WO2023185061A1

WO2023185061A1 - Function security system detection method and system, electronic device, and storage medium

Info

Publication number: WO2023185061A1
Application number: PCT/CN2022/136233
Authority: WO
Inventors: 朱杰; 庞欣然; 张则立; 钱泽爽; 刘黎; 赖一宁
Original assignee: 浙江中控技术股份有限公司
Priority date: 2022-04-02
Filing date: 2022-12-02
Publication date: 2023-10-05
Also published as: CN114860518A

Abstract

The present invention provides a function security system detection method and system, an electronic device, and a storage medium. The detection method comprises the following steps: transmitting preset detection parameters to a hardware testing apparatus by means of a software platform, wherein the hardware testing apparatus is connected to the software platform by means of a communication network; the hardware testing apparatus receiving the detection parameters and then transmitting same to a function security system, wherein functional modules in the function security system are electrically connected to the hardware testing apparatus; the hardware testing apparatus feeding back, to the software platform, part of diagnosis data generated by the function security system on the basis of the detection parameters, and the function security system feeding back the other part of the diagnosis data to the software platform; and the software platform analyzing the diagnosis data, generating, according to an analysis result, a detection report of the function security system, and further providing a suggestion according to the detection report. Therefore, the potential failure risk of the function security system can be effectively eliminated, and the security integrity capability of the system is improved.

Description

Detection methods, systems, electronic equipment, and storage media for functional safety systems

Technical field

The present invention relates to the technical field of equipment detection, and in particular to a detection method, detection system, electronic equipment and storage medium of a functional safety system.

Background technique

Functional safety systems are used to respond and protect production devices and equipment in a timely manner against potential dangers or improper measures, so that production devices and equipment enter a predefined safe shutdown condition (such as a cut-off switch), thereby reducing the risk to an acceptable level. to ensure the safety of production equipment, equipment and the surrounding environment.

technical problem

In the field of industrial automation, in order to improve the safety integrity of functional safety systems, key components (or subsystems) in the system usually use card self-diagnosis to check their own health status and fault conditions. Functional safety systems usually run in relatively complex industrial environments for a long time. Although the probability is very low during long-term operation, faults will inevitably occur. Most of these faults will be discovered by the diagnostic mechanism of the system itself, but they are not always possible. It is not comprehensive, and it cannot rule out that the functional safety system's self-diagnostic function failure leads to incorrect diagnosis results. Therefore, in the existing technology, the functional safety system cannot comprehensively detect the health status and fault conditions of all key components (or subsystems). And the reliability of self-diagnosis results is low.

Functional safety systems cannot achieve 100% detection of faults, resulting in undetectable functional failures in the system. When on-site equipment operates normally for a long time, the risks caused by such failures will accumulate over time, eventually reducing the system's safety integrity capabilities; at the same time, the functional safety system cannot execute the parking protection logic when action is required on site. Endanger the safety of assets, environment and personnel.

Technical solutions

The main technical problem solved by the present invention is to provide a detection method, detection system, electronic equipment, and storage medium for a functional safety system, which can effectively eliminate potential failure risks in the functional safety system and improve the safety integrity capability of the system.

In order to solve the above technical problems, one technical solution adopted by the present invention is to provide a detection method for a functional safety system. The detection method includes the following steps:

Send preset detection parameters to the hardware testing device through the software platform, where the hardware testing device is connected to the software platform through a communication network;

The hardware testing device receives the detection parameters and sends them to the functional safety system, wherein the functional modules in the functional safety system are electrically connected to the hardware testing device;

A part of the diagnostic data generated by the functional safety system based on the detection parameters is fed back to the software platform by the hardware testing device, and the other part of the diagnostic data is fed back to the software platform by the functional safety system;

The software platform analyzes the diagnostic data, generates a detection report of the functional safety system based on the analysis results, and further provides suggestions based on the detection report.

Among them, before sending the preset detection parameters to the hardware testing device through the software platform, it includes:

A part of the diagnostic data generated by the functional safety system based on the detection parameters is fed back to the software platform by the hardware testing device, and the other part of the diagnostic data is fed back to the software platform by the functional safety system, Test cases include input set values and output set values;

The software management platform associates the input setting values and output setting values in the test case set;

The detection methods include:

Send the input setting values of the test cases to the hardware test device through the software platform;

The hardware testing device receives the input setting value and converts it into a corresponding test instruction and sends it to the functional safety system;

The functional safety system generates actual output values based on the input test instructions, performs data integration processing based on the test information of the input set value, output set value and actual output value, and passes the hardware test device and all The functional safety system feeds back the integrated data to the software platform; the software platform performs data validity and correctness diagnosis, historical data recording and data trend analysis based on the received data, and further analyzes the functional safety system. functional integrity, and use the results of the analysis as the test report.

Among them, the detection parameters include parameters related to at least one of the following characteristics: signal accuracy, response time, degradation, voting and parking.

Wherein, the detection report includes whether the functional safety system is in a healthy, sub-healthy or faulty state.

When the detection parameters include response time characteristics, the detection method includes:

Send start-up test instructions to the hardware test device through the software platform, and simultaneously issue loop detection parameters. The detection parameters include input interlocking thresholds, interlocking modes, and output interlocking thresholds;

When the hardware testing device receives the start test instruction, the input interlocking threshold is sent to the AI module corresponding to the response time of the functional safety system;

The hardware testing device starts a timer and obtains a part of the diagnostic data fed back by the AI module in real time; when the diagnostic data reaches the output interlocking threshold, the timer value is recorded and the time recorded by the timer is used as a response. time and sent to the software platform, and another part of the diagnostic data is sent to the software platform by the functional safety system;

The software platform obtains the response time data and the diagnostic data and performs data analysis to obtain the analysis results.

Wherein, the data analysis process includes: screening abnormal results, and counting the maximum value, minimum value and average value.

Wherein, the detection method further includes: displaying the response time value through an interface.

In order to solve the above technical problems, the present invention also adopts a technical solution: providing a detection system, the detection system software platform, hardware testing device and network module, wherein:

Send preset detection parameters to the hardware testing device through the software platform, wherein the hardware testing device is connected to the software platform through the communication network of the network module;

In order to solve the above technical problems, another technical solution adopted by the present invention is to provide an electronic device. The electronic device includes a processor and a memory. The memory stores a computer program for the processor to execute the above-mentioned steps. method.

In order to solve the above technical problems, another technical solution adopted by the present invention is to provide a computer-readable storage medium, which stores a computer program for the processor to execute the method described above.

beneficial effects

The beneficial effects of the present invention are: different from the existing technology, it provides a detection method, detection system, electronic equipment, and storage medium for a functional safety system. The detection method includes the following steps: sending preset detection parameters through a software platform to the hardware testing device, wherein the hardware testing device is connected to the software platform through a communication network; the hardware testing device receives the detection parameters and sends them to the functional safety system, wherein the functional safety system The functional module is electrically connected to the hardware testing device; a part of the diagnostic data generated by the functional safety system based on the detection parameters is fed back to the software platform by the hardware testing device, and the other part of the diagnostic data is fed back to the software platform by the functional safety system. The functional safety system feeds back to the software platform; the software platform analyzes the diagnostic data, generates a detection report of the functional safety system based on the analysis results, and further follows up on the detection report to provide suggestions. Therefore, potential failure risks in functional safety systems can be effectively eliminated and the safety integrity capabilities of the system can be improved.

Description of drawings

Figure 1 is a flow chart of a detection method for a functional safety system provided by an embodiment of the present invention;

Figure 2 is a flow chart of another detection method of a functional safety system provided by an embodiment of the present invention;

Figure 3 is a flow chart of yet another functional safety system detection method provided by an embodiment of the present invention;

Figure 4 is a schematic structural diagram of a detection system provided by an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

Best Mode of Carrying Out the Invention

Type here the paragraph describing the best mode for carrying out the invention.

Embodiments of the invention

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concepts of the example embodiments. To those skilled in the art. The described features, structures or characteristics may be combined in any suitable manner in one or more embodiments.

Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities.

These functional entities may be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and/or processor devices and/or microcontroller devices. It should be noted that the embodiments, implementation methods and technical features of the present invention can be combined with each other without conflict, and the sequence of steps in the present invention is only for example. In the absence of conflict, it is not specific. The order is restricted.

Please refer to Figure 1 , which is a schematic flow chart of a detection method for a functional safety system provided by an embodiment of the present application. As shown in Figure 1, the detection method in this embodiment includes:

Step S1: Send the preset detection parameters to the hardware testing device through the software platform, where the hardware testing device is connected to the software platform through a communication network.

Step S2: The hardware testing device receives the detection parameters and sends them to the functional safety system, where the functional modules (eg components) in the functional safety system are electrically connected to the hardware testing device.

Step S3: A part of the diagnostic data generated by the functional safety system based on the detection parameters is fed back to the software platform by the hardware testing device, and the other part of the diagnostic data is fed back to the software platform by the functional safety system. software platform.

Step S4: The software platform analyzes the diagnostic data, generates a detection report of the functional safety system based on the analysis results, and further provides suggestions based on the detection report.

Before step S1, a test plan is formulated according to the test requirements, and a test case set is written based on the characteristics of the test object. The test case includes an input setting value and an output setting value as the detection parameters. Further, the software management platform associates the input setting values and output setting values in the test case set. More specifically, test cases include input variables and output variables of various types. For each type of input variable and output variable, input setpoints and output setpoints are set. Further, a preset number of input setting values and output setting values may be grouped to form at least one set of test cases. It is also possible to group input set values and output set values within a preset range to form the same set of test cases.

Detection parameters include parameters related to at least one of the following characteristics: signal accuracy, response time, degradation, voting, and shutdown. It should be understood that the input setting values and output setting values of the test cases mentioned above can be set according to the differences in these characteristics.

Referring to Figure 2, the detection method according to an embodiment of the present application includes the following steps:

Step S10: Send the input setting value of the test case to the hardware testing device through the software platform.

Step S20: After receiving the input setting value, the hardware testing device converts it into a corresponding test instruction and sends it to the functional safety system.

Step S30: The functional safety system generates an actual output value based on the input test instruction, and performs data integration processing based on the test information of the input set value, output set value and actual output value.

And the integrated data is fed back to the software platform through the hardware testing device and the functional safety system.

Step S40: The software platform performs data validity and correctness diagnosis, historical data recording and data trend analysis based on the received data, further analyzes the functional integrity of the functional safety system, and uses the results of the analysis as The test report.

Wherein, the detection report includes whether the functional safety system is in a healthy, sub-healthy or faulty state. Healthy means the functional safety system is functioning properly. Sub-health represents a single or multiple components in a functional safety system that are at a critical point of failure or have failed and recovered. A fault represents a faulty state of a single or multiple components of a functional safety system.

In one embodiment, a hardware test device is used to simulate normal on-site signal input or output, the software platform reads diagnostic data generated during the operation of the functional safety system, and determines the health status of the functional safety system through diagnostic data analysis and evaluation. If the diagnostic data analysis shows that the functional safety system is operating normally, the functional safety system is judged to be healthy; if the diagnostic data analysis shows that the functional safety system is at a critical point of failure or has experienced a failure and recovered, the functional safety system is judged to be sub-healthy; if the health diagnosis If the data analysis shows that the functional safety system is in a certain fault state, it is judged to be a functional safety system failure.

Furthermore, for functional safety systems in operation, tests aimed at verifying the integrity of the self-diagnostic function can also be carried out. Specifically, abnormal on-site signal input or output can be simulated through hardware test devices, and the software platform reads diagnostic data generated during the operation of the functional safety system. If the health diagnosis information can alarm abnormal on-site signals, it is judged that the self-diagnostic circuit of the functional safety system is normal; if the health diagnosis information cannot detect and alarm abnormal on-site signals or report unexpected diagnosis results, it is judged that the functional safety system is normal. There is a fault in the self-diagnostic circuit.

In one embodiment, control instructions are issued through the software platform to cause the functional safety system to actively enter a specific fault state, including but not limited to degradation, abnormal reset, and communication loss. If the functional safety system can respond to faults according to expected behavior patterns and lead to a safe state in time, the system is judged to be healthy, otherwise it is faulty. In the same way, the judgment principle is the same if the control command issued is in the normal state.

Further, the software platform is used to read and analyze the health diagnosis data of functional safety system components before and after fault injection, and form a health diagnosis test report for each component. The content of the test report includes but is not limited to health status assessment, fault prediction, fault analysis and location, and fault analysis. Eliminate solutions.

Please refer to Figure 3. When the detection parameters include response time characteristics, the detection method in this embodiment includes the following steps:

Step S311: Send a startup test instruction to the hardware test device through the software platform, and simultaneously send loop detection parameters. The detection parameters include input interlocking threshold, interlocking mode, and output interlocking threshold.

Before step S311, it also includes bypassing the input instrument and output device of the logical loop under test.

Step S312: After receiving the start test instruction, the hardware testing device sends the input interlock threshold to the AI module corresponding to the response time of the functional safety system.

Step S313: The hardware testing device starts a timer and obtains a part of the diagnostic data fed back by the AI module in real time; when the diagnostic data reaches the output interlocking threshold, the timer value is recorded, and the timer value is recorded. The time is used as the response time and sent to the software platform, and another part of the diagnostic data is sent to the software platform by the functional safety system. Furthermore, the response time value can also be displayed through the interface. Specifically, about 100 groups of response time values can be displayed.

Step S314: The software platform obtains the response time data and the diagnostic data and performs data analysis to obtain the analysis results.

The data analysis process in step S314 includes: screening abnormal results and counting the maximum value, minimum value and average value.

This application also provides a detection system to perform the detection method described above. Please refer to Figure 4 for details. Figure 4 is a schematic structural diagram of a detection system provided by an embodiment of the present application. As shown in Figure 4, the detection system 20 of this embodiment includes a detection system software platform 21, a hardware testing device 22 and a network module 23, wherein:

Send the preset detection parameters to the hardware testing device 22 through the software platform 21, where the hardware testing device 22 is connected to the software platform through the communication network of the network module 23;

The hardware testing device 22 receives the detection parameters and sends them to the functional safety system, where the functional modules in the functional safety system are electrically connected to the hardware testing device.

A part of the diagnostic data generated by the functional safety system based on the detection parameters is fed back to the software platform by the hardware testing device, and the other part of the diagnostic data is fed back to the software platform by the functional safety system.

The software platform analyzes the diagnostic data, generates a detection report of the functional safety system based on the analysis results, and further follows up on the detection report to provide suggestions.

In this embodiment, the hardware testing device 22, the software platform 21, and the object under test (functional safety system) are deployed in the same security network. Data transmission is ensured by a security-specific protocol to ensure the security of the data and to prevent camouflage and tampering of the data. , protection ability against insertion. The test system and the object under test communicate through its own protocol. The protocol is specific and secure. The network does not use a public bus protocol, such as CAN, but only the object under test, the hardware test device 22 and the software platform 21 secure communication protocol for mutual recognition. This ensures that the control instructions and data will not be parsed by a third party during the test process. If a third-party device is hung on the network, it can be ensured that the detection system will not be attacked or the data will be maliciously tampered with.

The software platform 21 can be deployed on a computer and includes five major functional components, namely: information management component, function management component, data analysis component, report compilation component and network management component. Please refer to Figure 4 together. The above five major functional components are specifically divided into two-level sub-components to achieve corresponding functions, such as:

1. Project management component: manages the information of the entire inspection and testing project, including project information, device information, section information, personnel information, etc.

2. Control station management component: manages functional safety system information, including control room information, operating station information, functional safety system information, etc.;

3. Process management component: manages the execution sequence of each inspection and test work, as well as the mutual constraints between test processes;

4. Business data interaction component: manages the interaction data between the integrated inspection and testing device and the functional safety system, including the issuance of instructions and the uploading of test process data;

5. Information collection and management component: conducts information management of data for each test process, refines classification of large amounts of data, improves data quality, and supports the import and export of various types of files;

6. Interface interaction component: Management UI interface, which mainly displays process progress, system status, real-time data, operation prompts and other information;

7. Data analysis component: Based on multi-dimensional and hierarchical system information characteristics, it automatically analyzes and evaluates the status of the functional safety system, evaluates the historical and current operating conditions of the device, and predicts future health conditions;

8. Report management component: manages reports at each stage of the entire testing cycle, displays them visually, and supports import and export;

9. Information security component: manages the information security of the device, including operation rights management, access rights management, etc.;

10. Communication driver component: manages communication with functional safety systems, inspection and test devices and other engineering stations;

The software platform 21 is compatible with the hardware test device 22 and the object under test (functional safety system), supports the addition of secondary sub-components, and is therefore scalable.

Therefore, this embodiment is managed by the above-mentioned function management component, and is related to the secondary sub-component process management component, business data interaction component, and data analysis component to execute signal accuracy, response time, degradation, alarm indication, network communication load, and parking logic. Functional testing.

The hardware testing device 22 includes various signal input and output types, such as analog signal types, digital signal types, etc. The hardware testing device 22 receives the control instructions issued by the software platform 21 to execute relevant functions, and transmits diagnostic data of the functional safety system to the software platform 21 in real time. The hardware test device 22 and the object under test (functional safety system) transmit and feedback test signals through hard wiring. Specifically, as shown in Figure 4, the hardware testing device 22 is used to output input and output signals of simulated field devices (the signals are issued by the software platform 21), and the signals are connected to the object under test (functional safety system X/Y) through hard wiring. The modules PAI, module PDI and module PDO on the hardware test device can simulate on-site analog and digital input and output signals.

After receiving the test signal, the functional safety system of the object under test performs signal processing, diagnosis, executes the logic program and outputs a corresponding output signal, and the output signal is connected back to the hardware testing device 22 .

The software platform 21 reads the diagnostic data in the hardware test device 22 and the controller of the object under test through the communication network, and the data analysis component analyzes and organizes the collected data.

For example, as mentioned above, when the detection parameters include response time characteristics, the detection system of this embodiment performs detection in the following manner:

First, bypass the input instruments and output devices of the logic loop under test.

Further, the PAI module/signal probe of the hardware test device 22 is connected to the AI module/module signal point input side corresponding to the functional safety system through hard wiring; the DO module/DO module signal point output side is connected to the PDO module/ signal probe.

Further, the software platform 21 sends a startup test instruction to the PAI module and the PDO module of the hardware test device 22, and simultaneously sends loop detection parameters. The detection parameters include input interlocking threshold, interlocking mode and output interlocking threshold. .

Further, when the PAI module of the hardware testing device 22 receives the start test instruction, the input interlock threshold is sent to the AI module of the functional safety system corresponding to the response time. When the PDO module receives the start test command, the timer is started, and the output signal of the DO module is obtained in real time; when the output data reaches the output interlock threshold, the timer value is recorded, and the time recorded by the timer is as response time. Furthermore, the response time value can also be displayed through the interface. Specifically, about 100 groups of response time values can be displayed.

Further, the software platform 21 obtains the response time data and performs data analysis to obtain the analysis results. The data analysis process includes: screening abnormal results and counting the maximum, minimum and average values.

After the detection is completed, the bypass state of the field device is restored.

This application is based on an independent integrated detection system, which is independent of the object under test (functional safety system), operates independently of each other without interfering with each other, and has high system independence.

It should be noted that the detection process of this application is an offline test, and the detection process does not affect and is independent of the function execution of the object being tested. Offline testing refers to the period when the detection system is working when the functional safety system is in a bypass maintenance state or on-site shutdown for maintenance. At this time, the functional safety system is in an "offline" state relative to the production process. The detection system can completely simulate the input-control-output loop control logic and test its functions without worrying about the impact of changes in the input and output status of the functional safety system during the test on the original production process. Compared with online testing, offline testing is more operable and safer.

The detection process of this application is a closed loop. After the detection system generates a detection report, it can guide the intervention and improvement of engineering and technical personnel until the system faults and defects are resolved. Specifically, the software platform 21 of this application includes a data analysis component, which analyzes and integrates the diagnostic data and related alarm information fed back from the functional safety system during the detection process and automatically generates a detection report. The test report includes the integration of diagnostic data, status assessment of the tested object, risk prediction, follow-up maintenance suggestions, etc. Technicians can perform targeted maintenance based on the test report results to improve rectification efficiency. At the same time, the software platform 21 integrates a detection report sorting component to manage and record operations, management processes, data, etc. during the maintenance process. Because the software platform 21 runs through the planning, execution, recording, evaluation, feedback, and rectification recording of inspections, and emphasizes the sequence of inspection processes, it is a tool platform for full life cycle management of inspections.

An electronic device 800 according to such an embodiment of the invention is described below with reference to FIG. 5 . The electronic device 800 shown in FIG. 5 is only an example and should not impose any limitations on the functions and usage scope of the embodiments of the present invention. The electronic device 800 may be the master device or slave device mentioned above.

As shown in Figure 5, electronic device 800 is embodied in the form of a general computing device. The components of the electronic device 800 may include, but are not limited to: the above-mentioned at least one processing unit 810, the above-mentioned at least one storage unit 820, a bus 830 connecting different system components (including the storage unit 820 and the processing unit 810), and the display unit 840.

Wherein, the storage unit stores program code, and the program code can be executed by the processing unit 810, so that the processing unit 810 performs various exemplary methods according to the present invention described in the "Exemplary Method" section of this specification. Example steps. For example, the processing unit 810 can perform step S1 in Figure 1: sending preset detection parameters to the hardware testing device through a software platform, where the hardware testing device is connected to the software platform through a communication network. Step S2: The hardware testing device receives the detection parameters and sends them to the functional safety system, where the functional modules in the functional safety system are electrically connected to the hardware testing device. Step S3: Receive diagnostic data generated by the functional safety system based on the detection parameters through the hardware testing device, and further feed back the diagnostic data to the software platform. Step S4: The software platform analyzes the diagnostic data, generates a detection report of the functional safety system based on the analysis results, and further provides suggestions based on the detection report.

The storage unit 820 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 821 and/or a cache storage unit 822, and may further include a read-only storage unit (ROM) 823.

Storage unit 820 may also include a program/utility 824 having a set of (at least one) program modules 825 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, Each of these examples, or some combination, may include the implementation of a network environment.

Bus 830 may be a local area representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or using any of a variety of bus structures. bus.

Electronic device 800 may also communicate with one or more external devices 870 (e.g., keyboard, pointing device, Bluetooth device, etc.), may also communicate with one or more devices that enable a user to interact with electronic device 800, and/or with Any device that enables the electronic device 800 to communicate with one or more other computing devices (eg, router, modem, etc.). This communication may occur through input/output (I/O) interface 850. Furthermore, the electronic device 800 may also communicate with one or more networks (eg, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through a network adapter 860. As shown, network adapter 860 communicates with other modules of electronic device 800 via bus 830. It should be understood that, although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage system, etc.

Through the description of the above embodiments, those skilled in the art can easily understand that the example embodiments described here can be implemented by software, or can be implemented by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product. The software product can be stored in a non-volatile storage medium (which can be a CD-ROM, U disk, mobile hard disk, etc.) or on the network. , including several instructions to cause a computing device (which may be a personal computer, server, terminal device, or network device, etc.) to execute the method according to the embodiment of the present invention.

In an exemplary embodiment of the present invention, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method in this specification is stored. In some possible embodiments, various aspects of the present invention can also be implemented in the form of a program product, which includes program code. When the program product is run on a terminal device, the program code is used to cause the The terminal device performs the steps according to various exemplary embodiments of the present invention described in the "Exemplary Method" section above in this specification.

The program product for implementing the above method can be in the form of a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus or device.

The program product may take the form of any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.

A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave carrying readable program code therein. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A readable signal medium may also be any readable medium other than a readable storage medium that can send, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any suitable medium, including but not limited to wireless, wireline, optical cable, RF, etc., or any suitable combination of the foregoing.

Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., as well as conventional procedural Programming language—such as "C" or a similar programming language. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server execute on. In situations involving remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device, such as provided by an Internet service. (business comes via Internet connection).

Furthermore, the above-mentioned drawings are only schematic illustrations of processes included in methods according to exemplary embodiments of the present invention, and are not intended to be limiting. It is readily understood that the processes shown in the above figures do not indicate or limit the temporal sequence of these processes. In addition, it is also easy to understand that these processes may be executed synchronously or asynchronously in multiple modules, for example.

To sum up, this application provides a detection method, detection system, electronic equipment, and storage medium for a functional safety system. The detection method includes the following steps: sending preset detection parameters to the hardware testing device through the software platform, wherein The hardware testing device is connected to the software platform through a communication network; the hardware testing device receives the detection parameters and sends them to the functional safety system, where the functional modules in the functional safety system are in contact with the hardware testing The device is electrically connected; a part of the diagnostic data generated by the functional safety system based on the detection parameters is fed back to the software platform by the hardware testing device, and the other part of the diagnostic data is fed back to the software platform by the functional safety system. The software platform; the software platform analyzes the diagnostic data, generates a test report of the functional safety system based on the analysis results, and further follows up on the test report to provide suggestions. The following effects can be achieved:

1. Improve the diagnostic coverage of functional safety system component faults, improve the safety of functional safety system operation, and reduce the probability of functional safety system shutdown.

2. Different fault models can be designed specifically to carry out comprehensive health status assessment, failure diagnosis and fault prediction at the module level, function level and device level for functional safety systems.

3. It can further reduce the occurrence of erroneous diagnosis results caused by self-diagnostic function failures of the functional safety system.

4. Health diagnosis information analysis can be used to locate faults, analyze root causes, and propose targeted design improvements.

5. Health diagnosis information can be used to provide early warning and assessment of functional safety system components in sub-health status, perform preventive maintenance in advance, and extend the smooth operation time of the system.

Other embodiments of the invention will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary technical means in the technical field that are not disclosed in the invention. . It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It is to be understood that the present invention is not limited to the precise construction described above and illustrated in the accompanying drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Industrial applicability

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Claims

A detection method for a functional safety system, characterized in that the detection method includes the following steps:

Send the preset detection parameters to the hardware testing device through the software platform, where the hardware testing device is connected to the software platform through a communication network;

The hardware testing device receives the detection parameters and sends them to the functional safety system, wherein the functional modules in the functional safety system are electrically connected to the hardware testing device;

A part of the diagnostic data generated by the functional safety system based on the detection parameters is fed back to the software platform by the hardware testing device, and the other part of the diagnostic data is fed back to the software platform by the functional safety system;

The software platform analyzes the diagnostic data, generates a detection report of the functional safety system based on the analysis results, and further provides suggestions based on the detection report.
The detection method according to claim 1, characterized in that, before sending the preset detection parameters to the hardware testing device through the software platform, it includes:

Develop a test plan according to the test requirements, and write a test case set based on the characteristics of the test object. The test cases include input setting values and output setting values as the detection parameters;

The software management platform associates the input setting values and output setting values in the test case set; the detection method includes:

Send the input setting values of the test cases to the hardware test device through the software platform;

The hardware testing device receives the input setting value and converts it into a corresponding test instruction and sends it to the functional safety system;

The functional safety system generates actual output values based on the input test instructions, performs data integration processing based on the test information of the input set value, output set value and actual output value, and passes the hardware test device and all The functional safety system feeds the integrated data back to the software platform;

The software platform performs data validity and correctness diagnosis, historical data recording and data trend analysis based on the received data, further analyzes the functional integrity of the functional safety system and uses the results of the analysis as the detection report .
The detection method according to claim 1, characterized in that the detection parameters include parameters related to at least one of the following characteristics: signal accuracy, response time, degradation, voting and parking.
The detection method according to claim 1, characterized in that the detection report includes that the functional safety system is in a healthy, sub-healthy or fault state.
The detection method according to claim 3, characterized in that when the detection parameters include characteristics of response time, the detection method includes:

Send start-up test instructions to the hardware test device through the software platform, and simultaneously issue loop detection parameters. The detection parameters include input interlocking thresholds, interlocking modes, and output interlocking thresholds;

When the hardware testing device receives the start test instruction, the input interlocking threshold is sent to the AI module corresponding to the response time of the functional safety system;

The hardware testing device starts a timer and obtains a part of the diagnostic data fed back by the AI module in real time; when the diagnostic data reaches the output interlocking threshold, the timer value is recorded and the time recorded by the timer is used as a response time and sent to the software platform, and another part of the diagnostic data is sent to the software platform by the functional safety system;

The software platform obtains the response time data and the diagnostic data and performs data analysis to obtain the analysis results.
The detection method according to claim 5, characterized in that the data analysis process includes: screening abnormal results and counting the maximum value, minimum value and average value.
The detection method according to claim 6, characterized in that the detection method further includes: displaying the response time value through an interface.
A detection system, characterized by the detection system software platform, hardware testing device and network module, wherein:

Send preset detection parameters to the hardware testing device through the software platform, wherein the hardware testing device is connected to the software platform through the communication network of the network module;

The hardware testing device receives the detection parameters and sends them to the functional safety system, wherein the functional modules in the functional safety system are electrically connected to the hardware testing device;

A part of the diagnostic data generated by the functional safety system based on the detection parameters is fed back to the software platform by the hardware testing device, and the other part of the diagnostic data is fed back to the software platform by the functional safety system;

The software platform analyzes the diagnostic data, generates a detection report of the functional safety system based on the analysis results, and further provides suggestions based on the detection report.
An electronic device, characterized in that the electronic device includes a processor and a memory, and the memory stores a computer program for the processor to execute the method in any one of claims 1-7.
A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for a processor to execute the method described in any one of claims 1-7.