CN112559277A - Crash information processing method, system, vehicle-mounted device, server, electronic device and storage medium - Google Patents
Crash information processing method, system, vehicle-mounted device, server, electronic device and storage medium Download PDFInfo
- Publication number
- CN112559277A CN112559277A CN201910912196.4A CN201910912196A CN112559277A CN 112559277 A CN112559277 A CN 112559277A CN 201910912196 A CN201910912196 A CN 201910912196A CN 112559277 A CN112559277 A CN 112559277A
- Authority
- CN
- China
- Prior art keywords
- crash
- information
- unmanned vehicle
- server
- log information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 28
- 230000010365 information processing Effects 0.000 title description 10
- 230000007613 environmental effect Effects 0.000 claims description 42
- 238000000034 method Methods 0.000 claims description 32
- 238000012545 processing Methods 0.000 claims description 30
- 230000015654 memory Effects 0.000 claims description 18
- 238000012544 monitoring process Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 5
- 238000004088 simulation Methods 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 abstract description 11
- 238000010586 diagram Methods 0.000 description 10
- 230000005540 biological transmission Effects 0.000 description 6
- 230000003993 interaction Effects 0.000 description 6
- 230000002159 abnormal effect Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000006399 behavior Effects 0.000 description 3
- 230000015556 catabolic process Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 206010063385 Intellectualisation Diseases 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000001413 cellular effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001151 other effect Effects 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
- G06F11/3072—Monitoring arrangements determined by the means or processing involved in reporting the monitored data where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0766—Error or fault reporting or storing
- G06F11/0778—Dumping, i.e. gathering error/state information after a fault for later diagnosis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Debugging And Monitoring (AREA)
Abstract
According to the processing method and system for the crash information, the vehicle-mounted equipment, the server, the electronic equipment and the storage medium, the directory file stored with the crash information is monitored through the vehicle-mounted equipment so as to determine whether the unmanned vehicle program crashes; when the unmanned vehicle program collapses, the vehicle-mounted equipment determines collapse occurrence time according to the collapse information, uploads log information and environment data in a preset time period before the collapse occurrence time to the server, the server reproduces a collapse scene of the unmanned vehicle program when the unmanned vehicle program collapses according to the environment data, and determines a collapse reason of the unmanned vehicle program in the collapse scene according to the log information and the collapse information, so that the obtaining efficiency of the collapse information and the analysis efficiency of the collapse reason are effectively improved.
Description
Technical Field
The present disclosure relates to multimedia technologies, and in particular, to a method and a system for processing crash information, a vehicle-mounted device, a server, an electronic device, and a storage medium.
Background
With the development of intellectualization, the intelligent unmanned vehicle can gradually enter the life of people together with the unmanned vehicle based on the unmanned technology.
In the prior art, when the unmanned vehicle program operated by the unmanned vehicle is abnormal and is in a collapse state, the unmanned vehicle program automatically writes collapse information into a core file of the unmanned vehicle. The maintenance personnel can call the crash information from the core file of the unmanned vehicle in a query mode so as to determine the crash reason of the unmanned vehicle program.
However, the conventional crash information is called by manually inputting a query command by a maintenance worker, and the flow of the checking mode is complicated, the calling efficiency of the crash information is low, and the analysis efficiency of the abnormal analysis of the unmanned vehicle program is greatly influenced.
Disclosure of Invention
In order to solve the technical problem, the present disclosure provides a processing method and system of crash information, a vehicle-mounted device, a server, an electronic device, and a storage medium.
In a first aspect, the present disclosure provides a method for processing crash information, including:
monitoring the directory file stored with the crash information to determine whether the unmanned vehicle program crashes or not;
when the unmanned vehicle program is crashed, determining the time of the crash according to the crash information;
and uploading the log information and the environmental data in a preset time period before the collapse occurrence time to a server, so that the server reproduces a collapse scene of the unmanned vehicle program in the event of collapse according to the environmental data, and determining the collapse reason of the unmanned vehicle program in the collapse scene according to the log information and the collapse information.
In a second aspect, the present disclosure provides a method for processing crash information, including:
receiving crash information, log information and environmental data sent by vehicle-mounted equipment of an unmanned vehicle, wherein the crash information, the log information and the environmental data are sent by the vehicle-mounted equipment when determining that the unmanned vehicle program crashes;
reproducing a crash scene of the unmanned vehicle program when the unmanned vehicle program crashes according to the environment data;
and determining the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information.
In a third aspect, the present disclosure provides an in-vehicle apparatus, comprising:
the monitoring unit is used for monitoring the directory file stored with the crash information so as to determine whether the unmanned vehicle program crashes or not;
the first processing unit is used for determining the collapse occurrence time according to the collapse information when the unmanned vehicle program collapses; and the system is also used for uploading the log information and the environmental data in a preset time period before the crash occurrence time to the server, so that the server can reproduce a crash scene of the unmanned vehicle program in the crash occurrence according to the environmental data, and determine the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information.
In a fourth aspect, the present disclosure provides a server comprising:
the system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving crash information, log information and environment data sent by vehicle-mounted equipment of an unmanned vehicle, and the crash information, the log information and the environment data are sent by the vehicle-mounted equipment when the vehicle-mounted equipment determines that the unmanned vehicle program crashes;
the second processing unit is used for reproducing a crash scene of the unmanned vehicle program when the crash happens according to the environment data; and determining the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information.
In a fifth aspect, the present disclosure provides a crash information processing system, including: a server and a vehicle-mounted device;
the vehicle-mounted equipment is arranged on an unmanned vehicle, carries an unmanned vehicle program and is used for executing the method of the crash information;
the server and the vehicle-mounted equipment are communicated through a network and used for executing the method of the crash information.
In a sixth aspect, the present disclosure provides an electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any of the methods described above.
In a seventh aspect, the present disclosure provides a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform any of the methods described above.
According to the processing method and system for the crash information, the vehicle-mounted equipment, the server, the electronic equipment and the storage medium, the directory file stored with the crash information is monitored through the vehicle-mounted equipment so as to determine whether the unmanned vehicle program crashes; when the unmanned vehicle program crashes, the vehicle-mounted equipment determines crash occurrence time according to crash information, uploads log information and environment data in a preset time period before the crash occurrence time to the server, the server reproduces a crash scene of the unmanned vehicle program when the unmanned vehicle program crashes according to the environment data, and determines a crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information. Compared with the mode that crash information is manually called to determine the cause of the crash based on the crash information in the prior art, the crash state of the unmanned vehicle program is monitored in real time, and corresponding crash information and other information are actively provided for the server when the unmanned vehicle program crashes, so that the server can quickly determine the cause of the crash of the unmanned vehicle program, and therefore the obtaining efficiency of the crash information and the analysis efficiency of the cause of the crash are effectively improved.
Other effects of the above-described alternative will be described below with reference to specific embodiments.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is a schematic diagram of a hardware architecture of a crash information processing system provided by the present disclosure;
FIG. 2 is a flow chart of a method for processing crash information provided by the present disclosure;
FIG. 3 is a flow chart illustrating another crash information processing method provided by the present disclosure;
FIG. 4 is a schematic diagram of a display interface in a method for processing crash information according to the present disclosure;
FIG. 5 is a schematic structural diagram of an in-vehicle device provided by the present disclosure;
FIG. 6 is a schematic diagram of a server according to the present disclosure;
fig. 7 is a block diagram of an electronic device provided by the present disclosure and used to implement a method for processing crash information according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
With the development of intellectualization, the intelligent unmanned vehicle can gradually enter the life of people together with the unmanned vehicle based on the unmanned technology.
In the prior art, when the unmanned vehicle program operated by the unmanned vehicle is abnormal and is in a collapse state, the unmanned vehicle program automatically writes collapse information into a core file of the unmanned vehicle. The maintenance personnel can call the crash information from the core file of the unmanned vehicle in a query mode so as to determine the crash reason of the unmanned vehicle program.
However, the conventional crash information is called by manually inputting a query command by a maintenance worker, and the flow of the checking mode is complicated, the calling efficiency of the crash information is low, and the analysis efficiency of the abnormal analysis of the unmanned vehicle program is greatly influenced.
In order to solve the problem, the disclosure provides a processing method and system of crash information, a vehicle-mounted device, a server, an electronic device and a storage medium. Compared with the mode that crash information is manually called to determine the cause of the crash based on the crash information in the prior art, the crash state of the unmanned vehicle program is monitored in real time, and corresponding crash information and other information are actively provided for the server when the unmanned vehicle program crashes, so that the server can quickly determine the cause of the crash of the unmanned vehicle program, and therefore the obtaining efficiency of the crash information and the analysis efficiency of the cause of the crash are effectively improved.
Fig. 1 is a schematic hardware structure diagram of a processing system of crash information provided by the present disclosure, and as shown in fig. 1, the processing system of crash information provided by the present disclosure may include a server 1 and an in-vehicle device 2; the vehicle-mounted device 2 is arranged on an unmanned vehicle, and the vehicle-mounted device 2 carries an unmanned vehicle program. Specifically, the vehicle-mounted device 2 may be an entity device such as a vehicle-mounted computer of the unmanned vehicle, a vehicle-mounted mobile terminal, and the like, and may be specifically configured to load the unmanned vehicle driving task given by the server 1 or the unmanned vehicle driving task given by another terminal, and control the unmanned vehicle to execute the unmanned vehicle driving task.
The server 1 is specifically a server group or a server cluster arranged at the cloud end, and can communicate with the vehicle-mounted device through a network to realize data interaction and information interaction between the server group and the vehicle-mounted device. In addition, in order to facilitate the user to obtain information, the server 1 may further be provided with a corresponding information output interface or information display interface, so that the user can obtain information output or displayed by the server 1.
It should be noted that the manner shown in fig. 1 is only one of the structural architectural manners provided by the present disclosure, and the architecture thereof will vary accordingly based on different device types and different environment layouts.
In a first aspect, the present disclosure provides a method for processing crash information, and fig. 2 is a schematic flow chart of the method for processing crash information provided by the present disclosure.
As shown in fig. 2, the processing method includes:
The execution main body of the crash information processing method provided by the disclosed example is a vehicle-mounted device, wherein the vehicle-mounted device may specifically be composed of various types of hardware devices, such as a processor, a communicator, an information collector, a sensor, and the like. Different hardware devices play respective functions in the implementation process of the processing method so as to realize the processing method provided by the disclosure.
Specifically, firstly, an unmanned vehicle program can be operated in the vehicle-mounted device, and the unmanned vehicle program is preset in the vehicle-mounted device of the unmanned vehicle and can be sent to the vehicle-mounted device of the unmanned vehicle by other terminals or servers for installation and execution. Generally, when an operating unmanned vehicle program is abnormally operated, a problem of program breakdown occurs, and when the program breakdown occurs, generated breakdown information is stored in a directory file in the vehicle-mounted device. The crash information records crash time of the unmanned vehicle program, program process information when the crash occurs, crash results, and the like.
The vehicle-mounted equipment provided by the disclosure is provided with a directory file, and the directory file can be used for storing crash information generated when the unmanned vehicle program crashes. The vehicle-mounted equipment monitors the directory file, so that whether the unmanned vehicle program crashes or not can be effectively monitored.
And 102, when the unmanned vehicle program is crashed, determining the time of the crash according to the crash information.
Specifically, when the vehicle-mounted device finds that crash information is newly added to the directory file, it indicates that the unmanned vehicle program crashes, and at this time, the vehicle-mounted device determines crash occurrence time when the unmanned vehicle program crashes based on the newly added crash information.
And 103, uploading the log information and the environmental data in a preset time period before the crash occurrence time to a server, so that the server reproduces a crash scene of the unmanned vehicle program in the crash occurrence according to the environmental data, and determining the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information.
Specifically, since only the information related to the unmanned vehicle program is stored in the crash information, when the server determines the cause of the crash of the unmanned vehicle program, it is necessary to consider the operation state of the unmanned vehicle program and the operation state of the unmanned vehicle.
Therefore, in the present disclosure, the in-vehicle device needs not only to upload the crash information to the server, but also to upload the log information and the environmental data together within a preset time period before the time of occurrence of the crash to the server. The log information and the environmental data are also information stored in the in-vehicle apparatus.
The log information is used for representing the running state of the unmanned vehicle program in a preset time period before the collapse occurrence time, namely the program running state;
and the environment data is used to represent the driving state of the unmanned vehicle within a preset time period before the time of occurrence of the crash, such as playback packets, voice information, image information, vehicle behavior, sensor parameters, and the like.
Optionally, in the present disclosure, different data transmission manners may be adopted for the crash information, the log information, and the environment data. Specifically, as for the crash information, due to the strong timeliness, the crash information can be sent to the server in a real-time transmission or real-time synchronization mode, so that the server can quickly know the crash event of the unmanned vehicle program. For the log information and the environmental data, because of the information transmitted in the present disclosure within a period of time, the data volume of the log information and the environmental data is large, and for the log information and the environmental data, the log information and the environmental data can be transmitted to the server in an asynchronous transmission mode.
Furthermore, because different transmission modes are adopted for the crash information, the log information and the environment data, in order to facilitate the server to correspond the information so as to analyze the crash reason of a certain unmanned vehicle program, the crash information, the log information and the environment data which are sent to the server by the vehicle-mounted terminal respectively comprise the identification of the unmanned vehicle. The server can associate the crash information, the log information and the environmental data which are received at different times by using the identification of the unmanned vehicle so as to store the crash information, the log information and the environmental data, so that the subsequent determination of the crash reason is facilitated.
According to the processing method of the crash information, the directory file stored with the crash information is monitored through the vehicle-mounted equipment, so that whether the unmanned vehicle program crashes or not is determined; when the unmanned vehicle program crashes, the vehicle-mounted equipment determines crash occurrence time according to crash information, uploads log information and environment data in a preset time period before the crash occurrence time to the server, the server reproduces a crash scene of the unmanned vehicle program when the unmanned vehicle program crashes according to the environment data, and determines a crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information. Compared with the mode that crash information is manually called to determine the cause of the crash based on the crash information in the prior art, the crash state of the unmanned vehicle program is monitored in real time, and corresponding crash information and other information are actively provided for the server when the unmanned vehicle program crashes, so that the server can quickly determine the cause of the crash of the unmanned vehicle program, and therefore the obtaining efficiency of the crash information and the analysis efficiency of the cause of the crash are effectively improved.
On the basis of the foregoing examples, fig. 3 is a flowchart illustrating another processing method for crash information provided by the present disclosure. As shown in fig. 3, the method for processing crash information includes:
An execution main body of the crash information processing method provided by the example of the disclosure is a server, wherein the server is specifically a server group or a server cluster arranged in a cloud, and the server can communicate with a vehicle-mounted device through a network to realize data interaction and information interaction between the server group and the vehicle-mounted device. In addition, in order to facilitate the user to acquire information, the server can be further provided with a corresponding information output interface or an information display interface, so that the user can acquire the information output or displayed by the server.
Similar to the foregoing example, first, an unmanned vehicle program may be run in the vehicle-mounted device, and the unmanned vehicle program is preset in the vehicle-mounted device of the unmanned vehicle, and may be sent to the vehicle-mounted device of the unmanned vehicle by another terminal or a server for installation and execution thereof. When the vehicle-mounted equipment finds that the unmanned vehicle program is crashed, crash information, log information and environment data can be uploaded to the server.
Optionally, the server receives not only the crash information uploaded by the vehicle-mounted device, but also log information and environmental data within a preset time period before the crash occurrence time. The log information and the environmental data are also information stored in the in-vehicle apparatus. Wherein, the crash information records the crash time of the unmanned vehicle program, the program process information when the crash occurs, the crash result and the like; the log information is used for representing the running state of the unmanned vehicle program in a preset time period before the collapse occurrence time, namely the program running state; and the environment data is used to represent the driving state of the unmanned vehicle within a preset time period before the time of occurrence of the crash, such as playback packets, voice information, image information, vehicle behavior, sensor parameters, and the like.
Optionally, in the present disclosure, different data transmission manners may be adopted for the crash information, the log information, and the environment data. Specifically, for the crash information, the server is obtained in a real-time receiving manner due to the high timeliness of the crash information. For the log information and the environmental data, due to the information transmitted in the present disclosure for a period of time, the data volumes of the log information and the environmental data are large, and for both, the server is acquired by asynchronous reception.
Furthermore, because different transmission modes are adopted for the crash information, the log information and the environment data, in order to facilitate the server to correspond the information so as to analyze the crash reason of a certain unmanned vehicle program, the crash information, the log information and the environment data which are sent to the server by the vehicle-mounted terminal respectively comprise the identification of the unmanned vehicle. The server can associate the crash information, the log information and the environmental data which are received at different times by using the identification of the unmanned vehicle so as to store the crash information, the log information and the environmental data, so that the subsequent determination of the crash reason is facilitated. Namely, the server stores the crash information, the log information and the environment data with consistent identifications in an associated manner according to the received crash information, the received log information and the identifications carried in the environment data
and 203, determining the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information.
In the processing method provided by the present disclosure, when the server determines the cause of the crash of the unmanned vehicle program, the operating state of the unmanned vehicle program and the operating state of the unmanned vehicle also need to be considered.
Specifically, the environment data includes playback packets of the unmanned vehicle during travel, voice information, image information, vehicle behavior, sensor parameters, and the like. The server may invoke the simulation platform to cause the simulation platform to simulate a formal state of the unmanned vehicle within a preset time period before the time of the crash occurrence based on the environmental data. That is to say, the server calls the simulation platform to restore the driving states such as the speed of the unmanned vehicle, the road condition of the driving road, the driving track and the like according to the environment data, so that the crash reason of the unmanned vehicle program in the driving state, which is caused by the abnormal crash, can be conveniently determined.
In addition, in order to facilitate the user to check the crash reason and various types of information related to the crash, the server calls a presentation platform to present the crash information and the log information on the presentation platform.
Fig. 4 is a schematic view of a display interface in the crash information processing method provided by the present disclosure, and as shown in fig. 4, the display platform may display the received crash information, which includes a program error portion, that is, a step to which the program is executed, where an exception occurs; the presentation platform can also present the log information. By using the display platform, various kinds of information related to crash of the unmanned vehicle program can be quickly acquired, so that the crash reason can be determined according to the displayed crash information and log information.
According to the processing method of the crash information, the directory file stored with the crash information is monitored through the vehicle-mounted equipment, so that whether the unmanned vehicle program crashes or not is determined; when the unmanned vehicle program crashes, the vehicle-mounted equipment determines crash occurrence time according to crash information, uploads log information and environment data in a preset time period before the crash occurrence time to the server, the server reproduces a crash scene of the unmanned vehicle program when the unmanned vehicle program crashes according to the environment data, and determines a crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information. Compared with the mode that crash information is manually called to determine the cause of the crash based on the crash information in the prior art, the crash state of the unmanned vehicle program is monitored in real time, and corresponding crash information and other information are actively provided for the server when the unmanned vehicle program crashes, so that the server can quickly determine the cause of the crash of the unmanned vehicle program, and therefore the obtaining efficiency of the crash information and the analysis efficiency of the cause of the crash are effectively improved.
In a second aspect, the present disclosure provides an in-vehicle apparatus, and fig. 5 is a schematic structural diagram of an in-vehicle apparatus provided by the present disclosure.
As shown in fig. 5, the in-vehicle apparatus includes:
the monitoring unit 10 is used for monitoring the directory file stored with the crash information so as to determine whether the unmanned vehicle program crashes;
the first processing unit 20 is used for determining the crash occurrence time according to the crash information when the unmanned vehicle program crashes; and the system is also used for uploading the log information and the environmental data in a preset time period before the crash occurrence time to the server, so that the server can reproduce a crash scene of the unmanned vehicle program in the crash occurrence according to the environmental data, and determine the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information.
In an optional example, the first processing unit 20 is specifically configured to synchronously transmit the crash information to a server in real time, and is further configured to asynchronously transmit the log information and the environment data to the server.
Optionally, the log information is used to indicate an operation state of the unmanned vehicle program in a preset time period before the time of occurrence of the crash; the environment data is used for representing the driving state of the unmanned vehicle in a preset time period before the collapse occurrence time.
Optionally, the crash information, the log information, and the environmental data respectively include an identifier of an unmanned vehicle;
the identification of the unmanned vehicle is used for uploading the crash information, the log information and the environmental data to a server respectively, so that the server can store the crash information, the log information and the environmental data with consistent identifications in an associated manner.
According to the vehicle-mounted equipment, the directory file stored with the crash information is monitored through the vehicle-mounted equipment so as to determine whether the unmanned vehicle program crashes; when the unmanned vehicle program crashes, the vehicle-mounted equipment determines crash occurrence time according to crash information, uploads log information and environment data in a preset time period before the crash occurrence time to the server, the server reproduces a crash scene of the unmanned vehicle program when the unmanned vehicle program crashes according to the environment data, and determines a crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information. Compared with the mode that crash information is manually called to determine the cause of the crash based on the crash information in the prior art, the crash state of the unmanned vehicle program is monitored in real time, and corresponding crash information and other information are actively provided for the server when the unmanned vehicle program crashes, so that the server can quickly determine the cause of the crash of the unmanned vehicle program, and therefore the obtaining efficiency of the crash information and the analysis efficiency of the cause of the crash are effectively improved.
In a third aspect, the present disclosure provides a server, and fig. 6 is a schematic structural diagram of a server provided by the present disclosure.
As shown in fig. 6, the server includes:
the receiving unit 30 is configured to receive crash information, log information and environment data sent by vehicle-mounted equipment of the unmanned vehicle, where the crash information, the log information and the environment data are sent by the vehicle-mounted equipment when it is determined that the unmanned vehicle program crashes;
the second processing unit 40 is used for reproducing a crash scene of the unmanned vehicle program when the crash happens according to the environment data; and determining the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information.
In an optional example, the log information is used for representing the running state of the unmanned vehicle program in a preset time period before the crash occurrence time; the environment data is used for representing the driving state of the unmanned vehicle in a preset time period before the collapse occurrence time;
the second processing unit 40 is specifically configured to invoke a simulation platform to simulate a driving state of the unmanned vehicle within a preset time period before the time of occurrence of the crash according to the environment data; and the crash monitoring system is also used for calling a display platform to display the crash information and the log information so as to determine the crash reason according to the displayed crash information and the log information.
Optionally, the crash information, the log information, and the environmental data respectively include an identification of an unmanned vehicle;
the receiving unit 30 is specifically configured to perform associated storage on the crash information, the log information, and the environment data with consistent identifiers according to the received crash information, the received log information, and the identifiers carried in the environment data.
According to the server, the directory file stored with the crash information is monitored through the vehicle-mounted equipment, so that whether the unmanned vehicle program crashes or not is determined; when the unmanned vehicle program crashes, the vehicle-mounted equipment determines crash occurrence time according to crash information, uploads log information and environment data in a preset time period before the crash occurrence time to the server, the server reproduces a crash scene of the unmanned vehicle program when the unmanned vehicle program crashes according to the environment data, and determines a crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information. Compared with the mode that crash information is manually called to determine the cause of the crash based on the crash information in the prior art, the crash state of the unmanned vehicle program is monitored in real time, and corresponding crash information and other information are actively provided for the server when the unmanned vehicle program crashes, so that the server can quickly determine the cause of the crash of the unmanned vehicle program, and therefore the obtaining efficiency of the crash information and the analysis efficiency of the cause of the crash are effectively improved.
In a fourth aspect, the present disclosure provides a crash information processing system, and fig. 1 is a schematic hardware structure diagram of the crash information processing system provided in the present disclosure. As shown in fig. 1, the processing system includes a server 1 and an in-vehicle apparatus 2;
the vehicle-mounted device 2 is arranged on an unmanned vehicle, and carries an unmanned vehicle program therein, and the vehicle-mounted device is used for executing the method of the crash information shown in fig. 2;
the server 1 communicates with the in-vehicle apparatus 2 via a network and is used for the method of crash information shown in fig. 4.
The present disclosure also provides an electronic device and a readable storage medium according to an embodiment of the present disclosure.
As shown in fig. 7, it is a block diagram of an electronic device of a processing method of crash information according to an embodiment of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 7, the electronic apparatus includes: one or more processors 701, a memory 702, and interfaces for connecting the various components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 7, one processor 701 is taken as an example.
The memory 702 is a non-transitory computer readable storage medium provided by the present disclosure. Wherein the memory stores instructions executable by at least one processor to cause the at least one processor to perform the method for processing crash information provided by the present disclosure. The non-transitory computer-readable storage medium of the present disclosure stores computer instructions for causing a computer to execute the processing method of crash information provided by the present disclosure.
The memory 702 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the electronic device of the processing method of the crash information, and the like. Further, the memory 702 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 702 may optionally include memory located remotely from the processor 701, which may be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the internet, an intranet, a lan, a mobile 702, an input device 703, and an output device 704, which may be connected by a bus or otherwise, as exemplified by the connection via a bus in fig. 7.
The input device 703 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic apparatus for the processing method of crash information, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, or other input devices. The output devices 704 may include a display device, auxiliary lighting devices (e.g., LEDs), and tactile feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can 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, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (12)
1. A method for processing crash information, comprising:
monitoring the directory file stored with the crash information to determine whether the unmanned vehicle program crashes or not;
when the unmanned vehicle program is crashed, determining the time of the crash according to the crash information;
and uploading the log information and the environmental data in a preset time period before the collapse occurrence time to a server, so that the server reproduces a collapse scene of the unmanned vehicle program in the event of collapse according to the environmental data, and determining the collapse reason of the unmanned vehicle program in the collapse scene according to the log information and the collapse information.
2. The processing method according to claim 1, wherein the uploading log information and environment data within a preset time period before the crash occurrence time to a server comprises:
synchronously transmitting the crash information to a server in real time;
and asynchronously transmitting the log information and the environment data to a server.
3. The processing method according to claim 1, wherein the log information is used for representing an operation state of the unmanned vehicle program within a preset time period before a crash occurrence time; the environment data is used for representing the driving state of the unmanned vehicle in a preset time period before the collapse occurrence time.
4. The processing method of any of claims 1-3, wherein the crash information, the log information, and the environmental data each comprise an identification of an unmanned vehicle;
the identification of the unmanned vehicle is used for uploading the crash information, the log information and the environmental data to a server respectively, so that the server can store the crash information, the log information and the environmental data with consistent identifications in an associated manner.
5. A method for processing crash information, comprising:
receiving crash information, log information and environmental data sent by vehicle-mounted equipment of an unmanned vehicle, wherein the crash information, the log information and the environmental data are sent by the vehicle-mounted equipment when determining that the unmanned vehicle program crashes;
reproducing a crash scene of the unmanned vehicle program when the unmanned vehicle program crashes according to the environment data;
and determining the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information.
6. The processing method according to claim 5, wherein the log is used for representing the running state of the unmanned vehicle program in a preset time period before the time of occurrence of the crash; the environment data is used for representing the driving state of the unmanned vehicle in a preset time period before the collapse occurrence time;
the method for reproducing the crash scene of the unmanned vehicle program when the unmanned vehicle program crashes according to the environment data comprises the following steps:
calling a simulation platform to simulate the running state of the unmanned vehicle in a preset time period before the collapse occurrence time according to the environment data;
the determining the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information comprises the following steps:
and calling a display platform to display the crash information and the log information so as to determine the crash reason according to the displayed crash information and the log information.
7. The processing method of claim 5 or 6, wherein the crash information, the log information, and the environmental data each comprise an identification of an unmanned vehicle;
the crash information, the log information and the environmental data sent by the vehicle-mounted equipment of the unmanned vehicle are received, and the method comprises the following steps:
and performing associated storage on the crash information, the log information and the environmental data with consistent identifiers according to the received crash information, the received log information and the identifiers carried in the environmental data.
8. An in-vehicle apparatus, characterized by comprising:
the monitoring unit is used for monitoring the directory file stored with the crash information so as to determine whether the unmanned vehicle program crashes or not;
the first processing unit is used for determining the collapse occurrence time according to the collapse information when the unmanned vehicle program collapses; and the system is also used for uploading the log information and the environmental data in a preset time period before the crash occurrence time to the server, so that the server can reproduce a crash scene of the unmanned vehicle program in the crash occurrence according to the environmental data, and determine the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information.
9. A server, comprising:
the system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving crash information, log information and environment data sent by vehicle-mounted equipment of an unmanned vehicle, and the crash information, the log information and the environment data are sent by the vehicle-mounted equipment when the vehicle-mounted equipment determines that the unmanned vehicle program crashes;
the second processing unit is used for reproducing a crash scene of the unmanned vehicle program when the crash happens according to the environment data; and determining the crash reason of the unmanned vehicle program in the crash scene according to the log information and the crash information.
10. A system for handling crash information, comprising: a server and a vehicle-mounted device;
the vehicle-mounted equipment is arranged on an unmanned vehicle, carries an unmanned vehicle program and is used for executing the crash information method of any one of claims 1-4;
the server is in communication with the vehicle-mounted device through a network and is configured to execute the crash information method of any one of claims 5-7.
11. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910912196.4A CN112559277A (en) | 2019-09-25 | 2019-09-25 | Crash information processing method, system, vehicle-mounted device, server, electronic device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910912196.4A CN112559277A (en) | 2019-09-25 | 2019-09-25 | Crash information processing method, system, vehicle-mounted device, server, electronic device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112559277A true CN112559277A (en) | 2021-03-26 |
Family
ID=75029340
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910912196.4A Pending CN112559277A (en) | 2019-09-25 | 2019-09-25 | Crash information processing method, system, vehicle-mounted device, server, electronic device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112559277A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115842762A (en) * | 2021-08-30 | 2023-03-24 | 青岛海尔科技有限公司 | Equipment debugging method, device and system |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6247023B1 (en) * | 1998-07-21 | 2001-06-12 | Internationl Business Machines Corp. | Method for providing database recovery across multiple nodes |
| US20050065667A1 (en) * | 2001-11-06 | 2005-03-24 | Johannes Wolfgang Weineck And Bernhard Klein | Monitoring and control system for manned vehicles |
| CN103019879A (en) * | 2013-01-07 | 2013-04-03 | 北京奇虎科技有限公司 | Method and system for processing crash information of browser |
| CN103077108A (en) * | 2013-01-07 | 2013-05-01 | 北京奇虎科技有限公司 | Method and system for warning browser crash |
| KR20150106605A (en) * | 2014-03-12 | 2015-09-22 | 네오트랜스 주식회사 | Real-time monitoring system of station control apparatus and monitoring method thereof |
| CN105183576A (en) * | 2015-09-21 | 2015-12-23 | 上海斐讯数据通信技术有限公司 | Method and system for collecting abnormal information after embedded OLT collapses |
| CN107102928A (en) * | 2017-04-18 | 2017-08-29 | 广州视源电子科技股份有限公司 | Application crash information reporting method and device |
| US20170309086A1 (en) * | 2016-04-22 | 2017-10-26 | Baidu Online Network Technology (Beijing) Co., Ltd. | Method and apparatus for rescuing driverless vehicles |
| CN107391357A (en) * | 2017-08-17 | 2017-11-24 | 杭州师范大学 | Application crashes replay method, device and mobile terminal |
| CN107491383A (en) * | 2017-08-17 | 2017-12-19 | 杭州师范大学 | Catching method, device and the mobile terminal of application crashes Operation Log |
| US9922286B1 (en) * | 2017-08-18 | 2018-03-20 | Diveplane Corporation | Detecting and correcting anomalies in computer-based reasoning systems |
| CN109522198A (en) * | 2018-11-26 | 2019-03-26 | 北京微播视界科技有限公司 | Processing method, device, electronic equipment and the readable storage medium storing program for executing of application program |
| CN109788030A (en) * | 2018-12-17 | 2019-05-21 | 北京百度网讯科技有限公司 | Unmanned vehicle data processing method, device, system and storage medium |
| CN110083161A (en) * | 2019-05-16 | 2019-08-02 | 广州文远知行科技有限公司 | Remote take-over method, device, equipment and storage medium for unmanned vehicle |
-
2019
- 2019-09-25 CN CN201910912196.4A patent/CN112559277A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6247023B1 (en) * | 1998-07-21 | 2001-06-12 | Internationl Business Machines Corp. | Method for providing database recovery across multiple nodes |
| US20050065667A1 (en) * | 2001-11-06 | 2005-03-24 | Johannes Wolfgang Weineck And Bernhard Klein | Monitoring and control system for manned vehicles |
| CN103019879A (en) * | 2013-01-07 | 2013-04-03 | 北京奇虎科技有限公司 | Method and system for processing crash information of browser |
| CN103077108A (en) * | 2013-01-07 | 2013-05-01 | 北京奇虎科技有限公司 | Method and system for warning browser crash |
| KR20150106605A (en) * | 2014-03-12 | 2015-09-22 | 네오트랜스 주식회사 | Real-time monitoring system of station control apparatus and monitoring method thereof |
| CN105183576A (en) * | 2015-09-21 | 2015-12-23 | 上海斐讯数据通信技术有限公司 | Method and system for collecting abnormal information after embedded OLT collapses |
| US20170309086A1 (en) * | 2016-04-22 | 2017-10-26 | Baidu Online Network Technology (Beijing) Co., Ltd. | Method and apparatus for rescuing driverless vehicles |
| CN107102928A (en) * | 2017-04-18 | 2017-08-29 | 广州视源电子科技股份有限公司 | Application crash information reporting method and device |
| CN107391357A (en) * | 2017-08-17 | 2017-11-24 | 杭州师范大学 | Application crashes replay method, device and mobile terminal |
| CN107491383A (en) * | 2017-08-17 | 2017-12-19 | 杭州师范大学 | Catching method, device and the mobile terminal of application crashes Operation Log |
| US9922286B1 (en) * | 2017-08-18 | 2018-03-20 | Diveplane Corporation | Detecting and correcting anomalies in computer-based reasoning systems |
| CN109522198A (en) * | 2018-11-26 | 2019-03-26 | 北京微播视界科技有限公司 | Processing method, device, electronic equipment and the readable storage medium storing program for executing of application program |
| CN109788030A (en) * | 2018-12-17 | 2019-05-21 | 北京百度网讯科技有限公司 | Unmanned vehicle data processing method, device, system and storage medium |
| CN110083161A (en) * | 2019-05-16 | 2019-08-02 | 广州文远知行科技有限公司 | Remote take-over method, device, equipment and storage medium for unmanned vehicle |
Non-Patent Citations (2)
| Title |
|---|
| YIFENG XU ET AL: "Learning to see the Hidden part of the Vehicle in the auropilot scene", 《ELECTRONICS》, vol. 8, no. 3, 18 March 2019 (2019-03-18) * |
| 吕海龙: "基于RTX的无人机实时飞行仿真系统研究", 《中国知网硕士学位论文全文数据库》, vol. 2016, no. 7, 15 July 2016 (2016-07-15) * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115842762A (en) * | 2021-08-30 | 2023-03-24 | 青岛海尔科技有限公司 | Equipment debugging method, device and system |
| CN115842762B (en) * | 2021-08-30 | 2024-08-23 | 青岛海尔科技有限公司 | Equipment debugging method, device and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112527748B (en) | Method, device, equipment and storage medium for analyzing user operation behavior | |
| EP3916560A1 (en) | Fault injection method and apparatus, electronic device and storage medium to test microservices in the cloud | |
| EP4006731A1 (en) | Method, apparatus, device, storage medium and computer program product for testing code | |
| KR102488582B1 (en) | Method and apparatus for verifying operation state of application | |
| CN111522701A (en) | Test method, test system, electronic device and storage medium | |
| CN110727557A (en) | Log collector control method, platform, electronic device and storage medium | |
| CN110737557A (en) | Debugging method and device of electronic control unit, electronic equipment and storage medium | |
| CN111913884A (en) | Distributed test method, device, equipment, system and readable storage medium | |
| CN113037545A (en) | Network simulation method, device, equipment and storage medium | |
| JP2022095860A (en) | Signal lamp failure monitoring method, signal lamp failure monitoring apparatus, electronic device, and storage medium | |
| CN110737669A (en) | Data storage method, device, equipment and storage medium | |
| CN111625949B (en) | Simulation engine system, simulation processing method, device and medium | |
| CN113377809A (en) | Data processing method and apparatus, computing device, and medium | |
| CN111125451A (en) | Data production processing method and device, electronic equipment and storage medium | |
| CN110717999B (en) | Communication method, communication device, electronic equipment and storage medium | |
| CN114089974A (en) | Cloud code development system, method, device, equipment and storage medium | |
| CN113473086A (en) | Video playing method and device, electronic equipment and intelligent high-speed large screen | |
| CN111767321A (en) | Node relation network determining method and device, electronic equipment and storage medium | |
| CN110765075A (en) | Storage method and equipment of automatic driving data | |
| EP3926528A1 (en) | Image processing method, electronic device, readable storage medium and computer program product | |
| CN111966471B (en) | Access method, device, electronic equipment and computer storage medium | |
| CN112559277A (en) | Crash information processing method, system, vehicle-mounted device, server, electronic device and storage medium | |
| CN111726402B (en) | User behavior data processing method and device, electronic equipment and storage medium | |
| CN115842789B (en) | Data packet scheduling method, device and readable storage medium | |
| CN111464637A (en) | Unmanned vehicle data processing method, device, equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |