CN-122024469-A - Intelligent control method of intelligent electric bicycle and intelligent control system of electric bicycle

CN122024469ACN 122024469 ACN122024469 ACN 122024469ACN-122024469-A

Abstract

The invention relates to the technical field of artificial intelligence and discloses an intelligent control method of an intelligent electric bicycle and an intelligent control system of an electric bicycle, wherein the method comprises the steps that an intelligent control platform of the electric bicycle fed by the system determines electric bicycle passing information of a vehicle running scene based on RFID read-write equipment distributed in at least one key node area of the vehicle running scene; the method comprises the steps of monitoring video image data of a vehicle driving scene based on video acquisition equipment of each key node area, performing preset depth analysis operation on electric vehicle passing information and the video image data to obtain label information of electric vehicles in each key node area, classifying all electric vehicles in the key node area according to the label information of all electric vehicles in the key node area to obtain classification results of the key node area, and accordingly performing corresponding management and control operation. Therefore, the efficiency and the accuracy of the electric bicycle traffic control can be improved by implementing the invention.

Inventors

GAO YUYUN
YU MINGSEN
PEI NING
ZHANG ZHENHONG
WU XIA
LV HUAMING

Assignees

中通信息服务有限公司

Dates

Publication Date: 20260512
Application Date: 20251230

Claims (10)

1. The intelligent control method for the intelligent electric bicycle is characterized by being applied to an intelligent control system of an electric bicycle, wherein the intelligent control system of the electric bicycle comprises RFID (radio frequency identification device) read-write equipment, video acquisition equipment and an intelligent control platform of the electric bicycle, and the intelligent control system of the electric bicycle is used for realizing control of the vehicle in a vehicle driving scene, and the method comprises the following steps: The intelligent control platform of the electric vehicle determines electric vehicle passing information of a vehicle running scene based on RFID signal data of the vehicle running scene acquired by RFID read-write equipment arranged in at least one key node area of the vehicle running scene; the intelligent control platform of the electric vehicle monitors video image data of the vehicle driving scene based on video acquisition equipment of each key node area; Aiming at each key node area, the intelligent electric vehicle control platform executes preset depth analysis operation on the electric vehicle passing information and the video image data to obtain label information of each electric vehicle in the key node area, wherein the depth analysis operation comprises index evaluation operation and/or key personnel clustering operation, and the label information comprises first type label information or second type label information; The intelligent control platform of the electric vehicle classifies all electric vehicles in the key node area according to label information of all electric vehicles in the key node area to obtain a classification result of the key node area, wherein the classification result comprises a first type electric vehicle set and a second type electric vehicle set, the first type electric vehicle set is empty or label information of all electric vehicles in the first type electric vehicle set is first type label information, the second type electric vehicle set is empty or label information of all electric vehicles in the second type electric vehicle set is second type label information, and the first type electric vehicle set and the second type electric vehicle set are not empty at the same time; And the intelligent control platform of the electric vehicle executes corresponding control operation on each electric vehicle in the key node area according to the classification result of the key node area, wherein the control operation comprises release operation or early warning operation.
2. The intelligent control method of an intelligent electric bicycle according to claim 1, wherein the electric vehicle intelligent control platform determines electric vehicle traffic information of a vehicle driving scene based on RFID signal data of the vehicle driving scene collected by an RFID read-write device disposed in at least one key node area of the vehicle driving scene, comprising: The intelligent control platform of the electric vehicle determines the scene type of at least one electronic tag in a key node area based on RFID read-write equipment distributed in the key node area of the driving scene of the vehicle, wherein the electronic tag is carried by a digital number plate installed by the electric vehicle to which the electronic tag belongs; For each electronic tag, the intelligent control platform of the electric vehicle determines a data exchange mode between the electronic tag and RFID read-write equipment distributed in a corresponding key node area according to the scene type of the electronic tag in the corresponding key node area; the intelligent control platform of the electric vehicle collects RFID signal data of each electronic tag in each key node area through RFID read-write equipment of each key node area based on the data exchange mode; and the intelligent control platform of the electric vehicle determines RFID signal data of all electronic tags in all key node areas of the vehicle driving scene, and the RFID signal data is used as electric vehicle passing information of the vehicle driving scene.
3. The intelligent control method of the intelligent electric bicycle according to claim 2, wherein the determining, by the intelligent control platform of the electric bicycle, a scene type of at least one electronic tag in at least one key node area of a driving scene of the electric bicycle in the key node area based on RFID read-write devices arranged in the key node area, includes: the intelligent control platform of the electric vehicle acquires the layout positions of RFID read-write equipment laid in at least one key node area of a vehicle driving scene and the equipment performance parameters of the RFID read-write equipment; for each key node area, the intelligent control platform of the electric vehicle detects the label position parameter of at least one electronic label in the key node area based on the RFID read-write equipment of the key node area; Aiming at each electronic tag, the intelligent control platform of the electric vehicle determines a target communication distance between the electronic tag and the RFID read-write equipment according to the equipment performance parameters of the RFID read-write equipment, the layout position of the RFID read-write equipment and the tag position parameters of the electronic tag; The intelligent control platform of the electric vehicle detects the target communication distance of the electronic tag, determines the scene type of the electronic tag to be the near field type when the target communication distance of the electronic tag is detected to be in a first preset distance interval, and determines the scene type of the electronic tag to be the far field type when the target communication distance of the electronic tag is detected to be in a second preset distance interval.
4. The intelligent control method of the intelligent electric bicycle according to claim 3, wherein the tag position parameter at least comprises a tag current position and a tag change position, and the tag change position represents a position change condition of a corresponding electronic tag in a preset time period; And for each electronic tag, the intelligent control platform of the electric vehicle determines a target communication distance between the electronic tag and the RFID read-write device according to the device performance parameter of the RFID read-write device, the layout position of the RFID read-write device and the tag position parameter of the electronic tag, including: for each electronic tag, the intelligent control platform of the electric vehicle determines a reference communication distance between the electronic tag and the RFID read-write equipment according to the layout position of the RFID read-write equipment, the current tag position of the electronic tag and the tag change position of the electronic tag; The intelligent control platform of the electric vehicle determines the signal diffusion distribution condition of the RFID read-write equipment in a key node area to which the electronic tag belongs according to the equipment performance parameters of the RFID read-write equipment, and determines the signal detection intensity of the RFID read-write equipment for the electronic tag according to the signal diffusion distribution condition and the current position of the tag of the electronic tag; The intelligent control platform of the electric vehicle determines a distance adjustment coefficient corresponding to the electronic tag according to the signal detection intensity corresponding to the electronic tag, and calculates a target communication distance of the electronic tag according to the distance adjustment coefficient corresponding to the electronic tag and a reference communication distance of the electronic tag.
5. The intelligent control method of the intelligent electric bicycle according to claim 4, wherein the determining, for each of the electronic tags, the reference communication distance between the electronic tag and the RFID read/write device by the intelligent control platform of the electric bicycle according to the layout position of the RFID read/write device, the tag current position of the electronic tag, and the tag change position of the electronic tag includes: Aiming at each electronic tag, the intelligent control platform of the electric vehicle calculates the initial communication distance between the electronic tag and the RFID read-write equipment according to the layout position of the RFID read-write equipment and the current position of the tag of the electronic tag; The intelligent control platform of the electric vehicle analyzes the movement parameters of the electronic tag according to the tag change position of the electronic tag, wherein the movement parameters comprise a movement direction and at least one subclass movement parameter in the movement direction, and all subclass movement parameters comprise at least one of movement distance, movement speed and movement duration; The intelligent control platform of the electric vehicle predicts the distance change trend between the electronic tag and the RFID read-write equipment in the key node area according to the moving parameters of the electronic tag and the initial communication distance of the electronic tag; The intelligent control platform of the electric vehicle predicts a plurality of expected communication distances of the electronic tag under the influence of the distance change trend according to the distance change trend of the electronic tag and the initial communication distance of the electronic tag, and selects one of the communication distance sets consisting of all the expected communication distances of the electronic tag and the initial communication distance of the electronic tag as the reference communication distance between the electronic tag and the RFID read-write equipment.
6. The intelligent control method of the intelligent electric bicycle according to any one of claims 2 to 5, wherein the scene type comprises a near field type or a far field type; And for each electronic tag, the intelligent control platform of the electric vehicle determines a data exchange mode between the electronic tag and the RFID read-write device arranged in the corresponding key node area according to the scene type of the electronic tag in the corresponding key node area, including: For each electronic tag, when the scene type of the electronic tag is the near field type, the intelligent control platform of the electric vehicle determines that a data exchange mode between the electronic tag and RFID read-write equipment distributed in a corresponding key node area is the load modulation mode; when the scene type of the electronic tag is the far field type, the intelligent control platform of the electric vehicle determines that the data exchange mode between the electronic tag and the RFID read-write equipment distributed in the corresponding key node area is the backscattering modulation mode.
7. The intelligent control method of the intelligent electric bicycle according to any one of claims 1 to 5, wherein the electric bicycle intelligent control platform monitors video image data of the vehicle driving scene based on video acquisition equipment of each key node area, comprising: monitoring video stream data in the vehicle driving scene based on video acquisition equipment of each key node area; Based on a video AI technology, analyzing the video stream data frame by frame to obtain a plurality of initial video image data; Based on a pre-trained image recognition model, recognizing all the initial video image data to obtain at least one moving object of the vehicle driving scene; Identifying each movable object according to preset alarm rule information corresponding to the video acquisition equipment to obtain driving behaviors of the movable objects; when the driving behavior of the movable object has security threat behavior violating the alarm rule information, determining early warning information aiming at the movable object according to the driving behavior of the movable object and sending the early warning information to the movable object; And integrating the initial video image data of all the moving objects with the driving behaviors and the safety threat behaviors to obtain the video image data of the vehicle driving scene.
8. The intelligent control system of the electric bicycle is characterized by comprising RFID read-write equipment, video acquisition equipment and an intelligent control platform of the electric bicycle, wherein the intelligent control system of the electric bicycle is used for realizing control of the vehicle in a vehicle driving scene, and the intelligent control platform of the electric bicycle comprises: the determining module is used for determining electric vehicle passing information of the vehicle running scene based on RFID signal data of the vehicle running scene acquired by RFID read-write equipment arranged in at least one key node area of the vehicle running scene; The monitoring module is used for monitoring video image data of the vehicle driving scene based on the video acquisition equipment of each key node area; The analysis module is used for executing preset depth analysis operation on the electric vehicle passing information and the video image data aiming at each key node area to obtain label information of each electric vehicle in the key node area, wherein the depth analysis operation comprises index evaluation operation and/or key personnel clustering operation, and the label information comprises first type label information or second type label information; The classification module is used for classifying all electric vehicles in the key node area according to the label information of all electric vehicles in the key node area to obtain a classification result of the key node area, wherein the classification result comprises a first electric vehicle set and a second electric vehicle set, the first electric vehicle set is empty or the label information of all electric vehicles in the first electric vehicle set is first label information, the second electric vehicle set is empty or the label information of all electric vehicles in the second electric vehicle set is second label information, and the first electric vehicle set and the second electric vehicle set are not empty at the same time; and the control module is used for executing corresponding control operation on each electric vehicle in the key node area according to the classification result of the key node area, wherein the control operation comprises a release operation or an early warning operation.
9. An electric bicycle intelligent control system, characterized in that, electric bicycle intelligent control system includes: a memory storing executable program code; a processor coupled to the memory; The processor invokes the executable program code stored in the memory to perform the intelligent control method of the intelligent electric bicycle of any one of claims 1-7.
10. A computer storage medium storing computer instructions which, when invoked, are adapted to perform the intelligent control method of the intelligent electric bicycle of any one of claims 1-7.

Description

Intelligent control method of intelligent electric bicycle and intelligent control system of electric bicycle Technical Field The invention relates to the technical field of artificial intelligence, in particular to an intelligent control method of an intelligent electric bicycle and an intelligent control system of an electric bicycle. Background Based on the characteristics of energy conservation, environmental protection, portability, economy and the like, the electric bicycle (namely the electric bicycle) becomes a main transportation means for the masses, and the electric bicycle has a large quantity of maintenance and rapid growth. Because the electric bicycle has huge population and low driving threshold, most of car owners have weak traffic safety consciousness, so that the traffic violations such as red light running, reverse running, road occupation and the like are more, the traffic accidents caused by the electric bicycle have high proportion, and the dead injury personnel are more, thereby forming a great threat to the road traffic safety. Therefore, electric bicycle management is an urgent issue for traffic order management. Currently, electric bicycle management mode mainly relies on pure physical number plate to carry out identification to and realizes the discernment of illegal data through the inspection of road surface police force or fixed video monitoring. However, the practice finds that the traditional electric motor car management mode has the technical defects that on one hand, the pure physical number plate is adopted for identity recognition, and is easy to be covered, forged, altered or deliberately blocked, so that the accuracy and the efficiency of the identity recognition are lower, and on the other hand, the means for realizing illegal data recognition through road police inspection or fixed video monitoring is single, and the recognition accuracy and the efficiency of complex illegal scenes are lower. These technical drawbacks all tend to result in less accurate and efficient traffic management. Therefore, it is important to provide a new intelligent control scheme for intelligent electric bicycles to improve the efficiency and accuracy of electric bicycle traffic control. Disclosure of Invention The invention provides an intelligent control method and an intelligent control system for an intelligent electric bicycle, which can improve the efficiency and accuracy of electric bicycle traffic control. In order to solve the technical problems, the first aspect of the invention discloses an intelligent control method of an intelligent electric bicycle, which is applied to an electric bicycle intelligent control system, wherein the electric bicycle intelligent control system comprises RFID (radio frequency identification) read-write equipment, video acquisition equipment and an electric bicycle intelligent control platform, and the electric bicycle intelligent control system is used for realizing control of a vehicle in a vehicle driving scene, and the method comprises the following steps: The intelligent control platform of the electric vehicle determines electric vehicle passing information of a vehicle running scene based on RFID signal data of the vehicle running scene acquired by RFID read-write equipment arranged in at least one key node area of the vehicle running scene; the intelligent control platform of the electric vehicle monitors video image data of the vehicle driving scene based on video acquisition equipment of each key node area; Aiming at each key node area, the intelligent electric vehicle control platform executes preset depth analysis operation on the electric vehicle passing information and the video image data to obtain label information of each electric vehicle in the key node area, wherein the depth analysis operation comprises index evaluation operation and/or key personnel clustering operation, and the label information comprises first type label information or second type label information; The intelligent control platform of the electric vehicle classifies all electric vehicles in the key node area according to label information of all electric vehicles in the key node area to obtain a classification result of the key node area, wherein the classification result comprises a first type electric vehicle set and a second type electric vehicle set, the first type electric vehicle set is empty or label information of all electric vehicles in the first type electric vehicle set is first type label information, the second type electric vehicle set is empty or label information of all electric vehicles in the second type electric vehicle set is second type label information, and the first type electric vehicle set and the second type electric vehicle set are not empty at the same time; And the intelligent control platform of the electric vehicle executes corresponding control operation on each electric vehicle in the key node area according to the classificat