CN115361418A - Vehicle-mounted distributed dynamic data embedded point acquisition method, vehicle and cloud server - Google Patents
Vehicle-mounted distributed dynamic data embedded point acquisition method, vehicle and cloud server Download PDFInfo
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Abstract
The invention discloses a vehicle-mounted distributed dynamic data embedded point acquisition method, a vehicle and a cloud server, wherein a vehicle end embeds SDK codes in vehicle-mounted application, a cloud end carries out embedded point configuration management and configures data acquisition rules, the vehicle end receives the data acquisition rules issued by the cloud end, local storage and summarization are carried out on log cache of acquired data, the log cache is encrypted and uploaded to the cloud end, the cloud end server carries out decryption and unpacking on the uploaded data, and the unpacked data is formatted and analyzed and stored in a data analysis engine. According to the vehicle-mounted distributed dynamic embedded point technology, through cooperative cooperation of the vehicle end and the cloud end, data embedded points are automatically acquired for a vehicle, embedded point configuration management is carried out on the cloud end, data acquisition rules are set, local storage and summarization are carried out on data log cache, and finally the data log cache is uploaded to the cloud end to be stored and graphically displayed.
Description
Technical Field
The invention relates to a data buried point acquisition method, a vehicle and a cloud server, in particular to a vehicle-mounted distributed dynamic data buried point acquisition method, a vehicle and a cloud server.
Background
Data embedding points are an important mode of data acquisition, and are mainly used for recording and collecting operation behaviors of end users and providing data source support for data statistics and analysis. Based on the characteristics of the vehicle, the signals of CAN communication are collected in the past, the CAN communication characteristics are limited, and the collected content is less. Nowadays, an Ethernet technology is introduced into SDV, but the whole vehicle interface data exposed by atomic service is still taken as the main data, only relatively basic data such as vehicle speed, gears and the like can be collected, the collected data has low dimensionality, the collected data is limited, and the derived data of a system cannot be collected without a method, so that the data analysis is difficult to meet; in addition, according to the current mainstream software definition automobile mode, the application is downloaded into the automobile, if a static point burying mode is adopted, the acquisition of newly downloaded application data is not supported, secondary development is needed, the coupling degree is high, the adaptability is difficult, the number of applications needing to be adapted is large, the risk of data point burying development for each application is high, and the requirements of people cannot be met.
Disclosure of Invention
The invention aims to provide a vehicle-mounted distributed dynamic data embedded point acquisition method, a vehicle and a cloud server, and the invention firstly solves the technical problem that an application analysis statistical method based on SDK defines an automobile hardware platform by software, realizes a vehicle-mounted distributed dynamic embedded point technology through cloud computing and distributed cooperative scheduling technology, and provides data source support for data analysis of operators;
the invention solves the technical problems of effectively realizing the acquisition and reporting of operation and maintenance related data and problem feedback reproduction, and supporting the operation and maintenance to sense in advance and diagnose in real time;
the technical problem to be solved by the invention is to format, analyze and store the collected data in a data engine, then carry out statistical analysis on the collected data according to the requirements of operators, and finally show the data to users in a chart form at the front end for the operators to use.
The invention provides the following scheme:
a vehicle-mounted distributed dynamic data buried point acquisition method specifically comprises the following steps:
embedding an SDK code capable of automatically acquiring data embedded points into a vehicle-mounted application by a vehicle end;
the cloud carries out buried point configuration management;
the cloud configures data acquisition rules based on the requirements of data analysis;
the vehicle end receives the data acquisition rule issued by the cloud end and issues the data acquisition rule to each vehicle-mounted application;
the vehicle-side carries out local storage and summarization on the log cache of the collected data;
the vehicle end uploads the log cache to the cloud end in an encrypted form;
and the cloud server decrypts and unpacks the uploaded data, formats and analyzes the unpacked data, and stores the data into a data analysis engine.
Furthermore, the SDK code includes an identifier user, collected data, local data cache management, reported data, and visualization analysis, where the local data cache management is used to set a local cache upper limit value and delete all events cached locally;
the cloud-based embedded point configuration management specifically comprises: event embedded point management, embedded point uploading management and visual embedded point management, wherein:
the event embedded point management specifically comprises the steps of establishing an embedded point event and setting whether the embedded point event is effective or not;
the buried point uploading management specifically comprises the steps of setting a data packet uploading triggering rule collected by the buried point;
the visualized embedded point management specifically comprises the step of carrying out human-computer interaction with a user through a human-computer interaction interface.
Further, the vehicle-side performs local storage and summarization on the log cache of the collected data, specifically: the vehicle end locally stores the log cache of the acquired data through the embedded point component sub-node, and after the local cache upper limit or the maximum cache time is reached, the embedded point component sub-node is gathered into the embedded point management component main node through a distributed engine internal standard interface;
the vehicle end uploads the log cache to the cloud end in an encrypted form, and specifically comprises the following steps: after receiving the acquisition rule, the vehicle-mounted application terminal SDK acquires data in a JSON form according to the rule, uploads the acquired data to a sub-node of a buried point management component where the vehicle-mounted application is located, the buried point management component caches the acquired log locally, and after the local cache upper limit or the maximum cache time is reached, the sub-node of the buried point management component is gathered into a main node of the buried point management component through a standard interface inside a distributed engine;
the high in the clouds server decrypts and unpacks data, carries out formatting analysis to the collection data after unpacking to in the data analysis engine of storage, still include: and the cloud end carries out statistical analysis on the collected data and displays the data in a chart form at the front end.
A vehicle-mounted distributed dynamic data embedded point acquisition method based on a vehicle end specifically comprises the following steps:
embedding an SDK code capable of automatically collecting data embedded points in vehicle-mounted application;
the vehicle end receives the data acquisition rule issued by the cloud and issues the data acquisition rule to each vehicle-mounted application, wherein: the data acquisition rule is configured based on data analysis requirements;
the vehicle-side carries out local storage and summarization on the log cache of the collected data;
when the log cache triggers the uploading rule, the vehicle end uploads the log cache to the cloud end in an encrypted form.
A vehicle-mounted distributed dynamic data buried point acquisition method based on a cloud end specifically comprises the following steps:
carrying out buried point configuration management at the cloud end, and configuring a data acquisition rule based on the requirement of data analysis;
the data acquisition rule is issued to a main node of a buried point management component at a vehicle end;
receiving log cache data uploaded by a vehicle, and decrypting and unpacking the uploaded data;
and formatting and analyzing the unpacked data, and storing the data into a data analysis engine at the cloud.
A vehicle-mounted distributed dynamic data point burying system specifically comprises:
the data embedded point acquisition SDK code embedding module is used for embedding an SDK code capable of automatically acquiring data embedded points in vehicle-mounted application;
the cloud embedded point configuration management module is used for carrying out embedded point configuration management on the cloud;
the data acquisition rule configuration module is used for configuring data acquisition rules based on data types required by data analysis, receiving the data acquisition rules issued by the cloud end, and issuing the data acquisition rules to each vehicle-mounted application terminal through the sub-nodes of the buried point management assembly;
the vehicle end locally stores the log cache of the acquired data through the embedded point component sub-node, and after the local cache upper limit or the maximum cache time is reached, the embedded point component sub-node is gathered into the embedded point management component main node through a standard interface inside a distributed engine;
the vehicle-end data encryption sub-packet uploading module uploads the acquired data to the cloud end in an encryption form after the log cache reaches an uploading trigger rule;
and the cloud terminal decrypts and unpacks the uploaded data, formats and analyzes the unpacked data, and stores the unpacked data into a data analysis engine.
A vehicle-mounted distributed dynamic data embedded point acquisition system based on a vehicle end specifically comprises:
the vehicle-end data automatic acquisition SDK code embedding module is used for embedding an SDK code capable of automatically acquiring data embedded points in vehicle-mounted application;
the vehicle-end data acquisition rule receiving module is used for receiving the data acquisition rules issued by the cloud end and issuing the data acquisition rules to each vehicle-mounted application
The vehicle-end log cache summarizing module is used for locally storing and summarizing the log cache of the acquired data; when the log cache triggers an uploading rule, the vehicle end uploads the log cache to the cloud end in an encrypted form;
the utility model provides a vehicle-mounted distributed dynamic data buries a collection system based on high in clouds, specifically includes:
the cloud buried point configuration management module is used for carrying out buried point configuration management at the cloud and configuring a data acquisition rule based on the requirement of data analysis;
the cloud end issuing data acquisition rule module is used for issuing data acquisition rules to a main node of a buried point management component of a vehicle end;
the cloud log cache data receiving module is used for receiving log cache data uploaded by a vehicle and decrypting and unpacking the uploaded data;
and the cloud data receiving, analyzing and storing module is used for carrying out formatting analysis on the data uploaded by the vehicle and storing the data into a cloud data analysis engine.
Further, the cloud-end buried point data visualization display system further comprises a cloud-end buried point data visualization display module, wherein the cloud-end buried point data visualization display module is used for performing statistical analysis on the collected data and displaying the data in a chart form at the front end.
An electronic device, comprising: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus; the memory has stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of the method.
A computer readable storage medium storing a computer program executable by an electronic device, the computer program, when run on the electronic device, causing the electronic device to perform the steps of the method.
A vehicle, comprising in particular:
the electronic equipment is used for realizing a vehicle-mounted distributed dynamic data embedded point acquisition method based on a vehicle end;
a processor that runs a program, and executes a step of a vehicle-end-based on-vehicle distributed dynamic data buried point acquisition method for data output from the electronic device when the program runs;
a storage medium for storing a program that executes, when running, steps of a vehicle-end-based on-vehicle distributed dynamic data buried point acquisition method for data output from an electronic device;
a cloud server comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; the memory has stored therein a cloud-based on-board distributed dynamic data acquisition system, which when executed by the processor causes the processor to perform the steps of the method.
Compared with the prior art, the invention has the following advantages:
according to the vehicle-mounted distributed dynamic point burying system, through cooperative cooperation of the vehicle end and the cloud end, data are automatically collected and buried in the vehicle, the buried point configuration management is carried out on the cloud end, data collection rules are set, local storage and summarization are carried out on data log cache, and the data log cache is uploaded to a data analysis engine to be stored and graphically displayed.
According to the invention, the log cache of the collected data is locally stored and summarized in real time, and is uploaded to the cloud in an encrypted form, and is decrypted, unpacked, formatted, analyzed and stored by the cloud, and finally, graphical display is carried out, so that the collection, report and problem feedback reproduction of operation and maintenance related data are effectively realized, and operation and maintenance advanced sensing and real-time diagnosis are supported.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a vehicle-mounted distributed dynamic data buried point acquisition method of the invention.
Fig. 2 is an architecture diagram of the vehicle-mounted distributed dynamic data buried point acquisition system of the present invention.
FIG. 3 is a flow chart of a vehicle-end-based vehicle-mounted distributed dynamic data embedded point acquisition method.
Fig. 4 is an architecture diagram of a vehicle-end based vehicle-mounted distributed dynamic data buried point acquisition system.
Fig. 5 is a flow chart of a cloud-based vehicle-mounted distributed dynamic data buried point acquisition method.
Fig. 6 is an architecture diagram of a cloud-based vehicle-mounted distributed dynamic data buried point acquisition system.
Fig. 7 is a system architecture diagram of a specific embodiment.
Fig. 8 is a system architecture diagram of an electronic device.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
As shown in fig. 1, an execution main body in this embodiment includes a vehicle end and a cloud end that perform cooperative work and data interaction through a network:
step S1: embedding an SDK code capable of automatically collecting data embedded points into a vehicle-mounted application by a vehicle end;
specifically, the method comprises the following steps: the SDK code comprises an identification user, collected data, data local cache management, reported data and visualization analysis, wherein the data local cache management is used for setting a local cache upper limit value and deleting all events cached locally;
the following are exemplary: the data local cache management comprises the following steps: setting a local cache upper limit value, and deleting all events cached locally;
step S2: cloud carries out the burdening configuration management, and is specific: carry out the bury point configuration management through the high in the clouds, specifically include: event buried point management, buried point uploading management and visual buried point management, wherein:
the event buried point management specifically includes creating a buried point event and setting whether the buried point event is effective, and exemplarily: the method comprises the steps that a buried point event is created and comprises a buried point name and a buried point identifier;
the buried point uploading management specifically comprises the steps of setting a data packet uploading triggering rule collected by a buried point;
specifically, the method comprises the following steps: the data packet uploading triggering rule configuration items are as follows: : the maximum interval time of each uploading plus the maximum byte number of each uploading;
the visualized embedded point management specifically comprises the following steps of carrying out human-computer interaction with a user through a human-computer interaction interface: after the visual embedded point management can enter the embedded point mode through the cloud, a user clicks an element which is required to be embedded and makes a corresponding selection according to an interface prompt, and a corresponding embedded point event can be created, so that a friendly embedded point creating mode can be conveniently provided for personnel without code capacity.
And step S3: the cloud configures data acquisition rules based on data analysis requirements, specifically: the cloud configuration data acquisition rule is based on data type support requirements required by data analysis, and is issued to a main node of a buried point management component on the vehicle through a cloud after configuration is completed;
the following are exemplary: one of the collection script rules is as follows: collecting task packet header, collecting vehicle-mounted application packet name, collecting event ID, collecting event type (event/state), collecting log level and collecting task packet tail
And step S4: the vehicle end receives the data acquisition rule issued by the cloud end, and issues the data acquisition rule to each vehicle-mounted application through the buried point management assembly;
step S5: the vehicle-end locally stores and summarizes the log cache of the collected data, specifically: the vehicle end locally stores the log cache of the collected data through the embedded point component sub-node, and after the local cache upper limit or the maximum cache time is reached, the embedded point component sub-node is gathered to the embedded point management component main node through the internal standard interface of the distributed engine, for example: the internal standard interface of the distributed engine collects the cache data into a main node of the buried point management component through an SOMEIP protocol;
step S6: the vehicle end uploads the log cache to the cloud end in an encrypted form, and specifically: after receiving the acquisition rule, the vehicle-mounted application terminal SDK acquires data in a JSON form according to the rule, uploads the acquired data to a sub-node of a buried point management component where the vehicle-mounted application is located, the buried point management component caches the acquired log locally, and after the local cache upper limit or the maximum cache time is reached, the sub-node of the buried point management component is gathered into a main node of the buried point management component through a standard interface inside a distributed engine;
the following are exemplary: the main node of the buried point management assembly caches collected data uploaded by each sub-node in a JSON form locally, when the cache reaches an uploading trigger rule, the data are uploaded to the cloud in an encryption form, data reporting supports file form reporting, file splitting is carried out on overlarge data packets, and a breakpoint continuous transmission and failure retransmission mechanism is supported in the uploading process.
Step S7: the cloud server decrypts and unpacks the uploaded data, formats and analyzes the unpacked data, and stores the data into a data analysis engine;
preferably, the method further comprises the following steps on the basis of the steps S1-S7: the cloud buried point performs statistical analysis on the collected data according to the requirements of operators and displays the data in a chart form at the front end.
In the method steps disclosed in the above embodiments, the method steps are expressed as a series of action combinations for simplicity of description, but those skilled in the art should understand that the embodiments are not limited by the described action sequence, because some steps can be performed in other sequences or simultaneously according to the embodiments. 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.
The architecture diagram of the vehicle-mounted distributed dynamic data collection system shown in fig. 2 specifically includes:
the data buried point acquisition SDK code embedding module is used for embedding an SDK code capable of automatically acquiring data buried points in vehicle-mounted application;
the cloud embedded point configuration management module is used for carrying out embedded point configuration management on the cloud;
the data acquisition rule configuration module is used for configuring data acquisition rules based on data types required by data analysis, receiving the data acquisition rules issued by the cloud end, and issuing the data acquisition rules to each vehicle-mounted application terminal through the sub-nodes of the buried point management assembly;
the vehicle end locally stores the log cache of the acquired data through the embedded point component sub-node, and after the local cache upper limit or the maximum cache time is reached, the embedded point component sub-node is gathered into the embedded point management component main node through a standard interface inside a distributed engine;
the vehicle-end data encryption sub-packet uploading module uploads the acquired data to the cloud end in an encryption form after the log cache reaches an uploading trigger rule;
and the cloud decryption and unpacking analysis module is used for decrypting and unpacking the uploaded data, formatting and analyzing the unpacked data and storing the unpacked data into the data analysis engine.
It should be noted that, although only the data embedded point acquisition SDK code embedding module, the cloud embedded point configuration management module, the data acquisition rule configuration module, the log cache local storage module, the vehicle-side data encryption sub-package uploading module and the cloud decryption and de-package analyzing module are disclosed in the present system, the composition of the present system is not limited to the above basic functional modules, but rather, the present invention is to express the meaning that: on the basis of the basic function modules, a person skilled in the art may add one or more function modules arbitrarily in combination with the prior art to form an infinite number of embodiments or technical solutions, that is, the present system is open rather than closed, and the protection scope of the claims of the present invention should not be considered to be limited to the disclosed basic function modules because the present embodiment discloses only individual basic function modules. Meanwhile, for convenience of description, the above devices are described as being divided into various units and modules by functions, respectively. Of course, the functions of the units and modules may be implemented in one or more software and/or hardware when implementing the invention.
The above-described embodiments of the apparatus are merely schematic, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
As shown in fig. 3, the flow chart of the vehicle-end-based vehicle-mounted distributed dynamic data embedded point acquisition method specifically includes:
v1, embedding an SDK code capable of automatically collecting data embedded points in the vehicle-mounted application;
v2, the vehicle end receives the data acquisition rule issued by the cloud end and issues the data acquisition rule to each vehicle-mounted application, specifically, the data acquisition rule is issued to each vehicle-mounted application through the buried point management assembly, and the data acquisition rule is configured based on the data analysis requirement;
v3, receiving log cache data uploaded by the vehicle, and decrypting and unpacking the uploaded data;
and V4, formatting and analyzing the unpacked data, and storing the data in a data analysis engine at the cloud.
For the method steps disclosed in the above embodiments, the method steps are expressed as a series of action combinations for simplicity of description, but those skilled in the art should understand that the embodiments are not limited by the described action sequences, because some steps can be performed in other sequences or simultaneously according to the embodiments of the present invention. Further, those of skill 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 embodiments of the invention.
As shown in fig. 4, the vehicle-mounted distributed dynamic data collection system based on the vehicle end specifically includes:
the vehicle-end data automatic acquisition SDK code embedding module is used for embedding an SDK code capable of automatically acquiring data embedded points in vehicle-mounted application;
the vehicle-end data acquisition rule receiving module is used for receiving the data acquisition rules issued by the cloud end and issuing the data acquisition rules to each vehicle-mounted application
The vehicle-end log cache summarizing module is used for locally storing and summarizing the log cache of the acquired data; when the log cache triggers an uploading rule, the vehicle end uploads the log cache to the cloud end in an encrypted form;
it should be noted that, although only the vehicle-end data automatic acquisition SDK code embedding module, the vehicle-end data acquisition rule receiving module and the vehicle-end log caching and summarizing module are disclosed in the present system, the composition of the present system is not limited to the above basic function modules, but rather, the present invention is to be expressed as: on the basis of the basic functional modules, a person skilled in the art can combine the prior art to add one or more functional modules arbitrarily to form an infinite number of embodiments or technical solutions, that is, the present system is open rather than closed, and the protection scope of the present invention claims should not be considered to be limited to the disclosed basic functional modules because the present embodiment discloses only individual basic functional modules. Meanwhile, for convenience of description, the above devices are described as being divided into various units and modules by functions, respectively. Of course, the functions of the units and modules may be implemented in one or more software and/or hardware when implementing the invention.
The above-described embodiments of the apparatus are merely schematic, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
As shown in fig. 5, the flow chart of the cloud-based vehicle-mounted distributed dynamic data embedded point collection method specifically includes:
step C1, carrying out buried point configuration management at the cloud end, and configuring a data acquisition rule based on the requirement of data analysis;
step C2, the data acquisition rule is issued to a main node of a buried point management component at the vehicle end;
step C3, receiving the log cache data uploaded by the vehicle, and decrypting and unpacking the uploaded data;
and step C4, formatting and analyzing the unpacked data, and storing the data into a data analysis engine at the cloud end.
For the method steps disclosed in the above embodiments, the method steps are expressed as a series of action combinations for simplicity of description, but those skilled in the art should understand that the embodiments are not limited by the described action sequences, because some steps can be performed in other sequences or simultaneously according to 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.
As shown in fig. 6, the cloud-based vehicle-mounted distributed dynamic data collection system specifically includes:
the cloud buried point configuration management module is used for carrying out buried point configuration management at the cloud and configuring a data acquisition rule based on the requirement of data analysis;
the cloud issuing data acquisition rule module is used for issuing the data acquisition rule to a main node of a buried point management component of the vehicle end;
the cloud log cache data receiving module is used for receiving log cache data uploaded by the vehicle and decrypting and unpacking the uploaded data;
and the cloud data receiving, analyzing and storing module is used for carrying out formatting analysis on the data uploaded by the vehicle and storing the data into a cloud data analysis engine.
It is noted that although only the XX module is disclosed in the present system, it is not meant to limit the composition of the present system to the above-described basic functional modules, but rather, the present invention is intended to express the meaning that: on the basis of the basic functional modules, a person skilled in the art can combine the prior art to add one or more functional modules arbitrarily to form an infinite number of embodiments or technical solutions, that is, the present system is open rather than closed, and the protection scope of the present invention claims should not be considered to be limited to the disclosed basic functional modules because the present embodiment discloses only individual basic functional modules. Meanwhile, for convenience of description, the above devices are described as being divided into various units and modules by functions, respectively. Of course, the functions of the units and modules may be implemented in one or more software and/or hardware when implementing the invention.
The above-described embodiments of the apparatus are merely schematic, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiment. One of ordinary skill in the art can understand and implement without inventive effort.
As shown in the system topology diagram of the embodiment shown in fig. 7, in this embodiment, based on the mutual combination and refinement of the embodiments shown in fig. 1 to fig. 6, the cooperative work flow between the vehicle end and the cloud end and the internal architectures of the vehicle end system and the cloud end system can be seen through the technical content disclosed in this embodiment:
step 1, developing a vehicle-mounted application data embedded point SDK, wherein the SDK has the functions of identifying a user, collecting data, performing local cache management (setting a local cache upper limit value and deleting all events cached locally), reporting data, performing visual analysis and the like, has an embedded point configuration management interface, and supports cloud remote configuration. And an SDK code is embedded in the application, so that automatic acquisition and point burying of vehicle-mounted application data are realized.
And 2, carrying out embedded point configuration management by the cloud, wherein the embedded point configuration management comprises event embedded point management, embedded point uploading management and visual embedded point management. The event buried point management comprises the creation of buried point events (buried point names and buried point identifiers) and the setting of whether the buried point events are effective or not; the embedded point uploading management sets an embedded point acquired data packet uploading trigger rule, and the configuration items are as follows: the maximum interval time of each uploading plus the maximum byte number of each uploading; after the visual embedded point management can enter the embedded point mode through the cloud, a user clicks an element needing to be embedded and makes a corresponding selection according to an interface prompt to create a corresponding embedded point event, so that a friendly embedded point creating mode is conveniently provided for personnel without code capacity.
And 3, configuring data acquisition rules based on data type support requirements required by data analysis, and issuing the rules to the main node of the embedded point management component on the vehicle through the cloud after configuration is completed.
And 4, after receiving the data acquisition rule of the cloud, the embedded point management component main node on the vehicle issues the rule to each embedded point management component sub-node through a distributed engine internal standard interface (SOMEIP protocol), and the sub-node issues to each APP terminal.
And 5, after receiving the acquisition rule, the vehicle-mounted application terminal SDK acquires data in a JSON form according to the rule, uploads the acquired data to a sub-node of the embedded point management component where the vehicle-mounted application is located, the embedded point management component caches the acquired log locally, and after the local cache upper limit or the maximum cache time is reached, the sub-node of the embedded point management component is gathered into the main node of the embedded point management component through a distributed engine internal standard interface (SOMEIP protocol).
And 6, caching the collected data in the JSON form uploaded by each sub-node in a local place by the main node of the buried point management assembly, uploading the data to the cloud in an encrypted form after the cache reaches an uploading trigger rule, and compressing the data by using a ZIP compression algorithm before transmission to reduce the data transmission amount. Considering that the network environment in the vehicle is unstable, the data reporting supports the reporting in a file form, and the file splitting is carried out on an oversize data packet; a breakpoint continuous transmission and failure retransmission mechanism is supported, and the success rate of file uploading under the weak network condition is ensured; and after the file is uploaded, MD5 verification is adopted to ensure that the uploaded file is complete. Remarking: and data encryption is carried out by adopting a DES + RSA mode.
And 7, after the data are uploaded to the cloud, decrypting and unpacking the data by the cloud service. And the cloud service formats and analyzes the unpacked acquired data and stores the data into an Elastic Search. The cloud buried point performs statistical analysis on the collected data according to the requirements of operators, and finally displays the data to the user in a chart form at the front end for the operators to use.
As can be seen from fig. 7, in this embodiment, the vehicle end is provided with a vehicle driving dynamic control system VDC, a Cockpit area controller CSC (Cockpit Space Center), and an automatic driving control system HAD, wherein the vehicle-mounted application in the vehicle driving dynamic control system VDC performs data interaction with the slave node of the embedded point management component, and the vehicle-mounted application in the automatic driving control system HAD performs data interaction with the slave node of the embedded point management component.
Meanwhile, data interaction of data uploading and configuration issuing is carried out between the vehicle driving dynamic control system VDC and the cabin domain controller CSC, data interaction of data uploading and configuration issuing is carried out between the automatic driving control system HAD and the cabin domain controller CSC, a main node of the embedded point management assembly is arranged in the cabin domain controller CSC, data interaction is carried out between the main node of the embedded point management assembly and the cloud end, embedded point configuration management rules are received, the embedded point data are collected and then uploaded to the cloud end.
In this embodiment, the cloud is provided with a buried point configuration management module and a buried point service module, wherein the buried point configuration management module is used for performing buried point configuration management, and specifically includes: the system comprises an event embedded point management module, an embedded point uploading management module and a visual embedded point management module, wherein the embedded point service module is used for analyzing, storing, inquiring, analyzing data and visually displaying graphs of embedded point data uploaded from a vehicle end.
As shown in fig. 8, the present invention also discloses an electronic device and a storage medium corresponding to the vehicle-mounted distributed dynamic data collection method and system:
an electronic device, comprising: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus; the memory has stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of the on-board distributed dynamic data buried point acquisition method.
A computer readable storage medium storing a computer program executable by an electronic device, which when run on the electronic device, causes the electronic device to perform the steps of an in-vehicle distributed dynamic data pit collection method.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The electronic device includes a hardware layer, an operating system layer running on top of the hardware layer, and an application layer running on top of the operating system. The hardware layer includes hardware such as a Central Processing Unit (CPU), a Memory Management Unit (MMU), and a Memory. The operating system may be any one or more computer operating systems that implement control of the electronic device through a Process (Process), such as a Linux operating system, a Unix operating system, an Android operating system, an iOS operating system, or a windows operating system. In the embodiment of the present invention, the electronic device may be a handheld device such as a smart phone and a tablet computer, or an electronic device such as a desktop computer and a portable computer, which is not particularly limited in the embodiment of the present invention.
The execution main body of the electronic device control in the embodiment of the present invention may be the electronic device, or a functional module capable of calling a program and executing the program in the electronic device. The electronic device may acquire the firmware corresponding to the storage medium, the firmware corresponding to the storage medium is provided by a vendor, and the firmware corresponding to different storage media may be the same or different, which is not limited herein. After the electronic device acquires the firmware corresponding to the storage medium, the firmware corresponding to the storage medium may be written into the storage medium, specifically, the firmware corresponding to the storage medium is burned into the storage medium. The process of burning the firmware into the storage medium can be realized by adopting the prior art, and details are not described in the embodiment of the present invention.
The electronic device may further acquire a reset command corresponding to the storage medium, where the reset command corresponding to the storage medium is provided by a vendor, and the reset commands corresponding to different storage media may be the same or different, and are not limited herein.
At this time, the storage medium of the electronic device is a storage medium in which the corresponding firmware is written, and the electronic device may respond to the reset command corresponding to the storage medium in which the corresponding firmware is written, so that the electronic device resets the storage medium in which the corresponding firmware is written according to the reset command corresponding to the storage medium. The process of resetting the storage medium according to the reset command can be implemented by the prior art, and is not described in detail in the embodiment of the present invention.
In this embodiment, the present invention further discloses a vehicle and a cloud server:
a vehicle, comprising in particular:
the electronic equipment is used for realizing a vehicle-mounted distributed dynamic data embedded point acquisition method based on a vehicle end;
a processor that runs a program, and executes a step of a vehicle-end-based on-vehicle distributed dynamic data buried point acquisition method for data output from the electronic device when the program runs;
a storage medium for storing a program that executes, when running, steps of a vehicle-end-based on-vehicle distributed dynamic data buried point acquisition method for data output from an electronic device;
a cloud server comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; the memory stores a cloud-based vehicle-mounted distributed dynamic data buried point acquisition system, and when the computer program is executed by the processor, the processor executes the steps of the vehicle-mounted distributed dynamic data buried point acquisition method based on the vehicle end.
In this embodiment, the vehicle and the cloud server can implement cooperative work of the vehicle end and the cloud end by establishing network connection, so as to implement the distributed dynamic data embedded point acquisition method.
The embodiment buries the point to vehicle automatic data collection through the cooperation of vehicle end and high in the clouds, bury the point configuration management and set up the data acquisition rule in the high in the clouds, carry out local storage and summarize to data log cache, upload to the data analysis engine at last and save and the graphical presentation, this embodiment can carry out local storage and summarize to the log cache of data collection in real time, and upload to the high in the clouds in order to encrypt the form, decipher by the high in the clouds, unpack and formalization analysis and storage, carry out the graphical presentation at last, effectively realize the collection of operation and maintenance relevant data, report and problem feedback recurrence, support operation and maintenance perception and real-time diagnosis in advance.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
It should be noted that certain terms are used throughout the description and following claims to refer to particular components. As one skilled in the art will appreciate, vehicle manufacturers may refer to a component by different names. The description and claims do not intend to distinguish between components that differ in name but not function. In the following description and in the claims, the terms "include" and "comprise" are used in an open-ended fashion, and thus should be interpreted to mean "include, but not limited to. The following description is of the preferred embodiment for carrying out the invention and is made in the light of the generic principles of the description rather than the limitations on the scope of the invention. The scope of the present invention is defined by the appended claims.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of the technical solutions by those skilled in the art, and when the technical solutions are contradictory to each other or cannot be realized, such a combination of the technical solutions should not be considered to exist, and is not within the protection scope of the present invention.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
Those skilled in the art will appreciate that the modules in the devices in an embodiment may be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of a device for distributing messages according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website, or provided on a carrier signal, or provided in any other form.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (13)
1. A vehicle-mounted distributed dynamic data embedded point acquisition method is characterized by specifically comprising the following steps:
embedding an SDK code capable of automatically acquiring data embedded points into a vehicle-mounted application by a vehicle end;
the cloud carries out buried point configuration management;
the cloud configures data acquisition rules based on the requirements of data analysis;
the vehicle end receives the data acquisition rule issued by the cloud end and issues the data acquisition rule to each vehicle-mounted application;
the vehicle-side locally stores and summarizes the log cache of the collected data;
the vehicle end uploads the log cache to the cloud end in an encrypted form;
and the cloud server decrypts and unpacks the uploaded data, formats and analyzes the unpacked data, and stores the data into a data analysis engine.
2. The vehicle-mounted distributed dynamic data embedded point collection method according to claim 1, wherein the SDK code includes identification of a user, data collection, local data cache management, data reporting, and visualization analysis, and the local data cache management is used for setting a local cache upper limit value and deleting all events cached locally;
the cloud-based embedded point configuration management specifically comprises: event buried point management, buried point uploading management and visual buried point management, wherein:
the event embedded point management specifically comprises the steps of establishing an embedded point event and setting whether the embedded point event is effective or not;
the buried point uploading management specifically comprises the steps of setting a data packet uploading triggering rule collected by a buried point;
the visualized embedded point management specifically comprises the step of carrying out human-computer interaction with a user through a human-computer interaction interface.
3. The vehicle-mounted distributed dynamic data embedded point acquisition method according to claim 1, wherein the vehicle-mounted local storage and summarization of log cache of the acquired data are specifically as follows: the vehicle end locally stores the log cache of the acquired data through the embedded point component sub-node, and after the local cache upper limit or the maximum cache time is reached, the embedded point component sub-node is gathered into the embedded point management component main node through a distributed engine internal standard interface;
the vehicle end uploads the log cache to the cloud end in an encrypted form, and specifically comprises the following steps: after receiving the acquisition rule, the vehicle-mounted application terminal SDK acquires data in a JSON form according to the rule, uploads the acquired data to a sub-node of a buried point management component where the vehicle-mounted application is located, the buried point management component caches the acquired log locally, and after the local cache upper limit or the maximum cache time is reached, the sub-node of the buried point management component is gathered into a main node of the buried point management component through a standard interface inside a distributed engine;
the high in the clouds server decrypts and unpacks data, carries out formatting analysis to the collection data after unpacking to in the data analysis engine of storage, still include: and the cloud end carries out statistical analysis on the collected data and displays the data in a chart form at the front end.
4. A vehicle-mounted distributed dynamic data point-burying collection method based on a vehicle end is characterized by specifically comprising the following steps:
embedding an SDK code capable of automatically collecting data embedded points in vehicle-mounted application;
the vehicle end receives the data acquisition rule issued by the cloud and issues the data acquisition rule to each vehicle-mounted application, wherein: the data acquisition rule is configured based on data analysis requirements;
the vehicle-side carries out local storage and summarization on the log cache of the collected data;
when the log cache triggers the uploading rule, the vehicle end uploads the log cache to the cloud end in an encrypted form.
5. A vehicle-mounted distributed dynamic data embedded point acquisition method based on a cloud end is characterized by specifically comprising the following steps:
carrying out buried point configuration management at the cloud end, and configuring a data acquisition rule based on the requirement of data analysis;
the data acquisition rule is issued to a main node of a buried point management component at a vehicle end;
receiving log cache data uploaded by a vehicle, and decrypting and unpacking the uploaded data;
and formatting and analyzing the unpacked data, and storing the data into a data analysis engine at the cloud.
6. The utility model provides a vehicle-mounted distributed dynamic data buries a collection system which characterized in that specifically includes:
the data buried point acquisition SDK code embedding module is used for embedding an SDK code capable of automatically acquiring data buried points in vehicle-mounted application;
the cloud embedded point configuration management module is used for carrying out embedded point configuration management on the cloud;
the data acquisition rule configuration module is used for configuring data acquisition rules based on data types required by data analysis, receiving the data acquisition rules issued by the cloud end, and issuing the data acquisition rules to each vehicle-mounted application terminal through the sub-nodes of the buried point management assembly;
the vehicle end locally stores the log cache of the acquired data through the embedded point component sub-node, and after the upper limit of the local cache or the maximum cache time is reached, the embedded point component sub-node gathers the data into the embedded point management component main node through a distributed engine internal standard interface;
the vehicle-end data encryption sub-packet uploading module uploads the acquired data to the cloud end in an encryption form after the log cache reaches an uploading trigger rule;
and the cloud terminal decrypts and unpacks the uploaded data, formats and analyzes the unpacked data, and stores the unpacked data into a data analysis engine.
7. The utility model provides a vehicle-mounted distributed dynamic data buries a little collection system based on car end which characterized in that specifically includes:
the vehicle-end data automatic acquisition SDK code embedding module is used for embedding an SDK code capable of automatically acquiring data embedded points in vehicle-mounted application;
the vehicle-end data acquisition rule receiving module is used for receiving the data acquisition rules issued by the cloud end and issuing the data acquisition rules to each vehicle-mounted application
The vehicle-end log cache summarizing module is used for locally storing and summarizing the log cache of the acquired data; when the log cache triggers an uploading rule, the vehicle end uploads the log cache to the cloud end in an encrypted form;
8. the utility model provides a vehicle-mounted distributed dynamic data buries a collection system based on high in clouds which characterized in that specifically includes:
the cloud buried point configuration management module is used for carrying out buried point configuration management at the cloud and configuring a data acquisition rule based on the requirement of data analysis;
the cloud issuing data acquisition rule module is used for issuing the data acquisition rule to a main node of a buried point management component of the vehicle end;
the cloud log cache data receiving module is used for receiving log cache data uploaded by a vehicle and decrypting and unpacking the uploaded data;
and the cloud data receiving, analyzing and storing module is used for formatting and analyzing the data uploaded by the vehicle and storing the data into a data analysis engine at the cloud.
9. The cloud-based vehicle-mounted distributed dynamic data embedded point acquisition system according to claim 8, further comprising a cloud embedded point data visualization display module, configured to perform statistical analysis on the acquired data and display the data in a chart form at the front end.
10. An electronic device, comprising: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus; the memory has stored therein a computer program which, when executed by the processor, causes the processor to carry out the steps of the method of any one of claims 1 to 5.
11. A computer-readable storage medium, characterized in that it stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the method of any one of claims 1 to 5.
12. A vehicle, characterized by specifically including:
the electronic equipment is used for realizing a vehicle-mounted distributed dynamic data embedded point acquisition method based on a vehicle end;
a processor that runs a program, and performs a step of a vehicle-end-based on-vehicle distributed dynamic data buried point acquisition method for data output from the electronic device when the program is running;
and a storage medium for storing a program which, when executed, performs the steps of the vehicle-end based on-vehicle distributed dynamic data embedded point acquisition method for data output from the electronic device.
13. A cloud server comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; the memory stores the cloud-based onboard distributed dynamic data collection system of claim 8 or 9, and when the computer program is executed by the processor, the processor is caused to execute the steps of the method of claim 5.
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