Integrated automobile braking control system and method

Abstract

The present invention provides an integrated automobile braking control system and method, belonging to the field of integrated control technology; the modules include: a data acquisition module: based on a vehicle parameter sensor, obtaining vehicle parameter monitoring data; a data processing module: pre-processing the vehicle parameter monitoring data, and obtaining standard parameter monitoring data after standardizing the vehicle parameter monitoring data according to the parameter type; a data analysis module: based on an automobile parameter model, analyzing the standard parameter monitoring data of any parameter type, and obtaining the braking analysis result of the parameter type; a braking strategy module: formulating the braking control strategy of the vehicle according to the braking analysis result and combining the basic parameters of the vehicle; an execution module: splitting the braking control strategy, allocating the split unit strategies to the corresponding equipment, detecting the strategy execution results and feeding back. The efficiency of automobile braking control is improved.

Description

Technical Field

[0001] The present invention relates to the field of integrated control technology, and in particular to an integrated automobile braking control system and method. Background Art

[0002] At present, with the continuous development of science and technology, the technology of automobile braking systems is becoming more and more advanced. Now it is usually used to directly detect the parameters of automobile operation, and then use the system to directly control it. However, errors may occur in system processing, which may cause the system function to not function normally, affecting braking performance and driving safety.

[0003] Therefore, the present invention proposes an integrated automobile braking control system and method. Summary of the invention

[0004] The present invention provides an integrated automobile braking control system and method, which is used to obtain the operating parameters of the automobile by configuring sensors on the automobile, analyze the automobile braking state based on the automobile parameter model, obtain the automobile braking strategy of the automobile, and execute and feedback the automobile braking result.

[0005] In one aspect, the present invention provides an integrated automobile braking control system, comprising:

[0006] Data acquisition module: obtains vehicle parameter monitoring data based on vehicle parameter sensors;

[0007] Data processing module: pre-processes the vehicle parameter monitoring data, and standardizes the vehicle parameter monitoring data according to the parameter type to obtain the standard parameter monitoring data;

[0008] Data analysis module: based on the automobile parameter model, analyzes the standard parameter monitoring data of any parameter type to obtain the braking analysis results of the parameter type;

[0009] Braking strategy module: formulates the braking control strategy of the vehicle according to the braking analysis results and the basic parameters of the vehicle;

[0010] Execution module: splits the braking control strategy, distributes the split unit strategies to the corresponding devices, detects the strategy execution results and provides feedback.

[0011] On the other hand, the data acquisition module comprises:

[0012] Vehicle basic parameter unit: obtains basic information of the vehicle according to the design specification of the vehicle, and presets basic parameters of the vehicle based on the basic information;

[0013] Sensor matching unit: obtains vehicle parameter sensors of any type of basic parameters according to the vehicle's basic parameter type-sensor type mapping table.

[0014] On the other hand, the data acquisition module further includes:

[0015] Sensor location unit: Determine the configuration location of any type of vehicle parameter sensor according to the sensor installation instructions;

[0016] Sensor configuration unit: add a unique first mark to the configuration position of the vehicle parameter sensor, add a unique second mark to the vehicle parameter sensor, install all vehicle parameter sensors in a corresponding manner according to the unique relationship between the vehicle parameter sensor configuration position and the vehicle parameter sensor, and collect vehicle parameter monitoring data in real time.

[0017] On the other hand, the data processing module includes:

[0018] Preprocessing unit: collects raw data based on the vehicle parameter sensor during vehicle operation, performs unit unification processing on the raw data according to the parameter type to obtain unit standard data; and processes the unit standard data according to a preset time interval to obtain time-standardized standard parameter monitoring data;

[0019] Data storage unit: Process the standard parameter monitoring data according to the database standard format to obtain a SQL insert statement, import the SQL insert statement into the first database for storage, and the SQL primary key is the standard parameter monitoring data ID.

[0020] On the other hand, the data processing module includes:

[0021] Data analysis unit: extracting vehicle parameter monitoring data based on the first database, processing the vehicle parameter monitoring data based on the automobile parameter model, and calculating the deviation from the preset standard threshold;

[0022] ;in, represents the deviation degree of the jth vehicle parameter monitoring data, n represents that the vehicle parameter monitoring data has a total of n time nodes, represents the parameter value of the jth vehicle parameter monitoring data at the i-th time node, represents the preset weight of the vehicle parameter monitoring data in vehicle braking, represents the preset standard threshold value of the vehicle parameter monitoring data, represents the logarithmic function with base 10;

[0023] Braking analysis unit: Based on the deviation between the vehicle parameter monitoring data and the preset standard threshold, the contribution of different vehicle parameter monitoring data to vehicle braking is used to comprehensively evaluate the braking score of the current vehicle in the preset time interval:

[0024] ;in, Indicates the braking score, represents the contribution of the jth parameter data, Indicates a total of Vehicle parameter monitoring data, R( ) represents the loss coefficient;

[0025] Finally, the braking analysis results of the vehicle are obtained, including the braking score and the degree of deviation of each vehicle parameter monitoring data.

[0026] On the other hand, the data processing module includes:

[0027] Target setting unit: analyzing the requirements of the vehicle braking system according to the basic information of the vehicle, and setting the braking target of the vehicle according to the requirements;

[0028] Braking strategy unit: Based on the braking analysis results, design a control algorithm for monitoring data of different vehicle parameters of the vehicle, and predict the prediction results after overall braking adjustment.

[0029] On the other hand, the data processing module includes:

[0030] Split unit: According to the design of the overall braking control strategy, analyze the various parts of the braking control strategy and identify the unit strategies that can be split;

[0031] Matching unit: Matches the corresponding device according to the unit strategy, generates the control instruction of the device based on the function of the device, and the execution order of each unit control instruction is determined according to the control logic relationship between the devices to generate the overall control instruction of the vehicle;

[0032] Feedback unit: The vehicle control system executes the overall control command, detects the data changes of each vehicle parameter monitoring data after the command is completed, and evaluates whether the braking result is within the expected range. If it exceeds the expected range, the vehicle parameter monitoring data that exceeds the expected range will be fed back to the vehicle control system.

[0033] In another aspect, the present invention provides an integrated automobile braking control method, comprising:

[0034] Step 1: Obtain vehicle parameter monitoring data based on vehicle parameter sensors;

[0035] Step 2: Preprocess the vehicle parameter monitoring data and obtain standard parameter monitoring data after standardization according to parameter type;

[0036] Step 3: Based on the automobile parameter model, analyze the standard parameter monitoring data of any parameter type to obtain the braking analysis result of the parameter type;

[0037] Step 4: Formulate a braking control strategy for the vehicle based on the braking analysis results and the basic parameters of the vehicle;

[0038] Step 5: Split the braking control strategy, assign the split unit strategy to the corresponding equipment, detect the strategy execution results and provide feedback.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention provides an integrated automobile braking control system and method, which is used to obtain the operating parameters of the automobile by configuring sensors on the automobile, analyze the automobile braking state based on the automobile parameter model, obtain the automobile braking strategy of the automobile, and execute and feedback the automobile braking result. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are 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.

[0042] Figure 1 It is a structural schematic diagram of an integrated automobile braking control system provided by an embodiment of the present invention;

[0043] Figure 2 It is a flow chart of an integrated automobile braking control method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0045] Embodiment 1:

[0046] like Figure 1 As shown, an integrated automobile braking control system provided by an embodiment of the present invention includes:

[0047] Data acquisition module: obtains vehicle parameter monitoring data based on vehicle parameter sensors;

[0048] Data processing module: pre-processes the vehicle parameter monitoring data, and standardizes the vehicle parameter monitoring data according to the parameter type to obtain the standard parameter monitoring data;

[0049] Data analysis module: based on the automobile parameter model, analyzes the standard parameter monitoring data of any parameter type to obtain the braking analysis results of the parameter type;

[0050] Braking strategy module: formulates the braking control strategy of the vehicle according to the braking analysis results and the basic parameters of the vehicle;

[0051] Execution module: splits the braking control strategy, distributes the split unit strategies to the corresponding devices, detects the strategy execution results and provides feedback.

[0052] In this embodiment, the vehicle parameter sensor is a variety of sensors used to monitor and collect vehicle operating status in real time, including: speed, brake pressure, wheel speed, engine temperature, throttle position, etc.

[0053] In this embodiment, the vehicle parameter monitoring data is information about the vehicle operating status collected by the vehicle parameter sensor, including indicators such as the vehicle's speed, brake pressure, engine temperature, and wheel speed.

[0054] In this embodiment, preprocessing is the process of performing preliminary processing on raw data, including steps such as cleaning data, removing noise, and filling missing values.

[0055] In this embodiment, the parameter type refers to different types of vehicle operation data indicators, such as speed, brake pressure, engine temperature, wheel speed, etc.

[0056] In this embodiment, standardization is a method of processing data, including steps such as scaling data and unit variance.

[0057] In this embodiment, the standard parameter monitoring data refers to vehicle parameter monitoring data that has been standardized.

[0058] In this embodiment, the vehicle parameter model is a mathematical model used to analyze and predict vehicle performance based on the physical characteristics and operating parameters of the vehicle, such as speed, acceleration, characteristics of the braking system, etc.

[0059] In this embodiment, the braking analysis result is a conclusion obtained after analyzing the standardized vehicle parameter data based on the vehicle parameter model, including evaluations such as braking distance, braking response time, tire grip, etc.

[0060] In this embodiment, basic parameters refer to basic characteristics and configuration parameters of the vehicle used as a reference when formulating and optimizing the braking control strategy, including: vehicle type, weight, tire characteristics, power system characteristics, etc.

[0061] In this embodiment, the braking control strategy refers to optimizing and controlling the operation of the vehicle's braking system through algorithms and models based on the real-time status and basic parameters of the vehicle.

[0062] In this embodiment, the unit strategy refers to breaking down the overall strategy into smaller, specific sub-strategies in the braking control strategy.

[0063] In this embodiment, the device refers to the actual hardware components on the vehicle, such as brakes, electronic control units, EBD modules, automatic emergency braking systems, etc.

[0064] In this embodiment, the strategy execution result refers to the effect and feedback generated by the actual execution of the braking control strategy, including the braking performance, stability and response of the vehicle.

[0065] In this embodiment, feedback refers to information about the effect of the strategy received by the system after the braking control strategy is actually executed.

[0066] The working principle and beneficial effects of the above technical solution are: through real-time data collection, standardized processing and analysis, an optimized braking strategy is formulated, and execution and feedback are provided to ensure accurate, efficient and safe vehicle braking control.

[0067] Embodiment 2:

[0068] Based on the above embodiment 1, the data acquisition module includes:

[0069] Vehicle basic parameter unit: obtains basic information of the vehicle according to the design specification of the vehicle, and presets basic parameters of the vehicle based on the basic information;

[0070] Sensor matching unit: obtains vehicle parameter sensors of any type of basic parameters according to the vehicle's basic parameter type-sensor type mapping table.

[0071] In this embodiment, the design specification refers to a set of detailed, standardized documents and guidelines used to define and guide the design and functional requirements of various aspects of the vehicle, including: vehicle structure and size, power system, and braking system.

[0072] In this embodiment, basic information refers to the core data and parameters required for vehicle design and operation, including: vehicle type, size, engine specifications, transmission system, etc.

[0073] In this embodiment, basic parameters refer to key data and performance indicators that are defined based on vehicle design specifications and describe various aspects of the vehicle, including vehicle speed, throttle opening, brake pressure, etc.

[0074] In this embodiment, the basic parameter type-sensor type mapping table is a table representing the mapping relationship between the basic parameter type and the sensor type.

[0075] The working principle and beneficial effects of the above technical solution are: by obtaining the vehicle design specifications to preset basic parameters, and matching appropriate sensors according to the mapping table, ensuring the precise correspondence between sensors and parameters, and improving data collection accuracy and system integration efficiency.

[0076] Embodiment 3:

[0077] Based on the above embodiment 2, the data acquisition module further includes:

[0078] Sensor location unit: Determine the configuration location of any type of vehicle parameter sensor according to the sensor installation instructions;

[0079] Sensor configuration unit: add a unique first mark to the configuration position of the vehicle parameter sensor, add a unique second mark to the vehicle parameter sensor, install all vehicle parameter sensors in a corresponding manner according to the unique relationship between the vehicle parameter sensor configuration position and the vehicle parameter sensor, and collect vehicle parameter monitoring data in real time.

[0080] In this embodiment, the installation instructions are documents used to guide the correct installation and configuration of sensors or other devices on the vehicle.

[0081] In this embodiment, the configuration location refers to a specific installation point of the sensor on the vehicle.

[0082] In this embodiment, the first mark is a unique identifier used to identify the configuration location of the sensor.

[0083] In this embodiment, the second mark is a unique identifier for identifying the vehicle parameter sensor.

[0084] The working principle and beneficial effects of the above technical solution are: by determining the sensor configuration position and adding a unique mark, various sensors are accurately installed and vehicle parameter data is collected in real time. This method ensures accurate positioning and effective monitoring of sensors, improves data quality and system management efficiency.

[0085] Embodiment 4:

[0086] Based on the above embodiment 1, the data processing module includes:

[0087] Preprocessing unit: collects raw data based on the vehicle parameter sensor during vehicle operation, performs unit unification processing on the raw data according to the parameter type to obtain unit standard data; and processes the unit standard data according to a preset time interval to obtain time-standardized standard parameter monitoring data;

[0088] Data storage unit: Process the standard parameter monitoring data according to the database standard format to obtain a SQL insert statement, import the SQL insert statement into the first database for storage, and the SQL primary key is the standard parameter monitoring data ID.

[0089] In this embodiment, unit standardization refers to converting the raw data collected by the vehicle parameter sensor into a unified unit standard.

[0090] In this embodiment, the preset time interval refers to a time period set in advance during the data processing process.

[0091] In this embodiment, the unit standard data is data that has been processed to comply with a unified unit standard.

[0092] In this embodiment, the standard parameter monitoring data is data that has been processed by unit unification and time interval processing.

[0093] In this embodiment, the SQL insert statement is a data format used to insert data into a database table.

[0094] In this embodiment, the first database refers to a database system for storing processed standard parameter monitoring data.

[0095] In this embodiment, the SQL primary key refers to a column used to uniquely identify each row of data in a table.

[0096] In this embodiment, the standard parameter monitoring data ID is used to uniquely identify each standard parameter monitoring data record.

[0097] The working principle and beneficial effects of the above technical solution are: vehicle parameter data is processed by unit unification and time standardization to ensure data consistency. The standardized data generates SQL insert statements and is stored in the database, which improves the efficiency of data management and the convenience of retrieval.

[0098] Embodiment 5:

[0099] Based on the above embodiment 4, the data processing module includes:

[0100] Data analysis unit: extracting vehicle parameter monitoring data based on the first database, processing the vehicle parameter monitoring data based on the automobile parameter model, and calculating the deviation from the preset standard threshold;

[0101] ;in, represents the deviation degree of the jth vehicle parameter monitoring data, n represents that the vehicle parameter monitoring data has a total of n time nodes, represents the parameter value of the jth vehicle parameter monitoring data at the i-th time node, represents the preset weight of the vehicle parameter monitoring data in vehicle braking, represents the preset standard threshold value of the vehicle parameter monitoring data, represents the logarithmic function with base 10;

[0102] Braking analysis unit: Based on the deviation between the vehicle parameter monitoring data and the preset standard threshold, the contribution of different vehicle parameter monitoring data to vehicle braking is used to comprehensively evaluate the braking score of the current vehicle in the preset time interval:

[0103] ;in, Indicates the braking score, represents the contribution of the jth parameter data, Indicates a total of Vehicle parameter monitoring data, R( ) represents the loss coefficient;

[0104] Finally, the braking analysis results of the vehicle are obtained, including the braking score and the degree of deviation of each vehicle parameter monitoring data.

[0105] In this embodiment, the preset standard threshold is a reference value for comparing vehicle parameter monitoring data.

[0106] In this embodiment, the degree of deviation refers to the difference between the actual monitoring data and the preset standard threshold.

[0107] In this embodiment, the contribution degree refers to a quantitative measure of the influence or effect of different vehicle parameter monitoring data on the overall vehicle braking score.

[0108] In this embodiment, the braking score is a comprehensive evaluation of the performance of the vehicle's braking system, and is calculated based on the degree of deviation between the vehicle parameter monitoring data and a preset standard threshold.

[0109] The working principle and beneficial effects of the above technical solution are: extracting vehicle parameter data, calculating its deviation from the standard threshold, analyzing the contribution of each parameter to braking, and obtaining a braking score. It provides accurate braking analysis, which helps to optimize vehicle performance and improve safety.

[0110] Embodiment 6:

[0111] Based on the above embodiment 1, the data processing module includes:

[0112] Target setting unit: analyzing the requirements of the vehicle braking system according to the basic information of the vehicle, and setting the braking target of the vehicle according to the requirements;

[0113] Braking strategy unit: Based on the braking analysis results, design a control algorithm for monitoring data of different vehicle parameters of the vehicle, and predict the prediction results after overall braking adjustment.

[0114] In this embodiment, the demand refers to the basic information of the vehicle and the specific conditions of the braking system, such as: braking performance requirements, safety standards, and environmental factors.

[0115] In this embodiment, the braking target refers to the expected braking performance standard set based on the basic information and specific needs of the vehicle, including: braking distance, braking time, braking stability, etc.

[0116] In this embodiment, the control algorithm is a mathematical model used to process input data and generate corresponding control signals to adjust the operation of the braking system according to the real-time state of the vehicle and the target braking performance.

[0117] In this embodiment, the prediction result is the expected performance obtained by analyzing and simulating the impact of different braking strategies on vehicle performance through the control algorithm.

[0118] The working principle and beneficial effect of the above technical solution are: the braking target is set according to the basic information of the vehicle, and the control algorithm is designed based on the analysis results to predict the braking adjustment effect. This method ensures accurate targets, optimizes braking strategies, and improves system performance and safety.

[0119] Embodiment 7:

[0120] Based on the above embodiment 6, the data processing module includes:

[0121] Split unit: According to the design of the overall braking control strategy, analyze the various parts of the braking control strategy and identify the unit strategies that can be split;

[0122] Matching unit: Matches the corresponding device according to the unit strategy, generates the control instruction of the device based on the function of the device, and the execution order of each unit control instruction is determined according to the control logic relationship between the devices to generate the overall control instruction of the vehicle;

[0123] Feedback unit: The vehicle control system executes the overall control command, detects the data changes of each vehicle parameter monitoring data after the command is completed, and evaluates whether the braking result is within the expected range. If it exceeds the expected range, the vehicle parameter monitoring data that exceeds the expected range will be fed back to the vehicle control system.

[0124] In this embodiment, the control instruction is a specific operation instruction issued to each device or component in the vehicle braking system. For example, the control instruction may include adjusting the brake pressure, changing the braking mode, or adjusting the setting of the vehicle stability system.

[0125] In this embodiment, the control logic relationship refers to the sequence and dependency relationship between devices and instructions.

[0126] In this embodiment, the total control instruction is a comprehensive instruction set of all control instructions generated according to the split unit strategy and the matching unit.

[0127] In this embodiment, the expected range refers to the target range that various performance indicators of the vehicle should reach after the braking control strategy is implemented, including: braking performance, system response events, and equipment status.

[0128] In this embodiment, the vehicle control system is a comprehensive electronic system for managing and regulating various functions and performances of the vehicle.

[0129] The working principle and beneficial effects of the above technical solution are: by splitting the braking control strategy and matching the equipment to generate the overall control command, and monitoring the vehicle parameters after execution to evaluate the braking effect. The feedback mechanism ensures the accuracy of command execution and system stability, effectively improving braking performance and safety.

[0130] Embodiment 8:

[0131] like Figure 2 As shown, an integrated automobile braking control method provided by an embodiment of the present invention includes:

[0132] Step 1: Obtain vehicle parameter monitoring data based on vehicle parameter sensors;

[0133] Step 2: Preprocess the vehicle parameter monitoring data and obtain standard parameter monitoring data after standardization according to parameter type;

[0134] Step 3: Based on the automobile parameter model, analyze the standard parameter monitoring data of any parameter type to obtain the braking analysis result of the parameter type;

[0135] Step 4: Formulate a braking control strategy for the vehicle based on the braking analysis results and the basic parameters of the vehicle;

[0136] Step 5: Split the braking control strategy, assign the split unit strategy to the corresponding equipment, detect the strategy execution results and provide feedback.

[0137] The working principle and beneficial effects of the above technical solution are: through real-time data collection, standardized processing and analysis, an optimized braking strategy is formulated, and execution and feedback are provided to ensure accurate, efficient and safe vehicle braking control.

[0138] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An integrated automobile braking control system, characterized in that: include: Data acquisition module: obtains vehicle parameter monitoring data based on vehicle parameter sensors; Data processing module: pre-processes the vehicle parameter monitoring data, and standardizes the vehicle parameter monitoring data according to the parameter type to obtain the standard parameter monitoring data; Data analysis module: based on the automobile parameter model, analyzes the standard parameter monitoring data of any parameter type to obtain the braking analysis results of the parameter type; Braking strategy module: formulates the braking control strategy of the vehicle according to the braking analysis results and the basic parameters of the vehicle; Execution module: splits the braking control strategy, distributes the split unit strategies to the corresponding devices, detects the strategy execution results and provides feedback; Wherein, the data processing module includes: Data analysis unit: extracting vehicle parameter monitoring data based on the first database, processing the vehicle parameter monitoring data based on the automobile parameter model, and calculating the deviation from the preset standard threshold; ;in, represents the deviation degree of the jth vehicle parameter monitoring data, n represents that the vehicle parameter monitoring data has a total of n time nodes, represents the parameter value of the jth vehicle parameter monitoring data at the i-th time node, represents the preset weight of the vehicle parameter monitoring data in vehicle braking, represents the preset standard threshold value of the vehicle parameter monitoring data, represents the logarithmic function with base 10; Braking analysis unit: Based on the deviation between the vehicle parameter monitoring data and the preset standard threshold, the contribution of different vehicle parameter monitoring data to vehicle braking is used to comprehensively evaluate the braking score of the current vehicle in the preset time interval: ;in, Indicates the braking score, represents the contribution of the jth parameter data, Indicates a total of Vehicle parameter monitoring data, R( ) represents the loss coefficient; Finally, the braking analysis result of the vehicle is obtained, including the braking score and the degree of deviation of each vehicle parameter monitoring data.

2. The integrated automobile brake control system according to claim 1, characterized in that: The data acquisition module comprises: Vehicle basic parameter unit: obtains basic information of the vehicle according to the design specification of the vehicle, and presets basic parameters of the vehicle based on the basic information; Sensor matching unit: obtains vehicle parameter sensors of any type of basic parameters according to the vehicle's basic parameter type-sensor type mapping table.

3. The integrated automobile brake control system according to claim 2, characterized in that: The data acquisition module further includes: Sensor location unit: Determine the configuration location of any type of vehicle parameter sensor according to the sensor installation instructions; Sensor configuration unit: add a unique first mark to the configuration position of the vehicle parameter sensor, add a unique second mark to the vehicle parameter sensor, install all vehicle parameter sensors in a corresponding manner according to the unique relationship between the vehicle parameter sensor configuration position and the vehicle parameter sensor, and collect vehicle parameter monitoring data in real time.

4. The integrated automobile brake control system according to claim 1, characterized in that: The data processing module comprises: Preprocessing unit: collects raw data based on the vehicle parameter sensor during vehicle operation, performs unit unification processing on the raw data according to the parameter type to obtain unit standard data; and processes the unit standard data according to a preset time interval to obtain time-standardized standard parameter monitoring data; Data storage unit: Process the standard parameter monitoring data according to the database standard format to obtain a SQL insert statement, import the SQL insert statement into the first database for storage, and the SQL primary key is the standard parameter monitoring data ID.

5. The integrated automobile brake control system according to claim 1, characterized in that: The data processing module comprises: Target setting unit: analyzing the requirements of the vehicle braking system according to the basic information of the vehicle, and setting the braking target of the vehicle according to the requirements; Braking strategy unit: Based on the braking analysis results, design a control algorithm for monitoring data of different vehicle parameters of the vehicle, and predict the prediction results after overall braking adjustment.

6. The integrated automobile brake control system according to claim 5, characterized in that: The data processing module comprises: Split unit: According to the design of the overall braking control strategy, analyze the various parts of the braking control strategy and identify the unit strategies that can be split; Matching unit: Matches the corresponding device according to the unit strategy, generates the control instruction of the device based on the function of the device, and the execution order of each unit control instruction is determined according to the control logic relationship between the devices to generate the overall control instruction of the vehicle; Feedback unit: The vehicle control system executes the overall control command, detects the data changes of each vehicle parameter monitoring data after the command is completed, and evaluates whether the braking result is within the expected range. If it exceeds the expected range, the vehicle parameter monitoring data that exceeds the expected range will be fed back to the vehicle control system.

7. An integrated automobile braking control method, characterized in that: include: Step 1: Obtain vehicle parameter monitoring data based on vehicle parameter sensors; Step 2: Preprocess the vehicle parameter monitoring data and obtain standard parameter monitoring data after standardization according to parameter type; Step 3: Based on the automobile parameter model, analyze the standard parameter monitoring data of any parameter type to obtain the braking analysis result of the parameter type; Step 4: Formulate a braking control strategy for the vehicle based on the braking analysis results and the basic parameters of the vehicle; Step 5: Split the braking control strategy, assign the split unit strategy to the corresponding equipment, detect the strategy execution results and provide feedback; Wherein, step 2 includes: Extracting vehicle parameter monitoring data based on the first database, processing the vehicle parameter monitoring data based on the automobile parameter model, and calculating the deviation from the preset standard threshold; ;in, represents the deviation degree of the jth vehicle parameter monitoring data, n represents that the vehicle parameter monitoring data has a total of n time nodes, represents the parameter value of the jth vehicle parameter monitoring data at the i-th time node, represents the preset weight of the vehicle parameter monitoring data in vehicle braking, represents the preset standard threshold value of the vehicle parameter monitoring data, represents the logarithmic function with base 10; Based on the deviation between the vehicle parameter monitoring data and the preset standard threshold, and using the contribution of different vehicle parameter monitoring data to vehicle braking, the braking score for the preset time interval of the current vehicle is as follows: ;in, Indicates the braking score, represents the contribution of the jth parameter data, Indicates a total of Vehicle parameter monitoring data, R( ) represents the loss coefficient; Finally, the braking analysis results of the vehicle are obtained, including the braking score and the degree of deviation of each vehicle parameter monitoring data.

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