133 results about "Motor-cyclist" patented technology

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 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 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 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 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 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 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.

The invention provides a speed control method and device for an electric bicycle, electronic equipment and a storage medium, and the method comprises the steps: pre-judging whether the electric bicycle needs to wait for a red light or not when arriving at a target traffic signal lamp based on the current signal lamp state, the remaining time length and real-time operation information, and obtaining a pre-judgment result; and in response to the pre-judgment result that the red light needs to be waited, determining a speed control strategy taking the red light ending moment of the target traffic signal lamp as the target arrival moment, and controlling the electric bicycle to adjust the driving speed based on the speed control strategy. Based on the real-time operation information of the electric bicycle and the current signal lamp state and the remaining time length of the target traffic signal lamp, whether the electric bicycle needs to wait for the red light when arriving at the intersection can be accurately pre-judged, so that the electric bicycle control strategy can get rid of subjective and lagged judgment of a rider, and then the electric bicycle can be controlled to wait for the red light when it is pre-judged that waiting is needed. The method and the device can take the end moment of the red light as a target to realize a slow-running and non-stop passing effect, thereby remarkably improving riding experience and passing efficiency.

A shared electric bicycle head sleeving machine device is characterized in that a head sleeving machine body and a bicycle basket are included, the head sleeving machine body is installed on the bicycle basket and composed of a bottom plate, an installation cover, limiting plates, a head sleeving ball and a limiting rotating plate, and the multiple sets of limiting plates are arranged between the bottom plate and the installation cover; the multiple sets of limiting plates are fixedly spliced to form a limiting channel of a snake-shaped structure, a port in one end of the limiting channel communicates with a throwing opening in the installation cover, a port in the other end of the limiting channel is located beside a limiting rotating plate, the limiting rotating plate is installed beside a discharging opening formed in the installation cover, and a head sleeve ball is placed in the limiting channel. When a rider uses the shared electric bicycle, the limiting rotating plate can be controlled to rotate through a control system of the shared electric bicycle, so that a disposable head cover is provided for the rider, the problem of insanitation caused by shared use of safety helmets can be solved, the rider can wear the safety helmets trustingly, and the traffic safety consciousness is improved.

The invention discloses an electric bicycle battery changing cabinet locating and sizing method and system based on bilevel programming. The method comprises the following steps: firstly, acquiring required parameters, constructing each individual of an initial population in an upper-layer optimization model based on the required parameters, and coding candidate site selection schemes and capacity configuration of the power conversion cabinet; then, the initial population is transmitted to a lower-layer solving module, the lower-layer solving module generates a plurality of feasible scheduling paths of a scheduling vehicle in a random scene through the randomization requirement of an electric bicycle station, Monte Carlo sampling and a variable neighborhood search algorithm, and the comprehensive index of the individual is calculated according to the feasible scheduling paths. And then, feeding back the comprehensive index to an upper layer optimization model for correcting the initial population, and obtaining a convergent optimal solution through an iterative evolution process of the upper layer model. Through the double-layer interaction mechanism, collaborative optimization of battery changing cabinet site selection, capacity configuration and scheduling vehicle path planning is realized, and the operation efficiency and robustness of the whole system are improved.

A shared electric bicycle basket system capable of being configured with various helmets is characterized by comprising a basket assembly, a special helmet and a first safety lock, the first safety lock is installed in the basket assembly, the special helmet is installed in the basket assembly, and a lock hole matched with the first safety lock is formed in the special helmet to achieve locking of the special helmet. The main control module is installed on one side of the bicycle basket assembly and electrically connected with the first safety lock to control locking and unlocking of the first safety lock, the bicycle basket assembly is composed of a bicycle basket, a bicycle basket cover and a second safety lock, one end of the bicycle basket cover is rotatably installed at an opening of the bicycle basket, and the other end of the bicycle basket cover is rotatably installed at the opening of the bicycle basket. A lock hole matched with a second safety lock installed on the bicycle basket is formed in the other end of the bicycle basket cover, a detection assembly is installed between the bicycle basket and the bicycle basket cover, the detection assembly and the second safety lock are electrically connected with the main control module, and anti-theft protection on the helmet is achieved when a user has different use requirements for the bicycle basket.

1. Name of the design product: pedal extension plate. 2. Use of the design product: for the purpose of increasing the pedal area of an electric bicycle. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: set 1 perspective view 1.

The invention provides an electric bicycle dynamic scheduling method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining operation influence data of each electric bicycle operation grid in a current time period; the operation influence data comprises at least one of vehicle state data, user use data, meteorological environment data and traffic flow data; inputting the operation influence data into an electric bicycle demand prediction model to obtain the electric bicycle demand quantity of each electric bicycle operation grid in a future time period, wherein the electric bicycle demand quantity is output by the electric bicycle demand prediction model; and scheduling the electric bicycles of each electric bicycle operation grid based on the electric bicycle demand quantity of each electric bicycle operation grid in the future time period and the electric bicycle ownership quantity of each electric bicycle operation grid in the current time period. According to the method and the device provided by the invention, the electric bicycle demand prediction accuracy is improved, and the electric bicycle scheduling efficiency is improved.

1. The name of the design product: seat tube (SP-728). 2. The use of the design product: used for installing seat cushion, connecting frame and seat cushion for bicycle and electric bicycle. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention provides an electric bicycle riding obstacle avoidance method, an electric bicycle and a storage medium, and the method comprises the steps: controlling a vehicle-mounted camera to enter a snapshot mode when the electric bicycle is in a driving state, recognizing the obstacle image information from an image captured by the vehicle-mounted camera, judging whether there is a preset obstacle in a preset range in the obstacle image information, and if yes, judging whether there is a preset obstacle in the preset range; when a preset obstacle exists in a preset range in the obstacle image information, a selected obstacle is extracted from the obstacle image information, a nearest distance value between the radar sensing device and the selected obstacle is obtained, whether the nearest distance value is smaller than a first preset threshold value or not is judged, and when the nearest distance value is smaller than the first preset threshold value, the radar sensing device sends the obstacle to the selected obstacle. And sending a first early warning instruction to a user side corresponding to the electric bicycle. The obstacle sensing capability of the area behind the vehicle can be greatly improved, and the riding safety is improved.

The present invention provides a method and an electric bicycle for detecting and processing traffic accidents based on an electric bicycle helmet. By acquiring real-time status information of the electric bicycle and determining whether the electric bicycle is in an on state according to the real-time status information, when the electric bicycle is in the on state, controlling the camera mounted in front of the electric bicycle helmet to enter the capture mode, and acquiring environmental image information captured by the camera at a first preset time interval, determining whether there is a preset traffic accident image in the environmental image information, when there is a preset traffic accident image in the environmental image information, controlling the camera to enter the first video recording mode, waiting for a first preset duration, and sending the environmental image information and / or a first warning instruction recorded by the camera within the first preset duration to a first target object. The present invention can detect whether a traffic accident occurs in the external environment of the electric bicycle and itself, and has the advantages of high timeliness and high detection efficiency.

The application discloses an electric bicycle compliance placement detection device, method and system and a storage medium. The device comprises a ground plate installed on a road surface and an RFID reader installed on a bicycle foot support. An RFID tag is arranged in the ground plate. When the foot support is placed in a set position, the electric bicycle is in a compliance placement state. When the foot support is placed in other positions, the electric bicycle is in a non-compliance placement state. When the RFID reader can identify the RFID tag, it is determined that the foot support is placed in compliance. Otherwise, it is determined that the foot support is placed in non-compliance. The application solves the problems of a large width or length required by a ground device, unstable placement of a vehicle, high placement position requirement of a sensor, large data calculation amount and low detection precision in the related art.

This invention discloses a stamped shared electric bicycle frame and its manufacturing process. The frame includes a main frame shell formed by stamping and welding, front and rear fork assemblies, and connecting supports. The main frame shell is a U-shaped double-shell spliced ​​structure with cross reinforcing ribs on the inner side; the front fork is a gradually thickened integral structure, and the rear fork is a symmetrical fork arm structure; the connecting supports have welded flanges. All components are connected using a combination of resistance spot welding and CO2 gas shielded welding, and the surfaces have a composite protective layer of phosphating and powder coating. The manufacturing process includes raw material pretreatment, multi-station stamping, assembly welding, surface protection treatment, and final inspection and assembly. This invention, through optimized stamping structure design and manufacturing process, achieves high strength, lightweight, excellent corrosion resistance, and high dimensional accuracy in the frame, making it particularly suitable for the high-frequency, high-load use conditions of shared electric bicycles and meeting the needs of efficient, low-cost mass production.

The present application relates to the technical field of shared electric bicycle unmanned patrol, in particular to a shared electric bicycle unmanned patrol method, system and device, S1, the position of the shared electric bicycle in the preset range is acquired, and the density distribution is calculated; S2, the dynamic patrol interval is set for the region with different density distribution; S3, the positioning coordinates of the shared electric bicycle are obtained based on the dynamic patrol; if in the unused state, the positioning coordinates occur positioning drift, the preset space drift compensation processing is called, and the corrected positioning coordinates are obtained; S4, the corrected positioning coordinates and the positioning coordinates without drift are used as the to-be-judged coordinates, if the to-be-judged coordinates do not fall into the boundary of the optimized electronic fence, it is judged that the shared electric bicycle is parked irregularly; S5, the validity of the irregular parking judgment is judged, if the irregular parking judgment is valid, the irregular position of the shared electric bicycle parked irregularly and the disposal instruction are generated and pushed. The application has high accuracy of irregular parking judgment, small error and does not depend on manual patrol.

The invention is suitable for the technical field of charging optimization, and provides a shared electric bicycle battery health prediction and off-peak charging optimization method based on big data, and the method comprises the steps: inputting obtained battery operation data into a pre-trained battery health prediction model, and outputting a health state prediction value of a battery; constructing a multi-target optimization model aiming at reducing the overall operation cost of the shared electric bicycle fleet, prolonging the overall service life of a battery pack of the fleet and stabilizing the regional power grid load; based on the determined health state prediction value, the time-of-use electricity price data, the power grid load data and the charging demand data, a genetic algorithm is adopted for solving, and a peak shifting charging scheduling scheme is obtained; and issuing the off-peak charging scheduling scheme to a charging control terminal of the shared electric bicycle operation platform so as to execute centralized off-peak charging operation. The method solves the problems of inaccurate prediction, uneconomical scheduling and disjunction of a power grid and actual operation in the prior art, and realizes collaborative optimization of operation efficiency, battery life and power grid friendliness.

The invention provides an electric bicycle control method and device, electronic equipment and a storage medium. The method comprises the steps that area identification information of a target area is acquired; the area identification information is sent to a cloud server, so that the cloud server inquires vehicle control information corresponding to the area identification information from a mapping relation database according to the received area identification information, and the vehicle control information is sent to the electric bicycle; vehicle control information sent by the cloud server is received, and the electric bicycle is controlled based on the vehicle control information. And an RFID sensor at the bottom of the electric bicycle interacts with the RFID tag buried in the target area to obtain area identification information. And based on the area identification information, identifying a control requirement required by the area where the electric bicycle is located. The control strategy of the electric bicycle can be flexibly adjusted according to rules and requirements of different areas, standardized management of riding of the electric bicycle is achieved, and riding safety is improved.

The present application relates to a method, device, computer equipment and storage medium for deploying a charging cabinet of a shared electric bicycle, belonging to the technical field of data processing. The method includes: determining a periodic inspection time period corresponding to a target area according to the battery replacement route, and obtaining position information related to historical orders corresponding to the periodic inspection time period in the target area; performing distance clustering on all the obtained position information to obtain a plurality of position sets; using a density clustering algorithm to determine a plurality of position subsets included in each position set; determining an optimal position corresponding to each position set according to the plurality of position subsets included in each position set; and determining the deployment position of the charging cabinet in the target area based on the optimal position. By adopting this method, the overall distribution of the shared electric bicycles that need battery replacement can be comprehensively analyzed from the data level, and the optimal deployment position of the charging cabinet can be obtained by solving accordingly.

The electric bicycle grabbing mechanism comprises a top frame, the left side and the right side of the top frame are provided with sliding structures capable of sliding in the front-back direction or rolling structures capable of rolling in the front-back direction; the sliding frame is movably mounted on the top frame in the left-right direction; the left-right movement driving mechanism is mounted on the top frame and connected with the sliding frame so as to drive the sliding frame to slide in the left-right direction; the positioning pulley is mounted on the sliding frame; the winch is mounted on the sliding frame, a retractable lifting rope is wound on the winch, the lifting rope is wound on the positioning pulley and penetrates through the sliding frame, and a lifting hook structure is connected to the lower end of the lifting rope and used for hooking part of the structure of the electric bicycle. Through cooperation of the winch, the lifting rope, the positioning pulley and the lifting hook structure, electric bicycles can be automatically grabbed, workers do not need to manually bend down and lift the electric bicycles, a traditional manual carrying mode is replaced, and the labor intensity of the workers is reduced; and bumping and abrasion to the electric bicycle in manual operation are effectively avoided.

1. The name of the design product: saddle. 2. The use of the design product: saddle for bicycles, moped, electric bicycle, electric bicycle, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: design 1 perspective view. 5. Design 1 is designated as the basic design. 6. Design 2 and design 3 request protection of color.