CN-122001910-A - Two-wheeled car renting safety control voice interaction system based on electronic fence

CN122001910ACN 122001910 ACN122001910 ACN 122001910ACN-122001910-A

Abstract

The invention discloses a two-wheeled car renting safety control voice interaction system based on an electronic fence, which relates to the technical field of electronic fences and specifically comprises the following steps: the multi-dimensional data are collected through positioning and sensing equipment, a secondary fence area is divided, the range of a vehicle is judged, basic data support is provided for management and control, a sliding statistical period is set, an operation response mean value and a variance index are calculated through a quantitative model, multi-dimensional behavior parameters are constructed, standardized processing is carried out on area risks and the behavior parameters, linkage risk values are calculated, risk grades are divided, gradient management and control strategies are matched, multi-mode interaction is achieved through voice guidance and lamplight warning, user response is monitored in real time, management and control intensity is dynamically adjusted, model optimization iteration is completed through data recording and analysis, strong correlation of area risks and behavior risks, dynamic adaptation of the management and control strategies and continuous optimization of interaction experience are achieved through the system, and illegal riding and potential safety hazards are effectively reduced.

Inventors

LIN HONGHUI
CHEN RONG
CHEN YUFEI

Assignees

深圳风火轮科创科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260130

Claims (8)

1. Two-wheeled car renting safety control voice interaction system based on electronic fence, its characterized in that includes: The data acquisition and region judgment module acquires vehicle position, running state and operation related data through positioning and sensing equipment, divides management and control regions with different functions, judges the region of the vehicle and the distance between the vehicle and a core region, and meanwhile, is connected with an external map related interface to acquire basic data and define a management and control range; The operation behavior feature quantization module is used for setting a fixed statistical period, calculating the mean value and variance statistical result of operation response related data, constructing quantization indexes reflecting operation stability, cooperative risk and response balance, and quantizing the user operation safety related features to form multidimensional behavior parameters capable of evaluating the user operation safety level; The risk classification management and control module is used for carrying out standardized processing on multidimensional behavior parameters, calculating linkage risk values by combining regional risks, classifying, matching gradient management and control strategies, guiding a user through multi-mode prompt, monitoring user response in real time, dynamically adjusting management and control measures, recording full-flow data for optimization and iteration of a follow-up model, realizing risk classification management and control and continuous optimization, dynamically adapting safety management and control intensity, and guaranteeing riding safety.
2. The two-wheeled car renting safety control voice interaction system based on the electronic fence according to claim 1, wherein the data related to the position, the running state and the operation of the car are collected through positioning and sensing equipment, and the specific method is as follows: The positioning device collects position coordinates and course angle data, the sensing device integrates speed, braking trigger, acceleration trigger, steering angle and timing function components, wheel rotating speed, braking trigger signals, acceleration trigger signals and steering angle change data are collected, abnormal speed data exceeding a conventional operation interval are removed through a preset range screening mechanism, effective speed data are output, the timing component counts up from the time that the speed of the vehicle reaches a preset operation threshold value for the first time after the vehicle is unlocked, the timing is stopped when the speed is lower than a preset pause threshold value and lasts for a preset duration, the timing is continued to be accumulated after the vehicle is restored to the preset operation threshold value, the timing is stopped when the vehicle is locked, time nodes of the braking trigger signals and the braking deceleration reaching a preset amplitude are captured through the sensing device, time difference between the two time nodes is calculated, the time difference between the acceleration trigger signals and the acceleration reaching the preset amplitude is calculated, steering angle change is detected, the effective steering is judged to be an effective steering, and the effective steering times in a preset time period are counted when the steering angle reaches the preset angle threshold value and the duration time is reached.
3. The two-wheeled car renting safety management and control voice interaction system based on the electronic fence according to claim 1, wherein the management and control areas with different functions are divided, and the specific method is as follows: The method comprises the steps of analyzing real-time position coordinates of a vehicle by adopting a space judgment algorithm, comparing the position coordinates with preset area boundary data, judging the current area of the vehicle, calculating the shortest linear distance from the vehicle to the boundary of a core management and control area by using a space distance calculation method, distinguishing the fact that the vehicle is positioned inside and outside the core management and control area by using positive and negative distance attributes, calling external map service by using a network interface, obtaining road data and stop point distribution data required by route planning, establishing an interaction channel of route planning and stop point inquiry, and realizing the butt joint and cooperation of the external data and module internal data.
4. The two-wheeled car renting safety control voice interaction system based on the electronic fence according to claim 1, wherein a fixed statistical period is set, and a mean value and variance statistical result of operation response related data is calculated, and the specific method is as follows: A sliding statistics period with a preset fixed duration is used for circularly collecting related data of braking response time and acceleration response time by taking the period as a unit, the braking response time data in each sliding statistics period is counted, the number of effective events of which the braking deceleration reaches a preset amplitude in the period is accumulated, and the average value of the braking response time in the period is obtained by a calculation mode of taking an average value after summation; The same statistical logic is adopted, the number of effective events of which the acceleration and the acceleration reach the preset amplitude is accumulated, the acceleration response time average value is calculated, and the braking response time variance in each sliding statistical period is calculated through a variance calculation formula based on the braking response time average value and each single braking response time data; Similarly, calculating acceleration response time variance based on the acceleration response time mean value and each single acceleration response time data; and in each sliding statistical period, extracting the maximum course angle in each effective steering process as the effective course angle of the steering, collecting all effective course angle data, and obtaining the course angle fluctuation variance in the period through a variance calculation method.
5. The two-wheeled car renting safety control voice interaction system based on the electronic fence according to claim 1, wherein a quantization index reflecting operation stability, cooperative risk and response balance is constructed, and the user operation safety related characteristics are quantized, specifically comprising the following steps: Setting a position risk weight parameter, dynamically adjusting the parameter based on the distance from the vehicle to the boundary of the core management and control area, multiplying the position risk weight by a brake response time variance and an acceleration response time variance respectively, multiplying the (1-position risk weight) by a course angle fluctuation variance, summing the three product results, adding a minimum constant, and taking the reciprocal of the sum as an operation stability related index; collecting average speed, effective steering times and effective steering angle mean value in a sliding statistics period, multiplying the average speed, the effective steering times and the effective steering angle mean value by each other, adding the products of the maximum steering angle and a preset safety speed threshold value, adding a minimum value constant, and taking the quotient of the sum as a collaborative risk related index; and calculating the absolute value of the difference between the brake response time average value and the acceleration response time average value, taking the absolute value of the ratio of the absolute value to the sum of the absolute value and the acceleration response time average value plus an extremely small value constant, and subtracting the absolute value from 1 to obtain a response equilibrium related index.
6. The two-wheeled car renting safety control voice interaction system based on the electronic fence according to claim 1, wherein the multi-dimensional behavior parameters are standardized, and the linkage risk value is calculated and classified by combining regional risks, and the specific method is as follows: Determining regional risk correction coefficients, respectively performing anomaly degree conversion on the standardized multidimensional behavior parameters, converting each parameter into a quantized value reflecting the anomaly degree of the regional risk correction coefficients through a preset conversion rule, calling a corresponding parameter weight distribution scheme according to the region where the vehicle is located, endowing each parameter anomaly degree with corresponding weights according to a core, association and auxiliary priority echelon, stacking collaborative penalty items according to the product of the core parameter anomaly degree and the corresponding weights, the sum of the product of the association parameter anomaly degree and the corresponding weights and the product of the auxiliary parameter anomaly degree and the corresponding weights, multiplying the collaborative penalty items with the regional risk correction coefficients to obtain linkage risk values comprehensively reflecting regional risk and behavior risk superposition effects, and setting a plurality of linkage risk value thresholds to finish the division of risk grades based on the grading standard formed by historical operation safety data statistics.
7. The two-wheeled car renting safety control voice interaction system based on the electronic fence according to claim 6, wherein the method for determining the regional risk correction coefficient is as follows: and (3) performing standardized processing on the multidimensional behavior parameters output by the operation behavior characteristic quantization module, determining regional risk conduction coefficients according to a preset rule based on the relative distance between the current position of the vehicle and the boundary of the core management and control region, determining different regional risks, calculating regional risk gradient amplification factors by combining hyperbolic tangent functions with the reciprocal of the absolute value of the distance, and multiplying the regional risk conduction coefficients by the (1+ regional risk gradient amplification factors) to obtain regional risk correction coefficients.
8. The two-wheeled car renting safety control voice interaction system based on the electronic fence according to claim 6, wherein the risk classification is completed by setting a plurality of linkage risk value thresholds, and the specific method is as follows: Setting a grading threshold of linkage risk values, dividing the linkage risk values into four gradient grades, wherein a low risk grade corresponds to the linkage risk value being lower than a first threshold, continuously collecting real-time data by a system under the grade, not starting an additional management component, wherein the middle risk grade corresponds to the linkage risk value between the first threshold and a second threshold, starting an early warning component by the system, outputting a slight early warning signal, wherein a high risk grade corresponds to the linkage risk value between the second threshold and a third threshold, strengthening the output intensity of the early warning signal by the system, simultaneously starting an operation limiting component, reducing the power output according to a preset proportion, wherein the extremely high risk grade corresponds to the linkage risk value being higher than the third threshold, outputting an emergency early warning signal by the system, reducing the power output according to a lower preset proportion, and limiting the vehicle speed within a preset safety threshold when the risk grade is not relieved continuously preset for a preset time.

Description

Two-wheeled car renting safety control voice interaction system based on electronic fence Technical Field The invention belongs to the technical field of electronic fences, and particularly relates to a two-wheeled car renting safety control voice interaction system based on an electronic fence. Background With the rapid development of the shared travel industry, two-wheeled car renting becomes an important choice for urban short-distance travel due to the flexible and convenient characteristics, but the following problems of safety control and compliance operation are increasingly prominent. The prior electronic fence related application is mainly used for simply judging the boundary of a region, only carrying out single management and control measures after the vehicle exceeds a defined range, lacking gradient identification and conduction of regional risks, failing to deeply correlate the position of the vehicle with the riding operation behavior of a user, leading to lag management and control and lack of pertinence, and lacking systematic quantitative analysis on monitoring the riding operation of the user, wherein key safety features such as braking response stability, steering and vehicle speed coordination rationality, acceleration and braking response equilibrium and the like are difficult to accurately capture, dynamic risks in the riding process cannot be comprehensively evaluated, and the situation that high-risk operation is not timely early-warned and compliance operation is excessively interfered easily occurs. Meanwhile, the existing voice interaction and management and control strategies are poor in suitability, prompting speech operation lacks of scene design and unified warning information, accurate guidance cannot be provided according to risk levels, region types and core risk points, and cooperative cooperation of multi-mode prompting is lacking, so that the perception degree and response efficiency of users to management and control information are low. In addition, the management and control strategies of the existing system are mostly in a fixed mode, the management and control intensity cannot be dynamically optimized according to regional risk change and user operation behavior adjustment, safety management and control and riding experience are difficult to balance, potential safety hazards such as illegal riding and dangerous operation cannot be effectively restrained, the requirement of urban traffic management on two-wheeled renting vehicle compliance operation is also difficult to meet, and the core requirement of users on safe and convenient riding is also difficult to meet. Therefore, it is needed to construct a two-wheeled car rental safety management and control voice interaction system based on electronic fence for solving the above problems. Disclosure of Invention The invention aims to provide a two-wheeled car renting safety control voice interaction system based on an electronic fence, which is used for solving the technical problems that in the prior art, key safety features such as braking response stability, steering-car speed cooperative rationality and the like cannot be accurately captured, and dynamic riding risks are difficult to comprehensively evaluate. In order to achieve the above purpose, the present invention adopts the following technical scheme: two-wheeled car renting safety control voice interaction system based on electronic fence includes: The data acquisition and region judgment module acquires vehicle position, running state and operation related data through positioning and sensing equipment, divides management and control regions with different functions, judges the region of the vehicle and the distance between the vehicle and a core region, and meanwhile, is connected with an external map related interface to acquire basic data and define a management and control range; The operation behavior feature quantization module is used for setting a fixed statistical period, calculating the mean value and variance statistical result of operation response related data, constructing quantization indexes reflecting operation stability, cooperative risk and response balance, and quantizing the user operation safety related features to form multidimensional behavior parameters capable of evaluating the user operation safety level; The risk classification management and control module is used for carrying out standardized processing on multidimensional behavior parameters, calculating linkage risk values by combining regional risks, classifying, matching gradient management and control strategies, guiding a user through multi-mode prompt, monitoring user response in real time, dynamically adjusting management and control measures, recording full-flow data for optimization and iteration of a follow-up model, realizing risk classification management and control and continuous optimization, dynamically adapting safety management and control intensity, and gua