219 results about "Motor-cyclist" patented technology

The invention is suitable for the technical field of resource recommendation, and provides a shared electric bicycle and battery charging and replacing integrated base station intelligent interaction dynamic resource recommendation method, which comprises the following steps: acquiring battery state data, user behavior data and charging demand identification of a shared electric bicycle in real time; collecting resource state data of the charging and battery replacing integrated base station; evaluating availability characteristics of available batteries of the base stations, and generating recommendation priorities of the base stations; a resource locking request containing dynamic reserved duration is sent to a target base station with the highest priority, the dynamic reserved duration is dynamically adjusted according to the real-time position of a user and navigation estimated time, and when it is detected that a path is blocked or user requirements are changed, the recommendation priority is updated; and after the battery replacement operation is completed, a recommendation strategy is optimized based on the actual performance data of the battery and user operation feedback. According to the invention, highly intelligent and personalized base station recommendation can be provided for the user, the resource configuration of the whole system is optimized, and the user experience and the operation efficiency are remarkably improved.

The invention discloses a heat dissipation control method and system for an electric bicycle charging pile, and relates to the technical field of charging control, and the method comprises the steps: arranging a temperature sensor on a power conversion device of the electric bicycle charging pile, monitoring the temperature in real time, and obtaining the output power; heat dissipation gears and environment temperature data are obtained, heat dissipation control fitting and loss analysis are carried out, and temperature control loss compensation is established; according to the power variation, the temperature sequence and the environment temperature, temperature development fitting is carried out, heat dissipation control optimization is executed, and heat dissipation control is carried out. The technical problems that the control precision of the charging process of the charging pile is insufficient and the charging efficiency and the safety of equipment are affected due to the fact that the heat dissipation intensity cannot be accurately and dynamically adjusted in the prior art are solved, and the purposes of ensuring the stable temperature control of the charging pile under various charging conditions through real-time temperature monitoring and dynamic heat dissipation control optimization and improving the charging efficiency are achieved. And the charging process control precision, the equipment safety and the charging efficiency of the charging pile are improved.

The invention belongs to the technical field of shared bicycles, and particularly relates to a station type shared bicycle system dynamic management and control method and system considering platform game, and the method comprises the steps: obtaining the related data of a target operation range, and initializing a simulation module; defining the state, action, income and state transition probability of the intelligent agent of the platform in a Markov state transition equation according to the operation target and management and control means of each platform, and initializing a neural network used for evaluating the action quality of the intelligent agent in a specific state to realize initialization of an optimization control module; supply and demand deduction and strategy optimization are carried out in the simulation module; judging whether the income of each platform in the simulation module tends to be stable or not; according to the shared bicycle-electric bicycle dynamic management and control method, a traditional shared bicycle static management and control normal form is broken through, and dynamic management and control of a shared bicycle-electric bicycle system are achieved in a high-dimensional random scene through the Markov decision process model and the deep reinforcement learning algorithm.

The invention relates to the technical field of internet bicycle renting user behavior analysis, and particularly discloses an internet bicycle renting user preference type prediction method, system and device based on order data and a storage medium. The prediction method comprises the following steps: constructing a user preference type prediction database, preprocessing data, identifying the same users of shared riding, dividing user preference types, identifying common places of the users, extracting influence factors of the user preference types, and constructing and predicting a user preference type prediction model. According to the method, through deep mining of actual shared bicycle and shared electric bicycle order data, influence factors in two aspects of environment characteristics and shared infrastructure attributes are comprehensively established, the identification and analysis process is simplified, the result is accurate and reliable, the travel preference of the user can be truly reflected, and finally the user preference classification prediction model is established.

The invention provides a control method and device of a shared electric bicycle. The control method comprises the steps of obtaining multiple pieces of pressure data collected by multiple pressure sensors according to a preset detection frequency; judging whether the shared electric bicycle is overloaded or not according to the multiple pressure data; if it is determined that the shared electric bicycle is overloaded, the speed of the shared electric bicycle is obtained; and according to the vehicle speed, a control strategy matched with the vehicle speed is determined, and the shared electric bicycle is controlled according to the control strategy. According to the mode, after it is determined that the shared electric bicycle is overloaded, corresponding control strategies can be adopted according to different bicycle speeds to control the shared electric bicycle, so that the problem that the shared electric bicycle carries people can be effectively solved, and then riding safety of a user is guaranteed.

The invention discloses an electric bicycle battery system compatible with thermal safety protection and a vehicle-mounted charger, and particularly relates to the technical field of new energy power batteries and power supply systems, and through an electric bicycle charger circuit structure, the temperature change condition of each hardware in the use process and the degree of influence on the charger safety are tested; the temperature monitoring area of the charger is determined, meanwhile, a battery sensing device is arranged in the charger, the current change situation in the charging process can be monitored in real time, and it is ensured that a battery system is damaged due to the fact that the current is too large; a charger performance evaluation and active protection strategy based on'electricity and heat 'coupling is designed, the problem of safe use of an electric bicycle charger is solved, and an electric bicycle battery system with'charger built-in, an internal battery management system and external safety protection' is built by establishing an'electricity and heat 'electric bicycle charging safety monitoring technology. The characteristics of the battery and the charger can be reflected timely and accurately.

The invention particularly relates to a shared electric bicycle intelligent helmet linkage lock control method and system based on the Internet of Things. The system comprises a lock control module; the helmet module is used for collecting state information of the helmet of the electric bicycle, analyzing the state information to obtain a wearing evaluation coefficient, presetting a threshold value of the wearing evaluation coefficient, comparing the obtained wearing evaluation coefficient with the wearing evaluation coefficient threshold value, and unlocking the maximum speed of the electric bicycle if the wearing evaluation coefficient is greater than the wearing evaluation coefficient threshold value; a server module; and an application module. According to the invention, an intelligent linkage mechanism guarantees the riding safety from the source; during riding, the helmet module continuously monitors the state of the helmet, and a wearing evaluation coefficient is obtained through complex analysis of level, position and pressure information; if the coefficient does not reach the standard, the speed of the electric bicycle is limited, and the user is forced to correctly wear the helmet; the whole-course management and control greatly improves the wearing rate of the helmet, reduces safety accidents caused by the fact that the helmet is not worn or improperly worn, and constructs a solid defense line for the life safety of a rider.

1. The name of this design product: short-stroke damper (axial type). 2. Application of this design product: shock absorbers for automobiles and motorcycles. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the key points of the design: 3D drawing of Design 1. 5. Designate Design 1 as the base design.

The invention discloses a shared electric bicycle battery safety monitoring method and system based on multi-source sensor fusion and computer equipment, and belongs to the technical field of shared electric bicycle battery supervision. The method comprises the following steps: acquiring multi-source battery position monitoring data and multi-dimensional battery state data of a shared electric bicycle through a plurality of sensors deployed in a battery compartment; based on the monitoring time and the battery monitoring position, time-space synchronization is carried out on multi-source battery position monitoring data, battery positioning is carried out, the battery state change trend is obtained through comparison of multi-dimensional battery state data of adjacent time sequences, then the battery health degree in the current state is evaluated, and battery life prediction is carried out. And according to a battery life prediction result, matching a multi-level risk index, when the multi-dimensional battery state data meets a risk index threshold value of a corresponding monitoring dimension, triggering a corresponding early warning mechanism, and performing multi-dimensional battery risk early warning in combination with battery positioning information. The method has the effects of improving the safety performance of the shared electric bicycle battery and detecting the battery abnormity in time.

The invention discloses a shared electric bicycle fixed-point directional parking system, and relates to the technical field of fixed-point directional parking, a GPS signal quality detection mechanism is adopted, the variance of GPS data is calculated through multiple times of sampling, the positioning precision is evaluated, if the signal is stable, GPS positioning is directly adopted, otherwise, UWB is called for position correction, and the positioning accuracy is improved. The final position information is calculated by adopting a weighted fusion algorithm, so that the stability of vehicle positioning is improved; a polygon bounding algorithm and Euclidean distance calculation are adopted for matching of the parking area, it is guaranteed that the parking position of the vehicle meets the standard, and misjudgment possibly caused by positioning errors is effectively filtered out by setting the tolerance range of the parking area; in the aspect of directional parking, an ultra-wide-angle camera is installed in a parking area, visual recognition is conducted on a parked vehicle in combination with an edge calculation unit, the main direction angle of the vehicle is calculated through a minimum enclosing rectangle method, and meanwhile it is guaranteed that the vehicle is parked in the preset direction by combining an IMU sensor and an electronic compass and calculating attitude information and a magnetic azimuth angle.

The invention provides a quick starting method and device for a shared electric bicycle, and the method comprises the steps: receiving a recognition message of a target user for a two-in-one tag in a target shared electric bicycle, the two-in-one tag being constructed based on a passive NFC chip and a two-dimensional code; verifying a target user based on the identification message; and under the condition of determining that the target user passes the verification, sending a verification success message to the target shared electric bicycle, so that the target shared electric bicycle executes an unlocking operation after receiving the verification success message. The two-in-one label integrated with the passive NFC and the two-dimensional code is pasted on the shared electric bicycle, so that a user can freely select code scanning or NFC induction to start an application. By means of the design, the installation process is simplified, the maintenance cost is reduced, the user experience is improved, the problems that in the using process of the two-dimensional code label, due to unclear display, time efficiency is caused easily are solved, and the unlocking accuracy of the shared electric bicycle is improved.

The embodiment of the invention relates to the technical field of traffic safety management, and discloses an electric bicycle helmet wearing recognition and driving safety control method and system.The method comprises the steps that firstly, a fisheye camera is used for capturing an image, and the height difference between a driver and passengers is analyzed; when the height difference exceeds a threshold value, the target shooting angle range of the video camera is dynamically calculated, then the target shooting angle range of the video camera is converted into a pitching angle control parameter of the holder, and then the holder is driven to adjust the posture so as to accurately capture high-quality video data of the head area of the driver and passengers; and then the wearing state of the helmet is identified through a deep learning model, and finally, a vehicle control system is linked to execute a safety strategy (such as starting limitation or alarm) according to an identification result. Therefore, the problem of head shielding or view offset caused by height difference is solved through dynamic view angle adjustment, and the reliability and accuracy of image acquisition are improved, so that the accuracy of helmet wearing recognition is improved, and the accuracy of electric bicycle safety control is improved.

The invention belongs to the technical field of intelligent transportation, and particularly relates to a shared electric bicycle intelligent scheduling method, system and device and a storage medium. The objective of the invention is to solve the technical problems in the prior art that the accuracy and timeliness of historical data are limited, and the capability of coping with emergencies or seasonal changes is weak. Comprising the steps of obtaining state information of each shared electric bicycle, performing preprocessing, and performing feature extraction to obtain sample feature data; inputting the sample feature data into a trained prediction model to obtain prediction data of each station; comparing the prediction data with the real-time number of vehicles at the stations to obtain a supply and demand difference value of each station; calculating a scheduling cost matrix among the stations, and performing scheduling principle matching on the scheduling cost matrix based on a preset scheduling principle to obtain a preliminary scheduling strategy of the stations; and constructing a target function, and optimizing the preliminary adjustment strategy by using the target function to obtain an optimized scheduling strategy.

The invention relates to the technical field of three-dimensional garages, in particular to a multi-layer stacking type rechargeable, intelligent alarming, spraying and fireproof isolation electric bicycle three-dimensional garage which comprises a terrace, a three-dimensional parking garage is constructed on the terrace, a fire pump is fixedly installed on one side of the rear end of the upper end face of the terrace, and a control box is fixed to the bottom of the fire pump; the control box is internally provided with an Internet of Things system and is accessed to a fire safety network; a plurality of empty grooves are formed in the second layer, the third layer, the fourth layer and the fourth layer of the three-dimensional parking garage at equal intervals, independent garages are movably placed in the empty grooves in the three-dimensional parking garage, charging bases are movably placed in the independent garages, and electric vehicles are parked on the charging bases. A temperature sensor and a smoke sensor are installed in the independent garage, and the spraying pipe penetrates through the independent garage. According to the system, the requirements of electric bicycle parking space, charging and the like are met, and when spontaneous combustion of the electric bicycle occurs, the system can automatically give an alarm and conduct spraying treatment, and fire is prevented from rapidly spreading around.

The invention provides a shared electric bicycle satellite positioning method and system and electronic equipment, and the method comprises the steps: obtaining a satellite positioning signal, inertial navigation system data and geographic information system data corresponding to a shared electric bicycle; processing the satellite positioning signal, the inertial navigation system data and the geographic information system data to obtain the position information of the shared electric bicycle; detecting a cellular network signal of an area where the shared electric bicycle is located; and under the condition that the cellular network signal is abnormal, the position information is sent to a cloud server through a satellite communication network. According to the shared electric bicycle satellite positioning method, the shared electric bicycle satellite positioning system and the electronic equipment provided by the invention, the position information of the bicycle can be uploaded to the cloud server under the condition that a cellular network signal is weak or no signal exists, the application scene is expanded, and the management efficiency and the safety of the shared electric bicycle are improved.

The invention provides a parking identification method and device based on a multi-modal large model. The method comprises the following steps: receiving a parking image sent by a user terminal; pre-judging the parking image based on a multi-modal large model, and determining that the parking image meets a preset condition; based on the parking image, determining the placement angle of the target vehicle, the distance between the target vehicle and other vehicles and the distance between the target vehicle and the parking line; and determining whether the target vehicle is parked normatively. The parking image shot by the user terminal instead of a fixed camera is used for identification, a camera does not need to be installed on the electric bicycle, the influence of the limitation of the visual angle of the fixed camera is avoided, and the hardware cost and the maintenance expenditure are reduced. Based on the multi-modal large model, whether the shot parking image meets the preset condition is pre-judged, and after the pre-judgment is passed, the key elements of the vehicle are further judged based on the parking image, so that the process of automatically judging whether the parking is standard or not is realized, and the judgment accuracy is improved.

The invention relates to the field of logistics distribution, and particularly provides a shared electric bicycle battery distribution path planning method based on an improved hybrid genetic algorithm. In order to solve the problems of low distribution efficiency, high operation cost, unreasonable resource scheduling and the like of the existing shared electric bicycle system (EBSS) battery management, the invention constructs a battery distribution optimization model considering the demand urgency degree. According to the method, firstly, through data analysis and literature research, an evaluation index system of the battery demand urgency degree is established, and the evaluation index system comprises the number of power-shortage electric bicycles, the human traffic, the regional population density and the number of available vehicles at a station; and quantifying the demand urgency degree of each station by adopting an entropy weight TOPSIS method, and determining the battery distribution priority according to the demand urgency degree. In the aspect of optimization scheduling, the invention provides an improved hybrid genetic algorithm (SVGA), and by combining a simulated annealing criterion and a variable neighborhood search strategy, the global search capability of the algorithm is improved, and local optimum is avoided. Experimental results show that compared with a traditional genetic algorithm (GA) and a simulated annealing improved genetic algorithm (SAGA), the SVGA has remarkable advantages in the aspects of solution cost, calculation time and solution stability. According to the invention, intelligent optimization of shared electric bicycle battery distribution is realized, the resource utilization rate is improved, the operation cost is reduced, and an innovative solution is provided for efficient management of EBSS.

1. The name of the design product: battery replacement station. 2. The use of the design product: used for providing battery replacement station for electric bicycle, electric vehicle, electric bicycle and other vehicles. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

A fixed-point charging pile management method for an intelligent electric bicycle is suitable for the intelligent electric bicycle connected with a fixed-point charging pile, and the fixed-point charging pile management method comprises the following steps: S10, the fixed-point charging pile obtains the battery power of the intelligent electric bicycle, and obtains a charging mode selected by an application program through a cloud; s20, the fixed-point charging pile determines the time period electricity price, and a dynamic charging curve is formed based on an optimization algorithm in combination with the charging mode and the battery electric quantity; s30, according to the dynamic charging curve, the fixed-point charging pile controls output power to charge the intelligent electric bicycle; and S40, continuously detecting the battery electric quantity and the charging mode by the fixed-point charging pile during charging, and updating the dynamic charging curve in real time according to the time period electricity price so as to dynamically adjust the output power of the fixed-point charging pile to charge the intelligent electric bicycle.

1. Name of the product in this design: Instrument panel. 2. Application of this design: for dashboards of electric vehicles and motorcycles. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. The name of the product of this design: Electric motorcycle charging station. 2. Purpose of this design product: used for charging stations for electric shared bicycles. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

1. The name of this design product: Motorcycle Radiator Bracket (GW07). 2. Purpose of this product design: This product design is used to dissipate heat and cool the mobile phones of outdoor cyclists. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The invention provides a time-based shared electric bicycle and public transport competition relationship analysis method and system, and the system comprises a traffic trip data set which comprises shared electric bicycle trip order data and public transport line data; the trip starting and ending point pair extraction module is used for extracting high-frequency trip starting and ending point pairs and average riding time of the shared electric bicycles from the trip order data of the shared electric bicycles; the public transport searching module is used for searching alternative public transport travel routes for high-frequency travel starting and ending points based on the public transport route data; a public transport convenience determination module that determines whether the public transport travel convenience between the high-frequency travel start-end point pair is public transport travel convenience or inconvenience based on the travel time length of the alternative public transport travel route; and a competing relationship prompting module which prompts whether the competing relationship between the shared electric bicycle between the high-frequency travel starting and ending point pair and the public transport is a complementary relationship or a competitive relationship based on the determination result of the public transport travel convenience.

The present invention relates to the field of maintenance vehicles, and is an integrated maintenance and cleaning vehicle, including a container, a control device, and a control panel electrically connected to the control device. It is characterized in that: it further includes a robotic arm and a cleaning device arranged in the container. A vision sensor, a pair of grip clamps for gripping the handlebars of an electric bicycle, and a seat clamp for gripping the seat of an electric bicycle are provided at the end of the robotic arm. A first lead screw extending along the length direction of the container is provided at the top of the container. The base of the robotic arm is threadedly connected to the first lead screw. The robotic arm, the cleaning device, the vision sensor, the grip clamps, the seat clamp, and the first lead screw are electrically connected to the control device. A vehicle-carrying platform for supporting shared electric bicycles is provided on the inner bottom surface of the container. An opening is provided on the side of the container, and the robotic arm can extend out of the opening to clamp and place shared electric bicycles. By providing a robotic arm with a vision sensor, the full-automatic picking and placing of electric bicycles between the maintenance vehicle and the parking point can be carried out, without the need for maintenance personnel, and the efficiency is high.

The present invention discloses a method, device and computer equipment for detecting people on an electric motorcycle. The method comprises the following steps: the vehicle obtains the vehicle weight in real time and uploads the vehicle weight data to a server, the server determines whether the current user has registered an account, if the user has registered an account for the first time, the user reports his / her own weight through a user terminal and the server records the current user's vehicle weight in real time, the server determines whether the current user's vehicle weight meets a second preset threshold, if the user has not registered an account for the first time, the vehicle is unlocked for riding, the server determines whether the current user's vehicle weight meets the first preset threshold, and when the server determines that it does not meet the threshold, a corresponding process of requiring the weight to be re-reported or the motor power supply to be cut off is performed; thereby realizing the detection of users using electric motorcycles to carry people, and achieving an accurate and highly applicable method.

The embodiment of the utility model provides a controller for an electric bicycle and the electric bicycle. The controller for the electric bicycle comprises a shell, the shell comprises an upper shell and a lower metal shell, a containing cavity is defined by the upper shell and the lower metal shell, and the lower metal shell comprises a bottom wall; the control circuit board is located in the containing cavity and comprises a substrate and a plurality of electronic devices fixed to the substrate, the substrate comprises a metal substrate, the metal substrate is attached to the bottom wall, and the electronic devices comprise power devices fixed to the metal substrate. According to the embodiment of the invention, heat generated by the power device can be directly conducted to the metal lower shell through the metal substrate for heat dissipation, so that a good heat dissipation effect is achieved.

The invention relates to the technical field of artificial intelligence, and discloses an intelligent management and control method of an intelligent electric bicycle and an intelligent control system of the electric bicycle. The method comprises the following steps: determining electric vehicle passing information of a vehicle driving scene through an electric vehicle intelligent control platform provided by a system based on RFID read-write equipment arranged in at least one key node area of the vehicle driving scene; monitoring video image data of a vehicle driving scene based on a video acquisition device of each key node area; executing preset deep analysis operation on the passing information of the electric vehicles and the video image data to obtain label information of the electric vehicles in each key node area; and classifying all the electric vehicles in the key node area according to the label information of all the electric vehicles in the key node area to obtain a classification result of the key node area, thereby executing corresponding management and control operation. Therefore, the traffic control efficiency and accuracy of the electric bicycle can be improved.

1. Name of the product in this design: Mobile phone stand (909B). 2. Purpose of this design: A mobile phone holder for use on motorcycles, bicycles, and electric bicycles. 3. The key design elements of this product are its shape, pattern, and combination. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

1. Name of the product in this design: Heat dissipation electric bicycle bracket (GW12). 2. Purpose of this design: This design is intended for use in supporting mobile phones, electronic products, or small objects. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.