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

Abstract

The invention discloses an intelligent valve control optimization method and system based on the Internet of Things, and relates to the technical field of electronic digital data processing. Firstly, an intelligent valve control end receives a control signal corresponding to a valve connected with the Internet of Things and judges, system requirements can be quickly and accurately recognized and responded, then adjustment constraint parameters of the valve are extracted and analyzed, influences of various factors on valve adjustment can be considered, it is ensured that the adjustment process is conducted under reasonable constraint conditions, and the adjustment efficiency is improved. The situation of excessive adjustment is reduced, tracking, sensing and monitoring are synchronously carried out on the opening degree adjustment process of the valve, possible abnormal situations can be found in time, it is ensured that the adjustment process meets the expectation, finally, the opening degree adjustment verification monitoring result of the valve is obtained, secondary adjustment control optimization execution judgment is carried out, and the accuracy of valve adjustment can be verified; and the opening degree adjusting accuracy of the valve is improved, and therefore the valve adjusting effect is optimized.

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, inaccurate data analysis will result, 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] Prior art, such as the invention patent with announcement number: CN113435129B, discloses an optimization method, device and cooling water valve for a cooling water valve control strategy, including 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 generating unit through a reinforcement learning algorithm based on the state-action sequence data set; performing optimization interaction for a preset number of optimization iterations on the cooling water valve control strategy model and the unit state transfer strategy model to obtain an optimized cooling water valve control strategy model.

[0004] Prior art, such as an intelligent control method for a pressure reducing valve in the invention patent announcement with announcement number: CN117131808B, relates to the field of data processing technology, generates a steady-state correlation coefficient by monitoring and analyzing the input pipe to be controlled, 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 the execution pressure reducing valve matching result based on the matching of the input pressure calibration value and the steady-state correlation coefficient, and obtains the 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] In combination with the above scheme, it is found that currently in the field of intelligent valve control optimization technology, usually 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, which 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 further affecting the efficiency and reliability of the entire control system. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an intelligent valve control optimization method and system based on the Internet of Things, 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, comprising 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 to enter a standby state through an electric actuator. If the control signal is a valid control signal, the adjustment constraint parameters of the valve 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 adjustment index value of the valve, 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 in the first monitoring area of ​​the valve, an initially measured temperature of the fluid and an initially measured pressure of the fluid.

[0012] Furthermore, the adjustment constraint parameters of the valve are extracted for analysis, and the specific process is: extracting 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 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 a 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 obtained by matching. 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 sensor monitoring of the valve opening adjustment process, the specific analysis process is: tracking sensor monitoring of the valve opening adjustment process, obtaining pre-set valve first monitoring area and valve second monitoring area opening sensor parameters, the opening sensor parameters include fluid flow rate, fluid pressure and fluid resistance.

[0015] Comprehensively analyze 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 adjust the valve opening execution speed 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 obtaining of the valve opening adjustment verification monitoring result comprises the following specific processes: the valve opening adjustment verification monitoring result comprises 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 the opening regulation is unqualified, then extracting the difference between the opening regulation state evaluation threshold and the valve opening regulation state evaluation value, and recording it as the valve opening regulation correction index value, and obtaining the secondary regulation control execution opening corresponding to the valve according to the matching of the valve opening regulation correction index value, and adjusting the valve according to the secondary regulation control execution opening corresponding to the valve.

[0020] Furthermore, the adjustment index value of the valve is specifically analyzed under the following conditions:

[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 to enter a standby state through an electric actuator. 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 extracting the adjustment constraint parameters of the valve at the intelligent valve control end for analysis to 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, and simultaneously track the sensor monitoring of the valve opening adjustment process, 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 to 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 adjustment constraint parameters of the valve are extracted for analysis, which helps to improve the accuracy of the valve opening adjustment. The valve opening adjustment process is tracked and sensed and monitored simultaneously to ensure the precise 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 can obtain and evaluate the operating status and performance of the valve in real time by analyzing the adjustment index value of the valve, 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, 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 failures, and optimize the adjustment of the valve in real time. This 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 and reduce the deviation caused by the mechanical error of the valve, thereby ensuring 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 excessive fluctuation of the valve opening, 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 It is a schematic diagram of the method flow of the present invention.

[0033] Figure 2 It is a schematic diagram of module connection of the present invention.

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

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0036] See also Figure 1 As shown, the first aspect of an embodiment of the present invention provides a technical solution: an intelligent valve control optimization method based on the Internet of Things, comprising 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 to enter a standby state through an electric actuator. 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 adjustment index value of the valve, 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 regulating constraint parameters of the valve include an initially measured flow rate of the fluid in the first monitoring area of ​​the valve, an initially measured temperature of the fluid, and an initially measured pressure of the fluid.

[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: extract 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 obtain the corresponding execution opening of the valve according to the matching of the adjustment index value of the valve.

[0043] In this embodiment, the adjustment index value of the valve represents the numerical quantification result of the valve opening adjustment obtained by analyzing the adjustment constraint parameters of the valve, 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:

[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 initial measured flow rate of the fluid 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 rates, initial measured temperatures and initial measured pressures of the fluid in the first monitoring areas of four different valves and the corresponding regulation index values, and provides the degree of influence of the initial measured flow rates, initial measured temperatures and initial measured pressures of the fluid in the first monitoring areas of different valves on the regulation index value. The regulation index value comprehensively considers the initial measured flow rate, initial measured temperature and 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] It needs to be explained that Figure 3 This is an example diagram of the change in the valve adjustment index value as the initial measured flow rate of the fluid in the first monitoring area of ​​the valve changes. 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 initial measured pressure of the fluid 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, respectively.

[0051] It should be explained that when the initial measurement temperature of the fluid in the first monitoring area of ​​the valve is 23°C, the functional relationship image between the initial measurement 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 measurement temperature of the fluid in the first monitoring area of ​​the valve is 25°C, the functional relationship image between the initial measurement 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 measurement temperature of the fluid in the first monitoring area of ​​the valve is 27°C, the functional relationship image between the initial measurement 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 measurement flow rate of the fluid in the first monitoring area of ​​the valve and the initial measurement flow rate of the reference fluid. When the absolute value of the difference between the initial measurement temperature of the fluid in the first monitoring area of ​​the valve and the initial measurement 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 prior art that the adjustment index value of the valve cannot be accurately analyzed due to the insufficient 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 is, 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 is, the more the fluid temperature is in line with expectations, the smaller the opening of the valve needs to be adjusted, the smaller the valve adjustment index value is, 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 is, the smaller the pressure fluctuation of the fluid controlled by the valve when passing through the valve is, and the smaller the valve adjustment index value is.

[0053] It should be added that, in this embodiment, the preset weighting factor corresponding to the initial measured flow velocity of the fluid, the weighting factor corresponding to the initial measured temperature of the fluid, and the weighting factor corresponding to the initial measured pressure of the fluid are obtained from the valve regulation 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 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 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 physical properties of the fluid such as viscosity and density, 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 their initial measured flow rates may be higher. When the initial measured temperature of the fluid is low, the viscosity of the fluid increases and the fluidity decreases, 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 a 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 implementation, 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 opening of the valve 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 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 adjustment mode of the valve 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 adjustment mode of the valve is marked as the heating mode. If the set water supply temperature is lower than the return water temperature of the valve, the adjustment mode of the valve is marked as the cooling mode.

[0060] Specifically, the valve opening adjustment process is tracked and monitored synchronously, and the specific analysis process is: the valve opening adjustment process is tracked and monitored to obtain pre-set valve opening sensor parameters of the first monitoring area and the second monitoring area, and the opening sensor 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 caused by factors such as the shape of the internal flow channel, surface roughness, and fluid viscosity of the valve 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 by a pressure sensor (differential pressure gauge), combined with data such as flow rate and flow velocity, to infer the fluid resistance of the valve.

[0063] Comprehensively analyze 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 adjust the valve opening execution speed according to the valve opening adjustment speed correction index value.

[0064] It should be noted that the opening execution speed of the valve is adjusted according to the valve opening regulation speed correction index value. The specific process is: the valve opening execution speed is obtained by matching the valve opening regulation speed correction index value, based on a mapping set between each opening regulation speed correction index value interval and the opening execution speed pre-constructed in the valve regulation database, the valve opening regulation speed correction index value is input, and the interval in which the valve opening regulation speed correction index value is located is matched. The opening execution speed corresponding to the valve opening regulation 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 regulation 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, which 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 factor corresponding to the preset fluid flow rate difference, the correction factor corresponding to the fluid pressure difference and the correction factor 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 of the valve 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 of the valve 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 factor corresponding to the preset fluid flow rate difference of the valve obtained in 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, the abnormal flow rate caused by over-adjustment or lag adjustment can be fed back in time. 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 to reduce 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 valve opening adjustment speed correction index value, 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 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.

[0074] It should be added that the valve opening refers to the percentage of the valve opening. The position of the valve can be detected by a potentiometer or encoder and other devices to analyze the valve opening. The valve response time refers to the time from when the valve receives a control signal (such as an electrical signal or a pneumatic signal) to when the valve actually starts to open. It can be obtained by measuring the time interval from the control signal being sent to when the valve starts 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 evaluation value of the valve opening adjustment state represents the numerical quantification result of the opening adjustment effect obtained by analyzing the valve opening adjustment state, which is used to comprehensively quantify the adjustment effect of the valve 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 fluid in the valve, 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 factor corresponding to the preset opening, the compensation factor corresponding to the fluid flow rate, the compensation factor corresponding to the response time and the compensation factor corresponding to the 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 average fluid flow rate of the valve on the opening adjustment state evaluation value, the compensation factor corresponding to the response time represents the numerical value of the influence of the response time of the valve 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 average fluid pressure of the valve on the opening adjustment state evaluation value. These corresponding relationships are pre-set mapping relationships. For example, the valve opening and the compensation factor corresponding to the preset valve opening 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 flow rate of the valve fluid and the compensation factor corresponding to the preset average flow rate of the valve fluid obtained in the valve regulation database form a mapping set, the real-time average flow rate of the valve fluid is input into the mapping set, and the compensation factor corresponding to the average flow rate of the valve fluid 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 pressure of the valve fluid and the compensation factor corresponding to the preset average pressure of the valve fluid obtained in the valve regulation database form a mapping set, the real-time average pressure of the valve fluid is input into the mapping set, and the compensation factor corresponding to the average pressure of the valve fluid is obtained.

[0081] It should be added that there is a correlation between the valve opening, the average fluid flow rate, the response time and the average fluid pressure, and they do not exist independently. For example, an increase in the valve opening means that the channel area through which the fluid passes through the valve increases, 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 control accuracy of the valve over the fluid flow can be improved. Analyzing the average fluid flow rate of the valve can help reduce the unstable valve adjustment caused by fluid flow rate fluctuations. Analyzing the valve response time can quickly identify and adjust the deficiencies in valve adjustment. Analyzing the average fluid pressure of the valve can promptly detect fluid pressure abnormalities, thereby improving the accuracy of valve adjustment.

[0083] In this implementation, 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 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 qualified and the opening adjustment 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 the opening regulation unqualified, then extract the difference between the opening regulation state evaluation threshold and the valve opening regulation state evaluation value, record it as the valve opening regulation correction index value, match the valve opening regulation correction index value to obtain the secondary regulation control execution opening corresponding to the valve, and adjust the valve 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, weight factor corresponding to the fluid initial measured flow rate, weight factor corresponding to the fluid initial measured temperature, weight factor corresponding to the fluid initial measured pressure, compensation factor corresponding to the opening, compensation factor corresponding to the fluid flow rate, compensation factor corresponding to the response time, compensation factor corresponding to the fluid pressure, opening adjustment state evaluation threshold, correction factor corresponding to the fluid flow rate difference, correction factor corresponding to the fluid pressure difference and 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 to enter a standby state through an electric actuator. 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 extracting the adjustment constraint parameters of the valve at the intelligent valve control end for analysis to 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, and simultaneously track the sensor monitoring of the valve opening adjustment process, 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 to 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 article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0094] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well.

Claims

1. An intelligent valve control optimization method based on the Internet of Things, characterized in that: include: The intelligent valve control end 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 adjustment constraint parameters of the valve are monitored and obtained. The intelligent valve control end extracts the valve's adjustment constraint parameters for analysis to obtain 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.

2. The method for optimizing intelligent valve control based on the Internet of Things according to claim 1 is characterized in that: The regulating constraint parameters of the valve include an initially measured flow rate of the fluid in the first monitoring area of ​​the valve, an initially measured temperature of the fluid and an initially measured pressure of the fluid.

3. According to claim 2, the intelligent valve control optimization method based on the Internet of Things is characterized by: 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.

4. The method for optimizing intelligent valve control based on the Internet of Things according to claim 3 is characterized in that: The specific process of obtaining the execution opening corresponding to 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, and the valve opening is adjusted according to the execution opening corresponding to the valve.

5. 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 opening sensing parameters include fluid flow rate, fluid pressure and fluid resistance; Comprehensively analyze 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 adjust the valve opening execution speed according to the valve opening adjustment speed correction index value.

6. 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.

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 obtaining the valve opening adjustment verification monitoring result is as follows: The valve opening adjustment verification monitoring results include a qualified opening adjustment and an unqualified opening adjustment; 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.

8. The method for optimizing intelligent valve control based on the Internet of Things according to claim 7 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 assessment threshold and the valve opening adjustment state assessment value, and record it as the valve opening adjustment correction index value. According to the matching of the valve opening adjustment correction index value, obtain the secondary adjustment control execution opening corresponding to the valve, and adjust the valve according to the secondary adjustment control execution opening corresponding to the valve.

9. The method for optimizing intelligent valve control based on the Internet of Things according to claim 2 is characterized in that: The adjustment index value of the valve, the specific analysis conditions are: 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.

10. The intelligent valve control optimization system based on the Internet of Things is characterized by: 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 for the intelligent valve control end to extract the adjustment constraint parameters of the valve for analysis and obtain the adjustment index value of the valve; 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, and simultaneously track the valve opening adjustment process through sensing and 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 to 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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