A high pressure natural gas cylinder valve block and control system for the valve block
By integrating edge computing units and multi-functional sensors, combined with encrypted wireless communication, the system addresses the issues of insufficient sensing and safety in high-pressure natural gas cylinder valve groups, enabling real-time monitoring and precise resource management of valves, thereby enhancing the system's intelligence and security.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- YANCHENG JINDONG HYDRAWLIC MASCH CO LTD
- Filing Date
- 2026-03-05
- Publication Date
- 2026-06-12
AI Technical Summary
Existing high-pressure natural gas cylinder valve assemblies have shortcomings in terms of sensing dimensions, diagnostic capabilities, metering accuracy, control logic, and communication security. They cannot achieve real-time monitoring of the entire valve status and precise resource management, and they also suffer from low sensitivity in data leakage detection and weak communication security.
The system employs an edge computing unit for health status assessment and gas volume estimation, integrates multi-functional sensors for five-dimensional perception, combines an encrypted wireless communication module to achieve bidirectional data transmission, and enhances the system's intelligence and security through adaptive diagnostics and conditional security lockout strategies.
It enables real-time monitoring of the entire valve status, improves early fault warning capabilities and the accuracy of gas supply scheduling, enhances system safety and reliability, and meets the requirements of IoT safety specifications.
Smart Images

Figure CN122191450A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of high-pressure natural gas storage and control technology, and relates to a high-pressure natural gas cylinder valve group and a control system for the valve group. Background Technology
[0002] High-pressure natural gas cylinders are widely used in vehicle, marine, and stationary gas supply systems. Current high-pressure natural gas cylinder valve assemblies typically consist of a manual shut-off valve, a safety relief valve, and a mechanical pressure gauge. This type of structure can only achieve basic on / off control and pressure indication, and cannot obtain operational status information of the valve itself.
[0003] Existing technologies generally use the ideal gas law to estimate remaining gas volume. This method assumes that the gas behaves ideally and ignores intermolecular forces and volume effects under high pressure. Within the operating pressure range of 20MPa to 25MPa, actual gas behavior deviates significantly from ideal behavior, resulting in gas volume estimation errors often exceeding ±15%. This deviation seriously affects the accuracy of gas supply scheduling and can easily lead users to misjudge the remaining available resources.
[0004] In leak detection, most solutions employ catalytic combustion methane sensors. These sensors require oxygen to participate in the chemical reaction for proper functioning. However, the sealing chamber of high-pressure natural gas cylinder valve assemblies is normally located in an oxygen-free or high-concentration methane environment, causing a significant decrease in the sensitivity of catalytic combustion sensors, or even their failure. Therefore, existing systems struggle to effectively identify early-stage micro-leaks.
[0005] Furthermore, existing remote monitoring systems often employ plaintext transmission or simple encoding methods, resulting in weak communication security. In IoT application scenarios, there are risks of data eavesdropping, command forgery, or unauthorized access to devices. Additionally, some systems immediately shut off valves upon communication interruption, failing to consider the normal operation requirements in weak network environments, which can easily lead to erroneous shutdowns and affect system availability.
[0006] In summary, existing high-pressure natural gas cylinder valve assemblies have significant shortcomings in terms of sensing dimensions, diagnostic capabilities, metering accuracy, control logic, and communication security. There is an urgent need for a new control system that integrates multi-dimensional in-situ sensing, edge intelligent diagnostics, closed-loop safety control, and reliable remote communication to achieve real-time monitoring of the valve's entire status, early fault warning, and precise resource management. Summary of the Invention
[0007] To address the problems existing in the background art, the present invention proposes a high-pressure natural gas cylinder valve assembly and a control system for the valve assembly.
[0008] The first aspect of this application provides a control system for a high-pressure natural gas cylinder valve assembly, used for controlling the high-pressure natural gas cylinder valve assembly; The control system includes an edge computing unit, a safety drive circuit, and an encrypted wireless communication module. The edge computing unit is used to receive sensor signals and perform health status assessment and gas volume estimation. The safety drive circuit is connected to the edge computing unit and the electric actuator of the valve core, and is used to control the valve core to move according to the instructions of the edge computing unit. The encrypted wireless communication module is connected to the edge computing unit and is used to realize bidirectional encrypted data communication with the remote management platform.
[0009] Optionally, the edge computing unit runs a valve health index calculation model, and the formula for calculating the valve health index is: ; Where H represents the valve health index; The valve position command angle issued by the edge computing unit; The actual valve spool angle fed back by the valve position sensor; This represents the maximum mechanical opening angle of the valve. The vibration amplitude measured by the vibration accelerometer; The vibration threshold is dynamically set. The methane concentration output by the methane leak detection sensor; This is the baseline concentration value corresponding to the lower explosive limit of methane. This represents the weighting coefficient corresponding to the valve core angle deviation term; This represents the weighting coefficient corresponding to the vibration amplitude term; This represents the weighting coefficient corresponding to the methane leakage concentration term; t indicates that the weighting coefficient is a quantity that changes with time or system operation phase. , , To meet The weighting coefficients.
[0010] Optionally, the weighting coefficient , , Adjust dynamically according to the system's operational phases, increasing the valve's size during the start-up phase. The value of increases during the steady-state gas supply phase. The value of increases during the valve closing phase. The value of .
[0011] Optionally, the dynamic vibration threshold The system updates itself based on vibration data from historical normal opening and closing operations, using the following method: ;in, This represents the average vibration amplitude during a preset number of normal opening and closing operations in the past. This represents the corresponding standard deviation.
[0012] Optionally, the edge computing unit runs a remaining available gas volume estimation model, and the formula for calculating the remaining available gas volume is: ; in, This represents the volume of usable natural gas remaining in the high-pressure natural gas cylinder. Indicates the absolute pressure of the gas inside the bottle; Indicates the water volume of the connected high-pressure natural gas cylinder; It represents the compressibility factor, used to correct for the degree to which natural gas deviates from the ideal gas behavior under high pressure; Represents the universal gas constant; Indicates the absolute temperature of the bottle wall surface; Indicates the molar mass of methane. It characterizes the degree to which a real gas deviates from the behavior of an ideal gas under given pressure and temperature conditions.
[0013] Optionally, when the encrypted wireless communication module fails to receive a heartbeat confirmation signal from the remote management platform for a continuous period of time and the current valve health index is greater than or equal to a preset health threshold, the control system triggers a safety lockout mode, closes the valve core, and saves the event log.
[0014] Optionally, the encrypted wireless communication module uses a symmetric encryption algorithm to encrypt the transmitted data and establishes a secure communication channel with the remote management platform through an elliptic curve key negotiation mechanism, while also supporting two-way identity authentication based on digital certificates.
[0015] The second aspect of this application provides a natural gas cylinder valve assembly for implementing a control system for the high-pressure natural gas cylinder valve assembly. The high-pressure natural gas cylinder valve assembly includes a main control valve body, a valve core, and a multi-functional sensing component integrated on the main control valve body. The main control valve body is provided with a rotatable valve core. The multi-functional sensing component includes a pressure sensor, a temperature sensor, a valve position sensor, a methane leak detection sensor, and a vibration accelerometer.
[0016] Optionally, the valve position sensor is a non-contact angle sensor, which detects the actual rotation angle of the valve core by cooperating with a permanent magnet located at the end of the valve core and a Hall element fixed to the stationary part of the main control valve body.
[0017] Optionally, the methane leak detection sensor is an infrared methane sensor, which is installed at the outlet of the guide cavity downstream of the valve seat seal in the main control valve body, and is used to detect the methane gas concentration.
[0018] Compared with the prior art, the present invention has the following beneficial effects: First, this invention integrates a pressure sensor, temperature sensor, valve position sensor, methane leak detection sensor, and vibration accelerometer on the main control valve body, enabling synchronous in-situ sensing of gas pressure inside the cylinder, valve body wall temperature, actual valve core rotation angle, methane concentration in the sealing area, and vibration amplitude during opening and closing. This five-dimensional sensing system covers key dimensions of valve mechanical condition, sealing performance, and operating environment, overcoming the limitations of existing technologies that only monitor a single pressure parameter, and providing a data foundation for comprehensive condition assessment.
[0019] Secondly, the edge computing unit calculates the valve health index based on a weighted average of the deviation between the target rotation angle and the actual rotation angle of the valve core, the ratio of the current vibration amplitude to the dynamic vibration threshold, and the ratio of the methane gas concentration to the lower explosive limit of methane. The dynamic vibration threshold is updated through self-learning based on vibration data from historical normal opening and closing operations, effectively eliminating misjudgments caused by differences in the installation environment. The weighting coefficients are dynamically adjusted according to the system operation phase, emphasizing vibration anomaly identification during startup, strengthening leakage monitoring during steady-state gas supply, and ensuring position accuracy during valve closure. This adaptive diagnostic mechanism significantly improves the early fault identification rate and warning lead time.
[0020] Third, the edge computing unit employs a residual available gas volume calculation model based on the real gas equation of state, introducing a compressibility factor to correct for gas non-idealities under high pressure. The compressibility factor is determined in real time through a pre-stored two-dimensional lookup table combined with bilinear interpolation, keeping the gas volume estimation error within ±5%. Compared to traditional ideal gas models, this method significantly improves the accuracy of gas supply scheduling, avoiding premature supply interruptions or resource waste caused by misjudgments of gas volume.
[0021] Fourth, the control system employs a conditional safety locking strategy. Automatic valve closure is only triggered when communication is interrupted and the valve health index is not lower than a preset threshold. This logic prevents accidental valve closure due to simple communication loss in weak network environments such as underground garages or tunnels, balancing system safety and operational availability. Simultaneously, the mechanical emergency manual knob is directly coupled to the valve core transmission mechanism, enabling physical operation even in the event of power failure or electronic malfunction, ensuring emergency response capabilities under extreme conditions.
[0022] Fifth, the encrypted wireless communication module employs advanced encryption standard algorithms and elliptic curve key negotiation mechanisms, and performs two-way digital certificate authentication. All transmitted data includes timestamps, sequence numbers, and checksums, effectively preventing data eavesdropping, replay attacks, and unauthorized device access, meeting national IoT security standards.
[0023] In summary, this invention, through the collaborative design of structural integration, intelligent diagnosis, precise metering, safety control, and reliable communication, realizes the transformation of high-pressure natural gas cylinder valve groups from passive protection to proactive health management, significantly improving the system's safety, reliability, intelligence level, and remote management capabilities. Attached Figure Description
[0024] Figure 1 This is a schematic diagram of a high-pressure natural gas cylinder valve group control system in one embodiment of the present invention. Detailed Implementation
[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0026] In one embodiment, such as Figure 1 As shown, a high-pressure natural gas cylinder valve group control system is provided, including: a high-pressure natural gas cylinder valve group and a control system. Detailed descriptions of each functional module are as follows: In this invention, the control system includes an edge computing unit, a safety drive circuit, and an encrypted wireless communication module. The edge computing unit receives sensor signals and performs health status assessment and gas volume estimation. The safety drive circuit is connected to the edge computing unit and the electric actuator of the valve core, and controls the valve core's movement according to the instructions of the edge computing unit. The encrypted wireless communication module is connected to the edge computing unit and enables bidirectional encrypted data communication with a remote management platform. The high-pressure natural gas cylinder valve assembly includes a main control valve body, a valve core, and a multi-functional sensing component integrated on the main control valve body. The main control valve body contains a rotatable valve core. The multi-functional sensing component includes a pressure sensor, a temperature sensor, a valve position sensor, a methane leak detection sensor, and a vibration accelerometer.
[0027] The high-pressure natural gas cylinder valve assembly includes a main control valve body, a valve core, and a multi-functional sensing component integrated on the main control valve body. The multi-functional sensing component includes a multi-functional sensing mounting base and integrated pressure sensor, temperature sensor, valve position sensor, methane leak detection sensor, and vibration accelerometer within the mounting base. The main control valve body is integrally forged from 316L stainless steel and has an internal air intake channel. The valve core is rotatably mounted within the main control valve body, with a rotation stroke of 0 to 90 degrees, used to control the opening and closing of the air intake channel. The pressure sensor is a MEMS piezoresistive sensor, installed at the center of the air intake channel, used to detect the absolute gas pressure, with a range of 0 Pa to 35 MPa. The temperature sensor is a thin-film platinum resistance thermometer (PT1000), attached to the inner side of the main control valve body's outer wall, used to detect the wall temperature, with a measurement range of 233 K to 373 K. The valve position sensor is a non-contact angle sensor used to detect the actual rotation angle of the valve core. The methane leak detection sensor is an infrared methane concentration sensor used to detect the methane gas concentration downstream of the sealing area of the main control valve body, with a detection lower explosive limit (LEL) concentration of 1%. The vibration accelerometer is a triaxial MEMS accelerometer mounted on the flange face of the main control valve body, used to detect the vibration amplitude during opening and closing. The main control valve body is equipped with an emergency manual knob, which is mechanically linked to the valve core, enabling direct opening or closing of the valve core in the event of a power outage or control system failure.
[0028] The control system includes an edge computing unit, a safety drive circuit, an encrypted wireless communication module, and a local human-machine interface. The edge computing unit uses an ARM Cortex-M7 architecture microcontroller with a main frequency of 480 MHz and 512 KB of built-in RAM. It is electrically connected to pressure sensors, temperature sensors, valve position sensors, methane leak detection sensors, and vibration accelerometers, with a sampling frequency of no less than 10 Hz. The edge computing unit is electrically connected to the safety drive circuit, which generates valve core control commands based on sensor signals. The safety drive circuit is electrically connected to the electric actuator of the valve core, with an output torque of no less than 5 N. The system ensures reliable start-up and shutdown under a back pressure of 35 MPa. The encrypted wireless communication module supports NB-IoT and LoRa dual-mode communication and connects to the edge computing unit via an SPI bus to achieve bidirectional encrypted data transmission with the remote management platform. The local human-machine interface includes red and green LED status indicators and a mechanical emergency manual knob to provide local status prompts and emergency operation functions.
[0029] The valve position sensor consists of a Hall element fixed to the stationary part of the main control valve body and a radially magnetized permanent magnet ring embedded at the end of the valve core. The Hall element outputs an analog voltage signal proportional to the actual rotation angle of the valve core, based on the change in the magnetic field generated by the permanent magnet ring as the valve core rotates. This non-contact design avoids mechanical wear and improves long-term operational reliability.
[0030] The methane leak detection sensor is located at the outlet of a micron-sized guide cavity extending downstream of the main control valve body seal. The guide cavity has a cross-sectional dimension of 0.5mm × 0.5mm and a length of 10mm, and is used to directionally guide potentially leaking gas to the sensor's detection window. Utilizing infrared principles, the methane leak detection sensor requires no oxygen for the reaction, can operate stably in a pure methane environment, and has a response time of less than 15 seconds.
[0031] The edge computing unit is configured to perform valve health status assessment. The valve health index calculation model is run by the edge computing unit, and the formula for calculating the valve health index is as follows: ; Where H represents the valve health index; The valve position command angle issued by the edge computing unit; The actual valve spool angle fed back by the valve position sensor; This represents the maximum mechanical opening angle of the valve. The vibration amplitude measured by the vibration accelerometer; The vibration threshold is dynamically set. The methane concentration output by the methane leak detection sensor; This is the baseline concentration value corresponding to the lower explosive limit of methane. This represents the weighting coefficient corresponding to the valve core angle deviation term, used to reflect the degree of influence of the deviation between the target rotation angle and the actual rotation angle of the valve core on the valve's health status. This represents the weighting coefficient corresponding to the vibration amplitude term, used to reflect the degree of impact of the current vibration level's abnormality relative to the dynamic threshold on the valve's health status. The weighting coefficient corresponding to the methane leakage concentration term reflects the influence of the ratio of the methane concentration measured by the micro-leakage detection sensor to the lower explosion limit reference value on the valve's health status; t indicates that the weighting coefficient is a quantity that changes with time or system operation stage; , , To meet The weighting coefficients.
[0032] The valve health index is calculated by weighting the deviation between the target and actual rotation angles of the valve core, the ratio of the current vibration amplitude to the dynamic vibration threshold, and the ratio of the methane gas concentration to the lower explosive limit of methane. The dynamic vibration threshold is updated through self-learning based on vibration data from historical normal opening and closing operations. Specifically, the dynamic vibration threshold is equal to the arithmetic mean of the vibration amplitudes from a preset number of historical normal opening and closing operations plus three times the standard deviation of that mean. This method effectively eliminates vibration benchmark differences caused by variations in vehicle type, mounting bracket stiffness, or road conditions.
[0033] The weighting coefficients are dynamically adjusted according to the system's operational phases. During the startup phase, vibration-related terms have the highest weight, set at 0.6; during the steady-state gas supply phase, i.e., the continuous gas supply period after the valve position stabilizes, methane gas concentration-related terms have the highest weight, set at 0.5; and during the valve closing phase, i.e., the period from receiving the valve closing command to complete closure, valve core angle deviation-related terms have the highest weight, set at 0.7. This adaptive mechanism significantly improves the fault identification sensitivity under different operating conditions.
[0034] Wherein, the dynamic vibration threshold The system updates itself based on vibration data from historical normal opening and closing operations, using the following method: ;in, This represents the average vibration amplitude during a preset number of normal opening and closing operations in the past. This represents the corresponding standard deviation.
[0035] The edge computing unit is also configured to calculate the remaining available gas volume. The formula for calculating the remaining available gas volume is: ; in, This refers to the volume of remaining usable natural gas in the high-pressure natural gas cylinder, expressed in Nm³ (standard cubic meters, referring to the volume at 0℃ and 101325 Pa). This indicates the absolute pressure of the gas inside the bottle, expressed in Pa. This indicates the water volume of the connected high-pressure natural gas cylinder, in cubic meters (m³). 3 The typical value is 0.08m. 3 ; The absolute temperature of the bottle wall is expressed in Kelvin (K); R represents the universal gas constant, with a value of 8.314 J / (mol). K); The value represents the molar mass of methane, taken as 0.016 kg / mol; Z represents the compressibility factor, a dimensionless quantity that reflects the degree to which a gas deviates from its ideal behavior under high pressure. The compressibility factor is a dimensionless physical quantity used to characterize the degree to which a real gas deviates from the ideal gas behavior under given pressure and temperature conditions. When a gas is under high pressure, the intermolecular forces and the volume of the molecules themselves cannot be ignored. At this point, the gas no longer follows the ideal gas law, and the compressibility factor must be introduced for correction.
[0036] In this invention, It's pressure and temperature The value of the function varies with the absolute pressure and absolute temperature of the gas inside the bottle. The model is implemented using the lightweight AGA8-DC92 algorithm. Based on the thermodynamic properties of natural gas, this algorithm calculates the gas volume in real-time using a two-dimensional lookup table combined with bilinear interpolation within a preset pressure and temperature range. The value of Z is determined by a pre-stored 20×20 compressibility factor two-dimensional lookup table combined with bilinear interpolation, covering a pressure range of 0 MPa to 35 MPa and a temperature range of 233 K to 373 K. Experimental results show that the model's gas volume estimation error is +3.8% under conditions of 25 MPa and 298 K, significantly better than the -14.2% error of the ideal gas model.
[0037] The edge computing unit is configured to execute conditional safety lockout. The system enters safety lockout mode when both of the following conditions are met simultaneously: 1. No confirmation signal is received from the remote management platform for two consecutive communication heartbeat cycles; 2. The currently calculated valve health index is not less than 0.3. After entering safety lockout mode, the edge computing unit controls the safety drive circuit to close the valve core and cuts off the power supply to the electric actuator, while illuminating the red LED indicator and saving the event log. The mechanical emergency manual knob can physically bypass all electronic control logic, allowing manual opening or closing of the valve core in the power-off state.
[0038] The encrypted wireless communication module uses the AES-128-GCM algorithm to encrypt transmitted data and generates a session key through an ECDH (Elliptic Curve Diffie-Hellman) key negotiation mechanism. X.509 two-way digital certificate authentication is performed upon communication establishment. Each data frame contains a UTC timestamp, a 32-bit sequence number, a CRC32 checksum, and a digital signature, effectively resisting replay, tampering, and man-in-the-middle attacks.
[0039] For example, taking a vehicle CNG system as an example, the valve assembly of this invention is installed at the outlet of a natural gas cylinder with a water volume of 0.08 m³ and a working pressure of 20 MPa. After the system is powered on, the edge computing unit initializes each sensor and establishes an encrypted communication link with the cloud platform. When the vehicle starts, it receives the valve opening command from the ECU, and the safety drive circuit drives the valve core to rotate to the 90-degree fully open position within 2 seconds. During operation, the edge computing unit collects data once per second to calculate the health index and remaining gas volume. In one test, the system detected that the methane leak detection sensor output a concentration of 6% LEL, and at the same time, the valve position feedback angle lagged behind the command angle by 5 degrees for 3 seconds, and the vibration amplitude suddenly increased to 0.8 m / s. 2 The historical average is 0.3 m / s. 2 Standard deviation 0.1 m / s 2 The dynamic threshold is 0.6 m / s 2The edge computing unit calculated a health index of 0.62, determining a serious anomaly. It immediately shut off the valve core, illuminated a red LED, and reported the fault code "LEAK+STUCK" via the NB-IoT module. The user checked the remaining gas volume as 8.2 Nm³ via a mobile app. 3 Traditional methods show 9.5 Nm 3 The reading is highly consistent with the measured value of 8.3 Nm³ obtained by the weighing method. In another test, a vehicle entering an underground parking garage caused a 70-second communication interruption, but because the health index was 0.15, which is below 0.3, the system did not trigger valve closure, ensuring normal gas supply. The standby power consumption of the entire unit is 42 μA, and the theoretical battery life exceeds 5 years.
[0040] This invention achieves comprehensive status perception, early fault warning, precise resource management and intrinsic safety control of high-pressure natural gas cylinder valve groups through technological innovations such as five-dimensional in-situ sensing integration, adaptive health assessment, real gas volume correction, conditional safety locking and end-to-end encrypted communication.
[0041] The various modules in the aforementioned high-pressure natural gas cylinder valve assembly and the control system used for the valve assembly can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or they can be stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.
[0042] In one embodiment, a high-pressure natural gas cylinder valve assembly is provided for implementing a control system for the aforementioned high-pressure natural gas cylinder valve assembly. The natural gas cylinder valve assembly includes a main control valve body, a valve core, and a multi-functional sensing component integrated on the main control valve body; the main control valve body contains a rotatable valve core; the multi-functional sensing component includes a pressure sensor, a temperature sensor, a valve position sensor, a methane leak detection sensor, and a vibration accelerometer.
[0043] Optionally, the valve position sensor is a non-contact angle sensor, which detects the actual rotation angle of the valve core by cooperating with a permanent magnet located at the end of the valve core and a Hall element fixed to the stationary part of the main control valve body.
[0044] Optionally, the methane leak detection sensor is an infrared methane sensor, installed at the outlet of the guide cavity downstream of the valve seat seal in the main control valve body, for detecting the methane gas concentration.
[0045] For specific limitations on the valve assembly of high-pressure natural gas cylinders, please refer to the limitations on the control system of high-pressure natural gas cylinder valve assemblies mentioned above, which will not be repeated here.
[0046] Those skilled in the art will understand that all or part of the processes in the systems described in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.
[0047] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A high-pressure natural gas cylinder valve group control system, characterized in that, Used for controlling valve assemblies of high-pressure natural gas cylinders; The control system includes an edge computing unit, a safety drive circuit, and an encrypted wireless communication module. The edge computing unit is used to receive sensor signals and perform health status assessment and gas volume estimation. The safety drive circuit is connected to the edge computing unit and the electric actuator of the valve core, and is used to control the valve core to move according to the instructions of the edge computing unit. The encrypted wireless communication module is connected to the edge computing unit and is used to realize bidirectional encrypted data communication with the remote management platform.
2. The high-pressure natural gas cylinder valve group control system according to claim 1, characterized in that, The edge computing unit runs a valve health index calculation model, and the formula for calculating the valve health index is as follows: ; Where H represents the valve health index; The valve position command angle issued by the edge computing unit; The actual valve spool angle fed back by the valve position sensor; This represents the maximum mechanical opening angle of the valve. The vibration amplitude measured by the vibration accelerometer; The vibration threshold is dynamically set. The methane concentration output by the methane leak detection sensor; This is the baseline concentration value corresponding to the lower explosive limit of methane. This represents the weighting coefficient corresponding to the valve core angle deviation term; This represents the weighting coefficient corresponding to the vibration amplitude term; This represents the weighting coefficient corresponding to the methane leakage concentration term; t indicates that the weighting coefficient is a quantity that changes with time or system operation phase. , , To meet The weighting coefficients.
3. The high-pressure natural gas cylinder valve group control system according to claim 2, characterized in that, The weighting coefficient , , Adjust dynamically according to the system's operational phases, increasing the valve's size during the start-up phase. The value of increases during the steady-state gas supply phase. The value of increases during the valve closing phase. The value of .
4. The high-pressure natural gas cylinder valve group control system according to claim 2, characterized in that, The dynamic vibration threshold The system updates itself based on vibration data from historical normal opening and closing operations, using the following method: ;in, This represents the average vibration amplitude during a preset number of normal opening and closing operations in the past. This represents the corresponding standard deviation.
5. The high-pressure natural gas cylinder valve group control system according to claim 1, characterized in that, The edge computing unit runs a remaining available gas volume estimation model, and the formula for calculating the remaining available gas volume is: ; in, This represents the volume of usable natural gas remaining in the high-pressure natural gas cylinder. Indicates the absolute pressure of the gas inside the bottle; Indicates the water volume of the connected high-pressure natural gas cylinder; It represents the compressibility factor, used to correct for the degree to which natural gas deviates from the ideal gas behavior under high pressure; Represents the universal gas constant; Indicates the absolute temperature of the bottle wall surface; Indicates the molar mass of methane. It characterizes the degree to which a real gas deviates from the behavior of an ideal gas under given pressure and temperature conditions.
6. The high-pressure natural gas cylinder valve group control system according to claim 1, characterized in that, When the encrypted wireless communication module fails to receive a heartbeat confirmation signal from the remote management platform for an extended period and the current valve health index is greater than or equal to a preset health threshold, the control system triggers a safety lockout mode, closes the valve core, and saves the event log.
7. The high-pressure natural gas cylinder valve group control system according to claim 1, characterized in that, The encrypted wireless communication module uses a symmetric encryption algorithm to encrypt the transmitted data and establishes a secure communication channel with the remote management platform through an elliptic curve key negotiation mechanism. It also supports two-way identity authentication based on digital certificates.
8. A high-pressure natural gas cylinder valve assembly, characterized in that, For implementing the control system of the high-pressure natural gas cylinder valve assembly as described in any one of claims 1-7, the natural gas cylinder valve assembly includes a main control valve body, a valve core, and a multi-functional sensing component integrated on the main control valve body; the main control valve body is provided with a rotatable valve core; the multi-functional sensing component includes a pressure sensor, a temperature sensor, a valve position sensor, a methane leak detection sensor, and a vibration accelerometer.
9. The high-pressure natural gas cylinder valve assembly according to claim 8, characterized in that, The valve position sensor is a non-contact angle sensor, which detects the actual rotation angle of the valve core by cooperating with a permanent magnet set at the end of the valve core and a Hall element fixed to the stationary part of the main control valve body.
10. The high-pressure natural gas cylinder valve assembly according to claim 8, characterized in that, The methane leak detection sensor is an infrared methane sensor, installed at the outlet of the guide cavity downstream of the valve seat seal in the main control valve body, and is used to detect the methane gas concentration.