Compressor safety instrument signal processing method based on ring-shaped and star-shaped framework connection

Abstract

The invention discloses a compressor safety instrument signal processing method based on ring-shaped and star-shaped framework connection, which comprises the following steps: configuring an independent I / O module for each sensor, each I / O module is provided with two network ports, any sensor is connected with a controller through a first network port, the sensors are sequentially connected through second network ports, and the first network port is connected with the controller; a ring and star combined signal transmission framework is formed; continuously monitoring the signal state from each sensor, and when the signal state is stable, selecting an optimal signal transmission path by adopting a shortest path algorithm; and when the signal state is abnormal, a load balancing mechanism is firstly adopted to eliminate paths with overhigh loads, and then a dimensional bit algorithm is utilized to dynamically evaluate the states of the remaining available paths. According to the invention, a dual redundant signal transmission path is formed by combining the ring-shaped and star-shaped frameworks, and the system can quickly respond and switch to a standby path when detecting that the signal state is abnormal, so that the uninterrupted continuous transmission of signals is ensured, and the reliability, safety and operation stability of the system are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of compressor protection control, and more specifically, to a compressor safety instrument signal processing method based on ring and star architecture connections. Background Art

[0002] With the widespread application of hydrogen energy, the operational safety of hydrogen compressors has received more and more attention. Therefore, it is very important to establish a reliable safety instrument system. Hydrogen compressors are usually equipped with multiple sensors for monitoring parameters such as hydrogen concentration, pressure, and temperature. Since each sensor of the compressor needs to be connected to the compressor control system, if each sensor is directly connected to the control system, as the number of sensors increases, there will be problems such as too many connections, complex incoming lines, and difficult maintenance. The prior art often uses a centralized architecture that connects safety instruments and other sensors to the control system at the same time. Although this connection method simplifies the wiring to a certain extent, during the signal transmission process, multiple lines are interlaced and connected, and the signal transmission process is susceptible to electromagnetic interference, resulting in problems such as signal loss or errors, affecting the stability of the system, and it is difficult to meet the high safety requirements of hydrogen refueling stations.

[0003] To solve the above problems, it is necessary to design a compressor safety instrument signal processing method based on ring and star architecture connections, which can improve the operating stability and safety of the overall system while optimizing the wiring method. Summary of the invention

[0004] The purpose of the present invention is to provide a compressor safety instrument signal processing method based on a ring and star architecture connection. A dual redundant signal transmission path is formed by combining the ring and star architectures. When an abnormal signal state is detected, the system can automatically and quickly respond and switch to a backup path, thereby ensuring uninterrupted and continuous transmission of the signal and effectively improving the reliability, safety and operational stability of the system.

[0005] In order to achieve these purposes and other advantages according to the present invention, a compressor safety instrument signal processing method based on ring and star architecture connection is provided, comprising: In the compressor safety instrument system, a separate I / O module is configured for each sensor. Any I / O module has two network ports, namely, a first network port and a second network port. Any sensor is connected to the controller through the first network port, and each sensor is sequentially connected through the second network port, forming a signal transmission architecture combining a ring type and a star type. The controller continuously monitors the signal status from each sensor. When the signal status is stable, the shortest path algorithm is used to select the optimal signal transmission path from the corresponding sensor to the controller. When the signal status is abnormal, the load balancing mechanism is first used to eliminate the path with excessive load between the corresponding sensor and the controller, and then the Vibit algorithm is used to dynamically evaluate the status of the remaining available paths and select a new optimal signal transmission path.

[0006] Preferably, the compressor safety instrument signal processing method based on the ring and star architecture connection adopts the shortest path algorithm, and the method of selecting the best signal transmission path from the corresponding sensor to the controller includes: S11, the I / O modules and controllers of each sensor are regarded as nodes in the network, and the connection lines between two nodes with a connection relationship are regarded as edges; S12. Calculate the total weight of each signal transmission path between the sensor and the controller: W=A*t+B*n, where t is the signal transmission delay of the corresponding path, n is the number of all edges passed by the corresponding path, A and B are the delay weight and edge weight respectively. Compare the total weights of all signal transmission paths between the sensor and the controller, and select the path with the smallest total weight as the optimal signal transmission path.

[0007] Preferably, in the compressor safety instrument signal processing method based on ring and star architecture connection, the value of the delay weight is dynamically adjusted with the real-time delay fluctuation ψ, that is, A'=A0(1+ψ / θ), wherein A0 is the initial delay weight of the current path, ψ=(t-Δt) / Δt, t is the real-time signal transmission delay of the current path, Δt is the historical average delay of the current path, and θ is the set delay threshold.

[0008] Preferably, in the compressor safety instrument signal processing method based on ring and star architecture connections, the controller is equipped with a load balancing module, which is configured to periodically obtain the load status in each path and implement a load balancing mechanism, wherein the load balancing mechanism includes screening out paths whose real-time load exceeds a set load threshold during path evaluation.

[0009] Preferably, the compressor safety instrument signal processing method based on the ring and star architecture connection, using the Vibit algorithm to dynamically evaluate the status of the remaining available paths and select a new optimal signal transmission path includes: S21, dynamically adjusting the total weight of each remaining available path using a threshold judgment mechanism. For any remaining available path, the method for dynamically adjusting the total weight includes: measuring the real-time delay of the current path and judging whether it exceeds a set delay threshold. When the real-time delay exceeds the set delay threshold, the total weight of the current path is corrected by the difference f between the real-time delay and the set delay threshold, that is, W'=W0+f; S22, calculating and comparing the total weights of the remaining available paths adjusted in real time, and selecting a path with the smallest total weight as a new optimal signal transmission path.

[0010] Preferably, in the compressor safety instrument signal processing method based on ring and star architecture connection, in S1, the real-time delay of the path is the average delay in the measurement cycle at the current moment.

[0011] Preferably, in the compressor safety instrument signal processing method based on ring and star architecture connection, the sensor is equipped with a fault detection and alarm module for realizing fault self-detection and sending an alarm signal to the controller.

[0012] Preferably, in the compressor safety instrument signal processing method based on ring and star architecture connections, the relevant data of each detected abnormal signal state and its processing process are stored in the local database of the controller or the remote server, and the relevant data include the source of the abnormal signal, the time when the abnormality was detected, the replacement path and the processing time.

[0013] The present invention has at least the following beneficial effects: 1. The present invention forms a dual redundant signal transmission path by combining a ring-type and a star-type architecture, thereby ensuring the diversity of the signal transmission path. At the same time, through real-time monitoring of the signal status, it can automatically and quickly respond and switch to the backup path for transmission when a signal abnormality (failure) occurs, thereby ensuring uninterrupted and continuous transmission of the signal, thereby ensuring the integrity and reliability of the data, and effectively improving the reliability, safety and operational stability of the system; 2. The present invention uses nearby I / O modules to realize modular connection of various sensors, effectively reducing the number of unnecessary connections and lines, reducing the wiring complexity and maintenance difficulty of the system, further improving the system security, and facilitating the realization of flexible modular structure expansion, facilitating the addition of new sensors or control devices according to actual needs in the future, and improving the scalability of system design; 3. With the rapid development of hydrogen energy technology, the safety requirements for hydrogen compressors are constantly increasing. The present invention not only enhances the operational safety of the equipment and the reliability of data transmission, but also provides a solid foundation for intelligent production. In the future, it will be able to further integrate advanced monitoring and control systems, promote broader industrial automation and intelligent transformation, and assist in the application and promotion of renewable energy.

[0014] Other advantages, objectives and features of the present invention will be embodied in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The present invention is a structural block diagram of a compressor safety instrument signal transmission method based on a ring and star architecture connection according to an embodiment of the present invention.

[0016] Description of reference numerals: 1. Temperature sensor; 2. Pressure sensor; 3. Hydrogen detector; 4. Flame detector; 5. Emergency stop switch; 6. Controller. DETAILED DESCRIPTION

[0017] The present invention is further described in detail below in conjunction with the accompanying drawings so that those skilled in the art can implement the invention with reference to the description.

[0018] It should be noted that the experimental methods described in the following embodiments are conventional methods unless otherwise specified, and the reagents and materials are commercially available unless otherwise specified; in the description of the present invention, the terms "lateral", "longitudinal", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0019] like Figure 1 As shown, the present invention provides a compressor safety instrument signal processing method based on a ring-type and star-type architecture connection, comprising: In the compressor safety instrument system, a separate I / O module is configured for each sensor. Any I / O module has two network ports, namely, a first network port and a second network port. Any sensor is connected to the controller 6 through the first network port, and each sensor is sequentially connected through the second network port to form a signal transmission architecture combining a ring type and a star type. The controller 6 continuously monitors the signal status from each sensor. When the signal status is stable, the shortest path algorithm is used to select the best signal transmission path from the corresponding sensor to the controller. When the signal status is abnormal, the load balancing mechanism is first used to eliminate the path with excessive load between the corresponding sensor and the controller, and then the Vibit algorithm is used to dynamically evaluate the status of the remaining available paths, and select a new best signal transmission path.

[0020] In the above technical solution, each I / O module performs bidirectional signal transmission with the controller through the first network port to realize star connection; at the same time, each sensor is regarded as a structure arranged in sequence along a certain direction according to the installation position, and the I / O modules of two adjacent sensors realize bidirectional signal transmission through the second network port, that is, the I / O module of each sensor is connected to the I / O module of the (adjacent) next sensor through the second network port to realize a ring connection; thus, a dual redundant signal transmission path is formed between the sensor and the controller through the combination of the ring and star architectures. This design provides multiple paths for signal transmission, that is, the signal from a certain sensor can be directly transmitted to the controller through the first network port of the corresponding I / O module, and can also be transmitted to other I / O modules through the second network port of the corresponding I / O module, and then transmitted to the controller, which is conducive to realizing uninterrupted signal transmission. For example, when a line fails, the signal can be quickly transmitted through the backup path, ensuring the integrity and reliability of data transmission.

[0021] On the basis of the above-mentioned signal transmission architecture combining ring and star, a real-time monitoring module for the sensor signal status is added to the system. The sensor signal status monitored by the controller can reflect the fault condition of a certain sensor or its I / O module and the change of network status. When the signal status is stable, the shortest path algorithm is used to select the best signal transmission path from the sensor to the controller to ensure efficient transmission of the signal; when the signal status is abnormal, it means that there is a node failure in the original best signal transmission path. At this time, the system will automatically perform rerouting, trigger the routing switching process, update the network topology, use the load balancing mechanism to eliminate the path with too high load, and then use the Vibit algorithm to select a new best signal transmission path, and update the new valid path in the controller. This signal processing and control method is conducive to achieving rapid response to faults, ensuring continuous and uninterrupted transmission of signals, and effectively improving the reliability, security and stability of the system.

[0022] In this embodiment, the multiple sensors in the compressor safety instrument system include a temperature sensor 1, a pressure sensor 2, a hydrogen detector 3, and a flame detector 4. The compressor safety instrument system is also equipped with an emergency stop switch 5, which is directly connected to the controller to realize the transmission of the emergency stop signal, so that the staff can send an emergency stop signal to the controller by pressing the emergency stop switch in an emergency, thereby realizing the rapid shutdown of the system. The controller adopts a PLC control method to realize functions such as rapid response and integrated control of multiple devices. The judgment of whether the signal state is stable / abnormal is achieved by detecting whether the signal can be smoothly transmitted to the controller within the set threshold range. Taking the hydrogen concentration monitoring function as an example, the sensor signal transmission path selection and switching process of the present invention are introduced. The hydrogen detector 3 adopts a hydrogen concentration sensor, which is connected to the controller through the I / O module M3. Under normal circumstances, the delay is low and the signal strength is good. The system gives priority to the path directly connected to the controller through the first network port of M3 for signal transmission. When I / O module M3 fails, the system will automatically determine and identify the fault (based on the signal status) and enter the path evaluation and switching process: first, the path connected to the controller through I / O module M1 is excluded through the load balancing mechanism, and then the signal delay of the remaining available paths (such as the path connected to the controller through I / O module M2 / M4) is evaluated in real time through the Vibit algorithm. If the path corresponding to I / O module M2 has better delay and signal strength after evaluation than the path corresponding to I / O module M4, the system will quickly switch to the path transmitted to the controller through I / O module M2 to ensure the continuity and stability of signal transmission.

[0023] Although some existing technologies have also introduced redundant designs in signal transmission, such as adding backup circuits, they usually lack effective fault detection and response mechanisms. Once a critical line fails, the safety of the entire system will be threatened, and the recovery time is long, which seriously affects the normal operation of the system; in addition, there is also the problem of poor scalability of system design. When new sensors or control devices need to be added, redesign and wiring are often required, which increases the complexity and safety hazards of the system. In view of the above problems, the present invention proposes a compressor safety instrument signal processing method based on ring and star architecture connection. On the one hand, a dual redundant signal transmission path is formed by combining the ring and star architectures to ensure the diversity of the signal transmission path. Combined with real-time monitoring of the signal state, it can automatically and quickly respond and switch to the backup path for transmission when a signal abnormality (fault) occurs, ensuring the uninterrupted and continuous transmission of the signal, thereby ensuring the integrity and reliability of the data, and effectively improving the reliability, safety and operation stability of the system; on the other hand, the modular connection structure is adopted to reduce the wiring complexity and maintenance difficulty of the system, and is conducive to realizing flexible modular structure expansion, which is convenient for adding new sensors or control devices according to actual needs in the future, and improves the scalability of the system design.

[0024] In another technical solution, the compressor safety instrument signal processing method based on ring and star architecture connection adopts the shortest path algorithm to select the best signal transmission path from the corresponding sensor to the controller, including: S11, the I / O modules and controllers of each sensor are regarded as nodes in the network, and the connection lines between two nodes with a connection relationship are regarded as edges; the I / O modules are placed near the corresponding sensors, and the two can be regarded as the same node in the network after being connected; S12. Use the shortest path algorithm to calculate the total weight W of each signal transmission path between the sensor and the controller: W=A*t+B*n, where t is the signal transmission delay of the corresponding path, n is the number of all edges that the corresponding path passes through, A and B are the delay weight and edge weight respectively, compare the total weight of all signal transmission paths between the sensor and the controller, and select the path with the smallest total weight as the optimal signal transmission path. Among them, the path with the smallest total weight calculated is the shortest signal transmission path between the current sensor and the controller, which can be used as the optimal signal transmission path for signal transmission.

[0025] In the above technical solution, the controller periodically sends test signals to each sensor and its I / O module to measure the delay and availability of each path, so that different algorithms combined with delay data can be used to evaluate and select each signal transmission path according to different working conditions.

[0026] In this embodiment, considering the safety issues in the industrial field, the initial setting values ​​of the delay weight and the edge weight are: A = 0.7, B = 0.3. The signal transmission delay t of the corresponding path can use the real-time signal transmission delay of the current path.

[0027] In another technical solution, in the compressor safety instrument signal processing method based on ring and star architecture connection, the value of the delay weight is dynamically adjusted with the real-time delay fluctuation ψ, that is, A'=A0(1+ψ / θ), wherein A0 is the initial delay weight of the current path, ψ=(t-Δt) / Δt, t is the real-time signal transmission delay of the current path, Δt is the historical average delay of the current path, and θ is the set delay threshold.

[0028] In the above technical solution, the value of the delay weight used in the calculation of the total path weight W in S12 is dynamically adjusted based on the delay fluctuation, A0 is the delay weight value initially set by the system (in this embodiment, A0=0.7), the delay threshold is the maximum delay fluctuation range that is acceptable on the current path preset by the system, the historical average delay can be taken as the average of multiple groups of delay values ​​of the path obtained by multiple samplings within the first 10 seconds of the current moment, and A' is the adjusted delay weight value.

[0029] The above method can be used to calculate the value of the delay weight after real-time adjustment with the delay fluctuation, that is, in S12, the value of the delay weight changes dynamically with the real-time delay fluctuation of the corresponding path. After calculating the adjusted delay weight value A' corresponding to the current moment, the delay weight A and the edge weight B are normalized and adjusted based on this value (A+B=1 must be maintained), and then the total weight of the current path is calculated and compared horizontally, and the path with the smallest total weight is selected from all feasible paths as the optimal signal transmission path. Among them, when adjusting the delay weight and edge weight, since the calculated value of A' may be greater than 1, in actual applications, the value of A' must be normalized first, that is, A''=A' / (A'+B0), B0 is the edge weight value initially set by the system (in this embodiment, B0=0.3), and the delay weight A takes the value of A'' after normalization adjustment, and then the value of edge weight B is dynamically adjusted based on "A+B=1". Therefore, when using the shortest path algorithm to calculate and select the optimal signal transmission path from the sensor to the controller, the impact of real-time delay fluctuations on signal transmission is additionally considered, which can further improve the real-time, authenticity and reliability of the total path weight calculation, and then select a more suitable path for signal transmission, ensuring efficient and stable operation of the system.

[0030] In another technical solution, the signal processing method of compressor safety instrument based on ring and star architecture connection, the controller is equipped with a load balancing module, which is configured to periodically obtain the load status in each path and implement a load balancing mechanism, and the load balancing mechanism includes screening out the path whose real-time load exceeds the set load threshold during path evaluation. Among them, when an abnormal signal state is detected, the signal transmission path between the corresponding signal source (sensor) and the controller needs to be re-evaluated. In the path evaluation, for the case of a large number of sensors, the number of optional paths will also increase accordingly. In order to reduce the amount of calculation, the load balancing module can be used to exclude some paths with excessively high loads in advance. Specifically, the load threshold of each path is preset in the load balancing module. When it is detected that the load of a certain path at the current moment exceeds the set load threshold, the system automatically determines to screen out the path from the available (optional) paths, and the remaining available paths enter the next round of evaluation.

[0031] In another technical solution, the compressor safety instrument signal processing method based on the ring and star architecture connection, using the Vibit algorithm to dynamically evaluate the status of the remaining available paths and select a new optimal signal transmission path includes: S21, dynamically adjusting the total weight of each remaining available path using a threshold judgment mechanism. For any remaining available path, the method for dynamically adjusting the total weight includes: measuring the dynamic delay of the current path and judging whether it exceeds a set delay threshold. When the dynamic delay exceeds the set delay threshold, the total weight of the current path is corrected by the difference f between the dynamic delay and the set delay threshold, that is, W'=W0+f; The dynamic delay can be the real-time signal transmission delay of the current path, the set delay threshold is the maximum delay fluctuation range that is preset by the system and can be accepted on the current path, and W0 is the total weight value of the current path before the abnormality occurs, that is, the total weight W value calculated in S12 of the path before the abnormality occurs; S22, calculating and comparing the total weights of the remaining available paths adjusted in real time, and selecting a path with the smallest total weight as a new optimal signal transmission path.

[0032] In the above technical solution, the Vibit algorithm is used to dynamically adjust the total weight of the remaining available paths according to the test data, so that the results of path evaluation are more real and reliable, and the new optimal signal transmission path selected is more reasonable, thereby ensuring the efficient operation of the system.

[0033] In another technical solution, in the compressor safety instrument signal processing method based on ring and star architecture connection, in S1, the dynamic delay of the path is the average delay in the measurement cycle at the current moment. In the above technical solution, the running time after the system is started is divided into multiple measurement cycles, and the duration of each measurement cycle is the same (such as T=10s). The dynamic delay can further take the average value of multiple groups of delay data of the path in the measurement cycle at the current moment, thereby ensuring that the value of the dynamic delay used for dynamic adjustment of the total weight of the path is sufficiently representative and accurate, avoiding the influence of occasional instantaneous values ​​on the calculation and evaluation results, and further ensuring the accuracy of path evaluation and selection.

[0034] In another technical solution, in the compressor safety instrument signal processing method based on ring and star architecture connection, the sensor is equipped with a fault detection and alarm module, which is used to realize fault self-detection and send an alarm signal to the controller, so that the system can assist in judging the specific fault situation and location when identifying an abnormal signal state, and then select the appropriate working mode and output accurate fault / alarm information.

[0035] In another technical solution, the compressor safety instrument signal processing method based on the ring and star architecture connection, each abnormal signal state detected and the relevant data of the processing process are stored in the local database of the controller or the remote server, and the relevant data include the source of the abnormal signal, the time when the abnormality is detected, the replacement path and the processing time. Among them, the system records the fault information and signal status, which is helpful to realize the subsequent fault analysis and system performance optimization.

[0036] The present invention is mainly used in the safety instrument system of hydrogen compressors, and is particularly suitable for safety monitoring and control systems in hydrogen refueling stations, hydrogen power generation equipment and related industrial processes. At the same time, it can also be extended to other industries involving gas monitoring and pressure control, such as petrochemical industry, environmental monitoring, etc., and has broad and good application prospects.

[0037] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and the implementation modes, and they can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily implemented. Therefore, without departing from the general concept defined by the claims and the scope of equivalents, the present invention is not limited to the specific details and the illustrations shown and described herein.

Claims

1. A signal processing method for compressor safety instruments based on ring and star architecture connections, characterized in that: include: In the compressor safety instrument system, a separate I / O module is configured for each sensor. Any I / O module has two network ports, namely, a first network port and a second network port. Any sensor is connected to the controller through the first network port, and each sensor is sequentially connected through the second network port, forming a signal transmission architecture combining a ring type and a star type. The controller continuously monitors the signal status from each sensor. When the signal status is stable, the shortest path algorithm is used to select the optimal signal transmission path from the corresponding sensor to the controller. When the signal status is abnormal, the load balancing mechanism is first used to eliminate the path with excessive load between the corresponding sensor and the controller, and then the Vibit algorithm is used to dynamically evaluate the status of the remaining available paths and select a new optimal signal transmission path.

2. The compressor safety instrument signal processing method based on ring and star architecture connection according to claim 1 is characterized in that: The method of selecting the best signal transmission path from the corresponding sensor to the controller using the shortest path algorithm includes: S11, the I / O modules and controllers of each sensor are regarded as nodes in the network, and the connection lines between two nodes with a connection relationship are regarded as edges; S12. Calculate the total weight of each signal transmission path between the sensor and the controller: W=A*t+B*n, where t is the signal transmission delay of the corresponding path, n is the number of all edges passed by the corresponding path, A and B are the delay weight and edge weight respectively. Compare the total weights of all signal transmission paths between the sensor and the controller, and select the path with the smallest total weight as the optimal signal transmission path.

3. The compressor safety instrument signal processing method based on ring and star architecture connection according to claim 2 is characterized in that: The value of the delay weight is dynamically adjusted with the real-time delay fluctuation ψ, that is, A'=A0(1+ψ / θ), where A0 is the initial delay weight of the current path, ψ=(t-Δt) / Δt, t is the real-time signal transmission delay of the current path, Δt is the historical average delay of the current path, and θ is the set delay threshold.

4. The compressor safety instrument signal processing method based on ring and star architecture connection according to claim 1, characterized in that: The controller is equipped with a load balancing module, which is configured to periodically obtain the load status in each path and implement a load balancing mechanism, wherein the load balancing mechanism includes screening out paths whose real-time load exceeds a set load threshold during path evaluation.

5. The compressor safety instrument signal processing method based on ring and star architecture connection according to claim 2, characterized in that: Methods for dynamically evaluating the status of remaining available paths using the Vibit algorithm and selecting a new optimal signal transmission path include: S21, dynamically adjusting the total weight of each remaining available path using a threshold judgment mechanism. For any remaining available path, the method for dynamically adjusting the total weight includes: measuring the real-time delay of the current path and judging whether it exceeds a set delay threshold. When the real-time delay exceeds the set delay threshold, the total weight of the current path is corrected by the difference f between the real-time delay and the set delay threshold, that is, W'=W0+f; S22, calculating and comparing the total weights of the remaining available paths adjusted in real time, and selecting a path with the smallest total weight as a new optimal signal transmission path.

6. The compressor safety instrument signal processing method based on ring and star architecture connection according to claim 5, characterized in that: In S1, the real-time delay of the path is the average delay in the measurement period at the current moment.

7. The compressor safety instrument signal processing method based on ring and star architecture connection according to claim 1, characterized in that: The sensor is equipped with a fault detection and alarm module for realizing fault self-detection and sending an alarm signal to the controller.

8. The compressor safety instrument signal processing method based on ring and star architecture connection according to claim 1, characterized in that: The relevant data of each detected abnormal signal state and its processing process are stored in the local database of the controller or the remote server, and the relevant data include the source of the abnormal signal, the time when the abnormality is detected, the replacement path and the processing time.

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