmark value of the school in different time periods and areas. This comprehensive calculation method makes the benchmark value more in line with the actual water use situation of the school, accurately reflects the real water demand, and provides a scientific and reasonable reference standard for school water management. Schools can formulate water use plans and budgets based on the comprehensive water use benchmark value WCS, reasonably allocate water resources, and enhance the pertinence and adaptability of water management;

[0181] The deviation analysis submodule outputs the water use deviation index DQW based on the comprehensive water use benchmark value WCS, the actual water use DQWA monitored in real time, the water use fluctuation impact coefficient DB, the difference DQWB between the actual water use in the current time period and the previous time period, and the difference DQWC between the energy consumption of water-using equipment in the current time period and the previous time period. This deviation analysis submodule compares the actual water use with the dynamic water use benchmark value calculated by the water use benchmark submodule, while taking into account water use fluctuations and energy consumption fluctuations of water-using equipment. Large water use fluctuations may indicate irregular water use behavior or potential water leakage risks, and abnormal equipment energy consumption fluctuations may indicate poor equipment operation. By calculating the water use deviation index DQW in real time, abnormal water use can be discovered in a timely manner, helping managers to quickly troubleshoot problems and avoid water waste and unnecessary losses.

[0182] The water saving potential and risk submodule is based on the water use deviation index DQW and the risk score INPA of the d-th water-using equipment.d and the number of recent repairs of the d-th water-using equipment INPB d , output the comprehensive risk index INP. This submodule combines the water use deviation index and the risk situation of water-using equipment to calculate the comprehensive risk index INP. At the same time, it considers the impact of equipment maintenance frequency on the risk score, and more intuitively and comprehensively reflects the overall water use situation of the school. The various areas of the school can be ranked according to the comprehensive risk index INP. Managers can give priority to monitoring and improving areas with high indexes. For areas with great water-saving potential, measures such as installing water-saving equipment and optimizing water use processes can be taken; for areas with high water use risks, equipment maintenance and inspections are strengthened. This submodule provides a clear direction for school water-saving management and improves management efficiency and effectiveness.

[0183] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. Water-saving intelligent monitoring system, characterized by: include: Data collection module and data preparation module: The data collection module is used to collect school personnel activity data, school meteorological data, school water consumption data, and water equipment data, and input the collected data into the data preparation module. The data preparation module performs data cleaning based on the input data to remove outliers and noise data in the data, and then inputs the data processed by the data preparation module into the management and analysis module; Management analysis module, including water use benchmark submodule, deviation analysis submodule and water saving potential and risk submodule; The water use benchmark submodule obtains the water consumption of different water use areas of the school, and uses the historical average water consumption of the i-th water use area as the basis of the water use benchmark submodule, and then calculates the comprehensive water use benchmark value by combining the influencing factors of personnel activities, the influencing factors of special events, the influencing factors of meteorological factors and the influencing factors of water use equipment. The comprehensive water use benchmark value can accurately determine the water use benchmark value that meets the current actual situation of the school; the larger the comprehensive water use benchmark value, the higher the normal water demand of the school, and the smaller the comprehensive water use benchmark value, the lower the normal water demand of the school; the collection of water use equipment data is to install intelligent monitoring equipment on the school's water use equipment to monitor the operating status of the water use equipment, the service life of the water use equipment, the water leakage of the water use equipment and the maintenance record of the water use equipment; The impact factor of the water-using equipment is calculated based on the service life of the water-using equipment and the maximum reasonable service life of the water-using equipment; special events include: sports games, large conferences; The deviation analysis submodule combines the comprehensive water use benchmark value with the actual water use monitored in real time to reflect the relative deviation ratio of the actual water use monitored in real time to the comprehensive water use benchmark value, and integrates and analyzes the relative deviation ratio with the real-time fluctuation of water use and the real-time fluctuation of energy consumption of water-using equipment to calculate the water use deviation index. The water use deviation index is used to analyze whether the current school's water use exceeds a reasonable range, and corresponding water-saving warnings, water-wasting behavior supervision and water leakage inspections in corresponding areas of the school are carried out; the real-time fluctuation of water use is the difference between the actual water use in the current time period and the previous time period, and the real-time fluctuation of energy consumption of water-using equipment is the difference between the energy consumption of water-using equipment in the current time period and the previous time period; when calculating the water use deviation index, a water use fluctuation influence coefficient is set for the real-time fluctuation of water use; The water-saving potential and risk submodule introduces the water use deviation index into the risk comprehensive index calculation formula in the form of an absolute value, comprehensively evaluates and outputs the risk score of the d-th water-using equipment based on the water-using equipment data through the degree of equipment aging, water leakage and operating status, combines the absolute value of the water use deviation index with the risk scores of all water-using equipment and the maintenance records of the water-using equipment in all water-using equipment data to output a risk comprehensive index, ranks the various areas of the school based on the risk comprehensive index, and focuses on monitoring and improving the risk areas; the larger the risk comprehensive index value, the greater the water-saving potential or the higher the water use risk of the school area; Based on the comprehensive risk index, the water use fluctuation influence coefficient in the deviation analysis submodule is iteratively updated, and then the water use deviation index is adjusted and optimized through the water use fluctuation influence coefficient. By iteratively updating the water use fluctuation influence coefficient, the degree of influence of water use fluctuation on the water use deviation index can be dynamically adjusted according to the comprehensive risk index in different time periods. When the comprehensive risk index is large, it means that the school has a large water-saving potential or water use risk. At this time, the water use fluctuation influence coefficient is increased, so that the weight of water use fluctuation in calculating the water use deviation index is increased, and abnormal water use can be captured more sensitively. When the comprehensive risk index is small, it means that the water use situation is relatively stable, and the water use fluctuation influence coefficient is reduced to avoid excessive attention to water use fluctuations. Optimization control module: The comprehensive water use benchmark value, water use deviation index and risk comprehensive index are input into the optimization control module, and the optimization control module takes water-saving and preventive measures based on the input data.

2. The water-saving intelligent monitoring system according to claim 1, characterized in that: The data collection module collects school personnel activity data by using the school's access control system and attendance equipment in classrooms and public areas to count and collect the number of people entering and leaving the school and the length of time they stay in each area, in order to output the influencing factors of personnel activity factors; And based on the school's activity management system and the school's schedule records, the school's special activities are obtained to output the impact factors of special events; The school's meteorological data is collected by installing temperature sensors, humidity sensors, and air pressure sensors at different locations in the school to collect temperature, humidity, and air pressure data in real time. These data are then averaged to output the influencing factors of meteorological factors. The collection of school water consumption data is achieved by installing flow sensors on the water pipes in each water use area of ​​the school to monitor the actual water consumption in real time, and output the real-time monitored actual water consumption and the historical average water consumption of the i-th water use area.

3. The water-saving intelligent monitoring system according to claim 1, characterized in that: The influence factor WCSD of the i-th influencing factor in the water use benchmark submodule i Specifically: The influencing factor of personnel activity factors is WCSD1; LA refers to the total number of school personnel activities during the current statistical period, and LB refers to the average number of school personnel activities over the past period. The impact factor of special events is WCSD3; The value is assigned based on whether the school has any special activities on that day. If there are special activities, the WCSD3 value is 0.5, and if there are no special activities, the WCSD3 value is 0.

4. The water-saving intelligent monitoring system according to claim 1, characterized in that: The risk score INPA of the d-th water-using equipment in the water-saving potential and risk submodule is specifically: INPA d =N1×UA+N2×UB+N3×UC; in: UA refers to the equipment aging value, UB refers to the water leakage value, UC refers to the operating status value, N1, N2 and N3 refer to the weight coefficients of equipment aging, water leakage and operating status respectively; The aging value of the equipment UA is measured based on the ratio of the service life of the equipment to the maximum reasonable service life of the equipment; The leakage value UB is evaluated by detecting the leakage frequency and leakage amount of the equipment; The operating status value UC is determined by real-time monitoring of the flow stability and pressure stability of the equipment.

Images