Whole vehicle safety determination method, device and equipment of vehicle and medium

Abstract

The invention discloses a whole vehicle safety determination method, device and equipment of a vehicle and a medium. The method comprises the following steps: acquiring a current detection code from the hybrid vehicle; wherein the current detection code is generated by packaging the current detection information of each key component in the current period in the vehicle driving process based on a diagnosis protocol; the current detection code of the current period is adopted to update the fault statistical information of the key parts of the vehicle to obtain new fault statistical information of the key parts, and the whole vehicle safety degree of the vehicle is determined according to the new fault statistical information of the key parts; and generating a fault analysis report according to the vehicle safety degree. According to the embodiment of the invention, the storage requirement of fault detection of the hybrid vehicle can be met, and the overall safety of the vehicle can be determined.

Description

Technical Field

[0001] The present invention relates to the field of vehicle safety technology, and in particular to a method, device, equipment and medium for determining the safety of a vehicle. Background Art

[0002] Automobile safety assessment is a process of comprehensive inspection and evaluation of automobile safety to ensure that the car provides adequate safety protection for drivers and passengers during driving. Through feedback from the evaluation results, automobile manufacturers can understand the deficiencies in product safety performance and take corresponding improvement measures.

[0003] Compared with traditional vehicles, hybrid vehicles have significantly more electronic components, which increases the possibility and complexity of failures. Existing vehicle safety assessment methods cannot effectively evaluate the overall safety of hybrid vehicles. Summary of the invention

[0004] The present invention provides a vehicle safety determination method, device, equipment and medium to solve the problem that the existing vehicle safety assessment method cannot effectively assess the vehicle safety of a hybrid electric vehicle.

[0005] According to one aspect of the present invention, a method for determining vehicle safety is provided, comprising:

[0006] Acquire a current detection code from the hybrid vehicle; wherein the current detection code is generated by packaging current detection information of each key component in a current cycle during vehicle driving based on a diagnostic protocol;

[0007] Using the current detection code of the current cycle to update the key component failure statistical information of the vehicle to obtain new key component failure statistical information, and determining the vehicle safety degree according to the new key component failure statistical information;

[0008] Generate a fault analysis report based on the safety of the entire vehicle.

[0009] According to another aspect of the present invention, there is provided a vehicle safety determination device, comprising:

[0010] A detection code acquisition module is used to acquire a current detection code from the hybrid vehicle; wherein the current detection code is generated by packaging current detection information of each key component in the current cycle during the vehicle driving process based on a diagnostic protocol;

[0011] A vehicle safety determination module is used to update the key component failure statistics of the vehicle using the current detection code of the current cycle to obtain new key component failure statistics, and determine the vehicle safety of the vehicle according to the new key component failure statistics;

[0012] The fault analysis module is used to generate a fault analysis report based on the safety of the entire vehicle.

[0013] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the vehicle safety determination method according to any embodiment of the present invention.

[0014] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0015] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the vehicle safety determination method of any embodiment of the present invention.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the vehicle safety determination method described in any embodiment of the present invention when executed.

[0017] The embodiment of the present invention obtains the current detection code from the hybrid vehicle; uses the current detection code of the current cycle to update the key component failure statistical information of the vehicle to obtain new key component failure statistical information, and determines the vehicle's overall safety based on the new key component failure statistical information; and generates a fault analysis report based on the overall vehicle safety. By obtaining the current detection code, the vehicle's key component failure statistical information can be updated in real time to ensure the timeliness and accuracy of the fault data; based on the real-time updated vehicle key component failure statistical information, the vehicle's fault point can be determined more accurately to reduce misdiagnosis and missed diagnosis, and the potential safety risks of the vehicle can be discovered in time, and corresponding preventive measures can be taken to avoid accidents; optimize vehicle maintenance strategies and reduce maintenance costs; combine big data, artificial intelligence and other technologies to conduct in-depth mining and analysis of fault data, promote the upgrading of fault diagnosis technology, promote the development of vehicle intelligence, and improve the overall safety performance of the vehicle.

[0018] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 is a first flow chart of a vehicle safety determination method provided by an embodiment of the present invention;

[0021] Figure 2 is a second flow chart of a vehicle safety determination method provided by an embodiment of the present invention;

[0022] Figure 3 It is a structural schematic diagram of a vehicle safety determination device provided by an embodiment of the present invention;

[0023] Figure 4 It is a schematic diagram of the structure of an electronic device implementing an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] Figure 1This is the first flow chart of a vehicle safety determination method provided by an embodiment of the present invention. This embodiment is applicable to the case of performing vehicle safety assessment on a hybrid vehicle. The method can be executed by a vehicle safety determination device. The device can be implemented in the form of hardware and / or software. The device can be configured in an electronic device with corresponding data processing capabilities. Figure 1 As shown, the method includes:

[0027] S110 . Obtain a current detection code from the hybrid vehicle.

[0028] The current detection code is generated by packaging the current detection information of each key component in the current cycle during the vehicle driving process based on the diagnostic protocol.

[0029] The key components of hybrid vehicles include: motor controller, electric steering controller, electric pump controller, DCDC controller (Direct Current to Direct Current controller), high-voltage box controller, battery controller, electronic water pump and air conditioning panel. After the key switch of the hybrid vehicle is turned on, each key component in the vehicle performs its own fault detection in a certain detection cycle to obtain the current detection information of the current cycle, and broadcasts its own current detection information to the vehicle controller through the CAN network (Controller Area Network). When the vehicle controller confirms that any key component has a fault in its own fault detection in the current cycle, it packages the current detection information of each key component based on the diagnostic protocol to obtain the current detection code, and the current detection code corresponds to the current cycle. The vehicle controller uploads the current detection code to the safety assessment platform through the telematics box (T-BOX). The safety assessment platform obtains the current detection code from the hybrid vehicle.

[0030] Compared with single-power vehicles, hybrid vehicles have more key components and are more likely to fail. When any key component of a hybrid vehicle fails, the vehicle controller packages the current detection information of each key component based on the diagnostic protocol to obtain the current detection code, and obtains the current detection code through the remote communication box, which can reduce the amount of information transmission and improve information transmission efficiency. Timely acquisition of detection information of each key component of the vehicle supports real-time fault diagnosis and response, improves maintenance efficiency and accuracy, and enhances vehicle safety performance.

[0031] S120: Use the current detection code of the current cycle to update the key component failure statistical information of the vehicle to obtain new key component failure statistical information, and determine the vehicle safety level according to the new key component failure statistical information.

[0032] Based on the diagnostic protocol, the current detection code of the current cycle is parsed to obtain the current detection information of each key component in the current cycle. The current detection information of each key component includes the fault level of each key component in the current cycle; the fault level may include normal, i.e., level 0 fault, indicating that the current key component has not failed in the current cycle. The vehicle's key component failure statistics include each key component and the number of historical failures of each key component at each fault level. The vehicle's key component failure statistics are updated using the current detection information of each key component in the current cycle to obtain new key component failure statistics. When the evaluation cycle is reached, the degree of influence of the number of failures of each key component at each fault level on the safety of the entire vehicle is determined based on the new key component failure statistics, and then the safety of the entire vehicle is determined based on the failure statistics of each key component.

[0033] By classifying the failures of key components according to different levels and counting the number of failures at each level, we can understand the distribution and severity of failures in more detail, and thus more accurately evaluate the safety of the entire vehicle; by comprehensively considering the failure statistics of each key component, we can more comprehensively evaluate the safety performance of the entire vehicle. The safety assessment of the entire vehicle is based on a large amount of failure statistics information, so that the safety assessment of the entire vehicle is based on data support, reducing the uncertainty caused by subjective judgment; with the continuous addition of new failure data, the determination of the safety of the entire vehicle is dynamically adjusted to ensure the timeliness and accuracy of the determination of the safety of the entire vehicle.

[0034] S130. Generate a fault analysis report based on the safety level of the entire vehicle.

[0035] When the vehicle safety is less than the preset value, a fault analysis report is generated for the current vehicle based on the historical data of vehicles with the same working condition. The same working condition includes the same driving environment of the vehicles, such as driving on urban roads, highways or mountain roads; the same climatic conditions, such as similar temperature, humidity or rainfall in the area where the vehicles are located; the same load conditions, such as similar average load and maximum load of the vehicles; or the same frequency of use of the vehicles, such as the same average daily driving time and driving cycle. Based on big data analysis technology, historical analysis data of vehicles with the same working condition is obtained to generate a fault analysis report for the current vehicle. The fault analysis report includes basic vehicle information, predicted overall fault type and risk level of the vehicle, and preventive maintenance recommendations for the vehicle. Among them, the basic vehicle information includes vehicle model, license plate number, vehicle identification number, mileage, service life or main configuration (such as engine type, transmission type or drive mode), etc. Preventive maintenance recommendations for the vehicle include regular inspection or replacement of wearing parts, etc. The vehicle safety and fault analysis report are sent to the vehicle controller to guide the vehicle controller to handle the fault.

[0036] The embodiment of the present invention obtains the current detection code from the hybrid vehicle; uses the current detection code of the current cycle to update the key component failure statistical information of the vehicle to obtain new key component failure statistical information, and determines the vehicle's overall safety based on the new key component failure statistical information; and generates a fault analysis report based on the overall vehicle safety. By obtaining the current detection code, the vehicle's key component failure statistical information can be updated in real time to ensure the timeliness and accuracy of the fault data; based on the real-time updated vehicle key component failure statistical information, the vehicle's fault point can be determined more accurately to reduce misdiagnosis and missed diagnosis, and the potential safety risks of the vehicle can be discovered in time, and corresponding preventive measures can be taken to avoid accidents; optimize vehicle maintenance strategies and reduce maintenance costs; combine big data, artificial intelligence and other technologies to conduct in-depth mining and analysis of fault data, promote the upgrading of fault diagnosis technology, promote the development of vehicle intelligence, and improve the overall safety performance of the vehicle.

[0037] In an optional embodiment, the generating of a fault analysis report based on the safety of the whole vehicle includes: when the safety of the whole vehicle is less than a preset fault domain value, determining the fault analysis report of the current vehicle based on historical fault analysis reports of vehicles under the same working conditions; and sending the safety of the whole vehicle and the fault analysis report of the current vehicle to the current vehicle via a remote communication box, so that the current vehicle issues an alarm reminder.

[0038] Specifically, the vehicle safety, risk warning information and the current vehicle fault analysis report are sent to the vehicle controller of the current vehicle through the remote communication box. The vehicle controller sends the risk warning information to the instrument for display through the CAN communication network and provides continuous voice reminders. This improves driving safety, optimizes the fault diagnosis and repair process, enhances the driving experience, and enhances the reliability and stability of the vehicle.

[0039] In an optional embodiment, the method further includes: when the vehicle key switch is turned off, each current detection code of each current cycle is persistently stored in the permanent memory of the vehicle, and when the current detection code already exists in the permanent memory of the vehicle, the detection number of the current detection code is updated.

[0040] Specifically, when the vehicle key switch is turned off, each current detection code of each current cycle in the vehicle detection cycle is persistently stored in the permanent memory of the vehicle. If the current detection code already exists in the permanent memory of the vehicle, only the number of occurrences of the current detection code is updated. For example, in the previous detection cycle, the current detection code corresponding to the motor controller level 1 fault, the electric steering controller is normal, the electric pump controller is normal, the DCDC controller is normal, the high-voltage box controller is normal, the battery controller is normal, the electronic water pump is normal, and the air conditioning panel is normal has appeared. When the current detection code corresponding to the motor controller level 1 fault, the electric steering controller is normal, the electric pump controller is normal, the DCDC controller is normal, the high-voltage box controller is normal, the battery controller is normal, the electronic water pump is normal, and the air conditioning panel is normal appears again, only the number of occurrences of the current detection code is increased by one to save the storage space of the vehicle's permanent memory. If the permanent memory of the vehicle overflows within a certain period of time or the number of detection codes is greater than the preset value, the vehicle will issue a prompt message of excessive fault frequency when the vehicle is started next time, and all current detection codes in the vehicle's permanent memory and the number of occurrences of the current detection codes will be sent to the safety assessment platform through the remote communication box. For example, if the vehicle's permanent memory overflows or the number of detection codes is greater than 256 within a month, the vehicle controller will send a prompt message to the instrument "The short-term fault frequency is too high, it is recommended to perform maintenance as soon as possible" when the key switch is turned on next time to remind the driver. By storing the current detection information of each key component in the vehicle's permanent memory to obtain the current detection code instead of directly storing the current detection information of each key component, and further merging and storing the same current detection code, the storage space of the vehicle's permanent memory is saved, the limitation on the number of fault codes saved in traditional vehicle fault diagnosis is avoided, and the storage requirements of hybrid vehicle fault detection are met.

[0041] Figure 2 FIG. 2 is a second flow chart of a vehicle safety determination method provided by an embodiment of the present invention. This embodiment is optimized and improved on the basis of the above embodiment. Figure 2 As shown, the method includes:

[0042] S210: Acquire a current detection code from the hybrid vehicle.

[0043] The current detection code is generated by packaging the current detection information of each key component in the current cycle during the vehicle driving process based on the diagnostic protocol.

[0044] S220, parsing the current detection code based on the diagnostic protocol to obtain current detection information of each key component in the current cycle; updating the key component failure statistical information of the vehicle according to the current detection information of each key component to obtain new key component failure statistical information.

[0045] The new key component failure statistics include each key component and the number of failures of each key component at each failure level.

[0046] The safety assessment platform obtains the current detection code of the hybrid vehicle through the remote communication box, parses the current detection code based on the diagnostic protocol, and obtains the current detection information of each key component in the current cycle. The current detection information of each key component includes the fault level of each key component in the current cycle; the fault level may include normal, i.e., level 0 fault, indicating that the current key component has not failed in the current cycle. The vehicle's key component failure statistics include each key component and the number of historical failures of each key component at each fault level. The vehicle's key component failure statistics are updated according to the current detection information of each key component to obtain new key component failure statistics.

[0047] S230 . For each fault level, normalize the number of faults of each key component at the fault level; and determine an influence factor of the fault level according to the normalized number of faults of each key component at the fault level.

[0048] When the evaluation cycle is reached, the number of failures of each key component at each fault level in the new key component failure statistics is normalized. For the number of level 0 failures, that is, the number of times the key component detection result is normal, the number of failures of the key component at the level 0 failure level minus the minimum number of failures of each key component at the level 0 failure level is used for normalization calculation, divided by the maximum number of failures of each key component at the level 0 failure level minus the minimum number of failures of each key component at the level 0 failure level, specifically, the following formula (1) is used for normalization. For the number of failures of non-level 0 failures, the maximum number of failures of each key component at the current fault level minus the number of failures of the key component is used for normalization calculation, divided by the maximum number of failures of each key component at the current fault level minus the minimum number of failures of each key component at the current fault level, specifically, the following formula (2) is used for normalization.

[0049]

[0050]

[0051] Where i represents the i-th key component; j represents the j-th fault level; n represents the number of key components; x ij It represents the normalized failure number of the i-th key component under the j-th fault level.

[0052] The influence factor of the fault level can be determined according to the normalized number of failures of each key component at the fault level through statistical algorithms, such as weighted average method, principal component analysis method, neural network algorithm, support vector machine or other machine learning algorithms. The influence factor of each fault level is used to evaluate the impact of each key component on the safety of the whole vehicle when different fault levels occur.

[0053] S240: Determine a safety assessment score for each key component according to an influencing factor of each fault level and a normalized number of failures of each key component at each fault level.

[0054] S250. Determine the overall vehicle safety level of the vehicle based on the safety assessment scores of the key components.

[0055] For any key component, the normalized failure times of the key component at each fault level are weighted and summed according to the influencing factors of each fault level to obtain the safety assessment score of the key component. The specific calculation method is shown in the following formula (3).

[0056]

[0057] Among them, P j represents the influencing factor of the jth fault level; N represents the number of fault levels; Y i Represents the safety assessment score of the i-th key component.

[0058] The safety assessment scores of each key component are summed up to obtain the vehicle safety level. Specifically, it is shown in the following formula (4).

[0059]

[0060] Among them, n represents the number of key components; S represents the safety of the entire vehicle.

[0061] S260. Generate a fault analysis report based on the safety level of the entire vehicle.

[0062] When the safety degree of the vehicle is less than the preset value, a fault analysis report is generated for the current vehicle based on the historical data of vehicles under the same working conditions.

[0063] The embodiment of the present invention determines the latest impact factor of each fault level through the latest key component failure statistical information, and evaluates the impact of each key component on the safety of the whole vehicle when different fault levels occur through the latest impact factor of each fault level; according to the latest impact factor of each fault level and the normalized number of failures of each key component at each fault level, the safety assessment score of each key component is determined, and then the vehicle safety of the whole vehicle is determined. By classifying the failures of key components according to different levels and counting the number of failures at each level, the distribution and severity of the failures can be understood more carefully, so as to more accurately evaluate the safety of the whole vehicle; by comprehensively considering the failure statistical information of each key component, the safety performance of the whole vehicle can be more comprehensively evaluated. The safety assessment of the whole vehicle is based on a large amount of failure statistical information, so that the safety assessment of the whole vehicle is based on data support, reducing the uncertainty caused by subjective judgment; with the continuous addition of new fault data, the determination of the safety of the whole vehicle is dynamically adjusted to ensure the timeliness and accuracy of the determination of the safety of the whole vehicle.

[0064] In an optional manner, determining the influence factor of the fault level according to the normalized number of failures of each key component at the fault level includes: determining the failure proportion of each key component at the fault level according to the normalized number of failures of each key component at the fault level; determining the logarithmic product of the failure proportions of each key component at the fault level according to the failure proportions of each key component at the fault level; determining the influence of the fault level according to the logarithmic product of the failure proportions of each key component at the fault level and the number of key components; and determining the proportion of the influence of the fault level in the influence of all fault levels as the influence factor of the fault level.

[0065] Specifically, it is shown in the following formulas (5)-(8).

[0066]

[0067] Among them, x ij represents the normalized failure count of the i-th key component at the j-th fault level; n represents the number of key components; k ij It represents the failure proportion of key component i under failure level j.

[0068] T ij =k ij log(k ij ) (6)

[0069]

[0070]

[0071] Where N represents the number of fault levels; n represents the number of key components; j represents the jth fault level; Pj Represents the impact factor of the j-th fault level.

[0072] The influencing factors of the fault level are determined by an optimized entropy calculation method. The normalized number of failures of key components at each fault level is weighted and summed according to the influencing factors of each fault level to obtain the safety assessment score of the key components, and then the safety of the whole vehicle is determined. Based on a large amount of historical and current failure statistics of each key component, the entropy value of each fault level is calculated to evaluate the importance of different fault levels to the safety assessment of the whole vehicle. Compared with traditional subjective judgments or empirical rules, it can more accurately reflect the impact of the failure level of key components on vehicle safety and improve the accuracy of vehicle safety assessment.

[0073] Figure 3 FIG. 1 is a schematic diagram of the structure of a vehicle safety determination device provided by an embodiment of the present invention. Figure 3 As shown, the device comprises:

[0074] The detection code acquisition module 310 is used to acquire the current detection code from the hybrid vehicle; wherein the current detection code is generated by packaging the current detection information of each key component in the current cycle during the vehicle driving process based on the diagnostic protocol;

[0075] The vehicle safety degree determination module 320 is used to update the key component failure statistical information of the vehicle using the current detection code of the current cycle to obtain new key component failure statistical information, and determine the vehicle safety degree of the vehicle according to the new key component failure statistical information;

[0076] The fault analysis module 330 is used to generate a fault analysis report according to the safety level of the entire vehicle.

[0077] The vehicle safety determination device provided in the embodiment of the present invention can execute the vehicle safety determination method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0078] Optionally, the vehicle safety determination module includes:

[0079] A statistical information unit, used to parse the current detection code based on the diagnostic protocol to obtain current detection information of each key component in the current cycle; update the key component failure statistical information of the vehicle according to the current detection information of each key component to obtain new key component failure statistical information; the new key component failure statistical information includes each key component and the number of failures of each key component at each failure level;

[0080] A preprocessing unit, for normalizing the number of failures of each key component at each failure level;

[0081] An impact factor unit, used to determine the impact factor of the fault level according to the normalized number of failures of each key component under the fault level;

[0082] The vehicle safety determination unit is used to determine the safety assessment score of each key component according to the influencing factor of each fault level and the normalized number of failures of each key component under each fault level; and determine the vehicle safety of the vehicle according to the safety assessment score of each key component.

[0083] Optionally, the impact factor unit is specifically used to: determine the failure proportion of each key component at the fault level based on the normalized number of failures of each key component at the fault level; determine the logarithmic product of the failure proportions of each key component at the fault level based on the failure proportions of each key component at the fault level; determine the influence of the fault level based on the logarithmic product of the failure proportions of each key component at the fault level and the number of key components; determine the proportion of the influence of the fault level in the influence of all fault levels as the influence factor of the fault level.

[0084] Optionally, the fault analysis module is specifically used for: when the safety degree of the whole vehicle is less than a preset fault domain value, determining the fault analysis report of the current vehicle based on historical fault analysis reports of vehicles with the same working conditions; sending the safety degree of the whole vehicle and the fault analysis report of the current vehicle to the current vehicle through the remote communication box, so that the current vehicle issues an alarm reminder.

[0085] Optionally, it also includes: a persistence module, which is used to persistently store each current detection code of each current cycle in the vehicle's permanent memory when the vehicle key switch is turned off, and to update the detection times of the current detection code when the current detection code already exists in the vehicle's permanent memory.

[0086] The vehicle safety determination device further described can also execute the vehicle safety determination method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0087] Figure 4 A schematic diagram of the structure of an electronic device 40 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0088] like Figure 4 As shown, the electronic device 40 includes at least one processor 41, and a memory connected to the at least one processor 41, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 41 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 to the random access memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other through a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0089] A number of components in the electronic device 40 are connected to the I / O interface 45, including: an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a disk, an optical disk, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0090] The processor 41 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 41 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, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 41 executes the various methods and processes described above, such as a vehicle safety determination method for a vehicle.

[0091] In some embodiments, the vehicle's whole vehicle safety determination method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 48. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 40 via the ROM 42 and / or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the vehicle's whole vehicle safety determination method described above can be performed. Alternatively, in other embodiments, the processor 41 can be configured to execute the vehicle's whole vehicle safety determination method by any other appropriate means (e.g., by means of firmware).

[0092] 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.

[0093] 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.

[0094] 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.

[0095] 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).

[0096] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations 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 (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0097] 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.

[0098] 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.

[0099] 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 method for determining vehicle safety, characterized in that: The method comprises: Acquire a current detection code from the hybrid vehicle; wherein the current detection code is generated by packaging current detection information of each key component in a current cycle during vehicle driving based on a diagnostic protocol; Using the current detection code of the current cycle to update the key component failure statistical information of the vehicle to obtain new key component failure statistical information, and determining the vehicle safety degree according to the new key component failure statistical information; Generate a fault analysis report based on the safety of the entire vehicle.

2. The method according to claim 1, characterized in that: The method of updating the key component failure statistics of the vehicle using the current detection code of the current cycle to obtain new key component failure statistics, and determining the vehicle safety degree according to the new key component failure statistics, includes: Parsing the current detection code based on the diagnostic protocol to obtain current detection information of each key component in the current cycle; The key component failure statistics of the vehicle are updated according to the current detection information of each key component to obtain new key component failure statistics; the new key component failure statistics include each key component and the number of failures of each key component at each failure level; For each fault level, the number of failures of each key component under the fault level is normalized; Determine the influencing factor of the fault level according to the normalized number of failures of each key component under the fault level; Determine the safety assessment score of each key component based on the influencing factor of each fault level and the normalized number of failures of each key component at each fault level; The overall vehicle safety is determined based on the safety assessment scores of each key component.

3. The method according to claim 2, characterized in that Determining the influencing factor of the fault level according to the normalized number of faults of each key component at the fault level includes: Determine the failure ratio of each key component at the failure level according to the normalized failure number of each key component at the failure level; According to the failure proportion of each key component under the failure level, determine the logarithmic product of the failure proportion of each key component under the failure level; Determine the impact of the fault level according to the product of the logarithm of the fault proportion of each key component under the fault level and the number of key components; The proportion of the influence degree of the fault level in the influence degrees of all fault levels is determined as the influence factor of the fault level.

4. The method according to claim 1, characterized in that: Generate a fault analysis report based on the vehicle safety, including: When the safety degree of the whole vehicle is less than the preset fault domain value, the fault analysis report of the current vehicle is determined according to the historical fault analysis reports of vehicles with the same working condition; The safety of the entire vehicle and the fault analysis report of the current vehicle are sent to the current vehicle through the remote communication box, so that the current vehicle can issue an alarm reminder.

5. The method according to claim 1, characterized in that The method further comprises: When the vehicle key switch is turned off, each current detection code of each current cycle is persistently stored in the permanent memory of the vehicle. When the current detection code already exists in the permanent memory of the vehicle, the detection times of the current detection code are updated.

6. A vehicle safety determination device, characterized in that: The device comprises: A detection code acquisition module is used to obtain a current detection code from the hybrid vehicle; wherein the current detection code is generated by packaging current detection information of each key component in the current cycle during the vehicle's driving process based on a diagnostic protocol; A vehicle safety determination module is used to update the key component failure statistics of the vehicle using the current detection code of the current cycle to obtain new key component failure statistics, and determine the vehicle safety of the vehicle according to the new key component failure statistics; The fault analysis module is used to generate a fault analysis report based on the safety of the entire vehicle.

7. The device according to claim 5, characterized in that The vehicle safety determination module comprises: A statistical information unit, used to parse the current detection code based on the diagnostic protocol to obtain current detection information of each key component in the current cycle; update the key component failure statistical information of the vehicle according to the current detection information of each key component to obtain new key component failure statistical information; the new key component failure statistical information includes each key component and the number of failures of each key component at each failure level; A preprocessing unit, for normalizing the number of failures of each key component at each failure level; An impact factor unit, used to determine the impact factor of the fault level according to the normalized number of failures of each key component under the fault level; The vehicle safety determination unit is used to determine the safety assessment score of each key component according to the influencing factor of each fault level and the normalized number of failures of each key component under each fault level; and determine the vehicle safety of the vehicle according to the safety assessment score of each key component.

8. The device according to claim 7, characterized in that The impact factor unit is specifically used for: Determine the failure ratio of each key component at the failure level according to the normalized failure number of each key component at the failure level; According to the failure proportion of each key component under the failure level, determine the logarithmic product of the failure proportion of each key component under the failure level; Determine the impact of the fault level according to the product of the logarithm of the fault proportion of each key component under the fault level and the number of key components; The proportion of the influence degree of the fault level in the influence degrees of all fault levels is determined as the influence factor of the fault level.

9. An electronic device, characterized in that: The electronic device comprises: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the vehicle safety determination method of any one of claims 1-5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the vehicle safety determination method of any one of claims 1-5 when executed.

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