A real-time monitoring and early warning system for an automobile cabin environment
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 深圳市顺禾电器科技有限公司
- Filing Date
- 2024-04-15
- Publication Date
- 2026-08-07
AI Technical Summary
轿车拥有较小的车厢,因此现有技术也很容易满足车厢环境的监测需求
本发明通过采集终端的设置,能够对汽车车厢内的环境信息进行采集,再通过分析中心对环境信息数据进行综合的分析,并根据综合分析确立反馈调节策略,而预警模块能够及时的根据反馈调节策略发出相应的预警信号,此外控制执行端能够根据反馈调节策略向汽车空调系统发出相应的调节指令。因此在乘务人员不方便走动的大型汽车车厢中,本发明提供的系统主要针对于乘务人员不方便走动的大型汽车车厢,可以在不需要人工干预的情况下,对车厢内环境进行监测,并相应的做出及时预警和反馈调节。
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Figure CN118046722B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of vehicle safety early warning technology, specifically to a real-time monitoring and early warning system for the automotive cabin environment. Background Technology
[0002] A train carriage is the part of a vehicle such as a train or automobile used to carry people or goods. It is one of the main components of a transportation vehicle and plays a vital role in passenger comfort and safety. A train carriage typically consists of several parts, including the frame, floor, wall panels, doors and windows, and seats. The frame is the skeleton of the carriage, usually made of steel, and supports the entire structure. The floor and wall panels are the interior and exterior finishes of the carriage, usually constructed of multiple layers of materials, such as steel plates, wood panels, and insulation materials, to ensure the carriage's strength and thermal insulation performance. Doors, windows, and skylights provide ventilation and lighting, and also serve as passageways for passengers. Seats are one of the most important parts of the carriage; they should be ergonomically designed to provide passengers with good support and comfort.
[0003] The quality of the carriage environment has a significant impact on passenger comfort, mood, and health. Carriage environment monitoring refers to the real-time monitoring and assessment of the interior environment of a train carriage. It is a crucial means of ensuring passenger comfort and health, and also a key direction for the intelligent and green development of the transportation sector. Trains typically have long and numerous carriages. Strict control of prohibited items at train stations, combined with carriage monitoring systems and staff conducting checks within each carriage, allows for timely acquisition and feedback of carriage environmental information. Cars have smaller carriages, so existing technology can easily meet the monitoring needs. However, for buses such as minibuses and coaches with larger carriages, the large volume, numerous and diverse passengers, and the unique circumstances of the vehicle's movement make environmental monitoring in bus carriages more challenging. Summary of the Invention
[0004] The purpose of this invention is to provide a real-time monitoring and early warning system for the automotive cabin environment, thereby solving the above-mentioned technical problems: The objective of this invention can be achieved through the following technical solutions: A real-time monitoring and early warning system for the vehicle cabin environment includes: a data acquisition terminal for collecting environmental information data inside the vehicle cabin, the data acquisition terminal including an image monitoring module and an air parameter acquisition module; an analysis center for comprehensively analyzing the environmental information data and establishing a feedback adjustment strategy based on the comprehensive analysis; an early warning module for generating corresponding early warning information according to the feedback adjustment strategy, including speakers installed at the passenger and driver ends; and a control execution terminal for establishing a communication relationship between the analysis center and the vehicle's air conditioning system, and issuing corresponding adjustment commands to the vehicle's air conditioning system according to the feedback adjustment strategy. This technical solution provides the main components of a real-time monitoring and early warning system for the vehicle cabin environment. Through the data acquisition terminal, environmental information inside the vehicle cabin can be collected; the analysis center then comprehensively analyzes the environmental information data and establishes a feedback adjustment strategy based on the comprehensive analysis; the early warning module can promptly issue corresponding early warning signals according to the feedback adjustment strategy; and the control execution terminal can issue corresponding adjustment commands to the vehicle's air conditioning system according to the feedback adjustment strategy. Therefore, in large bus compartments where it is inconvenient for crew members to move around, this system can monitor the environment inside the compartment without human intervention and make timely warnings and feedback adjustments accordingly.
[0005] As a further technical solution, the air parameter acquisition module includes: several temperature sensors, distributed throughout the various corners of the vehicle compartment, for collecting temperature data inside the vehicle compartment; and a CO2 concentration sensor, located at the vehicle compartment's exhaust vents, for collecting CO2 concentration data inside the vehicle compartment. This technical solution provides the specific details of the air parameter acquisition module. Several temperature sensors are distributed throughout the various corners of the vehicle compartment, and the average value measured by each temperature sensor is taken as the average temperature inside the vehicle compartment. The CO2 concentration sensor, located at the vehicle compartment's exhaust vents, provides a more comprehensive reflection of the overall CO2 concentration level inside the vehicle compartment.
[0006] As a further technical solution, the image monitoring module includes: The camera includes a built-in camera and an external camera; several built-in cameras are evenly arranged on the top of the car body to collect internal image information data of the car body; the external camera is set on the top of the car rearview mirror to collect external image information data of the car body. The recognition unit is used to import the internal image information data and the external image information data into a trained image recognition model, and output the recognized content indicating the status information of passengers in each row. The above technical solution provides the specific content of the image monitoring module. The camera includes two types: a built-in camera and an external camera. The built-in camera can be installed on the upper part of the rearview mirror without obstructing the mirror surface or the driver's field of vision, and is used to collect external image information of the car's interior, specifically showing the limb status of passengers near the windows.
[0007] As a further technical solution, the process of comprehensively analyzing environmental information data includes: S1. Continuously collect temperature data inside the car compartment; S2. The analysis center monitors and analyzes temperature data to determine whether there are abnormal changes in the temperature inside the car. S3. If the temperature inside the car cabin changes abnormally, the built-in camera will collect internal image data of the car cabin.
[0008] As a further technical solution, the process of comprehensively analyzing environmental information data also includes: S4. The recognition unit identifies and analyzes the internal image information data of the car compartment to determine the opening and closing status of each row of windows in the car compartment. S411. If all the windows in the car are closed, the CO2 concentration data inside the car will be evaluated and analyzed by the analysis center. S412. The early warning module establishes an early warning strategy based on the results of the evaluation and analysis. S413. The control execution end issues the corresponding air conditioning adjustment command based on the results of the evaluation and analysis.
[0009] As a further technical solution, the process of comprehensively analyzing environmental information data also includes: S421. If there are open windows in the car compartment, external image information data will be continuously collected through an external camera. S422. The external image information data is identified and analyzed by the recognition unit, and it is determined whether the passenger at the window opening has any limbs sticking out of the window. S423. If a passenger is found to be extending their limbs out of the window, a danger warning signal shall be issued to the corresponding passenger through the passenger-side loudspeaker.
[0010] As a further technical solution, the process of monitoring and analyzing temperature data includes: Through formula Calculate and obtain parameters of temperature change in the carriage ; in, These are the left and right endpoints of the preset unit study time period; This represents the average temperature change inside the car cabin over time. This is a pre-defined standard curve for temperature changes; This is the preset adjustment coefficient; Parameters of temperature change in the carriage With preset threshold Compare: like If so, the temperature inside the car is considered to be within normal range. like If so, the temperature inside the car compartment is determined to be abnormal.
[0011] As a further technical solution, the process of evaluating and analyzing CO2 concentration data inside a car compartment includes: Through formula Calculate and obtain the fire risk coefficient ; in, These are preset weighting coefficients; The measured change in CO2 concentration inside a car compartment over time; The total number of people inside the car; This is a preset conversion function; This is a preset proportional coefficient; This is a preset standard value; Fire risk coefficient With preset threshold Comparison: like If so, the speaker on the driver's side will send a warning signal to the driver; like Then, the corresponding air conditioning temperature adjustment command will be issued.
[0012] The beneficial effects of this invention are: This invention, through the setting of a data acquisition terminal, can collect environmental information inside a vehicle compartment. The analysis center then comprehensively analyzes this data and establishes a feedback adjustment strategy based on the analysis. The early warning module can promptly issue corresponding warning signals based on the feedback adjustment strategy. Furthermore, the control execution terminal can issue corresponding adjustment commands to the vehicle's air conditioning system based on the feedback adjustment strategy. Therefore, in large vehicle compartments where passengers have limited mobility, the system provided by this invention is primarily designed for such compartments. It can monitor the interior environment of the vehicle compartment without human intervention and provide timely warnings and feedback adjustments. Attached Figure Description
[0013] The invention will now be further described with reference to the accompanying drawings.
[0014] Figure 1 This is a summary and block diagram of the real-time monitoring and early warning system for the vehicle cabin environment of the present invention; Detailed Implementation
[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0016] Please see Figure 1 As shown, this invention is a real-time monitoring and early warning system for the automotive cabin environment, comprising: a data acquisition terminal for collecting environmental information data inside the automotive cabin, the data acquisition terminal including an image monitoring module and an air parameter acquisition module; an analysis center for comprehensively analyzing the environmental information data and establishing a feedback adjustment strategy based on the comprehensive analysis; an early warning module for issuing corresponding early warning prompts based on the feedback adjustment strategy, including speakers installed at the passenger end and the driver end; and a control execution end for establishing a communication relationship between the analysis center and the automotive air conditioning system, and issuing corresponding adjustment commands to the automotive air conditioning system based on the feedback adjustment strategy.
[0017] Through the above technical solution, this embodiment provides the main components of a real-time monitoring and early warning system for the vehicle cabin environment. By setting up a data acquisition terminal, environmental information inside the vehicle cabin can be collected. The analysis center then comprehensively analyzes the environmental data and establishes a feedback adjustment strategy based on the comprehensive analysis. The early warning module can promptly issue corresponding early warning signals based on the feedback adjustment strategy. Furthermore, the control execution terminal can issue corresponding adjustment commands to the vehicle's air conditioning system based on the feedback adjustment strategy. Therefore, in large vehicle cabins where passengers have limited mobility, this system can monitor the cabin environment and provide timely early warnings and feedback adjustments without human intervention.
[0018] The air parameter acquisition module includes: Several temperature sensors are installed in various corners of the car compartment to collect temperature data inside the car. A CO2 concentration sensor is installed at the exhaust vent of a car to collect CO2 concentration data inside the car.
[0019] Through the above technical solution, this embodiment provides the specific details of the air parameter acquisition module. Several temperature sensors are installed, distributed throughout the various corners of the car compartment. During measurement, the average value measured by each temperature sensor is taken as the average temperature inside the car compartment. The CO2 concentration sensor is located at the car compartment's exhaust vents, and its measurement value can more comprehensively reflect the overall CO2 concentration level inside the car compartment.
[0020] The image monitoring module includes: The camera includes a built-in camera and an external camera; several built-in cameras are evenly arranged on the top of the car body to collect internal image information data of the car body; the external camera is set on the top of the car rearview mirror to collect external image information data of the car body. The recognition unit is used to import the internal image information data and the external image information data into the trained image recognition model and output the recognition content to indicate the status information of passengers in each row.
[0021] Through the above technical solution, this embodiment provides the specific content of the image monitoring module. The camera includes two types: a built-in camera and an external camera. The built-in camera can be installed on the upper part of the car rearview mirror without obstructing the mirror surface and the driver's field of vision. It is used to collect external image information of the car cabin, which specifically presents the limb state of the passenger by the window in the car cabin.
[0022] The process of comprehensively analyzing environmental information data includes: S1. Continuously collect temperature data inside the car compartment; S2. The analysis center monitors and analyzes temperature data to determine whether there are abnormal changes in the temperature inside the car. S3. If the temperature inside the car cabin changes abnormally, the built-in camera will collect internal image data of the car cabin.
[0023] The process of comprehensively analyzing environmental information data also includes: S4. The recognition unit identifies and analyzes the internal image information data of the car compartment to determine the opening and closing status of each row of windows in the car compartment. S411. If all the windows in the car are closed, the CO2 concentration data inside the car will be evaluated and analyzed by the analysis center. S412. The early warning module establishes an early warning strategy based on the results of the evaluation and analysis. S413. The control execution end issues the corresponding air conditioning adjustment command based on the results of the evaluation and analysis.
[0024] The process of comprehensively analyzing environmental information data also includes: S421. If there are open windows in the car compartment, external image information data will be continuously collected through an external camera. S422. The external image information data is identified and analyzed by the recognition unit, and it is determined whether the passenger at the window opening has any limbs sticking out of the window. S423. If a passenger is found to be extending their limbs out of the window, a danger warning signal shall be issued to the corresponding passenger through the passenger-side loudspeaker.
[0025] Through the above technical solution, this embodiment provides a specific process for the analysis center to comprehensively analyze environmental information data. First, various temperature sensors continuously collect temperature data inside the car compartment. Then, the analysis center monitors and analyzes the temperature data to determine if there are any abnormal changes in the temperature inside the car compartment. If abnormal changes occur, an internal image of the car compartment is captured by a built-in camera. Finally, a recognition unit identifies and analyzes this image data to determine the open / closed status of each row of windows inside the car compartment. If the temperature change is normal, the above operation is unnecessary; therefore, the built-in camera does not need to be constantly open, protecting passenger privacy and reducing the computing power required by the recognition unit. If, through the recognition unit's analysis, all rows of windows are closed, it indicates that the abnormal temperature change is not caused by opening the windows. Therefore, the analysis center needs to assess and analyze the CO2 concentration data inside the car compartment. The purpose of this assessment is primarily to determine if there is a risk of fire inside the vehicle. If a risk exists, the early warning module establishes an early warning strategy based on the assessment and analysis results. If no risk exists, it indicates that the only issue is an abnormal temperature change inside the vehicle. Therefore, the control execution unit issues a corresponding air conditioning adjustment command based on the assessment and analysis results. It should be noted that the purpose of the adjustment command is to maintain the average temperature inside the vehicle within a preset allowable range, which depends on the season and the number of passengers, and will not be elaborated here. If any windows in the vehicle are open, an external camera continuously collects external image information data. The recognition unit identifies and analyzes the external image information data and determines whether any passengers are extending their limbs out of the window. If such an action is detected, a danger warning signal is issued to the corresponding passenger through the passenger-side speaker. Therefore, the system allows passengers to open the windows according to their personal needs, while simultaneously monitoring and alerting passengers to prevent dangerous actions such as extending their arms out of the window. It should be noted that, as shown in the above process, the external camera is also a trigger-type component, and its non-constant operation saves the vehicle's limited resources.
[0026] The process of monitoring and analyzing temperature data includes: Through formula Calculate and obtain parameters of temperature change in the carriage ; in, These are the left and right endpoints of the preset unit study time period; This represents the average temperature change inside the car cabin over time. This is a pre-defined standard curve for temperature changes; This is the preset adjustment coefficient; Parameters of temperature change in the carriage With preset threshold Compare: like If so, the temperature inside the car is considered to be within normal range. like If so, the temperature inside the car compartment is determined to be abnormal.
[0027] Through the above technical solution, this embodiment provides a process for monitoring and analyzing temperature data. Specifically, it first uses the formula... Calculate and obtain parameters of temperature change in the carriage Then, the temperature change parameters of the carriage. With preset threshold For comparison: when This indicates that the temperature inside the car has not risen or fallen significantly, therefore it can be judged that the temperature inside the car is within normal range; if If this is the case, then the temperature inside the car is determined to be abnormal. It should also be noted that... This is a pre-defined standard curve for temperature changes; These are preset adjustment coefficients. Both of these data can be obtained by fitting simulation experiments based on historical data, which will not be described in detail here.
[0028] The process of evaluating and analyzing CO2 concentration data inside a car includes: Through the formula Calculate and obtain the fire risk coefficient ; in, These are preset weighting coefficients; The measured change in CO2 concentration inside a car compartment over time; The total number of people inside the car; This is a preset conversion function; This is a preset proportional coefficient; This is a preset standard value; Fire risk coefficient With preset threshold Comparison: like If so, the speaker on the driver's side will send a warning signal to the driver; like Then, the corresponding air conditioning temperature adjustment command will be issued.
[0029] Through the above technical solution, this embodiment provides a process for evaluating and analyzing CO2 concentration data inside a car compartment. Specifically, it first uses the formula... Calculate and obtain the fire risk coefficient Then, the fire risk factor With preset threshold Comparison: like If a fire occurs, the driver's loudspeaker will issue a warning signal to the driver. The reason this warning signal is not issued from the passenger's loudspeaker is that the aforementioned risk assessment is only a assessment of the risk of fire, and may not actually indicate a fire. Issuing a warning signal from the passenger's loudspeaker could easily cause panic among the passengers, and even if a fire occurs, it would be difficult to arrange for evacuation. However, if the driver issues a warning signal, the driver can slow down or stop to conduct a safety check inside the vehicle. If the system detects an error, it will issue a corresponding command to adjust the air conditioning temperature. The specific command depends on the season and the number of passengers, with the aim of maintaining the average temperature inside the vehicle within a preset acceptable range. It should also be noted that in the formula... The conversion function is preset and its specific value depends on factors such as the size of the vehicle's interior space and the type of vehicle, and will not be detailed here.
[0030] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.
Claims
1. A real-time monitoring and early warning system for the environment inside a car cabin, characterized in that, include: A data acquisition terminal is used to collect environmental information data inside a car compartment. The data acquisition terminal includes an image monitoring module and an air parameter acquisition module. The analysis center is used to conduct comprehensive analysis of environmental information data and establish feedback and adjustment strategies based on the comprehensive analysis. The early warning module is used to generate early warning information according to the feedback adjustment strategy, including speakers installed at the passenger end and the driver end; The control execution end is used to establish the communication relationship between the analysis center and the car's air conditioning system, and to issue corresponding adjustment commands to the car's air conditioning system according to the feedback adjustment strategy. The air parameter acquisition module includes: Several temperature sensors are installed in various corners of the car compartment to collect temperature data inside the car. A CO2 concentration sensor is installed at the exhaust vent of a car to collect CO2 concentration data inside the car. The image monitoring module includes: The camera includes a built-in camera and an external camera; several built-in cameras are evenly arranged on the top of the car body to collect internal image information data of the car body; the external camera is set on the top of the car rearview mirror to collect external image information data of the car body. The recognition unit is used to import the internal image information data and the external image information data into the trained image recognition model and output the recognition content to indicate the status information of passengers in each row; The process of comprehensively analyzing environmental information data includes: S1. Continuously collect temperature data inside the car compartment; S2. The analysis center monitors and analyzes temperature data to determine whether there are abnormal changes in the temperature inside the car. S3. If the temperature inside the car compartment changes abnormally, the built-in camera will collect internal image data of the car compartment. The process of comprehensively analyzing environmental information data also includes: S4. The recognition unit identifies and analyzes the internal image information data of the car compartment to determine the opening and closing status of each row of windows in the car compartment. S411. If all rows of windows are closed, the CO2 concentration data inside the car compartment will be evaluated and analyzed by the analysis center. S412. The early warning module establishes an early warning strategy based on the results of the evaluation and analysis. S413. The control execution end issues the corresponding air conditioning adjustment command based on the results of the evaluation and analysis.
2. The real-time monitoring and early warning system for the vehicle cabin environment according to claim 1, characterized in that, The process of comprehensively analyzing environmental information data also includes: S421. If there are open windows in the car compartment, external image information data will be continuously collected through an external camera. S422. The external image information data is identified and analyzed by the recognition unit, and it is determined whether the passenger at the window opening has any limbs sticking out of the window. S423. If a passenger is found to be extending their limbs out of the window, a danger warning signal shall be issued to the corresponding passenger through the passenger-side loudspeaker.
3. The real-time monitoring and early warning system for the vehicle cabin environment according to claim 2, characterized in that, The process of monitoring and analyzing temperature data includes: Through formula Calculate and obtain parameters of temperature change in the carriage ; in, , These are the left and right endpoints of the preset unit study time period; This represents the average temperature change inside the car cabin over time. This is a pre-defined standard curve for temperature changes; This is the preset adjustment coefficient; Parameters of temperature change in the carriage With preset threshold Compare: like If so, the temperature inside the car is considered to be within normal range. like If so, the temperature inside the car compartment is determined to be abnormal.
4. The real-time monitoring and early warning system for the vehicle cabin environment according to claim 3, characterized in that, The process of evaluating and analyzing CO2 concentration data inside a car includes: Through formula Calculate and obtain the fire risk coefficient ; in, , These are preset weighting coefficients; The value represents the change in CO2 concentration inside the car compartment over time; n represents the total number of people inside the car compartment. This is a preset conversion function; This is a preset proportional coefficient; This is a preset standard value; Fire risk coefficient With preset threshold Comparison: like If so, the speaker on the driver's side will send a warning signal to the driver; like Then, the corresponding air conditioning temperature adjustment command will be issued.
Citation Information
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