CN114596716A - Suspension road condition recognition system based on cloud computing platform and control method - Google Patents
Suspension road condition recognition system based on cloud computing platform and control method Download PDFInfo
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- CN114596716A CN114596716A CN202011308670.1A CN202011308670A CN114596716A CN 114596716 A CN114596716 A CN 114596716A CN 202011308670 A CN202011308670 A CN 202011308670A CN 114596716 A CN114596716 A CN 114596716A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Abstract
The invention relates to a suspension road condition recognition system based on a cloud computing platform and a control method thereof. Based on a cloud computing platform, real-time information of a vehicle is acquired through a sensor, a BDS positioning module and the like, advanced observation of a front road is achieved, optimization decision is carried out on a control strategy by combining big data in the cloud computing platform, so that working condition information of the front road can be processed in advance and an instruction is sent to a controller, and the performance of a suspension is improved. And the vehicle-mounted networking ECU is connected in series and in parallel with the original vehicle-mounted terminal ECU, and the signals are synchronous and serve as a closed loop system. When the network condition is delayed or bad, the original vehicle-mounted ECU can carry out original self-judgment on vehicle-mounted data and send out a control signal. Meanwhile, when the original vehicle terminal ECU fails, the internet ECU can judge the road condition and send a control signal through the database and the cloud computing platform, so that multi-layer guarantee is provided for the system, and the validity of data is guaranteed.
Description
Technical Field
The invention relates to the field of vehicle suspension system control, in particular to a suspension road condition recognition system based on a cloud computing platform and a control method.
Background
The identification of road conditions is not an alternative in the control of vehicle suspensions, particularly for commercial vehicles as well as special purpose vehicles. The current working condition identification mainly comprises real-time working condition identification and working condition pre-identification. The real-time working condition identification is an identification method which utilizes a vehicle-mounted sensor to collect data of a road in front of a vehicle and sends the collected data to a vehicle-mounted processor for real-time calculation so as to obtain a working condition result of the road in front. The real-time working condition identification has higher requirements on the precision of the sensor, the detection environment, the distance and the processing performance of the processor, and simultaneously has the inevitable real-time identification delay problem, thereby influencing the riding comfort, the operation stability and the safety of the vehicle.
The working condition pre-identification method can obviously reduce the existing delay problem. The working condition pre-identification is to acquire and process road information in advance through real vehicle acquisition, big data, a cloud computing platform and the like to obtain an identification analysis result, and send the analysis result to a vehicle control module before a vehicle reaches a target area. The existing working condition pre-identification method mainly comprises two methods: pre-identifying the front of the vehicle and pre-identifying the wheel base. The pre-identifying before vehicle is that a series of sensors are arranged at the front part of the vehicle; the wheelbase preview mainly utilizes the road surface displacement input signal of the front wheel as the future road surface input information of the rear wheel, and according to the structural characteristics of the vehicle, the method only has good control on the rear wheel, and does not adopt control measures on the front wheel.
Cloud computing is an increasing, usage and delivery model for internet-based related services, typically involving the provision of dynamically scalable and often virtualized resources over the internet. The cloud computing can achieve 10 trillion times per second of computing power, and the cloud computing with the strong computing power can simulate nuclear explosion, forecast climate change and market development trend. A user accesses the data center through a computer, a mobile phone and the like and operates according to the requirement of the user. The cloud computing is not specific to specific applications, and can construct diversified applications under the support of the cloud, and the same cloud can simultaneously support different applications to run. The cloud computing platform is also referred to as a cloud platform. Cloud computing platforms can be divided into 3 classes: the cloud computing platform comprises a storage type cloud platform taking data storage as a main part, a computing type cloud platform taking data processing as a main part and a comprehensive cloud computing platform taking computing and data storage processing into consideration.
Chinese patent CN201410560364.5 discloses a multi-operating mode suspension pre-aiming system based on intelligent network connection and a control method thereof, which can make the suspension applying the inertial container technology work in three operating modes of "comfort", "standard" and "energy storage", but can only be applied to the vehicle applying the inertial container technology, and at the same time, the three specific operating modes of the vehicle for special purpose cannot be reasonably applied and the influence of the vehicle speed is not considered.
Disclosure of Invention
The invention aims to provide a suspension road condition recognition system based on a cloud computing platform and a control method thereof.
In order to solve the technical problem, the invention provides a suspension road condition identification system based on a cloud computing platform, which comprises: the system comprises a cloud computing platform, a vehicle-mounted control unit, a sensor and a suspension control unit;
the vehicle-mounted control unit is electrically connected with the sensor and the suspension control unit respectively;
the vehicle-mounted control unit is in communication connection with the cloud computing platform;
the sensor module is suitable for detecting instant vehicle-mounted data and sending the data to the vehicle-mounted control unit;
the vehicle-mounted control unit is suitable for obtaining a control strategy according to vehicle-mounted data and sending the control strategy to the cloud computing platform;
the cloud computing platform is suitable for optimizing a control strategy according to historical vehicle-mounted data and sending the optimized control strategy to the vehicle-mounted control unit;
the vehicle-mounted control unit is adapted to control the suspension control unit in accordance with a control strategy or an optimized control strategy.
Further, the sensor module is also suitable for sending vehicle feedback information after controlling the suspension control unit to the vehicle-mounted control unit and then storing the vehicle feedback information in historical vehicle-mounted data of the cloud computing platform;
and the cloud computing platform is suitable for judging the quality of the current control strategy according to the vehicle feedback information and storing the quality.
Further, the sensor comprises a BDS module, a road information detection module, an acquisition module and a vehicle information acquisition module;
the vehicle-mounted data comprises position information, average speed information, surrounding vehicle information, road condition information of a front road, real-time speed and vehicle condition state operation information of a vehicle;
the BDS module is suitable for acquiring position information, average speed information and surrounding vehicle information of a vehicle; the road information detection and acquisition module is suitable for acquiring road condition information of a front road; the vehicle information acquisition module acquires real-time vehicle speed and vehicle condition state operation information.
Further, the vehicle-mounted control unit comprises an original vehicle-mounted terminal control ECU and a vehicle-mounted networking ECU;
the original vehicle-mounted terminal control ECU is electrically connected with the vehicle-mounted networking ECU, and the original vehicle-mounted terminal control ECU is communicated with the cloud computing platform through the vehicle-mounted networking ECU; and the number of the first and second electrodes,
when any one of the original vehicle-mounted terminal control ECU and the vehicle-mounted networking ECU fails, the other one can be used for controlling the suspension control unit.
The invention also provides a control method of the suspension road condition recognition system based on the cloud computing platform, which comprises the following steps: judging the network connection state of the vehicle-mounted control unit and the cloud computing platform;
judging whether an original vehicle-mounted terminal control ECU in the vehicle-mounted control unit fails or not;
obtaining a working condition mode of the suspension road working condition recognition system based on the cloud computing platform according to the network connection state and the judgment result of whether the original vehicle-mounted terminal control ECU is intact;
and controlling a suspension road condition recognition system based on the cloud computing platform according to the condition mode.
Further, if the network connection state of the vehicle-mounted control unit and the cloud computing platform is good, and the original vehicle-mounted terminal control ECU in the vehicle-mounted control unit is not invalid, the vehicle-mounted control unit is in a first working condition mode;
if the network connection state of the vehicle-mounted control unit and the cloud computing platform is good, and the original vehicle-mounted terminal in the vehicle-mounted control unit controls the ECU to be invalid, the vehicle-mounted control unit is in a second working condition mode;
and if the network connection state of the vehicle-mounted control unit and the cloud computing platform is poor, and the original vehicle-mounted terminal control ECU in the vehicle-mounted control unit is not invalid, the vehicle-mounted control unit is in a third working condition module type.
Further, in the first working condition mode, the control method for controlling the suspension road working condition recognition system based on the cloud computing platform comprises the following steps:
the method comprises the following steps: the BDS module positions the vehicle and acquires the position information, the average speed information and the surrounding environment vehicle information of the vehicle;
step two: the road information detection and acquisition module acquires road condition information of a road ahead, and the vehicle information acquisition module confirms real-time vehicle speed and vehicle condition state operation information;
step three: transmitting the acquired vehicle-mounted data to a vehicle-mounted database of a vehicle-mounted control unit;
step four: the vehicle-mounted control unit comprises a vehicle-mounted terminal ECU, a cloud computing platform, a network connection ECU, a vehicle-mounted terminal ECU and a vehicle-mounted terminal ECU, wherein the vehicle-mounted terminal ECU is used for acquiring vehicle-mounted data and transmitting the acquired vehicle-mounted data to the cloud computing platform;
step five: the original vehicle-mounted terminal ECU firstly judges the vehicle speed, directly adjusts all the suspensions of the vehicle according to the processing result when the vehicle speed meets the requirement, and firstly adjusts the vehicle speed and adjusts all the suspensions when the vehicle speed is overhigh;
step six: the vehicle information acquisition module collects the vehicle state information after the adjustment and the passing of the working condition, feeds the vehicle state information back to the cloud computing platform through the internet ECU, judges the quality of the decision according to the big data and provides the quality for the analysis of the following vehicle;
step seven: and the vehicle passes through the working condition and finishes the service.
Further, in the second working condition mode, the control method for controlling the suspension road working condition recognition system based on the cloud computing platform comprises the following steps:
the method comprises the following steps: the BDS module positions the vehicle and acquires the position information, the average speed information and the surrounding environment vehicle information of the vehicle;
step two: the road information detection and acquisition module acquires road condition information of a road ahead, and the vehicle information acquisition module confirms real-time vehicle speed and vehicle condition state operation information;
step three: transmitting the acquired vehicle-mounted data to a vehicle-mounted database of a vehicle-mounted control unit;
step four: the vehicle-mounted control unit comprises a vehicle-mounted terminal ECU, a cloud computing platform, a network connection ECU, a vehicle-mounted terminal ECU and a vehicle-mounted terminal ECU, wherein the vehicle-mounted terminal ECU is used for acquiring vehicle-mounted data and transmitting the acquired vehicle-mounted data to the cloud computing platform;
step five: the vehicle-mounted networking ECU firstly judges the vehicle speed, directly adjusts all the suspensions of the vehicle according to a processing result when the vehicle speed meets the requirement, and firstly adjusts the vehicle speed and adjusts all the suspensions when the vehicle speed is overhigh;
step six: the vehicle information acquisition module collects the vehicle state information after the adjustment and the passing of the working condition, feeds the vehicle state information back to the cloud computing platform through the internet ECU, judges the quality of the decision according to the big data and provides the quality for the analysis of the following vehicle;
step seven: and the vehicle passes through the working condition and finishes the service.
Further, in a third working condition mode, the control method for controlling the suspension road working condition recognition system based on the cloud computing platform comprises the following steps:
the method comprises the following steps: the BDS module positions the vehicle and acquires the position information, the average speed information and the surrounding environment vehicle information of the vehicle;
step two: the road information detection and acquisition module acquires road condition information of a road ahead, and the vehicle information acquisition module confirms real-time vehicle speed and vehicle condition state operation information;
step three: transmitting the acquired vehicle-mounted data to a vehicle-mounted database of a vehicle-mounted control unit;
step four: the original vehicle-mounted terminal ECU firstly judges the vehicle speed, directly adjusts all the suspensions of the vehicle according to the processing result when the vehicle speed meets the requirement, and firstly adjusts the vehicle speed and adjusts all the suspensions when the vehicle speed is overhigh;
step five: the vehicle information acquisition module collects the vehicle state information after the vehicle state information is adjusted and passes the working condition;
step six: the vehicle passes through the working condition and finishes the service;
step seven: after network connection is recovered, vehicle state information is fed back to the cloud computing platform through the internet ECU, and the quality of decision is judged according to big data and provided for rear vehicle analysis.
Further, the controlling the suspension road condition recognition system based on the cloud computing platform according to the condition mode further includes:
determining a vehicle type;
the priority of suspension adjustment of the front wheels and the rear wheels is determined according to the type of the vehicle.
The invention has the beneficial effects that the invention provides a suspension road working condition recognition system based on a cloud computing platform and a control method thereof, wherein the suspension road working condition recognition system based on the cloud computing platform comprises: the system comprises a cloud computing platform, a vehicle-mounted control unit, a sensor and a suspension control unit; the vehicle-mounted control unit is electrically connected with the sensor and the suspension control unit respectively; the vehicle-mounted control unit is in communication connection with the cloud computing platform; the sensor module is suitable for detecting instant vehicle-mounted data and sending the data to the vehicle-mounted control unit; the vehicle-mounted control unit is suitable for obtaining a control strategy according to vehicle-mounted data and sending the control strategy to the cloud computing platform; the cloud computing platform is suitable for optimizing a control strategy according to historical vehicle-mounted data and sending the optimized control strategy to the vehicle-mounted control unit; the vehicle-mounted control unit is adapted to control the suspension control unit in accordance with a control strategy or an optimized control strategy. Firstly, based on a cloud computing platform, real-time information of a vehicle is acquired through a sensor, a Beidou Satellite Navigation System (BDS) positioning module and the like, advanced observation of a front road is realized, and optimization decision is performed on a control strategy by combining big data in the cloud computing platform, so that working condition information of the front road can be processed in advance and an instruction is sent to a controller, and the performance of a suspension is improved; and secondly, the vehicle-mounted networking ECU is connected in series and in parallel with the original vehicle-mounted terminal ECU, and signals are synchronous and are used as a closed loop system. When the network condition is delayed or bad, the original vehicle-mounted ECU can carry out original self-judgment on vehicle-mounted data and send out a control signal. Meanwhile, when the original vehicle terminal ECU fails, the internet ECU can judge the road condition and send a control signal through the database and the cloud computing platform, so that a multi-layer guarantee is provided for the system, the validity of data is guaranteed, and the system has a stronger practical development prospect. Finally, through the data processing compatibility of the vehicle-mounted networking ECU and the computing capability of the cloud computing platform, the system has popularization value and significance for commercial vehicles and special purpose vehicles under the current large environment of intelligent automobiles and big data.
Drawings
The invention is further illustrated by the following examples in conjunction with the drawings.
Fig. 1 is a suspension road condition recognition system based on a cloud computing platform according to an embodiment of the present invention;
FIG. 2 is a schematic block diagram of a vehicle-mounted control unit according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating operation of a suspension identification system based on a cloud computing platform under a first working condition according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating operation of a suspension identification system based on a cloud computing platform under a second working condition according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating operation of a suspension identification system based on a cloud computing platform under a third working condition according to an embodiment of the present invention;
fig. 6 is a flowchart illustrating operation of a cloud computing platform based suspension identification system according to an embodiment of the present invention, wherein the control priority of the rear wheel suspension is higher than that of the front wheel suspension.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic views illustrating only the basic structure of the present invention in a schematic manner, and thus show only the constitution related to the present invention.
As shown in fig. 1, this embodiment 1 provides a suspension road condition recognition system based on a cloud computing platform, including: the system comprises a cloud computing platform, a vehicle-mounted control unit, a sensor and a suspension control unit; the vehicle-mounted control unit is electrically connected with the sensor and the suspension control unit respectively; the vehicle-mounted control unit is in communication connection with the cloud computing platform; the sensor module is suitable for detecting instant vehicle-mounted data and sending the data to the vehicle-mounted control unit; the vehicle-mounted control unit is suitable for obtaining a control strategy according to vehicle-mounted data and sending the control strategy to the cloud computing platform; the cloud computing platform is suitable for optimizing a control strategy according to historical vehicle-mounted data and sending the optimized control strategy to the vehicle-mounted control unit; the vehicle-mounted control unit is adapted to control the suspension control unit in accordance with a control strategy or an optimized control strategy.
The control strategy is that the vehicle-mounted control unit firstly judges the vehicle speed, directly adjusts the suspension when the vehicle speed meets the requirement, and firstly adjusts the vehicle speed and secondly adjusts the suspension when the vehicle speed is too high.
In this embodiment, the sensor module is further adapted to send vehicle feedback information after controlling the suspension control unit to the vehicle-mounted control unit and store the vehicle feedback information in historical vehicle-mounted data of the cloud computing platform; and the cloud computing platform is suitable for judging the quality of the current control strategy according to the vehicle feedback information and storing the quality. The current control strategy and the vehicle feedback information are stored in the cloud computing platform, so that historical data are further improved for subsequent vehicle analysis.
In this embodiment, the sensor includes a BDS module, a road information detection module, an acquisition module, and a vehicle information acquisition module; the vehicle-mounted data comprises position information, average speed information, surrounding vehicle information, road condition information of a front road, real-time speed and vehicle condition state operation information of a vehicle; the BDS module is suitable for acquiring position information, average speed information and surrounding vehicle information of a vehicle; the road information detection and acquisition module is suitable for acquiring road condition information of a front road; the vehicle information acquisition module acquires real-time vehicle speed and vehicle condition state operation information.
Referring to fig. 2, the vehicle-mounted control unit includes an original vehicle-mounted terminal control ECU and a vehicle-mounted networking ECU; the original vehicle-mounted terminal control ECU is electrically connected with the vehicle-mounted networking ECU, and the original vehicle-mounted terminal control ECU is communicated with the cloud computing platform through the vehicle-mounted networking ECU; and when any one of the original vehicle-mounted terminal control ECU and the vehicle-mounted networking ECU fails, the other one can control the suspension control unit.
Specifically, the vehicle-mounted control unit is respectively connected with the sensor and the suspension control unit through a CAN bus. And a network connection ECU in the vehicle-mounted control unit is connected with an original vehicle-mounted terminal ECU in series, and the cloud computing platform transmits data with the network connection ECU through an antenna. Under a normal mode, the internet ECU uploads the vehicle-mounted data to the cloud computing platform in time, big data in the cloud computing platform processes and analyzes the vehicle data and gives an optimal result, the result is sent back to an original vehicle-mounted terminal ECU in the vehicle-mounted control unit through the internet ECU, and the original vehicle-mounted terminal ECU combines the information of the vehicle and sends the information to a controller of the suspension control unit to control decision making. And in the place where the network signal temporarily disappears or is poor, the original vehicle-mounted terminal ECU in the control unit directly judges the vehicle data and sends the vehicle data to a controller of the suspension control unit for control decision. When the original vehicle-mounted terminal ECU fails, the networking ECU directly sends a control decision to a controller of the suspension control unit, so that the stability of the vehicle-mounted control unit is ensured.
The invention further provides a control method of the suspension road condition recognition system based on the cloud computing platform. The control method of the suspension road condition recognition system based on the cloud computing platform comprises the following steps:
s110: judging the network connection state of the vehicle-mounted control unit and the cloud computing platform;
s120: judging whether an original vehicle-mounted terminal control ECU in the vehicle-mounted control unit fails or not;
s130: obtaining a working condition mode of the suspension road working condition recognition system based on the cloud computing platform according to the network connection state and the judgment result of whether the original vehicle-mounted terminal control ECU is intact;
specifically, if the network connection state of the vehicle-mounted control unit and the cloud computing platform is good, and an original vehicle-mounted terminal in the vehicle-mounted control unit controls the ECU to be in a first working condition mode; if the network connection state of the vehicle-mounted control unit and the cloud computing platform is good, and the original vehicle-mounted terminal in the vehicle-mounted control unit controls the ECU to be invalid, the vehicle-mounted control unit is in a second working condition mode; and if the network connection state of the vehicle-mounted control unit and the cloud computing platform is poor, and the original vehicle-mounted terminal control ECU in the vehicle-mounted control unit is not invalid, the vehicle-mounted control unit is in a third working condition module type.
S140: and controlling a suspension road condition recognition system based on the cloud computing platform according to the condition mode.
Referring to fig. 3, fig. 3 is a flowchart illustrating operation of a suspension identification system based on a cloud computing platform under a first working condition according to an embodiment of the present invention. Under a first working condition mode, the control method for controlling the suspension road working condition recognition system based on the cloud computing platform comprises the following steps:
the method comprises the following steps: the BDS module positions the vehicle and acquires the position information, the average speed information and the surrounding environment vehicle information of the vehicle;
step two: the road information detection and acquisition module acquires road condition information of a road ahead, and the vehicle information acquisition module confirms real-time vehicle speed and vehicle condition state operation information;
step three: transmitting the acquired vehicle-mounted data to a vehicle-mounted database of a vehicle-mounted control unit;
step four: the vehicle-mounted control unit comprises a vehicle-mounted terminal ECU, a cloud computing platform, a network connection ECU, a vehicle-mounted terminal ECU and a vehicle-mounted terminal ECU, wherein the vehicle-mounted terminal ECU is used for acquiring vehicle-mounted data and transmitting the acquired vehicle-mounted data to the cloud computing platform;
step five: the original vehicle-mounted terminal ECU firstly judges the vehicle speed, directly adjusts all the suspensions of the vehicle according to the processing result when the vehicle speed meets the requirement, and firstly adjusts the vehicle speed and adjusts all the suspensions when the vehicle speed is overhigh; in this step, the control decision of the vehicle can also be selected manually by an experienced driver, i.e. the control strategy of the suspension can be changed by human operation.
Step six: the vehicle information acquisition module collects the vehicle state information after the adjustment and the passing of the working condition, feeds the vehicle state information back to the cloud computing platform through the internet ECU, judges the quality of the decision according to the big data and provides the quality for the analysis of the following vehicle;
step seven: and the vehicle passes through the working condition and finishes the service.
Fig. 4 is a flowchart illustrating operation of the suspension identification system based on the cloud computing platform under the second working condition according to the embodiment of the present invention. Under a second working condition mode, the control method for controlling the suspension road working condition recognition system based on the cloud computing platform comprises the following steps:
the method comprises the following steps: the BDS module positions the vehicle and acquires the position information, the average speed information and the surrounding environment vehicle information of the vehicle;
step two: the road information detection and acquisition module acquires road condition information of a road ahead, and the vehicle information acquisition module confirms real-time vehicle speed and vehicle condition state operation information;
step three: transmitting the acquired vehicle-mounted data to a vehicle-mounted database of a vehicle-mounted control unit;
step four: the vehicle-mounted control unit comprises a vehicle-mounted terminal ECU, a cloud computing platform, a network connection ECU, a vehicle-mounted terminal ECU and a vehicle-mounted terminal ECU, wherein the vehicle-mounted terminal ECU is used for acquiring vehicle-mounted data and transmitting the acquired vehicle-mounted data to the cloud computing platform;
step five: the vehicle-mounted networking ECU firstly judges the vehicle speed, directly adjusts all the suspensions of the vehicle according to a processing result when the vehicle speed meets the requirement, and firstly adjusts the vehicle speed and adjusts all the suspensions when the vehicle speed is overhigh; in this step, the control decision of the vehicle can also be selected manually by an experienced driver, i.e. the control strategy of the suspension can be changed by human operation.
Step six: the vehicle information acquisition module collects the vehicle state information after the adjustment and the passing of the working condition, feeds the vehicle state information back to the cloud computing platform through the internet ECU, judges the quality of the decision according to the big data and provides the quality for the analysis of the following vehicle;
step seven: and the vehicle passes through the working condition and finishes the service.
Fig. 5 is a flowchart illustrating operation of a suspension identification system based on a cloud computing platform under a third working condition according to an embodiment of the present invention; under a third working condition mode, the control method for controlling the suspension road working condition recognition system based on the cloud computing platform comprises the following steps:
the method comprises the following steps: the BDS module positions the vehicle and acquires the position information, the average speed information and the surrounding environment vehicle information of the vehicle;
step two: the road information detection and acquisition module acquires road condition information of a road ahead, and the vehicle information acquisition module confirms real-time vehicle speed and vehicle condition state operation information;
step three: transmitting the acquired vehicle-mounted data to a vehicle-mounted database of a vehicle-mounted control unit;
step four: the original vehicle-mounted terminal ECU firstly judges the vehicle speed, directly adjusts all the suspensions of the vehicle according to the processing result when the vehicle speed meets the requirement, and firstly adjusts the vehicle speed and adjusts all the suspensions when the vehicle speed is overhigh; in this step, the control decision of the vehicle can also be manually selected by an experienced driver, that is, the control strategy of the suspension can be changed by human operation.
Step five: the vehicle information acquisition module is used for collecting the vehicle state information after the vehicle state information is adjusted and passes through the working condition;
step six: the vehicle passes through the working condition and finishes the service;
step seven: after network connection is recovered, vehicle state information is fed back to the cloud computing platform through the internet ECU, and the quality of decision is judged according to big data and provided for rear vehicle analysis.
In this embodiment, the controlling the suspension road condition recognition system based on the cloud computing platform according to the condition mode further includes: determining a vehicle type; the priority of suspension adjustment of the front wheels and the rear wheels is determined according to the type of the vehicle.
Fig. 6 is a flowchart illustrating operation of a cloud computing platform based suspension identification system according to an embodiment of the present invention, wherein the control priority of the rear wheel suspension is higher than that of the front wheel suspension. FIG. 6 is a flow chart illustrating a higher priority for adjusting the rear wheel suspension than the front wheel suspension in the first operating mode.
For commercial and special-purpose vehicles, the suspension adjustment for the rear wheels is preferred over the front wheels in order to ensure safe and efficient transport of passengers and cargo. The control effect of the front wheel suspension is obtained through vehicle-mounted data of the sensors and is fused with the data of the rear wheel sensor group to enter a vehicle-mounted database.
In summary, the present invention provides a suspension road condition recognition system based on a cloud computing platform and a control method thereof, wherein the suspension road condition recognition system based on the cloud computing platform includes: the system comprises a cloud computing platform, a vehicle-mounted control unit, a sensor and a suspension control unit; the vehicle-mounted control unit is electrically connected with the sensor and the suspension control unit respectively; the vehicle-mounted control unit is in communication connection with the cloud computing platform; the sensor module is suitable for detecting instant vehicle-mounted data and sending the data to the vehicle-mounted control unit; the vehicle-mounted control unit is suitable for obtaining a control strategy according to vehicle-mounted data and sending the control strategy to the cloud computing platform; the cloud computing platform is suitable for optimizing a control strategy according to historical vehicle-mounted data and sending the optimized control strategy to the vehicle-mounted control unit; the vehicle-mounted control unit is adapted to control the suspension control unit in accordance with a control strategy or an optimized control strategy. Firstly, real-time information of a vehicle is acquired through a sensor, a BDS positioning module and the like based on a cloud computing platform, advanced observation of a front road is achieved, optimization decision is carried out on a control strategy by combining big data in the cloud computing platform, so that front road working condition information can be processed in advance and an instruction is sent to a controller, and the performance of a suspension is improved; and secondly, the vehicle-mounted networking ECU is connected in series and in parallel with the original vehicle-mounted terminal ECU, and signals are synchronous and are used as a closed loop system. When the network condition is delayed or bad, the original vehicle-mounted ECU can carry out original self-judgment on vehicle-mounted data and send out a control signal. Meanwhile, when the original vehicle terminal ECU fails, the internet ECU can judge the road condition and send a control signal through the database and the cloud computing platform, so that a multi-layer guarantee is provided for the system, the validity of data is guaranteed, and the system has a stronger practical development prospect. Finally, through the data processing compatibility of the vehicle-mounted networking ECU and the computing capability of the cloud computing platform, the system has popularization value and significance for commercial vehicles and special purpose vehicles under the current smart vehicle and big data environment.
In light of the foregoing description of the preferred embodiment of the present invention, many modifications and variations will be apparent to those skilled in the art without departing from the spirit and scope of the invention.
Claims (10)
1. The utility model provides a suspension road condition identification system based on cloud computing platform which characterized in that includes: the system comprises a cloud computing platform, a vehicle-mounted control unit, a sensor and a suspension control unit;
the vehicle-mounted control unit is electrically connected with the sensor and the suspension control unit respectively;
the vehicle-mounted control unit is in communication connection with the cloud computing platform;
the sensor module is suitable for detecting instant vehicle-mounted data and sending the data to the vehicle-mounted control unit;
the vehicle-mounted control unit is suitable for obtaining a control strategy according to vehicle-mounted data and sending the control strategy to the cloud computing platform;
the cloud computing platform is suitable for optimizing a control strategy according to historical vehicle-mounted data and sending the optimized control strategy to the vehicle-mounted control unit;
the vehicle-mounted control unit is suitable for controlling the suspension control unit according to the real-time vehicle speed, the control strategy or the optimized control strategy in the vehicle-mounted data.
2. The cloud computing platform-based suspension road condition recognition system of claim 1, wherein the sensor module is further adapted to send vehicle feedback information after controlling the suspension control unit to the vehicle-mounted control unit and then store the vehicle feedback information in historical vehicle-mounted data of the cloud computing platform;
and the cloud computing platform is suitable for judging the quality of the current control strategy according to the vehicle feedback information and storing the quality.
3. The cloud computing platform-based suspension road condition identification system as claimed in claim 1, wherein the sensor comprises a BDS module, a road information detection module, an acquisition module and a vehicle information acquisition module;
the vehicle-mounted data comprises position information, average speed information, surrounding vehicle information, road condition information of a front road, real-time speed and vehicle condition state operation information of a vehicle;
the BDS module is suitable for acquiring position information, average speed information and surrounding vehicle information of a vehicle; the road information detection and acquisition module is suitable for acquiring road condition information of a front road; the vehicle information acquisition module acquires real-time vehicle speed and vehicle condition state operation information.
4. The suspension road condition recognition system based on the cloud computing platform as claimed in claim 3, wherein the vehicle-mounted control unit comprises an original vehicle-mounted terminal control ECU and a vehicle-mounted networking ECU;
the original vehicle-mounted terminal control ECU is electrically connected with the vehicle-mounted networking ECU, and the original vehicle-mounted terminal control ECU is communicated with the cloud computing platform through the vehicle-mounted networking ECU; and the number of the first and second groups is,
when any one of the original vehicle-mounted terminal control ECU and the vehicle-mounted networking ECU fails, the other one can be used for controlling the suspension control unit.
5. A control method of a suspension road condition recognition system based on a cloud computing platform is characterized by comprising the following steps: judging the network connection state of the vehicle-mounted control unit and the cloud computing platform;
judging whether an original vehicle-mounted terminal control ECU in the vehicle-mounted control unit fails or not;
obtaining a working condition mode of the suspension road working condition recognition system based on the cloud computing platform according to the network connection state and the judgment result of whether the original vehicle-mounted terminal control ECU is intact;
and controlling a suspension road condition recognition system based on the cloud computing platform according to the condition mode.
6. The method for controlling the suspension road condition recognition system based on the cloud computing platform as claimed in claim 5, wherein the method for obtaining the condition mode of the suspension road condition recognition system based on the cloud computing platform according to the network connection state and the judgment result of whether the original vehicle-mounted terminal control ECU is intact comprises the steps of
If the network connection state of the vehicle-mounted control unit and the cloud computing platform is good, and the original vehicle-mounted terminal in the vehicle-mounted control unit controls the ECU to be in a first working condition mode;
if the network connection state of the vehicle-mounted control unit and the cloud computing platform is good, and the original vehicle-mounted terminal in the vehicle-mounted control unit controls the ECU to be invalid, the vehicle-mounted control unit is in a second working condition mode;
and if the network connection state of the vehicle-mounted control unit and the cloud computing platform is poor, and the original vehicle-mounted terminal control ECU in the vehicle-mounted control unit is not invalid, the vehicle-mounted control unit is in a third working condition module type.
7. The control method of the suspension road condition recognition system based on the cloud computing platform as claimed in claim 6, wherein in the first condition mode, the control method for controlling the suspension road condition recognition system based on the cloud computing platform comprises:
the method comprises the following steps: the BDS module positions the vehicle and acquires the position information, the average speed information and the surrounding environment vehicle information of the vehicle;
step two: the road information detection and acquisition module acquires road condition information of a road ahead, and the vehicle information acquisition module confirms real-time vehicle speed and vehicle condition state operation information;
step three: transmitting the acquired vehicle-mounted data to a vehicle-mounted database of a vehicle-mounted control unit;
step four: the vehicle-mounted control unit comprises a vehicle-mounted terminal ECU, a cloud computing platform, a network connection ECU, a vehicle-mounted terminal ECU and a vehicle-mounted terminal ECU, wherein the vehicle-mounted terminal ECU is used for acquiring vehicle-mounted data and transmitting the acquired vehicle-mounted data to the cloud computing platform;
step five: the original vehicle-mounted terminal ECU firstly judges the vehicle speed, directly adjusts all the suspensions of the vehicle according to the processing result when the vehicle speed meets the requirement, and firstly adjusts the vehicle speed and adjusts all the suspensions when the vehicle speed is overhigh;
step six: the vehicle information acquisition module collects the vehicle state information after the adjustment and the passing of the working condition, feeds the vehicle state information back to the cloud computing platform through the internet ECU, judges the quality of the decision according to the big data and provides the quality for the analysis of the following vehicle;
step seven: and the vehicle passes through the working condition and finishes the service.
8. The control method of the suspension road condition recognition system based on the cloud computing platform as claimed in claim 6, wherein in the second condition mode, the control method for controlling the suspension road condition recognition system based on the cloud computing platform comprises:
the method comprises the following steps: the BDS module positions the vehicle and acquires the position information, the average speed information and the surrounding environment vehicle information of the vehicle;
step two: the road information detection and acquisition module acquires road condition information of a road ahead, and the vehicle information acquisition module confirms real-time vehicle speed and vehicle condition state operation information;
step three: transmitting the acquired vehicle-mounted data to a vehicle-mounted database of a vehicle-mounted control unit;
step four: the vehicle-mounted control unit comprises a vehicle-mounted terminal ECU, a cloud computing platform, a network connection ECU, a vehicle-mounted terminal ECU and a vehicle-mounted terminal ECU, wherein the vehicle-mounted terminal ECU is used for acquiring vehicle-mounted data and transmitting the acquired vehicle-mounted data to the cloud computing platform;
step five: the vehicle-mounted networking ECU firstly judges the vehicle speed, directly adjusts all the suspensions of the vehicle according to a processing result when the vehicle speed meets the requirement, and firstly adjusts the vehicle speed and adjusts all the suspensions when the vehicle speed is overhigh;
step six: the vehicle information acquisition module collects the vehicle state information after the adjustment and the passing of the working condition, feeds the vehicle state information back to the cloud computing platform through the internet ECU, judges the quality of the decision according to the big data and provides the quality for the analysis of the following vehicle;
step seven: and the vehicle passes through the working condition and finishes the service.
9. The control method of the suspension road condition recognition system based on the cloud computing platform as claimed in claim 6, wherein in the third condition mode, the control method for controlling the suspension road condition recognition system based on the cloud computing platform comprises:
the method comprises the following steps: the BDS module positions the vehicle and acquires the position information, the average speed information and the surrounding environment vehicle information of the vehicle;
step two: the road information detection and acquisition module acquires road condition information of a road ahead, and the vehicle information acquisition module confirms real-time vehicle speed and vehicle condition state operation information;
step three: transmitting the acquired vehicle-mounted data to a vehicle-mounted database of a vehicle-mounted control unit;
step four: the method comprises the steps that an original vehicle-mounted terminal ECU firstly judges the vehicle speed, when the vehicle speed meets the requirement, all suspensions of a vehicle are directly adjusted according to a processing result, and when the vehicle speed is too high, the vehicle speed is adjusted and all suspensions are adjusted;
step five: the vehicle information acquisition module collects the vehicle state information after the vehicle state information is adjusted and passes the working condition;
step six: the vehicle passes through the working condition and finishes the service;
step seven: after network connection is recovered, vehicle state information is fed back to the cloud computing platform through the internet ECU, and the quality of decision is judged according to big data and provided for rear vehicle analysis.
10. The control method of the suspension road condition recognition system based on the cloud computing platform as claimed in claim 5, wherein the controlling the suspension road condition recognition system based on the cloud computing platform according to the condition mode further comprises:
determining a vehicle type;
the priority of suspension adjustment of the front wheels and the rear wheels is determined according to the type of the vehicle.
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