Water outlet control method, system and device for intelligent water valve

Abstract

The invention discloses a water outlet control method, system and device for an intelligent water valve, and relates to the technical field of water outlet control of water valves. The water outlet control method for the intelligent water valve comprises the following steps of water outlet prediction, intelligent water valve adjustment evaluation and water outlet control effect evaluation. The real-time water outlet data corresponding to each intelligent water valve control mode is collected, the water outlet prediction index is obtained in combination with the corresponding historical water outlet data so as to adjust the opening degree of the valve, then the intelligent water valve adjustment evaluation index is obtained according to the real-time water consumption data and the real-time water return data, and whether the intelligent water valve control mode is switched or not is judged. Finally, water outlet control adjustment measures are taken according to the water outlet control effect evaluation index, the effect of improving the water outlet control effectiveness of the intelligent water valve is achieved, and the problem that in the prior art, water outlet control of the intelligent water valve is not sufficiently associated with user requirements is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of water valve water outlet control, and in particular to a water outlet control method, system and device for an intelligent water valve. Background Art

[0002] With the rapid development of smart cities and Internet of Things technologies, water resource management is gradually moving towards intelligence and automation. As an important device for precise control of water resources, smart water valves are widely used in agricultural irrigation, smart homes, industrial water supply and other fields. Combined with the innovative application of water control methods, systems and devices, it can effectively solve problems such as water resource waste and low water use efficiency, provide technical support for the sustainable use and management of water resources, and promote the development and upgrading of smart water services.

[0003] The existing intelligent water valve water outlet control mainly relies on simple mechanical valves and timing control, lacks accurate real-time monitoring and dynamic adjustment capabilities, and is difficult to adapt to different environments and changes in water demand. In addition, the existing system has deficiencies in water pressure regulation, flow precision control, and data feedback, resulting in waste of water resources and increased energy consumption, and unable to achieve efficient and intelligent water resource management. Therefore, a more advanced water outlet control method, system, and device are urgently needed to optimize the intelligent control level of water valves.

[0004] For example, a patent application with publication number: CN117267440A discloses an intelligent water valve system and its control method, which includes: a water valve device, a terminal server and a user terminal. The water valve device includes a control unit, and a normally closed solenoid valve water valve, a water flow sensor, a water pump and a micro water flow generator electrically connected to the control unit. The control unit includes a microprocessor module, a power module, a relay module and a communication module. The power module provides working power for the microprocessor module and the normally closed solenoid valve water valve. The microprocessor module controls the relay module. The water flow sensor sends data to the microprocessor module. The microprocessor module and the communication module transmit data. The relay module controls the normally closed solenoid valve water valve. The water pump delivers water to the micro water flow generator. The communication module is used to wirelessly connect to the terminal server, and the terminal server is connected to the user terminal through wireless communication; the user terminal is used to remotely receive and set the status of the water valve device, and the user terminal is provided with an intelligent water valve applet.

[0005] For example, the invention patent with announcement number: CN112032400B discloses a control method, a control device, a mixing valve and a water heater for a mixing valve, comprising: determining when the mixing valve stops discharging water; obtaining a first water inlet temperature of a hot water inlet; obtaining a second water inlet temperature of a cold water inlet; obtaining a retained water temperature of water remaining in a mixing chamber when the mixing valve stops discharging water; obtaining a change relationship between the retained water temperature and time; determining the opening of a valve associated with the cold water inlet based on the change relationship; and adjusting the valve to the determined opening.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, most intelligent water valve systems are based on fixed algorithms and threshold control, lack self-learning and adaptive capabilities, use simple preset rules and have imperfect feedback mechanisms. There is a problem that the water output control of the intelligent water valve is not sufficiently associated with user needs. Summary of the invention

[0008] The embodiments of the present application solve the problem in the prior art that the water outlet control of the smart water valve is not sufficiently associated with user needs by providing a water outlet control method, system and device for the smart water valve, thereby improving the effectiveness of the water outlet control of the smart water valve.

[0009] The embodiment of the present application provides a water outlet control method for an intelligent water valve, comprising the following steps: collecting real-time water outlet data corresponding to each intelligent water valve control mode within a preset time period, and obtaining a water outlet prediction index in combination with the corresponding historical water outlet data to adjust the valve opening, wherein the water outlet prediction index is used to quantify the degree of change in the user's water demand within the preset time period; obtaining an intelligent water valve adjustment evaluation index based on the real-time water use data and real-time return water data corresponding to the user's water use, and judging whether to switch the intelligent water valve control mode based on the intelligent water valve adjustment evaluation index, wherein the intelligent water valve adjustment evaluation index is used to quantify the degree of matching between the current intelligent water valve control mode and the user's demand based on the real-time water use situation; obtaining a water outlet control effect evaluation index based on the water outlet prediction index, the intelligent water valve adjustment evaluation index and the water use feedback data of the next preset time period, and taking water outlet control adjustment measures based on the water outlet control effect evaluation index, wherein the water outlet control effect evaluation index is used to quantify the degree of compliance between the water outlet control and the user's water demand.

[0010] Furthermore, the real-time water outlet data includes real-time water pressure, real-time water temperature, real-time water flow and real-time valve opening; the historical water outlet data includes historical average water pressure, historical average water temperature, historical average water flow and historical average valve opening; the real-time water use data includes water flow and water temperature; the real-time return water data includes real-time return water temperature, real-time return water flow, real-time return water pressure and real-time return water flow rate; the real-time water outlet data is represented by the result of average calculation of the water outlet data collected at a preset collection frequency within a preset time period; the real-time return water data is represented by the result of average calculation of the return water data collected at a preset collection frequency within a preset time period; the water use feedback data includes actual water temperature and actual water flow.

[0011] Furthermore, the specific acquisition process of the water outlet prediction index is as follows: number the preset time periods and obtain real-time water outlet data and historical water outlet data; obtain the water outlet prediction index based on the relative deviation results between the real-time water outlet data and the historical water outlet data, and the relative deviation results include water pressure relative deviation, water temperature relative deviation, flow rate relative deviation and opening relative deviation; the water pressure relative deviation is obtained by performing a ratio operation on the absolute value of the difference between the real-time water pressure and the historical average water pressure and the historical average water pressure; the water temperature relative deviation is obtained by performing a ratio operation on the absolute value of the difference between the real-time water temperature and the historical average water temperature and the historical average water temperature; the flow rate relative deviation is obtained by performing a ratio operation on the absolute value of the difference between the real-time water flow rate and the historical average water flow rate and the historical average water flow rate; the opening relative deviation is obtained by performing a ratio operation on the absolute value of the difference between the real-time valve opening and the historical average valve opening and the historical average valve opening.

[0012] Furthermore, the specific acquisition process of the intelligent water valve adjustment evaluation index is as follows: obtain reference water use data from a preset database, the reference water use data including a preset water temperature and a preset water flow rate; obtain reference return water data from a preset database, the reference return water data including a reference return water temperature, a return water flow reference range, a return water pressure reference range and a return water flow rate reference range; obtain a real-time return water index based on the real-time return water flow, the real-time return water pressure and the real-time return water flow rate and the corresponding reference return water data, the real-time return water index including a return water flow index, a return water pressure index and a return water flow rate index; obtain adjustment evaluation weights from the preset database, the adjustment evaluation weights including water use evaluation weights and return water evaluation weights; obtain the intelligent water valve adjustment evaluation index based on water use data, return water data, reference water use data, reference return water data and adjustment evaluation weights.

[0013] The method for obtaining the intelligent water valve adjustment evaluation index is as follows:

[0014]

[0015] Where t represents the number of the preset time period, t = 1, 2, ..., T, T represents the total number of preset time periods, Wf t Indicates the water flow rate in the tth preset time period, Wt t Indicates the water temperature in the tth preset time period, St t Indicates the real-time return water temperature of the tth preset time period, Wt t ′ represents the preset water temperature of the tth preset time period, Wf t ′ represents the preset water flow rate in the t-th preset time period, θ represents the water consumption assessment weight, ρ represents the return water assessment weight, St t ′ represents the reference return water temperature of the tth preset time period, Rf tRepresents the return flow index of the tth preset time period, Rp t Indicates the return water pressure index of the tth preset time period, Rr t Indicates the return flow rate index of the tth preset time period, Ia t Represents the smart water valve adjustment evaluation index for the tth preset time period.

[0016] Furthermore, the specific process of determining whether to switch the smart water valve control mode is as follows: obtain the adjustment evaluation threshold from the preset database and compare it with the smart water valve adjustment evaluation index: if the smart water valve adjustment evaluation index is not less than the adjustment evaluation threshold, maintain the current smart water valve control mode; if the smart water valve adjustment evaluation index is less than the adjustment evaluation threshold, switch the smart water valve control mode.

[0017] Furthermore, the specific acquisition process of the water outlet control effect evaluation index is as follows: obtain the control effect evaluation weight from a preset database, and the control effect evaluation weight includes a prediction weight and an adjustment weight; process the acquired water consumption feedback data and the reference water consumption data respectively and perform a sum operation to obtain a feedback result, and perform an inverse hyperbolic sine operation on the feedback result to obtain a first processing result; obtain a second processing result by processing the water outlet prediction index, the intelligent water valve adjustment evaluation index and the corresponding control effect evaluation weight; obtain the water outlet control effect evaluation index based on the first processing result and the second processing result.

[0018] Furthermore, the specific process of taking water outlet control adjustment measures is as follows: obtaining a water outlet control threshold from a preset database, and the water outlet control threshold is used to determine whether to take water outlet control adjustment measures; comparing the water outlet control threshold with the water outlet control effect evaluation index: if the water outlet control effect evaluation index is not less than the water outlet control threshold, no water outlet control adjustment measures are taken; if the water outlet control effect evaluation index is less than the water outlet control threshold, water outlet control adjustment measures are taken; the water outlet control adjustment measures include a mixed temperature difference intelligent water valve control mode and a maintenance warning.

[0019] Furthermore, the intelligent water valve control mode includes an electric regulating valve mode, a flow mode, a position + temperature difference mode, a flow + temperature difference mode, a position + return water temperature mode, a flow + return water temperature mode, a constant temperature difference mode and a constant return water temperature mode; the electric regulating valve mode indicates that the electric actuator adjusts the valve opening according to the control signal; the flow mode indicates that the electric actuator adjusts the valve flow according to the control signal and adjusts the valve opening according to the relationship between the measured actual valve flow and the preset valve flow; the position + temperature difference mode indicates that the electric actuator adjusts the valve opening according to the control signal received in the standby state, and compares the measured temperature difference with the preset temperature difference after a preset duration, and the measured temperature difference indicates the difference between the actual water temperature measured in real time and the set water temperature; the position + return water temperature mode includes cooling condition adjustment and heating condition adjustment; the flow + return water temperature mode includes cooling condition adjustment and heating condition adjustment; the constant temperature difference mode indicates that the valve opening is adjusted according to the relationship between the supply and return water temperature difference obtained by measuring the supply and return water temperature in real time and the preset temperature difference.

[0020] The embodiment of the present application provides a water outflow control system for an intelligent water valve, comprising a water outflow prediction module, an intelligent water valve adjustment evaluation module and a water outflow control effect evaluation module; wherein the water outflow prediction module is used to collect real-time water outflow data corresponding to each intelligent water valve control mode within a preset time period, and obtain a water outflow prediction index in combination with the corresponding historical water outflow data to adjust the valve opening, and the water outflow prediction index is used to quantify the degree of change in the user's water demand within the preset time period; the intelligent water valve adjustment evaluation module is used to obtain the intelligent water valve adjustment evaluation index according to the real-time water use data and real-time return water data corresponding to the user after water use, and judge whether to switch the intelligent water valve control mode based on the intelligent water valve adjustment evaluation index, and the intelligent water valve adjustment evaluation index is used to quantify the matching degree between the current intelligent water valve control mode and the user's demand according to the real-time water use situation; the water outflow control effect evaluation module is used to obtain the water outflow control effect evaluation index according to the water outflow prediction index, the intelligent water valve adjustment evaluation index and the water use feedback data of the next preset time period, and take water outflow control adjustment measures based on the water outflow control effect evaluation index, and the water outflow control effect evaluation index is used to quantify the degree of compliance between water outflow control and the user's water demand.

[0021] An embodiment of the present application provides a device for applying the water outlet control method for an intelligent water valve, characterized in that it includes a data acquisition device, a storage device and a processing device; wherein the data acquisition device is used to collect real-time water outlet data, real-time water use data, real-time return water data and water use feedback data, and the data acquisition device includes a pressure sensor, a temperature sensor, a flow sensor, a flow velocity sensor and an angle sensor; the storage device is used to store real-time water outlet data, real-time water use data, real-time return water data and water use feedback data; the processing device is used to perform water outlet control of the intelligent water valve according to the data stored in the storage device and take water outlet control adjustment measures.

[0022] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0023] 1. By collecting the real-time water output data corresponding to each intelligent water valve control mode, and combining the corresponding historical water output data to obtain the water output prediction index to adjust the valve opening, then obtain the intelligent water valve adjustment evaluation index according to the real-time water use data and the real-time return water data, and judge whether to switch the intelligent water valve control mode, and finally obtain the water output control effect evaluation index according to the water output prediction index, the intelligent water valve adjustment evaluation index and the water use feedback data to take water output control adjustment measures, so as to more accurately respond to the user's water demand, and then realize the improvement of the effectiveness of the intelligent water valve water output control, and effectively solve the problem of insufficient correlation between the water output control of the intelligent water valve and the user demand in the prior art.

[0024] 2. By numbering the preset time periods and obtaining real-time water output data and historical water output data, and then obtaining the water output prediction index based on the relative deviation between the real-time water output data and the historical water output data, the user's water demand can be responded to more promptly, thereby improving the effectiveness of the water output control of the intelligent water valve.

[0025] 3. Obtain the control effect evaluation weight from the preset database, process the obtained water consumption feedback data and the reference water consumption data respectively and perform sum operation to obtain the feedback result, then perform inverse hyperbolic sine operation on the feedback result to obtain the first processing result, and then process the water outlet prediction index, the intelligent water valve adjustment evaluation index and the corresponding control effect evaluation weight to obtain the second processing result, and finally obtain the water outlet control effect evaluation index based on the first processing result and the second processing result, so as to more accurately evaluate the effect of the intelligent water valve water outlet control, and then achieve more effective optimization of the intelligent water valve water outlet control strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A flow chart of a water outlet control method for an intelligent water valve provided in an embodiment of the present application;

[0027] Figure 2 A schematic diagram showing how the water outlet control effect evaluation index provided in the embodiment of the present application changes with the actual water temperature;

[0028] Figure 3 A schematic diagram showing the change of the water outlet control effect evaluation index with the actual water flow rate provided in the embodiment of the present application;

[0029] Figure 4 A schematic diagram of the change of the water discharge control effect evaluation index with the water discharge prediction index provided in the embodiment of the present application;

[0030] Figure 5 A schematic diagram of the change of the water outlet control effect evaluation index along with the intelligent water valve adjustment evaluation index provided in the embodiment of the present application;

[0031] Figure 6 The opening control variation diagram provided in the embodiment of the present application;

[0032] Figure 7 A flow control variation diagram provided for an embodiment of the present application;

[0033] Figure 8 The opening degree + minimum temperature difference variation diagram provided in the embodiment of the present application;

[0034] Fig. 9 The flow rate + minimum temperature difference change diagram provided in the embodiment of the present application;

[0035] Fig.10 The refrigeration condition opening degree + return water temperature change diagram provided in the embodiment of the present application;

[0036] Fig.11 A diagram showing the heating operating condition opening degree + return water temperature variation provided in an embodiment of the present application;

[0037] Fig.12 A diagram showing the change in flow rate and return water temperature under refrigeration conditions provided in an embodiment of the present application;

[0038] Fig.13 A diagram showing the flow rate and return water temperature variation in the heating condition provided in the embodiment of the present application;

[0039] Fig.14 A constant temperature difference control variation diagram provided in an embodiment of the present application;

[0040] Fig.15 A constant return water temperature control variation diagram provided in an embodiment of the present application;

[0041] Fig.16 Energy control variation diagram provided for the embodiment of the present application;

[0042] Fig.17This is a pressure difference control variation diagram provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The embodiment of the present application solves the problem of insufficient correlation between water outlet control of smart water valves and user needs in the prior art by providing a water outlet control method, system and device for smart water valves. The real-time water outlet data corresponding to each smart water valve control mode is collected, the preset time periods are numbered and the historical water outlet data is obtained, and then the water outlet prediction index is obtained according to the relative deviation result between the real-time water outlet data and the historical water outlet data to adjust the valve opening, and then the smart water valve adjustment evaluation index is obtained according to the real-time water use data and the real-time return water data, and it is determined whether to switch the smart water valve control mode, and finally the control effect evaluation weight is obtained from the preset database, and then the obtained water use feedback data and the reference water use data are processed respectively and summed to obtain the feedback result, and then the feedback result is subjected to an inverse hyperbolic sine operation to obtain a first processing result, and then the water outlet prediction index, the smart water valve adjustment evaluation index and the corresponding control effect evaluation weight are processed to obtain a second processing result, and the water outlet control effect evaluation index is obtained based on the first processing result and the second processing result to take water outlet control adjustment measures, thereby improving the effectiveness of water outlet control of the smart water valve.

[0044] The technical solution in the embodiment of the present application is to solve the problem that the water outlet control of the above-mentioned intelligent water valve is not sufficiently associated with user needs. The overall idea is as follows:

[0045] By collecting the real-time water outlet data corresponding to each intelligent water valve control mode, and combining it with the corresponding historical water outlet data, the water outlet prediction index is obtained to adjust the valve opening. Then, the intelligent water valve adjustment evaluation index is obtained according to the real-time water usage data and the real-time return water data, and it is determined whether to switch the intelligent water valve control mode. Finally, water outlet control adjustment measures are taken according to the water outlet control effect evaluation index, thereby achieving the effect of improving the effectiveness of water outlet control of the intelligent water valve.

[0046] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0047] like Figure 1As shown, it is a flow chart of a water outlet control method for a smart water valve provided by an embodiment of the present application, the method comprising the following steps: collecting real-time water outlet data corresponding to each smart water valve control mode within a preset time period, and combining the historical water outlet data under the smart water valve control mode corresponding to the corresponding historical time period to obtain a water outlet prediction index to adjust the valve opening, the smart water valve control mode is used to adjust the valve opening according to a control signal, the control signal includes a DDC (Direct Digit Control) analog signal and a network signal, and the water outlet prediction index is used to quantify the degree of change in the user's water demand within a preset time period; obtaining a smart water valve adjustment evaluation index according to the real-time water use data and real-time return water data corresponding to the user's water use, judging whether to switch the smart water valve control mode based on the smart water valve adjustment evaluation index, and the smart water valve adjustment evaluation index is used to quantify the degree of matching between the current smart water valve control mode and the user's demand according to the real-time water use situation; obtaining a water outlet control effect evaluation index according to the water outlet prediction index, the smart water valve adjustment evaluation index and the water use feedback data of the next preset time period, taking water outlet control adjustment measures based on the water outlet control effect evaluation index, and the water outlet control effect evaluation index is used to quantify the degree of compliance between water outlet control and the user's water demand.

[0048] In this embodiment, adjusting the valve opening means judging whether to adjust the valve opening according to the water outlet prediction index. According to a mapping table of the water outlet prediction index and the predicted valve opening, the real-time water outlet prediction index is input into the mapping table to obtain the corresponding predicted valve opening, and the valve opening of the smart water valve is adjusted to a preset proportion of the predicted valve opening. The preset proportion is usually ninety-nine percent, and a dead zone of one percent is reserved to avoid oscillation. The method provided in the embodiment of the present application helps to respond to the user's water demand in a timely manner and make dynamic adjustments, thereby improving the effectiveness of the water outlet control of the smart water valve.

[0049] It should be added that the real-time water output data includes real-time water pressure, real-time water temperature, real-time water flow and real-time valve opening; the historical water output data includes the historical average water pressure, historical average water temperature, historical average water flow and historical average valve opening; the real-time water use data includes water flow and water temperature; the real-time return water data includes real-time return water temperature, real-time return water flow, real-time return water pressure and real-time return water flow rate; the real-time water output data is represented by the result of the mean operation of the water output data collected within a preset time period at a preset collection frequency; the real-time return water data is represented by the result of the mean operation of the return water data collected within a preset time period at a preset collection frequency; the water use feedback data includes the actual water temperature and the actual water flow.

[0050] Specifically, the real-time water pressure is measured by installing a pressure sensor in the pipeline, the real-time water temperature is measured by installing a temperature sensor in the outlet pipeline, the real-time water flow is measured by a flow sensor in the straight pipe section of the outlet pipeline, the real-time valve opening is measured by an angle sensor installed at the switch position of the valve actuator, the real-time return water temperature is measured by installing a temperature sensor in the return water pipeline, the real-time return water flow is measured by installing a flow sensor in the return water pipeline, the real-time return water pressure is measured by installing a pressure sensor in the return water pipeline, and the real-time return water flow rate is measured by installing a flow rate sensor in the return water pipeline; the water use temperature and the actual water use temperature are measured by a temperature sensor installed at the water outlet, and the water flow rate and the actual water flow rate are measured by a flow sensor installed at the water outlet; wherein, the preset collection frequency is every 2s / time, and the average value of the data collected 15 times in the preset time period is used for calculation, and the historical water outlet data is obtained from the storage device and the mean value is obtained; through the collection of the above data, a sufficient data basis is provided for subsequent data analysis and evaluation.

[0051] Furthermore, the specific acquisition process of the water outlet prediction index is as follows: number the preset time periods and obtain real-time water outlet data and historical water outlet data; obtain the water outlet prediction index based on the relative deviation results between the real-time water outlet data and the historical water outlet data, and the relative deviation results include water pressure relative deviation, water temperature relative deviation, flow rate relative deviation and opening relative deviation; the water pressure relative deviation is obtained by ratioing the absolute value of the difference between the real-time water pressure and the historical average water pressure with the historical average water pressure; the water temperature relative deviation is obtained by ratioing the absolute value of the difference between the real-time water temperature and the historical average water temperature with the historical average water temperature; the flow rate relative deviation is obtained by ratioing the absolute value of the difference between the real-time water flow rate and the historical average water flow rate with the historical average water flow rate; the opening relative deviation is obtained by ratioing the absolute value of the difference between the real-time valve opening and the historical average valve opening with the historical average valve opening.

[0052] The method to obtain the water discharge prediction index is:

[0053]

[0054] Where t represents the number of the preset time period, t = 1, 2, ..., T, T represents the total number of preset time periods, Rp t Indicates the real-time water pressure in the tth preset time period, Rt t Indicates the real-time water temperature in the tth preset time period, Rf t Indicates the real-time water flow rate in the tth preset time period, Rv t Indicates the real-time valve opening of the t-th preset time period, Hp t Indicates the historical average water pressure corresponding to the t-th preset time period, Htt Indicates the historical average water temperature corresponding to the t-th preset time period, Hf t Indicates the historical average water flow corresponding to the t-th preset time period, Hv t represents the historical average valve opening corresponding to the t-th preset time period, Wi t Represents the water output prediction index for the tth preset time period.

[0055] In this embodiment, the algorithm combines the real-time water discharge data with the historical water discharge data for comprehensive analysis to obtain the water discharge prediction index, where the relative deviation of water pressure (i.e. ) is smaller, that is, the closer the real-time water pressure is to the historical average water pressure, the corresponding water output prediction index will increase accordingly, indicating that the water pressure control in the current preset time period is more in line with the user's water demand habits. Similarly, when the water temperature relative deviation (i.e. ), flow relative deviation (i.e. ) and the relative deviation of opening (i.e. ), the corresponding water output prediction index will also increase, indicating that the control of real-time water temperature, real-time water flow and real-time valve opening in the current preset time period is more in line with the user's water demand habits. By adjusting the valve opening of the smart water valve in advance through the water output prediction index, it will help improve the real-time response of the smart water valve to user needs and enhance the user experience.

[0056] Specifically, assume that the historical average water pressure in the current preset time period is 0.5 MPa, the historical average water temperature is 35°C, and the historical average water flow rate is 0.5 m 3 / s, the historical average valve opening is 50%, and the data change table of water prediction index can be obtained, as shown in Table 1:

[0057] Table 1 Data change table of water discharge prediction index

[0058]

[0059]

[0060] It can be seen from Table 1 that as the real-time water outflow data is closer to the historical water outflow data, the water outflow prediction index is larger. For example, when the real-time water pressure, real-time water temperature, real-time water flow and real-time valve opening are smaller than the corresponding historical water outflow data, the corresponding water outflow prediction index is smaller. For example, when the real-time water outflow data in the first row are all smaller than the real-time water outflow data in the third row (i.e., the historical water outflow data), the corresponding water outflow prediction index of 0.69 in the first row is also smaller than 1.00 in the third row; and when the real-time water pressure, real-time water temperature, real-time water flow and real-time valve opening are larger than the corresponding historical water outflow data, the corresponding water outflow prediction index is also smaller. For example, when the real-time water outflow data in the fifth row are all larger than the real-time water outflow data in the third row (i.e., the historical water outflow data), the corresponding water outflow prediction index of 0.70 in the fifth row is also smaller than 1.00 in the third row; it can be obtained that when the real-time water outflow data are all close to the historical water outflow data, the corresponding water outflow prediction index is larger, indicating that the water outflow control in the current preset time period is more in line with the user's water use habits, thereby improving the real-time response of the intelligent water valve to user needs.

[0061] Specifically, the parameters involved in the processing of the water output prediction index in this algorithm are interrelated and do not exist independently. Among them, water pressure is the main factor driving water flow. When water pressure increases, water flow will usually increase under the same valve opening conditions. Conversely, when water pressure decreases, water flow will decrease. Valve opening is a parameter that directly controls water flow. When the valve opening increases, that is, the valve opens wider, the water flow will increase; conversely, when the valve opening decreases, the water flow will decrease; and water temperature changes may affect water pressure. In a closed system, an increase in water temperature will cause water to expand, thereby increasing water pressure. When the water temperature decreases, the water pressure may decrease accordingly. At the same time, the user's demand for different water temperatures will affect the water flow. For example, the user may want to adjust the valve opening to obtain water with a higher temperature or a larger flow rate.

[0062] Furthermore, the specific acquisition process of the intelligent water valve adjustment evaluation index is as follows: obtain reference water use data from a preset database, the reference water use data includes a preset water temperature and a preset water flow rate; obtain reference return water data from a preset database, the reference return water data includes a reference return water temperature, a return water flow reference range, a return water pressure reference range and a return water flow rate reference range, the return water flow reference range represents the range corresponding to the minimum return water flow rate to the maximum return water flow rate, the return water pressure reference range represents the range corresponding to the minimum return water pressure to the maximum return water pressure, and the return water flow rate reference range represents the range corresponding to the minimum return water flow rate to the maximum return water flow rate; obtain a real-time return water index based on the real-time return water flow rate, the real-time return water pressure and the real-time return water flow rate and the corresponding reference return water data, the real-time return water index includes a return water flow rate index, a return water pressure index and a return water flow rate index; obtain adjustment evaluation weights from the preset database, the adjustment evaluation weights include water use evaluation weights and return water evaluation weights; obtain the intelligent water valve adjustment evaluation index based on water use data, return water data, reference water use data, reference return water data and adjustment evaluation weights.

[0063] The method for obtaining the intelligent water valve adjustment evaluation index is as follows:

[0064]

[0065] R t =tanh(|F t -F min |+|F t -F max |-|F max -F min |);

[0066] R t =tanh(|P t -P min |+|P t -P max |-|P max -P min |);

[0067] R t =tanh(|R t -R min |+|R t -R max |-|R max -R min |);

[0068] Where t represents the number of the preset time period, t = 1, 2, ..., T, T represents the total number of preset time periods, Wf t Indicates the water flow rate in the tth preset time period, Wt tIndicates the water temperature in the tth preset time period, St t Indicates the real-time return water temperature of the tth preset time period, F t represents the real-time backwater flow rate in the tth preset time period, P t Indicates the real-time return water pressure in the tth preset time period, R t Indicates the real-time return water flow rate in the tth preset time period, Wt t ′ represents the preset water temperature of the tth preset time period, Wf t ′ represents the preset water flow rate in the tth preset time period, St t ′ represents the reference return water temperature in the t-th preset time period, θ represents the water consumption assessment weight, ρ represents the return water assessment weight, Rf t Indicates the return flow index for the tth preset time period, Rp t Indicates the return water pressure index of the tth preset time period, Rr t Indicates the return flow rate index of the tth preset time period, F min Indicates the minimum return flow rate, F max Indicates the maximum return flow rate, P min Indicates the minimum return water pressure, P max Indicates the maximum return water pressure, R min Indicates the minimum return flow rate, R max Indicates the maximum return flow rate, Ia t Represents the smart water valve adjustment evaluation index for the tth preset time period.

[0069] In this embodiment, the algorithm combines water use data, return water data, reference water use data, reference return water data and adjustment evaluation weights for comprehensive analysis to obtain the intelligent water valve adjustment evaluation index, wherein, as the water flow rate is closer to the preset water flow rate and the water temperature is closer to the preset water temperature, the intelligent water valve adjustment evaluation index is larger, indicating that the current intelligent water valve control mode is more in line with the user's water demand; at the same time, when the real-time return water temperature is closer to the reference return water temperature, the intelligent water valve adjustment evaluation index also increases, and when the return water flow index, the return water pressure index and the return water flow rate index increase, the intelligent water valve adjustment evaluation index increases accordingly. Decrease, indicating that the larger the return water flow index, the return water pressure index and the return water flow rate index, the more unstable the current intelligent water valve control mode is, and the lower the water supply quality to the user is likely to be. Among them, the larger the return water flow index, the return water pressure index and the return water flow rate index are, the higher the degree of deviation of the corresponding real-time return water data from the corresponding reference return water data is, and the greater the water supply quality to the user is; therefore, through the analysis of the intelligent water valve adjustment evaluation index, it is helpful to more accurately evaluate the matching degree between the intelligent water valve control mode in the current preset time period and the user's water demand, so as to take timely measures to improve the effectiveness of the intelligent water valve water outlet control.

[0070] Specifically, the parameters involved in the processing of the intelligent water valve adjustment evaluation index in this algorithm are interrelated and do not exist independently. Among them, the water flow directly reflects the user's water demand, and the water temperature reflects the user's temperature demand. The two are closely related in the process of satisfying the user's comfort. For example, the user may indirectly affect the outlet water temperature by adjusting the outlet water flow, such as reducing the flow to increase the temperature, or increasing the flow to reduce the temperature; in a circulating water supply system (such as floor heating, central air conditioning or hot water circulation system), the water flow and the return water flow are usually closely related. An increase in the water flow will lead to an increase in the return water flow in the system, and vice versa; the difference between the water temperature and the return water temperature (i.e., the temperature difference) reflects the heat exchange efficiency of the heating system. The larger the temperature difference, the lower the heat energy utilization efficiency, or the water flow is too small. The smaller the temperature difference, the insufficient system circulation, or the high return water temperature leads to insufficient heating effect; and when the return water temperature increases, the return water pressure in the pipeline may increase due to the thermal expansion effect. Conversely, when the return water temperature decreases, the return water pressure may decrease accordingly.

[0071] Specifically, the reference water use data is obtained from a preset database. In a specific embodiment, the reference water use data is obtained by reading a control signal from a DDC. For example, if the water temperature obtained by reading the control signal from the user is 40°C and the water flow rate is 0.8m 3 / s, the preset water temperature is 40℃ and the preset water flow rate is 0.8m 3 / s.

[0072] Specifically, the reference return water data is obtained from a preset database. In a specific embodiment, the reference return water data is set according to a specific water use environment. Different water use environments have different requirements for real-time return water data.

[0073] Specifically, the water use assessment weight refers to the weight value corresponding to the water use data in the preset database, which indicates the degree of influence of the water use data on the intelligent water valve adjustment assessment index. The weight can be set directly by the preset personnel or directly obtained from the preset database. For example, by establishing a mapping relationship between water use data and the preset intelligent water valve adjustment assessment index, the corresponding weight value can be obtained by inputting the real-time water use data into the mapping set. The mapping relationship is one-to-one, and its weight value range is [0, 1]; in this example, the sum of the water use assessment weight and the return water assessment weight is 1.

[0074] Furthermore, the specific process of determining whether to switch the smart water valve control mode is as follows: obtain the adjustment evaluation threshold from the preset database and compare it with the smart water valve adjustment evaluation index: if the smart water valve adjustment evaluation index is not less than the adjustment evaluation threshold, maintain the current smart water valve control mode; if the smart water valve adjustment evaluation index is less than the adjustment evaluation threshold, switch the smart water valve control mode. Switching the smart water valve control mode indicates recommending the relevant smart water valve control mode to the user, and switching is performed according to the smart water valve control mode selected by the user.

[0075] In this embodiment, by comparing the intelligent water valve adjustment evaluation index with the adjustment evaluation threshold, it is ensured that the intelligent water valve control mode is dynamically adjusted based on the water outlet control effect, thereby avoiding unnecessary frequent switching, and further improving the stability and intelligence level of the intelligent water valve control mode.

[0076] Specifically, the adjustment evaluation threshold is obtained from a preset database. In a specific embodiment, the water use data and return water data corresponding to the situation where the water outflow control does not meet the water demand reported by the user in the historical data are substituted into the specific restriction expression of the intelligent water valve adjustment evaluation index to obtain the corresponding data set, and the data set is averaged to obtain the adjustment evaluation threshold.

[0077] Furthermore, the specific acquisition process of the water outlet control effect evaluation index is as follows: obtain the control effect evaluation weight from the preset database, the control effect evaluation weight includes the prediction weight and the adjustment weight; process the acquired water consumption feedback data and the reference water consumption data respectively and perform a sum operation to obtain the feedback result, and perform an inverse hyperbolic sine operation on the feedback result to obtain the first processing result; obtain the second processing result by processing the water outlet prediction index, the intelligent water valve adjustment evaluation index and the corresponding control effect evaluation weight; obtain the water outlet control effect evaluation index based on the first processing result and the second processing result.

[0078] The specific limiting expression of the effluent control effect evaluation index is as follows:

[0079]

[0080] Where t represents the number of the preset time period, t = 1, 2, ..., T, T represents the total number of preset time periods, At t Indicates the actual water temperature in the tth preset time period, Af t Indicates the actual water flow rate in the tth preset time period, Wt t ′ represents the preset water temperature of the tth preset time period, Wf t ′ represents the preset water flow rate in the tth preset time period, Wi t Represents the water output prediction index for the t-th preset time period, Ia trepresents the intelligent water valve adjustment evaluation index of the t-th preset time period, α represents the prediction weight, β represents the adjustment weight, and Ec t represents the water outlet control effect evaluation index of the t-th preset time period, and e represents a natural constant.

[0081] In this embodiment, the algorithm combines water consumption feedback data, reference water consumption data, water outlet prediction index, intelligent water valve adjustment evaluation index and corresponding control effect evaluation weights for comprehensive analysis to obtain a water outlet control effect evaluation index, wherein, as the actual water consumption temperature is closer to the preset water temperature and the actual water consumption flow is closer to the preset water consumption flow, the larger the water outlet control effect evaluation index is, indicating that the water outlet control is more accurate and more in line with the user's water demand; at the same time, the water outlet prediction index and the intelligent water valve adjustment evaluation index are both positively correlated with the water outlet control effect evaluation index, and as the water outlet prediction index and the intelligent water valve adjustment evaluation index increase, the water outlet control effect evaluation index also increases, indicating that the more accurate the water outlet prediction and the more accurate the intelligent water valve adjustment evaluation are, the more in line with the water demand is the water outlet control effect; through the analysis of the water outlet control effect evaluation index, the effect of the water outlet control of the current intelligent water valve control mode is more accurately evaluated, thereby improving the effectiveness of the intelligent water valve water outlet control.

[0082] like Figure 2 As shown in the figure, it is a schematic diagram of the change of the water outlet control effect evaluation index provided in the embodiment of the present application with the actual water temperature, with specific assumptions: the preset water temperature is 40°C, the preset water flow rate is 0.8m 3 / s, the prediction weight is 0.4, the adjustment weight is 0.6, when the actual water flow is 0.6m 3 / s, the water output prediction index is 0.6, the intelligent water valve adjustment evaluation index is 1.0, and as the actual water temperature approaches the preset water temperature, the image shows an upward trend, otherwise the image shows a downward trend.

[0083] like Figure 3 As shown in FIG. 1 , it is a schematic diagram of the change of the water outlet control effect evaluation index provided in the embodiment of the present application with the actual water flow rate, with specific assumptions: the preset water temperature is 40°C, the preset water flow rate is 0.8m 3 / s, the prediction weight is 0.4, the adjustment weight is 0.6, when the actual water temperature is 35℃, the water outlet prediction index is 0.6, and the intelligent water valve adjustment evaluation index is 1.0. As the actual water flow rate is closer to the preset water flow rate, the steeper the image is, the larger the value of the corresponding water outlet control effect evaluation index is, and vice versa.

[0084] like Figure 4 As shown in the figure, it is a schematic diagram of the change of the water outlet control effect evaluation index with the water outlet prediction index provided in the embodiment of the present application, with specific assumptions: the preset water temperature is 40°C, the preset water flow rate is 0.8m 3 / s, the prediction weight is 0.4, the adjustment weight is 0.6, when the actual water temperature is 35℃, the actual water flow rate is 0.6m 3 / s, the intelligent water valve adjustment evaluation index is 1.0. As the water outflow prediction index increases, the image gradually rises, indicating that the water outflow prediction index is positively correlated with the water outflow control effect evaluation index.

[0085] like Figure 5 As shown in the figure, it is a schematic diagram of the change of the water outlet control effect evaluation index with the intelligent water valve adjustment evaluation index provided in the embodiment of the present application, with specific assumptions: the preset water temperature is 40°C, the preset water flow rate is 0.8m 3 / s, the prediction weight is 0.4, the adjustment weight is 0.6, when the actual water temperature is 35℃, the actual water flow rate is 0.6m 3 / s, the water outlet prediction index is 0.6. As the intelligent water valve adjustment evaluation index increases, the image gradually rises, indicating that the intelligent water valve adjustment evaluation index is positively correlated with the water outlet control effect evaluation index.

[0086] The analysis of the above images helps to more intuitively analyze the relationship between the water outlet control effect evaluation index and the corresponding influencing factors, so as to obtain more accurate analysis results and take corresponding measures to improve the compliance of water outlet control with user water demand.

[0087] Specifically, the parameters involved in the processing of the water outlet control effect evaluation index in this algorithm are interrelated and do not exist independently. In actual use, changes in water flow rate will affect the water temperature perceived by users. For example, when the flow rate increases, the water temperature may drop slightly, because the faster water flow rate may cause insufficient heat exchange in the heating system; when the flow rate decreases, the water temperature may rise, because the water stays in the heater longer and absorbs more heat; and the stability of the actual water temperature usually depends on the stability of the water flow rate. If the water flow rate changes frequently, such as when the user opens or closes multiple water outlets, the heating system needs to dynamically adjust the water outlet temperature, but there may be a lag, resulting in fluctuations in the water temperature perceived by the user.

[0088] Specifically, the prediction weight refers to the weight value corresponding to the water discharge prediction index in the preset database, which is used to represent the numerical value of the influence of the water discharge prediction index on the water discharge control effect evaluation index. The weight can be obtained directly from the preset database, which is specifically reflected in the mapping relationship established between the water discharge prediction index and the preset water discharge control effect evaluation index. Through this pre-set mapping relationship, the real-time water discharge prediction index is input into the mapping set to obtain the corresponding weight value. The mapping relationship is one-to-one, and its weight value range is [0, 1]; specifically, in this example, the sum of the prediction weight and the adjustment weight is 1.

[0089] Furthermore, the specific process of taking water outlet control adjustment measures is as follows: obtain the water outlet control threshold from the preset database, and the water outlet control threshold is used to determine whether to take water outlet control adjustment measures; compare the water outlet control threshold with the water outlet control effect evaluation index: if the water outlet control effect evaluation index is not less than the water outlet control threshold, no water outlet control adjustment measures are taken; if the water outlet control effect evaluation index is less than the water outlet control threshold, water outlet control adjustment measures are taken; the water outlet control adjustment measures include a mixed temperature difference intelligent water valve control mode and a maintenance warning; the mixed temperature difference intelligent water valve control mode indicates an intelligent water valve control mode that combines the current intelligent water valve control mode with the temperature difference to perform water outlet control in the next preset time period; the maintenance warning indicates a prompt for the user to inspect the usage of the intelligent water valve related hardware.

[0090] In this embodiment, by real-time comparison of the water outlet control effect evaluation index and the control threshold, abnormal conditions of the smart water valve can be discovered in time, and corresponding adjustment measures can be taken to reduce the risks that may arise during the operation of the smart water valve and improve the stability and safety of the smart water valve.

[0091] Specifically, the water outflow control threshold is obtained from a preset database. In a specific embodiment, the water use feedback data corresponding to the situation that does not meet the water use demand reported by users in the historical data is substituted into the specific restriction expression of the water outflow control effect evaluation index to obtain the corresponding data set, and the data set is averaged to obtain the water outflow control threshold.

[0092] Furthermore, the intelligent water valve control modes include electric regulating valve mode, flow mode, position + temperature difference mode, flow + temperature difference mode, position + return water temperature mode, flow + return water temperature mode, constant temperature difference mode and constant return water temperature mode; the electric regulating valve mode means that the electric actuator adjusts the valve opening according to the control signal; the flow mode means that the electric actuator adjusts the valve flow according to the control signal and adjusts the valve opening according to the relationship between the measured actual valve flow and the preset valve flow, and uploads the analog signal or network signal corresponding to the measured flow to the DDC; the position + temperature difference mode means that the electric actuator adjusts the valve opening according to the control signal received in the standby state, and compares the measured temperature difference with the preset temperature difference after a preset duration, and the measured temperature difference means the actual temperature difference measured in real time. The difference between the water temperature and the set water temperature. The standby state indicates the state obtained by adjusting the smart water valve when the electric actuator receives the minimum control signal and no signal; the flow + temperature difference mode indicates that the electric actuator adjusts the valve flow according to the control signal received in the standby state, and compares the measured temperature difference with the preset temperature difference after a preset duration; the position + return water temperature mode includes cooling condition adjustment and heating condition adjustment; the flow + return water temperature mode includes cooling condition adjustment and heating condition adjustment; the constant temperature difference mode indicates that the smart valve is not controlled by the control signal, and the valve opening is adjusted according to the relationship between the supply and return water temperature difference obtained by the real-time measurement of the supply and return water temperature and the preset temperature difference; the constant return water temperature mode indicates that the smart valve is not controlled by the control signal, and includes cooling condition adjustment and heating condition adjustment.

[0093] like Figure 6 As shown, it is an opening control variation diagram provided in an embodiment of the present application. The electric regulating valve mode adjusts the valve opening according to the control signal (ie, DDC analog signal or network signal) through the electric actuator.

[0094] like Figure 7 As shown, it is a flow control change diagram provided in an embodiment of the present application. The specific execution steps of the flow mode (electronic integrated valve mode) are as follows: ① The electric actuator adjusts the valve flow according to the control signal; ② Measure the actual flow: collect the water flow through the flow sensor, the electric actuator reads the preset flow of the valve corresponding to the control signal, and converts the current real-time water flow into a feedback value that matches the DDC given signal (here the flow range of the feedback signal is the value corresponding to the flow setting limit); ③ The electric actuator compares the measured flow with the preset flow and adjusts the valve opening until the measured flow is equal to the preset flow; ④ Upload the control signal corresponding to the measured flow to the DDC.

[0095] like Figure 8As shown, it is the opening degree + minimum temperature difference variation diagram provided by the embodiment of the present application. The specific execution steps of the position + temperature difference mode are as follows: when the electric actuator receives the minimum control signal and no signal, the valve is on standby. When the control signal of a valid value is received again in the standby state, the valve adjusts the opening degree according to the control signal; after a preset duration (i.e. 30 minutes), the measured temperature difference is compared with the set temperature difference. The set temperature difference (i.e. ΔT) includes the cooling temperature difference and the heating temperature difference. The cooling temperature difference is set to 5°C and the heating temperature difference is set to 10°C:

[0096] ① The measured temperature difference is ≥ the set temperature difference + (- deviation), and the intelligent water valve receives the DDC analog signal or network signal to control the opening;

[0097] ② When the measured temperature difference is less than the set temperature difference + (+ deviation), the intelligent water valve adjusts the opening according to the temperature difference control logic and is not controlled by the external DDC analog signal;

[0098] ③ The measured temperature difference ≥ the set temperature difference + (- deviation), the intelligent water valve receives the DDC analog signal or network signal to control the opening;

[0099] ④ When the measured temperature difference is less than the set temperature difference + (+ deviation), the intelligent water valve adjusts the opening according to the temperature difference control logic and is not controlled by external control signals.

[0100] Among them, ③ and ④ are the cycles of ① and ②.

[0101] It should be added that the judgment method of standby mode includes: analog quantity receives minimum control signal: [0-10V] corresponds to 0V, [2-10V] corresponds to 2V, and a dead zone of 1% is given to avoid oscillation; analog quantity has no signal: [2-10V], [4-20mA] analog quantity minimum signal and analog quantity no signal are both considered to be standby mode, and a dead zone of 1% is reserved to avoid oscillation (the dead zone of the actuator and valve are both set to 0.5%).

[0102] like Fig. 9 As shown, it is a flow rate + minimum temperature difference change diagram provided by an embodiment of the present application. The specific execution steps of the flow rate + temperature difference mode are as follows: when the electric actuator receives the minimum control signal or no signal, the intelligent water valve is adjusted to the standby state; when a control signal with a valid value is received again in the standby state, the intelligent water valve adjusts the flow rate according to the control signal, and compares the measured temperature difference with the set temperature difference after a preset duration:

[0103] ① The measured temperature difference is ≥ the set temperature difference + (- deviation), and the intelligent water valve receives the control signal to control the flow;

[0104] ② When the measured temperature difference is less than the set temperature difference + (+ deviation), the intelligent water valve adjusts the flow rate according to the temperature difference control logic and is not controlled by external control signals;

[0105] ③ The measured temperature difference ≥ the set temperature difference + (- deviation), the intelligent water valve receives the control signal to control the flow;

[0106] ④ When the measured temperature difference is less than the set temperature difference + (+ deviation), the intelligent water valve adjusts the flow rate according to the temperature difference control logic and is not controlled by external control signals.

[0107] Among them, ③ and ④ are the cycles of ① and ②.

[0108] like Fig.10 As shown, it is a refrigeration condition opening degree + return water temperature variation diagram provided in an embodiment of the present application, and the position + return water temperature mode includes refrigeration condition adjustment and heating condition adjustment;

[0109] The execution steps of the refrigeration condition adjustment are as follows: when the electric actuator receives the minimum control signal or no signal, the intelligent water valve is adjusted to the standby state; when the analog control signal with a valid value is received again in the standby state, the intelligent water valve adjusts the opening according to the control signal, and compares the measured return water temperature with the set return water temperature after the preset duration:

[0110] ① The measured return water temperature ≥ the set return water temperature + (- deviation), the intelligent water valve receives the DDC analog signal or network signal to control the opening;

[0111] ② When the measured return water temperature is less than the set return water temperature + (+ deviation), the intelligent water valve adjusts the opening according to the return water temperature control logic and is not controlled by external DDC analog signals or network signals;

[0112] ③ The measured return water temperature ≥ the set return water temperature + (- deviation), the intelligent water valve receives the DDC analog signal or network signal to control the opening;

[0113] ④ When the measured return water temperature is less than the set return water temperature + (+ deviation), the intelligent water valve adjusts the opening according to the return water temperature control logic and is not controlled by external DDC analog signals or network signals.

[0114] What needs to be understood is that ③ and ④ are cycles of ① and ②.

[0115] like Fig.11 As shown, it is a heating condition opening degree + return water temperature variation diagram provided by the embodiment of the present application. The specific execution steps of the heating condition adjustment can be obtained similarly: when the electric actuator receives the minimum control signal or no signal, the intelligent water valve is adjusted to the standby state; when the analog control signal or network signal with a valid value is received again in the standby state, the intelligent water valve adjusts the opening degree according to the control signal, and compares the measured return water temperature with the set return water temperature after the preset duration:

[0116] ① The measured return water temperature is ≤ the set return water temperature + (+ deviation), and the intelligent water valve receives the DDC analog signal or network signal to control the opening;

[0117] ② The measured return water temperature is greater than the set return water temperature + (- deviation). The intelligent water valve adjusts the opening according to the return water temperature control logic and is not controlled by external DDC analog signals or network signals.

[0118] ③ The measured return water temperature is ≤ the set return water temperature + (+ deviation), and the intelligent water valve receives the DDC analog signal or network signal to control the opening;

[0119] ④ The measured return water temperature is greater than the set return water temperature + (- deviation). The intelligent water valve adjusts the opening according to the return water temperature control logic and is not controlled by external DDC analog signals or network signals.

[0120] What needs to be understood is that ③ and ④ are cycles of ① and ②.

[0121] like Fig.12 As shown, it is a flow rate + return water temperature change diagram of the cooling condition provided in the embodiment of the present application, and the flow rate + return water temperature mode includes cooling condition adjustment and heating condition adjustment;

[0122] The execution steps of the refrigeration condition adjustment are as follows: when the electric actuator receives the minimum control signal or no signal, the intelligent water valve is adjusted to the standby state; when the control signal with a valid value is received again in the standby state, the intelligent water valve adjusts the flow according to the control signal, and compares the measured return water temperature with the set return water temperature after the preset duration:

[0123] ① The measured return water temperature is ≥ the set return water temperature + (- deviation), and the intelligent water valve receives the DDC analog signal or network signal to control the flow;

[0124] ② When the measured return water temperature is less than the set return water temperature + (+ deviation), the intelligent water valve adjusts the flow rate according to the return water temperature control logic and is not controlled by external DDC analog signals or network signals;

[0125] ③ The measured return water temperature ≥ the set return water temperature + (- deviation), the intelligent water valve receives the DDC analog signal or network signal to control the flow;

[0126] ④ When the measured return water temperature is less than the set return water temperature + (+ deviation), the intelligent water valve adjusts the flow rate according to the return water temperature control logic and is not controlled by external control signals.

[0127] What needs to be understood is that ③ and ④ are cycles of ① and ②.

[0128] like Fig.13As shown, it is a flow rate + return water temperature variation diagram of the heating condition provided in the embodiment of the present application, and the flow rate + return water temperature mode includes cooling condition adjustment and heating condition adjustment;

[0129] The execution steps of the refrigeration condition adjustment are as follows: when the electric actuator receives the minimum control signal or no signal, the intelligent water valve is adjusted to the standby state; when the control signal with a valid value is received again in the standby state, the intelligent water valve adjusts the flow according to the control signal, and compares the measured return water temperature with the set return water temperature after the preset duration:

[0130] ① The measured return water temperature is ≤ the set return water temperature + (+ deviation), and the intelligent water valve receives the DDC analog signal or network signal to control the flow;

[0131] ② The measured return water temperature is greater than the set return water temperature + (- deviation). The intelligent water valve adjusts the flow rate according to the return water temperature control logic and is not controlled by external DDC analog signals or network signals.

[0132] ③ The measured return water temperature is ≤ the set return water temperature + (+ deviation), and the intelligent water valve receives the DDC analog signal or network signal to control the flow;

[0133] ④ The measured return water temperature is greater than the set return water temperature + (- deviation). The intelligent water valve adjusts the flow rate according to the return water temperature control logic and is not controlled by external DDC analog signals or network signals.

[0134] What needs to be understood is that ③ and ④ are cycles of ① and ②.

[0135] like Fig.14 As shown, it is a constant temperature difference control change diagram provided in an embodiment of the present application. The specific execution steps of the constant temperature difference mode are as follows: the intelligent water valve is not controlled by a control signal, the supply and return water temperatures are measured in real time, the temperature difference is calculated and compared with the preset temperature difference, the valve opening is adjusted, and the supply and return water temperature difference is constant.

[0136] like Fig.15 As shown, it is a constant return water temperature control variation diagram provided in an embodiment of the present application, and the constant return water temperature mode includes cooling condition adjustment and heating condition adjustment;

[0137] It should be noted that the intelligent water valve is not controlled by the control signal. It measures the return water temperature in real time and compares it with the preset temperature to adjust the valve opening to maintain a constant return water temperature.

[0138] The execution steps of refrigeration condition adjustment are as follows:

[0139] When the measured return water temperature is less than the set return water temperature + (- deviation), the intelligent water valve adjusts (reduces) the flow rate according to the return water temperature control logic and is not controlled by external DDC analog signals or network signals;

[0140] When the measured return water temperature is greater than the set return water temperature + (deviation), the intelligent water valve adjusts (increases) the flow rate according to the return water temperature control logic and is not controlled by external DDC analog signals or network signals.

[0141] If the set return water temperature + (- deviation) < measured return water temperature < set return water temperature + (deviation), the smart water valve will remain in the current state;

[0142] The steps for adjusting the heating condition are as follows:

[0143] The measured return water temperature is less than the set return water temperature + (- deviation). The intelligent water valve adjusts (opens) the valve flow according to the return water temperature control logic until the temperature reaches within the set value deviation range.

[0144] The measured return water temperature is greater than the set return water temperature + (deviation). The intelligent water valve adjusts (reduces) the valve flow rate according to the return water temperature control logic until the temperature reaches within the set value deviation range.

[0145] If the set return water temperature + (- deviation) < measured return water temperature < set return water temperature + (deviation), the smart water valve remains in the current state.

[0146] In addition, energy modes are included, such as Fig.16 As shown, it is an energy control change diagram provided in an embodiment of the present application. The energy mode indicates that the electric actuator adjusts the energy of the smart water valve according to the control signal.

[0147] It should be added that the intelligent water valve control mode also includes a pressure difference mode, such as Fig.17 As shown, it is a pressure difference control variation diagram provided by an embodiment of the present application. The specific execution steps of the pressure difference mode are as follows: when the electric actuator receives the minimum control signal or no signal, the intelligent water valve is adjusted to the standby state. When a control signal with a valid value is received again in the standby state, the intelligent water valve adjusts the opening according to the control signal. After a preset duration, the measured pressure difference is compared with the set pressure difference:

[0148] ① The measured pressure difference is ≤ the set pressure difference + (- deviation), and the intelligent water valve receives the DDC analog signal control or network signal opening;

[0149] ② When the measured pressure difference is greater than the set pressure difference + (+ deviation), the intelligent water valve adjusts the opening according to the pressure difference control logic and is not controlled by external DDC analog signals or network signals;

[0150] ② The measured pressure difference > the set pressure difference + (+ deviation), the intelligent water valve receives the DDC analog signal control or network signal opening;

[0151] ③ The measured pressure difference is ≤ the set pressure difference + (- deviation), and the intelligent water valve receives the DDC analog signal control or network signal opening;

[0152] ④ When the measured pressure difference is greater than the set pressure difference + (+ deviation), the intelligent water valve adjusts the opening according to the pressure difference control logic and is not controlled by external DDC analog signals or network signals;

[0153] What needs to be understood is that ③ and ④ are cycles of ① and ②.

[0154] The embodiment of the present application also provides a water outlet control system for an intelligent water valve, including a water outlet prediction module, an intelligent water valve adjustment evaluation module and a water outlet control effect evaluation module; wherein the water outlet prediction module is used to collect real-time water outlet data corresponding to each intelligent water valve control mode within a preset time period, and combine the historical water outlet data under the intelligent water valve control mode corresponding to the corresponding historical time period to obtain a water outlet prediction index to adjust the valve opening, the intelligent water valve control mode is used to adjust the valve opening according to a control signal, the control signal includes a DDC analog signal and a network signal, and the water outlet prediction index is used to quantify the degree of change in the user's water demand within a preset time period; the intelligent water valve adjustment evaluation module It is used to obtain the intelligent water valve adjustment evaluation index according to the real-time water consumption data and real-time return water data corresponding to the user's water use, and judge whether to switch the intelligent water valve control mode based on the intelligent water valve adjustment evaluation index. The intelligent water valve adjustment evaluation index is used to quantify the degree of matching between the current intelligent water valve control mode and user needs according to the real-time water consumption situation; the water outlet control effect evaluation module is used to obtain the water outlet control effect evaluation index according to the water outlet prediction index, the intelligent water valve adjustment evaluation index and the water consumption feedback data of the next preset time period, and take water outlet control adjustment measures based on the water outlet control effect evaluation index. The water outlet control effect evaluation index is used to quantify the degree of compliance between water outlet control and user water demand.

[0155] In this embodiment, through real-time collected data and user water usage feedback data, the system can timely adjust the valve opening of the smart water valve to ensure that the water outlet temperature and water outlet flow rate are more in line with the user's water demand, avoiding problems such as overcooling, overheating or insufficient water supply, thereby improving the effectiveness of the water outlet control of the smart water valve.

[0156] The embodiment of the present application also provides a device for a water outlet control method applied to an intelligent water valve, characterized in that it includes a data acquisition device, a storage device and a processing device; wherein the data acquisition device is used to collect real-time water outlet data, real-time water use data, real-time return water data and water use feedback data, and the data acquisition device includes a pressure sensor, a temperature sensor, a flow sensor, a flow velocity sensor and an angle sensor; the storage device is used to store real-time water outlet data, real-time water use data, real-time return water data and water use feedback data, and also includes the storage of corresponding historical data; the processing device is used to perform water outlet control of the intelligent water valve according to the data stored in the storage device and take water outlet control adjustment measures.

[0157] To summarize, the embodiment of the present application collects real-time water outlet data corresponding to each intelligent water valve control mode, and combines the corresponding historical water outlet data to obtain a water outlet prediction index to adjust the valve opening, then obtains the intelligent water valve adjustment evaluation index according to the real-time water usage data and the real-time return water data, and determines whether to switch the intelligent water valve control mode, and finally obtains the water outlet control effect evaluation index according to the water outlet prediction index, the intelligent water valve adjustment evaluation index and the water usage feedback data to take water outlet control adjustment measures, thereby more accurately responding to the user's water demand, and further improving the effectiveness of the intelligent water valve water outlet control, and effectively solving the problem of insufficient correlation between the water outlet control of the intelligent water valve and the user demand in the prior art.

[0158] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0159] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0160] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0161] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0162] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0163] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A water outlet control method for an intelligent water valve, characterized in that: The following steps are involved: Collect the real-time water output data corresponding to each intelligent water valve control mode within a preset time period, and combine the corresponding historical water output data to obtain a water output prediction index to adjust the valve opening. The water output prediction index is used to quantify the degree of change in the user's water demand within the preset time period; According to the real-time water consumption data and real-time return water data corresponding to the user's water consumption, the intelligent water valve adjustment evaluation index is obtained, and whether to switch the intelligent water valve control mode is determined based on the intelligent water valve adjustment evaluation index. The intelligent water valve adjustment evaluation index is used to quantify the matching degree between the current intelligent water valve control mode and the user's needs according to the real-time water consumption situation; A water outlet control effect evaluation index is obtained according to the water outlet prediction index, the intelligent water valve adjustment evaluation index and the water consumption feedback data of the next preset time period. Water outlet control adjustment measures are taken based on the water outlet control effect evaluation index. The water outlet control effect evaluation index is used to quantify the degree of compliance of water outlet control with user water demand.

2. A water outlet control method for an intelligent water valve as claimed in claim 1, characterized in that: The real-time water output data includes real-time water pressure, real-time water temperature, real-time water flow and real-time valve opening; The historical water output data includes historical average water pressure, historical average water temperature, historical average water flow and historical average valve opening; The real-time water use data includes water flow and water temperature; The real-time return water data includes real-time return water temperature, real-time return water flow, real-time return water pressure and real-time return water flow rate; The real-time water output data is represented by the result of averaging the water output data collected at a preset collection frequency within a preset time period; The real-time return water data is represented by the result of averaging the return water data collected at a preset collection frequency within a preset time period; The water use feedback data includes actual water use temperature and actual water use flow rate.

3. A water outlet control method for an intelligent water valve as claimed in claim 2, characterized in that: The specific process of obtaining the water output prediction index is as follows: Number the preset time periods and obtain real-time and historical water output data; The water output prediction index is obtained according to the relative deviation results between the real-time water output data and the historical water output data, wherein the relative deviation results include the relative deviation of water pressure, the relative deviation of water temperature, the relative deviation of flow rate and the relative deviation of opening degree; The relative deviation of water pressure is obtained by calculating the ratio of the absolute value of the difference between the real-time water pressure and the historical average water pressure to the historical average water pressure; The relative deviation of water temperature is obtained by calculating the ratio of the absolute value of the difference between the real-time water temperature and the historical average water temperature to the historical average water temperature; The relative flow deviation is obtained by calculating the ratio of the absolute value of the difference between the real-time water flow and the historical average water flow to the historical average water flow; The relative opening deviation is obtained by performing a ratio operation on the absolute value of the difference between the real-time valve opening and the historical average valve opening and the historical average valve opening.

4. A water outlet control method for an intelligent water valve as claimed in claim 2, characterized in that: The specific process of obtaining the intelligent water valve adjustment evaluation index is as follows: Acquire reference water use data from a preset database, wherein the reference water use data includes a preset water temperature and a preset water flow rate; Acquire reference return water data from a preset database, wherein the reference return water data includes a reference return water temperature, a reference range of return water flow, a reference range of return water pressure, and a reference range of return water flow rate; Based on the real-time backwater flow, the real-time backwater pressure and the real-time backwater flow rate and the corresponding reference backwater data, a real-time backwater index is obtained, wherein the real-time backwater index includes a backwater flow index, a backwater pressure index and a backwater flow rate index; Acquire adjustment assessment weights from a preset database, wherein the adjustment assessment weights include water use assessment weights and return water assessment weights; The intelligent water valve adjustment evaluation index is obtained based on the water consumption data, the return water data, the reference water consumption data, the reference return water data and the adjustment evaluation weight; The method for obtaining the intelligent water valve adjustment evaluation index is as follows: Where t represents the number of the preset time period, t = 1, 2, ..., T, T represents the total number of preset time periods, Wf t Indicates the water flow rate in the tth preset time period, Wt t Indicates the water temperature in the tth preset time period, St t Indicates the real-time return water temperature of the tth preset time period, Wt t ′ represents the preset water temperature of the tth preset time period, Wf t ′ represents the preset water flow rate in the t-th preset time period, θ represents the water consumption assessment weight, ρ represents the return water assessment weight, St t ′ represents the reference return water temperature of the tth preset time period, Rf t Indicates the return flow index for the tth preset time period, Rp t Indicates the return water pressure index of the tth preset time period, Rr t Indicates the return flow rate index of the tth preset time period, Ia t Represents the smart water valve adjustment evaluation index for the tth preset time period.

5. A water outlet control method for an intelligent water valve as claimed in claim 4, characterized in that: The specific process of determining whether to switch the intelligent water valve control mode is as follows: Get the adjustment assessment threshold from the preset database and compare it with the smart water valve adjustment assessment index: If the smart water valve adjustment evaluation index is not less than the adjustment evaluation threshold, the current smart water valve control mode is maintained; If the smart water valve adjustment evaluation index is less than the adjustment evaluation threshold, the smart water valve control mode is switched.

6. A water outlet control method for an intelligent water valve as claimed in claim 2, characterized in that: The specific process of obtaining the water outlet control effect evaluation index is as follows: Acquire a control effect evaluation weight from a preset database, wherein the control effect evaluation weight includes a prediction weight and an adjustment weight; The acquired water consumption feedback data and the reference water consumption data are processed respectively and summed to obtain a feedback result, and an inverse hyperbolic sine operation is performed on the feedback result to obtain a first processing result; The second processing result is obtained by processing the water output prediction index, the intelligent water valve adjustment evaluation index and the corresponding control effect evaluation weight; A water outlet control effect evaluation index is obtained based on the first processing result and the second processing result.

7. A water outlet control method for an intelligent water valve as claimed in claim 6, characterized in that: The specific process of taking the water outlet control adjustment measures is as follows: Obtaining a water outflow control threshold from a preset database, wherein the water outflow control threshold is used to determine whether to take water outflow control adjustment measures; Compare the water discharge control threshold with the water discharge control effect evaluation index: If the water discharge control effect evaluation index is not less than the water discharge control threshold, no water discharge control adjustment measures will be taken; If the water discharge control effect evaluation index is less than the water discharge control threshold, water discharge control adjustment measures are taken; The water outlet control adjustment measures include a mixed temperature difference intelligent water valve control mode and maintenance warning.

8. A water outlet control method for an intelligent water valve as claimed in claim 1, characterized in that: The intelligent water valve control modes include electric regulating valve mode, flow mode, position + temperature difference mode, flow + temperature difference mode, position + return water temperature mode, flow + return water temperature mode, constant temperature difference mode and constant return water temperature mode; The electric regulating valve mode means that the electric actuator adjusts the valve opening according to the control signal; The flow mode means that the electric actuator adjusts the valve flow according to the control signal and adjusts the valve opening according to the relationship between the measured actual valve flow and the preset valve flow; The position+temperature difference mode means that the electric actuator adjusts the valve opening according to the control signal received in the standby state, and compares the measured temperature difference with the preset temperature difference after a preset duration, wherein the measured temperature difference represents the difference between the actual water temperature measured in real time and the set water temperature; The position+return water temperature mode includes cooling condition adjustment and heating condition adjustment; The flow rate + return water temperature mode includes cooling condition adjustment and heating condition adjustment; The constant temperature difference mode means that the valve opening is adjusted according to the relationship between the supply and return water temperature difference obtained by measuring the supply and return water temperatures in real time and the preset temperature difference.

9. A water outlet control system for an intelligent water valve, characterized in that: It includes water outflow prediction module, intelligent water valve adjustment evaluation module and water outflow control effect evaluation module; The water outflow prediction module is used to collect the real-time water outflow data corresponding to each intelligent water valve control mode within a preset time period, and obtain the water outflow prediction index in combination with the corresponding historical water outflow data to adjust the valve opening. The water outflow prediction index is used to quantify the degree of change in the user's water demand within the preset time period; The intelligent water valve adjustment evaluation module is used to obtain an intelligent water valve adjustment evaluation index according to the real-time water consumption data and real-time return water data corresponding to the user's water consumption, and judge whether to switch the intelligent water valve control mode based on the intelligent water valve adjustment evaluation index. The intelligent water valve adjustment evaluation index is used to quantify the matching degree between the current intelligent water valve control mode and the user's needs according to the real-time water consumption situation; The water outlet control effect evaluation module is used to obtain a water outlet control effect evaluation index based on the water outlet prediction index, the intelligent water valve adjustment evaluation index and the water consumption feedback data of the next preset time period, and to take water outlet control adjustment measures based on the water outlet control effect evaluation index. The water outlet control effect evaluation index is used to quantify the degree of compliance of water outlet control with user water demand.

10. A device using the water outlet control method for an intelligent water valve according to any one of claims 1 to 8, characterized in that: Including data acquisition equipment, storage equipment and processing equipment; The data acquisition device is used to collect real-time water output data, real-time water consumption data, real-time water return data and water consumption feedback data, and the data acquisition device includes a pressure sensor, a temperature sensor, a flow sensor, a flow velocity sensor and an angle sensor; The storage device is used to store real-time water output data, real-time water consumption data, real-time water return data and water consumption feedback data; The processing device is used to perform water outlet control of the intelligent water valve and take water outlet control adjustment measures according to the data stored in the storage device.

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