CN118646630A - Method, device, equipment and medium for detecting communication anomaly in vehicle network - Google Patents

Abstract

The present disclosure relates to a method, device, equipment and medium for detecting communication anomalies in a vehicle network, wherein the method comprises: collecting status information of the vehicle network through multiple SOC nodes in the vehicle, wherein the multiple SOC nodes are connected through network communication; controlling each SOC node to broadcast the status information through the network so that the target SOC node obtains the status information collected by each SOC node; controlling the target SOC node to match the status information collected by each SOC node with abnormal conditions to determine the communication anomaly detection result of the vehicle network. According to the technical solution of the present disclosure, the real-time, accuracy and reliability of the vehicle network communication anomaly detection can be improved.

Description

Method, device, equipment and medium for detecting communication anomaly in vehicle network

Technical Field

The present disclosure relates to the field of vehicle technology, and in particular to a method, device, equipment and medium for detecting communication anomalies in a network within a vehicle.

Background Art

ECU (Electronic Control Unit) is an important unit in the vehicle. OBD (OnBoard Diagnostics) interface is an interface on the vehicle, which is used to connect detection equipment, computers, etc.

In the related technology, external devices are connected through the OBD interface to realize the diagnosis and detection of nodes such as ECU. This method requires external devices, but some scenarios related to the vehicle are not convenient for external devices. Therefore, it is difficult to achieve real-time detection in such scenarios.

Summary of the invention

In order to solve the above technical problems, the present disclosure provides a method, device, equipment and medium for detecting communication anomalies in a vehicle network.

In a first aspect, an embodiment of the present disclosure provides a method for detecting communication anomalies in a vehicle network, comprising:

Collecting status information of a network in the vehicle through a plurality of SOC nodes in the vehicle, wherein the plurality of SOC nodes are connected through network communication;

Controlling each of the SOC nodes to broadcast the status information through the network, so that a target SOC node acquires the status information collected by each of the SOC nodes; the target SOC node is any one of the multiple SOC nodes;

The target SOC node is controlled to match the state information collected by each SOC node with the abnormal condition, and a communication abnormality detection result of the in-vehicle network is determined.

In a second aspect, an embodiment of the present disclosure provides a communication anomaly detection device for a vehicle network, comprising:

A collection module, used for collecting status information of a vehicle network through a plurality of SOC nodes in the vehicle, wherein the plurality of SOC nodes are connected through network communication;

A broadcast module, used for controlling each of the SOC nodes to broadcast the status information through the network, so that a target SOC node obtains the status information collected by each of the SOC nodes; the target SOC node is any node among the multiple SOC nodes;

The detection module is used to control the target SOC node to match the state information collected by each SOC node with the abnormal condition, and determine the communication abnormality detection result of the vehicle internal network.

In a third aspect, an embodiment of the present disclosure provides an electronic device, comprising: a processor; a memory for storing executable instructions of the processor; the processor is used to read the executable instructions from the memory and execute the instructions to implement the method for detecting communication anomalies in the vehicle network as described in the first aspect above.

In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the method for detecting communication anomalies in a vehicle network described in the first aspect above is implemented.

In a fifth aspect, an embodiment of the present disclosure provides a vehicle, comprising a communication anomaly detection device for an in-vehicle network as described in the second aspect above, or an electronic device as described in the third aspect above.

Compared with the prior art, the technical solution provided by the disclosed embodiment has the following advantages: the status information of the network within the vehicle is collected by multiple SOC nodes in the vehicle, and the multiple SOC nodes are connected through network communication, and then the SOC nodes broadcast the status information through the network, and the target SOC node matches the status information collected by each SOC node with the abnormal condition to determine the communication abnormality detection result of the network within the vehicle. Therefore, compared with the method of realizing detection through the OBD interface in the prior art, detection can be realized without connecting an external device through an interface, which solves the problem that the detection method of the external device is difficult to realize real-time detection, and ensures the real-time nature of the detection.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

FIG1 is a flow chart of a method for detecting abnormal communication in a vehicle network according to an embodiment of the present disclosure;

FIG2 is a flow chart of another method for detecting abnormal communication in a vehicle network according to an embodiment of the present disclosure;

FIG3 is a schematic diagram of a graphical display interface provided by an embodiment of the present disclosure;

FIG4 is a schematic diagram of the structure of a communication anomaly detection device for an in-vehicle network provided by an embodiment of the present disclosure.

DETAILED DESCRIPTION

In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

SOC (System on Chip), or system on chip, is an integrated circuit with a dedicated purpose, which contains all the contents of a complete system and embedded software. SOC uses a non-real-time operating system, such as Android, Linux, and Windows.

Figure 1 is a flow chart of a method for detecting a communication anomaly in a vehicle network provided in an embodiment of the present disclosure. The method provided in an embodiment of the present disclosure can be executed by a communication anomaly detection device for a vehicle network, which can be implemented in software and/or hardware and can be integrated in any electronic device with computing capabilities, such as a vehicle-mounted terminal.

As shown in FIG1 , the method for detecting communication anomalies in a vehicle network provided by an embodiment of the present disclosure may include:

Step 101 , collecting status information of a network in a vehicle through a plurality of SOC nodes in the vehicle, wherein the plurality of SOC nodes are connected through network communication.

In this embodiment, multiple SOC nodes are connected through network communication, that is, a network path is designed in the overall network structure in the vehicle, and the path can lead to all SOC nodes in the vehicle. Among them, for the type of network, for example, multiple SOC nodes are connected through Ethernet communication, and for another example, multiple SOC nodes are connected through CAN network communication.

Each SOC node collects the following status information: 1) collects the Ethernet ping (Packet Internet Groper) value information from the current SOC node to other SOC nodes, wherein each SOC node determines the Ethernet ping value information to other SOC nodes based on the returned information by making a request to other SOC nodes; 2) collects the Ethernet switch (switch) status information/phy (port physical layer, Ethernet phy is a chip that can send and receive Ethernet data frames) chip status information connected to the current SOC node through a physical connection method (such as mdio (Management Data Input Output), spi (Serial Peripheral Interface), uart (Universal Asynchronous Receiver Transmitter), etc.), wherein the Ethernet switch status information, for example, is the sending data (tx, transport x) and receiving data (rx, receive) on each port of the switch. x) information, Ethernet phy chip status information, such as connection (linkup), link down and other information; 3) The current SOC node sends its own heartbeat information through the CAN (Controller Area Network) network; 4) The current SOC node collects the heartbeat information of other nodes through the CAN network, where the heartbeat information is sent periodically and can carry information such as node status; 5) Through each CAN network connected by the current SOC node, the ECU status information on the corresponding CAN network is collected.

Step 102 : Control each SOC node to broadcast the status information through the network, so that the target SOC node obtains the status information collected by each SOC node.

In this embodiment, the target SOC node may be predetermined and used to collect the status information collected by each SOC node so as to perform processing according to the status information collected by each SOC node.

As an example, multiple SOC nodes are connected via Ethernet communication, that is, the Ethernet path can lead to all SOC nodes in the vehicle. After collecting status information, each SOC node broadcasts the collected status information through the Ethernet.

As another example, multiple SOC nodes are connected through a CAN network communication, that is, the CAN network path can lead to all SOC nodes in the vehicle. After collecting status information, each SOC node broadcasts the collected status information through the CAN network.

The number of target SOC nodes may be one or more, and the target SOC node may be a SOC node connected to a display device, a voice device, or other information display function device, for example, the target SOC node is a SOC node of a vehicle computer. Optionally, the number of target SOC nodes is multiple, for example, among SOC1, SOC2, and SOC3, SOC2 is connected to a display device, SOC3 is connected to a voice device, SOC2 and SOC3 are target SOC nodes, and SOC1, SOC2, and SOC3 all broadcast status information.

Step 103 , controlling the target SOC node to match the state information collected by each SOC node with the abnormal condition, and determining the communication abnormality detection result of the vehicle internal network.

In this embodiment, the target SOC node collects the above-mentioned state information collected by each SOC node and performs summary calculation to match it with the abnormal condition to determine the communication abnormality detection result. Among them, the abnormal condition is used to determine whether the state information meets certain conditions. For example, the abnormal condition may be that the ping value information returned by a certain SOC node is not obtained, etc. There may be multiple abnormal conditions. If the state information matches a certain abnormal condition, it can be determined that an abnormality exists and what kind of abnormality exists.

As an example, multiple SOC nodes are connected via Ethernet communication, and the communication anomaly detection result includes whether the ECU is abnormal, whether the SOC node is disconnected from Ethernet, etc.

As another example, multiple SOC nodes are connected via CAN network communication, and the communication anomaly detection result includes whether the ECU is abnormal, whether the CAN node is offline, etc.

In one embodiment of the present disclosure, after determining the communication anomaly detection result, for a target SOC node connected to a display device, the communication anomaly detection result is displayed through the display device connected to the target SOC node, and/or, for a target SOC node connected to a voice device, the communication anomaly detection result is played through the voice device connected to the target SOC node.

According to the technical solution of the embodiment of the present disclosure, status information is collected by multiple SOC nodes in the vehicle, the SOC nodes are controlled to broadcast the status information through the network, and the target SOC node matches the status information collected by each SOC node with the abnormal condition to determine the communication abnormality detection result. Therefore, compared with the method of realizing ECU and other node detection through the OBD interface in the prior art, since this method requires vehicle external devices and is difficult to realize real-time detection in scenes such as vehicle driving, in this method, multiple SOC nodes are connected through network communication, status information is collected by the SOC nodes and broadcast in the network, and the communication abnormality detection result is determined at the target SOC node. Detection can be realized without connecting external devices through interfaces, which solves the problem that it is difficult to realize real-time detection in the prior art and ensures the real-time performance of abnormality detection.

Based on the above embodiment, FIG2 is a flow chart of another method for detecting abnormal communication in a vehicle network provided by an embodiment of the present disclosure. As shown in FIG2 , the method includes:

Step 201 : collecting status information of the network in the vehicle through multiple SOC nodes in the vehicle.

Among them, multiple SOC nodes are connected through Ethernet communication, and multiple SOC nodes are connected through CAN network communication. The status information includes the Ethernet ping value of the SOC node, the status of the Ethernet switch physically connected to the SOC node, the status of the Ethernet phy chip, the heartbeat information transmitted through the CAN network, and the status of each ECU on the CAN network.

Step 202: Each SOC node broadcasts status information via Ethernet and CAN network respectively.

In this embodiment, the following paths are established in the overall network structure in the vehicle, including an Ethernet network leading to all SOC nodes and a CAN network leading to all SOC nodes. For example, for the Ethernet ping value, if the SOC node is offline, the status information cannot be broadcast through the Ethernet. At this time, the status information can be broadcast through the CAN network so that the target SOC node can perform subsequent processing. Among them, the Ethernet network leading to all SOC nodes can be realized by one path or a combination of multiple paths. The same is true for the CAN network, which is not limited here.

Therefore, by using the CAN network and Ethernet as backup communication methods for each other, communication diagnosis of the CAN network and Ethernet network in the vehicle can be realized, which can improve the accuracy and reliability of communication anomaly detection.

Step 203 , matching the state information collected by each SOC node with the abnormal condition to determine the communication abnormality detection result of the in-vehicle network.

In one embodiment of the present disclosure, the status information includes the Ethernet ping value of the SOC node, and the status information collected by each SOC node is matched with the abnormal condition to determine the communication abnormality detection result, including: if all SOC nodes fail to obtain the Ethernet ping value returned by the first SOC node, then the communication abnormality detection result is determined to be that the Ethernet of the first SOC node is disconnected; and/or, if the second SOC node fails to obtain the Ethernet ping value returned by any SOC node, then the communication abnormality detection result is determined to be that the second SOC node is disconnected from the external network.

In one embodiment of the present disclosure, the status information includes the Ethernet ping value of the SOC node, the status of the Ethernet switch physically connected to the SOC node, and the status of the Ethernet phy chip. The status information collected by each SOC node is matched with the abnormal condition to determine the communication abnormality detection result, including: if all SOC nodes have not obtained the Ethernet ping value returned by the first SOC node, and the disconnection information of the Ethernet phy chip is obtained through the specified link, then the communication abnormality detection result is determined to be that the Ethernet phy chip corresponding to the first SOC node is not connected; and/or, if the port of the Ethernet switch connected to the third SOC node has no count changes in the sending direction or the receiving direction, then the communication abnormality detection result is determined to be that the port is abnormal. Among them, the first SOC node, the second SOC node and the third SOC node can be any node among multiple SOC nodes.

As an example, take SOC1, SOC2, and SOC3 as an example. If SOC2 pings SOC1 and does not receive a response, it is judged that SOC1 is offline. If phy linkdown information is received through the mdio link of phy-soc at the same time, it is judged as phylinkdown. In this example, abnormal data can be sent to SOC3 through Ethernet and CAN network at the same time. Due to the phylinkdown of SOC2, it cannot communicate with SOC3 through Ethernet. Therefore, the abnormal data is sent to SOC3 through the CAN network, and SOC3 displays the abnormality to the user in a graphical way.

As another example, when SOC1 pings SOC2+SOC3 but no ping is returned, it is determined that the local Ethernet network is abnormal, and the abnormal data is sent to SOC3 through the CAN network. SOC3 displays the abnormal data to the user in a graphical manner.

As another example, if there is no count change in either the sending or receiving direction of port 1 of the Ethernet switch connected to SOC1, it is determined that port 1 is abnormal.

In one embodiment of the present disclosure, the status information includes the heartbeat information transmitted through the CAN network and the status of each ECU on the CAN network. The status information collected by each SOC node is matched with the abnormal condition to determine the communication abnormality detection result, including: if the heartbeat information of any CAN node in the CAN network is not received within a preset time, the communication abnormality detection result is determined to be the CAN node offline; and/or, if the status of the specified ECU is an abnormal state, the communication abnormality detection result is determined to be the abnormality of the specified ECU. Wherein, the CAN node is a node in the CAN network, including SOC nodes, ECUs, etc.

As an example, SOC1, SOC2, and SOC3 all send heartbeat information through the CAN network. If SOC1 and SOC2 do not receive the heartbeat information of SOC3 within a preset time, it is determined that SOC3 is offline.

Step 204 , generating a display image according to the connection relationship between the plurality of SOC nodes, determining a position corresponding to the communication anomaly detection result in the display image, and displaying the communication anomaly detection result at the position.

Referring to Figure 3, Figure 3 shows a schematic diagram of a graphical display interface, and the displayed content includes nodes, connection relationships between nodes, etc., that is, a display image is generated corresponding to the connection relationship between multiple SOC nodes. For communication abnormality detection results, such as SOC disconnection, phy linkdown, no data transmission or reception at the switch port, ECU4 bus disconnection (busoff), etc., based on the aforementioned steps, SOC3 can process according to the status information collected by each node, determine the abnormal content and the location where the abnormality occurs, and display the abnormal content at the corresponding position in the figure.

Among them, eth is the Ethernet network interface, IP refers to the IP address of the device, and when SOC3 corresponds to the vehicle computer, the arrow on the right side of SOC3 can be connected to the screen. As shown in Figure 3, the SOC nodes are connected through CAN network 1, ECU1, ECU 2, ECU 5 are located in CAN network 1, ECU3, ECU4 and SOC2 are located in CAN network 2, SOC3, ECU6 and ECU7 are located in CAN network 4, among which SOC2 can collect the status information of ECU3 and ECU4, and SOC3 can collect the status information of ECU6 and ECU7.

In the disclosed embodiment, the CAN network and Ethernet are used as backup communication methods to realize communication diagnosis of the vehicle network, further improving the accuracy and reliability of communication anomaly detection. In addition, a display image is generated according to the connection relationship between multiple SOC nodes, and the position corresponding to the communication anomaly detection result is determined in the display image for display. For example, whether each SOC, MCU (Microcontroller Unit), ECU, etc. in the vehicle network is working normally, realizing graphical display, which is more intuitive.

The disclosed embodiment also provides a communication anomaly detection device for an in-vehicle network.

FIG4 is a schematic diagram of the structure of a communication anomaly detection device for an in-vehicle network provided in an embodiment of the present disclosure. As shown in FIG4 , the communication anomaly detection device for an in-vehicle network includes: a collection module 41 , a broadcast module 42 , and a detection module 43 .

The acquisition module 41 is used to acquire the status information of the network in the vehicle through a plurality of SOC nodes in the vehicle, wherein the plurality of SOC nodes are connected through network communication.

The broadcast module 42 is used to control each SOC node to broadcast the status information through the network, so that a target SOC node obtains the status information collected by each SOC node, and the target SOC node is any node among the multiple SOC nodes.

The detection module 43 is used to control the target SOC node to match the state information collected by each SOC node with the abnormal condition, and determine the communication abnormality detection result of the vehicle internal network.

In one embodiment of the present disclosure, the multiple SOC nodes are connected via Ethernet communication, and the multiple SOC nodes are connected via CAN network communication, and the broadcast module 42 is specifically used to: control the SOC nodes to broadcast the status information via Ethernet and CAN network respectively.

In one embodiment of the present disclosure, the status information includes the Ethernet ping value of the SOC node, the first SOC node is any one of the multiple SOC nodes, and the second SOC node is any one of the multiple SOC nodes. The detection module 43 is specifically used to: if all SOC nodes fail to obtain the Ethernet ping value returned by the first SOC node, determine that the communication anomaly detection result is that the Ethernet of the first SOC node is disconnected; and/or, if the second SOC node fails to obtain the Ethernet ping value returned by any SOC node, determine that the communication anomaly detection result is that the second SOC node is disconnected from the external network.

In one embodiment of the present disclosure, the status information also includes the status of the Ethernet switch physically connected to the SOC node and the status of the Ethernet phy chip. The third SOC node is any one of the multiple SOC nodes. The detection module 43 is specifically used for: if all SOC nodes have not obtained the Ethernet ping value returned by the first SOC node, and the disconnection information of the Ethernet phy chip is obtained through the specified link, then it is determined that the communication anomaly detection result is that the Ethernet phy chip corresponding to the first SOC node is not connected; and/or, if the port of the Ethernet switch connected to the third SOC node has no count changes in the sending direction or the receiving direction, then it is determined that the communication anomaly detection result is that the port is abnormal.

In one embodiment of the present disclosure, the status information includes heartbeat information transmitted through the CAN network and the status of each ECU on the CAN network. The detection module 43 is specifically used to: if the heartbeat information of any CAN node in the CAN network is not received within a preset time, then determine that the communication abnormality detection result is that the CAN node is offline; and/or, if the status of the specified ECU is an abnormal state, then determine that the communication abnormality detection result is that the specified ECU is abnormal.

In one embodiment of the present disclosure, the communication anomaly detection device of the in-vehicle network further includes:

a display module, used to display the communication anomaly detection result through a display device connected to the target SOC node; and/or a voice module, used to play the communication anomaly detection result through a voice device connected to the target SOC node.

In one embodiment of the present disclosure, the display module is specifically used to: generate a display image according to the connection relationship between the multiple SOC nodes; determine a position corresponding to the communication anomaly detection result in the display image to display the communication anomaly detection result at the position.

The communication anomaly detection device for the in-vehicle network provided in the embodiment of the present disclosure can execute any in-vehicle network communication anomaly detection method provided in the embodiment of the present disclosure, and has the corresponding functional modules and beneficial effects of the execution method. The contents not described in detail in the embodiment of the device of the present disclosure can refer to the description in any method embodiment of the present disclosure.

An embodiment of the present disclosure also provides an electronic device, which includes one or more processors and a memory.

The processor may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

The memory may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and/or cache memory (cache), etc. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on a computer-readable storage medium, and a processor may run the program instructions to implement the methods of the embodiments of the present disclosure above and/or other desired functions. Various contents such as input signals, signal components, noise components, etc. may also be stored in the computer-readable storage medium.

In one example, the electronic device may further include: an input device and an output device, and these components are interconnected through a bus system and/or other forms of connection mechanisms. In addition, the input device may also include, for example, a keyboard, a mouse, etc. The output device may output various information to the outside, including determined distance information, direction information, etc. The output device may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc.

Of course, for simplicity, only some of the components in the electronic device related to the present disclosure are shown, omitting components such as a bus, an input/output interface, etc. In addition, the electronic device may further include any other appropriate components according to specific application scenarios.

In addition to the above methods and devices, the embodiments of the present disclosure may also be a computer program product, which includes computer program instructions. When the computer program instructions are executed by a processor, the processor executes any method provided by the embodiments of the present disclosure.

The computer program product may be written in any combination of one or more programming languages to write program code for performing the operations of the disclosed embodiments, including object-oriented programming languages such as Java, C++, etc., and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

In addition, the embodiments of the present disclosure may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes any method provided by the embodiments of the present disclosure.

Computer readable storage media can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

An embodiment of the present disclosure may also be a vehicle, wherein there are multiple SOC nodes in the vehicle, and the multiple SOC nodes are connected via network communication, for example, the multiple SOC nodes are connected via Ethernet communication, and/or the multiple SOC nodes are connected via CAN network communication, wherein the vehicle also includes a communication anomaly detection device for the in-vehicle network as described above, or an electronic device as described in the above embodiments.

It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims (11)

1. A method for detecting communication anomalies in a vehicle network, comprising: Collecting status information of a network in the vehicle through a plurality of SOC nodes in the vehicle, wherein the plurality of SOC nodes are connected through network communication; Controlling each of the SOC nodes to broadcast the status information through the network, so that a target SOC node acquires the status information collected by each of the SOC nodes; the target SOC node is any one of the multiple SOC nodes; The target SOC node is controlled to match the state information collected by each SOC node with the abnormal condition, and a communication abnormality detection result of the in-vehicle network is determined. 2. The method according to claim 1, characterized in that the plurality of SOC nodes are connected via Ethernet communication, and the plurality of SOC nodes are connected via CAN network communication, and the controlling each of the SOC nodes to broadcast the status information via the network comprises: Each of the SOC nodes is controlled to broadcast the status information respectively through the Ethernet and the CAN network. 3. The method according to claim 2, wherein the status information includes an Ethernet ping value of the SOC node, and the matching of the status information collected by each SOC node with the abnormal condition to determine the communication abnormality detection result of the in-vehicle network includes: If all the SOC nodes fail to obtain the Ethernet ping value returned by the first SOC node, it is determined that the communication anomaly detection result is that the first SOC node Ethernet is offline; the first SOC node is any node among the multiple SOC nodes; and/or, If the second SOC node does not obtain the Ethernet ping value returned by any of the SOC nodes, it is determined that the communication anomaly detection result is that the second SOC node is disconnected from the external network; the second SOC node is any node among the multiple SOC nodes. 4. The method according to claim 3, characterized in that the status information also includes the status of the Ethernet switch physically connected to the SOC node and the status of the Ethernet PHY chip, and the matching of the status information collected by each SOC node with the abnormal condition to determine the communication abnormality detection result of the vehicle network includes: If all SOC nodes fail to obtain the Ethernet ping value returned by the first SOC node, and obtain the disconnection information of the Ethernet phy chip through the specified link, it is determined that the communication anomaly detection result is that the Ethernet phy chip corresponding to the first SOC node is not connected; and/or, If the port of the Ethernet switch connected to the third SOC node has no count change in the sending direction or the receiving direction, it is determined that the communication abnormality detection result is that the port is abnormal; the third SOC node is any node among the multiple SOC nodes. 5. The method according to claim 2, wherein the status information includes heartbeat information transmitted through a CAN network and the status of each ECU on the CAN network, and the matching of the status information collected by each SOC node with the abnormal condition to determine the communication abnormality detection result of the vehicle network includes: If the heartbeat information of any CAN node in the CAN network is not received within the preset time, it is determined that the communication abnormality detection result is that the CAN node is offline; and/or, If the state of the designated ECU is an abnormal state, it is determined that the communication abnormality detection result is that the designated ECU is abnormal. 6. The method according to claim 1, further comprising: displaying the communication anomaly detection result through a display device connected to the target SOC node; and/or, The communication anomaly detection result is played through a voice device connected to the target SOC node. 7. The method according to claim 6, wherein displaying the communication abnormality detection result by a display device connected to the target SOC node comprises: Generate a display image correspondingly according to the connection relationship between the plurality of SOC nodes; A position corresponding to the communication abnormality detection result is determined in the display image to display the communication abnormality detection result at the position. 8. A communication anomaly detection device for a vehicle network, comprising: A collection module, used for collecting status information of a network in a vehicle through a plurality of SOC nodes in the vehicle, wherein the plurality of SOC nodes are connected through network communication; A broadcast module, used for controlling each of the SOC nodes to broadcast the status information through the network, so that a target SOC node obtains the status information collected by each of the SOC nodes; the target SOC node is any node among the multiple SOC nodes; The detection module is used to control the target SOC node to match the state information collected by each SOC node with the abnormal condition, and determine the communication abnormality detection result of the vehicle internal network. 9. An electronic device, comprising: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the instructions to implement the communication anomaly detection method for the in-vehicle network as described in any one of claims 1-7. 10. A computer-readable storage medium, characterized in that the storage medium stores a computer program, and when the computer program is executed by a processor, the communication anomaly detection method for an in-vehicle network described in any one of claims 1 to 7 is implemented. 11. A vehicle, comprising: The device as claimed in claim 8, or the electronic device as claimed in claim 9.