Intelligent real-time monitoring device for hydraulic cylinder
By installing pressure, position and acceleration sensors in the hydraulic cylinder and using the data processing and control module of the optimization system, intelligent real-time monitoring of the hydraulic cylinder is achieved, solving the problem that the hydraulic cylinder cannot monitor operating parameters in real time, and improving the stability and life of the equipment.
Patent Information
- Application Number
- CN202510225526.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-27
- Publication Date
- 2025-04-08
AI Technical Summary
After long-term operation, hydraulic cylinders are prone to seal aging and oil leakage problems, and the operating parameters cannot be monitored in real time, resulting in failures that cannot be discovered and resolved in time in the early stages of the fault, affecting equipment performance.
An intelligent real-time monitoring device for hydraulic cylinders is designed, including hydraulic cylinder components and optimization systems. The hydraulic cylinder components are equipped with pressure sensors, position sensors and acceleration sensors. The optimization system uses data acquisition, processing and control execution modules to monitor and analyze data in real time, and promptly detect faults and take maintenance measures.
Real-time monitoring of hydraulic cylinders is realized, fault detection is detected in a timely manner, the life of hydraulic cylinders is extended, the occurrence rate of faults is reduced, and the stable operation of equipment is ensured.
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Figure CN119778348A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of hydraulic cylinders, and in particular to an intelligent real-time monitoring device for hydraulic cylinders. Background Art
[0002] Hydraulic cylinder is an actuator commonly used in hydraulic systems. Its main function is to convert hydraulic energy into mechanical energy to generate linear motion. It is widely used in various engineering machinery, agricultural machinery, ships, aerospace, metallurgical equipment and other fields. The basic structure of the hydraulic cylinder includes cylinder barrel, piston, piston rod, seal, end cover and other components. Its working principle is to use the pressure of hydraulic oil to push the piston to move in the cylinder body, thereby achieving the required thrust or pull.
[0003] As a key actuator of the hydraulic system, the hydraulic cylinder will cause aging and damage of the seals due to wear after long-term operation, which will further cause oil leakage. In addition, the hydraulic cylinder will also experience slow operation or blockage after long-term operation. The current hydraulic cylinder cannot monitor its operating parameters in real time during use, which makes it impossible to detect and solve the problem in time at the early stage of the failure, thus missing the best time for maintenance, making the problem further worse and affecting the performance of the entire equipment.
[0004] To this end, we provide an intelligent real-time monitoring device for hydraulic cylinders. Summary of the invention
[0005] The purpose of the present invention is to provide an intelligent real-time monitoring device for a hydraulic cylinder, which has the advantage of being able to monitor the operation of the hydraulic cylinder in real time, and solves the problem that the current hydraulic cylinder cannot monitor its operating parameters in real time during use, which makes it impossible to discover and solve the problem in time at the early stage of the failure, thus affecting the use.
[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a kind of intelligent real-time monitoring device of a hydraulic cylinder, comprising a hydraulic cylinder assembly and an optimization system, wherein the hydraulic cylinder assembly comprises a cylinder body, an end cover, a bottom cover, a piston rod and a piston body, wherein the end cover and the bottom cover are respectively fixed at two ends of the cylinder body, the piston body is installed in the inner cavity of the cylinder body and is movably connected with the inner cavity of the cylinder body, one end of the piston rod is fixedly connected with the piston body, and the other end of the piston rod passes through the end cover and extends to the outside of the cylinder body, a monitoring assembly is installed on the surface of the hydraulic cylinder assembly, the monitoring assembly comprises a pressure sensor, a position sensor and an acceleration sensor, the pressure sensor is used to monitor the oil inlet pressure, the position sensor is used to monitor the motion trajectory of the piston body, and the acceleration sensor is used to monitor the motion state of the hydraulic cylinder, the optimization system comprises a data acquisition module, a data processing module and a control execution module, the data acquisition module is used to analyze the data collected by the monitoring assembly, the data processing module is used to analyze the data, the control execution module sends instructions, and the optimization system is integrated with a cloud computing platform.
[0007] Preferably, the data processing module includes a machine learning algorithm, a deep learning algorithm and a reinforcement learning algorithm. The monitoring component and the optimization system are connected via wireless communication. The wireless communication connection can use Wi-Fi, Bluetooth, LoRa or NB-IoT, and the data is transmitted to the cloud platform in real time.
[0008] Preferably, the machine learning algorithm establishes a prediction model by learning historical data, predicts future operating conditions, and makes adjustments accordingly.
[0009] Preferably, the deep learning algorithm uses a neural network to analyze and model complex data, and the reinforcement learning algorithm optimizes the control strategy through continuous trial and error and performs adaptive adjustment.
[0010] Preferably, the hydraulic cylinder assembly further includes a first seal, an earring, a second seal, a third seal, an oil inlet pipe and a reversing solenoid valve, and the number of the oil inlet pipe and the reversing solenoid valve are both provided with two, and pressure sensors are provided on the surfaces of the two oil inlet pipes.
[0011] Preferably, the first seal is located in the inner cavity of the cylinder body and fixedly connected to the piston body, the second seal is fixed to the front end of the inner cavity of the end cover, and the end of the piston rod away from the piston body passes through the second seal.
[0012] Preferably, the third seal is fixed at the connection between the position sensor and the bottom cover, the position sensor is installed at one end of the bottom cover, the detection end of the position sensor passes through the inner cavity of the cylinder body, and the piston rod, piston body and piston body are all sleeved on the detection end of the position sensor.
[0013] Preferably, the two oil inlet pipes are respectively installed on the surface of the end cover and the bottom cover, the top of the oil inlet pipe is connected to the reversing solenoid valve, one end of the piston rod located outside the cylinder body is fixedly connected to the earring, and the acceleration sensor is installed on the surface of the earring.
[0014] Compared with the prior art, the present invention has the following beneficial effects:
[0015] The present invention realizes the effect of real-time monitoring of the operating status of the hydraulic cylinder by setting up a monitoring component and an optimization system. The operating data of the hydraulic cylinder can be collected in real time through pressure sensors, position sensors and acceleration sensors. The optimization system uses artificial intelligence algorithms to analyze and process the operating data, which can not only timely discover operating failures of the hydraulic cylinder and take corresponding maintenance measures, but also automatically adjust the working parameters of the hydraulic system according to the operating data, optimize the performance of the hydraulic cylinder through artificial intelligence algorithms, and realize efficient and precise control, while reducing energy consumption, extending the life of the hydraulic cylinder, and reducing the occurrence of failures, thereby ensuring the stable operation of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 It is a schematic diagram of the main structure of the present invention;
[0017] Figure 2 It is a schematic diagram of the explosion state structure of the present invention;
[0018] Figure 3 It is a schematic diagram of the system flow of the present invention.
[0019] In the figure: 1. Hydraulic cylinder assembly; 101. Cylinder body; 102. End cover; 103. Bottom cover; 104. Piston rod; 105. Piston body; 106. First seal; 107. Earring; 108. Second seal; 109. Third seal; 110. Oil inlet pipe; 111. Reversing solenoid valve; 2. Monitoring assembly; 201. Pressure sensor; 202. Position sensor; 203. Acceleration sensor; 3. Optimization system; 301. Data acquisition module; 302. Data processing module; 303. Control execution module. DETAILED DESCRIPTION
[0020] 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.
[0021] Example 1
[0022] like Figure 1-3As shown in the figure, it is the first embodiment of the present invention, which provides an intelligent real-time monitoring device for a hydraulic cylinder, including a hydraulic cylinder assembly 1 and an optimization system 3. The hydraulic cylinder assembly 1 includes a cylinder body 101, an end cover 102, a bottom cover 103, a piston rod 104 and a piston body 105. The end cover 102 and the bottom cover 103 are respectively fixed to the two ends of the cylinder body 101. The piston body 105 is installed in the inner cavity of the cylinder body 101 and is movably connected to the inner cavity of the cylinder body 101. One end of the piston rod 104 is fixedly connected to the piston body 105, and the other end of the piston rod 104 passes through the end cover 102 and extends to the outside of the cylinder body 101. The surface of the hydraulic cylinder assembly 1 A monitoring component 2 is installed, and the monitoring component 2 includes a pressure sensor 201, a position sensor 202 and an acceleration sensor 203. The pressure sensor 201 is used to monitor the oil inlet pressure, the position sensor 202 is used to monitor the motion trajectory of the piston body 105, and the acceleration sensor 203 is used to monitor the motion state of the hydraulic cylinder. The optimization system 3 includes a data acquisition module 301, a data processing module 302 and a control execution module 303. The data acquisition module 301 is used to analyze the data collected by the monitoring component 2, the data processing module 302 is used to analyze the data, and the control execution module 303 sends instructions. The optimization system 3 is integrated with the cloud computing platform.
[0023] like Figure 1-3 As shown, a hydraulic cylinder can be formed by combining a cylinder body 101, an end cover 102, a bottom cover 103, a piston rod 104 and a piston body 105. The oil inlet pressure of the hydraulic cylinder, the movement position of the piston body 105 and the movement state data of the hydraulic cylinder can be collected in real time by a pressure sensor 201, a position sensor 202 and an acceleration sensor 203, and the data are sent to a cloud computing platform through wireless communication. The cloud computing platform performs artificial intelligence calculations through an optimization system 3. A data acquisition module 301 receives the collected data and extracts useful data. The data processed by the data acquisition module 301 is analyzed by a data processing module 302. The data processing module 302 uses a machine learning algorithm, a deep learning algorithm and an enhanced The learning algorithm can predict when a failure may occur and remind maintenance personnel to perform preventive maintenance to avoid sudden equipment shutdown. The data processing module 302 can also generate the optimal adjustment plan based on the analyzed data, and send the corresponding adjustment instructions through the control execution module 303, so as to achieve real-time monitoring of the hydraulic cylinder. The artificial intelligence algorithm is used to analyze and process the operating data, which can not only detect the operating failure of the hydraulic cylinder in time and take corresponding maintenance measures, but also automatically adjust the working parameters of the hydraulic system according to the operating data, and optimize the performance of the hydraulic cylinder through the artificial intelligence algorithm to achieve efficient and precise control, while reducing energy consumption, extending the life of the hydraulic cylinder, and reducing the occurrence of failures, thereby ensuring the stable operation of the equipment.
[0024] Example 2
[0025] Reference Figure 1-3 , which is the second embodiment of the present invention, and this embodiment is based on the previous embodiment.
[0026] In this embodiment, the data processing module 302 includes a machine learning algorithm, a deep learning algorithm and a reinforcement learning algorithm. The monitoring component 2 and the optimization system 3 are connected via wireless communication. The wireless communication connection can use Wi-Fi, Bluetooth, LoRa or NB-IoT, and the data is transmitted to the cloud platform in real time.
[0027] Machine learning algorithms build predictive models by learning from historical data, predict future operating conditions, and make adjustments accordingly.
[0028] Deep learning algorithms use neural networks to analyze and model complex data, while reinforcement learning algorithms optimize control strategies and perform adaptive adjustments through continuous trial and error.
[0029] like Figure 1-3 As shown, the pressure sensor 201 can monitor the oil inlet pressure of the hydraulic cylinder in real time. Excessive or insufficient pressure will lead to reduced efficiency of the hydraulic system. By monitoring the oil inlet pressure in real time through the pressure sensor 201, the pressure abnormality can be discovered in time, so that corresponding measures can be taken. The position sensor 202 can adopt a magnetostrictive sensor, and use the magnetic field and the phenomenon called torsional strain to accurately measure the position of the piston body 105, so as to provide accurate position feedback and realize accurate control of the movement of the hydraulic cylinder. The acceleration sensor 203 can not only provide speed monitoring, but also monitor vibration. By monitoring the vibration, the excessive vibration of the hydraulic cylinder may be caused by unstable hydraulic oil pressure or internal wear of the hydraulic cylinder, so as to help identify and diagnose hydraulic system faults, and provide real-time acceleration data to help optimize the control strategy of the hydraulic system. By monitoring the acceleration of the hydraulic cylinder, the oil inlet pressure and flow of the hydraulic system can be adjusted, so as to improve the efficiency and response speed of the hydraulic system.
[0030] Example 3
[0031] Reference Figure 1-3 , which is the third embodiment of the present invention, and this embodiment is based on the previous two embodiments.
[0032] In this embodiment, the hydraulic cylinder assembly 1 also includes a first seal 106, an earring 107, a second seal 108, a third seal 109, an oil inlet pipe 110 and a reversing solenoid valve 111. There are two oil inlet pipes 110 and two reversing solenoid valves 111, and pressure sensors 201 are provided on the surfaces of the two oil inlet pipes 110.
[0033] The first seal 106 is located in the inner cavity of the cylinder 101 and fixedly connected to the piston body 105 . The second seal 108 is fixed to the front end of the inner cavity of the end cover 102 . The end of the piston rod 104 away from the piston body 105 passes through the second seal 108 .
[0034] The third sealing member 109 is fixed at the connection between the position sensor 202 and the bottom cover 103. The position sensor 202 is installed at one end of the bottom cover 103. The detection end of the position sensor 202 passes through the inner cavity of the cylinder body 101. The piston rod 104, the piston body 105 and the piston body 105 are all sleeved on the detection end of the position sensor 202.
[0035] The two oil inlet pipes 110 are respectively installed on the surface of the end cover 102 and the bottom cover 103. The top of the oil inlet pipe 110 is connected to the reversing solenoid valve 111. The end of the piston rod 104 located outside the cylinder body 101 is fixedly connected to the earring 107, and the acceleration sensor 203 is installed on the surface of the earring 107.
[0036] like Figure 1-3 As shown, when the rear reversing solenoid valve 111 feeds oil into the inner cavity of the cylinder 101 through the oil inlet pipe 110, the front reversing solenoid valve 111 discharges the hydraulic oil into the oil tank. The hydraulic oil entering through the rear reversing solenoid valve 111 pushes the first sealing member 106 and the piston body 105 to move toward the front end of the inner cavity of the cylinder 101, so that the piston body 105 can push the piston rod 104 to move outside the cylinder 101. When the oil is fed through the front reversing solenoid valve 111, the rear reversing solenoid valve 111 discharges the oil into the oil tank, so that the hydraulic oil The oil pushes the piston body 105 to move toward the rear end of the inner cavity of the cylinder body 101, thereby realizing the telescopic movement of the hydraulic cylinder. The first seal 106 can not only prevent the rear end hydraulic oil from entering the front end, but also prevent the front end hydraulic oil from entering the rear end, thereby effectively avoiding the reduction of hydraulic efficiency due to hydraulic oil leakage. The second seal 108 is used to seal the connection between the piston rod 104 and the end cover 102 to prevent oil leakage or dust from entering, causing hydraulic oil pollution and reduced hydraulic power.
[0037] When in use, when the rear-end reversing solenoid valve 111 feeds oil into the inner cavity of the cylinder body 101 through the oil inlet pipe 110, the front-end reversing solenoid valve 111 discharges the hydraulic oil into the oil tank, and the hydraulic oil entering through the rear-end reversing solenoid valve 111 pushes the first sealing member 106 and the piston body 105 to move toward the front end of the inner cavity of the cylinder body 101, so that the piston body 105 can push the piston rod 104 to move toward the outside of the cylinder body 101. When oil is fed through the front-end reversing solenoid valve 111, the rear-end reversing solenoid valve 111 discharges oil into the oil tank, so that the hydraulic oil pushes the piston body 105 to move toward the rear end of the inner cavity of the cylinder body 101, thereby realizing the telescopic movement of the hydraulic cylinder;
[0038] The pressure sensor 201, the position sensor 202 and the acceleration sensor 203 can collect the oil inlet pressure of the hydraulic cylinder, the movement position of the piston body 105 and the movement state data of the hydraulic cylinder in real time, and send them to the cloud computing platform through wireless communication. The cloud computing platform performs artificial intelligence calculations through the optimization system 3. The data acquisition module 301 receives the collected data and extracts useful data. The data processed by the data acquisition module 301 is analyzed by the data processing module 302. The data processing module 302 can predict when a failure may occur through machine learning algorithms, deep learning algorithms and reinforcement learning algorithms, and remind maintenance personnel to perform preventive maintenance to avoid sudden shutdown of the equipment. The data processing module 302 can also generate the optimal adjustment plan based on the analyzed data, and send corresponding adjustment instructions through the control execution module 303, so as to realize real-time monitoring of the hydraulic cylinder. The operation data is analyzed and processed by the artificial intelligence algorithm, which can not only timely discover the operation failure of the hydraulic cylinder and take corresponding maintenance measures, but also automatically adjust the working parameters of the hydraulic system according to the operation data, optimize the performance of the hydraulic cylinder through the artificial intelligence algorithm, realize efficient and accurate control, and at the same time reduce energy consumption, extend the life of the hydraulic cylinder, reduce the occurrence of failures, and thus ensure the stable operation of the equipment.
[0039] The standard parts used in this application document can all be purchased from the market and can be customized according to the description in the specification and drawings. The specific connection methods of each part adopt conventional means such as mature bolts, rivets, welding, etc. in the prior art. The machinery, parts and equipment all adopt conventional models in the prior art. The control method is automatic control through a controller. The control circuit of the controller can be implemented through simple programming by technicians in this field, which is common knowledge in the field. This application is mainly used to protect mechanical devices, so this application no longer explains the control method and circuit connection in detail.
[0040] 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. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0041] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. An intelligent real-time monitoring device for a hydraulic cylinder, comprising a hydraulic cylinder assembly (1) and an optimization system (3), characterized in that: The hydraulic cylinder assembly (1) comprises a cylinder body (101), an end cover (102), a bottom cover (103), a piston rod (104) and a piston body (105); the end cover (102) and the bottom cover (103) are respectively fixed to the two ends of the cylinder body (101); the piston body (105) is installed in the inner cavity of the cylinder body (101) and is movably connected to the inner cavity of the cylinder body (101); one end of the piston rod (104) is fixedly connected to the piston body (105); the other end of the piston rod (104) passes through the end cover (102) and extends to the outside of the cylinder body (101); a monitoring assembly (2) is installed on the surface of the hydraulic cylinder assembly (1); the monitoring assembly (2) comprises a pressure sensor ( 201), a position sensor (202) and an acceleration sensor (203), the pressure sensor (201) is used to monitor the oil inlet pressure, the position sensor (202) is used to monitor the motion trajectory of the piston body (105), the acceleration sensor (203) is used to monitor the motion state of the hydraulic cylinder, the optimization system (3) includes a data acquisition module (301), a data processing module (302) and a control execution module (303), the data acquisition module (301) is used to analyze the data collected by the monitoring component (2), the data processing module (302) is used to analyze the data, the control execution module (303) sends instructions, and the optimization system (3) is integrated with a cloud computing platform.
2. The intelligent real-time monitoring device for hydraulic cylinders according to claim 1 is characterized in that: The data processing module (302) includes a machine learning algorithm, a deep learning algorithm and a reinforcement learning algorithm. The monitoring component (2) and the optimization system (3) are connected via wireless communication. The wireless communication connection can use Wi-Fi, Bluetooth, LoRa or NB-IoT, and the data is transmitted to the cloud platform in real time.
3. The intelligent real-time monitoring device for hydraulic cylinders according to claim 2 is characterized in that: The machine learning algorithm builds a prediction model by learning from historical data, predicts future operating conditions, and makes adjustments accordingly.
4. The intelligent real-time monitoring device for hydraulic cylinders according to claim 2 is characterized in that: The deep learning algorithm uses neural networks to analyze and model complex data, and the reinforcement learning algorithm optimizes control strategies and performs adaptive adjustments through continuous trial and error.
5. The intelligent real-time monitoring device for hydraulic cylinders according to claim 1 is characterized in that: The hydraulic cylinder assembly (1) further comprises a first seal (106), an earring (107), a second seal (108), a third seal (109), an oil inlet pipe (110) and a reversing solenoid valve (111); the oil inlet pipe (110) and the reversing solenoid valve (111) are both provided in two numbers, and pressure sensors (201) are provided on the surfaces of the two oil inlet pipes (110).
6. The intelligent real-time monitoring device for hydraulic cylinders according to claim 5, characterized in that: The first sealing member (106) is located in the inner cavity of the cylinder body (101) and is fixedly connected to the piston body (105); the second sealing member (108) is fixed to the front end of the inner cavity of the end cover (102); and the end of the piston rod (104) away from the piston body (105) passes through the second sealing member (108).
7. The intelligent real-time monitoring device for hydraulic cylinders according to claim 5, characterized in that: The third sealing member (109) is fixed at the connection between the position sensor (202) and the bottom cover (103); the position sensor (202) is mounted on one end of the bottom cover (103); the detection end of the position sensor (202) penetrates into the inner cavity of the cylinder body (101); the piston rod (104), the piston body (105) and the piston body (105) are all sleeved on the detection end of the position sensor (202).
8. The intelligent real-time monitoring device for hydraulic cylinders according to claim 5, characterized in that: The two oil inlet pipes (110) are respectively mounted on the surfaces of the end cover (102) and the bottom cover (103); the top of the oil inlet pipe (110) is connected to a reversing solenoid valve (111); one end of the piston rod (104) located outside the cylinder body (101) is fixedly connected to an earring (107); and the acceleration sensor (203) is mounted on the surface of the earring (107).
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