Aircraft solenoid and latching valve on-line real-time monitoring system and method

Abstract

This invention relates to aircraft propulsion systems, specifically to an online real-time monitoring system and method for aircraft solenoid valves and self-locking valves. The system provided by this invention comprises a host computer, valve testing equipment, solenoid valves and / or self-locking valves, a solenoid valve and / or self-locking valve actuator, GNC monitoring equipment, cables, and network cables. The solenoid valve and / or self-locking valve actuator, GNC monitoring equipment, and solenoid valves and / or self-locking valves are connected to the valve testing equipment via cables; the valve testing equipment is connected to the host computer via a network cable. This connection method integrates the valve testing equipment with the solenoid valve and / or self-locking valve control pathways, enabling long-term online real-time monitoring of the solenoid valve and / or self-locking valve's operational characteristics data, eliminating the need for offline, post-processing interpretation. Furthermore, this invention offers advantages such as multiple parallel testing pathways, high time accuracy, long operating time, strong versatility, high real-time performance, strong compatibility, and low latency.

Description

Technical Field

[0001] This invention relates to aircraft propulsion systems, and more particularly to an online real-time monitoring system and method for aircraft solenoid valves and self-locking valves. Background Technology

[0002] During the comprehensive testing of the aircraft, it is necessary to monitor and record the operating characteristics of the propulsion solenoid valve and the self-locking valve in real time, and to detect and record the number of on / off cycles of the propulsion solenoid valve and the self-locking valve in real time during the testing phase. This is to estimate the remaining lifespan of the solenoid valve and the self-locking valve, and to promptly identify, repair or replace any defective propulsion solenoid valves or self-locking valves. This ensures that the propulsion solenoid valve and the self-locking valve are in good working condition during subsequent use, and avoids irreparable losses after the aircraft takes off.

[0003] The testing of the operating characteristics of propulsion solenoid valves and self-locking valves mainly includes the testing and recording of on / off action, transient on / off current curves, steady-state current, starting current, release current, starting time, release time, opening current ratio, closing current ratio, and operating time length characteristics.

[0004] Traditional testing systems for propulsion solenoid valves and self-locking valves in aircraft propulsion systems cannot achieve online detection and real-time testing. They also suffer from problems such as low time accuracy, limited monitoring channels, short monitoring time, insufficient storage space, significant susceptibility to external high-frequency signal interference, and large time delays between acquisition channels. For example, Chinese patent CN204515085U discloses a benchtop testing device for solenoid valve performance parameters. This device uses a CPCI bus-based industrial computer data acquisition card to acquire data from the conditioning circuit. It can simultaneously test the performance of two solenoid valves, but the limited testing channels cannot meet the testing needs of complex systems. Chinese patent CN211718461U discloses a current response time testing device for automotive solenoid valves. This device uses an oscilloscope to measure the voltage and current of the automotive solenoid valve and only supports offline, no-load testing. Summary of the Invention

[0005] To address the aforementioned technical problems, one objective of this invention is to provide an online real-time monitoring system for aircraft solenoid valves and self-locking valves. This system mainly includes valve testing equipment, a host computer, solenoid valves and / or self-locking valves, a solenoid valve and / or self-locking valve drive source, monitoring equipment, cables, and network cables. Specifically,

[0006] The solenoid valve and / or self-locking valve are connected to the valve testing equipment via cables. The actuation source for the solenoid valve and / or self-locking valve is also connected to the valve testing equipment via cables. Monitoring equipment is connected to the valve testing equipment via cables. The valve testing equipment is connected to the host computer via a network cable.

[0007] Valve testing equipment is used to receive drive signals, control solenoid valves and / or self-locking valves, provide monitoring channels, and acquire, process solenoid valve and / or self-locking valve signals online in real time and forward data streams to the host computer.

[0008] The host computer is used for data acquisition, processing, display, and storage;

[0009] The solenoid valve and / or self-locking valve drive source is used to send drive signals.

[0010] Furthermore, the cables are parallel cables, and the network cables are dual-redundant network cables.

[0011] Furthermore, the valve testing equipment includes a sampling circuit module, an on / off state acquisition module, a current signal acquisition module, a first core processing module, a second core processing module, and a network interconnection module.

[0012] The sampling circuit module provides interconnection of signals between the solenoid valve and / or the self-locking valve and the solenoid valve and / or the self-locking valve drive source; provides back EMF drainage protection circuit for the solenoid valve and / or the self-locking valve; provides monitoring equipment status monitoring circuit; and provides connection to the on / off status acquisition module and the current signal acquisition module through the signal acquisition interface circuit.

[0013] The first core processing module adopts a multi-core heterogeneous system composed of a processor and a field-programmable gate array to provide parallel real-time data acquisition and processing of the on / off status signals of the path;

[0014] The second core processing module adopts a multi-core heterogeneous system composed of a processor and a field-programmable gate array to provide parallel real-time data acquisition and processing of the current signal.

[0015] The network interconnection module forwards the signal to the host computer;

[0016] The on / off status acquisition module is connected to the first core processing module, providing real-time on / off judgment of valve signals; it adopts signal debouncing processing with hardware logic, high-speed clock phase-locked loop frequency multiplication and / or division and hardware counting, and upper computer software clock recovery method to achieve a time accuracy of up to 0.1ms;

[0017] The current signal acquisition module is connected to the second core processing module, providing channel isolation, amplification, and conversion of the signal. It adopts the Sinc3 filtering algorithm with hardware logic to realize parallel real-time processing of the current analog signal, reduce external high-frequency signal interference, and combine it with the Butterworth digital low-pass filtering algorithm with adjustable parameters in the host computer software to perform dual filtering processing, thereby achieving high-frequency interference filtering and waveform data smoothing.

[0018] Furthermore, the field-programmable gate array (FPGA) performs parallel real-time processing of multiple signals, then sends the processed multi-signal data to memory for caching, and then a multi-core processor completes data framing and network communication to achieve parallel real-time processing of multiple signals.

[0019] Furthermore, the first core processing module is equipped with an external high-speed clock source. After the clock signal enters the field-programmable gate array, it completes the phase-locked loop frequency multiplication and / or division and heartbeat counting of the hardware-fixed high-speed clock. After receiving the heartbeat count, the host computer uses a software clock recovery method to convert the heartbeat count value into a high-precision time based on the power-on time.

[0020] Furthermore, the host computer performs software clock recovery on the on / off status signal; it uses real-time on / off waveform judgment and data buffering to filter invalid data for the current signal, solving the problem of insufficient storage capacity for large amounts of data during long-term testing, and realizing long-term online monitoring and testing.

[0021] Furthermore, the host computer software first performs large-queue data buffering on the received data, and completes data transfer and waveform signal transition recognition in a multi-threaded manner. When the signal transitions on a rising edge, the steady-state current value of proportion M is identified as the decision condition, and when the signal transitions on a falling edge, the steady-state current value of proportion N is identified as the decision condition. Data within a time range of P to the left and right of the identified decision condition value is truncated and saved. M, N, and P can all be set. During the time period without rising or falling edge transitions, no data is truncated or saved, thereby filtering out invalid data.

[0022] Furthermore, the host computer employs an automatic discrimination algorithm to calculate, display, store, and forward the action characteristics of the propulsion solenoid valve and the self-locking valve.

[0023] Furthermore, the operating characteristics include open / closed state, transient on / off current curves, steady-state current, starting current, release current, starting time, release time, on-state current ratio, off-state current ratio, and operating time length characteristics.

[0024] The second objective of this invention is to provide a method for online real-time monitoring of aircraft solenoid valves and self-locking valves, specifically including the following steps:

[0025] The solenoid valve and / or self-locking valve drive source sends a drive signal;

[0026] The valve testing equipment receives drive signals;

[0027] The sampling circuit module of the valve testing equipment sends a drive signal to the solenoid valve and / or the self-locking valve to control the action of the solenoid valve and / or the self-locking valve.

[0028] The valve testing equipment's on / off status acquisition module performs signal isolation and on / off threshold comparison, while the current signal acquisition module performs signal isolation and AD current signal sampling.

[0029] The first core processing module of the valve testing equipment performs signal debouncing, hardware counting after phase-locked loop frequency multiplication / division, and forwards the data to the network interconnection module; the second core processing module performs SinC3 digital filtering and forwards the data to the network interconnection module.

[0030] The network interconnection module forwards data to the host computer;

[0031] The host computer performs software clock recovery with a precision of 0.1ms for the hardware counting information of the on / off status data, and performs real-time on / off judgment and current data caching and filtering operations for the current data.

[0032] The host computer monitors the characteristic data of the solenoid valve and the self-locking valve online in real time, displays the on / off status and action time, and stores the data. It also performs characteristic value calculation, waveform display, and filtered data storage.

[0033] Compared with the prior art, the advantages of this invention after adopting the above technical solution are as follows:

[0034] The connection method used in the technical solution of this invention realizes the integration of valve testing equipment with the control path of solenoid valve and / or self-locking valve, which can monitor the action characteristic data of solenoid valve and / or self-locking valve online in real time for a long time without offline or post-event interpretation.

[0035] The multi-channel signal parallel real-time processing provided by this invention solves the problems of non-real-time processing and large delays between multiple signal acquisition channels of solenoid valves and / or self-locking valves.

[0036] The filtering of invalid data in the technical solution of this invention improves the ability of the device to work for a long time with limited storage capacity, and solves the technical problem of insufficient storage space for long-term monitoring and storage of solenoid valve and / or self-locking valve data.

[0037] This invention employs a high-speed clock phase-locked loop frequency multiplication and / or division, hardware counting, and software clock recovery method to achieve a time accuracy of up to 0.1ms, solving the problem that the host computer's time accuracy is only at the second or millisecond level, resulting in low time accuracy.

[0038] The valve testing equipment in this invention first uses the Sinc3 digital filtering algorithm with hardware logic to realize the parallel real-time processing of 96 analog signals, reducing external high-frequency signal interference. Combined with the Butterworth digital low-pass filtering algorithm with adjustable parameters completed by the host computer software, dual filtering is performed to achieve high-frequency interference filtering and waveform data smoothing.

[0039] In summary, this invention solves the problems of traditional aircraft propulsion solenoid valve and self-locking valve characteristic testing systems, such as inability to perform online testing, inability to perform real-time testing, low time accuracy, limited monitoring channels, short monitoring time, insufficient storage space, significant susceptibility to external high-frequency signal interference, and large time delays between acquisition channels. The technical solution provided by this invention enables online real-time testing of propulsion solenoid valve and self-locking valve characteristics, offering advantages such as multiple parallel testing channels, high time accuracy, long operating time, strong versatility, high real-time performance, strong compatibility, and small delay time. Attached Figure Description

[0040] Figure 1 A schematic diagram of the structure of an online real-time monitoring system for aircraft solenoid valves and self-locking valves provided for an embodiment;

[0041] Figure 2 The following is a flowchart of the signal processing in the online real-time monitoring system provided in the embodiment;

[0042] Figure 3 This is a schematic diagram of some motion characteristic values ​​in the online real-time monitoring system provided in the embodiment;

[0043] Figure 4 A flowchart of an online real-time monitoring method for aircraft solenoid valves and self-locking valves provided for an embodiment. Detailed Implementation

[0044] The present invention will be further described in detail below with reference to embodiments and accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Those skilled in the art should understand that modifications or substitutions can be made to the details and form of the technical solutions of the present invention without departing from the structural concept and scope of use of the present invention, but such modifications and substitutions are all within the protection scope of the present invention.

[0045] This invention provides an online real-time monitoring system and method for aircraft solenoid valves and self-locking valves.

[0046] As attached Figure 1 As shown, the main components of the online real-time monitoring system for aircraft solenoid valves and self-locking valves provided in this embodiment are: valve testing equipment (A1), host computer (A2), solenoid valve and / or self-locking valve (A3), solenoid valve and / or self-locking valve drive source (A5, A7), GNC monitoring equipment (A9), 96 parallel cables (A4, A6, A8, A10) and dual redundant network cables (A11).

[0047] The host computer (A2) has dual gigabit network ports and adopts a redundant communication link configuration, connecting to the valve testing equipment (A1) via a network cable (A11). The valve testing equipment (A1) connects to the GNC monitoring equipment (A9) using a cable (A10) containing 96 drive paths, providing a GNC monitoring channel. The valve testing equipment (A1) also connects to the solenoid valve and / or self-locking valve drive source (A5, A7) using cables (A6, A8) containing 96 drive paths, receiving drive signals and then sending these signals to the solenoid valve and / or self-locking valve (A3) via a cable (A4) containing 96 drive paths, thus controlling the valves. This connection method integrates the control paths of the valve testing equipment (A1) with the solenoid valve and / or self-locking valve (A3), enabling long-term online real-time monitoring of the solenoid valve and / or self-locking valve (A3)'s operational characteristics, eliminating the need for offline, post-event interpretation.

[0048] As attached Figure 1 As shown, the valve testing equipment (A1) mainly consists of a sampling circuit module (B1), an on / off status acquisition module (B2), a current signal acquisition module (B3), a first core processing module (B4), a second core processing module (B5), and a network interconnection module (B6). The sampling circuit module (B1) uses high-current wiring on a printed circuit board to connect 96 solenoid valve and self-locking valve pathways, supporting a current range of 0-5A. It also provides a signal acquisition interface for the on / off status acquisition module (B2) and the current signal acquisition module (B3), enabling connection between them. The on / off status acquisition module (B2) uses a signal isolation circuit and an on / off threshold comparison circuit to determine the on / off status of the acquired signals and sends this status to the first core processing module (B4) via the interface. Module (B4) acquires and processes the signal data, and then forwards it to the host computer (A2) through the network interconnection module (B6). The current signal acquisition module (B3) uses a channel isolation circuit, an arithmetic unit amplifier circuit, and an analog signal acquisition circuit to perform inter-channel isolation, signal amplification, and signal conversion on the received signal. The sampling frequency is 10kHz, the sampling accuracy is 16 bits, and after the analog signal is converted into a digital signal, it is sent to the second core processing module (B5) through the interface. The second core processing module (B5) acquires and processes the signal data, and then forwards it to the host computer (A2) through the network interconnection module (B6).

[0049] As attached Figure 2As shown, the process and method for processing the on / off state signal are as follows: First, the on / off state acquisition module (B2) performs signal isolation and on / off threshold comparison (C4); then, the first core processing module (B4) performs signal debouncing processing (C5), phase-locked loop frequency multiplication / division, and hardware counting (C6); then, the host computer (A2) performs 0.1ms precision software clock recovery (C7); finally, the host computer (A2) displays and stores the on / off state of the solenoid valve and / or self-locking valve (A3) (C8).

[0050] As attached Figure 2 As shown, the current signal processing flow and method are as follows: First, the current signal acquisition module (B3) performs inter-channel signal isolation and AD sampling (C9); then, the second core processing module (B5) performs Sinc3 digital filtering on the acquired digital signal (C10); next, the host computer (A2) performs Butterworth low-pass digital filtering on the received digital signal (C11); then, the host computer (A2) performs real-time on / off decision and data buffer filtering on the data (C12); finally, the host computer (A2) calculates the characteristic values ​​of the solenoid valve and / or self-locking valve (A3), displays the waveform, and stores it (C13).

[0051] The core processing modules (B4 and B5) in the valve testing equipment (A1) mainly adopt a multi-core heterogeneous system composed of a processor (CPU) and a field-programmable gate array. First, it performs parallel real-time processing of multiple signals. Then, the processed multi-signal data is sent to the memory for caching through the DMA module. Finally, the multi-core processor completes the data framing and network communication, and finally realizes parallel real-time processing of multiple signals.

[0052] The host computer (A2) receives data from the valve testing equipment (A1) via a dual redundant network cable (A11). It employs real-time on / off waveform judgment and data caching filtering to filter invalid data, addressing the problem of insufficient storage capacity for large data volumes during long-term testing. The host computer (A2) software first performs large-queue data caching on the received data, completing data transfer and waveform signal transition recognition in a multi-threaded manner. When a rising edge transition occurs, a steady-state current value of proportion M is identified as the judgment condition; when a falling edge transition occurs, a steady-state current value of proportion N is identified as the judgment condition. Data within a time range P to the left and right of the identified judgment condition value is truncated and saved. M, N, and P are all configurable. During time periods without rising or falling edge transitions, data is not truncated or saved, thus filtering invalid data and improving the equipment's ability to operate for extended periods with limited storage capacity.

[0053] A time accuracy of up to 0.1ms is achieved by employing a high-speed clock phase-locked loop (PLL) frequency multiplication / division and hardware counting (C6) followed by software clock recovery (C7). The first core processing module (B4) of the valve acquisition device (A1) has an external high-speed clock source. After the clock signal enters the FPGA, it completes the hardware-fixed high-speed clock PLL frequency multiplication / division and heartbeat counting. After receiving the heartbeat count, the host computer (A2) uses the software clock recovery method to transform the heartbeat count value into a high-precision time based on the power-on time, with a relative time accuracy of 0.1ms.

[0054] The valve acquisition device (A1) first uses the Sinc3 digital filtering algorithm (C10) with hardware logic to realize the parallel real-time processing of 96 analog signals, reducing external high-frequency signal interference. Combined with the Butterworth digital low-pass filtering algorithm (C11) with adjustable parameters completed by the host computer (A2) software, dual filtering is performed to achieve high-frequency interference filtering and waveform data smoothing.

[0055] The host computer (A2) software employs an automatic discrimination algorithm to calculate, display, store, and forward the characteristics of the solenoid valve and self-locking valve, including their opening and closing states, transient on / off current curves, steady-state current (I), starting current (I1), release current (I2), starting time (t1), release time (t2), opening current ratio (I1 / I), closing current ratio (I2 / I), and action time (t). (Appendix) Figure 3 The image shows some of the characteristic values ​​of the aforementioned motion characteristics.

[0056] The online real-time monitoring method for aircraft solenoid valves and self-locking valves provided in this embodiment is as follows: Figure 4 As shown, the specific steps include:

[0057] S100. The solenoid valve and / or self-locking valve drive source sends a drive signal;

[0058] S200. Valve testing equipment receives drive signals;

[0059] S310. The sampling circuit module of the valve testing equipment sends drive signals to the solenoid valve and / or self-locking valve.

[0060] S410. Controls the operation of solenoid valves and / or self-locking valves;

[0061] S320. The valve testing equipment on / off status acquisition module performs signal isolation and on / off threshold comparison (S321); the current signal acquisition module performs signal isolation and AD current signal sampling (S322);

[0062] S420. The first core processing module of the valve testing equipment performs signal debouncing processing, hardware counting operation after phase-locked loop frequency multiplication / division, and forwards the data to the network interconnection module (S421); the second core processing module performs SinC3 digital filtering processing and forwards the data to the network interconnection module (S422).

[0063] The S520 network interconnection module forwards data to the host computer.

[0064] S620. The host computer performs software clock recovery with a precision of 0.1ms for the hardware counting information of the on / off state data (S621), and performs real-time on / off decision and current data buffering and filtering operations for the current data (S622).

[0065] The S720 host computer monitors the characteristic data of solenoid valves and self-locking valves online in real time, displays and stores the on / off status and action time, and performs characteristic value calculation, waveform display, and filtered data storage.

[0066] The solenoid valve and / or self-locking valve drive source sends a drive signal to the valve testing equipment. After receiving the drive signal, the valve testing equipment sends the drive signal to the solenoid valve and / or self-locking valve respectively. Alternatively, the valve testing equipment can process the drive signal autonomously. When the valve testing equipment sends the drive signal to the solenoid valve and / or self-locking valve, it can control the solenoid valve and / or self-locking valve. When the valve testing equipment processes the signal autonomously, it forwards the signal to the host computer, which then performs online real-time monitoring of the characteristic data of the solenoid valve and self-locking valve.

[0067] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. 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. An online real-time monitoring system for aircraft solenoid valves and self-locking valves, mainly comprising valve testing equipment (A1), a host computer (A2), solenoid valves and / or self-locking valves (A3), solenoid valve and / or self-locking valve drive sources (A5, A7), GNC monitoring equipment (A9), cables (A4, A6, A8, A10), and network cables (A11), characterized in that, The solenoid valve and / or self-locking valve (A3) is connected to the valve testing equipment (A1) via the cable (A4). The solenoid valve and / or self-locking valve drive source (A5, A7) is connected to the valve testing equipment (A1) via the cables (A6, A8). The GNC monitoring device (A9) is connected to the valve testing equipment (A1) via the cable (A10). The valve testing equipment (A1) is connected to the host computer (A2) via the network cable (A11). The valve testing equipment (A1) is used to receive drive signals, control the solenoid valve and / or self-locking valve (A3), provide a GNC monitoring channel, and acquire, process the solenoid valve and / or self-locking valve (A3) signals online in real time and forward the data stream to the host computer (A2). The host computer (A2) is used for data acquisition, processing, display, and storage; The solenoid valve and / or self-locking valve drive source (A5, A7) is used to send drive signals; The cables (A4, A6, A8, A10) are 96-channel parallel cables, and the network cable (A11) is a dual-redundant network cable; The valve testing equipment (A1) includes a sampling circuit module (B1), an on / off state acquisition module (B2), a current signal acquisition module (B3), a first core processing module (B4), a second core processing module (B5), and a network interconnection module (B6). The sampling circuit module (B1) provides interconnection of signals between the solenoid valve and / or the self-locking valve (A3) and the solenoid valve and / or the self-locking valve drive source (A5, A7); provides a back EMF drainage protection circuit for the solenoid valve and / or the self-locking valve (A3); provides a status monitoring circuit for the GNC monitoring device (A9); and provides connection with the on / off status acquisition module (B2) and the current signal acquisition module (B3) through a signal acquisition interface circuit. The first core processing module (B4) adopts a multi-core heterogeneous system composed of a processor and a field-programmable gate array, providing parallel real-time data acquisition and processing of 96 on / off status signals; The second core processing module (B5) adopts a multi-core heterogeneous system composed of a processor and a field-programmable gate array, providing parallel real-time data acquisition and processing of 96 current signals; The network interconnection module (B6) forwards the signal to the host computer (A2). The on / off status acquisition module (B2) is connected to the first core processing module (B4) and provides real-time on / off judgment of valve signals; The method of signal debouncing processing with hardware logic, frequency multiplication and / or division of high-speed clock phase-locked loop and hardware counting, and software clock recovery of the host computer (A2) are described. The current signal acquisition module (B3) is connected to the second core processing module (B5) and provides inter-channel isolation, amplification and conversion of the signal; The Sinc3 filtering algorithm, with its hardware logic fixed, enables parallel real-time processing of analog current signals, reducing external high-frequency signal interference. Combined with the Butterworth digital low-pass filtering algorithm, whose parameters are adjustable in the host computer (A2) software, dual filtering is performed. The host computer (A2) software buffers the received data in a large queue, performing data transfer and waveform signal transition identification in a multi-threaded manner. When a rising edge transition occurs, a steady-state current value of proportion M is identified as the decision condition; when a falling edge transition occurs, a steady-state current value of proportion N is identified as the decision condition. Data within the range of the identified decision condition value P is truncated and saved. M, N, and P are all configurable. During periods without rising or falling edge transitions, no data is truncated or saved, thus filtering out invalid data.

2. The online real-time monitoring system according to claim 1, characterized in that, The host computer (A2) performs software clock recovery on the on / off status signal; it uses real-time on / off waveform judgment and data buffering to filter invalid data for the current signal.

3. The online real-time monitoring system according to claim 1, characterized in that, The host computer (A2) uses an automatic discrimination algorithm to calculate, display, store, and forward the operating characteristics of the solenoid valve and / or the self-locking valve (A3).

4. The online real-time monitoring system according to claim 3, characterized in that, The operating characteristics include open / closed state, transient on / off current curve, steady-state current, starting current, release current, starting time, release time, on-state current ratio, off-state current ratio, and operating time length characteristics.

5. A method using the online real-time monitoring system according to any one of claims 1 to 4, characterized in that, Including the following steps: The solenoid valve and / or self-locking valve drive source sends a drive signal; The valve testing equipment receives drive signals; The sampling circuit module of the valve testing equipment sends a drive signal to the solenoid valve and / or the self-locking valve to control the action of the solenoid valve and / or the self-locking valve. The valve testing equipment's on / off status acquisition module performs signal isolation and on / off threshold comparison, while the current signal acquisition module performs signal isolation and AD current signal sampling. The first core processing module of the valve testing equipment performs signal debouncing, hardware counting after phase-locked loop frequency multiplication / division, and forwards the data to the network interconnection module; the second core processing module performs SinC3 digital filtering and forwards the data to the network interconnection module. The network interconnection module forwards data to the host computer; The host computer performs software clock recovery with a precision of 0.1ms for the hardware counting information of the on / off status data, and performs real-time on / off judgment and current data caching and filtering operations for the current data. The host computer monitors the characteristic data of the solenoid valve and the self-locking valve online in real time, displays the on / off status and action time, and stores the data. It also performs characteristic value calculation, waveform display, and filtered data storage.

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