CN114860518A - Detection method and system of function safety system, electronic equipment and storage medium - Google Patents
Detection method and system of function safety system, electronic equipment and storage medium Download PDFInfo
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- CN114860518A CN114860518A CN202210341512.9A CN202210341512A CN114860518A CN 114860518 A CN114860518 A CN 114860518A CN 202210341512 A CN202210341512 A CN 202210341512A CN 114860518 A CN114860518 A CN 114860518A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2294—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing by remote test
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2205—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
- G06F11/2236—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested to test CPU or processors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2247—Verification or detection of system hardware configuration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2273—Test methods
Abstract
The invention provides a detection method, a detection system, electronic equipment and a storage medium of a functional safety system, wherein the detection method comprises the following steps: sending preset detection parameters to a hardware testing device through a software platform, wherein the hardware testing device is connected with the software platform through a communication network; the hardware testing device receives the detection parameters and then sends the detection parameters to the function safety system, wherein a function module in the function safety system is electrically connected with the hardware testing device; a part of 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 another part of the diagnostic data is fed back to the software platform by the functional safety system; and the software platform analyzes the diagnosis data, generates a detection report of the functional safety system according to the analysis result, and further provides suggestions along with the detection report. Therefore, the potential failure risk in the functional safety system can be effectively eliminated, and the safety integrity capability of the system is improved.
Description
Technical Field
The present invention relates to the field of device detection technologies, and in particular, to a detection method and a detection system for a functional security system, an electronic device, and a storage medium.
Background
The functional safety system is used for responding and protecting potential dangers or improper measures of the production devices and equipment in time, so that the production devices and equipment enter a predefined safe stop working condition (such as a cut-off switch), the risks are reduced to an acceptable degree, and the safety of the production devices, the equipment and the surrounding environment is guaranteed.
In the field of industrial automation, in order to improve the safety integrity of a functional safety system, key elements (or subsystems) in the system are generally checked for the health state and fault condition of the key elements (or subsystems) in a card self-diagnosis mode. The functional safety system usually runs in a relatively complex industrial environment for a long time, faults are inevitably generated although the probability is low in the long-term running process, most of the faults are discovered by a diagnosis mechanism of the system, but the faults are not comprehensive, and the condition that the diagnostic result is wrong due to self-diagnosis functional faults of the functional safety system cannot be eliminated, so that in the prior art, the functional safety system cannot comprehensively detect the health states and fault conditions of all key elements (or subsystems), and the reliability of the self-diagnosis result is low.
Functional safety systems fail to achieve 100% detection of faults, thus resulting in an undetected functional failure in the system. Under the condition that the field equipment normally operates for a long time, risks caused by the failures are accumulated continuously along with the time, and finally the safety integrity capability of the system is reduced; meanwhile, when the field requires action, the functional safety system cannot execute parking protection logic, so that the safety of assets, environment and personnel is damaged.
Disclosure of Invention
The invention mainly solves the technical problem of providing a detection method, a detection system, electronic equipment and a storage medium of a functional safety system, which can effectively eliminate the potential failure risk in the functional safety system and improve the safety integrity capability of the system.
In order to solve the technical problems, the invention adopts a technical scheme that: there is provided a detection method of a functional security system, the detection method comprising the steps of:
sending preset detection parameters to the hardware testing device through a software platform, wherein the hardware testing device is connected with the software platform through a communication network;
the hardware testing device receives the detection parameters and then sends the detection parameters to the function safety system, wherein a function module in the function safety system is electrically connected with the hardware testing device;
a part of diagnostic data generated by the functional safety system based on the detection parameter is fed back to the software platform by the hardware testing device, and another part of the diagnostic data is fed back to the software platform by the functional safety system;
the software platform analyzes the diagnosis data, generates a detection report of the functional safety system according to the analysis result, and further provides suggestions according to the detection report.
Before sending preset detection parameters to the hardware testing device through a software platform, the method comprises the following steps:
a part of 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, another part of the diagnostic data is fed back to the software platform by the functional safety system, and a test case comprises an input set value and an output set value;
the software management platform associates an input set value and an output set value in a test case set;
the detection method comprises the following steps:
sending an input set value of a test case to the hardware testing device through a software platform;
the hardware testing device receives the input set value, converts the input set value into a corresponding testing instruction and sends the corresponding testing instruction to the functional safety system;
the functional safety system generates an actual output value based on the input test instruction, performs data integration processing according to test information of an input set value, an output set value and the actual output value, and feeds back data obtained by integration to the software platform through the hardware test device and the functional safety system;
and the software platform performs diagnosis of data validity and correctness, historical data recording and data trend analysis on the basis of the received data, further analyzes the functional integrity of the functional safety system, and takes the analysis result as the detection report.
Wherein 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 that the functional safety system is in a healthy, sub-healthy, or faulty state.
When the detection parameter comprises the response time characteristic, the detection method comprises the following steps:
sending a starting test instruction to the hardware testing device through the software platform, and simultaneously issuing loop detection parameters, wherein the detection parameters comprise an input interlocking threshold value, an interlocking mode and an output interlocking threshold value;
after the hardware testing device receives a test starting instruction, the input interlocking threshold value is sent to an AI module of a functional safety system, wherein the AI module corresponds to the response time;
the hardware testing device starts a timer and acquires a part of the diagnostic data fed back by the AI module in real time; when the diagnostic data reaches an output interlocking threshold value, recording a timer value, taking the time recorded by the timer as response time and sending the response time to the software platform, wherein the other part of the diagnostic data is sent to the software platform by the functional safety system;
and the software platform acquires the response time data and the diagnosis data and performs data analysis to obtain the analysis result.
Wherein the data analysis process comprises: and screening abnormal results, and counting the maximum value, the minimum value and the average value.
Wherein, the detection method further comprises the following steps: and displaying the response time value through an interface.
In order to solve the technical problems, the invention also adopts a technical scheme that: providing a detection system comprising a software platform, a hardware testing device and a network module, wherein:
sending preset detection parameters to the hardware testing device through the software platform, wherein the hardware testing device is connected with the software platform through a communication network of a network module;
the hardware testing device receives the detection parameters and then sends the detection parameters to the function safety system, wherein a function module in the function safety system is electrically connected with the hardware testing device;
a part of diagnostic data generated by the functional safety system based on the detection parameter is fed back to the software platform by the hardware testing device, and another part of the diagnostic data is fed back to the software platform by the functional safety system;
the software platform analyzes the diagnosis data, generates a detection report of the functional safety system according to the analysis result, and further provides suggestions according to the detection report.
In order to solve the technical problem, the invention adopts another technical scheme that: there is provided an electronic device comprising a processor and a memory, said memory storing a computer program for said processor to perform the method as described in the preceding.
In order to solve the technical problem, the invention adopts another technical scheme that: a computer-readable storage medium is provided, which stores a computer program for a processor to perform the method as described in the foregoing.
The invention has the beneficial effects that: different from the prior art, the detection method, the detection system, the electronic device and the storage medium of the functional safety system are provided, and the detection method comprises the following steps: sending preset detection parameters to the hardware testing device through a software platform, wherein the hardware testing device is connected with the software platform through a communication network; the hardware testing device receives the detection parameters and then sends the detection parameters to the function safety system, wherein a function module in the function safety system is electrically connected with the hardware testing device; a part of diagnostic data generated by the functional safety system based on the detection parameter is fed back to the software platform by the hardware testing device, and another part of the diagnostic data is fed back to the software platform by the functional safety system; and the software platform analyzes the diagnostic data, generates a detection report of the functional safety system according to the analysis result, and further provides suggestions along with the detection report. Therefore, the potential failure risk in the functional safety system can be effectively eliminated, and the safety integrity capability of the system is improved.
Drawings
Fig. 1 is a flowchart of a detection method of a functional security system according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for detecting a functional security system according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for detecting a functional security system according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a detection system according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different 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 concept of 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 invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive 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 the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices. It should be noted that, the examples, the embodiments and the technical features of the present invention may be combined with each other without conflict, and the order of the steps in the present invention is only for example, and the specific order is not limited to the order without conflict.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a detection method of a functional security system according to an embodiment of the present disclosure. As shown in fig. 1, the detection method of the present embodiment includes:
step S1: and sending preset detection parameters to the hardware testing device through the software platform, wherein the hardware testing device is connected with the software platform through a communication network.
Step S2: the hardware testing device receives the detection parameters and sends the detection parameters to the functional safety system, wherein functional modules (such as elements) in the functional safety system are electrically connected with the hardware testing device.
Step S3: a part of diagnostic data generated by the functional safety system based on the detection parameter is fed back to the software platform by the hardware testing device, and another part of the diagnostic data is fed back to the software platform by the functional safety system.
Step S4: the software platform analyzes the diagnosis data, generates a detection report of the functional safety system according to the analysis result, and further provides suggestions according to the detection report.
Before step S1, a test plan is formulated according to the test requirements, and a test case set is compiled in combination with the characteristics of the test object, where the test case includes an input set value and an output set value as the detection parameters. Further, the software management platform associates the input set value and the output set value in the test case set. More specifically, the test case includes input variables and output variables of each type. An input set value and an output set value are set for each type of input variable and output variable. Further, a preset number of input set values and output set values may be grouped into at least one group of test cases. The input set values and the output set values in the preset range can be grouped to form the same group of test cases.
The detection parameters include parameters related to at least one of the following characteristics: signal accuracy, response time, degradation, voting, and parking. It should be understood that the input settings and the output settings of the test cases described above may be set according to the characteristics.
Referring to fig. 2, the detection method according to an embodiment of the present application includes the following steps:
step S10: and sending the input set value of the test case to the hardware testing device through the software platform.
Step S20: and the hardware testing device receives the input set value, converts the input set value into a corresponding testing instruction and sends the corresponding testing instruction to the functional safety system.
Step S30: the functional safety system generates an actual output value based on the input test instruction, performs data integration processing according to test information of an input set value, an output set value and the actual output value, and feeds back data obtained by integration to the software platform through the hardware test device and the functional safety system.
Step S40: and the software platform performs diagnosis of data validity and correctness, historical data recording and data trend analysis on the basis of the received data, further analyzes the functional integrity of the functional safety system, and takes the analysis result as the detection report.
Wherein the detection report includes that the functional safety system is in a healthy, sub-healthy, or faulty state. Health represents the functional safety system operating properly. Sub-health represents that a single or multiple components in a functional safety system are at the critical point of failure or have failed and recovered. A failure represents a failure of a single or multiple components of the functional safety system.
In one embodiment, the hardware testing device simulates normal field signal input or output, the software platform reads the diagnostic data generated in the operation process of the functional safety system, and the health state of the functional safety system is judged through analysis and evaluation of the diagnostic data. If the diagnostic data is analyzed to be that the functional safety system normally operates, judging that the functional safety system is healthy; if the diagnostic data is analyzed to be that the functional safety system is at a fault critical point or has failed once and is recovered, judging that the functional safety system is sub-healthy; and if the health diagnosis data is analyzed to be that the functional safety system is in a certain fault state, judging that the functional safety system is in fault.
Further, tests aimed at verifying the functional integrity of the self-diagnostics may also be carried out on functional safety systems in operation. Specifically, the hardware testing device can simulate abnormal field signal input or output, and the software platform can read the diagnostic data generated in the running process of the functional safety system. If the health diagnosis information can give an alarm for the abnormal field signal, judging that the self-diagnosis circuit of the functional safety system is normal; and if the health diagnosis information cannot detect and alarm abnormal field signals or report unexpected diagnosis results, judging that the self-diagnosis circuit of the functional safety system has faults.
In one embodiment, the software platform issues control commands to enable the functional safety system to actively enter specific fault states including, but not limited to, degradation, abnormal reset, and communication loss. If the functional safety system can respond to the fault according to the expected behavior mode and guide to the safety state in time, the system is judged to be healthy, otherwise, the system is judged to be faulty. Similarly, the judgment principle is the same if the issued control command is in a normal state.
Further, health diagnosis data of the functional safety system elements before and after fault injection are read and analyzed through a software platform to form a health diagnosis detection report of each element, wherein the content of the detection report comprises but is not limited to health state assessment, fault prediction, fault analysis positioning and a fault elimination solution.
Referring to fig. 3, when the detection parameter includes the characteristic of the response time, the detection method of the embodiment includes the following steps:
step S311: and sending a starting test instruction to the hardware testing device through the software platform, and simultaneously issuing loop detection parameters, wherein the detection parameters comprise an input interlocking threshold value, an interlocking mode and an output interlocking threshold value.
An input meter and an output device which bypass the tested logic loop are also included before the step S311.
Step S312: and after the hardware testing device receives a test starting instruction, sending the input interlocking threshold value to an AI module of the functional safety system corresponding to the response time.
Step S313: the hardware testing device starts a timer and acquires a part of the diagnostic data fed back by the AI module in real time; and recording a timer value after the diagnostic data reaches an output interlocking threshold value, taking the time recorded by the timer as a response time and sending the response time to the software platform, wherein the other part of the diagnostic data is sent to the software platform by the functional safety system. Further, the response time values may be displayed through an interface, and about 100 groups of response time values may be specifically displayed.
Step S314: and the software platform acquires the response time data and the diagnosis data and performs data analysis to obtain the analysis result.
The data analysis process of step S314 includes: and screening abnormal results, and counting the maximum value, the minimum value and the average value.
The present application also provides a detection system to perform the detection method described above. Referring to fig. 4, fig. 4 is a schematic structural diagram of a detection system according to an embodiment of the present disclosure. As shown in fig. 4, the detection system 20 of the present embodiment includes a detection system software platform 21, a hardware testing device 22, and a network module 23, wherein:
sending preset detection parameters to the hardware testing device 22 through the software platform 21, wherein the hardware testing device 22 is connected with the software platform through a communication network of a network module 23;
the hardware testing device 22 receives the detection parameters and then sends the detection parameters to the functional safety system, wherein functional modules in the functional safety system are electrically connected with the hardware testing device.
A part of diagnostic data generated by the functional safety system based on the detection parameter is fed back to the software platform by the hardware testing device, and another part of the diagnostic data is fed back to the software platform by the functional safety system.
And the software platform analyzes the diagnostic data, generates a detection report of the functional safety system according to the analysis result, and further provides suggestions along with the detection report.
In this embodiment, the hardware testing device 22, the software platform 21, and the object to be tested (function safety system) are deployed in the same safety network, and data transmission is secured by a safety self-owned protocol, and has the protection capabilities of disguising prevention, tampering prevention, and insertion prevention for data. The test system and the tested object communicate through own protocol, the protocol has specificity and safety, and what goes in the network is not public bus protocol, such as CAN, but only the safety communication protocol mutually recognized among the tested object, the hardware test device 22 and the software platform 21. Therefore, the control instruction and the data cannot be analyzed by a third party in the test process, and if a third-party device is hung on the network, the detection system cannot be attacked or maliciously tampered by the data.
The software platform 21 may be deployed on a computer, and includes five functional components: the system comprises an information management component, a function management component, a data analysis component, a report sorting component and a network management component. Referring to fig. 4, the five-functional module is a sub-module to implement the corresponding functions, such as:
1. and (3) engineering management components: and managing the information of the whole inspection and test project, wherein the information comprises project information, device information, workshop section information, personnel information and the like.
2. The control station management component: information for managing the functional safety system, including control room information, operator station information, functional safety system information, and the like;
3. a flow management component: managing and checking the execution sequence of each work and the mutual restriction relation among the test flows;
4. and a service data interaction component: managing interactive data of the integrated inspection and test device and the functional safety system, wherein the interactive data comprises issuing of instructions and uploading of test flow data;
5. the information collection management component: the data of each test flow is subjected to informatization management, a large amount of data is subjected to fine grading, the data quality is improved, and meanwhile, the import and export of various types of files are supported;
6. an interface interaction component: managing a UI (user interface) and mainly displaying information such as process progress, system state, real-time data, operation prompts and the like;
7. a data analysis component: based on the multi-dimensional and hierarchical system information characteristics, the state of the functional safety system is automatically analyzed and evaluated, the history and the current operation condition of the device are evaluated, and the future health condition is predicted;
8. a report management component: managing reports of each stage in the whole test period, visually displaying the reports, and supporting import and export;
9. an information security component: the information security of the management device comprises operation authority management, access authority management and the like;
10. the communication driving component: managing communications with functional safety systems, inspection and test equipment, and other engineer stations;
the software platform 21 is compatible with the hardware testing device 22 and the object to be tested (function safety system), supports the addition of secondary subassemblies, and has expandability.
Therefore, the embodiment is managed by the function management component, is related to the secondary sub-component process management component, the service data interaction component and the data analysis component, and performs the tests of the functions such as signal precision, response time, degradation, alarm indication, network communication load, parking logic and the like.
The hardware testing device 22 includes various types of signal input and output, such as analog signal type, digital signal type, etc. The hardware testing device 22 receives the control instruction issued by the software platform 21 to execute the relevant function, and transmits the diagnostic data of the functional safety system to the software platform 21 in real time. The hardware testing device 22 and the object under test (functional safety system) transmit and feed back the test signal by hard wiring. Specifically, as shown in fig. 4, the hardware testing device 22 is used to output input/output signals (which are issued by the software platform 21) of the analog field device, and the signals are connected to the tested object (function safety system X/Y) through hard wiring. The module PAI, the module PDI, the module PDO and the like on the hardware testing device can simulate analog quantity and digital quantity input and output signals on the site.
The functional safety system of the object to be tested receives the test signal, processes, diagnoses and executes the logic program, and then 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 testing device 22 and the tested object controller through the communication network, and the data analysis component analyzes and collates the collected data.
For example, when the detection parameter includes the characteristic of the response time as described above, the detection system of the embodiment performs detection in the following manner:
first, the input meter and output device of the logic loop under test are bypassed.
Further, the PAI module/signal probe of the hardware testing device 22 is accessed to the AI module/module signal point input side corresponding to the functional safety system through hard wiring; and the output side of the DO module/DO module signal point is connected into the PDO module/signal probe through hard wiring.
Further, the software platform 21 sends a test starting instruction to the PAI module and the PDO module of the hardware testing apparatus 22, and issues loop detection parameters at the same time, where the detection parameters include an input interlock threshold, an interlock mode, and an output interlock threshold.
Further, after the PAI module of the hardware testing apparatus 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. Starting a timer after the PDO module receives a test starting instruction, and acquiring an output signal of the DO module in real time; and recording a timer value after the output data reaches an output interlocking threshold value, and taking the time recorded by the timer as response time. Further, the response time values may be displayed through an interface, and specifically, about 100 groups of response time values may be displayed.
Further, the software platform 21 obtains the response time data and performs data analysis to obtain the analysis result. The data analysis process comprises the following steps: and screening abnormal results, and counting the maximum value, the minimum value and the average value.
And recovering the bypass state of the field device after the detection is finished.
The system is based on an independent integrated detection system, is independent of a detected object (a functional safety system), operates independently without mutual interference, and has high system independence.
It should be noted that the detection process of the present application belongs to an off-line test, and the detection process is not affected and is independent of the function execution of the object to be tested itself. The off-line test refers to the period of time when the detection system is in the bypass inspection state or in the field shutdown maintenance state, and the functional safety system is in the off-line state relative to the production process flow. The detection system can completely simulate the input-control-output loop control logic and test the functions of the input-control-output loop control logic without worrying about the influence of the input-output state change of the functional safety system on the original production process flow in the test process. Compared with an online test, the offline test has the characteristics of strong operability and safety.
The detection process of the method belongs to closed loop, and the detection system can guide the intervention and improvement of engineering technicians after generating the detection report until system faults and defects are solved. Specifically, the software platform 21 of the present application includes a data analysis component, and analyzes and integrates diagnostic data and related alarm information fed back from the functional safety system in the detection process, and automatically generates a detection report. The detection report comprises diagnostic data integration, the state evaluation of the detected object, risk prediction, follow-up maintenance suggestions and the like, and technicians can perform directional maintenance according to the detection report result, so that the rectification efficiency is improved. Meanwhile, a detection report sorting component is integrated in the software platform 21, and management records are performed on operations, management processes, data and the like in the maintenance process. The software platform 21 runs through the planning, executing, recording, evaluating, feeding back, rectifying and recording links of detection, and emphasizes the detection process sequence, so that the software platform is a tool platform for the full life cycle management of detection.
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 bring any limitations to the functionality and scope of use of the embodiments of the present invention. The electronic device 800 may be a master device or a slave device as described above.
As shown in fig. 5, the electronic device 800 is in the form of a general purpose computing device. The components of the electronic device 800 may include, but are not limited to: the at least one processing unit 810, the at least one memory unit 820, a bus 830 connecting different system components (including the memory unit 820 and the processing unit 810), and a display unit 840.
Wherein the storage unit stores program code that is executable by the processing unit 810 to cause the processing unit 810 to perform steps according to various exemplary embodiments of the present invention as described in the "exemplary methods" section above in this specification. For example, the processing unit 810 may execute the steps S1 in fig. 1: and sending preset detection parameters to the hardware testing device through the software platform, wherein the hardware testing device is connected with the software platform through a communication network. Step S2: and the hardware testing device receives the detection parameters and then sends the detection parameters to the functional safety system, wherein a functional module in the functional safety system is electrically connected with the hardware testing device. Step S3: and receiving diagnostic data generated by the functional safety system based on the detection parameters through the hardware testing device, and further feeding the diagnostic data back to the software platform. Step S4: and the software platform analyzes the diagnostic data, generates a detection report of the functional safety system according to an analysis result, and further provides suggestions according to the detection report.
The storage unit 820 may include readable media in the form of volatile storage units, 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.
The electronic device 800 may also communicate with one or more external devices 870 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 800, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 800 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 850. Also, the electronic device 800 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 860. As shown, the network adapter 860 communicates with the other modules of the electronic device 800 via the bus 830. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the 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 systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination 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, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) execute the method according to the embodiment of the present invention.
In an exemplary embodiment of the present invention, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary method" of this description, when said program product is run on the terminal device.
The program product for implementing the above method may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a 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 appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. 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. In the case of a remote computing device, 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 (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
In summary, the present application provides a detection method, a detection system, an electronic device, and a storage medium for a functional security system, where the detection method includes the following steps: sending preset detection parameters to the hardware testing device through a software platform, wherein the hardware testing device is connected with the software platform through a communication network; the hardware testing device receives the detection parameters and then sends the detection parameters to the function safety system, wherein a function module in the function safety system is electrically connected with the hardware testing device; a part of diagnostic data generated by the functional safety system based on the detection parameter is fed back to the software platform by the hardware testing device, and another part of the diagnostic data is fed back to the software platform by the functional safety system; and the software platform analyzes the diagnostic data, generates a detection report of the functional safety system according to the analysis result, and further provides suggestions along with the detection report. The following effects can be achieved:
1. the method improves the diagnosis coverage rate of the element fault of the functional safety system, improves the operation safety of the functional safety system, and reduces the probability of stopping the functional safety system.
2. Different fault models can be designed in a targeted manner, and module-level, function-level and device-level comprehensive health state assessment, failure diagnosis and fault prediction can be carried out on the functional safety system.
3. The situation that the diagnostic result is wrong due to the fact that the functional safety system is self-diagnosed for the functional fault can be further reduced.
4. The fault can be positioned, the root cause can be analyzed and the design improvement can be purposefully proposed through the analysis of the health diagnosis information.
5. The functional safety system elements in the sub-health state can be pre-warned and evaluated through the health diagnosis information, preventive maintenance is carried out in advance, and the stable operation time of the system is prolonged.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. 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 will be understood that the invention is not limited to the precise arrangements described above and shown in the 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.
Claims (10)
1. A method of detecting a functional security system, the method comprising the steps of:
sending preset detection parameters to a hardware testing device through a software platform, wherein the hardware testing device is connected with the software platform through a communication network;
the hardware testing device receives the detection parameters and then sends the detection parameters to the function safety system, wherein a function module in the function safety system is electrically connected with the hardware testing device;
a part of diagnostic data generated by the functional safety system based on the detection parameter is fed back to the software platform by the hardware testing device, and another part of the diagnostic data is fed back to the software platform by the functional safety system;
the software platform analyzes the diagnosis data, generates a detection report of the functional safety system according to the analysis result, and further provides suggestions according to the detection report.
2. The detection method according to claim 1, before sending the preset detection parameters to the hardware testing device through the software platform, comprising:
formulating a test scheme according to the test requirement, and compiling a test case set by combining the characteristics of the test object, wherein the test case comprises an input set value and an output set value which are used as the detection parameters;
the software management platform associates an input set value and an output set value in a test case set;
the detection method comprises the following steps:
sending an input set value of a test case to the hardware testing device through a software platform;
the hardware testing device receives the input set value, converts the input set value into a corresponding testing instruction and sends the corresponding testing instruction to the functional safety system;
the functional safety system generates an actual output value based on the input test instruction, performs data integration processing according to test information of an input set value, an output set value and the actual output value, and feeds back data obtained by integration to the software platform through the hardware test device and the functional safety system;
and the software platform performs diagnosis of data validity and correctness, historical data recording and data trend analysis on the basis of the received data, further analyzes the functional integrity of the functional safety system and takes the analysis result as the detection report.
3. The method of claim 1, wherein the detection parameters include parameters related to at least one of the following characteristics: signal accuracy, response time, degradation, voting, and parking.
4. The detection method of claim 1, wherein the detection report includes that the functional safety system is in a healthy, sub-healthy, or faulty state.
5. The detection method according to claim 3, wherein when the detection parameter includes a characteristic of a response time, the detection method includes:
sending a starting test instruction to the hardware testing device through the software platform, and simultaneously issuing loop detection parameters, wherein the detection parameters comprise an input interlocking threshold value, an interlocking mode and an output interlocking threshold value;
after the hardware testing device receives a test starting instruction, the input interlocking threshold value is sent to an AI module of a functional safety system, wherein the AI module corresponds to the response time;
the hardware testing device starts a timer and acquires a part of the diagnostic data fed back by the AI module in real time; when the diagnostic data reaches an output interlocking threshold value, recording a timer value, taking the time recorded by the timer as response time and sending the response time to the software platform, wherein the other part of the diagnostic data is sent to the software platform by the functional safety system;
and the software platform acquires the response time data and the diagnosis data and performs data analysis to obtain the analysis result.
6. The detection method according to claim 5, wherein the data analysis process comprises: and screening abnormal results, and counting the maximum value, the minimum value and the average value.
7. The detection method according to claim 6, characterized in that the detection method further comprises: and displaying the response time value through an interface.
8. A detection system, characterized by a detection system software platform, a hardware testing device and a network module, wherein:
sending preset detection parameters to the hardware testing device through the software platform, wherein the hardware testing device is connected with the software platform through a communication network of a network module;
the hardware testing device receives the detection parameters and then sends the detection parameters to a functional safety system, wherein a functional module in the functional safety system is electrically connected with the hardware testing device;
a part of diagnostic data generated by the functional safety system based on the detection parameter is fed back to the software platform by the hardware testing device, and another part of the diagnostic data is fed back to the software platform by the functional safety system;
the software platform analyzes the diagnosis data, generates a detection report of the functional safety system according to the analysis result, and further provides suggestions according to the detection report.
9. An electronic device, characterized in that the electronic device comprises a processor and a memory, the memory storing a computer program for the processor to perform the method of any of the claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for a processor to perform the method of any of the claims 1-7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210341512.9A CN114860518A (en) | 2022-04-02 | 2022-04-02 | Detection method and system of function safety system, electronic equipment and storage medium |
| PCT/CN2022/136233 WO2023185061A1 (en) | 2022-04-02 | 2022-12-02 | Function security system detection method and system, electronic device, and storage medium |
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| CN202210341512.9A CN114860518A (en) | 2022-04-02 | 2022-04-02 | Detection method and system of function safety system, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115361320A (en) * | 2022-08-15 | 2022-11-18 | 武汉思普崚技术有限公司 | Test method and test system for automatically testing throughput performance of bypass equipment |
| WO2023185061A1 (en) * | 2022-04-02 | 2023-10-05 | 浙江中控技术股份有限公司 | Function security system detection method and system, electronic device, and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP5299651B2 (en) * | 2009-05-20 | 2013-09-25 | 日本電気株式会社 | Semiconductor integrated circuit, circuit test system, circuit test unit, and circuit test method |
| WO2017119089A1 (en) * | 2016-01-07 | 2017-07-13 | 三菱電機株式会社 | Sensor apparatus, data transmission processing device, and data transmission processing method |
| US11686767B2 (en) * | 2017-11-02 | 2023-06-27 | Intel Corporation | System, apparatus and method for functional testing of one or more fabrics of a processor |
| US10678623B2 (en) * | 2017-11-20 | 2020-06-09 | Intel Corporation | Error reporting and handling using a common error handler |
| EP3887101A1 (en) * | 2019-02-27 | 2021-10-06 | Veo Robotics, Inc. | System architecture for safety applications |
| US11360870B2 (en) * | 2020-03-26 | 2022-06-14 | Intel Corporation | Functional safety compliant self-testing |
| CN114860518A (en) * | 2022-04-02 | 2022-08-05 | 浙江中控技术股份有限公司 | Detection method and system of function safety system, electronic equipment and storage medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023185061A1 (en) * | 2022-04-02 | 2023-10-05 | 浙江中控技术股份有限公司 | Function security system detection method and system, electronic device, and storage medium |
| CN115361320A (en) * | 2022-08-15 | 2022-11-18 | 武汉思普崚技术有限公司 | Test method and test system for automatically testing throughput performance of bypass equipment |
| CN115361320B (en) * | 2022-08-15 | 2023-11-17 | 武汉思普崚技术有限公司 | Test method and test system for automatically testing throughput performance of bypass equipment |
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| WO2023185061A1 (en) | 2023-10-05 |
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