CN116704644A - Automobile management and control platform based on cloud data processing and multi-source data analysis - Google Patents
Automobile management and control platform based on cloud data processing and multi-source data analysis Download PDFInfo
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Abstract
The invention provides an automobile management and control platform based on cloud management and control and multisource data analysis, which comprises a vehicle data acquisition module: the method comprises the steps of configuring a first data protocol in a new energy automobile to obtain vehicle data of the new energy automobile; road side data acquisition module: the road data processing method comprises the steps of configuring a second data protocol in the road side monitoring equipment, and calling the road data of the road side monitoring equipment; cloud data processing module: the system is used for carrying out anomaly monitoring on the new energy automobile through the vehicle data and the road data, judging whether the state is abnormal or not, and uploading the state abnormal data to the automobile management and control platform; remote automobile management and control module: the vehicle control platform is used for sending alarm information to the vehicle through the vehicle control platform; the automobile management and control platform is used for carrying out protocol association on a first data protocol of the current new energy automobile and a second data protocol in the adjacent road side monitoring equipment, and synchronously calling the vehicle data of the current new energy automobile and the road data of the existing current new energy automobile.
Description
Technical Field
The invention relates to the technical field of new energy automobile management, in particular to an automobile management and control platform based on cloud data processing and multi-source data analysis.
Background
At present, with the progress of society and the improvement of living standard of people, vehicles are an indispensable transportation mode for modern people to travel. In the enterprise vehicles, some enterprises have more vehicles, the management system cannot clearly know the condition of the vehicles, and some small problems are easily ignored until finding out that the loss which is difficult to compensate occurs. The frequency of going out of the vehicle is high for other enterprises, and the common management cannot be used by people without a system management method.
Along with the development of intellectualization, the enterprise vehicle is not only limited to task call, but also can realize unified management and control of vehicles from the cloud, and in the process of enterprise vehicle use or in the existing vehicle fault monitoring technology, the faults of the vehicles are found by means of manual inspection or through the running logs of the vehicles, so that the fault finding of the vehicles is very slow, and more vehicles are found after faults are generated.
In addition, with the development of intellectualization, the management of the enterprise vehicles is not only limited to the statistical analysis management of the task arrangement of the vehicles, but also needs to monitor the vehicles during the road, judge the states of the vehicles, and realize comprehensive management and control of the vehicles by combining monitoring equipment at the road side, so that the direction of whether the vehicles have faults and assist driving is also the direction that the people in the field need to explore.
Disclosure of Invention
The invention provides an automobile management and control platform based on cloud data processing and multi-source data analysis, which is used for solving the situation in the background technology.
The invention provides an automobile management and control platform based on cloud data processing and multi-source data analysis, which comprises the following components:
the vehicle data acquisition module: the method comprises the steps that a first data protocol is configured in a new energy automobile, and vehicle data of the new energy automobile are obtained through the first data protocol;
road side data acquisition module: the road data processing method comprises the steps of configuring a second data protocol in the road side monitoring equipment, and calling road data of the road side monitoring equipment through the second data protocol;
cloud data processing module: the system is used for carrying out anomaly monitoring on the new energy automobile through the vehicle data and the road data, judging whether the state is abnormal or not, and uploading the state abnormal data to the automobile management and control platform;
remote automobile management and control module: the vehicle control platform is used for sending alarm information to the vehicle through the vehicle control platform; wherein,,
the automobile management and control platform is used for carrying out protocol association on a first data protocol of the current new energy automobile and a second data protocol in the adjacent road side monitoring equipment, and synchronously calling the vehicle data of the current new energy automobile and the road data of the existing current new energy automobile.
Preferably, the first data protocol is a hardware data protocol, vehicle data is obtained through the hardware data protocol, and the vehicle data is state data of hardware equipment in the new energy automobile; wherein,,
the hardware data protocol comprises a link control sub-protocol, a network control sub-protocol and an authentication sub-protocol; wherein,,
the authentication sub-protocol includes: a password authentication sub-protocol, a handshake sub-protocol, an address authentication sub-protocol, and a code authentication sub-protocol.
Preferably, the first data protocol includes the following data transmission steps:
step 101: constructing a first data transmission link of a cloud server and a new energy automobile, and constructing a second data transmission link of the cloud server and an automobile management and control platform;
step 102: according to the authentication sub-protocol, the new energy automobile sends handshake information to the cloud server, and when the handshake information exists, password verification, address authentication and coding authentication are respectively carried out, and authentication results are respectively obtained;
step 103: the data acquisition authorization of the new energy automobile is obtained according to the authentication result;
step 104: after the data acquisition authorization is successful, a first target dynamic address of new energy automobile data processing is distributed in a cloud server, and a second target dynamic address of new energy automobile data processing is distributed in an automobile management and control platform;
Step 105: the cloud server is used for transmitting the vehicle data to the cloud server according to the first target dynamic address;
step 106: and the system is used for transmitting the state data of the new energy automobile to the automobile management and control platform according to the second target dynamic address.
Preferably, the second data protocol is a data transmission protocol, and is used for collecting road data, where the road data is vehicle monitoring data of a road side; wherein,,
the data transfer protocol includes a proximity sensing sub-protocol and a common data calling sub-protocol.
Preferably, the second data protocol includes the following data transmission steps:
step 201: configuring distance parameters of the road side monitoring equipment and the new energy automobile in the road side monitoring equipment, the new energy automobile client and the cloud server, and constructing a proximity sensing function and a data calling function based on the distance parameters;
step 202: according to the proximity sensing function, when the new energy automobile and the drive test monitoring equipment are within a preset sensing distance, a public data transmission link is constructed;
step 203: determining public call data according to the data call function, and calculating a positioning value of new energy automobile data corresponding to the current data transmission link;
step 204: determining road side road monitoring data of the current new energy automobile according to the public data transmission link and the positioning value, and transmitting the road side road monitoring data to the cloud server;
Step 205: and identifying road data of a real-time line of the new energy automobile in the road side road monitoring data through the cloud server, and transmitting the road data to the automobile management and control platform through a first data protocol.
Preferably, the cloud data processing module includes:
multi-source data analysis unit: the cloud server is used for analyzing the neural network through the multi-source data of the cloud server, identifying and dividing the vehicle data and the road data, and generating vehicle state data, vehicle service data and auxiliary driving data;
vehicle state monitoring unit: the vehicle state monitoring system is used for monitoring the vehicle state in real time through the cloud server and the vehicle state data and transmitting a vehicle state result to the automobile management and control platform;
vehicle management unit: the vehicle management system comprises a vehicle management platform, a vehicle management platform and a vehicle management system, wherein the vehicle management platform is used for acquiring vehicle management data of a new energy vehicle, setting a vehicle task and transmitting the vehicle management result to the vehicle management platform according to the vehicle task and the vehicle data;
a vehicle driving support unit: the auxiliary driving mechanism is used for setting an auxiliary driving mechanism, and auxiliary driving control is carried out on the new energy automobile through the auxiliary driving data.
Preferably, the real-time monitoring of the vehicle state includes:
establishing an access process for vehicle state data included in the vehicle data and the road data, and performing access extraction processing to output a vehicle state data set; wherein,,
The vehicle state data set comprises a plurality of pieces of vehicle state access behavior data, wherein each piece of vehicle state access behavior data is used for reflecting an access result that one vehicle state is accessed at one moment or time;
performing data identification processing on a plurality of pieces of vehicle state access data included in the vehicle state data set by using a vehicle state identification neural network, and determining vehicle state identification information; wherein,,
the vehicle state identification information is used for reflecting a state deviation value of the vehicle under a standard reference state;
and determining the real-time state of the new energy automobile according to the state deviation value.
Preferably, the setting the vehicle task includes:
acquiring a to-be-processed vehicle task of a new energy automobile, and decomposing the to-be-processed vehicle task into a plurality of vehicle sub-tasks;
establishing a log code number of each vehicle sub-task, and carrying out hash on the log code number and the vehicle sub-task to generate a routing key;
the vehicle sub-tasks are all related through a corresponding log code number and a preset process supervision mechanism;
and according to a preset process supervision mechanism, performing supervision and identification of the vehicle task subtasks in the vehicle data and the road data, and determining the completion degree of the vehicle task.
Preferably, the driving assistance mechanism includes a driving assistance guidance mechanism, a fatigue driving detection mechanism, a distraction driving detection mechanism, a dangerous driving detection mechanism, an abnormality recognition mechanism, a driver state recognition mechanism, a seat belt detection mechanism, a blind area detection mechanism, a living body detection mechanism, a driving recording mechanism, and an emergency rescue mechanism.
Preferably, the multi-source data analysis neural network includes the following data processing steps:
respectively establishing a vehicle state multisource data sample library, a vehicle management multisource data sample library and an auxiliary driving multisource data sample library;
training and optimizing a multi-source data sample library, a vehicle management multi-source data sample library and an auxiliary driving multi-source data sample library through a multi-source data analysis neural network respectively;
acquiring a multi-source data identification dividing network after training and optimization;
and dividing the vehicle data and the road data through a multi-source data identification and division network.
The beneficial effects of the invention are as follows:
the invention can judge whether the new energy automobile has abnormal state or not through the collection of the data of the automobile, the collection of road data by the road side traffic control equipment and the comprehensive monitoring of the new energy automobile by the cloud, further upload the abnormal data of the new energy automobile to the automobile management and control platform, judge whether the automobile has faults or not, and judge whether the automobile has abnormal state or not, thereby carrying out abnormal alarm.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a data control guidance diagram of an automobile management and control platform based on cloud data processing and multi-source data analysis in an embodiment of the invention;
fig. 2 is a composition diagram of an automobile management and control platform based on cloud data processing and multi-source data analysis in an embodiment of the invention;
FIG. 3 is a data transmission flow chart of a hardware data transmission protocol according to an embodiment of the present invention;
fig. 4 is a data transmission flow chart of a road transmission protocol according to an embodiment of the invention.
Description of the embodiments
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The invention is mainly used for the functions of monitoring, remote diagnosis, safe driving assistance and the like of the vehicle state at the enterprise end, and also comprises the vehicle management functions of bus application, private vehicle public application, vehicle track and position recording and checking, vehicle cost calculation and the like of the vehicle at the enterprise end.
The invention provides an automobile management and control platform based on cloud data processing and multi-source data analysis, which comprises the following components:
the vehicle data acquisition module: the method comprises the steps that a first data protocol is configured in a new energy automobile, and vehicle data of the new energy automobile are obtained through the first data protocol;
road side data acquisition module: the road data processing method comprises the steps of configuring a second data protocol in the road side monitoring equipment, and calling road data of the road side monitoring equipment through the second data protocol;
cloud data processing module: the system is used for carrying out anomaly monitoring on the new energy automobile through the vehicle data and the road data, judging whether the state is abnormal or not, and uploading the state abnormal data to the automobile management and control platform;
remote automobile management and control module: the vehicle control platform is used for sending alarm information to the vehicle through the vehicle control platform; wherein,,
the automobile management and control platform is used for carrying out protocol association on a first data protocol of the current new energy automobile and a second data protocol in the adjacent road side monitoring equipment, and synchronously calling the vehicle data of the current new energy automobile and the road data of the existing current new energy automobile.
The working principle of the technical scheme is as follows:
as shown in fig. 1 and fig. 2, in this embodiment, the vehicle data acquisition module is configured to acquire, through a first data protocol, hardware data on a vehicle, where the hardware data includes all hardware of front-loading or rear-loading of a new energy vehicle, including, but not limited to, data of all hardware of each component of the vehicle, related hardware of a safe driving assistance system, a vehicle camera, a radar, a tire pressure monitoring device, an energy sensing device, and the like, and diagnostic data, status data, driving assistance, safety functions, and the like of each component of the vehicle corresponding to a vehicle bus, and send each data to a server through a technical interface, a hardware interface, a related protocol, and the like, where the acquired data is used for performing management analysis to monitor and manage a vehicle state.
In this embodiment, the second data protocol is used to obtain the driving road data of the energy-based vehicle collected by the road side monitoring device, and the driving data of the new energy-based vehicle driving on the road, where the road data, the route data, and the obstacle, the vehicle, the personnel and the motor vehicle data around the new energy-based vehicle, and the road side monitoring device includes, but is not limited to, a snapshot camera on the road side and other new energy-based vehicles on the vehicle side capable of collecting the vehicle data; and in the area without the road side camera and the vehicle, acquiring road data through the camera of the new energy vehicle.
In this embodiment, the cloud data processing module is configured to analyze and process the vehicle data and the road data to determine whether the hardware state of the vehicle at each moment is in a normal state, whether the vehicle is in a normal state on an executed task, determine the running condition of the vehicle, and then, according to the running condition of the vehicle, alarm the vehicle when there is a driving abnormality in the vehicle.
In this embodiment, the first data protocol and the second data protocol are related to each other, the related manner is that sensing of the adjacent equipment is performed through the adjacent sensing sub-protocol in the second data protocol, so as to collect road data, synchronous calling is based on a real-time point of the new energy vehicle, and the road data of the current new energy vehicle shot by the road side monitoring equipment at the same time point is called, wherein the road data includes the current new energy vehicle.
The beneficial effects of the technical scheme are as follows:
the invention can judge whether the new energy automobile has abnormal state or not through the collection of the data of the automobile, the collection of road data by the road side traffic control equipment and the comprehensive monitoring of the new energy automobile by the cloud, further upload the abnormal data of the new energy automobile to the automobile management and control platform, judge whether the automobile has faults or not, and judge whether the automobile has abnormal state or not, thereby carrying out abnormal alarm.
Preferably, the first data protocol is a hardware data protocol, and is used for acquiring state data of vehicle hardware equipment; wherein,,
the hardware data protocol comprises a link control sub-protocol, a network control sub-protocol and an authentication sub-protocol; wherein,,
the authentication sub-protocol includes: a password authentication sub-protocol, a handshake sub-protocol, an address authentication sub-protocol, and a code authentication sub-protocol.
The working principle of the technical scheme is as follows:
in this embodiment, as shown in fig. 2, the present invention performs authorization subscription with the new energy vehicle through the hardware data transmission protocol, receives the hardware data of the new energy vehicle, and reads the hardware data through the hardware data protocol.
In this embodiment, the link control sub-protocol is used to build a communication link for transmitting vehicle data;
In this embodiment, the network control sub-protocol is used to search the wireless network, perform 4G/5G network switching, and upload vehicle data;
in this embodiment, the authentication sub-protocol is used to perform data transmission authentication, and obtain the authority of data transmission;
in this embodiment, the password verification sub-protocol is used to send out a data call instruction, and perform data transmission of different hardware, where the password transmitted by the password verification sub-protocol is a hardware identification password; the handshake sub-protocol is used for sending handshake information to different hardware of the vehicle through the vehicle management and control platform, acquiring handshake feedback, and uploading vehicle data when the handshake feedback is provided; the address authentication sub-protocol is used for determining a transmission address of the new energy vehicle for data transmission, and comprises an uploading address and a loading and writing address; the encoding authentication sub-protocol is used for encoding the vehicle data and transmitting abnormal data in the vehicle data.
In this embodiment, the hardware data protocol may acquire monitoring data of the vehicle, for example, monitoring of a tire pressure monitoring function, monitoring of a degree of loss and an abnormal state of a power battery or other vehicle components, monitoring of vehicle energy consumption, monitoring of remaining energy, monitoring of a vehicle speed, monitoring of a working state of a function related to the vehicle (for example, monitoring of a use state of an air conditioner, an opening state of a vehicle window, a locking state of a vehicle door, an operation state of vehicle entertainment equipment, etc.), and the like;
The vehicle data can also be obtained, such as real-time track and vehicle position monitoring, electronic fence, bus application, private use, vehicle cost statistics, vehicle approval process, intelligent scheduling, vehicle management (maintenance, insurance, vehicle annual inspection, vehicle disposal, violation inquiry) and the like of the new energy automobile.
The beneficial effects of the technical scheme are as follows:
the invention can acquire the vehicle data through the first data protocol, namely the hardware data protocol of the new energy vehicle, acquire the authentication of the new energy vehicle, and acquire different hardware data of the new energy vehicle through the hardware data protocol after the authentication.
Preferably, the first data protocol includes the following data transmission steps:
step 101: constructing a first data transmission link of a cloud server and a new energy automobile, and constructing a second data transmission link of the cloud server and an automobile management and control platform;
step 102: according to the authentication sub-protocol, the new energy automobile sends handshake information to the cloud server, and when the handshake information exists, password verification, address authentication and coding authentication are respectively carried out, and authentication results are respectively obtained;
step 103: the data acquisition authorization of the new energy automobile is obtained according to the authentication result;
Step 104: after the data acquisition authorization is successful, a first target dynamic address of new energy automobile data processing is distributed in a cloud server, and a second target dynamic address of new energy automobile data processing is distributed in an automobile management and control platform;
step 105: the cloud server is used for transmitting the vehicle data to the cloud server according to the first target dynamic address;
step 106: and the system is used for transmitting the state data of the new energy automobile to the automobile management and control platform according to the second target dynamic address.
The working principle of the technical scheme is as follows:
in this embodiment, the data transmission links are respectively constructed in the cloud server, the new energy automobile and the automobile management and control platform, and the data transmission links are used for data transmission and data acquisition authorization.
In this embodiment, the authentication sub-protocol of the present invention can implement handshake between the cloud server and the new energy vehicle, and implement authentication of hardware data acquisition of the new energy vehicle after the handshake is successful.
In this embodiment, the data dynamic addresses allocated by the cloud server are used to respectively transmit the data of the energy-based vehicle to the cloud server after the acquisition authorization is successful, and the data are then transmitted to the vehicle management and control platform after the evaluation by the cloud server.
In the embodiment, the first target dynamic address and the second target dynamic address exist, so that the data of the cloud server, the automobile management and control platform and the new energy automobile can be interacted quickly.
The beneficial effects of the technical scheme are as follows:
the first data transfer protocol and the second data transfer protocol may enable direct transfer of vehicle data and real-time transfer of vehicle state assessment data.
By means of the authentication sub-protocol, handshake authentication of the energy automobile can be achieved, data acquisition of the new energy automobile is achieved according to the handshake authentication, and further evaluation and uploading of the state of the new energy automobile are achieved in an address allocation mode.
Preferably, the second data protocol is a data transmission protocol, and is used for acquiring vehicle monitoring data of a road side; wherein,,
the data transfer protocol includes a proximity sensing sub-protocol and a common data calling sub-protocol.
The working principle of the technical scheme is as follows:
as shown in fig. 2, in this embodiment, the second data transmission protocol is used to obtain the monitoring data of the drive test on the new energy vehicle.
In this embodiment, the proximity sensing sub-protocol is used to collect data of the new energy vehicle on the road according to the real-time distance between the new energy vehicle and the road side monitoring device, where the road side monitoring device includes a camera on the road side, including but not limited to a fixed camera on the road side, such as a violation snapshot device; and the non-fixed camera device at the road side is used for maintaining data collected by the vehicle or road data collected by other new energy automobiles.
In this embodiment, the common data calling sub-protocol may implement quick calling of the common data, and determine real-time data of the current new energy vehicle on the road in the common data.
The beneficial effects of the technical scheme are as follows:
according to the invention, the vehicle data can be acquired at the road side through the second data protocol, so that the vehicle running state is monitored at the vehicle side.
Preferably, the second data protocol includes the following data transmission steps:
step 201: configuring distance parameters of the road side monitoring equipment and the new energy automobile in the road side monitoring equipment, the new energy automobile client and the cloud server, and constructing a proximity sensing function and a data calling function based on the distance parameters;
step 202: according to the proximity sensing function, when the new energy automobile and the drive test monitoring equipment are within a preset sensing distance, a public data transmission link is constructed;
step 203: determining public call data according to the data call function, and calculating a positioning value of new energy automobile data corresponding to the current data transmission link;
step 204: determining road side road monitoring data of the current new energy automobile according to the public data transmission link and the positioning value, and transmitting the road side road monitoring data to the cloud server;
Step 205: and identifying road data of a real-time line of the new energy automobile in the road side road monitoring data through the cloud server, and transmitting the road data to the automobile management and control platform through a first data protocol.
The working principle of the technical scheme is as follows:
in this embodiment, the road side monitoring device performs real-time proximity sensing on the new energy vehicle according to the distance parameter, determines the proximity data of the new energy vehicle monitored by the road side monitoring device, and further invokes the new energy vehicle data in the monitoring range by configuring a data invoking function;
the data calling function uses the first data transmission protocol and the second data transmission protocol of the new energy automobile as the parameter calling basis of the communication link, and the vehicle data and the road data of the road picture where the new energy automobile is positioned are quickly called.
In this embodiment, the proximity sensing function may establish a data transmission link corresponding to the public data transmission of the new energy vehicle when the new energy vehicle and the road side monitoring device are within the preset monitoring distance.
In the embodiment, the data calling function can call public data, and the real-time positioning value of the new energy vehicle is determined;
in this embodiment, the determination of the abnormal state of the vehicle may be implemented by calling the road side monitoring data detected by the road side monitoring device.
The beneficial effects of the technical scheme are as follows:
the monitoring data of the new energy automobile can be called through the second data transmission protocol by the road side monitoring equipment, and the normal state and the abnormal state of the new energy automobile are judged by the road side monitoring data.
Preferably, the cloud data processing module includes:
multi-source data analysis unit: the cloud server is used for analyzing the neural network through the multi-source data of the cloud server, identifying and dividing the vehicle data and the road data, and generating vehicle state data, vehicle service data and auxiliary driving data;
vehicle state monitoring unit: the vehicle state monitoring system is used for monitoring the vehicle state in real time through the cloud server and the vehicle state data and transmitting a vehicle state result to the automobile management and control platform;
vehicle management unit: the vehicle management system comprises a vehicle management platform, a vehicle management platform and a vehicle management system, wherein the vehicle management platform is used for acquiring vehicle management data of a new energy vehicle, setting a vehicle task and transmitting the vehicle management result to the vehicle management platform according to the vehicle task and the vehicle data;
a vehicle driving support unit: the auxiliary driving mechanism is used for setting an auxiliary driving mechanism, and auxiliary driving control is carried out on the new energy automobile through the auxiliary driving data.
The working principle of the technical scheme is as follows:
in this embodiment, the multi-source data analysis module may collect multi-source data of the automobile through a neural network system for multi-source data analysis, so as to further realize division of the multi-source data, and specifically includes vehicle state data, vehicle service data and auxiliary driving data.
In this embodiment, the vehicle state monitoring unit may perform modeling recognition on hardware data of the energy-based vehicle, and determine fault data in the hardware data of the new energy-based vehicle.
In this embodiment, the vehicle management unit may determine the processing progress of the vehicle task according to the batch processing of the vehicle task management task and the commemorative vehicle task.
In this embodiment, the vehicle driving support unit may assist the owner of the new energy vehicle in performing the auxiliary driving control of the vehicle by the auxiliary driving mechanism through the auxiliary driving data.
The beneficial effects of the technical scheme are as follows:
the invention can detect the running state of the new energy automobile through the multi-source data, and more particularly can realize the detection of the hardware data of each hardware of the new energy automobile. By means of the vehicle management unit, the tasks executed by the vehicle in real time can be tracked. Thereby realizing the auxiliary driving of new energy drivers.
Preferably, the real-time monitoring of the vehicle state includes:
establishing an access process for vehicle state data included in the vehicle data and the road data, and performing access extraction processing to output a vehicle state data set; wherein,,
The vehicle state data set comprises a plurality of pieces of vehicle state access behavior data, wherein each piece of vehicle state access behavior data is used for reflecting an access result that one vehicle state is accessed at one moment or time;
performing data identification processing on a plurality of pieces of vehicle state access data included in the vehicle state data set by using a vehicle state identification neural network, and determining vehicle state identification information; wherein,,
the vehicle state identification information is used for reflecting a state deviation value of the vehicle under a standard reference state;
and determining the real-time state of the new energy automobile according to the state deviation value.
The working principle of the technical scheme is as follows:
in the present embodiment, access processes of vehicle state data are set in advance, each process acting on one type of state data of the vehicle.
In this embodiment, the behavior data of each vehicle state orientation may highlight the specific state data of the vehicle at a certain moment and within a certain period;
in this embodiment, the vehicle state recognition neural network may perform recognition processing on the state access data of the vehicle, determine the state recognition information of the vehicle, and reflect the deviation value of any hardware data of the vehicle from the normal state.
The beneficial effects of the technical scheme are as follows:
in the real-time monitoring process of the vehicle, the invention monitors the specific access state of the vehicle through the data process and judges whether the specific behavior of the vehicle is abnormal or not.
Preferably, the setting the vehicle task includes:
acquiring a to-be-processed vehicle task of a new energy automobile, and decomposing the to-be-processed vehicle task into a plurality of vehicle sub-tasks;
establishing a log code number of each vehicle sub-task, and carrying out hash on the log code number and the vehicle sub-task to generate a routing key;
the vehicle sub-tasks are all related through a corresponding log code number and a preset process supervision mechanism;
and according to a preset process supervision mechanism, performing supervision and identification of the vehicle task subtasks in the vehicle data and the road data, and determining the completion degree of the vehicle task.
The working principle of the technical scheme is as follows:
in this embodiment, when a new energy vehicle is specific to a vehicle task, the vehicle task is divided, and multiple subtasks are generated and processed one by one.
In this embodiment, the log code number is a task code of different vehicle tasks, and the routing key may be generated through hash, so as to implement supervision of different vehicle subtasks.
In this embodiment, the process supervision mechanism may perform corresponding analysis through supervision mechanisms of different task processes and log code numbers, to determine the completion degree of the task.
In the embodiment, the vehicle task is managed by setting a corresponding APP in the vehicle terminal of the new energy automobile, and the APP can be abutted to the vehicle management and control platform;
in this embodiment, the vehicle management and control platform records a vehicle-exiting task or vehicle start through a corresponding APP set in the vehicle terminal, then automatically executes a remote diagnosis vehicle (or can start diagnosis by clicking a remote vehicle diagnosis key of the APP in the vehicle terminal or a software system background of the vehicle terminal APP) through the vehicle management and control platform, performs remote diagnosis on the vehicle, judges whether the vehicle has faults, anomalies and the like, if so, reminds related responsible persons and drivers (can set reminding persons in a self-defined manner), and meanwhile, APP in the vehicle terminal displays a fault cause and a processing method, if related components need to be replaced, displays the cost of replacing the components, and associates with related functions of vehicle management (such as functions of maintenance application, maintenance record, component life record, vehicle maintenance and the like) of the software system.
Preferably, the driving assistance mechanism includes a driving assistance guidance mechanism, a fatigue driving detection mechanism, a distraction driving detection mechanism, a dangerous driving detection mechanism, an abnormality recognition mechanism, a driver state recognition mechanism, a seat belt detection mechanism, a blind area detection mechanism, a living body detection mechanism, a driving recording mechanism, and an emergency rescue mechanism.
The working principle of the technical scheme is as follows:
in the present embodiment, the present invention includes various driving assistance methods in which:
the driving assistance is realized by hardware equipment such as cameras, infrared sensors, millimeter wave radars, laser radars, GPS, beidou satellite positioning and the like on the new energy vehicle and software algorithms, such as front vehicle collision early warning, vehicle distance approaching early warning, lane departure early warning, pedestrian collision early warning (including violation behaviors such as red light running, overspeed and the like), whether the violation is judged by automatically identifying road identifications, red light, speed limit signs, current driving states and the like through the cameras, and the system comprises a 360-degree high-definition ring shadow system, a night vision system and the like, and corresponding data can be transmitted to all applicable electronic equipment ends such as a mobile phone end, a computer end, a tablet personal computer and the like for remote management on an automobile management platform; with this warning early warning, pronunciation video talkbacks, operation control's function etc..
The fatigue driving detection mechanism collects details of the face, the posture, the eyes and the like of a driver through a camera on the new energy vehicle, intelligently analyzes and identifies whether fatigue driving exists through an algorithm by combining an eyeball tracking system, and defines a fatigue monitoring level alarm strategy by combining dimensions of the vehicle speed, the continuous driving duration, the driving time period and the like, such as: mild fatigue, moderate fatigue, high fatigue and the like, and each dimension parameter can be flexibly defined, so that the method is convenient to apply in different scenes. When the system detects abnormality, the system automatically gives early warning to a driver (played in a mode of a mobile phone loudspeaker, a vehicle original sound box, an additional loudspeaker and the like), meanwhile, related abnormality information is pushed to related management personnel of a user through a vehicle management and control platform, the related management personnel of the user can remotely check information fed back by each camera, related hardware and sensors, and can talk with the driver through a voice and video intercom function.
The system comprises a distraction driving detection mechanism and a dangerous driving detection mechanism, wherein details such as the face, the posture and the eyes of a driver are collected through a camera on a new energy vehicle, whether the eye tracking system has behaviors such as line of sight deviation from a road surface, call receiving, mobile phone playing, finding things, smoking, back chatting and the like or not is intelligently analyzed and identified through an algorithm, and automatic grading early warning is carried out in time in combination with abnormal posture types, such as: slight distraction, moderate distraction, high distraction, etc., each dimension parameter can be flexibly defined, and the method is convenient to apply in different scenes. When the system detects abnormality, the system automatically gives early warning to the driver (played by means of a mobile phone loudspeaker, a vehicle original sound box, an additional loudspeaker and the like), meanwhile, related abnormality information is pushed to related management personnel of the user, the related management personnel of the user can remotely check information fed back by each camera, related hardware and sensors, and can talk with the driver through voice and video intercom functions.
The driver state recognition mechanism can automatically early warn when the system cannot recognize corresponding data due to the fact that the driver is shielded or the driver wears a sunglasses with an infrared blocking function through a camera or other recognition devices.
Driver off duty, change detection and early warning: based on the face recognition technology, a real-time image acquired by a camera is read, whether face information is contained in the image or not, whether the face information is complete or not and whether the face information is consistent with the permissible face information or not is judged, so that the situations of off duty, on duty, private person replacement, face shielding and the like of a driver are determined, when the system monitors abnormality, related early warning information is pushed automatically and early warning information is pushed simultaneously, the system can confirm that a vehicle is in a safe state (such as a vehicle is stationary, a neutral gear, a non-driving road surface and the like), and related management personnel (also can set to automatically give instructions by the system) can remotely cut off the vehicle energy so as to stop the vehicle.
The safety belt detection mechanism extracts an image area of a trunk part of a driver by using a deep learning technology through a computer vision principle, analyzes key points of a human body and positions of the safety belt, and judges whether the safety belt is worn normally or not through the relative positions of the safety belt and the body. And the system CAN also be used for acquiring related safety belt data of a vehicle driving computer, a vehicle-mounted computer, an ECU, a CAN bus and the like to judge whether the safety belt is worn normally. When the situation that the driver or the passenger is not fastened with the safety belt is detected in the driving process, the system early warning is triggered, and meanwhile related early warning information is pushed.
The blind area detection mechanism and the living body detection mechanism capture images in the blind area through hardware equipment such as cameras, infrared sensors, millimeter wave radars, laser radars and the like on the new energy vehicle, calculate the risk range of the blind area by ranging, process and analyze acquired images by combining technologies such as living body detection, object identification and the like, and initiate intelligent voice early warning (played in modes such as a mobile phone loudspeaker, a vehicle original sound box, an additional loudspeaker and the like) to a driver if the object and the living body are detected in the risk area, for example: "pedestrian detected in front of right, please note driving; the vehicle is detected on the left side, the driver is required to pay attention to early warning and reminding, and meanwhile, the real-time surrounding environment and the detected data model are displayed in the display of a vehicle display screen or an additional terminal display. When the system detects living bodies and objects and detects that a driver does not take braking measures, the system actively transmits an active braking instruction, and the vehicle automatically starts active emergency braking to brake the vehicle, so that collision is prevented.
The invention can also be provided with alcohol detection, an alcohol tester (such as a blowing type alcohol detector, a real-time air alcohol detector and other devices) is arranged at the driver position in the vehicle, the tester is connected with the system and the vehicle or device starting system, the alcohol content is required to be measured by the driver or the operator through the alcohol tester before the vehicle or the device is started or when the driver or the operator is replaced (the driver or the operator is identified through face recognition) each time, and the vehicle and the device are in a locked starting state and cannot be started when the system detects the alcohol and can trigger the system to give an early warning.
The driving recording mechanism acquires video and audio data of equipment such as a camera on a new energy vehicle and stores the video and audio data in a cloud space (also can store a local storage space of front-loading or rear-loading equipment of the vehicle, and can view or play back the video and audio data in real time through the Internet), and then views or plays back the video and audio data in real time through the system (mobile phone APP, small programs, computer terminals and the like).
The emergency rescue system is triggered by the sos key or the additionally installed emergency rescue key of the vehicle, when a person presses (or holds the key for 2 seconds) the sos key or the additionally installed emergency rescue key of the vehicle, the emergency rescue system is triggered, the system automatically sends out a distress signal (the content comprises information such as the real-time positioning position, license plate number and vehicle type of the vehicle) after triggering, the emergency department is actively called, and the person in the vehicle can communicate with the emergency rescue system through the emergency microphone. And simultaneously pushing abnormal information to electronic equipment such as mobile phones (APP, small programs and the like), computers, tablet computers and the like. After the emergency rescue system is triggered, the system pushes the emergency rescue information to electronic equipment such as mobile phones (APP, applet and the like), computers, tablet computers and the like which are bound with the emergency rescue system, and can remotely check the functions of all camera pictures and sounds of the vehicle, the real-time positioning position of the vehicle, voice conversation and the like. The emergency rescue mechanism also includes an automatic triggering emergency rescue system. When the system detects serious accidents such as severe vibration and severe impact of the vehicle, the system automatically triggers the emergency rescue system, the system automatically sends out distress signals (the contents comprise information such as the real-time positioning position, license plate number and vehicle type of the vehicle) after triggering, the emergency department is actively called, and personnel in the vehicle can communicate with the emergency rescue system through the emergency microphone. And simultaneously pushing abnormal information to electronic equipment such as mobile phones (APP, small programs and the like), computers, tablet computers and the like. After the emergency rescue system is triggered, the system pushes the emergency rescue information to electronic equipment such as mobile phones (APP, applet and the like), computers, tablet computers and the like which are bound with the emergency rescue system, and can remotely check the functions of all camera pictures and sounds of the vehicle, the real-time positioning position of the vehicle, voice conversation and the like.
Preferably, the multi-source data analysis neural network includes the following data processing steps:
respectively establishing a vehicle state multisource data sample library, a vehicle management multisource data sample library and an auxiliary driving multisource data sample library;
training and optimizing a multi-source data sample library, a vehicle management multi-source data sample library and an auxiliary driving multi-source data sample library through a multi-source data analysis neural network respectively;
acquiring a multi-source data identification dividing network after training and optimization;
and dividing the vehicle data and the road data through a multi-source data identification and division network.
In the above embodiment, the multi-source data sample database is a sample database of different hardware data sources of the new energy vehicle; the vehicle management multi-source data sample database is a sample data database of multi-source vehicle tasks which are tasks such as maintenance application, maintenance record, part service record, vehicle maintenance and the like executed by the energy automobile, and the auxiliary driving database is used for assisting various tasks of driving functions executed when the vehicle performs auxiliary driving.
The multi-source data identification and division network is used for dividing different data types, so that the management and control of the new energy vehicles are facilitated.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. Automobile management and control platform based on high in clouds data processing and multisource data analysis, characterized by comprising:
the vehicle data acquisition module: the method comprises the steps that a first data protocol is configured in a new energy automobile, and vehicle data of the new energy automobile are obtained through the first data protocol;
road side data acquisition module: the road data processing method comprises the steps of configuring a second data protocol in the road side monitoring equipment, and calling road data of the road side monitoring equipment through the second data protocol;
cloud data processing module: the system is used for carrying out anomaly monitoring on the new energy automobile through the vehicle data and the road data, judging whether the state is abnormal or not, and uploading the state abnormal data to the automobile management and control platform;
remote automobile management and control module: the vehicle control platform is used for sending alarm information to the vehicle through the vehicle control platform; wherein,,
the automobile management and control platform is used for carrying out protocol association on a first data protocol of the current new energy automobile and a second data protocol in the adjacent road side monitoring equipment, and synchronously calling the vehicle data of the current new energy automobile and the road data of the existing current new energy automobile.
2. The automobile management and control platform based on cloud data processing and multi-source data analysis according to claim 1, wherein the first data protocol is a hardware data protocol, vehicle data is obtained through the hardware data protocol, and the vehicle data is state data of hardware equipment in a new energy automobile; wherein,,
the hardware data protocol comprises a link control sub-protocol, a network control sub-protocol and an authentication sub-protocol; wherein,,
the authentication sub-protocol includes: a password authentication sub-protocol, a handshake sub-protocol, an address authentication sub-protocol, and a code authentication sub-protocol.
3. The automobile management platform based on cloud data processing and multi-source data analysis of claim 2, wherein the first data protocol comprises the following data transmission steps:
step 101: constructing a first data transmission link of a cloud server and a new energy automobile, and constructing a second data transmission link of the cloud server and an automobile management and control platform;
step 102: according to the authentication sub-protocol, the new energy automobile sends handshake information to the cloud server, and when the handshake information exists, password verification, address authentication and coding authentication are respectively carried out, and authentication results are respectively obtained;
Step 103: the data acquisition authorization of the new energy automobile is obtained according to the authentication result;
step 104: after the data acquisition authorization is successful, a first target dynamic address of new energy automobile data processing is distributed in a cloud server, and a second target dynamic address of new energy automobile data processing is distributed in an automobile management and control platform;
step 105: the cloud server is used for transmitting the vehicle data to the cloud server according to the first target dynamic address;
step 106: and the system is used for transmitting the state data of the new energy automobile to the automobile management and control platform according to the second target dynamic address.
4. The automobile management and control platform based on cloud data processing and multi-source data analysis according to claim 1, wherein the second data protocol is a data transmission protocol and is used for collecting road data, and the road data is vehicle monitoring data of a road side; wherein,,
the data transfer protocol includes a proximity sensing sub-protocol and a common data calling sub-protocol.
5. The vehicle management and control platform based on cloud data processing and multi-source data analysis of claim 4, wherein the second data protocol comprises the following data transmission steps:
step 201: configuring distance parameters of the road side monitoring equipment and the new energy automobile in the road side monitoring equipment, the new energy automobile client and the cloud server, and constructing a proximity sensing function and a data calling function based on the distance parameters;
Step 202: according to the proximity sensing function, when the new energy automobile and the drive test monitoring equipment are within a preset sensing distance, a public data transmission link is constructed;
step 203: determining public call data according to the data call function, and calculating a positioning value of new energy automobile data corresponding to the current data transmission link;
step 204: determining road side road monitoring data of the current new energy automobile according to the public data transmission link and the positioning value, and transmitting the road side road monitoring data to the cloud server;
step 205: and identifying road data of a real-time line of the new energy automobile in the road side road monitoring data through the cloud server, and transmitting the road data to the automobile management and control platform through a first data protocol.
6. The automobile management and control platform based on cloud data processing and multi-source data analysis of claim 1, wherein the cloud data processing module comprises:
multi-source data analysis unit: the cloud server is used for analyzing the neural network through the multi-source data of the cloud server, identifying and dividing the vehicle data and the road data, and generating vehicle state data, vehicle service data and auxiliary driving data;
vehicle state monitoring unit: the vehicle state monitoring system is used for monitoring the vehicle state in real time through the cloud server and the vehicle state data and transmitting a vehicle state result to the automobile management and control platform;
Vehicle management unit: the vehicle management system comprises a vehicle management platform, a vehicle management platform and a vehicle management system, wherein the vehicle management platform is used for acquiring vehicle management data of a new energy vehicle, setting a vehicle task and transmitting the vehicle management result to the vehicle management platform according to the vehicle task and the vehicle data;
a vehicle driving support unit: the auxiliary driving mechanism is used for setting an auxiliary driving mechanism, and auxiliary driving control is carried out on the new energy automobile through the auxiliary driving data.
7. The vehicle management and control platform based on cloud data processing and multi-source data analysis of claim 6, wherein the real-time monitoring of vehicle conditions comprises:
establishing an access process for vehicle state data included in the vehicle data and the road data, and performing access extraction processing to output a vehicle state data set; wherein,,
the vehicle state data set comprises a plurality of pieces of vehicle state access behavior data, wherein each piece of vehicle state access behavior data is used for reflecting an access result that one vehicle state is accessed at one moment or time;
performing data identification processing on a plurality of pieces of vehicle state access data included in the vehicle state data set by using a vehicle state identification neural network, and determining vehicle state identification information; wherein,,
the vehicle state identification information is used for reflecting a state deviation value of the vehicle under a standard reference state;
And determining the real-time state of the new energy automobile according to the state deviation value.
8. The vehicle management and control platform based on cloud data processing and multi-source data analysis of claim 6, wherein the setting the vehicle task comprises:
acquiring a to-be-processed vehicle task of a new energy automobile, and decomposing the to-be-processed vehicle task into a plurality of vehicle sub-tasks;
establishing a log code number of each vehicle sub-task, and carrying out hash on the log code number and the vehicle sub-task to generate a routing key;
the vehicle sub-tasks are all related through a corresponding log code number and a preset process supervision mechanism;
and according to a preset process supervision mechanism, performing supervision and identification of the vehicle task subtasks in the vehicle data and the road data, and determining the completion degree of the vehicle task.
9. The vehicle management and control platform based on cloud data processing and multi-source data analysis of claim 6, wherein the driving assistance mechanism comprises a driving assistance guidance mechanism, a fatigue driving detection mechanism, a distraction driving detection mechanism, a dangerous driving detection mechanism, an anomaly identification mechanism, a driver status identification mechanism, a safety belt detection mechanism, a blind zone detection mechanism, a living body detection mechanism, a driving recording mechanism, and an emergency rescue mechanism.
10. The automobile management and control platform based on cloud data processing and multi-source data analysis according to claim 1, wherein the multi-source data analysis neural network comprises the following data processing steps:
respectively establishing a vehicle state multisource data sample library, a vehicle management multisource data sample library and an auxiliary driving multisource data sample library;
training and optimizing a multi-source data sample library, a vehicle management multi-source data sample library and an auxiliary driving multi-source data sample library through a multi-source data analysis neural network respectively;
acquiring a multi-source data identification dividing network after training and optimization;
and dividing the vehicle data and the road data through a multi-source data identification and division network.
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| CN117246261A (en) * | 2023-10-12 | 2023-12-19 | 东莞市东特新能源科技有限公司 | New energy automobile monitoring management system based on internet |
| CN117939474A (en) * | 2024-03-21 | 2024-04-26 | 江苏海平面数据科技有限公司 | Communication terminal detection system and method based on Internet of vehicles big data |
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| CN117246261A (en) * | 2023-10-12 | 2023-12-19 | 东莞市东特新能源科技有限公司 | New energy automobile monitoring management system based on internet |
| CN117939474A (en) * | 2024-03-21 | 2024-04-26 | 江苏海平面数据科技有限公司 | Communication terminal detection system and method based on Internet of vehicles big data |
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