Health state monitoring system and monitoring method for hydraulic support

Abstract

The application provides a health state monitoring system and method for a hydraulic support, the system comprises a master station sensor and at least two slave station sensors based on a master-slave architecture design, the master station sensor and the at least two slave station sensors are used for collecting vibration signal data of a stand column of the hydraulic support; the master station sensor is also used for collecting vibration signal data collected by the master station sensor and the at least two slave station sensors at the same time into a group of vector data; an analysis system is used for receiving the vector data, and judging the health state of the hydraulic support based on multiple groups of vector data; the sensor based on the master-slave architecture design is used for forming a distributed collection network, data synchronization and data grouping are realized through the master station, the time sequence consistency problem of multi-sensor data collection is effectively solved, and the space-time correlation of the vibration signal data is ensured; the method does not need to rely on a large amount of prior health data training, and meets the demand of real-time, efficient and convenient health state monitoring and early warning of the hydraulic support.

Description

Technical Field

[0001] This invention relates to the field of intelligent coal mining technology, and in particular to a health status monitoring system and method for hydraulic supports. Background Technology

[0002] In mining operations, hydraulic supports are crucial support equipment in fully mechanized mining faces, and their health status directly impacts production safety and efficiency. Currently, monitoring the condition of hydraulic supports largely relies on measuring parameters such as pressure, displacement, and tilt angle, indirectly inferring their working state by establishing complex mechanical or attitude models. For example, by reading the column length using a level sensor and combining it with a laser scan of the roof profile, mathematical models are used to calculate attitude parameters such as the support's elevation angle and roof contact angle, thereby assessing the support quality. This method not only requires obtaining precise structural dimensions of the equipment and involves repeated modeling for different support models, resulting in complex calculations, but also requires the installation of numerous different types of sensors during system deployment, leading to high implementation costs and long development cycles. Related technologies utilize vibration sensors to collect vibration signals from mechanical equipment, perform modal frequency analysis, calculate the equipment's natural frequencies and vibration modes, and compare them with pre-established health benchmark models to determine the status. This method relies heavily on a large amount of historical data to train and build a reference model. However, in actual mining environments, it is extremely difficult to obtain complete vibration data of the equipment throughout its entire life cycle and in a healthy state. Furthermore, the model has limited generalization ability and cannot effectively cope with unknown fault types. Moreover, the sensors work independently, have limited functions, and lack multi-node collaboration and real-time analysis capabilities, making it difficult to meet the needs for real-time, efficient, and convenient health status monitoring and early warning of the hydraulic support as a whole and its core components. Summary of the Invention

[0003] This invention provides a health status monitoring system and method for hydraulic supports, which solves the shortcomings of the vibration mode-based hydraulic support health monitoring method, which relies on a large amount of prior health data for training, and the sensors work independently, lacking multi-node collaboration and real-time analysis capabilities, thus failing to meet the needs of convenient and efficient monitoring.

[0004] This invention provides a health status monitoring system for hydraulic supports, comprising: The system is based on a master-slave architecture and consists of a master sensor and at least two slave sensors. The master sensor and the at least two slave sensors are used to collect vibration signal data of the hydraulic support column. The master sensor is also used to compile the vibration signal data collected by the master sensor and the at least two slave sensors at the same time into a set of vector data. An analysis system is used to receive the vector data and determine the health status of the hydraulic support based on multiple sets of vector data.

[0005] According to the health status monitoring system for hydraulic supports provided by the present invention, the master station sensor includes: The sensing unit is used to collect vibration signal data of the hydraulic support column; The first communication module is used to send clock synchronization signals to the at least two slave sensors and receive vibration signal data collected by the at least two slave sensors. The processing unit is used to compile the vibration signal data collected by the master station sensor itself and the vibration signal data collected by the at least two slave station sensors at the same time into a set of vector data based on the clock synchronization signal. The second communication module is used to send the grouped vector data to the analysis system.

[0006] According to the health status monitoring system for hydraulic supports provided by the present invention, the slave sensor includes: The sensing unit is used to collect vibration signal data of the hydraulic support column; The communication module is used to communicate with the master station sensor, receive the clock synchronization signal, and send the vibration signal data it has collected to the master station sensor based on the clock synchronization signal.

[0007] According to the health status monitoring system for hydraulic supports provided by the present invention, the master station sensor and the slave station sensor interact with each other via radio frequency wireless communication.

[0008] According to the health status monitoring system for hydraulic supports provided by the present invention, the analysis system is integrated inside the main station sensor, or the analysis system is a stand-alone device.

[0009] According to the health status monitoring system for hydraulic supports provided by the present invention, the analysis system determines the health status of the hydraulic supports based on multiple sets of vector data, including: Vibration type identification is performed based on the vector data to distinguish between normal operating vibration and abnormal vibration of the hydraulic support. The abnormal vibrations include vibrations caused by pressure from the top plate or vibrations caused by mechanical failures.

[0010] According to the health status monitoring system for hydraulic supports provided by the present invention, the vector data includes a column-direction acceleration component parallel to the column direction and a non-column-direction acceleration component perpendicular to the column plane, and the analysis system is further used for: Analyze the column acceleration components parallel to the column direction to determine the health status of the column itself; Analyze the non-column acceleration components in the plane perpendicular to the column to determine the health status of the support connection structure; Based on the health status of the column itself and the health status of the support connection structure, the overall health status assessment result of the hydraulic support is output.

[0011] According to the health status monitoring system for hydraulic supports provided by the present invention, the master station sensor and the slave station sensor are fixed to the column by magnetic attraction structure or mounting holes.

[0012] The present invention also provides a method for monitoring the health status of hydraulic supports, applicable to the aforementioned health status monitoring system for hydraulic supports, comprising: Vibration signal data of the hydraulic support column are collected by a master station sensor and at least two slave station sensors based on a master-slave architecture. The vibration signal data collected by the master station sensor and the at least two slave station sensors at the same time are compiled into a set of vector data; The health status of hydraulic supports is determined based on multiple sets of vector data.

[0013] According to the health status monitoring method for hydraulic supports provided by the present invention, the step of determining the health status of the hydraulic support based on multiple sets of vector data includes: Vibration type identification is performed based on the vector data to distinguish between normal operating vibration and abnormal vibration of the hydraulic support. And, when the vector data includes vibration acceleration components parallel to the column direction and vibration acceleration components perpendicular to the column direction, Analyze the vibration acceleration components parallel to the column direction to determine the health status of the column; Analyze the vibration acceleration components perpendicular to the column direction to determine the health status of the support structure; Based on the health status of the column itself and the health status of the support connection structure, the overall health status assessment result of the hydraulic support is output.

[0014] This invention provides a health status monitoring system and method for hydraulic supports. The system includes a master station sensor and at least two slave station sensors designed based on a master-slave architecture. The master station sensor and the at least two slave station sensors are used to collect vibration signal data of the hydraulic support column. The master station sensor is also used to encode the vibration signal data collected by the master station sensor and the at least two slave station sensors at the same time into a set of vector data. An analysis system is used to receive the vector data and determine the health status of the hydraulic support based on multiple sets of vector data. The system uses a distributed acquisition network composed of sensors designed based on a master-slave architecture. Data synchronization and data grouping are achieved through the master station, which effectively solves the problem of temporal consistency of multi-sensor data acquisition and ensures the spatiotemporal correlation of vibration signal data, laying the foundation for subsequent analysis. It does not require training with a large amount of prior health data and meets the needs for real-time, efficient, and convenient health status monitoring and early warning of hydraulic supports. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0016] Figure 1 This is a functional structure diagram of a health status monitoring system for hydraulic supports provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the sensor system deployment provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the column direction and the plane perpendicular to the column direction provided in an embodiment of the present invention; Figure 4 This is a flowchart of a health status monitoring method for hydraulic supports provided in an embodiment of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0018] Figure 1 A functional structure diagram of a health status monitoring system for hydraulic supports provided in an embodiment of the present invention is shown below. Figure 1As shown, the health status monitoring system for hydraulic supports provided in this embodiment of the invention includes: The master station sensor 101 and at least two slave station sensors 102 are designed based on a master-slave architecture. The master station sensor 101 and the at least two slave station sensors 102 are used to collect vibration signal data of the hydraulic support column. The master station sensor 101 is also used to compile the vibration signal data collected by the master station sensor 101 and the at least two slave station sensors 102 at the same time into a set of vector data. Analysis system 103 is used to receive the vector data and determine the health status of the hydraulic support based on multiple sets of vector data.

[0019] In this embodiment of the invention, the master station sensor and at least two slave station sensors, designed based on a master-slave architecture, consist of three triaxial accelerometer sensors. The sensors employ a "one master, two slaves" control method and possess multiple communication capabilities. During system operation, the three sensors are deployed at both ends of the extendable body (column), with two sensors deployed at one end and one at the other. The deployment positions require a rigid connection to both ends of the column's hydraulic cylinder; there are no specific deployment points. The deployment method is as follows: Figure 2 As shown, Figure 2 The left side shows a "2 up, 1 down" deployment method. Figure 2 The right side shows the "1 up, 2 down" deployment method. Both deployment methods have no requirements on the deployment points or the locations of the master and slave stations.

[0020] Traditional methods for monitoring the health status of hydraulic supports involve deploying vibration sensors to collect vibration signal data from mechanical equipment. The system calculates the equipment's natural frequencies and vibration modes and compares them to a pre-established health baseline model to determine its condition. However, this method heavily relies on extensive historical data to train and build reference models. In actual mining environments, obtaining complete vibration data across the entire equipment's lifecycle and its health status is extremely difficult. Furthermore, the model's generalization ability is limited, making it unable to effectively handle unknown fault types. Additionally, the sensors operate independently, have limited functionality, and lack multi-node collaboration and real-time analysis capabilities, making it difficult to meet the needs for health status monitoring and early warning of the hydraulic support as a whole and its core components.

[0021] The health status monitoring system for hydraulic supports provided in this invention includes a master station sensor and at least two slave station sensors based on a master-slave architecture. The master station sensor and the at least two slave station sensors are used to collect vibration signal data of the hydraulic support column. The master station sensor is also used to compile the vibration signal data collected simultaneously by the master station sensor and the at least two slave station sensors into a set of vector data. An analysis system is used to receive the vector data and, based on multiple sets of vector data, determine the health status of the hydraulic support. The system employs a distributed acquisition network composed of sensors based on a master-slave architecture, and achieves data synchronization and data grouping through the master station. This effectively solves the problem of temporal consistency in multi-sensor data acquisition, ensures the spatiotemporal correlation of vibration signal data, and lays the foundation for subsequent analysis. It does not require training with a large amount of prior health data, meeting the needs for real-time, efficient, and convenient health status monitoring and early warning of hydraulic supports.

[0022] Based on any of the above embodiments, the master station sensor includes: The sensing unit is used to collect vibration signal data of the hydraulic support column; The first communication module is used to send clock synchronization signals to the at least two slave sensors and receive vibration signal data collected by the at least two slave sensors. In this embodiment of the invention, the master-slave function is used to aggregate data and instructions, making three independent sensors function as a whole. The master sensor sets the frequency of data acquisition according to the system or manually, and sends the clock setting to the slave sensor via radio frequency communication. The slave sensor then acquires the acceleration of the equipment vibration according to the clock-set frequency.

[0023] The processing unit is used to compile the vibration signal data collected by the master station sensor itself and the vibration signal data collected by the at least two slave station sensors at the same time into a set of vector data based on the clock synchronization signal. In this embodiment of the invention, the master station compiles the data collected by the three accelerometer sensors at the same time into a set of data.

[0024] In some embodiments of the present invention, the main station is equipped with a microprocessor system, which has computational and analytical capabilities. If an analysis system is installed on the microprocessor, the analysis system can analyze the acceleration vector data collected by the three sensors in real time to obtain the real-time health monitoring status of the device.

[0025] The second communication module is used to send the grouped vector data to the analysis system.

[0026] In this embodiment of the invention, the master station sensor has an external communication module, enabling bidirectional data communication with external equipment systems. It can send collected data and analysis conclusions to other devices and receive system setting instructions from other devices. The master station sensor and external devices communicate via any wired or wireless method. It can send data collected by the three sensors (without an analysis system deployed on the master station) or equipment health status (with an analysis system deployed on the master station, outputting analysis results) to the receiving device, thus transmitting information to the user.

[0027] Based on any of the above embodiments, the slave sensor includes: The sensing unit is used to collect vibration signal data of the hydraulic support column; The communication module is used to communicate with the master station sensor, receive the clock synchronization signal, and send the vibration signal data it has collected to the master station sensor based on the clock synchronization signal.

[0028] In this embodiment of the invention, two slave sensors transmit the collected data to the master sensor via radio frequency transmission. The master sensor collects the data from the two slave sensors and the data collected by the master sensor, stores the relevant data, and lays the foundation for data analysis and information transmission to the outside.

[0029] In this embodiment of the invention, the communication module includes, but is not limited to, the following types of communication: WiFi communication, Bluetooth communication, UWB communication, soft bus communication, radio, etc.

[0030] In this embodiment of the invention, the master station sensor and the slave station sensor are fixed to the hydraulic support column via a magnetic structure or mounting holes. The master station sensor and the slave station sensor exchange data via radio frequency wireless communication.

[0031] Both the master and slave sensors utilize triaxial MEMS sensors with a sensitivity of 100mV / g, a response frequency between 20-5000Hz, and a sensing sensitivity between 0.05-20g. The master sensor comprises a sensing element, pressure-point conversion components, a control board, a communication device, an interface device, and a clock device, enabling data acquisition and processing. The master sensor also includes hardware modules such as a logic unit, processor, and storage unit. The mining-grade sensor housing also features an explosion-proof enclosure. For wired connections, the device is equipped with communication and power supply interfaces. For wireless connections, the housing contains a battery, and the housing itself includes a signal transmitter and charging port.

[0032] Based on any of the above embodiments, the analysis system is software that processes the acceleration data collected simultaneously by three sensors. It uses mathematical principles, fluid mechanics, and kinematic formulas to form calculation and judgment algorithms, and combines these with empirical thresholds for comprehensive judgment. The analysis system is integrated within the main station sensor, or it can be a standalone device that uses simple calculation methods to achieve analysis and early warning functions.

[0033] In this embodiment of the invention, the analysis system determines the health status of the hydraulic support based on multiple sets of vector data, including: Vibration type identification is performed based on the vector data to distinguish between normal operating vibration and abnormal vibration of the hydraulic support. The abnormal vibrations include vibrations caused by pressure from the top plate or vibrations caused by mechanical failures.

[0034] In this embodiment of the invention, the vector data includes a columnar acceleration component parallel to the column direction and a non-columnar acceleration component perpendicular to the column plane. The analysis system is further used for: Analyze the column acceleration components parallel to the column direction to determine the health status of the column itself; Combining the health status of the column itself and the health status of the support connection structure, the overall health status assessment result of the hydraulic support is output. The non-column acceleration components in the plane perpendicular to the column are analyzed to determine the health status of the support connection structure. In this embodiment of the invention, acceleration is a spatial vector, and a set of accelerations consists of three vector values. By inputting adjacent sets of data, the analysis algorithm will perform the following analysis: (1) Confirm whether the vibration is caused by pressure. Based on the different characteristic curves of the accelerometer signals collected during the lowering, raising, and pressure vibration of the hydraulic support column, determine the type of vibration; (2) Column acceleration analysis. Analyze the acceleration in the direction parallel to the column to determine whether the column is in a healthy, potentially hazardous, or faulty state; (3) Non-cylindrical acceleration analysis. For example... Figure 3 As shown, the two mutually perpendicular acceleration components generated on the plane perpendicular to the column direction are analyzed to determine whether the support is in a healthy or faulty state.

[0035] (4) Comprehensive analysis. Based on the above individual analyses, the results are summarized into a comprehensive analysis, which accurately outputs the current health status of the hydraulic support and the health status of each support column.

[0036] The health status monitoring system for hydraulic supports provided by this invention directly collects vibration information of the key component of the hydraulic support—the column—through multiple triaxial accelerometer sensors working collaboratively in a master-slave architecture. Based on multiple sets of synchronized vibration vector data, it performs in-depth analysis to achieve accurate judgment and early warning of the equipment's health status. The system employs a unique master-slave design, with the master station sensor uniformly synchronizing clocks and aggregating data, ensuring temporal consistency and spatial correlation of data collected from multiple nodes. It also supports various wired and wireless communication methods, greatly enhancing the system's adaptability and integration capabilities in different downhole environments. Compared to existing technologies, this system does not rely on complex equipment mechanical models or large amounts of historical training data. Sensor deployment has no specific location requirements; it can achieve rapid rigid connection through magnetic attraction or mounting holes, truly realizing convenient monitoring that is ready to use and deployed at any time. This solution is specifically designed for the hydraulic support columns, which are the most critical and vulnerable components of mine support equipment. It can effectively distinguish between normal operating vibrations and abnormal vibrations (including roof pressure and mechanical failures). It can not only diagnose the health status of the column itself, but also assess the status of the support connection structure, ultimately forming a comprehensive health status conclusion. This provides an efficient, reliable, and easy-to-implement solution for underground support safety and predictive maintenance.

[0037] The following describes the health status monitoring method for hydraulic supports provided by the present invention. The health status monitoring method for hydraulic supports described below can be referred to in correspondence with the health status monitoring system for hydraulic supports described above.

[0038] Figure 4 A flowchart of a health status monitoring method for hydraulic supports provided in an embodiment of the present invention is shown below. Figure 4 As shown, the health status monitoring method for hydraulic supports provided in this embodiment of the invention includes: Step 401: Collect vibration signal data of the hydraulic support column using a master station sensor and at least two slave station sensors designed based on a master-slave architecture; Step 402: Compile the vibration signal data collected by the master station sensor and the at least two slave station sensors at the same time into a set of vector data; Step 403: Determine the health status of the hydraulic support based on multiple sets of vector data.

[0039] In this embodiment of the invention, determining the health status of the hydraulic support based on multiple sets of vector data includes: Vibration type identification is performed based on the vector data to distinguish between normal operating vibration and abnormal vibration of the hydraulic support. And, when the vector data includes vibration acceleration components parallel to the column direction and vibration acceleration components perpendicular to the column direction, Analyze the vibration acceleration components parallel to the column direction to determine the health status of the column; Analyze the vibration acceleration components perpendicular to the column direction to determine the health status of the support structure; Based on the health status of the column itself and the health status of the support connection structure, the overall health status assessment result of the hydraulic support is output.

[0040] The health status monitoring method for hydraulic supports provided in this invention is based on a design with three accelerometers. This design uses a single type of sensor and a small number of sensors, eliminating reliance on complex algorithms and model training, and requiring no acquisition of equipment size data or large amounts of training data. By intelligently identifying vibration types in multiple sets of vector data and analyzing vibration acceleration components parallel and perpendicular to the column direction, it can accurately distinguish between normal operational vibrations (such as column raising and lowering) and abnormal vibrations (such as pressure from the top plate or mechanical failures). This fundamentally avoids misjudgments caused by operational interference, significantly improving the accuracy and reliability of status identification. Secondly, it innovatively decouples the vibration signal data from both column-direction and non-column-direction physical dimensions. This allows the system to diagnose not only the health status of the column itself (such as typical faults like seal failure and inner wall wear) but also independently assess the status of the support connection structure (such as loose pins and fatigue cracks in structural components), achieving refined fault location and isolation of key components of the hydraulic support. Ultimately, by integrating diagnostic conclusions from both the support column and the connecting structure, the system can output a comprehensive and coordinated overall health status assessment, thereby providing accurate decision-making basis for predictive maintenance of the downhole support system. This avoids the limitations of single-dimensional judgment and significantly improves maintenance efficiency and the safety level of downhole production.

[0041] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0042] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of software products. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0043] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A health status monitoring system for hydraulic supports, characterized in that, include: The system is based on a master-slave architecture and consists of a master sensor and at least two slave sensors. The master sensor and the at least two slave sensors are used to collect vibration signal data of the hydraulic support column. The master sensor is also used to compile the vibration signal data collected by the master sensor and the at least two slave sensors at the same time into a set of vector data. An analysis system is used to receive the vector data and determine the health status of the hydraulic support based on multiple sets of vector data. The main station sensor includes: The sensing unit is used to collect vibration signal data of the hydraulic support column; The first communication module is used to send clock synchronization signals to the at least two slave sensors and receive vibration signal data collected by the at least two slave sensors. The processing unit is used to compile the vibration signal data collected by the master station sensor itself and the vibration signal data collected by the at least two slave station sensors at the same time into a set of vector data based on the clock synchronization signal. The second communication module is used to send the grouped vector data to the analysis system; The analysis system determines the health status of the hydraulic support based on multiple sets of vector data, including: Vibration type identification is performed based on the vector data to distinguish between normal operating vibration and abnormal vibration of the hydraulic support. The abnormal vibrations include vibrations caused by pressure from the top plate or vibrations caused by mechanical failures; The vector data includes columnar acceleration components parallel to the column direction and non-columnar acceleration components perpendicular to the column plane. The analysis system is also used for: Analyze the column acceleration components parallel to the column direction to determine the health status of the column itself; Analyze the non-column acceleration components in the plane perpendicular to the column to determine the health status of the support connection structure; Based on the health status of the column itself and the health status of the support connection structure, the overall health status assessment result of the hydraulic support is output.

2. The health status monitoring system for hydraulic supports according to claim 1, characterized in that, The slave sensor includes: The sensing unit is used to collect vibration signal data of the hydraulic support column; The communication module is used to communicate with the master station sensor, receive the clock synchronization signal, and send the vibration signal data it has collected to the master station sensor based on the clock synchronization signal.

3. The health status monitoring system for hydraulic supports according to claim 1, characterized in that, The master station sensor and the slave station sensor exchange data via radio frequency wireless communication.

4. The health status monitoring system for hydraulic supports according to claim 1, characterized in that, The analysis system is integrated inside the main station sensor, or the analysis system is a stand-alone device.

5. The health status monitoring system for hydraulic supports according to claim 1, characterized in that, The master station sensor and the slave station sensor are fixed to the hydraulic support column by magnetic attraction structure or mounting holes.

6. A method for monitoring the health status of hydraulic supports, applicable to the health status monitoring system for hydraulic supports as described in any one of claims 1 to 5, characterized in that, include: Vibration signal data of the hydraulic support column are collected by a master station sensor and at least two slave station sensors based on a master-slave architecture. The vibration signal data collected by the master station sensor and the at least two slave station sensors at the same time are compiled into a set of vector data; The health status of hydraulic supports is determined based on multiple sets of vector data.

7. The health status monitoring method for hydraulic supports according to claim 6, characterized in that, The method of determining the health status of hydraulic supports based on multiple sets of vector data includes: Vibration type identification is performed based on the vector data to distinguish between normal operating vibration and abnormal vibration of the hydraulic support. And, when the vector data includes vibration acceleration components parallel to the column direction and vibration acceleration components perpendicular to the column direction, Analyze the vibration acceleration components parallel to the column direction to determine the health status of the column; Analyze the vibration acceleration components perpendicular to the column direction to determine the health status of the support structure; Based on the health status of the column itself and the health status of the support connection structure, the overall health status assessment result of the hydraulic support is output.

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