Speed determination method and device based on speed sensor, equipment and storage medium

Abstract

The invention discloses a speed determination method and device based on a speed sensor, equipment and a storage medium, and relates to the technical field of sensors. According to the method, a speed sensor is deployed on a vehicle, and parameters are measured and adjusted to generate a speed environment baseline value; combining the vehicle speed, the road type and the external traffic condition, iteratively optimizing the speed matching point, and generating an ideal speed index; an accelerator and a braking system are adjusted through a real-time feedback control system, and speed matching parameters are obtained; capturing vehicle dynamic information, analyzing a matching effect of the data and the speed matching parameters, and generating a dynamic adjustment effect; the influence of speed adjustment on driving safety is evaluated, and a safety performance evaluation result is formed; and reconfiguring an adjustment logic based on an evaluation result, updating a control algorithm, and generating a vehicle adaptive speed control strategy. According to the method, through iterative optimization and real-time feedback control, accurate adjustment and self-adaptive control of the vehicle running speed are achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of sensors, and in particular relates to a speed determination method, device, equipment and storage medium based on a speed sensor. Background Art

[0002] With the rapid development of modern transportation technology, the safety and comfort of vehicle driving have become the focus of increasing attention. Traditional vehicle speed control systems mostly rely on fixed speed settings and simple feedback mechanisms, which are difficult to adapt to complex and changing traffic environments and driving conditions. Especially under different road conditions such as highways, urban roads and rural roads, vehicle speed control requires more flexible and intelligent strategies to ensure driving safety and efficiency.

[0003] In order to solve the above problems, existing vehicle speed control systems have begun to introduce sensor technology and advanced control algorithms. However, these systems still have some shortcomings. For example, some systems rely only on a single speed sensor, resulting in inaccurate and incomplete measurement data; some systems lack real-time adaptability to environmental changes and cannot be dynamically adjusted according to road and traffic conditions; and some systems fail to fully consider driving comfort and safety when adjusting the vehicle's speed, resulting in a poor driving experience.

[0004] Therefore, the present invention proposes a speed determination method based on speed sensors, which aims to achieve accurate measurement and intelligent control of vehicle speed by deploying multiple speed sensors, combining external traffic condition parameters and advanced control algorithms. The method can be dynamically adjusted according to different road conditions and traffic conditions to ensure the safety and comfort of vehicle driving, while improving traffic efficiency. Summary of the invention

[0005] In order to overcome the shortcomings and deficiencies of the above-mentioned prior art, the present invention adopts the following technical solutions:

[0006] The speed determination method based on the speed sensor comprises the following steps:

[0007] Step 1: deploy multiple speed sensors at the front and / or rear of the vehicle, measure the current vehicle speed, adjust measurement parameters to match different road conditions, record and analyze data, and generate a speed environment baseline value;

[0008] Step 2: According to the speed environment baseline value, combined with vehicle speed, road type and external traffic conditions, iteratively optimize the speed matching point to generate an ideal speed index;

[0009] Step 3: Through the real-time feedback control system, the accelerator and brake system of the vehicle are adjusted according to the ideal speed index, the deviation between the actual speed of the vehicle and the predetermined target is monitored, and the speed matching parameters are obtained;

[0010] Step 4: According to the speed matching parameters, capture the vehicle dynamic information, analyze the matching effect between the data and the speed matching parameters, adjust the vehicle driving strategy to adapt to the new driving environment, and generate a dynamic adjustment effect;

[0011] Step 5: Use the dynamic adjustment effect to evaluate the impact of speed adjustment on driving safety, compare the driving scene feedback under the differentiated adjustment strategy, optimize the adjustment strategy, and form a safety performance evaluation result;

[0012] Step 6: Based on the safety performance evaluation results, reconfigure the adjustment logic, update the control algorithm, and generate the vehicle adaptive speed control strategy.

[0013] Preferably, the process of generating the speed environment baseline value in step 1 includes:

[0014] S11, deploying a speed sensor and obtaining a speed measurement data table;

[0015] S12, extracting speed data at a time point from a speed measurement data table to determine a driving mode under a current environment;

[0016] S13. Using the data in the driving mode, dynamically adjust the vehicle's accelerator, braking system and cruise control to generate a speed environment baseline value.

[0017] Preferably, the process of generating the ideal speed index in step 2 includes:

[0018] S21, based on the speed environment baseline value, introducing vehicle speed and external traffic condition parameters, adjusting the initial speed value, and generating a speed adjustment index;

[0019] S22, performing iterative optimization, adjusting the vehicle speed, and obtaining an optimized matching index;

[0020] S23. Apply a feedback control algorithm to adjust the vehicle speed to an ideal state and generate an ideal speed index.

[0021] Preferably, the process of obtaining the speed matching parameters in step 3 includes:

[0022] S31, initializing the accelerator and the brake system to obtain a preliminary acceleration adjustment table;

[0023] S32, monitoring the matching degree between the output of the braking system and the vehicle speed, and obtaining an optimized braking adjustment table;

[0024] S33. According to the optimized brake adjustment table, adjustment parameters are determined and settings are locked, and a speed matching parameter table is generated.

[0025] Preferably, the process of generating the dynamic adjustment effect in step 4 includes:

[0026] S41, capturing vehicle dynamic information and obtaining preliminary adjustment data;

[0027] S42, detecting the real-time impact of environmental changes on vehicle speed and obtaining adjustment strategy data;

[0028] S43. Use the adjustment strategy data to optimize the vehicle driving adjustment process and generate a dynamic adjustment effect.

[0029] Preferably, the process of forming the safety performance evaluation result in step 5 includes:

[0030] S51, capturing the speed-adjusted data to obtain a driving comfort data set;

[0031] S52, analyzing safety feedback of differentiated speed adjustment strategies in multiple driving scenarios, and obtaining strategy optimization analysis results;

[0032] S53. Utilize the strategy optimization analysis results to conduct performance evaluation and generate security performance evaluation results.

[0033] Preferably, the process of generating the vehicle adaptive speed control strategy in step 6 includes:

[0034] S61, identifying key response time and sensitivity requirements, and obtaining an optimized control logic configuration;

[0035] S62, performing real-time road testing to obtain real-time test adjustment data;

[0036] S63. Simulate the vehicle adaptability test in a differentiated driving environment, verify and adjust the vehicle driving speed, and generate a vehicle adaptive speed control strategy.

[0037] Preferably, the speed environment baseline value includes a lower speed limit, an average speed and an upper speed limit; the ideal speed index includes an optimal speed value, a speed adjustment limit and a speed adjustment frequency; the speed matching parameters include output power, acceleration accuracy and feedback adjustment time; the dynamic adjustment effect includes speed response delay, adjustment strategy compatibility and speed matching accuracy; the safety performance evaluation results include driving comfort improvement rate, driver satisfaction and accident prevention effect; the vehicle adaptive speed control strategy includes an environmental adaptation algorithm, an adjustment logic reaction speed and a strategy update cycle.

[0038] An abnormal feature extraction device for elevator human body induction sensor data, comprising: a speed perception module, a speed calculation module, a power regulation module, a speed synchronization module and a performance evaluation module;

[0039] Speed ​​perception module: deploy multiple speed sensors at the front and / or rear of the vehicle to monitor the surrounding speed in real time, adjust the sensitivity of the speed sensor according to environmental changes, capture continuous environmental speed data, and generate a speed measurement data table;

[0040] Speed ​​calculation module: Based on the speed environment baseline value, combined with vehicle speed, road type and external traffic conditions, iteratively optimizes the speed matching point to generate an ideal speed index;

[0041] Power regulation module: adjusts the current and voltage parameters of the vehicle's accelerator and brake system according to the ideal speed index, optimizes the distribution of current and voltage through real-time monitoring and adjustment feedback mechanism, and obtains the vehicle control status;

[0042] Speed ​​synchronization module: synchronizes the actual driving speed of the vehicle in real time according to the vehicle control status, monitors the difference with the target speed, adjusts the deviation, and generates speed synchronization feedback;

[0043] Performance evaluation module: Analyze speed synchronization feedback, evaluate the effectiveness of speed adjustment strategy in differentiated driving environments, adjust vehicle driving strategy based on feedback, optimize driving effect and safety, and generate vehicle adaptive speed control strategy.

[0044] An electronic device, comprising:

[0045] one or more processors;

[0046] A memory for storing one or more programs;

[0047] When one or more programs are executed by one or more processors, the one or more processors implement the method according to any one of claims 1 to 8.

[0048] A computer-readable storage medium stores computer instructions, which, when executed by a processor, implement the steps of any one of the methods of claims 1 to 8.

[0049] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0050] By deploying multiple speed sensors and combining environmental adaptability adjustment, this method can more accurately measure and adapt to the vehicle speed under different road conditions, providing a basis for precise control; through a real-time feedback control system, this method can adjust the vehicle's accelerator and braking system according to the ideal speed index, while capturing vehicle dynamic information, analyzing the matching effect of data and speed matching parameters, and achieving dynamic optimization; this method not only focuses on the precise control of vehicle speed, but also identifies key response time and sensitivity requirements through safety performance evaluation, reconfigures the adjustment logic, updates the control algorithm, and generates a vehicle adaptive speed control strategy to improve driving safety and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A flow chart of a speed determination method based on a speed sensor of the present invention is shown;

[0053] Figure 2 A module schematic diagram of a speed sensor-based speed determination device of the present invention is shown. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0056] Embodiment 1:

[0057] See also Figure 1As shown, the speed determination method based on the speed sensor of this embodiment has the following process:

[0058] Step 1: Deploy multiple speed sensors at the front and / or rear of the vehicle to measure the current vehicle speed, adjust measurement parameters to match different road conditions, record and analyze data, and generate a speed environment baseline value.

[0059] The details are as follows:

[0060] S11. Deploy speed sensors: deploy multiple speed sensors at the front and / or rear of the vehicle, measure the peak and valley values ​​of the speed during starting and stopping, adjust the sensor sensitivity and filter threshold according to the data, measure the ambient speed by comparing the speed changes in different time periods, make environmental adaptability adjustments, and obtain a speed measurement data table.

[0061] S12, extracting speed data: extracting speed data at a time point from the speed measurement data table, and comparing it with a preset speed standard, adjusting a data matching threshold and data normalization processing, determining a driving mode in a current environment, including urban roads, highways, and rural roads, and obtaining an environmental driving mode by matching multiple types of driving conditions.

[0062] S13. Dynamically adjust the vehicle driving strategy: Utilize the data in the environmental driving mode to dynamically adjust the vehicle's accelerator, braking system and cruise control, and respond to and adjust the driving speed, including acceleration, deceleration and cruise control, to generate a speed environment baseline value.

[0063] Among them, the speed environment baseline value includes the lower speed limit, the average speed and the upper speed limit, the ideal speed index includes the optimal speed value, the speed adjustment limit and the speed adjustment frequency, the speed matching parameters include the output power, the acceleration accuracy and the feedback adjustment time, the dynamic adjustment effect includes the speed response delay, the adjustment strategy compatibility and the speed matching accuracy, the safety performance evaluation result includes the driving comfort improvement rate, the driver satisfaction and the accident prevention effect, and the vehicle adaptive speed control strategy includes the environment adaptation algorithm, the adjustment logic reaction speed and the strategy update cycle.

[0064] Step 2: Calculate the target speed: Based on the speed environment baseline value, combined with vehicle speed, road type (such as expressway, urban road, rural road, etc.) and external traffic conditions (such as traffic flow, speed limit signs, etc.), iteratively optimize the speed matching point to generate an ideal speed index.

[0065] The details are as follows:

[0066] S21, initial speed adjustment: based on the speed environment baseline value, the vehicle speed and external traffic condition parameters are introduced, the initial speed value is adjusted, the parameters are used to perform the first round of speed adjustment, new speed parameters are calculated, and a speed adjustment index is generated.

[0067] S22, iterative optimization: based on the speed adjustment index, iterative optimization is performed to adjust the vehicle speed, use detailed measures to reduce the deviation between the real-time speed and the target speed, adjust the speed matching point, and obtain an optimized matching index.

[0068] S23, applying feedback control algorithm: using the optimization matching index, applying feedback control algorithm, adjusting the vehicle speed to an ideal state, monitoring the consistency between the output and the target setting, and generating an ideal speed index.

[0069] Step 3: Real-time feedback control of the accelerator and brake system: Through the real-time feedback control system, the accelerator and brake system of the vehicle are adjusted according to the ideal speed index, the deviation between the actual speed of the vehicle and the predetermined target is monitored, and the speed matching parameters are obtained.

[0070] The details are as follows:

[0071] S31. Initialize the accelerator and brake system: according to the ideal speed index, install and initialize the accelerator and brake system, measure the speed of the vehicle in differentiated time periods, and record the initial acceleration and deceleration, adjust the acceleration output based on the data, dynamically adjust the acceleration output, update the acceleration configuration in real time and match the environmental changes, and obtain a preliminary acceleration adjustment table.

[0072] S32, monitor the matching degree of voltage output and speed: based on the data in the preliminary acceleration adjustment table, monitor the matching degree of the output of the braking system and the vehicle speed, and make key braking adjustments, including adjusting braking parameters and optimizing braking output. Braking adjustments are made through real-time monitoring data to obtain an optimized braking adjustment table.

[0073] S33, determining adjustment parameters: adjusting acceleration and braking according to the optimized braking adjustment table, determining adjustment parameters and locking settings, automatically recording the adjusted parameters, and generating a speed matching parameter table.

[0074] Step 4: Capture vehicle dynamic information: According to the speed matching parameters, capture vehicle dynamic information (such as acceleration, deceleration, steering angle, etc.), analyze the matching effect of the data and speed matching parameters, adjust the vehicle driving strategy to adapt to the new driving environment, optimize data processing, and generate dynamic adjustment effects.

[0075] The details are as follows:

[0076] S41. Capturing vehicle dynamic information: Based on the speed matching parameters, capturing the real-time vehicle speed and external traffic condition data, analyzing the initial deviation between the data and the speed matching parameters, calculating preliminary adjustment requirements, adjusting the baseline setting of vehicle driving through the data, and obtaining preliminary adjustment data.

[0077] S42, detecting the real-time impact of environmental changes on vehicle speed: based on the preliminary adjustment data, detecting the real-time impact of environmental changes on vehicle speed, adjusting the vehicle speed to match changes in environmental traffic conditions, updating the driving strategy in real time to match environmental changes, and obtaining adjustment strategy data.

[0078] S43, optimizing the driving adjustment process: using the adjustment strategy data, optimizing the vehicle driving adjustment process, matching the continuous changes of the driving environment through a refined output strategy, maintaining the consistency of the vehicle driving speed with environmental requirements, and generating a dynamic adjustment effect.

[0079] Step 5: Evaluate the impact of speed adjustment on driving safety: Use the dynamic adjustment effect to evaluate the impact of speed adjustment on driving safety, compare driving scenario feedback under differentiated adjustment strategies, optimize the adjustment strategy, and form a safety performance evaluation result.

[0080] The details are as follows:

[0081] S51. Capturing data after speed adjustment: Based on the dynamic adjustment effect, in a variety of traffic environments, deploying vehicle-mounted sensors to capture the data after vehicle speed adjustment in real time, and record changes in driving comfort, synchronously record the real-time adjustment of vehicle speed in differentiated environments and driving comfort feedback, collect driving data in multiple environments, and obtain a driving comfort data set.

[0082] S52. Analyze safety feedback of differentiated speed adjustment strategies: Based on the driving comfort data set, analyze safety feedback of differentiated speed adjustment strategies in multiple driving scenarios, including screening key driving comfort and accident rate correlation data from the data set, comparing safety feedback of multiple strategies, optimizing speed adjustment strategies, and obtaining strategy optimization analysis results.

[0083] S53, generating safety performance evaluation results: using the strategy optimization analysis results, performing performance evaluation, including analyzing the long-term data of the adjustment strategy, evaluating the impact of speed adjustment on driving safety, and generating safety performance evaluation results through continuous monitoring and data comparison.

[0084] Step 6: Reconfigure the adjustment logic and update the control algorithm: Based on the safety performance evaluation results, reconfigure the adjustment logic, update the control algorithm, and generate a vehicle adaptive speed control strategy through real-time road testing and speed adaptability testing under simulated differentiated driving conditions.

[0085] The details are as follows:

[0086] S61. Identify critical response time and sensitivity requirements: Based on the safety performance evaluation results, identify critical response time and sensitivity requirements, refine the adjustment of control parameters, optimize the vehicle driving reaction logic by reconfiguring parameters, and obtain an optimized control logic configuration.

[0087] S62. Execute real-time road test: Use the optimized control logic configuration to execute real-time road test, monitor vehicle response performance under changing speed and traffic conditions, refine vehicle driving adjustments based on collected real-time data, and obtain real-time test adjustment data.

[0088] S63, simulating a speed adaptability test in a differentiated driving environment: based on the real-time test adjustment data, simulating a vehicle adaptability test in a differentiated driving environment, verifying and adjusting the vehicle driving speed, and generating a vehicle adaptive speed control strategy.

[0089] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

[0090] Corresponding to the aforementioned embodiment of the speed determination method based on a speed sensor, the present application also provides an embodiment of a speed determination method device based on a speed sensor.

[0091] Embodiment 2:

[0092] Figure 2 is a schematic diagram of a module of a speed determination method and device based on a speed sensor according to an exemplary embodiment. Figure 2 ,The device includes a speed sensing module, a speed calculating module, a power regulating module, a speed synchronization module and a performance evaluation module.

[0093] Speed ​​perception module: deploy multiple speed sensors at the front and / or rear of the vehicle to monitor the surrounding speed in real time, adjust the sensitivity of the speed sensor according to environmental changes, capture continuous environmental speed data, and generate a speed measurement data table.

[0094] Speed ​​calculation module: Based on the speed environment baseline value, combined with vehicle speed, road type and external traffic conditions, it iteratively optimizes the speed matching point to generate an ideal speed index.

[0095] Power regulation module: According to the ideal speed index, adjust the current and voltage parameters of the vehicle's accelerator and braking system, optimize the distribution of current and voltage through real-time monitoring and adjustment feedback mechanism, and obtain the vehicle control status.

[0096] Speed ​​synchronization module: synchronizes the actual driving speed of the vehicle in real time according to the vehicle control status, monitors the difference with the target speed, adjusts the deviation, and generates speed synchronization feedback.

[0097] Performance evaluation module: Analyze speed synchronization feedback, evaluate the effectiveness of speed adjustment strategy in differentiated driving environments, adjust vehicle driving strategy based on feedback, optimize driving effect and safety, and generate vehicle adaptive speed control strategy.

[0098] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0099] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The device embodiment described above is only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present application scheme. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0100] Embodiment 3:

[0101] Accordingly, the present application also provides an electronic device, including: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned elevator door fault detection and fault occurrence rate prediction method. In addition to the processor and the memory, any device with data processing capability in which the device in the embodiment is located may also include other hardware according to the actual function of the device with data processing capability, which will not be described in detail.

[0102] Accordingly, the present application also provides a computer-readable storage medium on which computer instructions are stored, and when the instructions are executed by a processor, the speed determination method based on the speed sensor as described above is implemented. The computer-readable storage medium can be an internal storage unit of any device with data processing capabilities described in any of the aforementioned embodiments, such as a hard disk or a memory. The computer-readable storage medium can also be an external storage device of a wind turbine, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), an SD card, a flash card (Flash Card), etc. equipped on the device. Furthermore, the computer-readable storage medium can also include both an internal storage unit and an external storage device of any device with data processing capabilities. The computer-readable storage medium is used to store the computer program and other programs and data required by any device with data processing capabilities, and can also be used to temporarily store data that has been output or is to be output.

[0103] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A speed determination method based on a speed sensor, characterized in that: The following steps are involved: Step 1: deploy multiple speed sensors at the front and / or rear of the vehicle, measure the current vehicle speed, adjust measurement parameters to match different road conditions, record and analyze data, and generate a speed environment baseline value; Step 2: According to the speed environment baseline value, combined with vehicle speed, road type and external traffic conditions, iteratively optimize the speed matching point to generate an ideal speed index; Step 3: adjusting the accelerator and brake system of the vehicle according to the ideal speed index through a real-time feedback control system, monitoring the deviation between the actual speed of the vehicle and the predetermined target, and obtaining the speed matching parameter; Step 4: According to the speed matching parameters, capture vehicle dynamic information, analyze the matching effect between the data and the speed matching parameters, adjust the vehicle driving strategy to adapt to the new driving environment, and generate a dynamic adjustment effect; Step 5: Using the dynamic adjustment effect to evaluate the impact of speed adjustment on driving safety, comparing driving scenario feedback under differentiated adjustment strategies, optimizing the adjustment strategy, and forming a safety performance evaluation result; Step 6: Based on the safety performance evaluation results, reconfigure the adjustment logic, update the control algorithm, and generate a vehicle adaptive speed control strategy.

2. The speed determination method based on a speed sensor according to claim 1, characterized in that: The process of generating the speed environment baseline value in step 1 includes: S11, deploying a speed sensor and obtaining a speed measurement data table; S12, extracting speed data at a time point from the speed measurement data table to determine a driving mode under a current environment; S13. Using the data in the driving mode, dynamically adjust the accelerator, brake system and cruise control of the vehicle to generate a speed environment baseline value.

3. The speed determination method based on a speed sensor according to claim 1, characterized in that: The process of generating the ideal speed index in step 2 includes: S21, based on the speed environment baseline value, introducing vehicle speed and external traffic condition parameters, adjusting the initial speed value, and generating a speed adjustment index; S22, performing iterative optimization, adjusting the vehicle speed, and obtaining an optimized matching index; S23. Apply a feedback control algorithm to adjust the vehicle speed to an ideal state and generate an ideal speed index.

4. The speed determination method based on a speed sensor according to claim 1, characterized in that: The process of obtaining the speed matching parameters in step 3 includes: S31, initializing the accelerator and the brake system to obtain a preliminary acceleration adjustment table; S32, monitoring the matching degree between the output of the braking system and the vehicle speed, and obtaining an optimized braking adjustment table; S33. According to the optimized brake adjustment table, adjustment parameters are determined and settings are locked to generate a speed matching parameter table.

5. The speed determination method based on a speed sensor according to claim 1, characterized in that: The process of generating the dynamic adjustment effect in step 4 includes: S41, capturing vehicle dynamic information and obtaining preliminary adjustment data; S42, detecting the real-time impact of environmental changes on vehicle speed and obtaining adjustment strategy data; S43: Using the adjustment strategy data, optimizing the vehicle driving adjustment process, and generating a dynamic adjustment effect.

6. The speed determination method based on a speed sensor according to claim 1, characterized in that: The process of forming the safety performance evaluation result in step 5 includes: S51, capturing the speed-adjusted data to obtain a driving comfort data set; S52, analyzing safety feedback of differentiated speed adjustment strategies in multiple driving scenarios, and obtaining strategy optimization analysis results; S53, using the strategy optimization analysis result to perform performance evaluation and generate a safety performance evaluation result; The process of generating the vehicle adaptive speed control strategy in step 6 includes: S61, identifying key response time and sensitivity requirements, and obtaining an optimized control logic configuration; S62, performing real-time road testing to obtain real-time test adjustment data; S63. Simulate the vehicle adaptability test in a differentiated driving environment, verify and adjust the vehicle driving speed, and generate a vehicle adaptive speed control strategy.

7. The speed determination method based on a speed sensor according to claim 1, characterized in that: The speed environment baseline value includes the lower speed limit, average speed and upper speed limit; the ideal speed index includes the optimal speed value, speed adjustment limit and speed adjustment frequency; the speed matching parameters include output power, acceleration accuracy and feedback adjustment time; the dynamic adjustment effect includes speed response delay, adjustment strategy compatibility and speed matching accuracy; the safety performance evaluation result includes driving comfort improvement rate, driver satisfaction and accident prevention effect; the vehicle adaptive speed control strategy includes environment adaptation algorithm, adjustment logic reaction speed and strategy update cycle.

8. An abnormal feature extraction device for elevator human body induction sensor data, characterized in that: include: Speed ​​perception module, speed calculation module, power regulation module, speed synchronization module and performance evaluation module; Speed ​​perception module: deploy multiple speed sensors at the front and / or rear of the vehicle to monitor the surrounding speed in real time, adjust the sensitivity of the speed sensor according to environmental changes, capture continuous environmental speed data, and generate a speed measurement data table; Speed ​​calculation module: Based on the speed environment baseline value, combined with vehicle speed, road type and external traffic conditions, iteratively optimizes the speed matching point to generate an ideal speed index; Power regulation module: adjusts the current and voltage parameters of the vehicle's accelerator and brake system according to the ideal speed index, optimizes the distribution of current and voltage through real-time monitoring and adjustment feedback mechanism, and obtains the vehicle control status; Speed ​​synchronization module: synchronizes the actual driving speed of the vehicle in real time according to the vehicle control status, monitors the difference with the target speed, adjusts the deviation, and generates speed synchronization feedback; Performance evaluation module: Analyze speed synchronization feedback, evaluate the effectiveness of speed adjustment strategy in differentiated driving environments, adjust vehicle driving strategy based on feedback, optimize driving effect and safety, and generate vehicle adaptive speed control strategy.

9. An electronic device, characterized in that: include: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the instruction is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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