Intelligent cabin system control method and system based on open source gap system

Abstract

The invention discloses an intelligent cabin system control method and system based on an open source gap system, and the method comprises the steps: deploying a gap wireless communication module in an intelligent cabin system, and building communication connection with all sensors in the intelligent cabin system through the gap wireless communication module; deploying a gap controller in the intelligent cabin system, wherein the gap controller obtains sensor data collected by a plurality of sensors through the gap wireless communication module; and the swan gap controller performs real-time processing and analysis on the sensor data through a real-time operating system and an AI algorithm to obtain a data analysis result, and generates an intelligent cabin decision according to the data analysis result. According to the invention, the wireless, intelligent and mobile control of the intelligent cabin is realized through the open-source wide-gap system, and the operation efficiency and safety of equipment are improved.

Description

Technical Field

[0001] The present invention relates to the field of smart devices and Internet of Things technologies, and in particular to a smart cabin system based on the open source Hongmeng system. Background Art

[0002] With the development of Internet of Things technology, the smart cabin system has broad application prospects in the fields of ships, aviation, automobiles, etc. The smart cabin system is an intelligent environmental control system that integrates components such as sensors, controllers, communication modules and display interfaces. It is usually used in closed spaces that require high automation and intelligent monitoring, such as the cockpit of a ship, the cockpit of an airplane, the smart cockpit of a car, etc.

[0003] The existing smart cabin system sensors have complex wired connections and cannot meet the increasing demand. The equipment smart cabin relies on ground station instructions, which places high demands on the complexity of the information processing modules of the ground station and offshore auxiliary ships. The controller in the smart cabin has no display operation capabilities, which affects the user experience.

[0004] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0005] The main purpose of the present invention is to provide a smart cabin system control method and system based on the open source Hongmeng system, aiming to solve the problems of complex wiring of the smart cabin system, incomplete information processing, and low equipment operation efficiency in the prior art.

[0006] To achieve the above object, the present invention provides a smart cabin system control method based on the open source Hongmeng system, and the smart cabin system control method based on the open source Hongmeng system comprises the following steps:

[0007] Deploy a Hongmeng wireless communication module in the smart cabin system, and establish a communication connection with all sensors in the smart cabin system through the Hongmeng wireless communication module;

[0008] Deploy a Hongmeng controller in the smart cabin system, and the Hongmeng controller obtains sensor data collected by multiple sensors through the Hongmeng wireless communication module;

[0009] The Hongmeng controller processes and analyzes the sensor data in real time through a real-time operating system and AI algorithm to obtain data analysis results, and generates smart cabin decisions based on the data analysis results.

[0010] Optionally, the smart cabin system control method based on the open source Hongmeng system, wherein the Hongmeng wireless communication module is deployed in the smart cabin system, and a communication connection is established with all sensors in the smart cabin system through the Hongmeng wireless communication module, specifically includes:

[0011] Deploy the Hongmeng wireless communication module in the smart cabin system, and the Hongmeng wireless communication module uses a lightweight communication protocol;

[0012] The Hongmeng wireless communication module establishes a communication connection with all sensors in the smart cabin system, and the communication connection is a multipath communication that supports 5G and 2.4G mesh soft buses.

[0013] Optionally, the smart cabin system control method based on the open source Hongmeng system, wherein the Hongmeng controller is deployed in the smart cabin system, and the Hongmeng controller obtains sensor data collected by multiple sensors through the Hongmeng wireless communication module, specifically includes:

[0014] Deploy a Hongmeng controller in the smart cabin system, wherein the Hongmeng controller has a built-in real-time operating system and an AI algorithm;

[0015] Multiple in-cabin sensors collect environmental parameters and equipment status data, encode the collected sensor data through the Hongmeng wireless communication module, and then send it to the Hongmeng controller.

[0016] Optionally, the smart cabin system control method based on the open source Hongmeng system, wherein the Hongmeng controller processes and analyzes the sensor data in real time through a real-time operating system and an AI algorithm to obtain data analysis results, and generates a smart cabin decision based on the data analysis results, specifically includes:

[0017] Select or design a suitable AI algorithm according to the specific requirements of the smart cabin system;

[0018] Preprocessing the sensor data, using the preprocessed sensor data to train the AI ​​algorithm, and during the training process, adjusting the algorithm parameters and model structure to optimize the algorithm performance until the required accuracy and efficiency are achieved;

[0019] Integrate the trained AI algorithm into the real-time operating system of the Hongmeng controller;

[0020] The sensor data collected in real time is processed and analyzed in real time by the AI ​​algorithm trained in the real-time operating system of the Hongmeng controller to obtain data analysis results;

[0021] Decisions are made based on the data analysis results, and corresponding actuators or operations are triggered to achieve autonomous control of the smart cabin.

[0022] Optionally, the smart cabin system control method based on the open source Hongmeng system, wherein the trained AI algorithm is integrated into the real-time operating system of the Hongmeng controller, further comprises:

[0023] Test the smart cabin system that integrates AI algorithms to verify the performance and reliability of AI algorithms in actual working environments;

[0024] The AI ​​algorithm is iteratively optimized based on test results and feedback from actual applications.

[0025] Optionally, the smart cabin system control method based on the open source Hongmeng system, wherein the smart cabin system control method based on the open source Hongmeng system further includes:

[0026] Develop a mobile control platform based on the Hongmeng tablet, which is used to display controller data and sensor data, and is used for people in the cabin to perform control operations.

[0027] Optionally, in the smart cabin system control method based on the open source Hongmeng system, the controller data includes system status information, device control instructions and user operation records; the sensor data includes environmental sensor data, motion sensor data, position sensor data, safety sensor data and health monitoring sensor data.

[0028] Optionally, the smart cabin system control method based on the open source Hongmeng system, wherein the smart cabin system control method based on the open source Hongmeng system further includes:

[0029] The smart cabin system, which integrates the Hongmeng wireless communication module, Hongmeng controller and the mobile control platform based on the Hongmeng tablet, will be subjected to system testing.

[0030] Optionally, the smart cabin system control method based on the open source Hongmeng system, wherein the system test includes functional testing, performance testing, safety testing and actual environment testing.

[0031] In addition, to achieve the above-mentioned purpose, the present invention also provides a smart cabin system based on the open source Hongmeng system, wherein the smart cabin system based on the open source Hongmeng system includes: multiple sensors, a Hongmeng wireless communication module and a Hongmeng controller;

[0032] The Hongmeng wireless communication module establishes a communication connection with all sensors in the smart cabin system;

[0033] The Hongmeng controller obtains sensor data collected by multiple sensors through the Hongmeng wireless communication module;

[0034] The Hongmeng controller processes and analyzes the sensor data in real time through a real-time operating system and AI algorithm to obtain data analysis results, and generates smart cabin decisions based on the data analysis results.

[0035] In the present invention, a Hongmeng wireless communication module is deployed in the smart cabin system, and a communication connection is established with all sensors in the smart cabin system through the Hongmeng wireless communication module; a Hongmeng controller is deployed in the smart cabin system, and the Hongmeng controller obtains sensor data collected by multiple sensors through the Hongmeng wireless communication module; the Hongmeng controller processes and analyzes the sensor data in real time through a real-time operating system and an AI algorithm to obtain data analysis results, and generates smart cabin decisions based on the data analysis results. The present invention realizes wireless, intelligent and mobile control of smart cabins through the open source Hongmeng system, which improves the operating efficiency and safety of equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flowchart of a preferred embodiment of the smart cabin system control method based on the open source Hongmeng system of the present invention;

[0037] Figure 2 This is a structural diagram of a preferred embodiment of the smart cabin system based on the open source Hongmeng system of the present invention;

[0038] Figure 3 It is a schematic diagram of the networking architecture of a preferred embodiment of the smart cabin system based on the open source Hongmeng system of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0040] The components of the smart cabin system mainly include: sensor network, controller, communication module, actuator, user interface, software system and power management system.

[0041] (1) Sensor networks include:

[0042] Temperature sensor: monitors temperature changes in the cabin.

[0043] Humidity Sensor: Monitors the humidity level in the cabin.

[0044] Oxygen sensor: monitors the oxygen concentration in the cabin.

[0045] Pressure sensor: monitors changes in air pressure in the cabin.

[0046] Vibration sensor: monitors the vibration of the equipment.

[0047] Smoke Sensor: Detects smoke and fire conditions.

[0048] Other environmental sensors: Depending on specific needs, they may also include harmful gas sensors, light sensors, etc.

[0049] (2) The controller includes:

[0050] Central Processing Unit (CPU): Processes sensor data and executes control algorithms.

[0051] Input / output interface: connect sensors and actuators.

[0052] Storage unit: stores the operating system and applications.

[0053] (3) Communication module:

[0054] Wireless communication module: realize wireless data transmission between sensor and controller.

[0055] Wired communication interface: as a backup for wireless communication or for certain specific communication needs.

[0056] (4) The actuator includes:

[0057] Motors: used to adjust doors and windows, ventilation systems, etc.

[0058] Heater / Cooler: Regulates cabin temperature.

[0059] Other executive equipment: such as lighting control, sound system, etc.

[0060] (5) User interface:

[0061] Display screen: displays sensor data, system status, warning messages, etc.

[0062] Operation panel: allows users to manually enter commands or adjust system settings.

[0063] (6) Software system:

[0064] Real-time operating system: ensures fast response and stable operation of the system.

[0065] Application: Provides user interface, data processing, control logic and other functions.

[0066] (7) Power management system:

[0067] Battery: Provides backup power for the system.

[0068] Power Management Unit: Monitors and manages power usage.

[0069] The goal of the smart cabin system is to provide a safe, comfortable and efficient operating environment. By integrating the above components, it can achieve real-time monitoring, intelligent analysis and automatic control of environmental parameters.

[0070] The reasons for the problems of the existing smart cabin system can be analyzed from the aspects of technical limitations, design defects and practical application challenges:

[0071] (1) The wired connection of sensors is complex and it is difficult to meet the demand for increasing numbers:

[0072] Technical limitations: Traditional wired connections have physical limitations in wiring. As the number of sensors increases, wiring becomes more complex and cumbersome.

[0073] Poor scalability: Wired connections limit the scalability of the system because each additional sensor may require rewiring.

[0074] Difficult to maintain: Wired connections are more difficult and prone to errors when it comes to equipment maintenance and upgrades.

[0075] (2) The equipment intelligent cabin relies on ground station instructions, which places high demands on the complexity of the information processing modules of the ground station and the offshore auxiliary vessels:

[0076] Design flaw: The system design relies too much on the ground station, resulting in insufficient autonomy of the smart cabin.

[0077] Communication delays: Reliance on ground station instructions may result in communication delays, affecting real-time decision-making and emergency response.

[0078] High complexity: The information processing modules of the ground station and auxiliary ships need to process a large amount of data, which increases the system complexity and cost.

[0079] (3) The smart cabin controller has no display operation capabilities, affecting the user experience:

[0080] Lack of user interface: The controller lacks an intuitive display interface, making it difficult for operators to obtain real-time information and perform effective operations.

[0081] Unfriendly interaction: The lack of display operation capabilities means poor user interaction experience, complex operations, and is not conducive to quick and accurate control.

[0082] Insufficient information feedback: The lack of a display interface also means insufficient feedback on system status and warning information, reducing the availability and security of the system.

[0083] In summary, the existence of the above problems is mainly due to the limitations of existing technologies in communication methods, system design and user experience. In order to solve these problems, it is necessary to adopt more advanced wireless communication technologies, enhance the autonomous decision-making capabilities of smart cabins, and provide more friendly user interfaces and interaction methods. This is exactly the problem that the smart cabin system technology based on the open source Hongmeng system proposed in this invention aims to solve.

[0084] With the support of the open source Hongmeng system, the smart cabin system of the present invention can more flexibly adapt to the needs of different application scenarios and improve the intelligence level of the system and user experience.

[0085] The smart cabin system control method based on the open source Hongmeng system described in the preferred embodiment of the present invention is as follows: Figure 1 As shown, the smart cabin system control method based on the open source Hongmeng system includes the following steps:

[0086] Step S10: deploy the Hongmeng wireless communication module in the smart cabin system, and establish a communication connection with all sensors in the smart cabin system through the Hongmeng wireless communication module.

[0087] Specifically, the Hongmeng wireless communication module is deployed in the smart cabin system, and the Hongmeng wireless communication module uses a lightweight communication protocol; the Hongmeng wireless communication module establishes a communication connection with all sensors in the smart cabin system, and the communication connection is a multipath communication that supports 5G and 2.4G mesh soft bus (refers to the technology of transmitting data through multiple different communication paths or channels, the purpose of this technology is to improve the reliability, stability and efficiency of data transmission).

[0088] Among them, Hongmeng wireless communication module has the following characteristics and benefits:

[0089] Features:

[0090] (1) Distributed architecture: The Hongmeng system adopts a distributed architecture, which allows the wireless communication module to work flexibly with other devices to form a unified communication network.

[0091] (2) Lightweight protocol: The Hongmeng wireless communication module uses a lightweight communication protocol to reduce data transmission delays and power consumption.

[0092] (3) Multipath transmission: Supports multipath transmission methods such as 5G and 2.4G mesh soft bus to improve the reliability and stability of data transmission.

[0093] (4) Plug and Play: The module is designed to be plug and play, which is easy to install and maintain.

[0094] (5) Security: Built-in security mechanism ensures the security of data transmission.

[0095] benefit:

[0096] (1) Simplified wiring: Wireless connection reduces complex wiring work and reduces installation and maintenance costs.

[0097] (2) Easy to expand: The wireless module facilitates the addition of new sensor nodes, improving the scalability of the system.

[0098] (3) Reduce weight: The extra weight caused by wired connections is reduced, making it suitable for weight-sensitive application scenarios.

[0099] (4) Improve reliability: Multipath transmission reduces the risk of single point failure and improves system reliability.

[0100] (5) Enhanced flexibility: Wireless connectivity allows sensors to be placed in more appropriate locations without being restricted by the length of physical cables.

[0101] The data collected by the cabin sensors is indeed transmitted through the Hongmeng wireless communication module. The following is the detailed process:

[0102] (1) Data collection: Sensors inside the cabin collect data such as environmental parameters and equipment status.

[0103] (2) Data transmission: The collected data is encoded and wirelessly transmitted through the Hongmeng wireless communication module.

[0104] (3) Data reception: The Hongmeng controller receives and processes data from the wireless communication module.

[0105] (4) Data processing: The AI ​​algorithms and applications in the Hongmeng controller process the data and execute the corresponding control logic.

[0106] In this way, the data collected by the sensors in the cabin can be efficiently and reliably transmitted to the Hongmeng controller, thereby realizing the intelligent and automated control of the smart cabin system.

[0107] Step S20: deploy a Hongmeng controller in the smart cabin system, and the Hongmeng controller obtains sensor data collected by multiple sensors through the Hongmeng wireless communication module.

[0108] Specifically, a Hongmeng controller is deployed in the smart cabin system, and the Hongmeng controller has a built-in real-time operating system and AI algorithm; multiple in-cabin sensors collect environmental parameters and equipment status data, and the collected sensor data is encoded through the Hongmeng wireless communication module and sent to the Hongmeng controller.

[0109] A controller based on the open source Hongmeng system is added to the original smart cabin. The introduction of this controller is to improve the intelligence level of the smart cabin. Specifically, it has the following functions:

[0110] (1) Increase intelligent processing capabilities: The Hongmeng controller has a built-in real-time operating system and AI algorithm, which can realize real-time processing and analysis of sensor data, thereby making intelligent decisions.

[0111] (2) Realize atomic application operation: The Hongmeng controller supports the operation of atomic applications, which means that applications can be quickly developed and deployed for specific functions or services, improving the flexibility and scalability of the system.

[0112] (3) Providing application store capabilities: Through the Hongmeng controller, the smart cabin system can access the application store to download and install more functions and services, further enriching the system's application ecology.

[0113] (4) Hybrid deployment: The Hongmeng controller can be deployed in combination with existing system components, which means that new intelligent functions can be added without completely replacing the original system.

[0114] Therefore, the process of introducing a Hongmeng controller usually involves the following steps:

[0115] (1) Hardware integration: Install Hongmeng controller hardware in the smart cabin.

[0116] (2) Software deployment: Deploy the real-time operating system and necessary software applications on the Hongmeng controller.

[0117] (3) Interface docking: Ensure that the Hongmeng controller can effectively exchange data and transmit control instructions with other system components in the cabin (such as sensors, actuators, etc.).

[0118] (4) Functional testing: Test the various functions of the Hongmeng controller to ensure that it can operate normally according to design requirements.

[0119] Through such transformation, the smart cabin system can not only reduce its dependence on ground stations and improve its autonomous decision-making capabilities, but also provide a more intuitive and convenient operating interface for cabin personnel, thereby improving the overall user experience and the intelligence level of the system.

[0120] The process of hybrid deployment via a real-time operating system typically involves the following steps:

[0121] (1) Select a suitable real-time operating system: You need to select a real-time operating system (RTOS) that is suitable for the requirements of the smart cabin system. This system should be able to support the hardware of the Hongmeng controller and have good compatibility and scalability.

[0122] (2) System architecture design: Design a hybrid system architecture to combine the new real-time operating system with the original systems in the smart cabin. This may include defining interfaces, protocols, and data exchange formats to ensure smooth interaction between new and old systems.

[0123] (3) Hardware adaptation: Perform hardware adaptation on the Hongmeng controller to ensure that it can work together with other hardware components (such as sensors, actuators, etc.) in the smart cabin.

[0124] (4) Software integration: Integrate AI algorithms, atomic applications, and other necessary software components into the real-time operating system, involving the following steps: Compilation and configuration: Compile the real-time operating system and applications according to the hardware specifications of the Hongmeng controller. Modular design: Decompose the software into modules for easy management and updating. Driver development: Develop or adapt drivers for new hardware components.

[0125] (5) Deploy the real-time operating system: Deploy the compiled real-time operating system to the Hongmeng controller. This may include burning the firmware into the controller's memory.

[0126] (6) Hybrid deployment implementation: Implement hybrid deployment, which usually includes the following steps: Startup and initialization: Start the real-time operating system and perform initial configuration. Data exchange: Ensure that the new system can exchange data with the original system, which may require setting up data forwarding rules or middleware. Functional verification: Verify that the functions of the real-time operating system and the original system work as expected.

[0127] (7) Testing and optimization: Conduct comprehensive testing on the hybrid deployment system, including functional testing, performance testing, and stability testing. Perform necessary optimization based on the test results.

[0128] Through the above steps, the real-time operating system was successfully deployed in the smart cabin system, realizing the operation of AI algorithms and the execution of atomic applications, thereby improving the autonomous intelligent decision-making capabilities of the equipment smart cabin. This hybrid deployment method not only retains the effective parts of the original system, but also introduces new intelligent functions, improving the performance and efficiency of the entire smart cabin system.

[0129] Step S30: The Hongmeng controller processes and analyzes the sensor data in real time through a real-time operating system and an AI algorithm to obtain data analysis results, and generates a smart cabin decision based on the data analysis results.

[0130] Specifically, according to the specific needs of the smart cabin system, a suitable AI algorithm is selected or designed; the sensor data is preprocessed, and the AI ​​algorithm is trained using the preprocessed sensor data. During the training process, the algorithm parameters and model structure are adjusted to optimize the algorithm performance until the required accuracy and efficiency are achieved; the trained AI algorithm is integrated into the real-time operating system of the Hongmeng controller; the sensor data collected in real time is processed and analyzed in real time by the trained AI algorithm in the real-time operating system of the Hongmeng controller to obtain data analysis results; decisions are made based on the data analysis results, and corresponding actuators or operations are triggered to achieve autonomous control of the smart cabin.

[0131] In the present invention, the process of realizing the AI ​​algorithm with the ability to intelligently process data generally involves the following key steps:

[0132] (1) AI algorithm selection and design: Select or design appropriate AI algorithms based on the specific needs of the smart cabin system. These algorithms may include machine learning, deep learning, pattern recognition, predictive analysis, etc.

[0133] (2) Data preprocessing: Preprocess the data collected by the sensor, including data cleaning, normalization, feature extraction, etc., to ensure the quality of the data and the effectiveness of the algorithm processing.

[0134] (3) Algorithm training and optimization: Use preprocessed data to train the AI ​​algorithm. This may need to be done on specialized hardware (such as GPU or TPU) to improve training efficiency. During the training process, the algorithm performance is optimized by adjusting the algorithm parameters and model structure until satisfactory accuracy and efficiency are achieved.

[0135] (4) Algorithm integration: Integrate the trained AI algorithm into the real-time operating system of the Hongmeng controller. The following steps are involved: Algorithm packaging: Encapsulate the algorithm into a module that can run in the real-time operating system. Interface development: Develop the interface between the algorithm and the operating system to ensure that data can be smoothly transferred between the algorithm and other parts of the system.

[0136] (5) Real-time data processing: Ensure that the AI ​​algorithm can process sensor data in real time in a real-time operating system. This usually requires the algorithm to have fast response capabilities and low latency.

[0137] (6) Decision-making and execution: After the AI ​​algorithm processes the data, it needs to be able to make decisions based on the analysis results and trigger corresponding actuators or operations to achieve autonomous control of the smart cabin.

[0138] (7) System testing and verification: Test the smart cabin system that integrates the AI ​​algorithm to verify the performance and reliability of the algorithm in the actual working environment. Conduct simulation tests in various scenarios to ensure that the AI ​​algorithm can correctly process data and make decisions in different situations.

[0139] (8) Feedback and iteration: Based on test results and feedback from actual applications, the AI ​​algorithm is iteratively optimized to improve its ability to process data intelligently.

[0140] Through the above steps, the Hongmeng controller in the smart cabin system can realize intelligent data processing of AI algorithms, thereby improving the autonomous intelligent decision-making capabilities of the smart cabin, reducing dependence on ground stations, and improving the overall performance and efficiency of the system.

[0141] Furthermore, a mobile control platform based on the Hongmeng tablet is developed, which is used to display controller data and sensor data, and is used for people in the cabin to perform control operations.

[0142] The mobile control platform refers to a software system based on the Hongmeng tablet. It is not just the mobile Hongmeng tablet itself, but a complete solution, including hardware (Hongmeng tablet) and software (control platform application). The following is a detailed explanation of the mobile control platform, the components of the mobile control platform:

[0143] (1) Hardware: Hongmeng Tablet: This is a portable hardware device with a touch screen, processor, memory, storage space, and wireless communication capabilities. It serves as the physical carrier of the mobile control platform, allowing users to operate it at different locations in the cabin.

[0144] (2) Software part: Control platform application: This is the software installed on the Hongmeng tablet, which provides the user interface and necessary functions so that users can monitor and control the controllers and sensor data in the smart cabin.

[0145] (3) User Interface: An intuitive, easy-to-operate user interface allows users to view sensor data, system status, and control settings.

[0146] (4) Control logic: The control logic contained in the software can convert the user's instructions into control signals for each component in the smart cabin system.

[0147] Functions of mobile control platform:

[0148] (1) Data display: Real-time display of data collected by sensors, such as temperature, humidity, pressure, etc.

[0149] (2) Control function: allows users to remotely control various devices in the smart cabin, such as lighting, temperature control, security system, etc.

[0150] (3) System monitoring: Monitor the operating status of the smart cabin system, including device status, network connection, and system health.

[0151] (4) Alarm and notification: When an abnormality occurs in the system, an alarm or notification will be sent to the user.

[0152] Features of mobile control platform:

[0153] (1) Portability: Users can carry it with them and operate it anytime and anywhere.

[0154] (2) Flexibility: The software can be customized and expanded according to different application scenarios.

[0155] (3) Interoperability: Seamless collaboration with other system components in the smart cabin (such as Hongmeng controller).

[0156] Therefore, the mobile control platform is not just a movable Hongmeng tablet, it is a comprehensive system integrating hardware and software, providing users with a flexible and convenient way to monitor and control the smart cabin system.

[0157] The controller data and sensor data mentioned above may include the following:

[0158] Controller data:

[0159] (1) System status information:

[0160] Power status (e.g. battery level, charging status);

[0161] Network connection status (such as 5G, 2.4Gmesh connection status); controller operation status (such as CPU usage, memory usage).

[0162] (2) Equipment control instructions:

[0163] Lighting control (switch, brightness adjustment);

[0164] Environmental control systems (temperature, humidity, air quality control); security systems (such as access control, alarm systems).

[0165] (3) User operation records:

[0166] User interface operation log;

[0167] Controls the command history.

[0168] Sensor data:

[0169] (1) Environmental sensors:

[0170] Temperature sensor (temperature data inside and outside the cabin);

[0171] Humidity sensor (humidity data inside and outside the cabin);

[0172] Pressure sensor (air pressure data inside and outside the cabin);

[0173] Oxygen sensor (cabin oxygen concentration).

[0174] (2) Motion sensor:

[0175] Accelerometer (detects the acceleration and tilt angle of the cabin); gyroscope (detects the rotational motion of the cabin).

[0176] (3) Position sensor:

[0177] GPS (Global Positioning System, providing the geographic location of the cabin); Inertial Navigation System (providing the heading and speed information of the cabin).

[0178] (4) Safety sensor:

[0179] Smoke detector (to detect smoke concentration);

[0180] Gas sensor (to detect the concentration of combustible gas);

[0181] Heat detectors (detect abnormal temperatures and prevent fires).

[0182] (5) Health monitoring sensors:

[0183] Heart rate monitor (to monitor the heart rate of the person);

[0184] Blood pressure monitor (monitors a person's blood pressure).

[0185] (6) Other special sensors:

[0186] Water level sensor (to detect water level in the cabin);

[0187] Vibration sensors (detect vibrations of equipment or structures).

[0188] These controller data and sensor data are displayed and controlled through the mobile control platform, allowing cabin personnel to monitor the environmental status and equipment operation of the smart cabin in real time and perform corresponding control operations as needed. In this way, the operation of the smart cabin system becomes more intuitive and convenient, while also improving the safety and reliability of the system.

[0189] Furthermore, the smart cabin system that integrates the Hongmeng wireless communication module, Hongmeng controller and the mobile control platform based on the Hongmeng tablet will be subjected to system testing, which includes functional testing, performance testing, safety testing and actual environment testing.

[0190] System testing is a key link that ensures the stability and reliability of the entire smart cabin system. The following are the general steps and methods for system testing:

[0191] (1) Test plan formulation:

[0192] Define test objectives: Clarify the purpose of the test, such as verifying the system's functionality, performance, stability, and security.

[0193] Design test cases: Based on system requirements and design documents, write detailed test cases, including normal operations and abnormal situations.

[0194] Determine the testing method: Select an appropriate testing method, such as black box testing, white box testing, gray box testing, etc.

[0195] (2) Test environment construction:

[0196] Hardware preparation: Ensure that all hardware devices (such as sensors, Hongmeng controller, Hongmeng tablet, etc.) are working properly.

[0197] Software deployment: Deploy the software of the smart cabin system in the test environment, including the operating system, application programs, and control platform.

[0198] Network configuration: Set up the network environment to ensure that the wireless communication module can work normally.

[0199] (3) Functional test:

[0200] Individual component testing: Each component (such as sensor, controller, tablet, etc.) is tested individually to ensure that they work as expected.

[0201] Integration testing: Testing the interactions and data flow between components to ensure that the system works together as a whole.

[0202] User interface testing: Verify whether the user interface of the mobile control platform is intuitive and easy to use.

[0203] (4) Performance test:

[0204] Response time test: Measures the system's response time to control commands to ensure fast response.

[0205] Load testing: Simulate high load conditions to test the system's performance under pressure.

[0206] Stability testing: Run the system for a long time to check for memory leaks or performance degradation.

[0207] (5) Safety testing:

[0208] Communication security: Test the security of wireless communications, including data encryption and authentication mechanisms.

[0209] System protection: Check the system's protection capabilities against external attacks, such as network attacks, malware, etc.

[0210] (6) Actual environment test:

[0211] Simulated environment testing: Testing in simulated marine, aviation or automotive environments to verify the performance of the system in actual usage scenarios.

[0212] Field testing: If conditions permit, conduct field testing to verify the performance and reliability of the system in actual operation.

[0213] (7) Problem tracking and repair:

[0214] Record test results: Record in detail the problems and anomalies found during the test.

[0215] Analysis and repair: Analyze the problems found, locate the causes, and repair them.

[0216] Regression testing: After a problem is fixed, regression testing is performed to ensure that the fix did not introduce new problems.

[0217] Through these steps, all aspects of the smart cabin system can be comprehensively tested to ensure that the system meets the predetermined performance and safety standards before formal deployment.

[0218] Beneficial effects of the present invention:

[0219] (1) Simplify sensor connections, reduce wiring complexity and equipment weight.

[0220] (2) Improve the autonomous and intelligent decision-making capabilities of the equipment’s smart cabin and reduce dependence on ground stations.

[0221] (3) Improve user experience and enable cabin personnel to monitor and control controller and sensor data in real time.

[0222] Furthermore, if Figure 2 and Figure 3 As shown, based on the above-mentioned smart cabin system control method based on the open source Hongmeng system, the present invention also provides a smart cabin system based on the open source Hongmeng system, wherein the smart cabin system based on the open source Hongmeng system includes: multiple sensors, Hongmeng wireless communication module and Hongmeng controller; the Hongmeng wireless communication module establishes a communication connection with all sensors in the smart cabin system; the Hongmeng controller obtains sensor data collected by multiple sensors through the Hongmeng wireless communication module; the Hongmeng controller processes and analyzes the sensor data in real time through a real-time operating system and an AI algorithm to obtain data analysis results, and generates smart cabin decisions based on the data analysis results.

[0223] In summary, the present invention provides a method and system for controlling a smart cabin system based on an open source Hongmeng system, the method comprising: deploying a Hongmeng wireless communication module in the smart cabin system, establishing a communication connection with all sensors in the smart cabin system through the Hongmeng wireless communication module; deploying a Hongmeng controller in the smart cabin system, the Hongmeng controller obtaining sensor data collected by multiple sensors through the Hongmeng wireless communication module; the Hongmeng controller processes and analyzes the sensor data in real time through a real-time operating system and an AI algorithm, obtains data analysis results, and generates smart cabin decisions based on the data analysis results. The present invention realizes wireless, intelligent, and mobile control of smart cabins through the open source Hongmeng system, thereby improving the operating efficiency and safety of the equipment.

[0224] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or terminal including the element.

[0225] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium that can be read by a computer, and the program can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0226] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A smart cabin system control method based on the open source Hongmeng system, characterized in that: The smart cabin system control method based on the open source Hongmeng system includes: Deploy a Hongmeng wireless communication module in the smart cabin system, and establish a communication connection with all sensors in the smart cabin system through the Hongmeng wireless communication module; Deploy a Hongmeng controller in the smart cabin system, and the Hongmeng controller obtains sensor data collected by multiple sensors through the Hongmeng wireless communication module; The Hongmeng controller processes and analyzes the sensor data in real time through a real-time operating system and AI algorithm to obtain data analysis results, and generates smart cabin decisions based on the data analysis results.

2. The smart cabin system control method based on the open source Hongmeng system according to claim 1 is characterized in that: The deploying of the Hongmeng wireless communication module in the smart cabin system and establishing a communication connection with all sensors in the smart cabin system through the Hongmeng wireless communication module specifically includes: Deploy the Hongmeng wireless communication module in the smart cabin system, and the Hongmeng wireless communication module uses a lightweight communication protocol; The Hongmeng wireless communication module establishes a communication connection with all sensors in the smart cabin system, and the communication connection is a multipath communication that supports 5G and 2.4G mesh soft buses.

3. The smart cabin system control method based on the open source Hongmeng system according to claim 1 is characterized in that: The deploying of a Hongmeng controller in the smart cabin system, wherein the Hongmeng controller obtains sensor data collected by multiple sensors through the Hongmeng wireless communication module, specifically includes: Deploy a Hongmeng controller in the smart cabin system, wherein the Hongmeng controller has a built-in real-time operating system and an AI algorithm; Multiple in-cabin sensors collect environmental parameters and equipment status data, encode the collected sensor data through the Hongmeng wireless communication module, and then send it to the Hongmeng controller.

4. The smart cabin system control method based on the open source Hongmeng system according to claim 1 is characterized in that: The Hongmeng controller processes and analyzes the sensor data in real time through a real-time operating system and an AI algorithm to obtain data analysis results, and generates smart cabin decisions based on the data analysis results, specifically including: Select or design a suitable AI algorithm according to the specific requirements of the smart cabin system; Preprocessing the sensor data, using the preprocessed sensor data to train the AI ​​algorithm, and during the training process, adjusting the algorithm parameters and model structure to optimize the algorithm performance until the required accuracy and efficiency are achieved; Integrate the trained AI algorithm into the real-time operating system of the Hongmeng controller; The sensor data collected in real time is processed and analyzed in real time by the AI ​​algorithm trained in the real-time operating system of the Hongmeng controller to obtain data analysis results; Decisions are made based on the data analysis results, and corresponding actuators or operations are triggered to achieve autonomous control of the smart cabin.

5. The smart cabin system control method based on the open source Hongmeng system according to claim 4 is characterized in that: The step of integrating the trained AI algorithm into the real-time operating system of the Hongmeng controller further includes: Test the smart cabin system that integrates AI algorithms to verify the performance and reliability of AI algorithms in actual working environments; The AI ​​algorithm is iteratively optimized based on test results and feedback from actual applications.

6. The smart cabin system control method based on the open source Hongmeng system according to claim 1 is characterized in that: The smart cabin system control method based on the open source Hongmeng system also includes: Develop a mobile control platform based on the Hongmeng tablet, which is used to display controller data and sensor data, and is used for people in the cabin to perform control operations.

7. The smart cabin system control method based on the open source Hongmeng system according to claim 6 is characterized in that: The controller data includes system status information, device control instructions and user operation records; the sensor data includes environmental sensor data, motion sensor data, position sensor data, safety sensor data and health monitoring sensor data.

8. The smart cabin system control method based on the open source Hongmeng system according to claim 1 is characterized in that: The smart cabin system control method based on the open source Hongmeng system also includes: The smart cabin system, which integrates the Hongmeng wireless communication module, Hongmeng controller and the mobile control platform based on the Hongmeng tablet, will be subjected to system testing.

9. The smart cabin system control method based on the open source Hongmeng system according to claim 7 is characterized in that: The system test includes function test, performance test, safety test and actual environment test.

10. A smart cabin system based on the open source Hongmeng system, characterized in that: The smart cabin system based on the open source Hongmeng system includes: multiple sensors, Hongmeng wireless communication modules and Hongmeng controllers; The Hongmeng wireless communication module establishes a communication connection with all sensors in the smart cabin system; The Hongmeng controller obtains sensor data collected by multiple sensors through the Hongmeng wireless communication module; The Hongmeng controller processes and analyzes the sensor data in real time through a real-time operating system and AI algorithm to obtain data analysis results, and generates smart cabin decisions based on the data analysis results.

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