Cloud-based cross-domain EEA simulation test data instant feedback system and method

Abstract

The invention discloses a cloud-based cross-domain EEA simulation test data instant feedback system and method, and relates to the technical field of commercial vehicle and truck testing. The cloud-based cross-domain EEA simulation test data instant feedback system comprises a data acquisition unit which is configured on a plurality of electronic control units (ECUs) and is used for acquiring data output by each ECU of a vehicle and sensor feedback in real time; the data preprocessing unit is electrically connected with the data acquisition unit and is used for cleaning, formatting, compressing and encrypting the acquired data; and the data transmission unit is electrically connected with the data preprocessing unit and is used for transmitting the preprocessed data to a cloud server in real time through a high-speed network. According to the invention, the problem that the modification cost is increased and the product marketing time is delayed due to the fact that a traditional simulation platform is often limited in the aspect of cross-domain integration testing and is insufficient to simulate and test interaction between complex vehicle control systems, which may cause that problems are found in a real vehicle testing stage is solved.

Description

Technical Field

[0001] The present invention relates to the field of commercial vehicle truck testing technology, and in particular to a cloud-based cross-domain EEA simulation test data instant feedback system and method. Background Art

[0002] As the global automotive industry rapidly develops towards electrification and intelligence, the vehicle's electrical and electronic architecture (EEA) has gradually become more complex. This complexity comes not only from the high integration between multiple electronic control units (ECUs) within the vehicle, but also from real-time interaction with electric vehicle drive systems, advanced driver assistance systems (ADAS) and other intelligent transportation systems. With this comes an increased demand for cross-domain fusion technology, among which the function of the cross-domain controller is crucial. It coordinates and manages information and operations from different systems in the vehicle, and its performance directly affects the performance and safety of the entire vehicle.

[0003] In the current market, although there are a variety of simulation test platforms, they are generally unable to fully meet the needs of effectively simulating highly integrated EEA systems. Traditional simulation platforms often have limitations in cross-domain integration testing and are insufficient to simulate and test the interactions between complex vehicle control systems, which may lead to problems being discovered during the actual vehicle testing phase, thereby increasing modification costs and delaying product time to market. There is currently no effective solution to the above problems. Summary of the invention

[0004] Purpose of the invention: To provide a cloud-based cross-domain EEA simulation test data instant feedback system and method to at least solve one of the problems existing in the above-mentioned prior art.

[0005] Technical solution: Cloud-based cross-domain EEA simulation test data instant feedback system, including:

[0006] The data acquisition unit is configured on multiple electronic control units (ECUs) and is used to collect data output by each ECU of the vehicle and sensor feedback in real time;

[0007] A data preprocessing unit, electrically connected to the data acquisition unit, for performing cleaning, formatting, compression and encryption processing on the acquired data;

[0008] A data transmission unit, electrically connected to the data preprocessing unit, for transmitting the preprocessed data to a cloud server in real time via a high-speed network;

[0009] A cloud data processing unit, electrically connected to the data transmission unit, and configured to receive and process data from the data transmission unit;

[0010] The instant feedback unit is electrically connected to the cloud data processing unit, and is used to receive the fault report of the fault detection module and provide a fault notification to the preset personnel in real time; wherein the fault notification includes: fault type, fault cause and recommended adjustment measures.

[0011] Preferably, it also includes: a remote fault reproduction and debugging unit, which is electrically connected to the instant feedback unit and is used for preset personnel to remotely start the fault reproduction process to simulate the environmental conditions and configuration when the fault occurs, and to verify the effectiveness of the cause of the fault and the solution, and to redeploy the adjusted parameters or configuration to the real vehicle or simulation system through the data feedback module.

[0012] Preferably, the data acquisition unit includes: a real-time component system for simulating the electrical characteristics of the vehicle in real time; wherein the electrical characteristics include: power supply, sensor, actuator and other ECU communication and control logic;

[0013] A multi-channel data interface is configured in the real-time component system and is used to simultaneously capture data from various ECUs, sensors and actuators.

[0014] Preferably, the data preprocessing unit comprises: a speed and temperature filtering module and a voltage normalization module.

[0015] Preferably, the cloud data processing unit comprises:

[0016] A data receiving module is used to receive and classify the transmitted data;

[0017] Data analytics module, which uses predefined algorithms and machine learning models to analyze data in real time to identify potential issues and trends;

[0018] The fault detection module is used to monitor any abnormal indicators or fault modes in real time and generate fault reports.

[0019] Preferably, the fault type is simulation data; wherein the simulation data includes: simulation of an open circuit fault on an ECU pin, simulation of a short circuit fault on a power supply, and simulation of a short circuit fault on a ground.

[0020] Preferably, the cloud data processing unit comprises: a fault injection and testing unit, and the fault injection and testing unit are electrically connected to the cloud data processing unit and the instant feedback unit respectively.

[0021] In order to achieve the above-mentioned purpose, according to another aspect of the present application, a cloud-based cross-domain EEA simulation test data instant feedback method is provided.

[0022] The cloud-based cross-domain EEA simulation test data instant feedback method according to the present application includes: being applied to the cloud-based cross-domain EEA simulation test data instant feedback system as described above; and also including the following steps:

[0023] Deploy data acquisition units in multiple electronic control units ECUs and their related sensors and actuators to collect output data and status information of each ECU and sensor in real time, and capture and forward these data through the data acquisition units;

[0024] Perform preliminary cleaning, formatting, compression and encryption on the captured data in the data acquisition unit;

[0025] The data transmission unit is used to transmit the pre-processed data to the cloud securely and in real time via a high-speed network;

[0026] Receive and store the transmitted data in the cloud data processing unit, use the data analysis module to conduct in-depth analysis of the data, monitor abnormal indicators or fault modes in real time through the fault detection module, and generate detailed fault reports;

[0027] According to the analysis results of the cloud fault detection module, the fault type, cause and recommended adjustment measures are provided to the preset personnel through the instant feedback unit, and the preset personnel are allowed to adjust the test parameters according to the feedback or directly repair it in the system, and update the test strategy and system configuration in real time.

[0028] Preferably, according to the analysis results of the cloud fault detection module, the fault type, cause and recommended adjustment measures are provided to the preset personnel through the instant feedback unit, and the preset personnel are allowed to adjust the test parameters according to the feedback or directly repair in the system. After the test strategy and system configuration are updated in real time, it also includes:

[0029] Start the remote fault reproduction and debugging unit, simulate the fault situation according to the cloud analysis results, allow the preset personnel to remotely diagnose and solve the fault, and use the data feedback unit to update the adjusted parameters or configurations back to the real vehicle or simulation system to ensure the real-time update of the system and the continuity of the test.

[0030] Preferably, the transmitted data is received and stored in the cloud data processing unit, the data is deeply analyzed using the data analysis module, the abnormal indicators or fault modes are monitored in real time through the fault detection module, and a detailed fault report is generated, including:

[0031] Use the FAU to simulate various fault scenarios that affect ECUs and related systems, test the simulated faults, record system responses, and upload fault data to the cloud for further analysis.

[0032] Compared with the related prior art, the present application proposal has the following main technical advantages, and the beneficial effects of the present invention are:

[0033] Highly integrated multi-domain testing capabilities: Compared with existing technologies, this application proposal can more effectively support integrated testing across multiple control domains. This includes not only traditional mechanical and electrical systems, but also extends to advanced driver assistance systems and other intelligent transportation systems. This integrated testing capability ensures seamless data flow and interaction from different systems, thereby more accurately simulating vehicle behavior under real-world conditions.

[0034] Enhanced hardware-in-the-loop (HIL / SIL) simulation capabilities: This platform enhances hardware-in-the-loop simulation technology to enable testing of complex interactive systems in the early stages of product development. Compared with existing technologies, potential problems can be identified and resolved earlier, reducing the cost and time of later corrections and improving the efficiency of the R&D process.

[0035] Data closed-loop iteration mechanism: This platform implements advanced data management and analysis technologies to achieve data closed-loop iteration. This means that test data is not only collected and analyzed, but the analysis results are directly fed back into product design and test strategies, which is not common in existing technologies. This mechanism greatly improves the application value of test data and speeds up product iteration. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is an architecture diagram of a cloud-based cross-domain EEA simulation test data instant feedback system of the present invention;

[0037] Figure 2 It is a flow chart of a cloud-based cross-domain EEA simulation test data instant feedback method of the present invention; and

[0038] Figure 3 It is a structural schematic diagram of an electronic device according to a cloud-based cross-domain EEA simulation test data instant feedback method according to an embodiment of the present application. DETAILED DESCRIPTION

[0039] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0040] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0041] In addition, the terms "installed", "set", "provided with", "connected", "connected", and "socketed" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be an internal connection between two devices, elements, or components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0042] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0043] According to an embodiment of the present invention, a cloud-based cross-domain EEA simulation test data instant feedback system is provided. Figure 1 As shown, the cloud-based cross-domain EEA simulation test data instant feedback system includes: a data acquisition unit, which is configured on multiple electronic control units ECU and is used to collect data output by each ECU of the vehicle and sensor feedback in real time;

[0044] A data preprocessing unit, electrically connected to the data acquisition unit, for performing cleaning, formatting, compression and encryption processing on the acquired data;

[0045] A data transmission unit, electrically connected to the data preprocessing unit, for transmitting the preprocessed data to a cloud server in real time via a high-speed network;

[0046] A cloud data processing unit, electrically connected to the data transmission unit, and configured to receive and process data from the data transmission unit;

[0047] The instant feedback unit is electrically connected to the cloud data processing unit, and is used to receive the fault report of the fault detection module and provide a fault notification to the preset personnel in real time; wherein the fault notification includes: fault type, fault cause and recommended adjustment measures.

[0048] It is important to know that EEA (Electronic and Electronic Architecture) simulation refers to the modeling and simulation of the electronic and electrical systems in vehicles or other complex systems to verify their performance, functionality and reliability. EEA simulation can help engineers discover potential problems during the development phase, optimize the design, and ensure the reliability of the system in actual operation.

[0049] Furthermore, it also includes: a remote fault reproduction and debugging unit, which is electrically connected to the instant feedback unit and is used for preset personnel to remotely start the fault reproduction process to simulate the environmental conditions and configuration when the fault occurs, and to verify the effectiveness of the cause of the fault and the solution, and to redeploy the adjusted parameters or configuration to the real vehicle or simulation system through the data feedback module.

[0050] Further, the data acquisition unit includes: a real-time component system for simulating the electrical characteristics of the vehicle in real time; wherein the electrical characteristics include: power supply, sensor, actuator and other ECU communication and control logic;

[0051] A multi-channel data interface is configured in the real-time component system and is used to simultaneously capture data from various ECUs, sensors and actuators.

[0052] Furthermore, the data preprocessing unit includes: a speed and temperature filtering module and a voltage normalization module.

[0053] Furthermore, the cloud data processing unit includes: a data receiving module for receiving and classifying and storing the transmitted data;

[0054] Data analytics module, which uses predefined algorithms and machine learning models to analyze data in real time to identify potential issues and trends;

[0055] The fault detection module is used to monitor any abnormal indicators or fault modes in real time and generate fault reports.

[0056] Furthermore, the fault type is simulation data; wherein the simulation data includes: simulation of an open circuit fault on an ECU pin, simulation of a short circuit fault on a power supply, and simulation of a short circuit fault on a ground.

[0057] Furthermore, the cloud data processing unit includes: a fault injection and testing unit, and the fault injection and testing unit are electrically connected to the cloud data processing unit and the instant feedback unit respectively.

[0058] The system integrates multiple key components, including data acquisition unit, local processing node, secure data transmission channel, cloud processing platform, fault detection and feedback system, user interface and control center. Through high-speed and high-precision data acquisition unit, the system captures data from various electronic control units and sensors of the vehicle in real time, and sends them to the cloud after preliminary processing and encryption by local node. In the cloud platform, advanced data analysis and machine learning algorithms are used for in-depth analysis and fault prediction, real-time monitoring and rapid response to system performance anomalies, and automatic generation of fault reports. Through its comprehensive testing and instant feedback mechanism, the present invention significantly improves the efficiency and accuracy of simulation testing, and accelerates the development and optimization process of intelligent vehicle systems.

[0059] This platform uses advanced data management technology to achieve data closed-loop iteration, that is, by continuously collecting test data, analyzing the data, and then feeding back improvement suggestions to the design, it can improve test efficiency and quality, shorten the development cycle, and reduce R&D costs. In this way, the platform not only improves the performance and safety of the vehicle, but also promotes the healthy development of the automotive electronics industry and meets the strict requirements of modern intelligent vehicles for EEA system testing.

[0060] Specifically, Example 1:

[0061] like Figure 1 As shown, the complete architecture of a cloud-based cross-domain EEA simulation test data instant feedback system described in the present invention is shown. The architecture diagram details the interaction and data flow between the components, from the data acquisition end to the cloud processing, and then to fault detection and feedback, each part is clearly identified and described.

[0062] Data acquisition layer: includes multiple sensors and ECUs, responsible for collecting real-time vehicle operation data, such as speed, temperature, voltage, etc. It uses PXI system or equipment with equivalent performance, with high-speed and high-precision data acquisition capabilities.

[0063] Local processing nodes: Local processing nodes are set up in vehicles or test facilities to perform preliminary processing on the collected data, such as data cleaning, preliminary analysis and encryption, provide preliminary diagnosis of the data, reduce the amount of data that needs to be transmitted to the cloud, and optimize the use of network resources.

[0064] Secure data transmission channel: Use encrypted data transmission channels (such as VPN or TLS / SSL) to ensure the security and integrity of data during transmission, and protect data from external attacks and leakage during transmission from local nodes to cloud servers.

[0065] Cloud processing platform: There is a powerful data processing and storage server in the cloud, which is responsible for receiving, storing and further analyzing the data transmitted from the local nodes, and using advanced data analysis and machine learning algorithms to conduct in-depth data processing and fault prediction.

[0066] Fault detection and feedback system: The fault detection module monitors system performance and status in real time, and generates a fault report once an anomaly or fault is detected. The feedback system sends fault reports and repair suggestions to test engineers and project management teams in real time, supporting rapid decision-making and adjustments.

[0067] User Interface and Control Center: Provides an integrated user interface that allows users to remotely access and control the system, view test data, fault reports and system status in real time, and enable users to configure test parameters, perform fault reproduction and system adjustments from any location.

[0068] The embodiment of the present invention provides a cloud-based cross-domain EEA simulation test data instant feedback method, including: being applied to the cloud-based cross-domain EEA simulation test data instant feedback system as described above; and also including the following steps:

[0069] Step S101, deploying data acquisition units in multiple electronic control units ECU and their related sensors and actuators, collecting output data and status information of each ECU and sensor in real time, and capturing and forwarding these data through the data acquisition unit;

[0070] Step S102: performing preliminary cleaning, formatting, compression and encryption processing on the captured data in the data acquisition unit;

[0071] Step S103: using a data transmission unit to transmit the pre-processed data to the cloud securely and in real time via a high-speed network;

[0072] Step S104: receiving and storing the transmitted data in the cloud data processing unit, performing in-depth analysis on the data using the data analysis module, monitoring abnormal indicators or fault modes in real time through the fault detection module, and generating a detailed fault report;

[0073] Step S105: Based on the analysis results of the cloud fault detection module, the fault type, cause and recommended adjustment measures are provided to the preset personnel through the instant feedback unit, and the preset personnel are allowed to adjust the test parameters according to the feedback or directly repair in the system, and update the test strategy and system configuration in real time.

[0074] According to an embodiment of the present invention, preferably, according to the analysis result of the cloud fault detection module, the fault type, cause and recommended adjustment measures are provided to the preset personnel through the instant feedback unit, and the preset personnel are allowed to adjust the test parameters according to the feedback or directly repair in the system, and the test strategy and system configuration are updated in real time, and the following is also included:

[0075] Step S106, start the remote fault reproduction and debugging unit, simulate the fault situation according to the cloud analysis results, allow the preset personnel to remotely diagnose and solve the fault, and use the data feedback unit to update the adjusted parameters or configurations back to the real vehicle or simulation system to ensure the real-time update of the system and the continuity of the test.

[0076] According to an embodiment of the present invention, preferably, the transmitted data is received and stored in the cloud data processing unit, the data is deeply analyzed using the data analysis module, the abnormal indicators or fault modes are monitored in real time through the fault detection module, and a detailed fault report is generated, including:

[0077] Use the FAU to simulate various fault scenarios that affect ECUs and related systems, test the simulated faults, record system responses, and upload fault data to the cloud for further analysis.

[0078] like Figure 2 As shown in the figure, the operation process of a cloud-based cross-domain EEA simulation test data instant feedback system is demonstrated. The flowchart describes in detail the steps from data collection to feedback implementation:

[0079] Data acquisition: Data acquisition units are deployed in each electronic control unit (ECU) of the vehicle and the associated sensors and actuators. The data acquisition unit monitors and records the ECU's operating data, sensor feedback, and actuator responses in real time.

[0080] Data preprocessing: The collected data undergoes preliminary processing, including cleaning, formatting, compression and encryption, to meet the needs of remote transmission.

[0081] Data transmission: The processed data is uploaded to the cloud server via a secure network connection, using high-speed network to ensure the immediacy and accuracy of data transmission.

[0082] Cloud processing: Data is further analyzed and processed in the cloud. This includes storage, management, and advanced analysis of data to identify potential issues and areas for improvement. The fault detection module analyzes data in real time to identify any degradation in system performance or potential failures.

[0083] Fault diagnosis and instant feedback: Once a fault or performance issue is detected, the system automatically generates a fault report, including the fault type, cause, and recommended corrective actions. Through the cloud system, this feedback is instantly sent to test engineers and project management teams, allowing them to quickly respond and adjust test parameters or system configurations.

[0084] Fault reproduction and repair: When necessary, the test team can use remote control tools to reproduce the fault scenario in a simulation environment for more in-depth analysis and problem solving. After the repair measures are verified by the test, the relevant system updates and configuration changes can be injected back into the real vehicle or simulation system to verify the repair effect and make final optimization.

[0085] Specifically, Example 2:

[0086] Assuming that the following simulation data types are being processed: speed sensor data, temperature sensor data, battery voltage, and ECU error code, the present invention will gradually analyze the entire process of data flow from acquisition to processing, transmission, storage, and fault handling.

[0087] Data acquisition. Data types: speed sensor data (m / s), temperature sensor data (°C), battery voltage (Volts), ECU error code (fault identifier); Acquisition equipment: Use a PXI system with high-speed data acquisition capabilities to capture the output of each sensor and ECU in real time.

[0088] Data preprocessing. Processing operations: Filtering: Apply a low-pass filter to the speed and temperature data to remove high-frequency noise. Normalization: Normalize the voltage data to the 0-1 range for easier processing. Encoding: Convert ECU error codes to digital identifiers that are easy to process.

[0089] Filtering of speed and temperature: y(t)=ax(t)+(1-a)x(t), where a is the filter coefficient.

[0090] Voltage normalization: Vnorm = (Vmeasured - Vmin) / (Vmax - Vmin).

[0091] Data transmission: Data is uploaded to the cloud server in real time using secure TLS / SSL encryption protocols via 5G or wired Ethernet connections.

[0092] Cloud processing. Data analysis: Use machine learning algorithms to analyze speed and temperature data to identify abnormal patterns, such as rapid acceleration or overheating, monitor voltage data to predict battery performance degradation, and analyze ECU error codes to diagnose specific hardware or software problems. Storage: Data is stored in a cloud database, such as Amazon RDS or Google Cloud SQL, to ensure high availability and disaster recovery.

[0093] Fault detection and feedback. Fault handling: If abnormal acceleration or high temperature is detected, the system will automatically adjust the relevant control parameters or notify the engineer for manual intervention. Abnormal battery voltage triggers preventive maintenance procedures, and ECU error codes trigger specific fault diagnosis procedures. Instant feedback: Fault reports and adjustment suggestions are instantly fed back to test engineers and project management teams through the web interface or mobile application.

[0094] Remote fault reproduction and debugging. Action decision: Use the cloud control panel to remotely configure the simulation environment, reproduce and analyze the fault scenario in detail, adjust simulation parameters or update firmware / software based on the analysis results, and then retest to verify the effectiveness of the repair measures.

[0095] Through this detailed operational decision-making and data processing strategy, the cloud-based cross-domain EEA simulation test platform can effectively improve the accuracy and efficiency of the test and ensure the high performance and reliability of the intelligent vehicle system.

[0096] like Figure 3 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12 and RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0097] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0098] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as a cloud-based cross-domain EEA simulation test data instant feedback system.

[0099] In some embodiments, a cloud-based cross-domain EEA simulation test data instant feedback system may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via ROM12 and / or communication unit 19. When the computer program is loaded into RAM13 and executed by processor 11, one or more steps of the cloud-based cross-domain EEA simulation test data instant feedback system described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to execute a cloud-based cross-domain EEA simulation test data instant feedback system by any other appropriate means (e.g., by means of firmware).

[0100] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0101] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0102] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0103] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0104] The systems and techniques described herein may be implemented in a computing system that includes a backend component (e.g., as a data server), or a computing system that includes a middleware component (e.g., an application server), or a computing system that includes a frontend component (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LA), a wide area network (WA), a blockchain network, and the Internet.

[0105] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0106] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0107] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A cloud-based cross-domain EEA simulation test data instant feedback system, characterized by: include: The data acquisition unit is configured on multiple electronic control units (ECUs) and is used to collect data output by each ECU of the vehicle and sensor feedback in real time; A data preprocessing unit, electrically connected to the data acquisition unit, for performing cleaning, formatting, compression and encryption processing on the acquired data; A data transmission unit, electrically connected to the data preprocessing unit, for transmitting the preprocessed data to a cloud server in real time via a high-speed network; A cloud data processing unit, electrically connected to the data transmission unit, and configured to receive and process data from the data transmission unit; The instant feedback unit is electrically connected to the cloud data processing unit, and is used to receive the fault report of the fault detection module and provide a fault notification to the preset personnel in real time; wherein the fault notification includes: fault type, fault cause and recommended adjustment measures.

2. The cloud-based cross-domain EEA simulation test data instant feedback system according to claim 1, characterized in that: Also includes: A remote fault reproduction and debugging unit, which is electrically connected to the instant feedback unit, is used for preset personnel to remotely start the fault reproduction process to simulate the environmental conditions and configuration when the fault occurs, and to verify the effectiveness of the cause of the fault and the solution, and to redeploy the adjusted parameters or configuration to the real vehicle or simulation system through the data re-injection module.

3. The cloud-based cross-domain EEA simulation test data instant feedback system according to claim 1, characterized in that: The data acquisition unit includes: a real-time component system for real-time simulation of the electrical characteristics of the vehicle; wherein the electrical characteristics include: power supply, sensor, actuator and other ECU communication and control logic; A multi-channel data interface is configured in the real-time component system and is used to simultaneously capture data from various ECUs, sensors and actuators.

4. The cloud-based cross-domain EEA simulation test data instant feedback system according to claim 1, characterized in that: The data preprocessing unit includes: a speed and temperature filtering module and a voltage normalization module.

5. The cloud-based cross-domain EEA simulation test data instant feedback system according to claim 1, characterized in that: The cloud data processing unit includes: A data receiving module is used to receive and classify the transmitted data; Data analytics module, which uses predefined algorithms and machine learning models to analyze data in real time to identify potential issues and trends; The fault detection module is used to monitor any abnormal indicators or fault modes in real time and generate fault reports.

6. The cloud-based cross-domain EEA simulation test data instant feedback system according to claim 1, characterized in that: The fault type is simulation data; wherein the simulation data includes: simulation of an open circuit fault on an ECU pin, simulation of a short circuit fault on a power supply, and simulation of a short circuit fault on a ground.

7. The cloud-based cross-domain EEA simulation test data instant feedback system according to claim 1, characterized in that: The cloud data processing unit comprises: a fault injection and testing unit, and the fault injection and testing unit are electrically connected to the cloud data processing unit and the instant feedback unit respectively.

8. A cloud-based cross-domain EEA simulation test data instant feedback method, characterized in that: include: Applicable to the cloud-based cross-domain EEA simulation test data instant feedback system as described in any one of claims 1 to 7; return The following steps are involved: Deploy data acquisition units in multiple electronic control units ECUs and their related sensors and actuators to collect output data and status information of each ECU and sensor in real time, and capture and forward these data through the data acquisition units; Perform preliminary cleaning, formatting, compression and encryption on the captured data in the data acquisition unit; The data transmission unit is used to transmit the pre-processed data to the cloud securely and in real time via a high-speed network; Receive and store the transmitted data in the cloud data processing unit, use the data analysis module to conduct in-depth analysis of the data, monitor abnormal indicators or fault modes in real time through the fault detection module, and generate detailed fault reports; According to the analysis results of the cloud fault detection module, the fault type, cause and recommended adjustment measures are provided to the preset personnel through the instant feedback unit, and the preset personnel are allowed to adjust the test parameters according to the feedback or directly repair it in the system, and update the test strategy and system configuration in real time.

9. The cloud-based cross-domain EEA simulation test data instant feedback method according to claim 8, characterized in that: According to the analysis results of the cloud fault detection module, the fault type, cause and recommended adjustment measures are provided to the preset personnel through the instant feedback unit, and the preset personnel are allowed to adjust the test parameters or repair them directly in the system according to the feedback. After updating the test strategy and system configuration in real time, it also includes: Start the remote fault reproduction and debugging unit, simulate the fault situation according to the cloud analysis results, allow the preset personnel to remotely diagnose and solve the fault, and use the data feedback unit to update the adjusted parameters or configurations back to the real vehicle or simulation system to ensure the real-time update of the system and the continuity of the test.

10. The cloud-based cross-domain EEA simulation test data instant feedback method according to claim 8, characterized in that: The cloud data processing unit receives and stores the transmitted data, uses the data analysis module to conduct in-depth analysis of the data, and uses the fault detection module to monitor abnormal indicators or fault modes in real time to generate detailed fault reports, including: Use the FAU to simulate various fault scenarios that affect ECUs and related systems, test the simulated faults, record system responses, and upload fault data to the cloud for further analysis.

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