Direct-drive environment regulation system and method based on real-time human body somatosensory

Abstract

The application discloses a direct-drive type environment regulation system and method based on real-time human body somatosensory, and belongs to the technical field of air conditioning, and solves the problems that traditional equipment relies on manual setting parameters, users are passively adapted to the environment, and long-term guarantee of somatosensory comfort is difficult. The system is composed of a somatosensory collection module, a data processing module and a regulation execution module to form a closed-loop linkage system. Real-time capture of real somatosensory data such as user body surface temperature and thermal feedback is performed, a preset comfort interval is compared, regulation instructions are directly generated, an intermediate process of manual setting of temperature and humidity is skipped, and air conditioners, floor heating, fresh air machines and other equipment are directly driven to adjust the power, gear and start-stop state, maintain user somatosensory comfort and reduce repeated debugging operations. The application is not limited to specific hardware models and brands, is compatible with conventional equipment, can be operated without AI algorithms, reserves an intelligent upgrading interface, has strong implementability and has a large-scale application prospect.

Description

Technical Field

[0001] This invention belongs to the field of air conditioning technology, specifically relating to an environmental control system and method that eliminates the need for manually preset environmental parameters and directly completes closed-loop control based on the actual human body sensation. It is suitable for multi-person shared and multi-device linkage scenarios such as home, vehicle, and office. The core functions do not require the support of AI, big data, and intelligent learning modules, but can be upgraded by adding intelligent modules later. Background Technology

[0002] Currently, various environmental control devices on the market, including household air conditioners, car air conditioners, underfloor heating, wall-mounted heaters, portable air coolers, humidifiers, fresh air systems, and air purifiers, all adopt traditional fixed parameter control logic. The core operating mode is: users manually set fixed parameters such as target ambient temperature and humidity based on their own physical sensations. Various devices then maintain these environmental indicators at the set values ​​based on data collected by environmental sensors. This entire process has significant user pain points and logical flaws. Firstly, traditional environmental control devices always revolve around regulating "fixed environmental parameters" rather than "actual human sensations." Human perception is influenced by various factors such as ambient temperature, humidity, wind speed, individual physical condition, and activity level. Under the same environmental parameters, the perceived comfort level varies greatly among different users or even the same user in different states. It is easy for users to experience situations where the parameters meet the standards but the user feels too hot, too cold, too dry, or too stuffy. Users need to repeatedly manually adjust various devices, making the operation cumbersome. Secondly, many existing intelligent control technologies indirectly calculate theoretical perceived comfort values ​​by collecting users' body surface temperature, ultimately converting this into fixed environmental parameters to drive device operation. This doesn't escape the underlying logic of "controlling environmental parameters," and essentially fails to achieve direct linkage between body sensation and device functionality. Furthermore, most intelligent solutions rely on AI algorithms, big data training, and user habit learning, resulting in high hardware costs, complex control logic, insufficient stability, and the risk of user data privacy leaks. Thirdly, existing control technologies lack versatility, mostly being tied to specific brands and models of single devices. They cannot achieve multi-device, full-domain collaboration, and different types of environmental control devices operate independently, making it difficult to create an integrated, comfortable environment, thus severely limiting their usability.

[0003] In summary, existing environmental control technologies have not broken through the traditional framework of "manual parameter setting and user adaptation to the environment," and cannot achieve direct control and full-domain collaborative regulation of environmental devices based on human body sensation. This invention aims to provide a technical solution that requires no AI assistance, no manual setting of environmental parameters, has a simple architecture, strong versatility, and can achieve closed-loop regulation and multi-device linkage based on human body sensation, thereby meeting the long-term comfort needs of users in all scenarios. Summary of the Invention Purpose of the invention

[0004] To address the shortcomings of existing technologies, this invention proposes a direct-drive environmental control system and method based on real-time human body sensation. It breaks away from the underlying logic of fixed parameter control in traditional environmental devices, skipping the setting of environmental parameters such as temperature and humidity. This achieves the technical effects of directly driving device operation based on real-time human body sensation, maintaining comfort in a closed loop, and enabling collaborative operation of multiple devices across the entire domain. This solution features a streamlined architecture; its basic functions can operate stably without AI algorithms or large-scale data training. It is not tied to specific hardware or brands and is compatible with all types of conventional environmental control devices. It solves the technical problems of cumbersome operation, poor adaptability to human body sensation, and inability to coordinate multiple devices in traditional control methods. Technical solution

[0005] To achieve the above-mentioned technical objectives, the present invention adopts the following technical solution: In the first aspect, the present invention provides a direct-drive environmental control system based on real-time human body sensation, which mainly includes a human body sensation acquisition module, a data processing module and an environmental control execution module that are connected in sequence. The three modules form a direct closed-loop linkage system without interruption or algorithm transfer, and the core control link does not require AI learning intervention.

[0006] The human body sensation acquisition module is responsible for collecting real-time user sensation data, including indicators such as body surface temperature, local thermal feedback, and sensation comfort. It does not limit the device model, appearance, or wearing method and can use conventional acquisition devices such as smart bracelets, sensation patches, and portable sensation terminals. It communicates with the data processing module via conventional wireless or wired methods.

[0007] The data processing module has a built-in exclusive comfort zone that the user manually calibrates upon first use, eliminating the need for subsequent machine learning optimization. After receiving real-time data from the motion sensing acquisition module, the module directly compares and analyzes it with the preset comfort zone to quickly generate corresponding environmental control commands. Throughout the process, the motion sensing signals are not converted into fixed parameters such as temperature and humidity, completely skipping the intermediate step of manually setting environmental parameters.

[0008] The environmental control execution module can connect to various conventional environmental control devices, including household and vehicle air conditioners, floor heating, heaters, air coolers, humidifiers, fresh air systems, air purifiers, etc. After receiving instructions from the data processing module, it directly controls the device power, fan speed, gear, and start / stop status, dynamically adjusting the environmental state until the user's body feels comfortable and maintains a steady state, forming a direct-drive closed-loop control without requiring structural modifications to existing environmental equipment.

[0009] In addition, this system takes into account both single-user exclusive use and multi-user shared scenarios. When there are multiple users in the environment, data can be collected synchronously through multiple motion sensing acquisition modules. The data processing module selects the main user's motion sensing, the average motion sensing of multiple users, or a compromise motion sensing as the basis for adjustment according to the preset priority strategy, so as to achieve multi-user collaborative adaptation. The system is also equipped with an auxiliary control unit, which covers one or more control methods such as voice, remote control, mobile APP, and local panel. The auxiliary commands can temporarily adjust the device's operating status without changing the core motion sensing direct drive logic.

[0010] Meanwhile, the system supports independent operation of a single device and full-domain collaboration of multiple devices. For multi-area and multi-device scenarios, the device location can be manually configured through an APP or other means, or the network can be automatically identified and networked through Bluetooth, Wi-Fi, LAN, etc., to achieve precise control of zones and balanced environment across the entire area. It can also link with devices such as humidifiers, fresh air systems, and air purifiers to complete integrated coordinated adjustment of temperature, humidity, airflow, and purification based on human body sensation, without changing the core direct-drive architecture.

[0011] In a second aspect, this invention provides a direct-drive environmental control method based on real-time human body sensation, adapted to the aforementioned system. The specific steps are as follows: Step 1, Sensational Range Calibration: Users manually set their own comfortable sensational range upon first use. Multiple users can calibrate and store their data separately. The data processing module permanently stores the parameters, eliminating the need for subsequent adjustments. Step 2, Real-time Data Acquisition: Single-user scenarios utilize single-module acquisition, while multi-user scenarios utilize multi-module synchronous acquisition, continuously acquiring real-time sensational data and transmitting it to the data processing module. Step 3, Command Generation: The data processing module compares the real-time data with the preset range, determines the sensational state, and directly generates corresponding control commands. Step 4, Closed-Loop Control: The execution module receives commands and drives the device to operate until the sensational state remains within the comfortable range, forming a steady-state closed loop. During operation, various auxiliary commands can be received for temporary adjustments. No manual setting of environmental parameters is required throughout the process, and basic functions can operate stably even without AI algorithms.

[0012] Furthermore, after the system is networked with multiple devices, it can achieve fine-grained control of zones and collaborative operation of multiple devices based on user location, real-time tactile sensation, and regional environmental differences, ensuring a balanced tactile sensation across the entire area. After linking with various environmental auxiliary devices, it can comprehensively optimize tactile comfort. The subsequent addition of AI intelligent modules will not change the original core control logic. Beneficial effects

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. Broad technical scope and clear protection boundaries: This invention belongs to the underlying architecture innovation in the field of air conditioning technology, breaking through the traditional fixed parameter control logic. The core protection is a system and method for direct-drive somatosensory control, skipping environmental parameter settings, closed-loop somatosensory control, and multi-device full-domain collaboration. It does not limit hardware models, device brands, communication methods, or types of environmental control devices. It covers single-user / multi-user, single-device / multi-device, and full-scenario collaborative control modes. Compared with existing segmented scenario and single-device control solutions, it has a wider range of applicable scenarios and compatible devices. Based on this core principle, non-substantial innovative modifications and conventional device replacement solutions all fall within the scope of protection of this patent.

[0014] 2. Simple architecture, strong feasibility, and compatibility with future upgrades: The basic core functions of this invention can run independently and stably without relying on AI algorithms, big data training, and intelligent learning modules. It is realized by hardware linkage and basic logic control. The overall architecture is simplified and the control logic is intuitive. Compared with intelligent control solutions that rely on complex algorithms and big data, it has a lower implementation threshold and stronger operational stability. At the same time, the system architecture reserves intelligent upgrade interfaces, and AI learning and big data optimization modules can be added in the future without changing the core somatosensory direct drive control logic, taking into account both basic practicality and long-term technical extensibility.

[0015] 3. Strong adaptability to motion sensing and good versatility across all scenarios: It abandons the shortcomings of traditional methods that rely on controlling environmental parameters and passively adapting to users. It directly uses the real human body sensation as the core control target, adapting to the different physical differences of users and their motion sensing needs under different activity states, reducing the frequency of users manually adjusting the device. It is suitable for multiple scenarios such as home, car, office, and public spaces. It supports single-user exclusive use and multi-user sharing, single device independent control and multi-device zone collaborative control. With multi-sensory collection priority strategies and multi-mode auxiliary control units, it can meet diverse usage needs and improve the problems of poor motion sensing adaptation and unsatisfactory experience for multiple users in traditional control methods.

[0016] 4. Low implementation cost and wide compatibility: It does not require binding to specific brands or models of hardware. The motion sensing acquisition module can reuse existing smart bracelets, motion sensing patches, portable motion sensing terminals and other common general-purpose devices. The environmental control execution module can directly connect to existing household air conditioners, car air conditioners, floor heating, heaters, fresh air systems, air purifiers and other common environmental control devices. No structural modifications to existing environmental equipment are required. All hardware is commercially available. The adaptation cost for manufacturers and end users is low, and it has the prospect of large-scale application.

[0017] 5. Stable and reliable operation, suitable for a wide range of users: The basic control logic is simple, without complex algorithm calculations or big data processing links. The system has a low failure rate and timely response, with no risks related to algorithm failures, data delays, or privacy leaks. It is easy to operate, requiring no complicated learning process, and is suitable for the elderly, children, and other groups without experience in operating smart devices. There are no restrictions on usage scenarios or user groups. Detailed Implementation

[0018] The present invention is further illustrated below with reference to specific embodiments. These embodiments are only used to illustrate the technical solutions and do not constitute a limitation on the scope of protection. The core of the present invention is the underlying architecture and method of direct-drive motion sensing, parameter-free transfer, closed-loop control of motion sensing, and multi-device collaboration. All modifications based on this core architecture without substantial innovation are within the scope of protection of this patent. Example 1: Home Multi-User Omni-Sense Direct Drive Control Application

[0019] This embodiment is compatible with common environmental devices such as household air conditioners, humidifiers, and fresh air systems, and is suitable for multi-member family scenarios. Smart bracelets, motion-sensing patches, etc., can be used as motion-sensing data acquisition devices. The data processing module is integrated into a smart home gateway or wearable device, and the execution module uses a general wireless communication controller. All hardware is commercially available and requires no customization. When a user uses it for the first time, each family member calibrates and stores their own comfortable motion range. During daily use, single-user single-module and multi-user multi-module data are collected synchronously. The data processing module generates instructions according to the main user priority strategy, directly driving various devices to operate in coordination. When the sensation is too hot and dry, the air conditioner increases its cooling power and fan speed, and the humidifier starts simultaneously. When the sensation is too cold, the air conditioner increases its heating power and decreases its fan speed, and the devices start and stop as needed, maintaining a steady state after the sensation reaches the standard. During operation, temporary adjustments can be made through voice, remote control, APP, etc., without the need to set environmental parameters throughout, meeting the different motion needs of family members. Example 2: Application of Direct Drive Control for Vehicle Air Conditioning

[0020] This embodiment is optimized for in-vehicle air conditioning scenarios, using a portable motion-sensing patch as the data collection device, which is affixed to the inside of the user's clothing. The data processing module is integrated into the vehicle's central control expansion interface, and the execution module directly connects to the vehicle's air conditioning control board, without requiring modification to the original vehicle wiring. Users can pre-calibrate their comfort zone before getting into the vehicle. During driving, the motion-sensing patch collects data in real time, and the module quickly analyzes and directly drives the air conditioning to adjust the setting and fan speed, dynamically adapting to changes in the in-vehicle environment and driving conditions. This avoids the distraction of manually adjusting the air conditioning while driving, improving driving safety, and ensuring the comfort of passengers throughout the journey without requiring them to monitor the in-vehicle temperature. Example 3: Application of Direct Drive Control for Underfloor Heating / Heaters

[0021] This embodiment is compatible with heating devices such as underfloor heating and wall-mounted heaters. It uses a portable motion-sensing terminal as the data acquisition device, and the data processing and execution module is integrated into the device's power controller, requiring no modification to the original heating device structure. After the user calibrates their comfortable comfort range, the motion-sensing terminal collects data in real time, and the module directly controls the heating device's power and on / off state, avoiding discomfort caused by indoor temperature imbalances. The entire process revolves around human comfort adjustment, rather than a fixed indoor temperature, adapting to different user differences. Even the elderly, children, and other people with sensitive skin can use it comfortably, eliminating the hassle of repeatedly manually adjusting the settings.

Claims

1. A direct-drive environmental control system based on real-time human body sensation, characterized in that, The system comprises a human body sensation acquisition module, a data processing module, and an environmental control execution module, which are connected in sequence to form a direct closed-loop linkage system without intermediaries. The human body sensation acquisition module is used to collect the user's real-time body sensation signals. The data processing module has a built-in user-pre-calibrated comfort range for comparing real-time body sensation signals with the comfort range and directly generating environmental control execution commands. The environmental control execution module is used to drive external environmental adjustment devices to perform control actions. This system skips the manual setting of fixed environmental parameters and uses the user's real-time body sensation as the core control target. The basic core functions can be implemented without AI algorithms, big data training, and intelligent learning modules. The architecture is compatible with subsequent intelligent module upgrades and supports single-user / multi-user and single-device / multi-device full-domain collaborative control. Applicable scenarios include home, vehicle, office, and public spaces.

2. The direct-drive environmental control system according to claim 1, characterized in that, The human body motion sensing acquisition module can be a smart bracelet, motion sensing patch, or portable motion sensing terminal, etc., without limitation on device model, appearance, or wearing method. It is connected to the data processing module via wireless or wired communication. In multi-user scenarios, multiple human body motion sensing acquisition modules can be accessed simultaneously. The data processing module has a built-in priority control strategy, which can select the main user's motion sensing, the average motion sensing of multiple users, or the interval compromise motion sensing as the core control basis.

3. The direct-drive environmental control system according to claim 1, characterized in that, The data processing module stores the user's initial manually calibrated comfort range, requiring no subsequent machine learning optimization; it generates execution instructions solely through basic data comparison. The system also includes an auxiliary control unit, which comprises one or more of the following: a voice control unit, a remote control receiver unit, a mobile terminal APP communication unit, and a local control panel. The auxiliary control instructions can temporarily adjust the system's operating status without altering the core motion-sensing direct-drive architecture.

4. The direct-drive environmental control system according to claim 1, characterized in that, The environmental control execution module is compatible with various conventional environmental control equipment, including household air conditioners, vehicle air conditioners, floor heating, heaters, air coolers, air humidifiers, fresh air systems, air purifiers, etc. It is not limited by the brand and model of the equipment and does not require structural modification of existing environmental control equipment.

5. The direct-drive environmental control system according to claim 1, characterized in that, The human body motion sensing acquisition module and data processing module can be integrated into the same wearable device or deployed separately, with no significant lag in control response; the system supports zoned collaborative control of multiple environmental control devices, and each device can be manually configured in spatial orientation through mobile terminal APP, or automatically identify devices in the same system through Bluetooth, Wi-Fi, local area network, etc. to complete networking.

6. The direct-drive environmental control system according to claim 5, characterized in that, The system can be linked with air humidifiers, fresh air systems, air purifiers, etc. within the same system, and achieve integrated and coordinated control of temperature, humidity, airflow, and air purification of the entire environment based on real-time human body sensation signals.

7. A direct-drive environmental control method based on real-time human body sensation, applied to the direct-drive environmental control system according to any one of claims 1 to 6, characterized in that, Includes the following steps: Step 1, Motion Range Calibration: When using the device for the first time, users manually calibrate and set their own comfortable motion range, which is stored by the data processing module. In multi-user scenarios, each user's comfortable motion range can be stored separately. Step 2, Real-time Motion Acquisition: The human motion acquisition module continuously collects the user's real motion signals. In a single-user scenario, a single module operates, while in a multi-user scenario, multiple modules collect signals synchronously, and the signals are transmitted synchronously to the data processing module. Step 3: Control command generation. The data processing module compares the real-time somatosensory signal with the preset comfortable somatosensory range, determines the somatosensory state, and directly generates environmental control execution commands. Step 4: Closed-loop steady-state control. The environmental control execution module receives the command and drives the corresponding environmental adjustment equipment to operate and adjust until the user's somatosensory experience is maintained within the comfortable range, forming a closed-loop steady-state control. The entire process does not require manual setting of fixed environmental parameters, and the basic core functions can operate independently and stably without the assistance of AI algorithms. The architecture is compatible with subsequent intelligent module overlay upgrades.

8. The direct-drive environmental control method according to claim 7, characterized in that, The environmental control equipment adjusts the operating power, wind speed, gear, and start / stop status in real time according to the control instructions, without requiring repeated manual intervention from the user. During operation, the equipment can receive auxiliary control instructions from voice, remote control, APP, control panel, etc., to temporarily adjust the operating status.

9. The direct-drive environmental control method according to claim 7, characterized in that, The system supports multi-device network operation. Multiple environmental control devices can automatically identify the network or be manually configured with regional orientation via APP. Based on user location, real-time body sensation and regional environmental differences, it can achieve precise zoned control, multi-device collaborative operation, and overall comfortable and balanced body sensation.

10. The direct-drive environmental control system according to claim 1, characterized in that, The aforementioned motion-sensing direct-drive core logic, when implemented using any communication method, motion-sensing acquisition hardware, or environmental adjustment equipment, is based on the actual human body sensation for control, skipping the environmental parameter setting stage. The basic core functions can be implemented without the participation of AI and big data modules. The system's core logic is not affected by the subsequent addition of intelligent modules, and can operate independently in a stable state without AI assistance. Adding AI optimization modules does not change the original core control logic.