Water-saving intelligent monitoring system

Abstract

The invention, which relates to the technical field of water-saving intelligent monitoring, discloses a water-saving intelligent monitoring system comprising a data collection module, a data preparation module, a management analysis module and an optimization control module. Compared with the prior art, the method has the multiple advantages that firstly, the water consumption reference value is dynamically calculated based on multiple factors, personnel activity, weather and other factors are integrated, water consumption requirements of different scenes and time periods of a school are precisely met, a reliable basis is provided for evaluating real-time water consumption, and secondly, when the water consumption deviation index is calculated, a water consumption equipment energy consumption fluctuation factor is introduced, fluctuation is precisely quantified, and the water consumption deviation index is calculated. And thirdly, a water-saving risk index can be evaluated, water utilization equipment can be analyzed from multiple dimensions, targeted strategies and plans are formulated for schools, and efficient utilization of water resources and effective control of water utilization risks are realized.

Description

Technical Field

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

[0002] In today's society, the rational utilization and protection of water resources have become the focus of global attention. As a public place with a large number of people, schools have a large water consumption and diverse water usage scenarios. Their water-saving management is of great significance for the sustainable development of water resources.

[0003] The water usage in schools covers multiple areas such as teaching areas, living areas, and office areas. The water usage requirements in different areas may be affected by various factors. For example, the water usage in teaching areas is closely related to course arrangements and the number of students, while the water usage in living areas is affected by factors such as students' daily schedules and seasonal changes. Traditional water-saving methods may rely more on manual inspections and experience judgments, which are not only inefficient but also difficult to comprehensively and accurately grasp the water usage situation.

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

[0005] Currently, when analyzing the baseline value of water usage in schools, existing water-saving intelligent monitoring systems may mostly rely on historical average water consumption and simply consider some common factors, such as the influence of seasonal changes. However, the water usage in schools is diverse, and the water consumption is affected by human activities. For example, when large-scale activities are held in schools, and under the influence of meteorological conditions, such as temperature, humidity, and air pressure, the combined action of various complex factors may affect the analysis of the water usage baseline value. Existing systems may not comprehensively consider these factors, resulting in a large deviation between the water usage baseline value and the actual water usage requirements of schools, and may not be able to provide accurate reference for subsequent water usage evaluations; Moreover, when analyzing the deviation degree of real-time water usage in schools, existing monitoring systems may mainly focus on the difference between the actual water consumption and the set baseline 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 state of the equipment, such as equipment aging and faults, which may all lead to abnormal water consumption. Without considering the impact of fluctuations in the energy consumption of water-using equipment on the deviation degree of real-time water usage, it may cause loopholes in the monitoring of abnormal water usage by the system, making it difficult to timely detect potential water waste or equipment failure problems; In evaluating the water-saving potential and water use risks of schools, existing technologies may consider from a single dimension or a few dimensions, such as focusing on equipment leakage or based on the trend of water consumption. However, schools have many water-using devices, and their water-saving potential and risks are jointly affected by multiple factors such as equipment aging degree, leakage situation, maintenance history, and operating status. Existing systems may lack multi-dimensional comprehensive evaluation, making schools unable to accurately grasp their own water-saving potential and water use risks, and thus may be difficult to formulate targeted and scientific water-saving strategies and equipment maintenance plans. Summary of the Invention

[0006] 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.

[0007] To achieve the above purpose, the present invention provides the following water-saving intelligent monitoring system, including: 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-using 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, and then inputs the data processed by the data preparation module into the management and analysis module; Management and analysis module: Analyze the basic value of school water use based on the school water consumption data, and comprehensively calculate the basic value of school water use in combination with school personnel activity data, school meteorological data, and water-using equipment data. Analyze the relationship and influence of the frequency of personnel activities on water demand through school personnel activity data, and analyze the relevance of temperature, humidity, and air pressure to water consumption through school meteorological data to output a comprehensive water use benchmark value; Manage the real-time fluctuation of school water use based on the comprehensive water use benchmark value and school water consumption data, and analyze the impact of the fluctuation of water-using equipment energy consumption on the deviation degree of school water use in combination with water-using equipment data to output a deviation degree index of water use; Comprehensively evaluate the water-saving potential and water use risks of schools based on the deviation degree index of water use and in combination with water-using equipment data. Analyze the impact of the risk situation of water-using equipment on the water-saving potential and water use risks through water-using equipment data to output a comprehensive risk index; Optimization control module: Input the comprehensive water use benchmark value, the deviation degree index of water use, and the comprehensive risk index into the optimization control module, and the optimization control module performs water-saving and preventive measures based on the input data.

[0008] Optionally, the management and analysis module includes: a water use benchmark sub-module, a deviation analysis sub-module, and a water-saving potential and risk sub-module.

[0009] Optionally, the collection of school personnel activity data in the data collection module is to count and collect the number of times personnel enter and leave the school and their stay time in each area through the school access control system and attendance devices in classrooms and public areas, so as to output the influence factors of personnel activity factors; And based on the school activity management system and the school schedule record to obtain the special activity situation of the school, so as to output the influence factors of special events; The collection of school meteorological data is to install temperature sensors, humidity sensors and barometric pressure sensors at different locations in the school to collect temperature, humidity and barometric pressure data in real time, and average these data to output the influence factors of meteorological factors; The collection of school water consumption data is to install flow sensors on the water pipes in each water use area of the school to monitor the actual water consumption in real time, so as to output the actually monitored actual water consumption and the historical average water consumption of the i-th water use area; The collection of water use equipment data is to install intelligent monitoring equipment on the water use equipment in the school to monitor the operation status, service life, water leakage situation and maintenance situation record of the water use equipment, and output the influence factors of the water use equipment.

[0010] Optionally, the water use benchmark sub-module obtains the water consumption of different water use areas in the school, takes the historical average water consumption of the i-th water use area as the basis of the water use benchmark sub-module, and then combines the influence factors of personnel activity factors, special event influence factors, meteorological factor influence factors and water use equipment influence factors to comprehensively calculate the influence factors of the i-th influence factor, so as to finally output the comprehensive water use benchmark value, and the comprehensive water use benchmark value can accurately determine the water use benchmark value that conforms to the actual situation of the current school.

[0011] Optionally, the deviation analysis sub-module combines the comprehensive water use benchmark value with the actually monitored actual water consumption to reflect the relative deviation ratio of the actually monitored actual water consumption relative to the comprehensive water use benchmark value, and through the integrated analysis of the relative fluctuation degree of water use and the relative fluctuation degree of water use equipment energy consumption, to output the deviation index of water use, and analyze whether the current school's water use exceeds the reasonable range through the deviation index of water use, and correspondingly carry out water conservation warnings, waste water behavior supervision and water leakage inspection in the corresponding areas of the school.

[0012] Optionally, the water-saving potential and risk sub-module introduces the deviation index of water use in the form of an absolute value, and comprehensively evaluates and outputs the risk score of the d-th water use device based on the water use equipment data through the degree of equipment aging, leakage situation and operating status. The risk score of the d-th water use device is combined with the maintenance record of the water use device in the water use equipment data to output a comprehensive risk index, and each area of the school is ranked based on the comprehensive risk index, and key monitoring and improvement are carried out on the risk areas.

[0013] Optionally, the influence factor WCSD of the i-th influencing factor in the water use benchmark sub-module i Specifically: The influence factor WCSD of the personnel activity factor 1 ; ; Among them: 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 a past period of time; The influence factor of meteorological factors; ; Among them: 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; The influence factor WCSD of special events 3 ; It is assigned according to whether there is a special activity in the school on the same day. When there is a special activity, WCSD 3 takes the value of 0.5, and when there is no special activity, WCSD 3 takes the value of 0; The influence factor WCSD of water use equipment 4 ; ; Among them: Q refers to the total number of water use equipment in the school, d refers to the index of the water use equipment, and P1 d refers to the service life of the d-th water use equipment, and P2 d refers to the maximum reasonable service life of the d-th water use equipment.

[0014] Optionally, the risk score INPA of the d-th water use device in the water-saving potential and risk sub-module is specifically: INPA d = N1×UA + N2×UB + N3×UC; Wherein: UA refers to the equipment aging degree value, UB refers to the water leakage situation value, UC refers to the operation status value, and N1, N2, and N3 respectively refer to the weight coefficients of equipment aging, water leakage situation, and operation status; The equipment aging degree value UA is measured according to the ratio of the service life of the equipment to the maximum reasonable service life of the equipment; The water leakage situation value UB is evaluated by detecting the water leakage frequency and water leakage volume of the equipment; The operation status value UC is determined by real-time monitoring of the flow stability and pressure stability of the equipment.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: First, the present invention outputs a comprehensive water use benchmark value through the water use benchmark sub-module. This water use benchmark sub-module synthesizes various factors such as personnel activities, meteorology, special events, and water use equipment information, and can accurately calculate the water use benchmark values for different time periods and regions in the school. This comprehensive calculation method makes the benchmark value more in line with the actual water use situation in the school, can accurately reflect the real water use demand, and can provide a scientific and reasonable reference standard for school water use management. The school can formulate water use plans and budgets based on the comprehensive water use benchmark value, rationally allocate water resources, and thus enhance the pertinence and adaptability of water use management.

[0016] Second, the present invention outputs the deviation degree index of water use through the deviation analysis sub-module. This sub-module compares the actual water use volume with the dynamic water use benchmark value calculated by the water use benchmark sub-module, and at the same time considers the water use fluctuation and the energy consumption fluctuation of water use equipment. When the water use fluctuation is large, it may imply irregular water use behavior or water leakage hidden danger, and abnormal energy consumption fluctuation of the equipment may indicate poor equipment operation status. By calculating the deviation degree index of water use in real time, water use anomalies can be detected in a timely manner, which is convenient for managers to quickly troubleshoot problems, avoiding water resource waste and unnecessary losses.

[0017] Third, the present invention outputs a comprehensive risk index through the water saving potential and risk sub-module. This sub-module combines the deviation degree index of water use and the risk situation of water use equipment, and at the same time considers the influence of equipment maintenance frequency on risk scoring, so as to more intuitively and comprehensively reflect the overall water use situation in the school, and can rank each region in the school according to the comprehensive risk index. Managers can give priority to key monitoring and improvement of regions with high indexes. This sub-module provides a clear direction for school water saving management, improving management efficiency and effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the method steps of this water saving intelligent monitoring system; Figure 2 It is a schematic diagram of the overall structure of this water saving intelligent monitoring system; Figure 3 It is a schematic structural diagram of the management and analysis module in the water-saving intelligent monitoring system. Specific implementation manners

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0020] When analyzing the water consumption benchmark value of a school in the existing water-saving intelligent monitoring system, it may only rely on the historical average water consumption and simply consider some common factors, such as seasonal changes. However, school water consumption has its uniqueness. The water consumption is affected by personnel activities, such as large-scale activities held in the school, and meteorological conditions, such as temperature, humidity, air pressure, etc. The combined action of various complex factors such as the water use habits of teachers and students. The existing system may not comprehensively consider these factors, resulting in a large deviation between the water consumption benchmark value and the actual water demand of the school, and unable to provide an accurate reference for subsequent water use evaluation.

[0021] When analyzing the real-time water consumption deviation degree of a school in the existing monitoring system, it may mainly focus on the difference between the actual water consumption and the set benchmark value, ignoring the impact of the energy consumption fluctuation of water use equipment on the water consumption. The change of the energy consumption of water use equipment often reflects the change of the equipment operation state, such as equipment aging, faults, etc. These may all lead to abnormal water consumption. Without considering the impact of the energy consumption fluctuation of water use equipment on the real-time water consumption deviation degree, it may cause loopholes in the system's monitoring of water use anomalies, making it difficult to timely discover potential water waste or equipment failure problems. And in terms of evaluating the water-saving potential and water use risk of the school, the existing technology may only consider from a single dimension or a few dimensions, such as paying attention to the equipment leakage situation or based on the change trend of water consumption.

[0022] However, there are many water use equipment in schools. Its water-saving potential and risk are jointly affected by multiple factors such as the aging degree of equipment, leakage situation, maintenance history, and operation state. Lack of multi-dimensional comprehensive evaluation makes schools unable to accurately grasp their own water-saving potential and water use risk, and it is difficult to formulate targeted, scientific and reasonable water-saving strategies and equipment maintenance plans.

[0023] And this water-saving intelligent monitoring system is based on the calculation of a multi-factor dynamic water consumption benchmark value, comprehensively considering various factors such as personnel activities, meteorology, special events, the newness and oldness of water use equipment, and water use policies. Furthermore, to a certain extent, it can accurately calculate the benchmark value that meets the actual water demand of different scenarios and different time periods in the school, providing a reliable basis for accurately evaluating the real-time water use situation subsequently.

[0024] The calculation of the deviation index of the water consumption of this system not only considers the deviation between the actual water consumption and the water consumption benchmark value, but also introduces the factor of the energy consumption fluctuation of water-using equipment. By accurately quantifying the water consumption fluctuation and the equipment energy consumption fluctuation, it can comprehensively and accurately calculate the real-time water consumption deviation, which makes the system more sensitive and accurate in monitoring water consumption anomalies, and can timely detect potential problems such as water waste and equipment failures.

[0025] This system can evaluate the risk index of water conservation, conduct a comprehensive risk analysis of water-using equipment from multiple dimensions such as real-time water consumption deviation, combined with the aging degree, leakage situation, maintenance history and operation status of water-using equipment, so as to provide accurate basis for the school to formulate targeted water conservation strategies and equipment maintenance plans. The school can take differential management measures for different regions and different water-using equipment accordingly, so as to achieve the efficient utilization of water resources and the effective control of water use risks.

[0026] Please refer to Figures 1 to 3 , this implementation provides a water conservation intelligent monitoring system, including: 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-using 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 analysis module; Management analysis module: Analyze the basic value of school water consumption based on the school water consumption data, and comprehensively calculate the basic value of school water consumption in combination with school personnel activity data, school meteorological data and water-using equipment data. Analyze the relationship and influence of the frequency of personnel activities on water demand through school personnel activity data, and analyze the correlation between temperature, humidity and air pressure and water consumption through school meteorological data to output the comprehensive water consumption benchmark value; Manage the real-time fluctuation situation of school water consumption based on the comprehensive water consumption benchmark value and school water consumption data, and analyze the influence of the fluctuation of the energy consumption of water-using equipment on the deviation of school water consumption in combination with water-using equipment data to output the deviation index of water consumption; Comprehensively evaluate the water conservation potential and water use risks of the school based on the deviation index of water consumption and in combination with water-using equipment data, and analyze the influence of the risk situation of water-using equipment on the water conservation potential and water use risks through water-using equipment data to output the comprehensive risk index; Optimization control module: Input the comprehensive water consumption benchmark value, the deviation index of water consumption and the comprehensive risk index into the optimization control module, and the optimization control module takes water conservation and prevention measures based on the input data; The management analysis module includes: a water consumption benchmark sub-module, a deviation analysis sub-module and a water conservation potential and risk sub-module.

[0027] In this embodiment: The three groups of formulas of the present invention are interrelated and progressive, forming a complete intelligent monitoring system for school water conservation. The water use benchmark sub-module determines a reasonable water use benchmark value, providing a basis for subsequent analysis; the deviation analysis sub-module discovers water use anomalies in a timely manner by comparing the actual water use and the benchmark value. The water conservation potential and risk sub-module comprehensively considers water use anomalies and equipment risks to evaluate the water conservation potential and water use risks. Such a combination can comprehensively and accurately monitor the water use situation in schools, analyze water use problems from multiple perspectives, and provide a systematic solution for school water conservation management. This combination method has strong systematicness and comprehensiveness. It not only considers various factors affecting water use but also organically combines the monitoring of water use situations, the discovery of anomalies, and the risk assessment. Compared with the prior art, it can understand the water use situation in schools more comprehensively and deeply, avoiding the limitations of single indicators or simple methods. At the same time, through the calculation of comprehensive indexes, it can provide clear and intuitive decision-making basis for school managers, facilitating the formulation of scientific and reasonable water conservation measures and equipment maintenance plans, and improving the efficiency and effect of water conservation management.

[0028] Please refer to Figures 1 to 3 , for the collection of school personnel activity data in the data collection module, the access control system of the school and the attendance devices in classrooms and public areas are used to count and collect the number of times people enter and leave the school and their staying time in each area, so as 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 special activity situation of the school is obtained to output the influencing factors of special events; For the collection of school meteorological data, temperature sensors, humidity sensors, and barometric pressure sensors installed at different locations in the school are used to collect temperature, humidity, and barometric pressure data in real time, and these data are averaged to output the influencing factors of meteorological factors; For the collection of school water use data, flow sensors are installed on the water pipes in each water use area of the school to monitor the actual water use in real time, so as to output the actually monitored water use and the historical average water use of the i-th water use area; For the collection of water use equipment data, intelligent monitoring equipment is installed on the water use equipment in the school to monitor the operating status of the water use equipment, the service life of the water use equipment, the water leakage situation of the water use equipment, and the maintenance situation records of the water use equipment, and output the influencing factors of the water use equipment.

[0029] In this embodiment: The data collection module efficiently and real-time collects various water-related data in the school 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-using equipment data, and then analyze the current water use and water conservation situation and level in the school from multiple perspectives, which has excellent creativity and practicality.

[0030] Please refer to Figures 1 to 3 , and the processing process of the water use benchmark sub-module is as follows: ; Among them: WCS refers to the comprehensive water use benchmark value; n refers to the total number of water use areas, such as classrooms, canteens, dormitories, etc.; i refers to the index of the water use area; WCSA i refers to the historical average water consumption of the i-th water use area, with the unit of L, which can be calculated by long-term monitoring of the water consumption data of this area; WCSB i refers to the weight coefficient of the i-th water use area, which is determined according to the proportion of this area in the total water use of the school; m refers to the total number of benchmark water use influencing factors; j refers to the index of the benchmark water use influencing factor; WCSC i refers to the weight coefficient of the i-th influencing factor; WCSD i refers to the influence factor of the i-th influencing factor; The influence factor WCSD of the i-th influencing factor in the water use benchmark sub-module i Specifically: The influence factor WCSD of the personnel activity factor 1 , the more frequent the personnel activity, the greater the water use demand may be; ; Among them: LA refers to the total amount of personnel activities in the school during the current statistical period, which can be comprehensively calculated by counting the number of personnel in and out, activity duration in the school, etc. through the access control system, attendance records, etc. LB refers to the average amount of personnel activities in the school over a past period of time; The influence factor WCSD of the meteorological factor 2 , when the temperature is high and the humidity is low, the water use demand usually increases, and the change in air pressure will also affect water use to a certain extent. For example, when the air pressure is low, it may make people feel stuffy and increase the washing water use; ; Among them: 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, NCB refers to the reference suitable air pressure; Influence factor WCSD of special events 3 , special activities often lead to additional water demand; It is assigned a value according to whether there are special activities in the school on the same day, such as sports meetings, large conferences, etc. When there are special activities, WCSD 3 takes the value of 0.5, and when there are no special activities, WCSD 3 takes the value of 0; Influence factor WCSD of water-using equipment 4 , the newer the water-using equipment, the higher the water-using efficiency may be, and the smaller the impact on the water-using baseline value; ; Among them: Q refers to the total number of water-using equipment in the school, d refers to the index of the water-using equipment, P1 d refers to the service life of the d-th water-using equipment, P2 d refers to the maximum reasonable service life of the d-th water-using equipment; refers to the comprehensive basic water demand of each water-using area in the school without considering other dynamic factors. Different water-using areas have different importance in the overall water use of the school, and are adjusted through the weight coefficient WCSB of the i-th water-using area i to make the calculation of the basic water demand more in line with the actual situation; The 1 in represents the basic situation without considering these influencing factors. When is a positive number, it means that these factors will increase the water-using baseline value, and when it is a negative number, it means that it will decrease the water-using baseline value; The water-using baseline sub-module obtains the water consumption of different water-using areas in the school. Based on the historical average water consumption of the i-th water-using area as the basis of the water-using baseline sub-module, and then combines the influence factors of personnel activity factors, special event factors, meteorological factors and water-using equipment factors to comprehensively calculate the influence factor of the i-th influencing factor, so as to finally output the comprehensive water-using baseline value. Through the comprehensive water-using baseline value, the water-using baseline value that conforms to the actual situation of the current school can be accurately determined.

[0031] In this embodiment: The larger the comprehensive water consumption benchmark value WCS is, it indicates that under the comprehensive influence of current factors such as personnel activities, meteorology, and special events, the normal water consumption demand of the school is higher. The smaller the value of the comprehensive water consumption benchmark value WCS, the lower the water consumption demand. In the actual school scenario, the water consumption demand is comprehensively affected by various factors. This sub-module can calculate a reasonable water consumption benchmark value for different time periods and regions of the school by considering multiple factors such as personnel activities, meteorology, special events, the newness and oldness of water-using equipment, etc. For example, when holding a sports meeting in summer, with the increase in personnel activities and the rise in temperature, this sub-module will correspondingly increase the water consumption benchmark value according to these factors. The prior art may only consider one or a few factors to determine the water consumption benchmark, such as only relying on historical average water consumption or simple seasonal adjustment. However, this sub-module comprehensively considers more factors closely related to the actual situation of the school, especially introducing the newness and oldness of water-using equipment and other factors. The newness and oldness of water-using equipment will directly affect water use efficiency, and new equipment is usually more water-saving; this reflects the school's measures to actively intervene in water use. Incorporating these factors into the calculation makes the benchmark value more in line with the actual situation and can more accurately reflect the school's real water consumption demand, with stronger pertinence and adaptability. Based on the calculated comprehensive water consumption benchmark value WCS for different regions and time periods of the school, the school can formulate corresponding water use plans and budgets. For example, for regions and time periods with a higher water consumption benchmark value, reasonably arrange the allocation of water resources; for regions and time periods with a lower water consumption benchmark value, appropriately reduce the water supply pressure or conduct equipment maintenance. The calculation of the comprehensive water consumption benchmark value WCS provides a scientific and reasonable reference standard for the school's water use management, helping school managers understand the normal water consumption demand under different conditions, so as to better plan and allocate water resources.

[0032] Please refer to Figures 1 to 3 , and the processing process of the deviation analysis sub-module is as follows: ; Among them: DQW refers to the deviation index of water use, which is used to measure the deviation degree of the actual water consumption relative to the multi-factor dynamic water consumption benchmark value. DA refers to the influence weight factor of the water consumption DQWA in the calculation of the deviation index of water use. DQWA refers to the actually monitored water consumption, with the unit of L, which can be obtained through a flow sensor installed on the water pipe. DB refers to the water use fluctuation influence coefficient, with an initial value of 0.2, which is used to adjust the influence degree of the actual water consumption fluctuation on the deviation degree. DQWB refers to the difference between the actual water consumption in the current time period and the previous time period, with the unit of L, reflecting the real-time fluctuation of water use; DQWE refers to the average value of the actual water consumption over a past period of time; DC refers to the influence coefficient of the energy consumption fluctuation of water-using equipment, with a value of 0.1; DQWC refers to the difference in the energy consumption of water-using equipment between the current time period and the previous time period, with the unit of kWh, reflecting the real-time fluctuation of the energy consumption of water-using equipment; DQWD refers to the average energy consumption of water-using equipment over a past period of time. Abnormal fluctuations in the energy consumption of water-using equipment may mean a change in the operating state of the equipment, which in turn affects the water consumption; refers to the relative deviation ratio of the actual water consumption relative to the reference value. DQWA - WCS represents the difference between the actual water consumption and the reference value. Divide this difference by WCS. Thus, this item intuitively reflects the deviation degree between the actual water use and the reasonable water use reference, and is a basic index for measuring whether the water use is reasonable; represents the weighted influence degree of water use fluctuation on the deviation degree, refers to the relative fluctuation degree of water use. Large water use fluctuations may imply irregular water use behaviors or potential water leakage problems, and adjustments to the deviation degree are required; represents the relative fluctuation degree of the energy consumption of water-using equipment, represents the weighted influence degree of equipment energy consumption fluctuation on the deviation degree. Abnormal fluctuations in equipment energy consumption may mean a change in the operating state of the equipment, which in turn affects the water consumption. Therefore, adjustments to the deviation degree are also required; The 1 in represents the basic deviation situation without considering water use fluctuations and equipment energy consumption fluctuations; The deviation analysis sub-module combines the comprehensive water use reference value with the real-time monitored actual water consumption to reflect the relative deviation ratio of the real-time monitored actual water consumption relative to the comprehensive water use reference value, and through the integrated analysis of the relative fluctuation degree of water use and the relative fluctuation degree of the energy consumption of water-using equipment, to output the deviation degree index of water use. Through the deviation degree index of water use, it is analyzed whether the current school's water use exceeds the reasonable range, and corresponding water conservation warnings, supervision of water waste behaviors, and leakage inspections in corresponding areas of the school are carried out.

[0033] In this embodiment: when the deviation index DQW of water use 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 check the corresponding area to find out whether there is water leakage, equipment failure or water waste by personnel. If it is an equipment problem, arrange repair or replacement in time; if it is a problem of personnel's water use habits, strengthen publicity and education. When the deviation index DQW of water use is negative and its absolute value is large, it indicates that the actual water use is lower than the reasonable range. Analyze whether it is due to damaged water use equipment not being used normally or reduced personnel activities, etc., to ensure that the water use demand is met; When the deviation index DQW of water use is positive, it means that the actual water use DQWA monitored in real time is greater than the comprehensive water use benchmark WCS, indicating that the current water use exceeds the reasonable range, and there may be water waste, water leakage or equipment failure, etc. The larger the value of the deviation index DQW of water use, the greater the degree of deviation of the actual water use from the benchmark value, and the more serious the water use anomaly. When the deviation index DQW of water use is negative, it means that the actual water use DQWA monitored in real time is less than the comprehensive water use benchmark WCS, indicating that the current water use is lower than the reasonable range, which may be due to reasons such as reduced personnel activities and improved water use efficiency of water use equipment; This sub-module compares the actual water use with the dynamic water use benchmark value calculated by the water use benchmark sub-module, and takes into account the influence of water use fluctuations and water use equipment energy consumption fluctuations. In actual application, it can timely detect abnormal water use in schools. For example, if the actual water use in a certain area of the school suddenly exceeds the benchmark value by a large margin on a certain day, and the water use fluctuation and equipment energy consumption fluctuation are also large, this may mean that there is water leakage, equipment failure or water waste by personnel. By calculating the deviation index of water use in real time, the system can quickly issue an alarm to remind the management personnel to check and handle, which helps to timely detect and solve water use problems and avoid waste of water resources; Traditional technologies may simply compare the actual water use with a fixed water use standard without considering the dynamic changes in water use and the influence of equipment energy consumption. This sub-module introduces two parameters, water use fluctuation and equipment energy consumption fluctuation, which can more comprehensively reflect the actual situation of water use. Large water use fluctuations may imply irregular water use behaviors or potential water leakage hazards; abnormal equipment energy consumption fluctuations may indicate poor equipment operating conditions, which in turn affect water use. This comprehensive consideration makes the judgment of water use anomalies more accurate and timely; When the deviation index of water use exceeds the set threshold, the system automatically issues an alarm. The management personnel can immediately check the corresponding area to find out whether there is water leakage, equipment failure or water waste by personnel. If it is an equipment problem, arrange repair or replacement in time; if it is a problem of personnel's water use habits, publicity and education can be strengthened; The calculation of the deviation index DQW of water use can promptly detect abnormal water use situations, providing a basis for quickly solving water use problems and avoiding waste of water resources and unnecessary losses.

[0034] Please refer to Figures 1 to 3 , and the processing process of the water-saving potential and risk sub-module is as follows: ; Where: INP refers to the comprehensive risk index. The larger the value, the greater the water-saving potential or the higher the water use risks such as water leakage; IA refers to the weight of water use deviation, and the value can be set to 0.6; |DQW| refers to the absolute value of the deviation index of water use. The greater the deviation, the more unreasonable the water use situation, and there may be water-saving space or water leakage risks; INPA d refers to the risk score of the d-th water use device, and the value range is [0, 1]; INPA d = N1×UA + N2×UB + N3×UC; Where: UA refers to the equipment aging degree value, and the equipment aging degree value UA is measured according to the ratio of the service life of the equipment to the maximum reasonable service life of the equipment; The equipment aging degree value UA = the service life P1 of the d-th water use device d ÷ the maximum reasonable service life P2 of the d-th water use device d ; UB refers to the water leakage situation value, and the water leakage situation value UB is evaluated by detecting the water leakage frequency and water leakage volume of the device; The water leakage situation value UB = (the number of water leakage times of the d-th water use device within a certain period × the average water leakage volume per time) ÷ (the reference number of water leakage times × the reference water leakage volume); When the water leakage situation value UB > 1, it indicates that the water leakage situation of the device exceeds the reference standard. When the water leakage situation value UB = 0, it indicates that the device has no water leakage situation; UC refers to the operation status value, and the operation status value UC is determined by real-time monitoring of the flow stability and pressure stability of the device; The operation status value UC = (1 - U). Let the deviation rate of the actual operation index of the water use device d from the standard operation index be U. The value range of the operation status value is [0, 1]. The value closer to 1 indicates that the device operation status is better. For example, the standard flow of a certain water use device is 10 liters per minute, and the actual flow fluctuates between 9 - 11 liters per minute, and the deviation rate = 0.1, then the operation status value = 0.9; N1, N2, and N3 respectively refer to the weight coefficients of equipment aging, water leakage situation, and operation status; α represents the influence coefficient of equipment maintenance frequency, and its value can be 0.1; INPB d represents the number of repairs of the d-th water-using equipment in the near future; INPC represents the average number of repairs of all water-using equipment in the near future; Equipment with a high maintenance frequency may be more likely to have problems such as water leakage, increasing the water use risk; represents the weighted contribution of the deviation index of water use to the comprehensive risk index. The larger the deviation index of water use, the more unreasonable the water use situation may be, and there may be greater water-saving potential or water use risk; represents the relative situation of the number of repairs of the equipment compared to the average level, represents the weighted influence degree of equipment maintenance frequency on equipment risk. Equipment with a high maintenance frequency may be more likely to have problems such as water leakage; The water-saving potential and risk sub-module introduces the deviation index of water use in the form of an absolute value, and based on the data of water-using equipment, comprehensively evaluates and outputs the risk score of the d-th water-using equipment through the degree of equipment aging, water leakage situation and operating status. Combine 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 the comprehensive risk index, and rank each area of the school based on the comprehensive risk index, and conduct key monitoring and improvement on the risk areas.

[0035] In this embodiment: Rank each area of the school based on the comprehensive risk index INP, conduct key monitoring and improvement on the areas with higher indexes. For areas with great water-saving potential, take measures such as installing water-saving equipment (such as water-saving faucets, toilets, etc.), optimizing the water use process (such as adjusting the water use time, controlling the water flow, etc.). For areas with high water use risk, strengthen equipment maintenance and inspection, replace aging equipment in time, and formulate a regular equipment maintenance plan; The larger the value of the comprehensive risk index INP, 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 equipment risk, and thus requires key attention and corresponding water-saving or maintenance measures. This sub-module synthesizes the deviation index of water use and the risk situation of water use equipment, calculates a comprehensive index, which can help managers quickly evaluate the water-saving potential and water use risk of each area or the whole school in school water-saving management. For example, for areas with a high comprehensive index of water-saving potential and risk, it indicates that there is either a large water-saving space or a high water use risk such as leakage in this area. Managers can rank different areas according to this index, prioritize key monitoring and improvement of areas with high indexes, and formulate targeted water-saving strategies and equipment maintenance plans to improve the efficiency of water-saving management; Existing technologies may separately evaluate water-saving potential and water use risk without integrating the two. This sub-module combines the deviation index of water use and the equipment risk score to form a unified index, which can more intuitively reflect the overall water use situation in schools. At the same time, considering the influence of equipment maintenance frequency on the risk score makes the evaluation of equipment risk more accurate and comprehensive, providing a more powerful decision-making basis for school water-saving management; This sub-module ranks each area of the school according to the comprehensive index of water-saving potential and risk, focuses on 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 risk, strengthen equipment maintenance and inspection, and replace aging equipment in a timely manner; The calculation of the comprehensive risk index INP provides a clear focus and direction for school water-saving management, helps school managers formulate targeted water-saving strategies and equipment maintenance plans, and improves the efficiency and effectiveness of water-saving management.

[0036] It should be noted that based on the comprehensive risk index INP, it affects the water use fluctuation influence coefficient DB in the deviation analysis sub-module, and then adjusts and optimizes the water use deviation index DQW through the water use fluctuation influence coefficient DB. The calculation process is as follows: First: DB new = DB old + DS×(INP - INPS); Second: Set the iteration termination conditions: Termination condition 1: The number of iterations is 100 times; Termination condition 2: |INP new - INP old | < 0.001; Among them: DB new refers to the updated water use fluctuation influence coefficient; DBold It refers to the water consumption fluctuation impact coefficient before update; INP new It refers to the comprehensive risk index after update; INP old It refers to the comprehensive risk index before update; DS refers to the adjustment step size, which is used to control the adjustment amplitude of DB during each iteration and can be set according to the actual situation. It can be set to 0.01; INPS refers to the target value of the comprehensive risk index, which can be set according to the school's water conservation goal and historical data. INPS can be set to 0.3.

[0037] In this embodiment: By iteratively adjusting DB, the influence degree of water consumption fluctuation on the water consumption deviation index DQW can be dynamically adjusted according to the comprehensive risk index INP at different time periods. When INP is relatively large, it indicates that there is a large water conservation potential or water consumption risk in the school. At this time, increasing DB makes the weight of water consumption fluctuation in calculating DQW increase, and it can more sensitively capture abnormal water consumption situations; when INP is relatively small, it indicates that the water consumption situation is relatively stable, and DB is appropriately reduced to avoid over - attention to water consumption fluctuations; The iterative process enables the system to adaptively adjust parameters according to the actual water consumption situation, thereby more accurately evaluating the water consumption deviation index DQW. Accurate DQW calculation can more timely detect abnormal water consumption and provide a more reliable basis for the school's water conservation management; By iteratively feeding back the calculation results of the water conservation potential and risk sub - module to the deviation analysis sub - module, a closed - loop feedback system is formed among the three groups of sub - modules. The water conservation potential and risk sub - module comprehensively evaluates the water conservation potential and water consumption risk, while the deviation analysis sub - module is used to calculate the water consumption deviation index. Associating the two can make the entire monitoring system more intelligent and dynamic; The iterative process continuously adjusts the water consumption fluctuation impact coefficient DB in the deviation analysis sub - module, making the parameter setting more reasonable. This optimization can improve the accuracy of the calculation results of the deviation analysis sub - module and the water conservation potential and risk sub - module, and thus improve the performance of the entire water conservation monitoring system; The iterative method enables the system to automatically adjust parameters according to the actual water consumption situation, realizing intelligent adaptive monitoring. The water consumption situation in the school is dynamically changing, and different seasons and different school activities may lead to changes in the water consumption pattern. By iteratively adjusting parameters, the system can better adapt to these changes and improve the effect of water conservation monitoring; Accurate calculation of water use deviation and comprehensive index evaluation provide a more reliable basis for the school's water conservation decision-making. Based on the adjusted parameters and calculation results, the school can take targeted water conservation measures, such as focusing on inspections in areas with large water use fluctuations and promptly repairing high-risk equipment, thereby achieving more precise water conservation management; The risk comprehensive index INP of the water conservation potential and risk sub-module comprehensively considers the water use deviation DQW and the risk situation of water use equipment. In the calculation of the water use deviation index DQW of the deviation analysis sub-module, the water use fluctuation influence coefficient DB will affect the value of DQW. The water use fluctuation situation is closely related to the water conservation potential and water use risk. When the water use fluctuation is large, it may mean that there are water leakage, equipment failures or personnel wasting water, thus increasing the water conservation potential and water use risk. Therefore, by adjusting DB through INP, the system can pay more attention to the impact of water use fluctuations on water conservation and risk. This correlation enables the system to adjust the sensitivity to water use fluctuations according to the overall water conservation potential and risk situation. During periods with high water conservation potential or high risk, increasing the weight of water use fluctuations can more promptly detect abnormal water use; when the water use situation is stable, reducing the weight of water use fluctuations can avoid unnecessary interference. This dynamic adjustment improves the flexibility and accuracy of the system, helping to better achieve the school's water conservation goals.

[0038] In the specific implementation process, a water conservation intelligent monitoring system is composed of multiple sub-modules in this method. The water use benchmark sub-module is based on the historical average water consumption WCSA of the i-th water use area i and the influence factor WCSD of the i-th influencing factor i , and outputs the comprehensive water use benchmark value WCS. This water use benchmark sub-module integrates various factors such as personnel activities, meteorology, special events, and water use equipment information, and can accurately calculate the water use benchmark values for different time periods and areas in the school. This comprehensive calculation method makes the benchmark value more in line with the actual water use situation in the school, can accurately reflect the real water use demand, and provides a scientific and reasonable reference standard for the school's water use management. The school can formulate water use plans and budgets based on the comprehensive water use benchmark value WCS, rationally allocate water resources, and enhance the pertinence and adaptability of water use management; The deviation analysis sub-module outputs the water consumption deviation index DQW based on the comprehensive water consumption benchmark value WCS, the actually measured water consumption DQWA in real time, the water consumption fluctuation influence coefficient DB, the difference DQWB in the actual water consumption between the current time period and the previous time period, and the difference DQWC in the energy consumption of water-using equipment between the current time period and the previous time period. This deviation analysis sub-module compares the actual water consumption with the dynamic water consumption benchmark value calculated by the water consumption benchmark sub-module, and at the same time considers the water consumption fluctuation and the energy consumption fluctuation of water-using equipment. A large water consumption fluctuation may imply irregular water use behavior or potential water leakage, and an abnormal energy consumption fluctuation of the equipment may indicate poor equipment operation. By calculating the water consumption deviation index DQW in real time, abnormal water use situations can be detected in a timely manner, helping managers quickly troubleshoot problems and avoid water resource waste and unnecessary losses; The water saving potential and risk sub-module is based on the water consumption deviation index DQW and the risk score INPA of the d-th water-using equipment d and the number of repairs INPB of the d-th water-using equipment in the recent period d to output the comprehensive risk index INP. This sub-module combines the water consumption deviation index and the risk situation of water-using equipment to calculate the comprehensive risk index INP, and at the same time considers the influence of the equipment repair frequency on the risk score, more intuitively and comprehensively reflecting the overall water use situation of the school. The school's various regions can be ranked according to the comprehensive risk index INP. Managers can give priority to key monitoring and improvement of regions with high indexes. For regions with great water saving potential, measures such as installing water-saving equipment and optimizing the water use process can be taken; for regions with high water use risks, strengthen equipment maintenance and inspection. This sub-module provides a clear direction for the school's water saving management, improving management efficiency and effectiveness.

[0039] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Water-saving intelligent monitoring system, characterized in that: 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 analysis module; Management and analysis module: Analyze the basic value of school water use based on school water consumption data, and comprehensively calculate the basic value of school water use by combining school personnel activity data, school meteorological data and water equipment data. Analyze the relationship and impact of the frequency of personnel activities on water demand through school personnel activity data, and analyze the correlation between temperature, humidity and air pressure on water consumption through school meteorological data to output a comprehensive water use benchmark value; Based on the comprehensive water use benchmark value and school water consumption data, the real-time fluctuation of school water use is managed, and combined with the water use equipment data, the impact of the fluctuation of water use equipment energy consumption on the school water use deviation is analyzed to output the water use deviation index; Based on the water use deviation index and combined with water use equipment data, the school's water saving potential and water use risk are comprehensively evaluated. The water use equipment data is used to analyze the impact of the risk situation of water use equipment on water saving potential and water use risk, so as to output a comprehensive risk index; Optimization control module: The comprehensive water use benchmark value, water use deviation index and comprehensive risk 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 is characterized in that: The management and analysis module includes a water use benchmark submodule, a deviation analysis submodule and a water saving potential and risk submodule.

3. The water-saving intelligent monitoring system according to claim 2 is characterized in that: The data collection module collects the school personnel activity data 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 leaving the school and the length of time they stay in each area, so as to output the influencing factors of personnel activity factors; And based on the school's activity management system and the school's schedule records, obtain the school's special activities 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, and average these data to output the influencing factors of meteorological factors; The collection of school water consumption data is done 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, so as to output the real-time monitored actual water consumption and the historical average water consumption of the i-th water use area; The collection of water-using equipment data is to install intelligent monitoring equipment on the school's water-using equipment to monitor the operating status of the water-using equipment, the service life of the water-using equipment, the leakage of the water-using equipment and the maintenance records of the water-using equipment, and output the influencing factors of the water-using equipment.

4. The water-saving intelligent monitoring system according to claim 3 is characterized in that: 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 ith water use area as the basis of the water use benchmark submodule, and then comprehensively calculates the impact factor of the ith impact factor by combining the impact factors of personnel activities, impact factors of special events, impact factors of meteorological factors and impact factors of water use equipment, so as to finally output a comprehensive water use benchmark value, through which the water use benchmark value that meets the current actual situation of the school can be accurately determined.

5. The water-saving intelligent monitoring system according to claim 4 is characterized in that: 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 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.

6. The water-saving intelligent monitoring system according to claim 5 is characterized in that: 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. Based on the comprehensive risk index, various areas of the school are ranked, and risk areas are monitored and improved in a key manner.

7. The water-saving intelligent monitoring system according to claim 4 is characterized in that: The influencing 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; ； in: 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 of time; The influencing factors of meteorological factors; ； in: 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; The impact factor of special events is WCSD3; 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; The influencing factor of water-using equipment is WCSD4; ； in: 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.

8. The water-saving intelligent monitoring system according to claim 6 is 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 UA value of the equipment aging is measured based on the ratio of the equipment's service life 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.

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