Intelligent valve control optimization method and system based on Internet of Things

Abstract

The present invention discloses an intelligent valve control optimization method and system based on the Internet of Things, which relates to the field of electronic digital data processing technology. First, the intelligent valve control end receives the control signal corresponding to the valve connected to the Internet of Things and makes a judgment, which can quickly and accurately identify and respond to system requirements. Then, the valve adjustment constraint parameters are extracted for analysis, and the influence of various factors on valve adjustment can be considered to ensure that the adjustment process is carried out under reasonable constraint conditions and reduce over-adjustment. Simultaneously, the valve opening adjustment process is tracked and sensed to monitor, which can timely detect possible abnormal situations and ensure that the adjustment process meets expectations. Finally, the valve opening adjustment verification monitoring results are obtained and the secondary adjustment control optimization execution judgment is performed, which can verify the accuracy of valve adjustment and improve the accuracy of valve opening adjustment, thereby optimizing the valve adjustment effect.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to an intelligent valve control optimization method and system based on the Internet of Things. Background Art

[0002] In the field of intelligent valve control optimization technology, data analysis technology can be used to analyze the data of intelligent valves. Since the valve opening and flow control of intelligent valves are easily affected by factors such as fluid pressure changes, data analysis is inaccurate, affecting the control stability and accuracy of the intelligent valve, resulting in inaccurate adjustment of the intelligent valve opening and flow, and may cause the intelligent valve to be unable to respond to load changes in a timely manner, affecting the overall production efficiency and the realization of intelligent valve control optimization goals.

[0003] The prior art, such as the invention patent announcement with announcement number: CN113435129B, discloses an optimization method, device, and cooling water valve for a cooling water valve control strategy, which includes obtaining original action data of the cooling water valve; constructing a state-action sequence data set of the cooling water valve based on the original action data; constructing a simulated environment model of a thermal power generator set through a reinforcement learning algorithm based on the state-action sequence data set; and performing optimization interaction on the cooling water valve control strategy model and the unit state transfer strategy model for a preset number of optimization iterations to obtain an optimized cooling water valve control strategy model.

[0004] The prior art, such as the invention patent announcement with announcement number: CN117131808B, discloses an intelligent control method for a pressure reducing valve, which relates to the field of data processing technology. The method monitors and analyzes the input pipe to be controlled to generate a steady-state correlation coefficient, performs graded pressure reduction constraints based on the output pressure calibration value, the input pressure calibration value, and the accuracy requirement, generates a pressure reducing valve configuration result, obtains an execution pressure reducing valve matching result based on the matching of the input pressure calibration value and the steady-state correlation coefficient, and obtains an initial pressure reducing valve based on the expanded result screening of the continuous monitoring result; determines the step-by-step configuration result based on the initial pressure reducing valve and the pressure reducing valve configuration result to complete the intelligent pressure reducing control.

[0005] Combined with the above scheme, it is found that currently in the field of intelligent valve control optimization technology, only the original data of the valve's controlled input pipe is monitored and analyzed, which cannot reduce the impact of factors such as fluid pressure changes on the stability of intelligent valve control. This will affect the control accuracy of the intelligent valve, resulting in inaccurate analysis results, affecting the response speed and stability of the intelligent valve control, and thus affecting the efficiency and reliability of the entire control system. Summary of the Invention

[0006] In response to the deficiencies in the prior art, the present invention provides an Internet of Things-based intelligent valve control optimization method and system, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the first aspect of the present invention is implemented through the following technical solutions: an intelligent valve control optimization method based on the Internet of Things, including an intelligent valve control end receiving a control signal corresponding to a valve connected to the Internet of Things and making a judgment. If the control signal is a minimum control signal, the valve is controlled by an electric actuator to enter a standby state. If the control signal is a valid control signal, the valve adjustment constraint parameters are monitored and obtained.

[0008] The intelligent valve control end extracts the valve's adjustment constraint parameters for analysis to obtain the valve's adjustment index value.

[0009] According to the valve adjustment index value, the corresponding execution opening of the valve is obtained and the valve opening is adjusted. The valve opening adjustment process is tracked and monitored simultaneously, thereby performing real-time optimization control of the valve opening adjustment.

[0010] When the valve opening adjustment is terminated, the intelligent valve control end starts the adjustment verification signal and verifies and monitors the valve opening adjustment state, obtains the valve opening adjustment verification monitoring result and performs secondary adjustment control optimization execution judgment.

[0011] Furthermore, the adjustment constraint parameters of the valve include an initially measured flow rate of the fluid, an initially measured temperature of the fluid, and an initially measured pressure of the fluid in the first monitoring area of the valve.

[0012] Furthermore, the adjustment constraint parameters of the valve are extracted for analysis. The specific process is: extracting the initial measured flow rate, initial measured temperature and initial measured pressure of the fluid in the first monitoring area of the valve for comprehensive analysis to obtain the adjustment index value of the valve, and obtaining the corresponding execution opening of the valve according to the matching of the adjustment index value of the valve.

[0013] Furthermore, the execution opening corresponding to the valve is obtained and the valve opening is adjusted. The specific process is: based on the mapping set between each adjustment index value interval and the execution opening pre-constructed in the valve adjustment database, the adjustment index value of the valve is input, the interval in which the adjustment index value of the valve is located is matched, and the execution opening corresponding to the adjustment index value of the valve is obtained through the mapping set, which is recorded as the execution opening corresponding to the valve, and the valve opening is adjusted according to the execution opening corresponding to the valve.

[0014] Furthermore, the synchronous tracking, sensing and monitoring of the valve opening adjustment process is specifically analyzed as follows: tracking, sensing and monitoring of the valve opening adjustment process are performed to obtain pre-set valve opening sensing parameters of the first monitoring area and the second monitoring area, wherein the opening sensing parameters include fluid flow rate, fluid pressure and fluid resistance.

[0015] A comprehensive analysis is performed on the opening sensing parameters of the first monitoring area of the valve and the second monitoring area of the valve to obtain the valve opening adjustment speed correction index value, and the valve opening execution speed is adjusted according to the valve opening adjustment speed correction index value.

[0016] Furthermore, the valve opening adjustment state is verified and monitored, and the specific process is: when the valve opening adjustment is terminated, the intelligent valve control end starts the adjustment verification signal, collects the valve opening, fluid average flow rate, response time and fluid average pressure after the opening adjustment, and conducts a comprehensive analysis to obtain the valve opening adjustment state evaluation value.

[0017] Furthermore, the specific process of obtaining the valve opening adjustment verification monitoring result is as follows: the valve opening adjustment verification monitoring result includes the opening adjustment being qualified and the opening adjustment being unqualified.

[0018] The valve opening adjustment state evaluation value is compared with the set opening adjustment state evaluation threshold. If the valve opening adjustment state evaluation value is higher than or equal to the set opening adjustment state evaluation threshold, the valve opening adjustment verification monitoring result is marked as qualified opening adjustment. If the valve opening adjustment state evaluation value is lower than the set opening adjustment state evaluation threshold, the valve opening adjustment verification monitoring result is marked as unqualified opening adjustment, thereby obtaining the valve opening adjustment verification monitoring result.

[0019] Furthermore, the secondary regulation control optimization execution judgment is performed, and the specific process is: extracting the valve opening regulation verification monitoring result; if the valve opening regulation verification monitoring result is marked as unqualified opening regulation, then extracting the difference between the opening regulation state evaluation threshold and the valve opening regulation state evaluation value, recording it as the valve opening regulation correction index value; according to the valve opening regulation correction index value, the secondary regulation control execution opening corresponding to the valve is obtained, and the valve is adjusted according to the secondary regulation control execution opening corresponding to the valve.

[0020] Furthermore, the specific analysis conditions for the adjustment index value of the valve are:

[0021] In the formula, α represents the adjustment index value of the valve, A1 represents the initial measured flow rate of the fluid in the first monitoring area of the valve, ΔA1 represents the set reference initial measured flow rate of the fluid, μ1 represents the weight factor corresponding to the set initial measured flow rate of the fluid, A2 represents the initial measured temperature of the fluid in the first monitoring area of the valve, ΔA2 represents the set reference initial measured temperature of the fluid, μ2 represents the weight factor corresponding to the set initial measured temperature of the fluid, A3 represents the initial measured pressure of the fluid in the first monitoring area of the valve, ΔA3 represents the set reference initial measured fluid pressure, μ3 represents the weight factor corresponding to the set initial measured pressure of the fluid, and e represents a natural constant.

[0022] The second aspect of the present invention provides an intelligent valve control optimization system based on the Internet of Things, including: a control signal judgment module, which is used for the intelligent valve control end to receive the control signal corresponding to the valve connected to the Internet of Things and make a judgment. If the control signal is the minimum control signal, the valve is controlled by the electric actuator to enter the standby state. If the control signal is a valid control signal, the adjustment constraint parameters of the valve are monitored and obtained.

[0023] The opening adjustment analysis module is used for the intelligent valve control end to extract the valve adjustment constraint parameters for analysis and obtain the valve adjustment index value.

[0024] The adjustment process analysis module is used to obtain the corresponding execution opening of the valve according to the adjustment index value of the valve and adjust the valve opening. It is also used to track the valve opening adjustment process through sensing and monitoring, thereby performing real-time optimization control of the valve opening adjustment.

[0025] The adjustment state verification module is used to start the adjustment verification signal at the intelligent valve control end when the valve opening adjustment is terminated, and verify and monitor the valve opening adjustment state, obtain the valve opening adjustment verification monitoring result and perform secondary adjustment control optimization execution judgment.

[0026] The present invention has the following beneficial effects:

[0027] (1) The present invention provides an intelligent valve control optimization method and system based on the Internet of Things. First, the valve adjustment constraint parameters are extracted and analyzed, which helps to improve the accuracy of valve opening adjustment. The valve opening adjustment process is tracked and sensed and monitored simultaneously to ensure the accurate execution of the opening adjustment process and optimize the valve control process. Finally, the intelligent valve control end starts the adjustment verification signal and verifies and monitors the valve opening adjustment state, which can improve the stability of the valve working state.

[0028] (2) The present invention obtains the valve adjustment index value by analysis, and can obtain and evaluate the operating status and performance of the valve in real time, improve the accuracy of valve opening adjustment, reduce the adjustment lag, error and instability problems that may occur in traditional methods, and adjust the valve opening according to the adjustment index value, which can reduce the mechanical damage caused by excessive adjustment or frequent operation of the valve, thereby reducing valve wear, extending the service life of the equipment, and reducing maintenance costs and downtime, optimizing fluid flow control, and reducing energy waste.

[0029] (3) The present invention can accurately control the opening speed of the valve by performing real-time optimization control of the valve opening adjustment, reduce fluid pressure fluctuations or flow instability caused by improper adjustment speed, ensure the stable operation of the entire valve, reduce the frequency of faults, and optimize the adjustment of the valve in real time. It can improve the precision and intelligence of the valve automation control, reduce dependence on manual operation, and improve the degree of automation and safety in the valve adjustment process.

[0030] (4) The present invention obtains the valve opening adjustment verification monitoring results through analysis and performs secondary adjustment control optimization execution judgment, which can compensate and optimize the valve opening adjustment more accurately, reduce the deviation caused by the mechanical error of the valve, and thus ensure that the valve opening always accurately reaches the set value. At the same time, it can timely correct the errors or deviations that may exist in the initial adjustment, reduce the situation where the valve opening fluctuates too much, and thus maintain the smooth operation of the valve flow.

[0031] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 Schematic diagram of the method of the present invention.

[0033] Figure 2 Schematic diagram of module connection of the present invention.

[0034] Figure 3 This is an example diagram of the change in the valve's adjustment index value as the initial measured flow rate of the fluid in the first monitoring area of the valve changes. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0036] See also Figure 1 As shown, the first aspect of the embodiment of the present invention provides a technical solution: an intelligent valve control optimization method based on the Internet of Things, including an intelligent valve control end receiving a control signal corresponding to a valve connected to the Internet of Things and making a judgment. If the control signal is a minimum control signal, the valve is controlled by an electric actuator to enter a standby state. If the control signal is a valid control signal, the adjustment constraint parameters of the valve are monitored and obtained.

[0037] The intelligent valve control end extracts the valve's adjustment constraint parameters for analysis to obtain the valve's adjustment index value.

[0038] According to the valve adjustment index value, the corresponding execution opening of the valve is obtained and the valve opening is adjusted. The valve opening adjustment process is tracked and monitored simultaneously, thereby performing real-time optimization control of the valve opening adjustment.

[0039] When the valve opening adjustment is terminated, the intelligent valve control end starts the adjustment verification signal and verifies and monitors the valve opening adjustment state, obtains the valve opening adjustment verification monitoring result and performs secondary adjustment control optimization execution judgment.

[0040] Specifically, the adjustment constraint parameters of the valve include an initially measured flow rate of the fluid, an initially measured temperature of the fluid, and an initially measured pressure of the fluid in the first monitoring area of the valve.

[0041] It should be added that the initial measured flow rate of the fluid in the first monitoring area of the valve represents the initial speed of the fluid passing through the valve. Usually, a flow rate sensor can be used to directly measure the speed of the fluid to obtain the initial flow rate of the fluid. The initial measured temperature of the fluid in the first monitoring area of the valve refers to the initial temperature of the fluid when it flows through the valve. A resistance temperature detector installed in the first monitoring area of the valve can be used to directly measure the temperature of the fluid to obtain the initial measured temperature of the fluid. The initial measured pressure of the fluid in the first monitoring area of the valve refers to the initial value of the pressure of the fluid in the valve. The initial pressure value of the valve can be directly measured by a pressure gauge installed in the first monitoring area of the valve.

[0042] Specifically, the adjustment constraint parameters of the valve are extracted for analysis. The specific process is: the initial measured flow rate, initial measured temperature and initial measured pressure of the fluid in the first monitoring area of the valve are extracted for comprehensive analysis to obtain the adjustment index value of the valve, and the corresponding execution opening of the valve is obtained according to the matching of the adjustment index value of the valve.

[0043] In this embodiment, the valve adjustment index value represents a numerical quantification result of the valve opening adjustment obtained by analyzing the valve adjustment constraint parameters, and is used to comprehensively quantify the control effect of the valve on the fluid flow rate.

[0044] Specifically, the valve adjustment index value and specific analysis conditions are as follows:

[0045]

[0046] In the formula, α represents the adjustment index value of the valve, A1 represents the initial measured flow rate of the fluid in the first monitoring area of the valve, ΔA1 represents the set reference initial measured flow rate of the fluid, μ1 represents the weight factor corresponding to the set initial measured flow rate of the fluid, A2 represents the initial measured temperature of the fluid in the first monitoring area of the valve, ΔA2 represents the set reference initial measured temperature of the fluid, μ2 represents the weight factor corresponding to the set initial measured temperature of the fluid, A3 represents the initial measured pressure of the fluid in the first monitoring area of the valve, ΔA3 represents the set reference initial measured fluid pressure, μ3 represents the weight factor corresponding to the set initial measured pressure of the fluid, and e represents a natural constant.

[0047] In a specific embodiment, Table 1 shows the initial measured flow rate, initial measured temperature, and initial measured pressure of the fluid in the first monitoring area of different valves and the corresponding adjustment index values. In this embodiment, the weight factor corresponding to the initial measured flow rate of the fluid is 0.5, the weight factor corresponding to the initial measured temperature of the fluid is 0.2, and the weight factor corresponding to the initial measured pressure of the fluid is 0.3. The reference fluid initial measured flow rate is 0.2 m / s, the reference initial measured fluid temperature is 23°C, and the reference initial measured fluid pressure is 15 Pa. Table 1 The initial measured flow rate, initial measured temperature, and initial measured pressure of the fluid in the first monitoring area of different valves and the corresponding adjustment index values

[0048]

[0049] It should be explained that in Table 1, as the absolute value of the difference between the initial measured flow rate of the fluid in the first monitoring area of the valve and the initial measured flow rate of the reference fluid, the absolute value of the difference between the initial measured temperature of the fluid and the initial measured temperature of the reference fluid, and the absolute value of the difference between the initial measured pressure of the fluid and the initial measured pressure of the reference fluid increase, the regulation index value increases accordingly. Table 1 lists the initial measured flow rate of the fluid, the initial measured temperature of the fluid and the initial measured pressure of the fluid in the first monitoring area of 4 different valves and the corresponding regulation index values, and provides the degree of influence of the initial measured flow rate, initial measured temperature of the fluid and the initial measured pressure of the fluid in the first monitoring area of different valves on the regulation index value. The regulation index value comprehensively considers the initial measured flow rate of the fluid, the initial measured temperature of the fluid and the initial measured pressure of the fluid in the first monitoring area of the valve, and provides data support for the evaluation of the regulation index value of the valve.

[0050] What needs to be explained is that Figure 3 This is an example diagram of the valve adjustment index value changing with the initial measured flow rate of the fluid in the first monitoring area of the valve, such as Figure 3As shown, the horizontal axis represents the initial measured flow rate of the fluid in the first monitoring area of the valve, and the vertical axis represents the adjustment index value of the valve. In this embodiment, the weight factor corresponding to the initial measured flow rate of the fluid is 0.5, the weight factor corresponding to the initial measured temperature of the fluid is 0.2, and the weight factor corresponding to the initial measured pressure of the fluid is 0.3. The reference fluid initial measured flow rate is 0.2m / s, the reference initial measured fluid temperature is 23°C, the reference initial measured fluid pressure is 15Pa, and the fluid initial measured pressure in the first monitoring area of the valve is 15Pa. Three different groups of example parameters are defined in the figure, corresponding to different situations of the three curves, respectively represented by solid lines, dashed lines and dotted lines, and the corresponding curve labels are a, b, and c.

[0051] It should be explained that when the initial measured temperature of the fluid in the first monitoring area of the valve is 23°C, the functional relationship image between the initial measured flow rate of the fluid in the first monitoring area of the valve and the adjustment index value is shown as curve a. When the initial measured temperature of the fluid in the first monitoring area of the valve is 25°C, the functional relationship image between the initial measured flow rate of the fluid in the first monitoring area of the valve and the adjustment index value is shown as curve b. When the initial measured temperature of the fluid in the first monitoring area of the valve is 27°C, the functional relationship image between the initial measured flow rate of the fluid in the first monitoring area of the valve and the adjustment index value is shown as curve c. The adjustment index value of the valve increases with the increase of the absolute value of the difference between the initial measured flow rate of the fluid in the first monitoring area of the valve and the initial measured flow rate of the reference fluid. When the absolute value of the difference between the initial measured temperature of the fluid in the first monitoring area of the valve and the initial measured temperature of the reference fluid increases, the adjustment index value of the valve increases accordingly. The adjustment index value of the valve can be obtained quickly and accurately through the curve, which solves the problem in the existing technology that the adjustment index value of the valve cannot be accurately analyzed due to the lack of detailed analysis process, thereby realizing precise adjustment of the valve.

[0052] It should be noted that the smaller the absolute value of the difference between the initial measured flow rate of the fluid in the first monitoring area of the valve and the initial measured flow rate of the reference fluid, the more stable the flow control of the fluid is, the smaller the valve adjustment index value, the smaller the absolute value of the difference between the initial measured temperature of the fluid and the initial measured temperature of the reference fluid, the more the fluid temperature is in line with expectations, the smaller the opening that the valve needs to be adjusted, the smaller the valve adjustment index value, the smaller the absolute value of the difference between the initial measured pressure of the fluid and the initial measured pressure of the reference fluid, the smaller the pressure fluctuation of the fluid controlled by the valve when passing through the valve, and the smaller the valve adjustment index value.

[0053] It should be added that, in this embodiment, the preset weighting factors corresponding to the initial measured flow rate of the fluid, the initial measured temperature of the fluid, and the initial measured pressure of the fluid are obtained from the valve adjustment database.

[0054] It should be explained that the weight factor corresponding to the initial measured flow rate of the fluid represents the numerical value of the influence of the initial measured flow rate of the fluid in the first monitoring area of the valve on the adjustment index value, the weight factor corresponding to the initial measured temperature of the fluid in the first monitoring area of the valve represents the numerical value of the influence of the initial measured temperature of the fluid in the first monitoring area of the valve on the adjustment index value, and the weight factor corresponding to the initial measured pressure of the fluid in the first monitoring area of the valve represents the numerical value of the influence of the initial measured pressure of the fluid in the first monitoring area of the valve on the adjustment index value. These corresponding relationships are pre-set mapping relationships. For example, the initial measured flow rate of the fluid in the first monitoring area of the valve and the weight factors corresponding to the preset initial measured flow rates of the fluid obtained from the valve adjustment database form a mapping set. The real-time initial measured flow rate of the fluid in the first monitoring area of the valve is input into the mapping set to obtain the valve initial measured flow rate. The weight factor corresponding to the initial measured flow rate of the fluid in the first monitoring area of the valve, the weight factor corresponding to the initial measured temperature of the fluid in the first monitoring area of the valve and the preset initial measured temperature of the fluid in the first monitoring area of the valve obtained in the valve regulation database form a mapping set, the real-time initial measured temperature of the fluid in the first monitoring area of the valve is input into the mapping set to obtain the weight factor corresponding to the initial measured temperature of the fluid in the first monitoring area of the valve, the weight factor corresponding to the initial measured pressure of the fluid in the first monitoring area of the valve and the preset initial measured pressure of the fluid in the first monitoring area of the valve obtained in the valve regulation database form a mapping set, the real-time initial measured pressure of the fluid in the first monitoring area of the valve is input into the mapping set to obtain the weight factor corresponding to the initial measured pressure of the fluid in the first monitoring area of the valve.

[0055] It should be added that there is a correlation between the initial measured flow rate, initial measured temperature and initial measured pressure of the fluid in the first monitoring area of the valve, and they do not exist independently. For example, the initial measured temperature of the fluid affects the viscosity and density physical properties of the fluid, and thus affects the initial measured flow rate of the fluid. Fluids with higher initial measured temperatures usually have lower viscosity and better fluidity, and the initial measured flow rate of the fluid may be higher. When the initial measured temperature of the fluid is low, the viscosity of the fluid increases and the fluidity weakens, which may cause the initial measured flow rate of the fluid to decrease. When the initial measured pressure of the fluid increases, the initial measured flow rate of the fluid may increase. When the fluid passes through the valve or pipeline, if the initial measured flow rate of the fluid increases, the initial measured pressure of the fluid will decrease relatively.

[0056] It should be noted that by analyzing the initial measured flow rate of the fluid in the first monitoring area of the valve, the accuracy of the valve opening matching can be improved. By analyzing the initial measured temperature and initial measured pressure of the fluid in the first monitoring area of the valve, the adjustment accuracy of the valve can be improved, thereby improving the response speed and sensitivity of the valve.

[0057] In this embodiment, a comprehensive analysis is performed on the initial measured flow rate, initial measured temperature and initial measured pressure of the fluid in the first monitoring area of the valve to obtain the valve adjustment index value, which can accurately adjust the valve opening to make the fluid operation more stable and efficient.

[0058] Specifically, the execution opening corresponding to the valve is obtained and the valve opening is adjusted. The specific process is: based on the mapping set between each adjustment index value interval and the execution opening pre-constructed in the valve adjustment database, the adjustment index value of the valve is input, and the interval in which the adjustment index value of the valve is located is matched. The execution opening corresponding to the adjustment index value of the valve is obtained through the mapping set, which is recorded as the execution opening corresponding to the valve, and the valve opening is adjusted according to the execution opening corresponding to the valve.

[0059] It should be noted that the actuator adjusts the valve opening according to the execution opening corresponding to the matched valve. The mapping set between each adjustment index value interval and the execution opening pre-constructed in the valve adjustment database comprehensively considers the various adjustment modes of the valve, and collects the fluid temperature difference between the first monitoring area of the valve and the second monitoring area of the valve for comparison with the set temperature difference of the valve. If the temperature difference is higher than or equal to the set temperature difference, the valve adjustment mode is marked as the temperature difference mode. If the temperature difference is lower than the set temperature difference, the set water supply temperature is compared with the return water temperature. If the set water supply temperature is higher than or equal to the return water temperature of the valve, the valve adjustment mode is marked as the heating mode. If the set water supply temperature is lower than the return water temperature of the valve, the valve adjustment mode is marked as the cooling mode.

[0060] Specifically, the valve opening adjustment process is tracked and monitored synchronously. The specific analysis process is: the valve opening adjustment process is tracked and monitored to obtain the pre-set valve opening sensing parameters of the first monitoring area and the second monitoring area, and the opening sensing parameters include fluid flow rate, fluid pressure and fluid resistance.

[0061] It should be noted that the fluid flows from the first monitoring area of the valve through the valve into the second monitoring area of the valve.

[0062] It should be added that the fluid resistance in the valve monitoring area is the resistance generated by factors such as the shape of the internal flow channel, surface roughness, and fluid viscosity when the fluid flows through the valve. The fluid resistance is usually estimated indirectly by measuring the pressure difference before and after the valve. The pressure difference is measured at both ends of the valve through a pressure sensor (differential pressure gauge). Combined with data such as flow rate and flow velocity, the fluid resistance of the valve can be calculated.

[0063] A comprehensive analysis is performed on the opening sensing parameters of the first monitoring area of the valve and the second monitoring area of the valve to obtain the valve opening adjustment speed correction index value, and the valve opening execution speed is adjusted according to the valve opening adjustment speed correction index value.

[0064] It should be noted that the valve opening execution speed is adjusted according to the valve opening adjustment speed correction index value. The specific process is that the valve opening execution speed is obtained by matching the valve opening adjustment speed correction index value, based on the mapping set between each opening adjustment speed correction index value interval and the opening execution speed pre-constructed in the valve adjustment database, the valve opening adjustment speed correction index value is input, and the interval in which the valve opening adjustment speed correction index value is located is obtained by matching. The opening execution speed corresponding to the valve opening adjustment speed correction index value is obtained through the mapping set, which is recorded as the valve opening execution speed, and the matched valve opening execution speed is added to the valve opening adjustment speed to obtain the corrected valve opening execution speed.

[0065] In this embodiment, the valve opening adjustment speed correction index value represents the numerical quantification result of the valve opening adjustment speed obtained by analyzing the actual operating parameters of the valve monitoring area. It is used to comprehensively quantify the stability of the valve opening adjustment and can be obtained by the following analysis method. The specific analysis conditions are as follows:

[0066]

[0067] In the formula, β represents the valve opening adjustment speed correction index value, B1 represents the fluid flow rate in the first monitoring area of the valve, B2 represents the fluid flow rate in the second monitoring area of the valve, θ1 represents the correction factor corresponding to the set fluid flow rate difference, C1 represents the fluid pressure in the first monitoring area of the valve, C2 represents the fluid pressure in the second monitoring area of the valve, θ2 represents the correction factor corresponding to the set fluid pressure difference, D1 represents the fluid resistance in the first monitoring area of the valve, D2 represents the fluid resistance in the second monitoring area of the valve, θ3 represents the correction factor corresponding to the set fluid resistance difference, and e represents a natural constant.

[0068] It should be added that, in this embodiment, the correction factors corresponding to the preset fluid flow rate difference, the correction factors corresponding to the fluid pressure difference, and the correction factors corresponding to the fluid resistance difference are obtained from the valve adjustment database.

[0069] It should be explained that the correction factor corresponding to the fluid flow rate difference represents the numerical value of the influence of the fluid flow rate difference of the valve on the opening adjustment speed correction index value, the correction factor corresponding to the fluid pressure difference represents the numerical value of the influence of the fluid pressure difference of the valve on the opening adjustment speed correction index value, and the correction factor corresponding to the fluid resistance difference represents the numerical value of the influence of the fluid resistance difference of the valve on the opening adjustment speed correction index value. These corresponding relationships are pre-set mapping relationships. For example, the fluid flow rate difference of the valve and the correction factors corresponding to the preset fluid flow rate differences of the valve obtained from the valve adjustment database form a mapping set. The real-time valve fluid flow rate difference is input into the mapping set to obtain the correction factor corresponding to the valve fluid flow rate difference. The valve fluid pressure difference and the correction factor corresponding to the preset valve fluid pressure difference obtained from the valve regulation database form a mapping set. The real-time valve fluid pressure difference is input into the mapping set to obtain the correction factor corresponding to the valve fluid pressure difference. The valve fluid resistance difference and the correction factor corresponding to the preset valve fluid resistance difference obtained from the valve regulation database form a mapping set. The real-time valve fluid resistance difference is input into the mapping set to obtain the correction factor corresponding to the valve fluid resistance difference.

[0070] It should be added that the fluid flow rate, fluid pressure and fluid resistance in the valve monitoring area are correlated and do not exist independently. For example, there is an inverse relationship between flow rate and pressure. Under ideal flow conditions, when the flow rate increases, the static pressure of the fluid will decrease. The relationship between flow rate and pressure is affected by the density of the fluid, the geometry of the pipeline and the flow pattern. The increase in fluid flow rate is usually accompanied by an increase in fluid resistance. When the flow rate increases, the resistance increases more significantly.

[0071] It should be noted that by analyzing the fluid flow rate in the valve monitoring area, timely feedback can be given on flow rate anomalies caused by over-adjustment or lag adjustment. By analyzing the fluid pressure in the valve monitoring area, the pressure fluctuation of the fluid can be better understood. The speed adjustment of the valve opening can be corrected according to the pressure change to ensure that the valve is always within the appropriate working pressure range during the adjustment process, thereby avoiding unstable opening adjustment caused by excessive pressure fluctuations. By analyzing the fluid resistance in the valve monitoring area, the valve opening speed can be adjusted more accurately, reducing flow fluctuations caused by resistance changes, thereby improving the accuracy of the valve opening adjustment speed correction.

[0072] In this implementation, a comprehensive analysis is performed on the fluid flow rate, fluid pressure and fluid resistance in the valve monitoring area to obtain a correction index value for the valve opening adjustment speed, which can more accurately control the valve opening change rate. In the case of large flow changes, the valve can quickly adjust the opening according to the feedback signals of pressure and resistance to maintain flow stability.

[0073] Specifically, the valve opening adjustment status is verified and monitored. The specific process is: when the valve opening adjustment is terminated, the intelligent valve control end starts the adjustment verification signal, collects the valve opening, fluid average flow rate, response time and fluid average pressure after the opening adjustment, and conducts a comprehensive analysis to obtain the valve opening adjustment status evaluation value.

[0074] It should be added that the valve opening refers to the percentage of valve opening. The position of the valve can be detected by devices such as potentiometers or encoders, and then the valve opening can be analyzed. The valve response time refers to the time from the valve receiving the control signal (such as electrical signal or pneumatic signal) to the valve actually starting to open. It can be obtained by measuring the time interval from the control signal being sent to the valve starting to open by a timer.

[0075] It should be noted that the average value of the fluid flow rate in the first monitoring area and the second monitoring area of the valve after the opening is adjusted is taken to obtain the average fluid flow rate of the valve after the opening is adjusted, and the average value of the fluid pressure in the first monitoring area and the second monitoring area of the valve after the opening is adjusted is taken to obtain the average fluid pressure of the valve after the opening is adjusted.

[0076] In this embodiment, the valve opening adjustment state evaluation value represents a numerical quantification result of the opening adjustment effect obtained by analyzing the valve opening adjustment state. It is used to comprehensively quantify the valve adjustment effect and can be obtained by the following analysis method. The specific analysis conditions are as follows:

[0077]

[0078] In the formula, γ represents the evaluation value of the valve opening adjustment state, F1 represents the valve opening, ΔF1 represents the corresponding execution opening of the valve, Indicates the compensation factor corresponding to the set opening, F2 indicates the average flow rate of the valve fluid, Indicates the compensation factor corresponding to the set fluid flow rate, F3 indicates the response time of the valve, Indicates the compensation factor corresponding to the set response time, F4 indicates the average fluid pressure of the valve, It represents the compensation factor corresponding to the set fluid pressure, and e represents a natural constant.

[0079] It should be added that, in this embodiment, the compensation factors corresponding to the preset opening, fluid flow rate, response time and fluid pressure are obtained from the valve adjustment database.

[0080] It should be explained that the compensation factor corresponding to the opening represents the numerical value of the influence of the valve opening on the opening adjustment state evaluation value, the compensation factor corresponding to the fluid flow rate represents the numerical value of the influence of the valve average fluid flow rate on the opening adjustment state evaluation value, the compensation factor corresponding to the response time represents the numerical value of the influence of the valve response time on the opening adjustment state evaluation value, and the compensation factor corresponding to the fluid pressure represents the numerical value of the influence of the valve average fluid pressure on the opening adjustment state evaluation value. These corresponding relationships are pre-set mapping relationships. For example, the valve opening and the compensation factors corresponding to the preset valve openings obtained from the valve adjustment database form a mapping set, and the real-time valve opening is input into the mapping set to obtain the compensation factor corresponding to the valve opening. Factor, the average fluid flow rate of the valve and the compensation factor corresponding to the preset average fluid flow rate of the valve obtained in the valve regulation database form a mapping set, the real-time average fluid flow rate of the valve is input into the mapping set, and the compensation factor corresponding to the average fluid flow rate of the valve is obtained, the response time of the valve and the compensation factor corresponding to the preset response time of the valve obtained in the valve regulation database form a mapping set, the real-time response time of the valve is input into the mapping set, and the compensation factor corresponding to the response time of the valve is obtained, the average fluid pressure of the valve and the compensation factor corresponding to the preset average fluid pressure of the valve obtained in the valve regulation database form a mapping set, the real-time average fluid pressure of the valve is input into the mapping set, and the compensation factor corresponding to the average fluid pressure of the valve is obtained.

[0081] It should be added that there is a correlation between the valve opening, average fluid flow rate, response time and average fluid pressure, and they do not exist independently. For example, an increase in the valve opening means an increase in the channel area through which the fluid passes through the valve, which usually leads to an increase in the fluid flow rate. As the area of the fluid channel increases, the flow resistance decreases, the pressure loss of the fluid decreases, and the fluid pressure decreases.

[0082] It should be noted that by analyzing the valve opening, the valve's control accuracy over fluid flow can be improved. Analyzing the valve's average fluid flow rate can help reduce unstable valve adjustment caused by fluid flow rate fluctuations. Analyzing the valve's response time can quickly identify and adjust deficiencies in valve adjustment. Analyzing the valve's average fluid pressure can promptly detect fluid pressure anomalies, thereby improving the valve's adjustment accuracy.

[0083] In this embodiment, a comprehensive analysis is performed on the valve opening, average fluid flow rate, response time and average fluid pressure to obtain an evaluation value of the valve opening adjustment state, which can be used to evaluate the compliance of the valve opening adjustment with the expected opening effect.

[0084] Specifically, the valve opening adjustment verification monitoring result is obtained, and the specific process is: the valve opening adjustment verification monitoring result includes the opening adjustment being qualified and the opening adjustment being unqualified.

[0085] The valve opening adjustment state evaluation value is compared with the set opening adjustment state evaluation threshold. If the valve opening adjustment state evaluation value is higher than or equal to the set opening adjustment state evaluation threshold, the valve opening adjustment verification monitoring result is marked as qualified opening adjustment. If the valve opening adjustment state evaluation value is lower than the set opening adjustment state evaluation threshold, the valve opening adjustment verification monitoring result is marked as unqualified opening adjustment, thereby obtaining the valve opening adjustment verification monitoring result.

[0086] Specifically, a secondary regulation control optimization execution judgment is performed, and the specific process is: extract the valve opening regulation verification monitoring result. If the valve opening regulation verification monitoring result is marked as unqualified opening regulation, then extract the difference between the opening regulation state evaluation threshold and the valve opening regulation state evaluation value, and record it as the valve opening regulation correction index value. The secondary regulation control execution opening corresponding to the valve is obtained according to the matching of the valve opening regulation correction index value, and the valve is adjusted according to the secondary regulation control execution opening corresponding to the valve.

[0087] It should be added that, based on the mapping set between each opening adjustment correction index value interval and the secondary adjustment control execution opening pre-constructed in the valve adjustment database, the opening adjustment correction index value of the valve is input, and the interval in which the opening adjustment correction index value of the valve is located is matched. The secondary adjustment control execution opening corresponding to the opening adjustment correction index value of the valve is obtained through the mapping set, which is recorded as the secondary adjustment control execution opening corresponding to the valve.

[0088] It should be noted that the intelligent valve control optimization method and system based on the Internet of Things also includes a valve adjustment database, which is used to store the reference fluid initial measured flow rate, reference fluid initial measured temperature, reference fluid initial measured pressure, the weight factor corresponding to the fluid initial measured flow rate, the weight factor corresponding to the fluid initial measured temperature, the weight factor corresponding to the fluid initial measured pressure, the compensation factor corresponding to the opening, the compensation factor corresponding to the fluid flow rate, the compensation factor corresponding to the response time, the compensation factor corresponding to the fluid pressure, the opening adjustment state evaluation threshold, the correction factor corresponding to the fluid flow rate difference, the correction factor corresponding to the fluid pressure difference and the correction factor corresponding to the fluid resistance difference obtained by analyzing historical data.

[0089] like Figure 2 The second aspect of the present invention provides an intelligent valve control optimization system based on the Internet of Things, including: a control signal judgment module, which is used for the intelligent valve control end to receive the control signal corresponding to the valve connected to the Internet of Things and make a judgment. If the control signal is the minimum control signal, the valve is controlled by the electric actuator to enter the standby state. If the control signal is a valid control signal, the adjustment constraint parameters of the valve are monitored and obtained.

[0090] The opening adjustment analysis module is used for the intelligent valve control end to extract the valve adjustment constraint parameters for analysis and obtain the valve adjustment index value.

[0091] The adjustment process analysis module is used to obtain the corresponding execution opening of the valve according to the adjustment index value of the valve and adjust the valve opening. It is also used to track the valve opening adjustment process through sensing and monitoring, thereby performing real-time optimization control of the valve opening adjustment.

[0092] The adjustment state verification module is used to start the adjustment verification signal at the intelligent valve control end when the valve opening adjustment is terminated, and verify and monitor the valve opening adjustment state, obtain the valve opening adjustment verification monitoring result and perform secondary adjustment control optimization execution judgment.

[0093] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0094] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to the specific embodiments described. Obviously, numerous modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention.

Claims

1. The intelligent valve control optimization method based on the Internet of Things is characterized by: include: The intelligent valve control terminal receives the control signal corresponding to the valve connected to the Internet of Things and makes a judgment. If the control signal is the minimum control signal, the valve is controlled to enter the standby state through the electric actuator. If the control signal is a valid control signal, the valve adjustment constraint parameters are monitored and obtained. The intelligent valve control end extracts the valve's adjustment constraint parameters for analysis and obtains the valve's adjustment index value; According to the valve adjustment index value, the corresponding execution opening of the valve is obtained and the valve opening is adjusted. The valve opening adjustment process is tracked and monitored simultaneously, thereby performing real-time optimization control of the valve opening adjustment; When the valve opening adjustment is terminated, the intelligent valve control end starts the adjustment verification signal and verifies and monitors the valve opening adjustment state, obtains the valve opening adjustment verification monitoring result and performs secondary adjustment control optimization execution judgment; The regulating constraint parameters of the valve include an initially measured flow rate of the fluid, an initially measured temperature of the fluid and an initially measured pressure of the fluid in the first monitoring area of the valve; The adjustment index value of the valve, the specific analysis conditions are: ； Where, Indicates the adjustment index value of the valve, Indicates the initial measured flow rate of the fluid in the first monitoring area of the valve, Indicates the initial measured flow rate of the reference fluid. Indicates the weight factor corresponding to the set initial measured flow rate of the fluid, Indicates the initial measured temperature of the fluid in the first monitoring area of the valve, Indicates the set initial measurement temperature of the reference fluid. Indicates the weight factor corresponding to the set initial measured temperature of the fluid, Indicates the initial measured pressure of the fluid in the first monitoring area of the valve, Indicates the set reference initial measurement fluid pressure, It represents the weight factor corresponding to the set initial measured pressure of the fluid, and e represents a natural constant.

2. The method for optimizing intelligent valve control based on the Internet of Things according to claim 1 is characterized in that: The specific process of extracting the adjustment constraint parameters of the valve for analysis is as follows: The initial measured flow rate, initial measured temperature and initial measured pressure of the fluid in the first monitoring area of the valve are extracted for comprehensive analysis to obtain the valve adjustment index value, and the corresponding execution opening of the valve is obtained according to the matching of the valve adjustment index value.

3. The method for optimizing intelligent valve control based on the Internet of Things according to claim 2 is characterized in that: The specific process of obtaining the corresponding execution opening of the valve and adjusting the valve opening is as follows: Based on the mapping set between each adjustment index value interval and the execution opening pre-constructed in the valve adjustment database, the adjustment index value of the valve is input, and the interval of the valve adjustment index value is matched. The execution opening corresponding to the valve adjustment index value is obtained through the mapping set, which is recorded as the execution opening corresponding to the valve. The valve opening is adjusted according to the execution opening corresponding to the valve.

4. The method for optimizing intelligent valve control based on the Internet of Things according to claim 1 is characterized in that: The synchronous tracking sensor monitoring of the valve opening adjustment process is as follows: Tracking and sensing the valve opening adjustment process to obtain preset valve opening sensing parameters of the first monitoring area and the second monitoring area of the valve, wherein the valve opening sensing parameters include fluid flow rate, fluid pressure and fluid resistance; A comprehensive analysis is performed on the opening sensing parameters of the first monitoring area of the valve and the second monitoring area of the valve to obtain the valve opening adjustment speed correction index value, and the valve opening execution speed is adjusted according to the valve opening adjustment speed correction index value.

5. The method for optimizing intelligent valve control based on the Internet of Things according to claim 1 is characterized in that: The specific process of verifying and monitoring the valve opening adjustment state is as follows: When the valve opening adjustment is terminated, the intelligent valve control end starts the adjustment verification signal, collects the valve opening, fluid average flow rate, response time and fluid average pressure after the opening adjustment for comprehensive analysis, and obtains the valve opening adjustment status evaluation value.

6. The method for optimizing intelligent valve control based on the Internet of Things according to claim 5 is characterized in that: The specific process of obtaining the valve opening adjustment verification monitoring result is as follows: The valve opening adjustment verification monitoring results include opening adjustment qualified and opening adjustment unqualified; The valve opening adjustment state evaluation value is compared with the set opening adjustment state evaluation threshold. If the valve opening adjustment state evaluation value is higher than or equal to the set opening adjustment state evaluation threshold, the valve opening adjustment verification monitoring result is marked as qualified opening adjustment. If the valve opening adjustment state evaluation value is lower than the set opening adjustment state evaluation threshold, the valve opening adjustment verification monitoring result is marked as unqualified opening adjustment, thereby obtaining the valve opening adjustment verification monitoring result.

7. The method for optimizing intelligent valve control based on the Internet of Things according to claim 6 is characterized in that: The specific process of performing the secondary regulation control optimization execution judgment is as follows: Extract the valve opening adjustment verification monitoring result. If the valve opening adjustment verification monitoring result is marked as unqualified opening adjustment, extract the difference between the opening adjustment state evaluation threshold and the valve opening adjustment state evaluation value, and record it as the valve opening adjustment correction index value. According to the matching of the valve opening adjustment correction index value, the secondary adjustment control execution opening corresponding to the valve is obtained, and the valve is adjusted according to the secondary adjustment control execution opening corresponding to the valve.

8. A system using the method for optimizing intelligent valve control based on the Internet of Things according to any one of claims 1 to 7, characterized in that: include: The control signal judgment module is used for the intelligent valve control end to receive the control signal corresponding to the valve connected to the Internet of Things and make a judgment. If the control signal is the minimum control signal, the valve is controlled to enter the standby state through the electric actuator. If the control signal is a valid control signal, the adjustment constraint parameters of the valve are monitored and obtained; The opening adjustment analysis module is used to extract the valve adjustment constraint parameters at the intelligent valve control end for analysis and obtain the valve adjustment index value; The adjustment process analysis module is used to obtain the corresponding execution opening of the valve according to the adjustment index value of the valve and adjust the valve opening. It also tracks the valve opening adjustment process through sensor monitoring, thereby performing real-time optimization control of the valve opening adjustment; The adjustment state verification module is used to start the adjustment verification signal at the intelligent valve control end when the valve opening adjustment is terminated, and verify and monitor the valve opening adjustment state, obtain the valve opening adjustment verification monitoring result and perform secondary adjustment control optimization execution judgment.

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