CN113419513A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN113419513A CN113419513A CN202110681580.5A CN202110681580A CN113419513A CN 113419513 A CN113419513 A CN 113419513A CN 202110681580 A CN202110681580 A CN 202110681580A CN 113419513 A CN113419513 A CN 113419513A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Abstract
The embodiment of the invention provides a data processing method and a data processing device, which are applied to a remote diagnosis platform, wherein the remote diagnosis platform is used for diagnosing an accessed vehicle, and the method comprises the following steps: receiving preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component; analyzing the preset CAN data according to a preset configuration rule to obtain key signal data; and determining target supplier information corresponding to the vehicle-mounted component according to the key signal data. Through the embodiment of the invention, the preset CAN data of the vehicle-mounted component CAN be remotely received, so that the target supplier information of the vehicle-mounted component CAN be determined, and the maintenance efficiency CAN be effectively improved.
Description
Technical Field
The present invention relates to the field of vehicle technologies, and in particular, to a method and an apparatus for processing data.
Background
After the vehicle breaks down, maintenance personnel need tear the car open to the trouble vehicle, and then can confirm the supplier of spare part according to the spare part, through carrying out corresponding failure analysis to the spare part, carry out the goods processing or maintenance processing to the spare part.
However, the repair process requires that a repair person must be on the site of the faulty vehicle and perform complicated vehicle removal work to determine the supplier of the component, and the supplier of the component cannot be determined quickly, resulting in low repair efficiency.
Disclosure of Invention
In view of the above, it is proposed to provide a method and apparatus for data processing that overcomes or at least partially solves the above mentioned problems, comprising:
a data processing method is applied to a remote diagnosis platform, and the remote diagnosis platform is used for diagnosing an accessed vehicle and comprises the following steps:
receiving preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component;
analyzing the preset CAN data according to a preset configuration rule to obtain key signal data;
and determining target supplier information corresponding to the vehicle-mounted component according to the key signal data.
Optionally, the receiving preset CAN data sent by the vehicle for the vehicle-mounted component includes:
subscribing a message queue of the vehicle for publishing preset CAN data;
and responding to user operation, receiving preset CAN data for the vehicle-mounted component from the message queue.
Optionally, the preset configuration rule includes signal attribute information, and before the step of analyzing the preset CAN data according to the preset configuration rule to obtain the key signal data, the method includes:
configuring signal attribute information corresponding to CAN data of the vehicle-mounted component;
the analyzing the preset CAN data according to a preset configuration rule to obtain key signal data comprises the following steps:
determining signal attribute information corresponding to the preset CAN data;
and according to the signal attribute information, data extraction is carried out in preset CAN data to obtain key signal data.
Optionally, the preset configuration rule further includes an analysis format, and before the step of extracting data from the preset CAN data according to the signal attribute information, the method further includes:
and carrying out format conversion on the preset CAN data according to the analysis format.
Optionally, before the step of identifying the key signal data to obtain the target provider information corresponding to the vehicle-mounted component, the method includes:
configuring matching information of the signal data and the supplier information;
the identifying the key signal data to obtain the target supplier information corresponding to the vehicle-mounted component includes:
and matching the key signal data in the matching information to obtain target supplier information corresponding to the vehicle-mounted component.
Optionally, the method further comprises:
judging whether the vehicle-mounted component is abnormal or not according to the target supplier information;
and triggering an alarm when the vehicle-mounted component is judged to be abnormal.
The utility model provides a vehicle, the vehicle includes on-vehicle part module, CAN data summarization module, and the module is forwardded to the CAN data, and remote issuing module:
the vehicle-mounted component module is used for sending stored preset CAN data to the CAN data summarizing module when the vehicle is in a power-on state;
the CAN data summarizing module is used for receiving and summarizing preset CAN data sent by the vehicle-mounted component module and sending the summarized preset CAN data to the CAN data forwarding module;
the CAN data forwarding module is used for receiving preset CAN data sent by the CAN data summarizing module and forwarding the preset CAN data to the remote publishing module;
and the remote publishing module is used for receiving the preset CAN data forwarded by the CAN data forwarding module and publishing the preset CAN data to a message queue so that a remote diagnosis platform subscribing the message queue CAN obtain the preset CAN data, wherein the remote diagnosis platform is used for diagnosing the vehicle.
A remote diagnosis platform is used for diagnosing an accessed vehicle and comprises a configuration rule module, an identification storage module, an online analysis module and an alarm module:
the configuration rule module is used for configuring a preset configuration rule corresponding to the CAN data of the vehicle-mounted component;
the identification rule module is used for configuring matching information of the signal data and the supplier information of the vehicle-mounted component;
the identification module is used for calling the preset configuration rule of the configuration rule module to analyze the preset CAN data to obtain key signal data when receiving the preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component, calling the matching information of the identification rule module, and matching the key signal data to obtain the target supplier information.
Optionally, the method further comprises:
and the online analysis module is used for judging whether the vehicle-mounted component is abnormal or not according to the target supplier information obtained by the identification module and triggering an alarm when the vehicle-mounted component is judged to be abnormal.
Optionally, the method further comprises:
and the alarm module is used for configuring alarm rules and giving an alarm according to the alarm rules when the online analysis module triggers the alarm.
An apparatus for data processing, applied to a remote diagnosis platform for diagnosing an accessed vehicle, the apparatus comprising:
the preset CAN data receiving module is used for receiving preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component;
the preset CAN data analysis module is used for analyzing the preset CAN data according to a preset configuration rule to obtain key signal data;
and the target supplier information determining module is used for determining the target supplier information corresponding to the vehicle-mounted component according to the key signal data.
A remote diagnostic platform comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the steps of the method of data processing as described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of data processing as set forth above.
The embodiment of the invention has the following advantages:
according to the embodiment of the invention, the preset CAN data aiming at the vehicle-mounted component sent by the vehicle end is received, the preset CAN data is analyzed according to the preset configuration rule to obtain the key signal data, and the target supplier information corresponding to the vehicle-mounted component is determined according to the key signal data, so that the remote receiving of the preset CAN data of the vehicle-mounted component is realized, the remote maintenance personnel CAN quickly determine the supplier information of the vehicle-mounted component, and the maintenance efficiency is effectively improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic illustration of a vehicle end provided in accordance with an embodiment of the present invention;
FIG. 2 is a schematic diagram of a remote diagnostic platform according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating steps of a method for data processing according to an embodiment of the present invention;
FIG. 4 is a flow chart of steps in another method of data processing according to an embodiment of the invention;
FIG. 5 is a flow chart illustrating steps of a method for processing data according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the invention, in order to remotely acquire the supplier information of the vehicle-mounted component, the vehicle CAN send the preset CAN data to the remote diagnosis platform, and the remote diagnosis platform analyzes and matches the preset CAN data to acquire the supplier information of the vehicle-mounted component.
Referring to fig. 1, a schematic structural diagram of a vehicle according to an embodiment of the present invention is shown, where the vehicle includes a vehicle-mounted component module, a CAN data summarization module, a CAN data forwarding module, and a remote publishing module:
the vehicle-mounted component module is used for sending stored preset CAN data to the CAN data summarizing module when the vehicle is in a power-on state;
the CAN data summarizing module is used for receiving and summarizing preset CAN data sent by the vehicle-mounted component module and sending the summarized preset CAN data to the CAN data forwarding module;
the CAN data forwarding module is used for receiving preset CAN data sent by the CAN data summarizing module and forwarding the preset CAN data to the remote publishing module;
and the remote publishing module is used for receiving the preset CAN data forwarded by the CAN data forwarding module and publishing the preset CAN data to a message queue so that a remote diagnosis platform subscribing the message queue CAN obtain the preset CAN data, wherein the remote diagnosis platform is used for diagnosing the vehicle.
The vehicle-mounted component module may be composed of one or more Electronic Control Units (ECUs) in the vehicle.
In an example, the CAN data forwarding module may include a gateway and the remote issuing module may include a Tbox (remote communication box).
Specifically, in the remote publishing module, a reporting period may be set for preset CAN data (for example, reporting is performed every 10 seconds at regular time), when the vehicle is in a power-on state, the received preset CAN data is reported to an MQTT server through an MQTT data transmission protocol (MQTT \ Message queue Telemetry transmission), the MQTT server may publish the preset CAN data to a specific Message queue, for example, a kafka queue, and the remote diagnosis platform may pull the preset CAN data in real time by subscribing to the Message queue.
By adopting the message queue, the link for distributing the signal data is multiplexed, and repeated new link construction is reduced.
Referring to fig. 2, a schematic structural diagram of a remote diagnosis platform provided in an embodiment of the present invention is shown, where the remote diagnosis platform is configured to diagnose an accessed vehicle, and includes a configuration rule module, an identification storage module, an online analysis module, and an alarm module:
the system comprises a configuration rule module, a configuration rule module and a configuration module, wherein the configuration rule module is used for configuring a preset configuration rule corresponding to CAN data of a vehicle-mounted component;
the preset configuration rule may include signal attribute information, a signal name, an analysis format, and the like.
In practical application, the configuration rule module further has functions of adding signal data, deleting signal data, searching signal data, updating signal data and the like.
(II) an identification rule module for configuring matching information of the signal data and the supplier information of the vehicle-mounted component;
the identification rule module may define rules how to identify the signal data, and the definition items may include a signal name, an operator, a defined value (i.e., signal data), and an identification result (i.e., vendor information), where there is a matching relationship between the defined value and the identification result, and the identification rule module further has functions of adding an identification rule, deleting an identification rule, searching an identification rule, and updating an identification rule.
And the identification module is used for calling the preset configuration rule of the configuration rule module to analyze the preset CAN data to obtain key signal data and calling the matching information of the identification rule module to match the key signal data to obtain the target supplier information when the preset CAN data aiming at the vehicle-mounted component sent by the vehicle is received.
And analyzing and identifying the preset CAN data, storing the identified target supplier data, and updating the stored information synchronously when the supplier data of the same vehicle-mounted component is changed so that maintenance personnel CAN know the latest vehicle-mounted component supplier data.
And the online analysis module is used for judging whether the vehicle-mounted component is abnormal or not according to the target supplier information obtained by the identification module and triggering an alarm when the vehicle-mounted component is judged to be abnormal.
The remote diagnostic platform may include an online analysis module that may provide online statistics and the ability to analyze supplier data, such as supplier change history, supplier classification, etc., online.
And the alarm module is used for configuring alarm rules and giving an alarm according to the alarm rules when the online analysis module triggers the alarm.
The alarm module can configure alarm rules, so as to define which data values are detected by the remote diagnosis platform, under which scenes an alarm needs to be performed, and what alarm mode is adopted.
The alarm module can include functions of triggering alarms of abnormal data in real time, adding alarm rules, deleting alarm rules, searching alarm rules, updating alarm rules and the like.
Referring to fig. 3, a flowchart illustrating steps of a data processing method according to an embodiment of the present invention is shown, where the method is applied to a remote diagnosis platform, where the remote diagnosis platform is used to diagnose an accessed vehicle, and specifically includes the following steps:
step 301, receiving preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component;
in one example, the onboard component comprises an electronic control unit in the vehicle.
In the vehicle, one or more vehicle-mounted components of the vehicle can be provided with an external label, supplier information of the vehicle-mounted components can be recorded on the external label, when the vehicle-mounted components are in failure, a maintenance worker can detach the vehicle on site and detect that problem analysis is carried out on the vehicle-mounted components of the vehicle, and when the vehicle-mounted components need to be replaced, the supplier information of the vehicle-mounted components can be checked, so that the corresponding vehicle-mounted components can be replaced. In the process, supplier information of the vehicle-mounted component is confirmed through on-site dismounting, and the supplier information cannot be obtained quickly, so that the maintenance efficiency is low.
In order to remotely acquire supplier information, preset CAN data associated with a supplier identifier may be stored in one or more vehicle-mounted components of a vehicle, and in a powered-on state of the vehicle, the vehicle components may collect and upload preset CAN data (i.e., data associated with the supplier identifier) reported by the vehicle-mounted components to a remote diagnosis platform through a CAN bus by configuring a data format of a CAN (Controller Area Network), and the remote diagnosis platform is configured to remotely receive the preset CAN data and determine supplier information of the vehicle-mounted components, so that the supplier information of the vehicle-mounted components may be quickly determined without detaching the components.
In an embodiment of the present invention, step 301 may include:
a substep 311 of subscribing a message queue of the vehicle for issuing preset CAN data;
in the vehicle, the preset CAN data of the vehicle-mounted component CAN be published to the message queue, and the remote diagnosis platform CAN subscribe to the message queue so as to acquire the preset CAN data.
A substep 312, in response to a user operation, acquiring preset CAN data for the vehicle-mounted component from the message queue.
When a user needs to determine the supplier information of a certain vehicle-mounted component in the vehicle, the user CAN log in a remote diagnosis platform to perform corresponding operation, and the remote diagnosis platform CAN respond to the user operation and acquire preset CAN data of the vehicle-mounted component from a message queue.
By adopting the message queue, the link for distributing the signal data is multiplexed, and repeated new link construction is reduced.
in the remote diagnosis platform, a preset configuration rule for analyzing the preset CAN data may be stored, and after the preset CAN data are received, the preset CAN data may be analyzed according to the preset configuration rule, so that key signal data may be obtained.
The key signal data CAN be signal data extracted from preset CAN data, and the signal data has a matching relationship with supplier information of the vehicle-mounted component and CAN be used for determining the supplier information of the vehicle-mounted component.
After the key signal data are obtained, the target supplier information corresponding to the vehicle-mounted component can be determined, and then, a maintenance worker can analyze the vehicle-mounted component according to the target supplier information.
In the embodiment of the invention, the preset CAN data which is sent by the vehicle and aims at the vehicle-mounted component is received, the preset CAN data is analyzed according to the preset configuration rule to obtain the key signal data, and the target supplier information corresponding to the vehicle-mounted component is determined according to the key signal data, so that the preset CAN data of the vehicle-mounted component is remotely received, the target supplier information of the vehicle-mounted component is determined, the remote maintenance personnel CAN quickly determine the supplier information of the vehicle-mounted component, and the maintenance efficiency is effectively improved.
Referring to fig. 4, a flowchart illustrating steps of another data processing method according to an embodiment of the present invention is shown, where the method is applied to a remote diagnosis platform, where the remote diagnosis platform is used to diagnose an accessed vehicle, and specifically includes the following steps:
step 401, configuring a preset configuration rule corresponding to CAN data of a vehicle-mounted component, wherein the preset configuration rule comprises signal attribute information and an analytic format;
in the remote diagnosis platform, the CAN data in different vehicle-mounted components are different, and preset configuration rules corresponding to the CAN data of one or more vehicle-mounted components CAN be configured according to the data characteristics of one or more CAN data, wherein the preset configuration rules are used for analyzing the preset CAN data and CAN comprise signal attribute information and an analysis format.
The signal attribute information may include position information (such as start bit, middle bit, end bit, or other characteristic position information) of the signal data in the CAN data, length information of the signal data, a unit of the signal data, and is used to determine the signal data, and the parsing format is used to convert the preset CAN data into a target format, and the parsing format may include binary conversion and numerical type conversion.
For example: the preset CAN data is BMS _ CellCfg data 0x01 (16-ary system) reported by the battery pack, the preset configuration rule in the remote diagnosis platform is that data is extracted from the first bit of the preset CAN data (namely, the signal position information of the signal data is extracted from the CAN data) in the 10-ary system, the length limit (the length information of the signal data) is 1, and therefore, the obtained key signal data is 1 (the value 0x01 in the 16-ary system is converted into the value 1 after the 10-ary system is extracted, and for the value 1, the length of one bit is taken from the first bit, and finally the signal data 1 is obtained).
It should be noted that, a person skilled in the art may set the preset configuration rule according to an actual situation, and the preset configuration rule is not limited to the above example, and the embodiment of the present invention is not limited to this specifically.
Step 402, configuring matching information of the signal data and the supplier information;
the same vehicle-mounted component can have a plurality of different candidate suppliers, so that different signal data can correspond to different supplier information, further, matching information of the signal data and the supplier information can be configured on the remote diagnosis platform, the matching information of the signal data and the supplier information can be that one signal data corresponds to one supplier information, or a plurality of signal data correspond to the same supplier information, and the matching information can be used for determining the supplier information of the vehicle-mounted component. It should be noted that step 401 and step 402 may be performed simultaneously.
For example, the matching information configured in the remote diagnosis platform may be "when BMS _ CellCfg is 0,1,3, the vendor may match to the ningde era", wherein "BMS _ CellCfg" is a signal name, "═ is an operator, 0,1,3 are all signal data, and" ningde era "is vendor information.
It should be noted that, a person skilled in the art may set the matching information according to an actual situation, and the matching information is not limited to the above example, and the embodiment of the present invention is not limited to this specifically.
Step 403, receiving preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component;
in a vehicle power-on state, the remote diagnosis platform CAN remotely receive target CAN data which are sent by a vehicle end and aim at the vehicle-mounted component.
And step 404, performing format conversion on the preset CAN data according to the analytic format.
When the preset CAN data are received, the preset configuration rule of the preset CAN data CAN be determined according to the preset CAN data, so that the preset CAN data CAN be converted according to the analytic format.
And 405, extracting data from the converted preset CAN data according to the signal attribute information to obtain key signal data.
When the preset CAN data is received, the remote diagnosis platform is configured with the signal attribute information corresponding to the CAN data, so that the signal attribute information corresponding to the preset CAN data CAN be determined, and the preset CAN data CAN be subjected to data extraction according to the signal attribute information, so that key signal data CAN be obtained.
And 406, matching the key signal data in the matching information to obtain target supplier information corresponding to the vehicle-mounted component.
In the remote diagnosis platform, the matching relationship between the signal data and the supplier data can be configured, after the key signal data is determined, matching can be performed according to the matching relationship, and the target supplier information matched with the key signal data is determined, so that in the remote diagnosis platform, the supplier information of the vehicle-mounted component can be remotely and rapidly determined to assist maintenance personnel in problem analysis.
For example: the preset CAN data is BMS _ CellCfg data 0x01 reported by the battery pack, the preset configuration rule of the data is that the first bit is taken, the length is limited to 1, the value is obtained after analysis, the key signal data is '1', matching search is carried out in the matching relation in the remote diagnosis platform, the supplier information matched with the key signal data 1 is determined to be 'Ningde time supplier', and the 'Ningde time supplier' is finally obtained target supplier information.
In the embodiment of the invention, the CAN data of the vehicle-mounted component CAN be configured according to the preset configuration rule corresponding to the CAN data, and matching information of the configuration signal data and the supplier information, receiving preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component, and according to the analysis format, converting the format of the preset CAN data, extracting the preset CAN data according to the signal attribute information to obtain key signal data, and further extracting the key signal data from the matching information, matching the key signal data to obtain target supplier information corresponding to the vehicle-mounted component, realizing remote receiving of preset CAN data of the vehicle-mounted component, and determines the target supplier information of the vehicle-mounted component by analyzing and identifying the preset CAN data, therefore, remote maintenance personnel can quickly determine the supplier information of the vehicle-mounted component, and the maintenance efficiency is effectively improved.
Referring to fig. 5, a flowchart illustrating steps of another data processing method according to an embodiment of the present invention is provided, where the method is applied to a remote diagnosis platform, where the remote diagnosis platform is used to diagnose an accessed vehicle, and specifically includes the following steps:
in the vehicle, the vehicle-mounted component may store data associated with the supplier identifier, and in a power-on state of the vehicle, the vehicle-mounted component may summarize and upload preset CAN data (i.e., data associated with the supplier identifier) reported by the vehicle-mounted component to the remote diagnosis platform through a CAN bus by configuring a data format of a CAN (Controller Area Network).
Therefore, the remote diagnosis platform CAN remotely receive the preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component, and the remote diagnosis platform CAN rapidly determine the supplier information of the vehicle-mounted component under the condition of not disassembling the component through the preset CAN data, so that the maintenance efficiency is improved.
in the remote diagnosis platform, a preset configuration rule for analyzing the preset CAN data may be stored, and after the preset CAN data are received, the preset CAN data may be analyzed according to the preset configuration rule, so that key signal data may be obtained.
The key signal data CAN be signal data extracted from preset CAN data, and the signal data has a matching relationship with supplier information of the vehicle-mounted component and CAN be used for determining the supplier information of the vehicle-mounted component.
After the key signal data are obtained, the target supplier information corresponding to the vehicle-mounted component can be determined, and then, a maintenance worker can perform remote analysis on the vehicle-mounted component according to the target supplier information.
after determining the target provider information, it may be determined whether the vehicle-mounted component has an abnormality, such as an abnormality that may include whether the vehicle-mounted component is a loss abnormality of the vehicle-mounted component provided by an illegal provider (determined according to an original state of the vehicle-mounted component corresponding to the target provider information in a current state of the vehicle-mounted component).
In an example, step 504 may include:
substep 511, determining whether the target supplier information matches preset supplier information of the vehicle-mounted component; in practical applications, in the remote diagnosis platform, preset supplier information corresponding to the vehicle-mounted component of the vehicle may be stored, the preset supplier information is supplier data that the vehicle-mounted component is legal, and after the target supplier information is determined, it may be determined whether the target supplier information matches with the preset supplier information of the vehicle-mounted component.
Substep 512, when it is determined that the target supplier information does not match the preset supplier information, determining that the vehicle-mounted component is abnormal.
When it is determined that the target provider information does not match the preset provider information, the in-vehicle component may present a safety risk, and thus, it may be determined that an abnormality has occurred in the in-vehicle component.
Substep 513, when it is determined that the target provider information matches the preset provider information, determining that an abnormality occurs in the in-vehicle component in a case where the in-vehicle component specifications are different.
The same supplier can have a plurality of vehicle-mounted components with different specifications, when the target supplier information is judged to be matched with the preset supplier information, whether the specification information of the vehicle-mounted components is matched with the preset specification information or not can be further determined, and when the specifications of the vehicle-mounted components are not matched, the vehicle-mounted components can be judged to be abnormal.
And 505, triggering an alarm when the vehicle-mounted component is judged to be abnormal.
When the abnormal condition of the vehicle-mounted component is judged, the remote diagnosis platform can trigger alarm according to the alarm rule preset by the platform, so that the generated alarm information can be sent to related personnel, and the related personnel can be maintenance personnel or vehicle owner users.
In one example, in the remote diagnostic platform, the alarm rules may be set according to the type of abnormality of the in-vehicle component and/or the priority of the in-vehicle component.
The exception type can be classified into any one of the following types:
(1) anomalies caused by a mismatch of vendor information;
(2) supplier information is matched, but the specifications of the vehicle-mounted components are not consistent;
(3) the supplier is a counterfeit supplier.
When the remote diagnosis platform determines that the vehicle-mounted component is abnormal, the abnormal type can be determined firstly, the priority of the vehicle-mounted component is determined, and then the corresponding alarm rule is determined according to the abnormal type and the priority of the vehicle-mounted component.
The warning rule may be that no warning is given for the abnormality, for example, for a vehicle component with a lower priority in the vehicle, the influence of the vehicle component supplier is small, and even if an abnormality occurs, no warning is required.
The alarm rule can also be used for alarming aiming at abnormity, and when the alarm is needed, an alarm form can be set, wherein the alarm form can be voice broadcast, vibration prompt, popup prompt, interface strengthened display, message push and the like.
In one example, when there are a plurality of abnormal on-board components that need to be alerted, the alerts may be sequentially issued according to the priorities of the on-board components.
For example, for an on-vehicle component with high priority, when an abnormality caused by mismatch of the supplier information occurs, an alarm may be given, specifically, when the battery pack of the vehicle belongs to the on-vehicle component with high priority, and when the supplier of the battery pack is not in the ningde era (BMS _ CellCfg is not equal to 0,1,3), an alarm notification is triggered.
It should be noted that, a person skilled in the art may set an alarm rule according to an actual situation, and the alarm rule is not limited to the above example, and the embodiment of the present invention is not limited to this specifically.
By establishing a reasonable monitoring and alarming mechanism of illegal part suppliers on the remote diagnosis platform, the safety risk can be exposed in advance, and the safety of the vehicle is effectively ensured.
In an example, the method may further include:
and when the vehicle-mounted component is judged to be abnormal, performing abnormal processing on the vehicle-mounted component according to the target supplier information.
In practical application, when the vehicle-mounted component is judged to be abnormal, the vehicle-mounted component can be subjected to abnormity processing according to the target supplier information, for example, when the supplier of the vehicle-mounted component is an illegal supplier, the vehicle-mounted component can be subjected to piece changing processing without speaking; when the loss of the vehicle-mounted part is abnormal, a vehicle owner can be informed to maintain the vehicle-mounted part, and the vehicle-mounted part can be replaced when the loss is serious.
In the embodiment of the invention, the preset CAN data which is sent by the vehicle and aims at the vehicle-mounted component is received, the preset CAN data is analyzed according to the preset configuration rule to obtain the key signal data, the target supplier information corresponding to the vehicle-mounted component is determined according to the key signal data, whether the vehicle-mounted component is abnormal or not is judged according to the target supplier information, and when the vehicle-mounted component is judged to be abnormal, an alarm is triggered, so that the vehicle-mounted component is remotely monitored, the safety risk is reduced, and the working efficiency of maintenance personnel is improved.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 6, a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention is shown, which may specifically include the following modules:
the preset CAN data receiving module 601 is used for receiving preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component;
a preset CAN data analyzing module 602, configured to analyze the preset CAN data according to a preset configuration rule to obtain key signal data;
and a target provider information determining module 603, configured to determine, according to the key signal data, target provider information corresponding to the vehicle-mounted component.
In an embodiment of the present invention, the target CAN data receiving module 601 may include:
the subscription submodule is used for subscribing a message queue of the vehicle for releasing preset CAN data;
and the acquisition submodule is used for responding to user operation and acquiring preset CAN data aiming at the vehicle-mounted component from the message queue.
In an embodiment of the present invention, the apparatus may further include:
the signal attribute information configuration module is used for configuring signal attribute information corresponding to CAN data of the vehicle-mounted component;
the target CAN data parsing module 602 may include:
and the extraction submodule is used for extracting data in preset CAN data according to the signal attribute information to obtain key signal data.
In an embodiment of the present invention, the target CAN data parsing module 602 may include:
and carrying out format conversion on the preset CAN data according to the analysis format.
In an embodiment of the present invention, the apparatus may further include:
the matching information configuration module is used for configuring the matching information of the signal data and the supplier information;
the target provider information determination module 403 may include:
and matching the key signal data in the matching information to obtain target supplier information corresponding to the vehicle-mounted component.
In an embodiment of the present invention, the apparatus further includes:
the abnormity judgment module is used for judging whether the vehicle-mounted component is abnormal or not according to the target supplier information;
and the warning triggering module is used for triggering warning when the vehicle-mounted component is judged to be abnormal.
In the embodiment of the invention, the preset CAN data which is sent by the vehicle and aims at the vehicle-mounted component is received, the preset CAN data is analyzed according to the preset configuration rule to obtain the key signal data, and the target supplier information corresponding to the vehicle-mounted component is determined according to the key signal data, so that the preset CAN data of the vehicle-mounted component is remotely received, the target supplier information of the vehicle-mounted component is determined, the remote maintenance personnel CAN quickly determine the supplier information of the vehicle-mounted component, and the maintenance efficiency is effectively improved.
An embodiment of the present invention further provides a remote diagnosis platform, which may include a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the method for processing data as above is implemented.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the above data processing method.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The method and apparatus for data processing provided above are described in detail, and a specific example is applied herein to illustrate the principles and embodiments of the present invention, and the above description of the embodiment is only used to help understand the method and core ideas of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (13)
1. A data processing method is applied to a remote diagnosis platform, and the remote diagnosis platform is used for diagnosing an accessed vehicle end and comprises the following steps:
receiving preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component;
analyzing the preset CAN data according to a preset configuration rule to obtain key signal data;
and determining target supplier information corresponding to the vehicle-mounted component according to the key signal data.
2. The method of claim 1, wherein the receiving preset CAN data for on-board components sent by the vehicle comprises:
subscribing a message queue of the vehicle for publishing preset CAN data;
and responding to user operation, and acquiring preset CAN data for the vehicle-mounted component from the message queue.
3. The method according to claim 1, wherein the preset configuration rule includes signal attribute information, and before the step of analyzing the preset CAN data according to the preset configuration rule to obtain the key signal data, the method includes:
configuring signal attribute information corresponding to preset CAN data of the vehicle-mounted component;
the analyzing the preset CAN data according to the preset configuration rule to obtain key signal data comprises the following steps:
determining signal attribute information corresponding to the preset CAN data;
and according to the signal attribute information, data extraction is carried out in preset CAN data to obtain key signal data.
4. The method of claim 3, wherein the preset configuration rule further comprises a parsing format, and further comprises, before the step of extracting data from the preset CAN data according to the signal attribute information:
and carrying out format conversion on the preset CAN data according to the analysis format.
5. The method according to claim 1, 2, 3 or 4, characterized in that before the step of identifying the key signal data to obtain the target supplier information corresponding to the vehicle-mounted component, the method comprises:
configuring matching information of the signal data and the supplier information;
the identifying the key signal data to obtain the target supplier information corresponding to the vehicle-mounted component includes:
and matching the key signal data in the matching information to obtain target supplier information corresponding to the vehicle-mounted component.
6. The method of claim 1, 2, 3 or 4, further comprising:
judging whether the vehicle-mounted component is abnormal or not according to the target supplier information;
and triggering an alarm when the vehicle-mounted component is judged to be abnormal.
7. The utility model provides a vehicle, its characterized in that, the vehicle includes on-vehicle part module, CAN data summarization module, and the module is forwardded to the CAN data, and remote issuing module:
the vehicle-mounted component module is used for sending stored preset CAN data to the CAN data summarizing module when the vehicle is in a power-on state;
the CAN data summarizing module is used for receiving and summarizing preset CAN data sent by the vehicle-mounted component module and sending the summarized preset CAN data to the CAN data forwarding module;
the CAN data forwarding module is used for receiving preset CAN data sent by the CAN data summarizing module and forwarding the preset CAN data to the remote publishing module;
the remote publishing module is used for receiving the preset CAN data forwarded by the CAN data forwarding module and publishing the preset CAN data to a message queue so that a remote diagnosis platform subscribing the message queue CAN obtain the preset CAN data, wherein the remote diagnosis platform is used for diagnosing the vehicle.
8. A remote diagnosis platform is characterized in that the remote diagnosis platform is used for diagnosing an accessed vehicle and comprises a configuration rule module, an identification rule module and an identification storage module:
the configuration rule module is used for configuring a preset configuration rule corresponding to the CAN data of the vehicle-mounted component;
the identification rule module is used for configuring matching information of the signal data and the supplier information of the vehicle-mounted component;
the identification module is used for calling the preset configuration rule of the configuration rule module to analyze the preset CAN data to obtain key signal data when receiving the preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component, calling the matching information of the identification rule module, and matching the key signal data to obtain the target supplier information.
9. The remote diagnostic platform of claim 1, further comprising:
and the online analysis module is used for judging whether the vehicle-mounted component is abnormal or not according to the target supplier information obtained by the identification module and triggering an alarm when the vehicle-mounted component is judged to be abnormal.
10. The remote diagnostic platform of claim 2, further comprising:
and the alarm module is used for configuring alarm rules and giving an alarm according to the alarm rules when the online analysis module triggers the alarm.
11. An apparatus for data processing, applied to a remote diagnosis platform for diagnosing an accessed vehicle, the apparatus comprising:
the preset CAN data receiving module is used for receiving preset CAN data which are sent by the vehicle and aim at the vehicle-mounted component;
the preset CAN data analysis module is used for analyzing the preset CAN data according to a preset configuration rule to obtain key signal data;
and the target supplier information determining module is used for determining the target supplier information corresponding to the vehicle-mounted component according to the key signal data.
12. A remote diagnostic platform comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the steps of the method of data processing according to any one of claims 1 to 6.
13. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of data processing according to any one of claims 1 to 6.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160035150A1 (en) * | 2014-07-30 | 2016-02-04 | Verizon Patent And Licensing Inc. | Analysis of vehicle data to predict component failure |
| CN106559214A (en) * | 2015-09-25 | 2017-04-05 | 比亚迪股份有限公司 | For changing terminal, server and the corresponding method of difference of vehicle part |
| CN106873452A (en) * | 2017-01-22 | 2017-06-20 | 黑龙江八农垦大学 | Agricultural machinery and implement identity recognition device based on CAN |
| CN108600192A (en) * | 2018-04-03 | 2018-09-28 | 南京越博动力系统股份有限公司 | A kind of DBC document analysis and message analysis method based on regular expression |
| CN109895815A (en) * | 2017-12-11 | 2019-06-18 | 比亚迪股份有限公司 | The operation data acquisition method and system of train |
| CN110456774A (en) * | 2019-08-15 | 2019-11-15 | 中车大连机车研究所有限公司 | A kind of fault diagnosis of rapid freight transportation locomotive and prior-warning device and method |
-
2021
- 2021-06-18 CN CN202110681580.5A patent/CN113419513A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160035150A1 (en) * | 2014-07-30 | 2016-02-04 | Verizon Patent And Licensing Inc. | Analysis of vehicle data to predict component failure |
| CN106559214A (en) * | 2015-09-25 | 2017-04-05 | 比亚迪股份有限公司 | For changing terminal, server and the corresponding method of difference of vehicle part |
| CN106873452A (en) * | 2017-01-22 | 2017-06-20 | 黑龙江八农垦大学 | Agricultural machinery and implement identity recognition device based on CAN |
| CN109895815A (en) * | 2017-12-11 | 2019-06-18 | 比亚迪股份有限公司 | The operation data acquisition method and system of train |
| CN108600192A (en) * | 2018-04-03 | 2018-09-28 | 南京越博动力系统股份有限公司 | A kind of DBC document analysis and message analysis method based on regular expression |
| CN110456774A (en) * | 2019-08-15 | 2019-11-15 | 中车大连机车研究所有限公司 | A kind of fault diagnosis of rapid freight transportation locomotive and prior-warning device and method |
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Application publication date: 20210921 |