Intelligent valve with self-generation of electricity by fluid kinetic energy of pipeline and method thereof

Abstract

This invention discloses a smart valve and method for self-generating pipeline fluid kinetic energy, belonging to the field of pipeline fluid kinetic energy utilization technology. The method includes: S1, providing a smart valve and performing operational condition sensing. The smart valve includes a valve body with a built-in generator set and an externally located smart control unit. The operational condition sensing involves the smart control unit monitoring the voltage and current signals output by the generator set in real time, and calculating the current fluid operational condition based on a preset dynamic correlation model characterizing voltage, current, and fluid operational condition, and predicting future energy revenue trends. This invention's energy prediction-driven hierarchical power consumption management function enables the smart valve to calculate future energy revenue trends and current energy storage status based on these factors.

Description

Technical Field

[0001] This invention relates to the field of pipeline fluid kinetic energy utilization, specifically to a pipeline fluid kinetic energy self-generating intelligent valve and its method. Background Technology

[0002] In the field of pipeline fluid kinetic energy utilization, traditional passive valves cannot achieve automated management and status prediction. This results in their inability to self-adjust and ensure safety in complex and ever-changing fluid environments based on actual operating conditions. This limitation makes it difficult for pipeline system managers to remotely monitor and control valve status, and also makes it impossible to predict potential failure risks, affecting the stability and safety of pipeline operation.

[0003] The aforementioned technical problems primarily stem from the lack of effective energy self-sufficiency systems and intelligent control strategies. Traditional valves, without external power, cannot deploy sensors for condition monitoring or be equipped with actuators for remote or automatic control. This leads to limitations in data acquisition and processing technologies; namely, the inability to acquire real-time fluid state data within the pipeline and the inability to effectively manage the valve's own energy consumption. Consequently, when fluid conditions change abruptly, such as a sudden increase in fluid load, the valve may lack the energy reserves to perform critical safety actions, leading to pipeline system failure.

[0004] The information disclosed in the background section above is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a smart valve and method for self-generating pipeline fluid kinetic energy, so as to solve the problems mentioned in the background art.

[0006] The technical solution of the present invention includes: S1. Provide an intelligent valve and perform working condition sensing. The intelligent valve includes a valve body with a built-in generator set and an intelligent control unit set externally. The working condition sensing is to monitor the voltage and current signals output by the generator set in real time through the intelligent control unit, and calculate the current fluid working condition based on a preset dynamic correlation model that characterizes voltage, current and fluid working condition, and predict the future energy income trend. S2. Perform energy prediction-driven hierarchical power consumption management, wherein the intelligent control unit adaptively switches between multiple preset operating levels based on the current power of its internal energy storage element and the future energy income trend predicted in step S1. S3. Dynamic energy reserve for ensuring the final safe state, wherein the intelligent control unit is based on the power consumption record of the last complete action of the valve actuator and is corrected by combining the current real-time fluid load calculated in step S1, dynamically calculates and reserves the safety energy reserve required for one fault safety action, and when the total energy storage drops to only the safety energy reserve, the fault safety action is forcibly executed.

[0007] Preferably, the establishment of the dynamic association model in step S1 includes the following steps: On the fluid testing platform, the fluid in the control pipeline is stably flowed through the valve at multiple known velocity levels, and the stable voltage value output by the generator set at each velocity level is recorded to establish a mapping relationship between voltage and flow velocity. While keeping a specific flow rate constant, the generator load is changed and the output current value under different loads is recorded to establish the correspondence data of flow rate, load, voltage and current.

[0008] Preferably, the preset operating levels in step S2 include: Full-function level: Allows all high-power operations when energy storage is ample and energy income trends are increasing or stable; Basic protection level: When energy storage is in a medium or declining energy income trend, reduce the frequency of data reporting and only respond to high-priority commands; Hibernation Survival Level: When energy storage is low and there is no energy intake, shut down all peripheral circuits except for core status monitoring.

[0009] Preferably, the dynamic calculation of the safety energy reserve in step S3 includes: Record the total power consumed by the valve actuator to complete one full opening and closing action, and use it as a power consumption benchmark; The dynamic correlation model is used to calculate the current real-time fluid load from the real-time monitored voltage and current, and compare it with the average fluid load recorded during the last operation to obtain a real-time load correction coefficient. The power consumption benchmark is multiplied by the real-time load correction factor to determine the safe energy reserve.

[0010] A smart valve for self-generating pipeline fluid kinetic energy, comprising: The valve body has a built-in flow channel and a valve core for opening and closing the flow channel; The generator set, built into the flow channel of the valve body, is used to convert fluid kinetic energy into electrical energy and output voltage and current signals characterizing the fluid operating conditions. The intelligent control unit, fixed to the outside of the valve body, includes: Energy storage element, used to store the electrical energy generated by the generator set; A valve actuator is connected to the valve core to drive its action; The circuit control board is electrically connected to the generator set, the energy storage element, and the valve actuator. The circuit control board is used to: perform operating condition perception and energy trend prediction based on the voltage and current signals output by the generator set and a preset dynamic correlation model; perform hierarchical power consumption management based on the prediction results and the power of the energy storage element; and dynamically reserve the energy required for the final safe action based on historical power consumption and real-time operating conditions.

[0011] Preferably, the generator set includes: Axial flow impeller, directly exposed to the fluid in the pipe; The permanent magnet micro generator has its rotor coaxially connected to the axial flow impeller, and its stator is fixed on a generator bracket located inside the valve body.

[0012] Preferably, the generator set further includes a combined sealing structure, wherein a skeleton oil seal for dynamic sealing is provided at the point where the shaft of the permanent magnet micro generator extends out of the generator bracket; and epoxy resin potting is used to achieve static sealing at the opening where the wires connecting the circuit control board pass through the valve body.

[0013] Preferably, the energy storage element is a combination of a supercapacitor and a lithium battery.

[0014] Preferably, the valve actuator is a DC geared motor, which integrates a worm gear reducer, and the output end of the DC geared motor cooperates with the valve stem of the valve core.

[0015] This invention provides an improved intelligent valve and method for self-generating power from kinetic energy of pipeline fluid, which has the following improvements and advantages compared with the prior art: 1. The energy prediction-driven hierarchical power consumption management function in the solution enables the smart valve to proactively adjust its power consumption strategy based on the predicted future energy income trend and the current energy storage status. The preset operating levels include full-function level, basic guarantee level and hibernation survival level. When the energy supply is sufficient, the valve can perform high-frequency data interaction; while when the energy income decreases, it will reduce the data reporting frequency and concentrate energy on core functions, so as to maintain effective operation for a long time even in an environment with unstable energy acquisition. 2. The dynamic energy reserve function of the solution abandons the fixed power threshold and instead performs dynamic calculation by combining the actual power consumption of the last valve action and the current real-time fluid load. It records the power consumption of the valve to complete one full opening and closing action as the power consumption benchmark, and converts the real-time monitored voltage and current into the current fluid load through a dynamic correlation model. The power consumption benchmark is multiplied by a correction coefficient derived from the ratio of the real-time load to the average load during the last action to determine the final safe energy reserve. 3. This solution integrates working condition sensing and power generation functions into one. While the generator set converts fluid kinetic energy into electrical energy, its output voltage and current signals also directly serve as the information source for sensing fluid working conditions. This is significantly different from existing technologies that require additional independent sensors, such as flow meters and pressure gauges, to be installed outside or inside the valves, effectively reducing the complexity and cost of the system. 4. This method introduces hierarchical power consumption management based on energy prediction. The intelligent control unit can predict future energy income trends and proactively adjust the operating mode accordingly. This differs from existing technologies that passively wait for power to run out or rely solely on fixed thresholds for power consumption management, enabling the valve to operate more sustainably in environments with fluctuating energy levels. 5. The dynamic energy reserve function that ensures the final safe state of the solution is another core feature that distinguishes it from existing technologies. It does not rely on a fixed energy reserve threshold, but dynamically calculates the required energy based on historical power consumption and real-time fluid load changes. This adaptive mechanism can accurately assess the energy required to complete safe actions under harsh operating conditions, effectively avoiding the risk of action failure due to sudden load increases. This is something that traditional systems that rely on fixed thresholds cannot achieve. Attached Figure Description

[0016] The present invention will be further explained below with reference to the accompanying drawings and embodiments: Figure 1 This is a schematic diagram of the valve's external shaft side. Figure 2 This is a structural diagram of the generator set and the intelligent control unit; Figure 3 This is a schematic diagram of an axial flow impeller and its connection structure; Figure 4 This is a schematic diagram of the intelligent control unit; Figure 5 This is a schematic diagram of the valve's appearance. Figure 6 This is a schematic diagram of the process flow of the method of the present invention.

[0017] In the diagram: 100, valve body; 130, generator bracket; 200, generator set; 210, axial flow impeller; 220, permanent magnet micro generator; 300, intelligent control unit; 310, circuit control board; 320, energy storage element; 330, valve actuator; 331, worm gear reducer. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments. Example 1

[0019] Please see Figure 1-6 This invention provides a control method for a pipeline fluid kinetic energy self-generating intelligent valve, comprising: S1. Provide an intelligent valve and perform working condition sensing. The intelligent valve includes a valve body 100 with a built-in generator set 200 and an external intelligent control unit 300. The working condition sensing is to monitor the voltage and current signals output by the generator set 200 in real time through the intelligent control unit 300, and calculate the current fluid working condition based on a preset dynamic correlation model that characterizes voltage, current and fluid working condition, and predict the future energy income trend. S2. Perform energy prediction-driven hierarchical power consumption management, wherein the intelligent control unit 300 adaptively switches between multiple preset operating levels based on the current power of its internal energy storage element 320 and the future energy income trend predicted in step S1. S3. Dynamic energy reserve for ensuring the final safe state. The intelligent control unit 300 dynamically calculates and reserves the safety energy reserve required for one fault safety action based on the power consumption record of the last complete action of the valve actuator 330 and the current real-time fluid load calculated in step S1. When the total energy storage drops to only the safety energy reserve, the fault safety action is forcibly executed.

[0020] Model objective: The purpose of this model is to enable smart valves to sense the operating status of fluid in pipelines in real time and non-invasively without relying on additional sensors, such as flow meters or pressure gauges, and to convert this physical state information into electrical signal parameters that can be used by the control system for decision-making.

[0021] Logical structure and data flow: Data acquisition: The model receives real-time voltage and current signals from generator set 200 as input.

[0022] Query / Calculation: The circuit control board 310 of the intelligent control unit 300 inputs these real-time electrical signals into a fixed multidimensional lookup table or fitting function.

[0023] Data output: The model outputs current fluid conditions, such as flow rate, fluid load, and future energy income trends, such as growth, stability, or decline.

[0024] Physical relationships represented: This model represents the physical relationships in the entire energy conversion process, from fluid kinetic energy to mechanical energy via the impeller, and then to electrical energy via the permanent magnet micro-generator 220. It reflects the mapping relationship between fluid velocity and generator output voltage, as well as the influence of fluid load changes on generator output current, thus enabling the system to infer the physical state of the fluid by monitoring electrical signals. In one embodiment of the present invention, a control method for a pipeline fluid kinetic energy self-generating intelligent valve is provided to solve the problem that passive valves cannot be intelligently managed and their status predicted. The working condition perception in this method uses the voltage and current signals generated by the generator set 200 when it generates electricity to interpret the fluid state in the pipeline, replacing the need to add flow meters or pressure sensors, reducing the complexity of the system and potential failure points. The energy prediction-driven hierarchical power consumption management actively adjusts the valve's own power consumption strategy based on the energy income trend predicted by the perceived working condition and the current energy storage state, instead of passively waiting for the power to run out. This allows the valve to maintain effective operation for a longer period of time in environments with unstable energy acquisition.

[0025] The calculation logic for predicting future energy income trends is as follows: the intelligent control unit 300 continuously records the power generation data sequence of the generator set 200 within a preset time window; then, using linear regression, moving average, or other time series analysis algorithms, the first derivative of the power data sequence over time is calculated, i.e., the slope or rate of change; if the slope is positive, the energy income trend is judged to be increasing; if the slope is close to zero, it is stable; if the slope is negative, it is declining.

[0026] The system implements dynamic energy reservation to ensure a final safe state, abandoning fixed power thresholds. By combining the actual power consumption of the previous valve action with the current fluid load change, it dynamically calculates the energy required to ensure a safe action. This ensures that even under severe conditions of increased fluid load, the valve can complete the preset opening or closing action, thus protecting the safety of the pipeline system.

[0027] Before establishing the dynamic association model in step S1, the following steps are included: On the fluid testing platform, the fluid in the control pipeline is stably flowed through the valve at multiple known velocity levels, and the stable voltage value output by the generator set 200 at each velocity level is recorded to establish the mapping relationship between voltage and flow velocity. While keeping a specific flow rate constant, the generator load is changed and the output current value under different loads is recorded to establish the correspondence data of flow rate, load, voltage and current.

[0028] To ensure the accuracy and versatility of the model, a flow rate level covering all possible operating ranges of the valve should be used when building the model, such as from low to high flow rate, and the stable voltage value of generator set 200 should be recorded at each level. At the same time, at each flow rate level, multiple loads of different sizes need to be applied by changing the external resistance or simulating different fluid media, and the corresponding current values ​​should be recorded to comprehensively establish the multi-dimensional correspondence between flow rate, load, voltage, and current. In another embodiment of the present invention, the establishment step of the dynamic correlation model provides a data foundation for the accuracy of operating condition perception. On a controlled fluid testing platform, by changing the fluid velocity and recording the corresponding generator output voltage, the basic correspondence between voltage and flow velocity can be obtained, which reflects the core strength of energy input. Furthermore, by changing the load and recording the corresponding current at the same flow velocity, the characteristics of the fluid medium, such as the influence of changes in viscosity or external resistance on the power generation system, can be revealed. The data on the correspondence between flow velocity, load, voltage, and current formed by this series of calibration processes are solidified in the intelligent control unit 300, enabling the valve to deduce the complex fluid conditions in the pipeline simply by monitoring its own electrical signals in practical applications, providing a reliable decision-making basis for subsequent power consumption management and energy reservation.

[0029] Specifically, the correspondence data can be stored in the non-volatile memory of the intelligent control unit 300 in the form of a multidimensional lookup table or the parameters of a function fitting curve; Functional Definition: This model is a mathematical or data model that establishes a mapping relationship between the electrical signals, voltage, and current of generator set 200 and the physical states of the fluid within the pipeline, such as flow velocity and load. Its core function is to enable intelligent valves to perceive the fluid conditions inside the pipeline in real time and non-invasively, simply by monitoring their own power generation signals.

[0030] Logical Connections and Sources: This model was established through laboratory calibration and data acquisition. Specifically, on a controlled fluid testing platform, the stable voltage values ​​of generator set 200 were recorded at multiple known flow rates to establish a voltage-flow rate mapping relationship. Simultaneously, the generator load was changed at a specific flow rate, and the corresponding current values ​​were recorded to establish a multidimensional correspondence between flow rate, load, voltage, and current. This data is ultimately stored in the non-volatile memory of the intelligent control unit 300 in the form of a multidimensional lookup table or function fitting curve parameters.

[0031] Decision-making function: Real-time monitored voltage and current signals are used to calculate the current fluid operating conditions through this model, and based on this, future energy revenue trends are predicted. This prediction result is the core decision-making basis for the graded power consumption management (S2) and dynamic energy reservation (S3) functions; During actual valve operation, the intelligent control unit 300 directly performs interpolation lookup in the lookup table by monitoring the voltage and current signals in real time, or substitutes the signal values ​​into the fitting function for calculation, thereby efficiently obtaining the current fluid conditions.

[0032] The preset run levels in step S2 include: Full-function level: Allows all high-power operations when energy storage is ample and energy income trends are increasing or stable; Basic protection level: When energy storage is in a medium or declining energy income trend, reduce the frequency of data reporting and only respond to high-priority commands; Hibernation Survival Level: When energy storage is low and there is no energy intake, shut down all peripheral circuits except for core status monitoring.

[0033] To achieve adaptive switching, explicit switching thresholds can be set for each run level, for example: Full-function level: The system switches to this level when the energy storage element 320 has a charge level of more than 75% and the predicted energy income trend is increasing or stable.

[0034] Basic protection level: When the energy storage capacity is between 25% and 75%, or when the predicted energy income trend is declining, the system switches to this level.

[0035] Dormant Survival Level: When the energy storage capacity is below 25% and the predicted energy income trend is no income or severe decline, the system switches to this level.

[0036] In addition, the permitted or prohibited operations for each level should be specifically listed. For example, the full-function level allows high-frequency data reporting and remote command response; the basic assurance level only allows status reporting once per hour and critical start / stop commands; the hibernation survival level only keeps the core processor with the lowest power consumption running to monitor power and external wake-up signals. In another embodiment of the invention, the preset operating levels are specific execution strategies for hierarchical power consumption management. The full-function level ensures that when energy supply is sufficient, the valve can perform high-frequency data interaction and real-time control with external systems, fully utilizing its intelligent functions. When energy intake shows a downward trend, the basic support level reduces non-core communication tasks, concentrating limited energy on ensuring the valve's basic opening and closing control and critical status reporting, maintaining the online status of core functions. In extreme cases where the fluid is stagnant and no energy is generated, the hibernation survival level shuts down most peripheral circuits to maintain the system's basic wake-up capability with the lowest possible power consumption, waiting for the energy replenishment from the next fluid flow. This multi-level operating strategy matches the valve's energy consumption with the actual energy acquisition situation, helping to extend the overall service life of the equipment in unattended environments.

[0037] Step S3, which involves dynamically calculating the safe energy reserve, includes: Record the total power consumed by the valve actuator 330 to complete one full opening and closing action, and use it as a power consumption benchmark; The current real-time fluid load is calculated by using a dynamic correlation model to convert the real-time monitored voltage and current, and compared with the average fluid load recorded during the last operation to obtain a real-time load correction coefficient. Multiply the power consumption baseline by the real-time load correction factor to determine the safe energy reserve.

[0038] In another embodiment of the present invention, the step of dynamically calculating the safe energy reserve embodies an adaptive safety assurance mechanism; Calculating fluid load is crucial for dynamic energy reservation. Based on the previously established dynamic correlation model, by monitoring the voltage and current signals of generator set 200 in real time, a preset lookup table can be consulted or the signal values ​​can be substituted into a fitting function to directly obtain the fluid load value representing the current fluid load. For example, when the fluid viscosity increases or there are impurities in the pipeline, the resistance that the valve needs to overcome to turn will increase, and the current signal output by the generator will change accordingly. The intelligent control unit 300 will calculate a higher fluid load value based on this. Meanwhile, fail-safe actions typically refer to preset actions that are forcibly executed when the system energy is about to be depleted, designed to ensure the safety of the pipeline system. Examples include forcibly closing valves to prevent fluid leakage or overflow, or forcibly opening valves to release pressure in specific applications. The power consumption of a complete switching action is recorded to establish a power consumption benchmark that conforms to the current mechanical state of the valve. The real-time fluid load evaluated by the dynamic correlation model is compared with the historical load to obtain a real-time load correction coefficient. This coefficient directly reflects the degree of change in resistance that the valve needs to overcome to perform the current switching action. The calculation logic of the real-time load correction coefficient is to divide the current real-time fluid load value converted by the dynamic correlation model by the average fluid load value recorded during the previous complete switching action. The inputs to this process are: the total power consumed by the valve actuator 330 during its last complete action, as the power consumption benchmark; and the current real-time fluid load calculated through the dynamic correlation model and the average fluid load recorded during the last action. Record the total power consumed by the valve actuator 330 to complete one full switching action, and store it as a power consumption benchmark.

[0039] Using a dynamic correlation model, the voltage and current signals output by the generator set 200, which are monitored in real time, are converted into the current real-time fluid load.

[0040] The real-time fluid load value is compared with the average fluid load value recorded during the previous operation, and a real-time load correction factor is calculated, expressed by the formula:

[0041] in, This is a real-time load correction factor. For the current real-time fluid load, The average fluid load recorded during the last action; for example, if the current real-time load is twice the average load during the last action, then the correction factor is 2. Multiply the power consumption benchmark by the real-time load correction factor calculated in step three to obtain the dynamically calculated safe energy reserve. The final output of the process is a safety energy reserve, which is used to compare with the current total power of the energy storage element 320. When the total energy storage drops to only this reserve value, the system will force a fail-safe action to ensure the safety of the pipeline system.

[0042] For example, when increased impurities in the pipeline lead to greater resistance to valve rotation, the real-time load will increase accordingly, and the correction factor will be greater than one. Multiplying the power consumption baseline by this correction factor yields a more accurate reserve value adjusted according to the current actual operating conditions. This ensures that the reserved energy is always sufficient to meet the current operational challenges, avoiding the risk of valve failure at critical moments due to sudden load increases. Example 2

[0043] Please see Figure 5 A smart valve for self-generating pipeline fluid kinetic energy, comprising: The valve body 100 has a built-in flow channel and a valve core for opening and closing the flow channel; The generator set 200 is built into the flow channel of the valve body 100 and is used to convert fluid kinetic energy into electrical energy and output voltage and current signals characterizing the fluid operating conditions. The intelligent control unit 300, fixed to the outside of the valve body 100, includes: Energy storage element 320 is used to store electrical energy generated by generator set 200; Valve actuator 330 is connected to the valve core to drive its action; The circuit control board 310 is electrically connected to the generator set 200, the energy storage element 320, and the valve actuator 330. The circuit control board 310 is used to: perform operating condition perception and energy trend prediction based on the voltage and current signals output by the generator set 200 and a preset dynamic correlation model; perform hierarchical power consumption management based on the prediction results and the power of the energy storage element 320; and dynamically reserve the energy required for the final safe action based on historical power consumption and real-time operating conditions.

[0044] In another embodiment of the present invention, a pipeline fluid kinetic energy self-generating intelligent valve has a valve body 100 that provides a channel for fluid and accommodates a valve core for opening and closing. A generator set 200, built into the flow channel, is the energy source for the entire system. While converting fluid kinetic energy into electrical energy, its output electrical signal also serves as a natural source for sensing fluid operating conditions. An intelligent control unit 300, fixed outside the valve body 100, integrates energy storage and utilization. An energy storage element 320 is responsible for collecting and storing the electrical energy generated by the generator set 200. The connection between the valve actuator 330 and the valve core is for physically driving the valve core. Any connection method that can transmit torque to cause the valve core to rotate falls within the protection scope. For example, the output end of the valve actuator 330 can be configured as a hole with a keyway, cooperating with the key at the upper end of the valve stem; or, the output shaft of the actuator can be directly connected to the valve stem via a coupling. The intelligent control unit 300 serves as the control core. It receives signals from the generator set 200, manages the electrical energy in the energy storage element 320, and issues commands to the valve actuator 330. For example, the intelligent control unit 300 can use a microcontroller with an integrated analog-to-digital converter interface and a general-purpose input / output interface as its core processor, such as the STM32 series microcontroller from STMicroelectronics. The analog-to-digital converter interface is used to acquire the voltage and current signals of the generator set 200 in real time, and the general-purpose input / output interface is used to control the start, stop, and direction of the valve actuator 330.

[0045] By implementing the aforementioned control methods, the entire valve device becomes an integrated system that is energy self-sufficient, intelligently managed, and safe in operation.

[0046] Generator set 200 includes: The axial flow impeller 210 is directly exposed to the fluid in the pipe; The permanent magnet micro generator 220 has its rotor coaxially connected to the axial flow impeller 210, and its stator is fixed on the generator bracket 130 located inside the valve body 100.

[0047] In another embodiment of the invention, the generator set 200 is constructed from specific components to adapt to the environment inside the pipeline. The blade configuration of the axial flow impeller 210 is designed to effectively capture the axial kinetic energy of the fluid and convert it into rotational motion; the permanent magnet micro generator 220, coaxially connected to it, has a rotor that rotates synchronously with the impeller, inducing current in the stator winding, thus realizing the conversion from mechanical energy to electrical energy; this entire assembly is fixed on the generator bracket 130 inside the valve body 100. The shape of the bracket is designed to reduce disturbance to the fluid and ensure that its own structure does not interfere with the movement trajectory of the valve core, thereby maintaining the normal flow capacity of the pipeline while generating electricity.

[0048] The generator set 200 also includes a combined sealing structure, wherein a skeleton oil seal for dynamic sealing is provided at the point where the shaft of the permanent magnet micro generator 220 extends out of the generator bracket 130; and epoxy resin potting is used to achieve static sealing at the opening where the wires connecting the circuit control board 310 pass through the valve body 100.

[0049] In another embodiment of the invention, the combined sealing structure ensures the long-term reliable operation of the generator set 200. A skeleton oil seal is used for dynamic sealing on the rotating shaft of the permanent magnet micro-generator 220, effectively preventing fluid from seeping into the generator along the shaft gap while allowing smooth shaft rotation. For stationary components such as the wires connecting the intelligent control unit 300, epoxy resin is used to integrally pot the openings through the valve body 100, forming a dense, gapless static seal structure. The combination of dynamic and static seals completely isolates the electrical components of the generator set 200 from the fluid in the pipeline, preventing short circuits or corrosion caused by liquid intrusion and improving the environmental tolerance and service life of the entire device.

[0050] The energy storage element 320 is a combination of a supercapacitor and a lithium battery.

[0051] In another embodiment of the invention, the energy storage element 320 employs a combination of a supercapacitor and a lithium battery to utilize the complementary characteristics of the two energy storage devices. The supercapacitor possesses rapid charging and discharging capabilities, effectively absorbing instantaneous energy pulses generated by fluid pulsation or turbulence, and providing support for the large current required to start the valve actuator 330, thus helping to extend the cycle life of the entire energy storage system. The lithium battery, on the other hand, has a high energy density, suitable for long-term energy storage, providing energy assurance for the valve to maintain basic functions during periods of fluid inactivity. More importantly, the lithium battery built into the new valve has an initial charge, which guarantees the valve's first action. When the valve is first activated and opened, the fluid in the pipeline begins to flow and drives the generator set 200 to generate electricity. At this time, the system switches to self-generating mode, and the generated electricity not only meets the daily operation of the valve but also recharges the lithium battery, ensuring the energy source for subsequent valve operation and achieving the goal of long-term maintenance-free operation. The combination of these two technologies allows the energy storage system to balance power response speed and energy storage capacity, improving the valve's adaptability to changing operating conditions.

[0052] The valve actuator 330 is a DC geared motor, which integrates a worm gear reducer 331. The output end of the DC geared motor is matched with the valve stem of the valve core.

[0053] In another embodiment of the present invention, the valve actuator 330 uses a DC geared motor with an integrated worm gear reducer 331 to achieve precise and reliable drive of the valve core. The DC geared motor itself can convert electrical energy into rotational motion, while the integrated worm gear reducer 331, with its large reduction ratio, converts the high-speed, low-torque output of the motor into the low-speed, high-torque power required to drive the valve core, which is sufficient to overcome the resistance of the fluid pressure on the valve core. In addition, the worm gear structure usually has a self-locking characteristic, that is, when the motor is de-energized, it can maintain the position of the valve core by mechanical engagement, which reduces the energy consumption required to maintain the valve opening. The output end of the actuator cooperates with the valve core and valve stem to form an execution link from electrical energy to the final mechanical action. As a specific implementation of the power mechanism, in addition to the DC geared motor, a stepper motor with a planetary reducer can also be selected according to the torque and response speed requirements, or standard components such as electric push rods can be used in specific situations.

[0054] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A control method of a pipeline fluid kinetic energy self-generating electricity intelligent valve, characterized in that, include: S1. Provide an intelligent valve and perform working condition sensing. The intelligent valve includes a valve body (100) with a built-in generator set (200) and an intelligent control unit (300) set externally. The working condition sensing is to monitor the voltage and current signals output by the generator set (200) in real time through the intelligent control unit (300), and calculate the current fluid working condition based on a preset dynamic correlation model that characterizes voltage, current and fluid working condition, and predict the future energy income trend. S2. Perform energy prediction-driven hierarchical power consumption management, wherein the intelligent control unit (300) adaptively switches between multiple preset operating levels based on the current power of its internal energy storage element (320) and the future energy income trend predicted in step S1. S3. Dynamic energy reserve for ensuring the final safe state, wherein the intelligent control unit (300) is based on the power consumption record of the last complete action of the valve actuator (330) and is corrected in combination with the current real-time fluid load calculated in step S1. It dynamically calculates and reserves the safety energy reserve required for one fault safety action. When the total energy storage drops to only the safety energy reserve, the fault safety action is forcibly executed. The dynamic calculation of the safety energy reserve in step S3 includes: The total amount of electricity consumed by the valve actuator (330) to complete one full switching action is recorded as a power consumption benchmark; The dynamic correlation model is used to calculate the current real-time fluid load from the real-time monitored voltage and current, and compare it with the average fluid load recorded during the last operation to obtain a real-time load correction coefficient. The power consumption benchmark is multiplied by the real-time load correction factor to determine the safe energy reserve.

2. The control method of the pipe fluid kinetic energy self-generating electric intelligent valve according to claim 1, characterized in that, Before establishing the dynamic association model in step S1, the following steps are included: On the fluid testing platform, the fluid in the control pipeline is stably flowed through the valve at multiple known velocity levels, and the stable voltage value output by the generator set (200) at each velocity level is recorded to establish a mapping relationship between voltage and flow rate. While keeping a specific flow rate constant, the generator load is changed and the output current value under different loads is recorded to establish the correspondence data of flow rate, load, voltage and current.

3. The control method of a pipe fluid kinetic energy self-generating electric intelligent valve according to claim 1, characterized in that, The preset operating levels in step S2 include: Full-function level: Allows all high-power operations when energy storage is ample and energy income trends are increasing or stable; Basic protection level: When energy storage is in a medium or declining energy income trend, reduce the frequency of data reporting and only respond to high-priority commands; Hibernation Survival Level: When energy storage is low and there is no energy intake, shut down all peripheral circuits except for core status monitoring.

4. A pipeline fluid kinetic energy self-generating intelligent valve, applied to the control method of the pipeline fluid kinetic energy self-generating intelligent valve according to any one of claims 1 to 3, characterized in that, include: The valve body (100) has a built-in flow channel and a valve core for opening and closing the flow channel; The generator set (200) is built into the flow channel of the valve body (100) and is used to convert fluid kinetic energy into electrical energy and output voltage and current signals characterizing fluid operating conditions. Intelligent control unit (300), fixed to the outside of valve body (100), includes: An energy storage element (320) is used to store the electrical energy generated by the generator set (200); A valve actuator (330) is connected to the valve core to drive its action; The circuit control board (310) is electrically connected to the generator set (200), the energy storage element (320), and the valve actuator (330). The circuit control board (310) is used to: perform working condition perception and energy trend prediction based on the voltage and current signals output by the generator set (200) and a preset dynamic correlation model; perform hierarchical power consumption management based on the prediction results and the power of the energy storage element (320); and dynamically reserve the energy required for the final safe action based on historical power consumption and real-time working conditions.

5. The intelligent valve for self-generating pipeline fluid kinetic energy according to claim 4, characterized in that, The generator set (200) includes: The axial flow impeller (210) is directly exposed to the fluid in the pipe; The permanent magnet micro generator (220) has its rotor coaxially connected to the axial flow impeller (210), and its stator is fixed on the generator bracket (130) located inside the valve body (100).

6. The intelligent valve for self-generating pipeline fluid kinetic energy according to claim 5, characterized in that, The generator set (200) also includes a combined sealing structure, wherein a skeleton oil seal for dynamic sealing is provided at the point where the shaft of the permanent magnet micro generator (220) extends out of the generator bracket (130); and epoxy resin potting is used to achieve static sealing at the opening where the wire connecting the circuit control board (310) passes through the valve body (100).

7. The intelligent valve for self-generating pipeline fluid kinetic energy according to claim 4, characterized in that, The energy storage element (320) is a combination of a supercapacitor and a lithium battery.

8. The intelligent valve for self-generating pipeline fluid kinetic energy according to claim 4, characterized in that, The valve actuator (330) is a DC geared motor, which integrates a worm gear reducer (331). The output end of the DC geared motor is engaged with the valve stem of the valve core.

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