Intelligent building variable space system and control method thereof

Abstract

This application relates to the fields of intelligent building and Internet of Things (IoT) technology, specifically to an intelligent building variable space system and its control method. The intelligent building variable space system includes variable space components, sensor modules, and an IoT platform. The variable space components are used to dynamically adjust the spatial layout and upload their own operational status data in real time; the sensor modules are used to collect and upload spatial environmental data; the IoT platform includes a data processing unit, a linkage control unit, and a function expansion unit. The data processing unit analyzes data and identifies user space usage patterns based on machine learning algorithms, generating and issuing pre-adjustment instructions 5-15 minutes before a preset event occurs; the linkage control unit, according to preset linkage rules, responds to safety events or scene event trigger signals, synchronously controlling the variable space components and other intelligent devices to perform coordinated actions; the function expansion unit expands the system control modes and linkage rules by dynamically loading software function plugins.

Description

Technical Field

[0001] This application relates to the fields of smart building and Internet of Things technology, and more specifically, to a smart building variable space system and its control method. Background Technology

[0002] With the deep integration of IoT and AI technologies, smart homes are evolving from single-device control to spatial scenario-based and integrated services. The dynamic changes in modern family structures, work patterns, and lifestyle needs place higher demands on the flexibility of living spaces. While existing technologies aim to integrate various smart devices through IoT platforms, the following bottlenecks still exist: First, data interaction is one-way. Most systems adopt a simple "issue command - execute action" model. The status information of variable spatial components (such as smart partitions) cannot be fed back to the control center in real time and in a closed loop, resulting in the system's inability to perceive the actual spatial status and make accurate adjustments, leading to a delayed response.

[0003] Secondly, there is a lack of interconnected scenarios for equipment. Although lighting, security, and environmental control devices can be connected to the network independently, there is a lack of cross-system collaboration protocols and scenario-based linkage engines. For example, when a security alarm is triggered, partitions, lighting, and ventilation equipment cannot work together to create optimal conditions for escape; when returning home, the spatial layout, lighting, temperature, and humidity cannot be switched to a comfort mode with a single click.

[0004] Finally, the system functions are fixed and lack scalability. Traditional smart home systems rely on pre-installed hardware and firmware. When new life needs arise (such as working from home, elderly care, and pet care), it is often necessary to replace hardware or carry out complex system modifications, which is costly and time-consuming.

[0005] Chinese patent CN110725567B discloses a building structure based on the Internet of Things (IoT), which enables basic network control of devices, but lacks status feedback and intelligent prediction capabilities. US patent US20180191867A1 provides a general-purpose enterprise-level IoT data analysis platform, but it is not optimized for the specific scenario of the variability of building space. Existing research mostly focuses on individual device control or environmental parameter monitoring, and has not yet proposed a systematic solution for the intelligent variability of the "space" itself, or how to endow it with continuous evolution capabilities through software definition.

[0006] Therefore, there is an urgent need for a system and method that can achieve deep coupling of spatial components, environmental perception, and IoT platforms, and has the capabilities of intelligent pre-adjustment, scenario-based linkage, and software-based expansion, so as to improve the dynamic adaptability of building space to the needs of the entire life cycle. Summary of the Invention

[0007] In view of this, in order to solve the above-mentioned problems in the prior art, this application provides an intelligent building variable space system and its control method.

[0008] The embodiments of this application are implemented as follows: In a first aspect, this application provides an intelligent building variable space system, including variable space components, sensor modules and an Internet of Things platform; The variable space component is installed within the building space and is used to adjust the spatial layout according to the received adjustment instructions, and to upload its own operating status data to the Internet of Things platform in real time. The sensor module is installed in the building space to collect spatial environmental data and upload the spatial environmental data to the Internet of Things platform in real time. The IoT platform is communicatively connected to the variable space component and the sensor module, respectively, and is used to receive the operating status data and the space environment data, and to send the adjustment command to the variable space component. The IoT platform includes a data processing unit, a linkage control unit, and a function expansion unit. The data processing unit is connected to the variable space component and the sensor module for receiving and analyzing the operating status data and the space environment data, identifying user space usage patterns based on a preset machine learning algorithm, and generating adjustment instructions based on the identification results and a preset adjustment strategy. The linkage control unit is connected to the data processing unit and the variable space component respectively, and is used to synchronously send cooperative control commands to the variable space component in response to a trigger signal according to a preset linkage rule. The function expansion unit is connected to the linkage control unit for storing and managing function plugins. The function plugins can be dynamically loaded into the linkage control unit to expand or update the preset linkage rules.

[0009] In one possible implementation, the data processing unit is configured as follows: Within a time window of 5 to 15 minutes before a preset event occurs, the adjustment command is sent to the variable space component, the preset event being determined based on the user's schedule.

[0010] In one possible implementation, the linkage control unit has preset safety event linkage rules; When the trigger signal is an alarm signal from a safety detector, the linkage control unit sends an instruction to the variable space component to retract to a preset safe position based on the safety event linkage rules, and simultaneously pushes emergency reminder information to the user terminal.

[0011] In one possible implementation, the safety detector includes a smart smoke detector or a smart gas detector; The linkage control unit is also used to synchronously control the exhaust fan to start and the gas valve to close when the coordinated control command is sent.

[0012] In one possible implementation, the linkage control unit also has preset scene linkage rules; When the trigger signal is an opening signal from the smart door lock, the linkage control unit synchronously sends collaborative control commands to the variable space component, lighting equipment, curtain equipment and temperature control equipment based on the scene linkage rules.

[0013] In one possible implementation, the functional plugin includes a spatial pattern plugin; The function extension unit receives the function plugin selected by the user through a network interface, and adds the control rules provided by the loaded function plugin to the preset linkage rules of the linkage control unit.

[0014] In one possible implementation, the space mode plugin includes a home office mode plugin, a pet activity mode plugin, or an elderly care mode plugin.

[0015] In one possible implementation, the IoT platform further includes an operation and maintenance management unit; The operation and maintenance management unit is connected to the variable space component data and is used to analyze the wear status of the variable space component based on the operation status data, and generate maintenance reminder information when the predicted remaining life of the component is lower than a preset threshold; the preset threshold is 5% to 10% of the component's design life.

[0016] Secondly, this application provides a control method for a variable space system in an intelligent building, comprising: It receives real-time operational status data from variable space components and spatial environment data from sensor modules; The system uses machine learning algorithms to fuse and analyze the running status data and the spatial environment data to identify user space usage patterns. Based on the user space usage patterns and preset adjustment strategies, it generates adjustment instructions for the variable space components and executes the adjustment instructions within a time window of 5 to 15 minutes before the occurrence of a preset event. Listen for preset trigger events. When a preset trigger event is detected, determine a list of associated devices according to the preset linkage rules corresponding to the preset trigger event, and synchronously send collaborative control commands to the variable space component and other intelligent devices in the list of associated devices. The system receives and dynamically loads user-provided functional plugins through a software interface, and updates or expands the preset linkage rules according to the control rules defined by the functional plugins.

[0017] In one possible implementation, the preset triggering events include security events and scenario events; When the preset triggering event is a safety-related event, the collaborative control instructions include instructions to control the variable space component to retract to a safe position and instructions to push emergency information to the user terminal, and the execution priority of the collaborative control instructions is the highest.

[0018] The technical solution provided in this application can achieve at least the following beneficial effects: This application provides an intelligent building variable space system and its control method. By constructing a unified control architecture with an Internet of Things platform as the core, integrating variable space components, multi-dimensional sensors and various intelligent devices, and combining user behavior analysis based on machine learning and an extensible linkage rule engine, it effectively solves long-standing problems in traditional buildings such as fixed spatial layout, isolated equipment information, and system functions that are difficult to adapt to dynamic needs.

[0019] This intelligent building variable space system and its control method establish a two-way real-time data channel between variable space components and an IoT platform, enabling the spatial status to be perceived and fed back. Combined with a predictive adjustment mechanism, it proactively completes space configuration before actual user needs arise, transforming space adjustment from a passive response to an active service, significantly improving response speed and user experience. Furthermore, through preset linkage control rules, it breaks down control barriers between lighting, security, and environmental control devices, achieving one-click collaborative response across devices and scenarios. It also introduces software-based functional expansion units, supporting the dynamic loading of new control modes in the form of plug-ins. This allows the system to flexibly adapt to the changing needs of different stages of the family lifecycle without hardware modifications, achieving a "soft" upgrade and sustainable evolution of system functions. The operation and maintenance management unit, through continuous monitoring of component operating status and lifespan prediction, realizes a shift from "reactive maintenance" to "predictive maintenance," helping to reduce maintenance costs and extend the overall lifespan of equipment. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1This is a schematic diagram of the structure of an intelligent building variable space system, as illustrated in an exemplary embodiment of this application. Figure 2 This is a flowchart illustrating an exemplary embodiment of a control method for a variable space system in an intelligent building.

[0022] Figure label: 1. Variable space component; 2. Sensor module; 3. Internet of Things platform; 31. Data processing unit; 32. Linkage control unit; 33. Function expansion unit; 34. Operation and maintenance management unit. Detailed Implementation

[0023] To make the objectives, implementation methods and advantages of this application clearer, the exemplary implementation methods of this application will be clearly and completely described below with reference to the accompanying drawings of the exemplary embodiments of this application. Obviously, the exemplary embodiments described are only some embodiments of this application, and not all embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0024] It should be noted that the brief descriptions of terms in this application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of this application. Unless otherwise stated, these terms should be understood in their ordinary and common meaning.

[0025] The terms "first," "second," "third," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar or related objects or entities, and do not necessarily imply a specific order or sequence, unless otherwise specified. It should be understood that such terms are interchangeable where appropriate.

[0026] The terms “comprising” and “having”, and any variations thereof, are intended to cover but not exclude inclusion, for example, a product or device that includes a range of components is not necessarily limited to all of the components that are clearly listed, but may include other components that are not clearly listed or that are inherent to such product or device.

[0027] Next, the technical solutions of this application and how they solve the aforementioned technical problems will be described in detail through embodiments and in conjunction with the accompanying drawings. The embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of this application.

[0028] In one exemplary embodiment, such as Figure 1 As shown, a smart building variable space system is provided. In this embodiment, it may include variable space components, sensor modules, and an Internet of Things platform. The variable space component is installed within the building space and is used to adjust the spatial layout according to the received adjustment instructions, and to upload its own operating status data to the Internet of Things platform in real time. The sensor module is installed in the building space to collect spatial environmental data and upload the spatial environmental data to the Internet of Things platform in real time. The IoT platform is communicatively connected to the variable space component and the sensor module, respectively, and is used to receive the operating status data and the space environment data, and to send the adjustment command to the variable space component. The IoT platform includes a data processing unit, a linkage control unit, and a function expansion unit. The data processing unit is connected to the variable space component and the sensor module for receiving and analyzing the operating status data and the space environment data, identifying user space usage patterns based on a preset machine learning algorithm, and generating adjustment instructions based on the identification results and a preset adjustment strategy. The linkage control unit is connected to the data processing unit and the variable space component respectively, and is used to synchronously send cooperative control commands to the variable space component in response to a trigger signal according to a preset linkage rule. The function expansion unit is connected to the linkage control unit for storing and managing function plugins. The function plugins can be dynamically loaded into the linkage control unit to expand or update the preset linkage rules.

[0029] In one embodiment, the intelligent building variable space system comprises three layers: Execution and Perception Layer: Located inside the building space, this layer includes variable space components and sensor modules. It is responsible for adjusting the physical space and collecting environmental data.

[0030] Network transmission layer: Using wired or wireless communication protocols, it uploads data from the execution and perception layers to the control center and issues control commands.

[0031] Platform and Control Layer: This refers to the IoT platform, which is typically deployed on a home gateway, local server, or cloud. It includes core software modules such as data processing unit, linkage control unit, function expansion unit, and operation and maintenance management unit, and is responsible for data analysis, decision generation, and command scheduling.

[0032] In one embodiment, the specific implementation of the intelligent building variable space system includes: Variable space component 1: It can be a motor-driven folding, sliding or roller shutter partition system. The component integrates a controller, motor drive module, position encoder and communication module. Its operating status data includes at least: real-time extension and retraction position, motor operating current, cumulative number of runs, fault codes, etc. The component actively uploads this status data to the Internet of Things platform through its communication module at a frequency of not less than once per second to form a status feedback stream. At the same time, it continuously monitors the network, receives and parses the adjustment commands from the Internet of Things platform and drives the motor to execute them.

[0033] Sensor Module 2: This module is a distributed sensor network. In practice, sensor groups are deployed in key areas such as the living room, bedroom, and study. Specifically, human activity sensors and light sensors are installed on the living room ceiling; temperature and humidity sensors are installed 1.5 meters above the ground in the center of the room; and PM2.5 sensors are installed near the air conditioner return vent. These sensors collect spatial environmental data every 5 to 10 seconds, package it, and send it to the IoT platform via a wireless gateway.

[0034] IoT Platform 3: The platform software is developed using a microservice architecture, with each unit deployed as an independent service.

[0035] The Internet of Things (IoT) platform includes: Data processing unit 31: This unit serves as a data aggregation point, receiving and subscribing to data streams from variable spatial components and all sensors through message middleware. It has a built-in real-time stream processing engine that performs timestamp alignment, filtering, and formatting on multi-source heterogeneous data, providing a clean and unified data source for subsequent analysis.

[0036] Linkage Control Unit 32: This unit includes an editable rule engine and a device registry. The rule engine stores preset linkage rules defined in the form of "event-condition-action". The device registry records the unique identifier, type, capability and network address of all connected smart devices. When the rule engine is triggered, it queries the list of associated devices from the device registry according to the rules and sends collaborative control commands synchronously by calling the device control interface in parallel.

[0037] Functional Extension Unit 33: This unit provides a plugin management framework, including a plugin repository, a security verification module, and a loader. Functional plugins exist in the form of compressed packages, containing description files, control logic scripts, and resource files. Users access the plugin market through a mobile APP, download the required plugins, and then the security verification module of the functional extension unit verifies their digital signatures and compatibility. Subsequently, the loader dynamically decompresses and injects them into the system runtime environment to instantly extend new functions.

[0038] In one possible implementation, the data processing unit is configured as follows: Within a time window of 5 to 15 minutes before a preset event occurs, the adjustment command is sent to the variable space component, the preset event being determined based on the user's schedule.

[0039] In one embodiment, the data processing unit integrates a machine learning algorithm, which uses a long short-term memory network, and the implementation steps are as follows: Data preparation: Collect at least 30 days of historical data, including time-series status data, environmental data, and user manual intervention records, using features such as "time stamp", "whether it is a working day", and "room occupant status".

[0040] Model training: Using the location of the partition target within the next 30 minutes as the prediction target, an LSTM model was used for training. The training parameters were set as follows: learning rate 0.001, batch size 32, and number of recurrent neural network layers 2. After training, the model was able to learn complex patterns such as "at 9:00 am on a weekday, the probability of the user being in the study is greater than 85%, and the corresponding partition target location is 2.8 meters away".

[0041] Prediction and Instruction Generation: During runtime, the model continuously predicts space requirements for a future period based on the current time and recent data. When a preset event (such as "Video Conference: 10:00-11:00" synchronized from the user's mobile phone calendar) is predicted to occur, the data processing unit will generate an adjustment instruction to "expand the partition to 3 meters at 9:45" based on the prediction results and preset adjustment strategies (such as "completely independent space is required before the meeting"). The time window (9:45 to 10:00, a total of 15 minutes) can be configured according to the event type, and is usually set between 5 and 15 minutes to balance adequate preparation and avoid premature interruption.

[0042] In one possible implementation, the linkage control unit has preset safety event linkage rules; When the trigger signal is an alarm signal from a safety detector, the linkage control unit sends an instruction to the variable space component to retract to a preset safe position based on the safety event linkage rules, and simultaneously pushes emergency reminder information to the user terminal.

[0043] In one possible implementation, the safety detector includes a smart smoke detector or a smart gas detector; The linkage control unit is also used to synchronously control the exhaust fan to start and the gas valve to close when the coordinated control command is sent; The linkage control unit also has preset scene linkage rules; When the trigger signal is an opening signal from the smart door lock, the linkage control unit synchronously sends collaborative control commands to the variable space component, lighting equipment, curtain equipment and temperature control equipment based on the scene linkage rules.

[0044] In one embodiment, the preset linkage rule base of the linkage control unit includes security event linkage rules and scene linkage rules.

[0045] The trigger signal for the safety event linkage rule is an alarm signal from a smart smoke detector or smart gas detector. These detectors are independently deployed. Once the smoke or gas concentration exceeds the threshold, they immediately send a high-priority alarm message via a dedicated wireless protocol. After receiving the alarm signal, the IoT platform immediately identifies it as the highest priority trigger signal. The rule engine matches the corresponding safety event linkage rule. The list of associated devices for this rule includes: all variable space components, whole-house exhaust fans, gas main valve solenoid switch, audible and visual alarms, and the user's mobile APP. The engine simultaneously sends instructions to all devices in the list: 1) Send an "emergency retraction to preset safe position" instruction to all variable space components; 2) Send a "full speed start" instruction to the exhaust fan; 3) Send a "close" instruction to the gas valve; 4) Send a "start" instruction to the audible and visual alarm; 5) Push emergency reminder information containing the location, time, and suggested escape route to the user terminal.

[0046] The trigger signal for the scene linkage rule is the "legal opening" signal of the smart door lock. This signal triggers the "Homecoming Mode" scene rule, whose associated device list is preset to: the variable space component at the entrance door, the main light in the living room, the electric curtains in the living room, and the air conditioner in the living room. The engine sends the following commands simultaneously: 1) instruct the variable space component to "shrink to the preset open state"; 2) instruct the main light in the living room to "turn on to 70% brightness and 3000K color temperature"; 3) instruct the electric curtains to "open to 50%"; 4) instruct the air conditioner to "switch to automatic mode and set the target temperature to 26℃".

[0047] In one possible implementation, the functional plugin includes a spatial pattern plugin; The function extension unit receives the function plugin selected by the user through a network interface, and adds the control rules provided by the loaded function plugin to the preset linkage rules of the linkage control unit.

[0048] In one possible implementation, the space mode plugin includes a home office mode plugin, a pet activity mode plugin, or an elderly care mode plugin.

[0049] In one embodiment, the functional expansion unit can fulfill system expansion requirements, and its specific implementation is as follows: Plugin Forms and Loading: Functional plugins, especially space mode plugins, are standard software packages that conform to platform specifications. For example, the "Home Office Mode Plugin" contains a JSON-formatted configuration file that defines new linkage rules: "When the user is detected to be in 'focused work' mode, automatically turn off the audio output of the smart speaker in the study area." After the user selects and downloads the plugin through the "Plugin Store" in the APP, the functional extension unit receives it through the network interface, verifies it, and loads it into the system. The loader parses the plugin configuration and registers the control logic in it into the rule engine of the linkage control unit, thereby updating the preset linkage rules.

[0050] Examples of specific plugin types: Pet Activity Mode Plugin: The rule is defined as "when the human activity sensor detects activity in the living room, but the smart door lock shows that no one is home, it is determined to be pet activity, and the partition is kept half open."

[0051] Elderly care mode plugin: The defined rule is "When the bedroom sensor detects that the elderly person has been out of bed for more than 15 minutes at night and their activity area is abnormal, the partition leading to the bathroom and the night light on the path will be turned on automatically, and a notification will be pushed to the caregiver's mobile phone."

[0052] In one possible implementation, the IoT platform further includes an operation and maintenance management unit; The operation and maintenance management unit is connected to the variable space component data and is used to analyze the wear status of the variable space component based on the operation status data, and generate maintenance reminder information when the predicted remaining life of the component is lower than a preset threshold; the preset threshold is 5% to 10% of the component's design life.

[0053] In one embodiment, the IoT platform also includes an operation and maintenance management unit 34, which is responsible for system health management. The specific implementation of this unit is as follows: Data connection and analysis: This unit continuously receives and stores operating status data uploaded by the variable space components, especially motor current curves and number of runs.

[0054] Wear condition analysis and life prediction: Establish component wear models. For example, by analyzing the fluctuation characteristics of motor current, the change in the friction coefficient of the guide rail can be calculated. By accumulating the number of runs, the fatigue degree of mechanical components can be evaluated. The built-in algorithm of the unit compares and predicts these data with the design life of the components.

[0055] Maintenance reminder: When the algorithm predicts that the remaining lifespan of a component is lower than a preset threshold, the operation and maintenance management unit will automatically generate a maintenance reminder message and send it to the user terminal via message push service. The content may be "The wear of the electric partition slide rail in the study is approaching the warning value. It is recommended to contact maintenance."

[0056] Corresponding to the aforementioned embodiments of the intelligent building variable space system, and employing the same technical concept, this application also provides embodiments of the control method for the intelligent building variable space system.

[0057] In one exemplary embodiment, such as Figure 2 As shown, the intelligent building variable space system control method may include the following steps: Step 100: Data Reception Step. The IoT platform continuously receives two data streams in parallel: one is the real-time operating status data stream from the variable space components; the other is the spatial environment data stream from the sensor module.

[0058] Step 200: Intelligent pre-adjustment step. The data processing unit calls the trained machine learning model to perform fusion analysis on the data received in step 100 and identify the user's space usage pattern. For example, it identifies that "users often entertain in the living room on weekend afternoons." Based on this pattern and the preset adjustment strategy (such as "entertainment mode requires open space"), it generates an adjustment instruction to "shrink the living room partition." The system will wait until 15 minutes before the preset event (such as "home theater time" in the schedule) begins (i.e., within the time window) before sending the instruction to the variable space component, achieving seamless preparation.

[0059] Step 300: Linkage control step, the platform continuously listens for preset trigger events.

[0060] Preset trigger events include: Safety-related events: If a fire alarm is received, once detected, the highest priority rule will be matched immediately. The core of the coordinated control command is to control the variable space components to retract to a safe position and push emergency information. Its execution priority is the highest and it can interrupt other ongoing adjustment tasks.

[0061] Scenario-based events: If a "leaving home" signal is received, after triggering, the associated devices are queried according to the rules, and instructions to turn off or enter energy-saving mode are sent simultaneously.

[0062] Step 400: Function Expansion Step. The system opens up the software interface to allow the import of new function plugins. For example, after the user installs the "Energy Saving Mode Plugin", the new rules defined by the plugin (such as "Automatically adjust the partitions of non-primary activity areas to insulation mode during peak electricity price periods") are loaded and updated to the system's preset linkage rule library, and the system then has a new energy-saving strategy.

[0063] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially as indicated, these steps are not necessarily executed in the indicated order. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps.

[0064] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0065] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A smart building variable space system, characterized in that, Includes variable space components, sensor modules, and IoT platforms; The variable space component is installed within the building space and is used to adjust the spatial layout according to the received adjustment instructions, and to upload its own operating status data to the Internet of Things platform in real time. The sensor module is installed in the building space to collect spatial environmental data and upload the spatial environmental data to the Internet of Things platform in real time. The IoT platform is communicatively connected to the variable space component and the sensor module, respectively, and is used to receive the operating status data and the space environment data, and to send the adjustment command to the variable space component. The IoT platform includes a data processing unit, a linkage control unit, and a function expansion unit. The data processing unit is connected to the variable space component and the sensor module for receiving and analyzing the operating status data and the space environment data, identifying user space usage patterns based on a preset machine learning algorithm, and generating adjustment instructions based on the identification results and a preset adjustment strategy. The linkage control unit is connected to the data processing unit and the variable space component respectively, and is used to synchronously send cooperative control commands to the variable space component in response to a trigger signal according to a preset linkage rule. The function expansion unit is connected to the linkage control unit for storing and managing function plugins. The function plugins can be dynamically loaded into the linkage control unit to expand or update the preset linkage rules.

2. The intelligent building variable space system as described in claim 1, characterized in that, The IoT platform is configured to issue the adjustment command to the variable space component within a time window of 5 to 15 minutes before the occurrence of a preset event; wherein the data processing unit is used to generate the adjustment command, and the preset event is determined based on the user's schedule.

3. The intelligent building variable space system as described in claim 1, characterized in that, The linkage control unit is pre-set with safety event linkage rules; When the trigger signal is an alarm signal from a safety detector, the linkage control unit sends an instruction to the variable space component to retract to a preset safe position based on the safety event linkage rules, and simultaneously pushes emergency reminder information to the user terminal.

4. The intelligent building variable space system as described in claim 3, characterized in that, The safety detectors include intelligent smoke detectors or intelligent gas detectors; The linkage control unit is also used to synchronously control the exhaust fan to start and the gas valve to close when the coordinated control command is sent.

5. The intelligent building variable space system as described in claim 1, characterized in that, The linkage control unit also has preset scene linkage rules; When the trigger signal is an opening signal from the smart door lock, the linkage control unit synchronously sends collaborative control commands to the variable space component, lighting equipment, curtain equipment and temperature control equipment based on the scene linkage rules.

6. The intelligent building variable space system as described in claim 1, characterized in that, The functional plugins include a spatial mode plugin; The function extension unit receives the function plugin selected by the user through a network interface, and adds the control rules provided by the loaded function plugin to the preset linkage rules of the linkage control unit.

7. The intelligent building variable space system as described in claim 6, characterized in that, The space mode plugins include home office mode plugins, pet activity mode plugins, or elderly care mode plugins.

8. The intelligent building variable space system as described in claim 1, characterized in that, The IoT platform also includes an operation and maintenance management unit; The operation and maintenance management unit is connected to the variable space component for analyzing the wear status of the variable space component based on the operating status data, and generating maintenance reminder information when the predicted remaining lifespan of the component is lower than a preset threshold. The preset threshold is 5% to 10% of the component's design life.

9. A control method for a variable space system in an intelligent building, characterized in that, include: It receives real-time operational status data from variable space components and spatial environment data from sensor modules; The system uses machine learning algorithms to fuse and analyze the running status data and the spatial environment data to identify user space usage patterns. Based on the user space usage patterns and preset adjustment strategies, it generates adjustment instructions for the variable space components and controls the variable space components to execute the adjustment instructions within a time window of 5 to 15 minutes before the occurrence of a preset event. Listen for preset trigger events. When a preset trigger event is detected, determine a list of associated devices according to the preset linkage rules corresponding to the preset trigger event, and synchronously send collaborative control commands to the variable space component and other intelligent devices in the list of associated devices. The system receives and dynamically loads user-provided functional plugins through a software interface, and updates or expands the preset linkage rules according to the control rules defined by the functional plugins.

10. The intelligent building variable space system control method as described in claim 9, characterized in that, The preset trigger events include security events and scenario events; When the preset triggering event is a safety-related event, the collaborative control instructions include instructions to control the variable space component to retract to a safe position and instructions to push emergency information to the user terminal, and the execution priority of the collaborative control instructions is the highest.

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