CN114900564A - Big data analysis system based on DTU module - Google Patents
Big data analysis system based on DTU module Download PDFInfo
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- CN114900564A CN114900564A CN202210401506.8A CN202210401506A CN114900564A CN 114900564 A CN114900564 A CN 114900564A CN 202210401506 A CN202210401506 A CN 202210401506A CN 114900564 A CN114900564 A CN 114900564A
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- 238000007405 data analysis Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 11
- 238000013500 data storage Methods 0.000 claims abstract description 7
- 238000004891 communication Methods 0.000 claims abstract description 5
- 238000012360 testing method Methods 0.000 abstract description 18
- 238000013461 design Methods 0.000 abstract description 5
- 238000012544 monitoring process Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 11
- 238000000034 method Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 229920006248 expandable polystyrene Polymers 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/16—Implementation or adaptation of Internet protocol [IP], of transmission control protocol [TCP] or of user datagram protocol [UDP]
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses a big data analysis system based on a DTU module, which comprises: an EPS controller; a DTU module: the system comprises a GPS positioning module, a data processing module, an internal OTA upgrading module and a communication module; a server; the system comprises a data processing module and a data storage module; the upper computer client comprises a map calibration module, an operation recording module, a current state module, a data calibration module and an upper OTA upgrading module; one end of the DTU module is connected with the vehicle-mounted OBD interface, one end of the DTU module is electrically connected with the EPS controller through the CAN bus, the DTU module and the server are connected through a TCP/IP protocol, the server and an upper computer client are connected through the TCP/IP protocol, or a real-time EPS controller parameter value generated by a curve test circuit is compared and analyzed with a design value, so that the design is more convincing. The remote monitoring and debugging function of the system does not need testers to go to the field vehicle-mounted test in person, and time is saved.
Description
Technical Field
The invention relates to the field of EPS (expandable polystyrene) systems, in particular to a big data analysis system based on a DTU (data transfer unit) module.
Background
Products of an electric power steering system (EPS) need to go through the technical service stages of the prior stages such as sample vehicle calibration, small batch testing and the like before mass production, in the process, a controller of the EPS often needs to carry out data analysis, fault processing, software upgrading and the like in the vehicle running process, technicians usually receive related requirements and then directly carry out technical service on the site, on one hand, high labor cost and travel cost are needed, on the other hand, the data on the site cannot be analyzed at the first time, and the problems of the products cannot be solved in time; meanwhile, different drivers and different technical engineers have different subjective feelings on the same EPS controller, the feedback information cannot form unified knowledge, and the data of the real vehicle in the road test cannot be recorded for a long time, so that sufficient data cannot be obtained in the problem analysis of the EPS controller.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a large data analysis system based on a DTU module, the running parameters of an EPS controller are remotely recorded in real time in the whole driving process, and the problem that a tester cannot obtain related data information at the first time is solved. The problem analysis is clearer and more specific through the relevant data in the database and the feedback one-to-one evidence of the test run personnel. The system can record a plurality of vehicles in the same time period, and testers can transversely compare data of the tested vehicles of a plurality of controllers of the same type. Due to the fact that the states of the EPS controllers can change along with the change of road conditions, the EPS controllers can be designed more convincingly by comparing and analyzing real-time EPS controller parameter values generated by a straight line test circuit or a curve test circuit with design values. The remote monitoring and debugging function of the system does not need testers to go to the field vehicle-mounted test in person, and time is saved.
In order to solve the technical problems, the invention provides the following technical scheme: the big data analysis system based on the DTU module comprises
An EPS controller;
a DTU module: the system comprises a GPS positioning module, a data processing module, an internal OTA upgrading module and a communication module;
a server; the system comprises a data processing module and a data storage module;
the upper computer client comprises a map calibration module, an operation recording module, a current state module, a data calibration module and an upper OTA upgrading module;
the one end and the on-vehicle OBD interface connection of DTU module, and one end pass through CAN bus and EPS controller electric connection, connect through TCP/IP agreement between DTU module and the server, server and host computer client are connected through TCP/IP agreement.
As a preferred technical solution of the present invention, the map calibration module is connected to a data storage module in the server.
As a preferred technical solution of the present invention, the operation recording module is electrically connected to an external display device, the external display device includes but is not limited to an LCD touch screen, and one end of the external display device is electrically connected to the data calibration module.
As a preferred technical solution of the present invention, one end of the current state module is electrically connected to the EPS controller.
As a preferred technical solution of the present invention, one side of the data calibration module is electrically connected to the current state module.
As a preferred technical scheme of the invention, the upper OTA upgrading module is electrically connected with the internal OTA upgrading module, and one end of the internal OTA upgrading module is electrically connected with the EPS controller.
As a preferred technical solution of the present invention, the GPS positioning module is configured to analyze the received GNGLL protocol information and obtain longitude and latitude coordinates and directions.
Compared with the prior art, the invention can achieve the following beneficial effects:
the system can remotely record the operation parameters of the EPS controller in the whole driving process in real time, and solves the problem that testers cannot obtain relevant data information at the first time. The problem analysis is clearer and more specific through the relevant data in the database and the feedback one-to-one evidence of the test run personnel. And this system can carry out the record simultaneously to a plurality of cars in same time quantum, and the tester can be through carrying out horizontal comparison to the data of the vehicle under test of many the same type controllers. Due to the fact that the states of the EPS controllers can change along with the change of road conditions, the EPS controllers can be designed more convincingly by comparing and analyzing real-time EPS controller parameter values generated by a straight line test circuit or a curve test circuit with design values. The remote monitoring and debugging function of the system does not need testers to go to the field vehicle-mounted test in person, and time is saved.
Drawings
FIG. 1 is a block diagram of an upstream data structure according to the present invention;
FIG. 2 is a block diagram of a downstream data structure according to the present invention;
FIG. 3 is a block diagram of the DTU module structure of the present invention;
FIG. 4 is a block diagram of a multi-controller connection architecture of the present invention;
FIG. 1-1 is a schematic diagram of parameter information according to the present invention;
FIGS. 1-2 are schematic diagrams of coordinate information of the present invention;
FIGS. 1-3 are schematic diagrams of data messages according to the present invention;
FIGS. 1-4 are schematic diagrams of setup information for the present invention;
FIGS. 1-5 are schematic diagrams of query result data according to the present invention;
FIGS. 1-6 are schematic diagrams of JSON packaging of the present invention;
fig. 1-7 are schematic diagrams of encapsulated CAN extension frame data according to the present invention.
Detailed Description
The present invention will be further described with reference to specific embodiments for the purpose of facilitating an understanding of technical means, characteristics of creation, objectives and functions realized by the present invention, but the following embodiments are only preferred embodiments of the present invention, and are not intended to be exhaustive. Based on the embodiments in the implementation, other embodiments obtained by those skilled in the art without any creative efforts belong to the protection scope of the present invention. The experimental methods in the following examples are conventional methods unless otherwise specified, and materials, reagents and the like used in the following examples are commercially available unless otherwise specified.
Example (b):
as shown in FIGS. 1-4, the present invention provides a DTU module-based big data analysis system, comprising
An EPS controller;
a DTU module: the system comprises a GPS positioning module, a data processing module, an internal OTA upgrading module and a communication module;
a server; the system comprises a data processing module and a data storage module;
the upper computer client comprises a map calibration module, an operation recording module, a current state module, a data calibration module and an upper OTA upgrading module;
one end of the DTU module is connected with the vehicle-mounted OBD interface, one end of the DTU module is electrically connected with the EPS controller through the CAN bus, the DTU module is connected with the server through a TCP/IP protocol, and the server is connected with the upper computer client through the TCP/IP protocol.
In other embodiments, the map calibration module is connected with a data storage module in the server.
In other embodiments, the operation recording module is electrically connected to an external display device, the external display device includes but is not limited to an LCD touch screen, and one end of the external display device is electrically connected to the data calibration module.
In other embodiments, one end of the current state module is electrically connected to the EPS controller.
In other embodiments, one side of the data calibration module is electrically connected to the current status module.
In other embodiments, the upper OTA upgrading module is electrically connected to the internal OTA upgrading module, and one end of the internal OTA upgrading module is electrically connected to the EPS controller.
In other embodiments, the GPS positioning module is configured to analyze the received GNGLL protocol information and obtain longitude and latitude coordinates and directions.
The big data analysis system comprises an EPS controller, a DTU communication module, a cloud server and an upper computer client; a GPS positioning unit is arranged in the DTU module, and data interaction and processing between the EPS controller and the cloud server are carried out through a vehicle-mounted CAN network and a wireless 4G network; the cloud server side realizes storage and processing of the EPS controller operation data collected by monitoring, and can inquire and access the server data through the upper computer client; the upper computer client is a tool for the user to remotely operate the EPS controller, and the client is designed with functions of map position connection, historical record query, running state display, EPS control data calibration, OTA online upgrade and the like.
1) The DTU module is inserted into an OBD port of the tested vehicle, and the tested vehicle can normally run on a road. The DTU module parses the received parameter information (as shown in fig. 1-1) in the EPS controller and the coordinate information (as shown in fig. 1-2) obtained by the GPS, performs JSON encapsulation on the parsed data (as shown in fig. 1-3) (this process is shown in fig. 3), and then sends the data to the server through the TCP/IP protocol. The server carries out JSON analysis on the received data and stores values corresponding to the analyzed data DTUID, CANID, Value, GPGLL and TS in a database of the server.
2) After the upper computer client is connected to the designated DTU module, the DTU module reports the data information of the server, and after the data information is stored in the database, the data information (shown in figures 1-3) is automatically sent to the upper computer client. And after the upper computer client receives the data analysis, calibrating and displaying the coordinate information of the GPGLL in a map calibration page. The above process is shown in fig. 1.
3) The tester can select the start time and end time of the road section (curve or straight line) to be tested from the route marked by the map marking page.
4) This time period is set by setting in a "running record" page, sending the packaged setting information (as shown in fig. 1-4) to the server. The server carries out JSON analysis on the received data, and queries the analyzed values of the data Param, the TSStart and the TSEnd in a database as conditions. The server sends the inquired results (as shown in fig. 1-5) to the upper computer client in sequence. And the upper computer draws the Value data Value analyzed by the JSON into a current page chart so that an observer can specifically analyze the running state of the EPS controller through the information fed back by the pilot and the EPS controller parameter information corroboration.
5) For an undesirable state of the EPS controller, a tester may modify the parameters of the EPS controller through a "parameter calibration" page, and then JSON encapsulate the modified values (as shown in fig. 1-6) and send the modified values to the server. And the server analyzes the JSON data, the analyzed values of the DTUID, the Param, the Value and the TS are stored in a database, and then the JSON data is sent to the DTU module again. The DTU module performs JSON parsing on the received data, encapsulates the parsed values of Param and Value into CAN extended frame data (as shown in fig. 1-7), and sends the CAN extended frame data to corresponding parameters in the EPS controller (as shown in fig. 2).
Finally, the running parameters of the EPS controller are remotely recorded in real time in the whole driving process, so that the problem that a tester cannot obtain related data information at the first time is solved. The problem analysis is clearer and more specific through the relevant data in the database and the feedback one-to-one evidence of the test run personnel. And this system can carry out the record simultaneously to a plurality of cars in same time quantum, and the tester can be through carrying out horizontal comparison to the data of the vehicle under test of many the same type controllers. Due to the fact that the states of the EPS controllers can change along with the change of road conditions, the EPS controllers can be designed more convincingly by comparing and analyzing real-time EPS controller parameter values generated by a straight line test circuit or a curve test circuit with design values. The remote monitoring and debugging function of the system does not need testers to go to the field vehicle-mounted test in person, and time is saved.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. Big data analysis system based on DTU module, its characterized in that: comprises that
An EPS controller;
a DTU module: the system comprises a GPS positioning module, a data processing module, an internal OTA upgrading module and a communication module;
a server; the system comprises a data processing module and a data storage module;
the upper computer client comprises a map calibration module, an operation recording module, a current state module, a data calibration module and an upper OTA upgrading module;
the one end and the on-vehicle OBD interface connection of DTU module, and one end pass through CAN bus and EPS controller electric connection, connect through TCP/IP agreement between DTU module and the server, server and host computer client are connected through TCP/IP agreement.
2. The DTU module-based big data analysis system of claim 1, wherein: and the map calibration module is connected with the data storage module in the server.
3. The DTU module-based big data analysis system of claim 1, wherein: the operation recording module is electrically connected with an external display device, the external display device comprises but is not limited to an LCD touch screen, and one end of the external display device is electrically connected with the data calibration module.
4. The DTU module-based big data analysis system of claim 1, wherein: and one end of the current state module is electrically connected with the EPS controller.
5. The DTU module-based big data analysis system of claim 1, wherein: one side of the data calibration module is electrically connected with the current state module.
6. The DTU module-based big data analysis system of claim 1, wherein: the upper OTA upgrading module is electrically connected with the internal OTA upgrading module, and one end of the internal OTA upgrading module is electrically connected with the EPS controller.
7. The DTU module-based big data analysis system of claim 1, wherein: and the GPS positioning module is used for analyzing the received GNGLL protocol information and obtaining longitude and latitude coordinates and directions.
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Application publication date: 20220812 |