Control method, device, equipment, medium and program product applied to a multi-contact system

Abstract

The application provides a control method, device, equipment, medium and program product applied to a multi-contact system, and relates to the multi-contact system control technology. The method comprises the following steps: obtaining a difference between a target demand temperature and a current actual temperature of a region corresponding to each indoor terminal device at a current time, and a life scene associated with the region; calculating refrigerant demand information of each indoor terminal device according to the difference compensated based on the life scene; adjusting a valve opening degree of each indoor terminal device according to the refrigerant demand information based on a current device priority of each indoor terminal device; and adjusting a host device according to total refrigerant demand information of each indoor terminal device, so that an output load of the host device matches the total refrigerant demand information. The method is used to improve the control flexibility.

Description

Technical Field

[0001] This application relates to multi-connected system control technology, and more particularly to a control method, device, equipment, medium, and program product applied to multi-connected systems. Background Technology

[0002] With the improvement of living standards, individual refrigerant multi-split systems have been widely used in residential and small commercial spaces due to their flexible design and strong independent controllability. The system includes a variable frequency outdoor unit, multiple indoor terminal devices (such as fresh air handling modules, capillary radiant modules, ducted indoor units, etc.), refrigerant piping, an intelligent control system, and a sensor network.

[0003] Currently, most common control methods for individual household refrigerant multi-split systems are based on classic PID control logic. The system works by detecting the current actual temperature in the area where each indoor terminal unit is located, comparing it to the user-set target temperature, and adjusting the opening of the electronic expansion valve of the corresponding terminal unit based on the difference, thereby changing the refrigerant flow and achieving temperature regulation. Simultaneously, the system main unit adjusts its output load according to the total current demand of all terminals.

[0004] However, the above control methods have the drawback of poor flexibility, which can easily lead to problems such as insufficient refrigerant resources or insufficient performance of terminal equipment. Summary of the Invention

[0005] This application provides control methods, devices, equipment, media, and program products for use in multi-connected systems, in order to improve control flexibility.

[0006] In a first aspect, embodiments of this application provide a control method applied to a multi-connected system, the method comprising:

[0007] Obtain the difference between the target required temperature and the current actual temperature in the area corresponding to each indoor terminal device at the current moment, as well as the living scenario associated with the area;

[0008] Based on the difference after compensation based on the living scenario, calculate the refrigerant demand information of each of the indoor terminal devices;

[0009] Based on the current device priority of each indoor terminal device, adjust the valve opening of each indoor terminal device according to the refrigerant demand information;

[0010] Based on the total refrigerant demand information of each indoor terminal device, the main unit is adjusted to match the output load of the main unit with the total refrigerant demand information.

[0011] In one possible implementation, the life scenario includes at least one of a resting scenario, an exercise scenario, and a scenario away from home.

[0012] In one possible implementation, calculating the refrigerant demand information for each indoor terminal device based on the difference after compensation for the living scenario includes:

[0013] If the living scenario is a resting scenario, then the difference is reverse compensated, so that the difference is reduced towards zero by a preset reverse compensation value, and the refrigerant demand information of each indoor terminal device is calculated based on the compensated difference.

[0014] If the living scenario is a sports scenario, then the difference is positively compensated, and the difference is increased by a preset positive compensation value in the direction of increase. Based on the compensated difference, the refrigerant demand information of each indoor terminal device is calculated.

[0015] If the living scenario is the away-from-home scenario, then the difference is zero-compensated, the difference is set to zero, and the refrigerant demand information of each indoor terminal device is calculated according to the requirement to put each of the indoor terminal devices into a shut-off or minimum energy consumption operation state.

[0016] In one possible implementation, calculating the refrigerant demand information for each indoor terminal device based on the difference after compensation for the living scenario includes:

[0017] For any indoor terminal device, if the target area contains only one indoor terminal device, the load required by the target area per unit time is calculated based on the compensated difference, the area parameter of the target area and the environmental heat transfer coefficient.

[0018] Based on the load and the heat exchange per unit flow of the refrigerant in the system, the refrigerant demand flow rate at the current moment is calculated to obtain the refrigerant demand information.

[0019] If the target area contains at least two indoor terminal devices, then the unified compensated difference of the target area is determined based on the compensated difference corresponding to each indoor terminal device in the target area.

[0020] Based on the difference after unified compensation, the area parameters of the target area and the environmental heat transfer parameters, calculate the total regional load required by the target area per unit time.

[0021] Based on the proportion of the indoor terminal equipment's adjustment capacity, the total load of the area, and the unit flow heat exchange of the system, the refrigerant demand flow of the indoor terminal equipment is calculated to obtain the refrigerant demand information.

[0022] In one possible implementation, the calculation of the refrigerant demand flow rate at the current moment to obtain the refrigerant demand information includes:

[0023] Based on the duration of the described living scenario and the historical load change curves for the same period, the trend of refrigerant demand flow rate changes within a preset time period is predicted.

[0024] Based on the trend of refrigerant demand flow, the total future forecast flow of the region is generated. Combined with the adjustment capacity ratio of indoor terminal devices, the total future forecast flow of the region is allocated to each indoor terminal device to obtain the future forecast flow of each indoor terminal device.

[0025] For any indoor terminal device, the refrigerant demand information is generated based on the current refrigerant demand flow rate and the future predicted flow rate.

[0026] In one possible implementation, the device priority is dynamically determined based on at least one of the following: the living scenario, functional attributes, real-time environmental risks, energy efficiency, user needs, and system operating status.

[0027] In one possible implementation, the method further includes:

[0028] If the priority is determined based on the life scenario, then the life scenario is mapped to a preset scenario priority coefficient, wherein the resting scenario corresponds to the first coefficient, the exercise scenario corresponds to the second coefficient, and the away-from-home scenario corresponds to the third coefficient, and the first coefficient is the largest and the third coefficient is the smallest;

[0029] If the priority is determined based on the functional attributes, then the basic priority weights are allocated according to the functional necessity level of the region, wherein the weight of residential space is higher than that of activity space, and the weight of activity space is higher than that of auxiliary space.

[0030] If the priority is determined based on the real-time environmental risk, then when the temperature and humidity of the area exceed the safety threshold, the emergency priority is triggered and set to the top. After the emergency environmental risk is eliminated, the priority is restored to the original priority.

[0031] If the priority is determined based on the energy consumption efficiency, then the marginal benefit of load adjustment in each region is calculated, and the region with higher marginal benefit is given priority. The marginal benefit is the improvement in temperature and humidity per unit of energy consumption.

[0032] If the priority is determined based on the user's needs, the priority instruction input by the user through the interactive terminal is converted into a corresponding weight value, and the user's pinning instruction corresponds to the highest weight value.

[0033] If the priority is determined based on the system's operating status, it is dynamically adjusted according to the equipment health and pipeline pressure parameters. Equipment with low health is given a lower priority, and areas with abnormal pipeline pressure are given a lower priority.

[0034] In one possible implementation, the method further includes:

[0035] Initial weights are set for at least two of the following: the life scenario, the functional attribute, the real-time environmental risk, the energy efficiency, the user needs, and the system operating status.

[0036] The state parameters of each dimension are collected in real time, and the initial weights of each dimension are dynamically updated based on the state parameters.

[0037] After normalizing the state parameters, the priority of each indoor terminal device is obtained by weighted summation based on the updated initial weights.

[0038] Secondly, embodiments of this application provide a control device for a multi-connection system, the device comprising:

[0039] The acquisition module is used to acquire the difference between the target required temperature and the current actual temperature of the corresponding area of ​​each indoor terminal device at the current moment, as well as the living scenario associated with the area.

[0040] The calculation module is used to calculate the refrigerant demand information of each of the indoor terminal devices based on the difference after compensation based on the living scenario.

[0041] The control module is used to adjust the valve opening of each indoor terminal device according to the refrigerant demand information based on the current device priority of each indoor terminal device.

[0042] The control module is also used to adjust the main unit to match the output load of the main unit with the total refrigerant demand information based on the total refrigerant demand information of each indoor terminal device.

[0043] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor;

[0044] The memory stores computer-executed instructions;

[0045] The processor executes computer execution instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0046] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0047] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0048] This application provides a control method, device, equipment, medium, and program product for multi-split systems. The method introduces a living scenario as a core decision variable to construct a dynamic adaptive collaborative control strategy. Specifically, it first acquires the temperature difference of each indoor terminal device and its associated living scenario, and then intelligently compensates for the temperature difference based on the living scenario, thereby quantifying user behavior patterns into precise refrigerant demand. Subsequently, it allocates refrigerant flow according to the dynamic priority of each indoor terminal device, and uses the calculated total demand as a setpoint to adjust the output load of the main unit in reverse. Through this setting, the system transforms from responding to fixed physical parameters to adapting to dynamic user needs, effectively improving control flexibility and enhancing the system's adaptability to complex and changing user demands, ultimately avoiding refrigerant resource waste or insufficient terminal device performance. Attached Figure Description

[0049] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0050] Figure 1 This application provides an illustration of a control method for a multi-connected system, as shown in the embodiments of this application.

[0051] Figure 2 A flowchart illustrating a control method for a multi-connected system provided in an embodiment of this application;

[0052] Figure 3 An application example diagram of a control method for a multi-connected system provided in this application embodiment;

[0053] Figure 4 A schematic diagram of a control device applied to a multi-connection system is provided in an embodiment of this application;

[0054] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0055] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0056] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0057] First, let me explain the terms used in this application:

[0058] Multi-split system: refers to an air conditioning system that connects one outdoor unit to multiple indoor terminal units through refrigerant piping, enabling independent cooling or heating for multiple areas. Its core feature is that it meets the personalized temperature and humidity requirements of different areas through variable frequency technology and refrigerant flow regulation.

[0059] Indoor terminal equipment: refers to equipment installed indoors and connected to the outdoor unit via refrigerant piping, used to regulate indoor temperature and humidity or treat air quality, including but not limited to fresh air heat exchange modules, capillary radiation modules, duct-type indoor units, etc., which can independently receive control commands and adjust their own operating status.

[0060] Main unit: refers to the equipment installed outdoors as the core of the energy supply of the multi-split system. It mainly includes core components such as variable frequency compressor, condenser, and electronic expansion valve. It can dynamically adjust the output of cooling or heating according to the total refrigerant demand of indoor terminal equipment to provide energy support for system operation.

[0061] With the increasing demand for indoor environmental comfort, energy efficiency, and personalized control in residential and small commercial spaces, individual-unit multi-split refrigerant systems have become widely used. Their design flexibility, with a single outdoor unit adapting to multiple terminal units in different areas, avoids the space waste associated with installing separate outdoor units in multiple areas. Furthermore, relying on the independent temperature control capabilities of each terminal unit, they can meet the differentiated temperature and humidity requirements of different areas (such as the master bedroom and living room of a residence, and the showroom and office areas of a small shop).

[0062] The core components of a household-type refrigerant multi-split system include: a variable frequency outdoor unit integrating a variable frequency compressor, condenser, and core control module, serving as the energy supply core for the entire system; multiple indoor terminal devices adapted to different scenarios, including not only common duct-type indoor units, but also a fresh air handling module (corresponding to the fresh air refrigerant pipe) responsible for air quality treatment and temperature and humidity regulation, and a capillary radiation module (corresponding to the capillary manifold) that achieves constant temperature without drafts; a sealed refrigerant pipeline connecting the outdoor unit and indoor terminals for refrigerant transmission; and an intelligent control system and sensor network consisting of a central controller, temperature and humidity sensors for each area, and terminal status monitoring sensors, which can collect environmental parameters and equipment operation data in real time to support system regulation.

[0063] Currently, most common control methods for individual household multi-split refrigerant systems are based on classic PID control logic. Specifically, the system uses temperature and humidity sensors in the corresponding areas of each indoor terminal unit to collect the current actual temperature in real time; it calculates the difference between the actual temperature and the target temperature set by the user via the temperature control panel or app to obtain the temperature deviation value; based on the PID algorithm, it performs proportional, integral, and derivative operations on this deviation value and outputs the corresponding control signal to adjust the opening of the electronic expansion valve of the terminal unit.

[0064] Specifically, if the actual temperature is higher than the target temperature (cooling is required), the valve opening is increased to increase refrigerant flow and accelerate cooling; if the actual temperature is lower than the target temperature (heating is required), the valve opening is decreased to reduce refrigerant flow and slow down heating, thus achieving closed-loop temperature control for a single area. Simultaneously, the outdoor unit uses sensors to collect real-time refrigerant flow demands from all indoor terminals (such as flow signals corresponding to the opening of the electronic expansion valves at each terminal), calculates the current total refrigerant demand, and then dynamically adjusts the inverter compressor speed, condenser fan power, etc., to change the cooling / heating output of the unit, ensuring that the unit load is basically matched with the total demand of the terminals.

[0065] However, the above control methods can only execute preset and fixed control logic to achieve adjustment, which results in poor flexibility and can easily lead to problems such as insufficient refrigerant resources or insufficient performance of terminal equipment.

[0066] This application provides a control method, apparatus, device, medium, and program product for multi-split systems to solve the aforementioned problems. Specifically, the method of this application, for each indoor terminal device, proposes to compensate for the difference between its target required temperature and the current actual temperature based on its associated living scenario to calculate its refrigerant demand information. Subsequently, based on the current device priority of each indoor terminal device, the valve opening of each indoor terminal device is adjusted according to the refrigerant demand information. Finally, the refrigerant demand information of each indoor terminal device is aggregated, and the main unit is adjusted to match its output load with the aggregated total refrigerant demand information.

[0067] It is understood that the method of this application is applicable to the control scenario of any multi-connected system, for example, Figure 1 An application scenario diagram for a control method applied to a multi-connected system provided in this application embodiment is shown, such as... Figure 1 As shown, the method of this application can be used in a five-constant multi-split system to coordinate the refrigerant distribution and main unit output of terminal devices such as fresh air heat exchange modules and capillary radiation modules within the system, so as to achieve precise control of multi-dimensional requirements such as constant temperature and constant humidity, which is executed by the intelligent control unit of the five-constant multi-split system.

[0068] Specifically, the five-constant multi-split system refers to a system that maintains constant temperature, humidity, oxygen, quietness, and cleanliness. In the scenario of a five-constant multi-split system, it is necessary to balance multiple dimensions of requirements such as constant temperature, constant humidity, and constant oxygen, and to coordinate the refrigerant distribution of different functional terminals such as the fresh air heat exchange module and the capillary radiation module.

[0069] Based on the method of this application, the difference between the target required temperature and the current actual temperature in the corresponding areas of the fresh air heat exchange module and the capillary radiation module is first obtained. This difference is then compensated for by considering the associated living scenarios in each area, thereby calculating the refrigerant demand information for each module. Subsequently, based on the current equipment priority of the two modules, the valve openings of each module are adjusted according to the calculated refrigerant demand information. Finally, the refrigerant demand information of the two modules is aggregated, and the main unit is adjusted to match the output load of the main unit with the aggregated total refrigerant demand information.

[0070] The method described in this application transforms abstract scenario requirements into precise refrigerant demand parameters by setting up a living scenario compensation mechanism. Then, it dynamically adjusts the refrigerant allocation to different modules through equipment priority scheduling, eliminating the need for fixed allocation rules. Simultaneously, by matching the main unit load with the total refrigerant demand, it ensures that the system's energy supply matches actual needs, ultimately achieving flexible control of the five-constant multi-split system, improving environmental comfort and system operating efficiency.

[0071] It is understood that the intelligent control unit implementing the method of this application can be deployed locally indoors, such as a central control device installed in the living room, or it can be deployed on a cloud server. After deployment, the intelligent control unit can be connected to user terminal devices such as mobile phones, tablets, and indoor temperature control panels via wireless or wired means, making it convenient for users to view the system's operating status and adjust parameters. In addition, the method of this application can be applied not only to five-constant multi-split systems, but also to other types of multi-split systems such as ordinary individual household refrigerant multi-split systems and small commercial multi-split air conditioning systems, and this embodiment does not limit it to these types.

[0072] The following detailed description, with reference to the accompanying drawings and using an electronic device as the execution subject, outlines some embodiments of the control method for multi-connected systems according to this application. Where the embodiments do not conflict, the following embodiments and features thereof can be combined with each other.

[0073] This application provides a control method for multi-connected systems. Figure 2 This application provides a flowchart illustrating a control method for a multi-connected system, as shown in the embodiments below. Figure 2 As shown in the figure, a control method for a multi-connected system provided in this application includes the following:

[0074] S201, obtain the difference between the target required temperature and the current actual temperature of the corresponding area of ​​each indoor terminal device at the current moment, as well as the living scenario associated with the area.

[0075] In this embodiment, the target temperature is determined through any of the following methods: user-initiated setting or system intelligent preset. Specifically, in this embodiment, user-initiated setting is achieved through any of the following operation paths: the user manually or via voice inputs or selects the target temperature through a local terminal (such as a physical temperature control panel or remote control installed in the corresponding area); or the user manually or via voice sets the target temperature for each area remotely or locally through a mobile terminal (such as a mobile app or mini-program connected to the system).

[0076] In this embodiment, the system intelligently presets the temperature through any of the following operation paths: Based on the user's historical usage habits, it automatically collects and analyzes the user's past records of setting target temperature requirements for various areas (such as the user's weekday evening living room temperature preference and weekend study room temperature preference), statistically analyzes the commonly used temperatures in the same time period or similar scenarios, and sets them as default values; Based on future weather changes, it obtains outdoor temperature, humidity, and other data for a future preset time period (such as within 24 hours) through the network, and fine-tunes the target temperature requirements in advance in combination with indoor environmental characteristics (such as lowering the indoor target temperature in advance to cope with subsequent heat inflow when outdoor temperatures are predicted to rise); Based on the indoor and outdoor temperature difference, it calculates the temperature difference in real time through indoor and outdoor temperature sensors, and automatically adjusts the target temperature requirements when the temperature difference exceeds a preset threshold (such as ≥12℃) (such as appropriately increasing the indoor target temperature when outdoor temperatures are low, and reducing the temperature difference to avoid discomfort for users entering and exiting).

[0077] In practical applications, the target temperature can also be determined by a combination of user-defined settings and system-intelligent presets. Specifically, users can first set a basic target temperature through a local terminal or mobile terminal (e.g., setting the bedroom's basic target temperature to 23℃). The system then makes minor adjustments to this basic temperature based on the user's historical habits, future weather changes, or the temperature difference between indoors and outdoors (e.g., automatically adjusting the 23℃ basic temperature to 23.5℃ based on future temperature drop forecasts, or automatically adjusting the 23℃ basic temperature to 22.5℃ in the early morning based on the user's past nighttime habits). Alternatively, the system can first generate an initial target temperature based on the above intelligent preset method, and the user can modify the initial temperature through terminal operation according to their immediate needs (e.g., the system presets the living room temperature to 25℃, and the user manually adjusts it to 24℃ because they feel too hot). This embodiment does not limit this approach.

[0078] In this embodiment, the indoor terminal equipment includes a capillary radiation module for temperature regulation, a ducted indoor unit, a wall-mounted indoor unit, and a fresh air heat exchange module that also handles temperature and humidity. It should be understood that two or more indoor terminal devices may exist in the same area. For example, a capillary radiation module for radiant temperature control and a fresh air heat exchange module for supplementing fresh air and assisting dehumidification may be deployed simultaneously in a bedroom area, or a ducted indoor unit and a wall-mounted indoor unit for localized temperature control may be installed simultaneously in a living room area.

[0079] Based on the above, it should be noted that in this embodiment, indoor terminal devices within the same area may correspond to the same target required temperature and living scenario, but may correspond to different current actual temperatures. Furthermore, for each indoor terminal device, the electronic device performs a subtraction operation between its corresponding target required temperature and the current actual temperature to obtain the corresponding difference.

[0080] In this embodiment, the living scenario includes at least one of the following: a resting scenario, an exercise scenario, and a home-away scenario. Specifically, a resting scenario includes scenarios where the user engages in low-activity activities within a given area, such as sleeping in the bedroom, relaxing and watching movies in the living room, or reading and working in the study. An exercise scenario includes scenarios where the user engages in moderate to high-activity activities within a given area, such as yoga in the living room, simple stretching in the bedroom, using equipment in a home gym, or cooking in the kitchen. A home-away scenario includes scenarios where the user is away from all areas for an extended period without anyone else present, such as daytime hours when the whole family is out on weekdays or extended periods of time when family members are away at night.

[0081] It should be understood that users have significantly different needs for indoor environments in different life scenarios. For example, in quiet scenarios (such as sleeping or reading), users need to slowly control the temperature to ensure comfort and quietness, requiring a smaller temperature difference compensation range. In exercise scenarios (such as yoga or cooking), users easily generate heat or moisture, requiring rapid temperature control and auxiliary dehumidification, requiring a larger temperature difference compensation range. In scenarios away from home, users do not have real-time comfort requirements and need to reduce energy consumption, allowing for more precise temperature control or adjustments to the device's operating mode. If the devices are adjusted according to a fixed logic without distinguishing between life scenarios, they will not be able to adapt to diverse environmental needs, leading to decreased comfort or energy waste. Therefore, in this embodiment, the electronic device simultaneously acquires the temperature difference of each indoor terminal device and the associated life scenario of its location.

[0082] In this embodiment, the living scenario is determined in any of the following ways: by user manual triggering, i.e., the user actively selects the living scenario of the current area on a local terminal or mobile terminal (e.g., clicking "Bedroom - Sleep Scenario" on the APP); by device linkage recognition, i.e., the system determines the scenario based on the operating status of associated devices (e.g., when the bedroom lights are turned to the lowest brightness and the curtains are closed, it is determined to be a sleep scenario; when the treadmill is started, it is determined to be an exercise scenario); by human activity data recognition, i.e., the system collects the amount of human activity in the area through infrared sensors and human presence sensors, and determines a resting scenario when the amount of activity is low, an exercise scenario when the amount of activity is high, and an away-from-home scenario when there is no human activity for a long time.

[0083] It should be understood that in practical applications, life scenarios can also be determined by combining user historical behavior data, scheduled tasks (such as automatically triggering a sleep scene at 10 pm every night), etc. This embodiment does not limit this.

[0084] By dividing living scenarios into resting, exercising, and away-from-home scenarios, a precise basis for differentiated environmental adjustments is provided. This helps avoid insufficient comfort or energy waste caused by fixed adjustment logic, allowing indoor terminal devices to more accurately match the core needs of each living scenario. Furthermore, based on the clear division of these three scenarios, electronic devices can automatically trigger corresponding compensation strategies based on scenario recognition results, reducing the frequency of manual user intervention and optimizing the user experience. In addition, the three-scenario classification covers users' main daily activities and space usage, adapting to the scenario needs of different areas in the home (bedroom, living room, gym, etc.) and preventing confusion in device adjustment logic through clear scenario boundaries, thus ensuring stable and efficient system operation across various usage scenarios.

[0085] S202, calculate the refrigerant demand information for each indoor terminal device based on the difference after compensation based on the living scenario.

[0086] In this embodiment, for each indoor terminal device, the electronic device compensates for the corresponding difference based on its corresponding living scenario to obtain the compensated difference, and then calculates its corresponding refrigerant demand information based on the compensated difference.

[0087] Specifically, in this embodiment, if the living scenario is a resting scenario, the difference is reverse compensated, so that the difference is reduced towards zero by a preset reverse compensation value, and the refrigerant demand information of each indoor terminal device is calculated based on the compensated difference.

[0088] More specifically, in this embodiment, the electronic device is pre-set with a fixed reverse compensation value for a quiet environment. After calculating the initial temperature difference corresponding to the indoor terminal device, the reverse compensation value is subtracted from the initial temperature difference to obtain the compensated difference. For example, if the initial temperature difference is 2℃ and the reverse compensation value for the quiet environment is set to 0.8℃, the compensated temperature difference is 1.2℃. Subsequently, the electronic device calculates the refrigerant demand information of the corresponding indoor terminal device based on 1.2℃, reduces the refrigerant supply, achieves slow temperature control, and avoids the surrounding temperature affecting the user's rest or work.

[0089] In this embodiment, if the living scenario is a sports scenario, the difference is positively compensated by increasing the difference by a preset positive compensation value in the direction of increasing. The refrigerant demand information of each indoor terminal device is calculated based on the compensated difference.

[0090] More specifically, in this embodiment, the electronic device is pre-set with a fixed positive compensation value for sports scenarios. After calculating the initial temperature difference corresponding to the indoor terminal device, the positive compensation value is added to the initial temperature difference to obtain the compensated difference. As an example, if the initial temperature difference is 1.5℃ and the preset positive compensation value is 1.2℃, then the compensated temperature difference is 2.7℃. Subsequently, the electronic device calculates the refrigerant demand information of the corresponding indoor terminal device based on 2.7℃, increases the refrigerant supply, accelerates the indoor cooling or dehumidification speed, and adapts to the user's heat dissipation and humidity regulation needs during exercise.

[0091] It should be understood that the preset positive compensation value and preset negative compensation value in this embodiment adopt a scene binding + fixed value setting method: For the resting scene, the preset negative compensation value is fixed at 0.5℃-1℃, of which 1℃ corresponds to the bedroom sleep scene (requiring more gentle temperature control), 0.8℃ corresponds to the study office scene, and 0.5℃ corresponds to the living room leisure scene. Different fixed values ​​are matched by subdividing the resting scene into sub-scenes; For the exercise scene, the preset positive compensation value is fixed at 1℃-1.5℃, of which 1.5℃ corresponds to the home gym equipment exercise scene (requiring rapid temperature control and dehumidification), 1.2℃ corresponds to the living room yoga scene, and 1℃ corresponds to the kitchen cooking scene. Similarly, subdivided values ​​are set based on the differences in exercise intensity and environmental needs, and all fixed values ​​are preset in the control program of the electronic device. Users can view and modify them within the supported range through local terminals or mobile terminals.

[0092] In practical applications, the preset positive compensation value and preset negative compensation value can also be set in other ways: based on dynamic adjustment of indoor and outdoor temperature difference, for example, when the indoor and outdoor temperature difference is ≥15℃, the negative compensation value of the resting scene is increased from 0.8℃ to 1℃ to avoid discomfort caused by sudden changes in indoor temperature; combined with user history adjustment habit learning settings, if the system detects that the user has manually adjusted the negative compensation value of the bedroom sleeping scene from 1℃ to 1.2℃ multiple times, it will automatically update the negative compensation value of the user's bedroom sleeping scene to 1.2℃; differentiated settings related to device type, for example, for capillary radiation modules, the negative compensation value of the resting scene is set to 0.6℃ (radiation temperature control itself is relatively gentle), and for duct indoor units, the negative compensation value is set to 1℃ (fan coil temperature control is faster and requires greater negative compensation suppression). The specific setting method can be flexibly selected according to the actual use scenario and user needs, and this embodiment does not limit it.

[0093] In this embodiment, if the living scenario is a scenario away from home, the difference is zero-compensated, the difference is set to zero, and the refrigerant demand information of each indoor terminal device is calculated according to the requirement to put each indoor terminal device into a shut-off or minimum energy consumption operation state.

[0094] More specifically, in this embodiment, zero compensation is used to set the temperature difference to zero, meaning that regardless of the initial temperature difference of the indoor terminal device, the electronic device sets it to zero. When calculating refrigerant demand information, the electronic device uses device shutdown or minimum energy consumption as the core basis. If it is an area that does not need to maintain a basic environment (such as a living room or bedroom), the refrigerant demand flow indicated by the refrigerant demand information at the current moment is zero, and the corresponding indoor terminal device is completely shut down. If it is an area that needs to maintain basic humidity or prevent freezing (such as a kitchen or equipment room), the refrigerant demand information is calculated based on minimum energy consumption to ensure that energy consumption is reduced to a minimum while avoiding environmental anomalies.

[0095] As discussed above, reverse compensation in resting scenarios reduces refrigerant supply by decreasing the temperature difference, thus preventing sudden temperature changes and creating a smooth and stable comfortable environment for sleep or work, while also reducing energy consumption. Positive compensation in active scenarios increases refrigerant supply by increasing the temperature difference, quickly regulating temperature and humidity to address the heat and moisture generated during exercise and meet the scenario's environmental regulation efficiency requirements. Zero compensation in away-from-home scenarios sets the temperature difference to zero and calculates refrigerant demand based on shutdown or minimum energy consumption, minimizing energy consumption in unoccupied areas, controlling operating costs, and reserving minimum refrigerant supply for special areas such as kitchens and equipment rooms to prevent environmental anomalies. All three compensation methods are designed around the core needs of the scenario, achieving efficient utilization of refrigerant resources and optimized system operation while ensuring user experience and environmental safety.

[0096] S203, based on the current device priority of each indoor terminal device, adjusts the valve opening of each indoor terminal device according to the refrigerant demand information.

[0097] In this embodiment, the electronic device obtains the current device priority of each indoor terminal device, and then adjusts the valve opening of each indoor terminal device according to the refrigerant demand information. Specifically, the electronic device first determines the target valve opening benchmark value for each device based on the current refrigerant demand flow (the larger the refrigerant demand flow, the larger the target opening benchmark value, and the two have a positive correlation). Then, the benchmark value is corrected in combination with the device priority. Specifically, for devices with higher device priority, the benchmark value is retained or increased at a 1:1 ratio (to ensure that the demand is met first), and for devices with lower priority, if the system's refrigerant supply capacity is insufficient, the benchmark value can be appropriately decreased (the maximum decrease does not exceed 30%).

[0098] When adjusting the valve opening of each indoor terminal device, the principle of prioritizing the needs of high-priority devices is followed. First, the valves of high-priority devices are adjusted to the corrected target opening. Then, the low-priority devices are adjusted according to the remaining refrigerant supply capacity to ensure that the current refrigerant demand flow of high-priority devices is accurately matched, and low-priority devices meet their own needs as much as possible without affecting the needs of high-priority devices.

[0099] In practical applications, if the refrigerant demand information also includes future predicted flow rates, a combination of current adjustment and forward-looking adjustment is adopted: After adjusting the valve to the current target opening based on the current refrigerant demand flow rate, the valve opening is fine-tuned in advance according to the future predicted flow rate trend and equipment priority. Specifically, if the future predicted flow rate of high-priority equipment increases, the valve opening is slightly increased in advance (to avoid adjustment lag caused by subsequent load changes); if the future predicted flow rate of low-priority equipment decreases, the valve opening is slightly decreased in advance (to reduce energy waste), achieving a smooth transition in supply and demand matching.

[0100] It should be understood that device priority is a parameter used to determine the refrigerant supply priority order of each indoor terminal device in a multi-split system. Its core function is to ensure that resources are tilted towards high-value needs when the system's refrigerant supply capacity is limited, multiple devices have conflicting demands, or critical needs need to be prioritized, thus avoiding indiscriminate adjustments that could lead to a decline in the user experience in core scenarios or system malfunctions. In this embodiment, device priority is not fixed but dynamically adjusted according to the actual scenario to adapt to the complex operational requirements of the multi-split system.

[0101] Specifically, in this embodiment, device priority is dynamically determined based on at least one of the following: living scenario, functional attributes, real-time environmental risk, energy efficiency, user needs, and system operating status. Living scenario refers to the current usage scenario of the area where the device is located (such as the aforementioned resting scenario, exercise scenario, and away-from-home scenario). The differences in core needs across different scenarios determine the device priority. Functional attributes refer to the core function of the device (e.g., a device responsible for preventing frost in the kitchen has environmental protection as its functional attribute, and its priority is higher than a device only responsible for cooling in the leisure area, as frost prevention is related to environmental safety). The more critical the function, the higher the priority. Real-time environmental risk refers to the potential environmental hazards that the device's operation may cause (e.g., dehumidifiers in high-humidity environments are prone to mold growth if not prioritized, resulting in a high real-time environmental risk and increased priority). The higher the risk, the higher the priority. Energy efficiency refers to the device's ability to regulate unit energy consumption (devices with higher energy efficiency are prioritized to reduce total system energy consumption, thus having a higher priority), meeting the system's energy-saving operation requirements. User needs refer to user-defined preferences (e.g., if a user marks devices in a children's room as priority, their priority is directly increased), aligning with personalized usage needs. System operating status refers to the overall operating status of the multi-connected system (e.g., if the risk of failure of a certain device increases, its priority is temporarily lowered to avoid system downtime, and priority is given to ensuring the operation of fault-free devices), ensuring stable system operation.

[0102] As an example, the electronic equipment adjusts the opening of the electric two-way valve corresponding to the indoor terminal equipment and controls the differential pressure bypass valve to maintain a constant flow rate on the cold source side. This ensures that the valves of high-priority equipment are accurately adjusted according to the corrected opening, while avoiding pressure fluctuations in the pipeline network caused by changes in the opening of multiple indoor terminal equipment.

[0103] S204, based on the total refrigerant demand information of each indoor terminal device, adjust the main unit to match the output load of the main unit with the total refrigerant demand information.

[0104] It should be understood that the total refrigerant demand information is a summary of the refrigerant demand information of each indoor terminal device. Determining the total refrigerant demand information can prevent the output load of the main unit from deviating from the actual demand of the terminals. Specifically, if the main unit's output load is too high, it will lead to energy waste; if the output load is too low, the demand of all terminal devices will not be met.

[0105] In this embodiment, during the specific adjustment, the electronic device first calculates the sum of the current refrigerant demand flow of each indoor terminal device to obtain the total current demand load. Then, combined with the total predicted future flow, the target output load range of the main unit is determined. Subsequently, by adjusting parameters such as the compressor speed and valve opening of the main unit, the output load of the main unit is made to fall within the target range: when the total current demand load increases, the compressor speed is increased to increase the output load; when the total current demand load decreases, the compressor speed is decreased to reduce the output load. At the same time, the main unit's operating status is adjusted in advance with reference to the predicted future flow (e.g., if the predicted future total demand increases, the compressor speed is slightly increased in advance) to ensure that the main unit output matches the total terminal demand in real time.

[0106] In this embodiment, the electronic equipment adjusts the compressor speed and refrigerant output valve opening of the main unit, and combines current monitoring data to realize the main unit addition / reduction control: when the total demand load continues to increase and the current of a single main unit is close to the rated value and still cannot meet the demand, a main unit addition command is triggered to start the backup main unit; when the total demand load decreases and the main unit current continues to be below the threshold, a main unit reduction command is triggered to shut down the redundant main unit, ensuring that the main unit output load is accurately matched with the total refrigerant demand, while improving the system operating efficiency and stability.

[0107] The control method for multi-split systems provided in this embodiment first identifies the living scenarios of the areas where each indoor terminal device is located, then performs differential compensation on the differences between the devices based on the scenarios, then calculates the refrigerant demand information of each device based on the compensated differences, adjusts the opening of the terminal valves in combination with the dynamically determined device priorities, and finally adjusts the output load of the host based on the total refrigerant demand information to achieve precise control of the multi-split system.

[0108] The method described in this embodiment provides precise compensation for the differences in needs across various life scenarios, effectively avoiding the rigidity of fixed adjustment logic and flexibly adapting to diverse scenarios such as rest, exercise, and being away from home. Furthermore, device priority is dynamically determined based on multiple dimensions and can be proactively adjusted according to future predicted flow rates in refrigerant demand information. This allows the system to flexibly respond to complex situations such as conflicting device demands, refrigerant supply fluctuations, and environmental changes. It ensures the priority fulfillment of core needs while flexibly adapting to different user preferences, system operating states, and environmental risks, achieving flexible control of resource allocation on demand.

[0109] This application also provides an embodiment of a control method for multi-split systems, which details the process of calculating the refrigerant demand information of each indoor terminal device based on the difference after compensation for living scenarios. The process is as follows:

[0110] For any indoor terminal device, in this embodiment, as one possible implementation, if the target area where the indoor terminal device is located contains only one indoor terminal device, the load required by the target area per unit time is calculated based on the compensated difference, the area parameter of the target area and the environmental heat transfer coefficient; and the refrigerant demand flow rate at the current moment is calculated based on the load and the unit flow rate heat exchange of the system refrigerant to obtain the refrigerant demand information.

[0111] Specifically, in this embodiment, the electronic device inputs the compensated difference δT, the area parameter A of the target area, and the environmental heat transfer coefficient K into the following formula to obtain the required load Q per unit time: Q = K × A × δT. Here, the environmental heat transfer coefficient K is related to the thermal insulation performance of the target area, the structure of doors and windows, etc. Subsequently, the electronic device inputs the system refrigerant's unit flow rate heat exchange q and the load Q into the following formula to obtain the current refrigerant flow rate demand G of the indoor terminal equipment: G = Q / q.

[0112] In this embodiment, the environmental heat transfer coefficient K is derived by pre-entering building parameters of the target area (such as the thermal conductivity of wall insulation materials, door and window types and their area ratios, and the number of glass layers) and combining them with the standard formula for building thermal calculation. In practical applications, if the system is equipped with a regional heat transfer coefficient monitoring module, the electronic equipment can also dynamically calibrate the K value by monitoring the temperature difference between the inside and outside of the area and the actual heat transfer in real time, ensuring calculation accuracy.

[0113] As another possible approach, if the target area contains at least two indoor terminal devices, a unified compensated difference for the target area is determined based on the compensated difference for each indoor terminal device within the target area. The total regional load required by the target area per unit time is calculated based on the unified compensated difference, the area parameters of the target area, and the environmental heat transfer parameters. The refrigerant demand flow rate of the indoor terminal devices is calculated based on the proportion of the device's regulating capacity, the total regional load, and the system's unit flow heat exchange, thus obtaining refrigerant demand information.

[0114] Specifically, the electronic device is first based on the difference δT after unified compensation. 统一 Given the target area A and the environmental heat transfer coefficient K, input the following formula to obtain the total load Q of the area. 总 Q 总 =K×A×δT 统一 Subsequently, the regulation capacity percentage η of each indoor terminal device within the target area is calculated. i =C i / ∑C i , where C i The regulation capacity parameter of the i-th indoor terminal device is determined by the device's rated power, heat exchange area, etc., ∑C iThis is the sum of the adjustment capability parameters of all indoor terminal devices within the target area. Finally, the electronic device adjusts the aforementioned adjustment capability percentage η. i Total regional load Q 总 Substituting the system's refrigerant heat exchange rate q per unit flow rate into the following formula, we obtain the refrigerant flow rate G required by the indoor terminal equipment. i :G i =(η i ×Q 总 ) / q.

[0115] In this embodiment, the difference after unified compensation is the arithmetic mean of the differences after compensation for each indoor terminal device within the target area, i.e., δT. 统一 =(δT1+δT2+…+δT n ) / n (where n is the number of indoor terminal devices in the target area). In practical applications, a weighted average can also be calculated based on the device accuracy weight (e.g., giving higher weight to devices with higher accuracy), or the median of the difference can be taken. The specific choice can be made according to the needs of the scenario, and this embodiment does not limit this.

[0116] Meanwhile, in practical applications, the proportion of equipment adjustment capacity can also change dynamically. Electronic equipment can monitor the operating efficiency of each device in real time (such as heat exchange efficiency and energy consumption level). If the operating efficiency of a device decreases, its adjustment capacity proportion will be automatically reduced, and if the efficiency increases, it will be increased to ensure a more reasonable load distribution. In addition, fixed proportions can also be preset according to the type of equipment and installation design (such as 70% fixed proportion for capillary manifolds and 30% fixed proportion for fresh air refrigerant pipes), without the need for dynamic adjustment, to adapt to different system design requirements.

[0117] Furthermore, in practical applications, C i Alternatively, parameters that reflect the equipment's adjustment capabilities, such as heat exchange area and maximum design flow rate, can be used. The specific selection can be made according to the system type and equipment characteristics, and this embodiment does not limit this.

[0118] In practical applications, calculations can also be performed using a lookup table method (pre-creating a table comparing the total load of the area with the refrigerant demand flow of the equipment based on the correspondence between different uniformly compensated differences, area areas, and environmental heat transfer coefficients, and directly matching and querying the results) or a neural network model (training a model based on historical operating data, inputting uniformly compensated differences, area areas, equipment adjustment capacity parameters, etc., and directly outputting the refrigerant demand flow of each indoor terminal equipment). This embodiment does not limit this method.

[0119] By calculating the load per unit time and converting it into refrigerant demand, it is possible to achieve a precise match between refrigerant supply and actual environmental regulation needs. This avoids energy waste caused by excessive refrigerant supply or the impact of insufficient supply on regulation effect. At the same time, it ensures reasonable refrigerant distribution in areas where multiple devices coexist, thereby improving the overall operating efficiency of the system.

[0120] As a further optimized design, in this embodiment, the electronic device combines the duration of the living scenario with historical load change curves for the same period to predict the refrigerant demand flow trend within a preset future time period. Subsequently, based on the refrigerant demand flow trend, the total future predicted flow for the region is generated, and combined with the adjustment capacity ratio of the indoor terminal devices, the total future predicted flow for the region is allocated to each indoor terminal device, obtaining the future predicted flow for each indoor terminal device. Finally, for any indoor terminal device, refrigerant demand information is generated based on the current refrigerant demand flow and the future predicted flow.

[0121] Specifically, in this embodiment, the duration of the living scene is obtained through real-time timing by the system, that is, the duration is accumulated from the moment the scene is identified or triggered until the timing stops when the scene changes. The historical load change curve is generated by the system's stored past data, that is, by collecting records of regional load changes under the same season, the same time period, and the same living scene in the past, and plotting the curve as a function of time after statistical analysis (for example, the load of the quiet scene on weekday evenings usually shows a slow downward trend from 20:00 to 22:00).

[0122] In this embodiment, when predicting the trend of refrigerant demand flow changes within a preset time period, the electronic device inputs parameters such as the duration of the current scenario and the difference after regional unified compensation into a prediction model (such as a time series model) trained based on historical synchronous curves. By comparing the regional total load change patterns of similar scenario stages in historical data, the regional total load change trend for a future period (such as 1 hour) is calculated, and then transformed into the regional total refrigerant demand flow change trend. Based on this trend, the predicted values ​​of each time node are taken to obtain the regional total future predicted flow. Then, according to the adjustment capacity ratio of each indoor terminal device (consistent with the current refrigerant demand flow allocation ratio; if the ratio changes dynamically, the changed ratio is adopted synchronously), the future predicted flow of a single device is calculated as: regional total future predicted flow × the adjustment capacity ratio of the device.

[0123] It should be understood that if the target area contains only one indoor terminal device, the difference after the unified compensation of the area is the difference after compensation for that indoor terminal device, the trend of the total refrigerant demand flow in the area is the trend of the refrigerant demand flow in that single indoor terminal device, and the total future predicted flow in the area is equal to the future predicted flow of that single device. There is no need to perform allocation calculations; the future predicted flow of that device can be obtained directly by following the above prediction logic.

[0124] In practical applications, the prediction results can be corrected by combining outdoor weather forecast data (such as future temperature changes), or a user-defined scene mode can be used to preset the flow rate change curve (such as the user setting the refrigerant flow rate to decrease by 10% per hour in a sleep scene). This embodiment does not limit this.

[0125] By generating refrigerant demand information based on current refrigerant demand flow and future predicted flow, it is possible to proactively adjust the refrigerant supply, avoid system operation fluctuations caused by sudden load changes, and prepare for future demand changes in advance. This not only ensures the stability of the indoor environment but also further optimizes energy utilization efficiency and enhances the intelligence and predictability of the system.

[0126] This application provides an embodiment of a control method for multi-connected systems, which details the dynamic determination of device priorities. The process is as follows:

[0127] As one possible approach, electronic devices can dynamically determine device priorities based on any one of the following: living scenarios, functional attributes, real-time environmental risks, energy efficiency, user needs, and system operating status.

[0128] Specifically, if the priority is determined based on life scenarios, then the life scenarios are mapped to preset scenario priority coefficients, where the resting scenario corresponds to the first coefficient, the sports scenario corresponds to the second coefficient, and the away-from-home scenario corresponds to the third coefficient, with the first coefficient being the largest and the third coefficient being the smallest.

[0129] More specifically, in this embodiment, the electronic device presets specific coefficient values ​​for each scenario (such as the first coefficient being 0.8, the second coefficient being 0.5, and the third coefficient being 0.2). When a living scenario in a certain area is identified as a resting scenario, the priority of all indoor terminal devices in that area is directly mapped to 0.8. If the scenario is switched to a sports scenario, the priority is updated synchronously to 0.5. If it is switched to an away-from-home scenario, it is updated to 0.2. The priority is quickly determined by directly binding the scenario with the coefficient.

[0130] If priority is determined based on functional attributes, then basic priority weights are allocated according to the functional necessity level of the area, with residential space having a higher weight than activity space, and activity space having a higher weight than auxiliary space.

[0131] More specifically, in this embodiment, the basic weight of living space (such as bedroom and children's room) is set to 0.9, the weight of activity space (such as living room and gym) is set to 0.6, and the weight of auxiliary space (such as storage room and equipment room) is set to 0.3. Equipment in the same functional area shares the weight of that area. For example, the indoor air conditioner unit and the fresh air equipment in the bedroom both adopt the weight of 0.9 of the living space and are directly assigned a fixed priority according to the functional attributes of the area.

[0132] If the priority is determined based on real-time environmental risks, then when the temperature and humidity of the area exceed the safety threshold, the emergency priority is triggered and placed at the top. After the emergency environmental risk is eliminated, the priority is restored to the original priority.

[0133] More specifically, in this embodiment, the system presets a safety threshold (such as temperature > 35°C or < 5°C, humidity > 85%). When the sensor detects that the temperature and humidity in a certain area exceed the threshold, the priority of the device in that area automatically jumps to the highest level (such as priority value 1.0) and forces the priority allocation of refrigerant. When the temperature and humidity return to the threshold (such as stabilizing for 5 minutes), the priority automatically drops back to the value before the trigger (such as dropping from 1.0 back to the original 0.7).

[0134] If priority is determined based on energy efficiency, then the marginal benefit of load adjustment in each region is calculated, and regions with higher marginal benefits are given priority. The marginal benefit is the improvement in temperature and humidity per unit of energy consumption.

[0135] More specifically, in this embodiment, the electronic device is calculated using the formula: Marginal benefit = (Change in temperature and humidity after adjustment / Energy consumption during adjustment). For example, if region A consumes 1 kWh of energy to reduce the temperature by 2°C (marginal benefit = 2), and region B consumes 1 kWh of energy to reduce the temperature by 1°C (marginal benefit = 1), then the device in region A has a higher priority than the device in region B, and the marginal benefit is recalculated every hour to dynamically update the priority ranking.

[0136] If priorities are determined based on user needs, then the priority commands input by the user through the interactive terminal are converted into corresponding weight values, with the user's pinned command corresponding to the highest weight value.

[0137] More specifically, in this embodiment, the interactive terminal is set with four levels of instructions: "Pin to Top", "High", "Medium" and "Low", corresponding to weight values ​​of 1.0, 0.8, 0.5 and 0.3 respectively. When the user issues the "Pin to Top" instruction to the "Master Bedroom Air Conditioner" on the APP, the weight of the device is directly set to 1.0, and the weight of the user's instruction is not affected by other dimensions until the user manually cancels or modifies the instruction.

[0138] If the priority is determined based on the system's operating status, it is then dynamically adjusted according to the equipment's health and pipeline pressure parameters. Equipment with low health is given a lower priority, and areas with abnormal pipeline pressure are given a lower priority.

[0139] More specifically, in this embodiment, the health of the equipment is calculated based on the running time and the number of fault warnings (e.g., health = 1 - (number of faults / total running time)). Equipment with a health of less than 60% has its priority reduced by 20%. If the pipeline pressure parameter exceeds the normal range (e.g., the pipeline pressure in a certain area is <0.5MPa), the priority of all equipment in that area is reduced by 30%, and will automatically increase again after the pressure returns to normal.

[0140] It should be understood that in practical applications, the specific parameters, calculation methods, and classification standards in the above process can be flexibly replaced according to system design requirements. For example, the scenario priority coefficient can be adjusted to a first coefficient of 0.9, a second coefficient of 0.6, and a third coefficient of 0.3, without being limited to the values ​​in this embodiment; the division of regional functional attributes can add core functional areas (such as infant rooms) and set higher weights (such as 1.0), or merge some space types (such as classifying gyms as ancillary areas of residential spaces); the safety threshold for real-time environmental risks can be adjusted according to regional climate differences (such as setting the antifreeze threshold in northern winters to <2℃, and the humidity threshold in humid southern regions to >90%), and the top priority logic for emergency response can also be combined with an additional strategy of prioritizing the cutting off of refrigerant supply to low-priority areas; the marginal benefit formula for energy efficiency can introduce temperature and humidity weight coefficients (such as a temperature improvement weight of 0). 6. Humidity improvement weight 0.4), the calculation method is adjusted to marginal benefit = (temperature change × 0.6 + humidity change × 0.4) / energy consumption of the adjustment process; the user-required instruction level can add a custom weight option, allowing users to directly input values ​​from 0.1 to 1.0, instead of being limited to only four fixed values; the calculation of equipment health can add parameters such as equipment operating temperature and maintenance cycle (e.g., health = 1 - (number of failures × 0.4 + over-temperature operation time × 0.3 + over-maintenance cycle days × 0.3) / total operation time), the reduction range of abnormal pipeline pressure can be graded according to the degree of abnormality (e.g., 15% reduction for mild abnormality, 30% reduction for severe abnormality), etc., this embodiment does not limit this.

[0141] In this embodiment, determining device priority based on any factor affecting device priority effectively reduces computational complexity and system resource consumption. Specifically, determining device priority based on this embodiment does not require integrating multi-dimensional data; results can be quickly obtained through a direct mapping between a single parameter and priority. This is suitable for scenarios with high response speed requirements (such as emergency environment risk handling), enabling priority determination and adjustment to be completed in a short time, thus improving the real-time performance of the system.

[0142] As another possible approach, electronic devices can dynamically determine device priorities based on at least two of the following: living scenarios, functional attributes, real-time environmental risks, energy efficiency, user needs, and system operating status.

[0143] Specifically, electronic devices first assign initial weights to at least two of the following: living scenarios, functional attributes, real-time environmental risks, energy efficiency, user needs, and system operating status. Then, status parameters for each dimension are collected in real time, and the initial weights for each dimension are dynamically updated based on these parameters. Finally, after normalizing the status parameters, a weighted summation is performed based on the updated initial weights to obtain the priority of each indoor terminal device. The normalization range is consistent, for example, uniformly normalized to a range of 0-1.

[0144] More specifically, in this embodiment, we will take the three dimensions of "life scenario + real-time environmental risk + user needs" as an example to explain in detail: the state parameters of each dimension are the raw data collected by the electronic device in real time. The state parameters of the life scenario dimension are the identification results of the current scene in the area (such as categorized data such as "bedroom-resting scene" and "living room-exercise scene"). The state parameters of the real-time environmental risk dimension are the real-time temperature and humidity values ​​and safety thresholds of the area (such as numerical data such as "current temperature 38℃, safety threshold 35℃"). The state parameters of the user needs dimension are the instructions issued by the user through the interactive terminal (such as instruction data such as "priority of the master bedroom device increased" and "no special instructions").

[0145] Based on this, when dynamically updating the initial weights, assuming the initial weights are set to 0.3 for living scenarios, 0.3 for real-time environmental risks, and 0.4 for user needs, the electronic device makes targeted adjustments based on the collected status parameters: if the living scenario is identified as a "quiet scenario" (associated with core comfort needs), the weight of this dimension is increased from 0.3 to 0.4; if the status parameters of the real-time environmental risk dimension show that the temperature and humidity exceed the safety threshold (triggering a risk warning), its weight is increased from 0.3 to 0.5; if the user needs dimension receives a "priority increase" instruction, its weight is increased from 0.4 to 0.6. After the adjustment, the sum of the weights of each dimension remains 1 (e.g., in the above scenario, the final weights may be 0.3 for living scenarios, 0.4 for real-time environmental risks, and 0.3 for user needs).

[0146] When calculating device priority, the status parameters are first quantized (converted to values ​​between 0 and 1): for example, in a living scenario, "resting scenario" is quantized as 0.9 and "exercise scenario" as 0.6; in real-time environmental risk, "exceeding the threshold by 2°C" is quantized as 0.8 and "not exceeding the threshold" as 0.2; in user needs, "instruction to increase" is quantized as 1.0 and "no instruction" as 0.5. Since the quantized values ​​are already in the same order of magnitude, normalization is directly performed; finally, the updated weights are combined for weighted summation. For example, if a bedroom device is in a resting scenario (quantized value 0.9), exceeds the temperature and humidity threshold (quantized value 0.8), and the user issues an instruction to increase (quantized value 1.0), then its priority = 0.9 × 0.3 + 0.8 × 0.4 + 1.0 × 0.3 = 0.89. This value is the priority of the device, and the higher the value, the higher the priority.

[0147] In practical applications, the weights can also be calculated by setting a priority threshold for dimensions (e.g., if the real-time environmental risk dimension triggers an emergency state, its weight is forcibly set to 0.7, and the total weights of other dimensions do not exceed 0.3), or by using the Analytic Hierarchy Process (AHP) to sort the importance of multiple dimensions before calculating the weights. This embodiment does not impose any restrictions on this.

[0148] In this embodiment, by using at least two methods to determine device priority, the actual importance of the devices can be reflected by a combination of multiple factors, avoiding the one-sidedness of a single-dimensional judgment. For example, the high priority of a quiet environment can be further enhanced by the user's manual command to prioritize that area, and devices with low energy efficiency can have their priority appropriately increased due to being in a high-risk environment. This makes the priority determination more in line with the complex actual needs of system operation, thereby achieving more accurate refrigerant resource allocation and device adjustment.

[0149] As an example, Figure 3 An application example diagram of a control method for a multi-connected system provided in this application embodiment is shown, such as... Figure 3 As shown, when multiple areas share a single main unit (high-temperature heat pump outdoor unit), and one of the areas x contains both a fresh air unit and a capillary manifold (both connected to the main unit via refrigerant pipes), first take the compensated difference δT1 = 1.8℃ for the fresh air refrigerant pipe and the compensated difference δT2 = 2.2℃ for the capillary manifold, and then calculate the unified compensated difference δT. 统一 = (1.8 + 2.2) / 2 = 2℃; Combined with the area A = 20m² 2 The environmental heat transfer coefficient K = 5 W / (m²) 2 ·℃), via Q 总 =5×20×2=200W to obtain the total load of the area.

[0150] If we assume the regulating capacity parameter of the fresh air refrigerant pipe is C1 = 300W / ℃ and the regulating capacity parameter of the capillary manifold is C2 = 700W / ℃, then the regulating capacity percentage of the fresh air refrigerant pipe is η1 = 300 / (300+700) = 30%, and the regulating capacity percentage of the capillary manifold is η2 = 700 / (300+700) = 70%. If the unit flow rate heat exchange of the system refrigerant is q = 100W / L, then the refrigerant demand flow rate of the fresh air refrigerant pipe is G1 = (30%×200) / 100 = 0.6L / s, and the refrigerant demand flow rate of the capillary manifold is G2 = (70%×200) / 100 = 1.4L / s. This gives us the refrigerant demand information for both devices.

[0151] Furthermore, if the area where the fresh air refrigerant duct and capillary manifold are located is identified as a quiet environment (such as a bedroom sleep environment), their functional attributes are clearly different. The core function of the fresh air refrigerant duct is to assist in humidity control and air exchange. By adjusting the refrigerant flow, it controls the temperature and humidity of the fresh air to avoid indoor dryness or dampness, while introducing fresh air to ensure breathing comfort. The core function of the capillary manifold is main temperature control. By distributing refrigerant to the capillary network, it directly regulates the core indoor temperature and is a key device for maintaining a comfortable temperature in a sleep environment.

[0152] At this point, the electronic devices first determine their initial priority based on the living scenario. In the quiet scenario, the initial priority of devices within the area is uniformly mapped to 0.8, and then the priority is fine-tuned based on functional attributes. Because the main temperature control function of the capillary manifold is directly related to the core comfort needs of the quiet scenario, its priority is increased to 0.9; the auxiliary humidity control and ventilation function of the fresh air refrigerant pipe is a secondary need, and its priority remains at 0.8. Ultimately, the capillary manifold has a higher priority than the fresh air refrigerant pipe.

[0153] Based on this, when determining the valve opening, the electronic equipment first calculates the baseline value according to the linear mapping relationship between refrigerant demand flow and valve opening (each 0.2L / s corresponds to 10% opening): fresh air refrigerant pipe G1 = 0.6L / s corresponds to 30%, and capillary manifold G2 = 1.4L / s corresponds to 70%. Following the principle of prioritizing high-priority needs, the capillary manifold valve is first adjusted to the 70% baseline opening to ensure accurate fulfillment of the main temperature control requirements; then, the system's refrigerant supply capacity is assessed. If the supply is sufficient, the fresh air refrigerant pipe valve is adjusted to the 30% baseline opening; if the supply is limited, the fresh air refrigerant pipe opening can be reduced to 25% (without affecting core temperature control). After adjustment, the capillary manifold stably outputs refrigerant to maintain the indoor temperature, and the fresh air refrigerant pipe operates synchronously to ensure air quality, achieving functional synergy.

[0154] When adjusting the main unit, the electronic equipment aggregates the refrigerant demand flow of all service areas (2.0L / s of this area + 2.0L / s of other areas = 4.0L / s), calculates the total load = 4.0L / s × 100W / L = 400W, and then adjusts the compressor speed of the high-temperature heat pump outdoor unit (increasing it from 3000rpm to 4500rpm) to match the main unit's output load to 400W, ensuring uninterrupted refrigerant supply to high-priority equipment, while optimizing overall energy consumption.

[0155] As described above, the control method for multi-split systems proposed in this application achieves two main benefits. First, it enables precise matching and efficient allocation of refrigerant demand: differentiated compensation for temperature differences based on living scenarios, calculation of refrigerant demand combining total regional load and equipment adjustment capacity ratio, avoiding redundant calculations or uneven distribution of demand in multi-device scenarios. Simultaneously, by dynamically adjusting valve openings based on device priority, it ensures that the demand of high-priority devices (such as devices in quiet scenarios or high-risk areas) is met first, improving the accuracy and comfort of indoor environmental regulation. Second, it effectively enhances the flexibility and intelligence of system operation: it supports adaptive calculation for single-device and multi-device scenarios, and preset compensation values ​​and priority determination methods can be flexibly adjusted according to actual needs. Furthermore, it can perform forward-looking adjustments based on future predicted flow rates, breaking through the limitations of traditional fixed logic and adapting to diverse user needs and environmental changes. In addition, the system energy consumption and operational stability are effectively optimized: the main unit output load is adjusted by accurately calculating the total refrigerant demand information to avoid energy waste; the linkage between dynamic priority and parameters such as health status and pipeline pressure can reduce the risk of equipment failure. At the same time, single-dimensional priority judgment reduces the system's computational load, while multi-dimensional judgment improves the scientific nature of decision-making, achieving the dual benefits of energy saving and stable operation.

[0156] Optionally, in practical applications, electronic devices can be configured with user feedback and dynamic learning mechanisms to dynamically optimize the comfort feedback submitted by users through interactive terminals in conjunction with device priority adjustment rules and preset compensation values. Specifically, positive feedback will strengthen the device priority weight and preset compensation value configuration in the current scenario; negative feedback will trigger adjustments, such as lowering the priority fine-tuning coefficient of the corresponding area devices or reducing the difference after unified compensation for "overheating" feedback in a resting scenario. Through dynamic learning, the priority judgment logic and compensation value parameters are continuously calibrated to improve the accuracy and personalized adaptability of the control strategy.

[0157] As an example, if a user submits negative feedback of "too cold" in a quiet bedroom setting, the electronic device recognizes that the priority fine-tuning coefficient of the capillary manifold in that area is 0.9 and the difference after unified compensation is 2.2℃. Then, through a dynamic learning mechanism, the priority fine-tuning coefficient is lowered to 0.8, and the difference after unified compensation is reduced to 1.9℃. If the user submits positive feedback multiple times in the future, the adjusted parameter configuration will be further strengthened, so that the device priority and compensation value are more in line with the user's comfort preferences.

[0158] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0159] It should be further noted that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. 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 flowchart may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0160] The above embodiments introduce a control method for multi-connected systems from the perspective of process flow. The following embodiments introduce a control device for multi-connected systems from the perspective of virtual modules or virtual units. For details, please refer to the following embodiments.

[0161] This application also provides a control device for use in a multi-connected system, used to implement the methods described in the above method embodiments. Figure 4 A schematic diagram of a control device applied to a multi-connection system is provided as an embodiment of this application, such as... Figure 4 As shown, in this embodiment, the control device applied to the multi-connection system may include:

[0162] The acquisition module 41 is used to acquire the difference between the target required temperature and the current actual temperature of the corresponding area of ​​each indoor terminal device at the current moment, as well as the living scenario associated with the area.

[0163] Calculation module 42 is used to calculate the refrigerant demand information of each indoor terminal device based on the difference after compensation based on the living scenario;

[0164] Control module 43 is used to adjust the valve opening of each indoor terminal device according to the refrigerant demand information based on the current device priority of each indoor terminal device.

[0165] The control module 43 is also used to adjust the main unit to match the output load of the main unit with the total refrigerant demand information based on the total refrigerant demand information of each indoor terminal unit.

[0166] In one possible implementation of this application embodiment, the life scenario includes at least one of the following: rest scenario, exercise scenario, and away from home scenario.

[0167] In one possible implementation of this application embodiment, the calculation module 42 is specifically used for:

[0168] If the living scenario is a resting scenario, the difference is compensated in reverse, so that the difference is reduced by a preset reverse compensation value towards zero. Based on the compensated difference, the refrigerant demand information of each indoor terminal device is calculated.

[0169] If the living scenario is a sports scenario, then the difference is positively compensated, and a preset positive compensation value is added to the difference in the direction of increasing. Based on the compensated difference, the refrigerant demand information of each indoor terminal device is calculated.

[0170] If the living scenario is a scenario away from home, then the difference is zero-compensated, the difference is set to zero, and the refrigerant demand information of each indoor terminal device is calculated based on the need to put each indoor terminal device into a shut-off or minimum energy consumption operation state.

[0171] In one possible implementation of this application embodiment, the calculation module 42 is specifically used for:

[0172] For any indoor terminal device, if the target area contains only one indoor terminal device, the load required by the target area per unit time is calculated based on the compensated difference, the area parameter of the target area and the environmental heat transfer coefficient.

[0173] Based on the load and the heat exchange per unit flow of the refrigerant in the system, the refrigerant demand flow rate at the current moment is calculated to obtain refrigerant demand information.

[0174] If the target area contains at least two indoor terminal devices, the unified compensated difference of the target area is determined based on the compensated difference of each indoor terminal device in the target area.

[0175] Based on the difference after unified compensation, the area parameters of the target area and the environmental heat transfer parameters, calculate the total regional load required by the target area per unit time.

[0176] Based on the proportion of the indoor terminal equipment's regulation capacity, the total regional load, and the system's unit flow heat exchange, the refrigerant demand flow rate of the indoor terminal equipment is calculated to obtain refrigerant demand information.

[0177] In one possible implementation of this application embodiment, the calculation module 42 is specifically used for:

[0178] By combining the duration of the living scenario with the historical load change curves for the same period, the trend of refrigerant demand flow change within the future preset time period can be predicted.

[0179] Based on the trend of refrigerant demand flow, the total future forecast flow of the region is generated. Combined with the adjustment capacity ratio of indoor terminal devices, the total future forecast flow of the region is allocated to each indoor terminal device to obtain the future forecast flow of each indoor terminal device.

[0180] For any indoor terminal device, refrigerant demand information is generated based on the current refrigerant demand flow rate and the future predicted flow rate.

[0181] In one possible implementation of this application, the device priority is dynamically determined based on at least one of the following: living scenario, functional attributes, real-time environmental risks, energy efficiency, user needs, and system operating status.

[0182] In one possible implementation of this application embodiment, the control module 43 is further configured to:

[0183] If the priority is determined based on life scenarios, then the life scenarios are mapped to preset scenario priority coefficients, where the resting scenario corresponds to the first coefficient, the exercise scenario corresponds to the second coefficient, and the away-from-home scenario corresponds to the third coefficient, with the first coefficient being the largest and the third coefficient being the smallest.

[0184] If priority is determined based on functional attributes, then basic priority weights are allocated according to the functional necessity level of the area, with the weight of residential space being higher than that of activity space, and the weight of activity space being higher than that of auxiliary space.

[0185] If the priority is determined based on real-time environmental risk, then when the temperature and humidity of the area exceed the safety threshold, the emergency priority is triggered and placed at the top. After the emergency environmental risk is eliminated, the priority is restored to the original priority.

[0186] If priority is determined based on energy efficiency, then the marginal benefit of load adjustment in each region is calculated, and regions with higher marginal benefits are given priority. The marginal benefit is the improvement in temperature and humidity per unit of energy consumption.

[0187] If the priority is determined based on user needs, the priority command input by the user through the interactive terminal is converted into a corresponding weight value, and the user's pin command corresponds to the highest weight value.

[0188] If the priority is determined based on the system's operating status, it is then dynamically adjusted according to the equipment's health and pipeline pressure parameters. Equipment with low health is given a lower priority, and areas with abnormal pipeline pressure are given a lower priority.

[0189] In one possible implementation of this application embodiment, the control module 43 is further configured to:

[0190] Set initial weights for at least two of the following: living scenarios, functional attributes, real-time environmental risks, energy efficiency, user needs, and system operating status;

[0191] Real-time collection of state parameters for each dimension, and dynamic updating of the initial weights of each dimension based on the state parameters;

[0192] After normalizing the status parameters, the priority of each indoor terminal device is obtained by weighted summation based on the updated initial weights.

[0193] It should be understood that the above-described device embodiments are merely illustrative, and the device of this application can also be implemented in other ways. For example, the division of units / modules in the above embodiments is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple units, modules, or components may be combined, or integrated into another system, or some features may be ignored or not executed.

[0194] This application provides an electronic device. Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application, such as... Figure 5 As shown, Figure 5 The illustrated electronic device includes at least one processor 51 and a memory 52. ​​The processor 51 and the memory 52 are connected, for example, via a bus 53. Optionally, the electronic device may also include a transceiver 54. It should be noted that in practical applications, the transceiver 54 is not limited to one, and the structure of this electronic device does not constitute a limitation on the embodiments of this application.

[0195] Processor 51 may be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 51 may also be a combination that implements computational functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0196] Bus 53 may include a pathway for transmitting information between the aforementioned components. Bus 53 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. Bus 53 may be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0197] The memory 52 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0198] The memory 52 is used to store computer execution instructions for implementing the scheme of this application, and the execution is controlled by the processor 51. The processor 51 is used to execute the computer execution instructions stored in the memory 52 to implement the content shown in the foregoing method embodiments.

[0199] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the methods in any of the above method embodiments.

[0200] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0201] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0202] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0203] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0204] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0205] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0206] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0207] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0208] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A control method for multi-unit systems, characterized in that, The method includes: Obtain the difference between the target required temperature and the current actual temperature in the area corresponding to each indoor terminal device at the current moment, as well as the living scenario associated with the area; Based on the difference after compensation for the living scenario, the refrigerant demand information of each indoor terminal device is calculated; wherein, if the living scenario is a resting scenario, the difference is reverse compensated, so that the difference is reduced towards zero by a preset reverse compensation value, and the refrigerant demand information of each indoor terminal device is calculated based on the compensated difference. If the living scenario is a sports scenario, then the difference is positively compensated, and the difference is increased by a preset positive compensation value in the direction of increase. Based on the compensated difference, the refrigerant demand information of each indoor terminal device is calculated. If the living scenario is a home-away scenario, then the difference is zero-compensated, the difference is set to zero, and the refrigerant demand information of each indoor terminal device is calculated according to the requirement to put each indoor terminal device into a shut-off or minimum energy consumption operation state. Based on the current device priority of each indoor terminal device, adjust the valve opening of each indoor terminal device according to the refrigerant demand information; Based on the total refrigerant demand information of each indoor terminal device, adjust the main unit to match the output load of the main unit with the total refrigerant demand information; The device priority is dynamically determined based on at least two of the following: the living scenario, functional attributes, real-time environmental risks, energy efficiency, user needs, and system operating status. The method further includes: Initial weights are set for at least two of the following: the life scenario, the functional attribute, the real-time environmental risk, the energy efficiency, the user needs, and the system operating status. The state parameters of each dimension are collected in real time, and the initial weights of each dimension are dynamically updated based on the state parameters. After normalizing the state parameters, the priority of each indoor terminal device is obtained by weighted summation based on the updated initial weights.

2. The method according to claim 1, characterized in that, The life scenarios include at least one of the following: resting scenarios, sports scenarios, and scenarios away from home.

3. The method according to claim 1 or 2, characterized in that, The step of calculating the refrigerant demand information for each indoor terminal device based on the difference after compensation according to the living scenario includes: For any indoor terminal device, if the target area contains only one indoor terminal device, the load required by the target area per unit time is calculated based on the compensated difference, the area parameter of the target area and the environmental heat transfer coefficient. Based on the load and the heat exchange per unit flow of the refrigerant in the system, the refrigerant demand flow rate at the current moment is calculated to obtain the refrigerant demand information. If the target area contains at least two indoor terminal devices, then the unified compensated difference of the target area is determined based on the compensated difference corresponding to each indoor terminal device in the target area. Based on the difference after unified compensation, the area parameters of the target area and the environmental heat transfer parameters, calculate the total regional load required by the target area per unit time. Based on the proportion of the indoor terminal equipment's adjustment capacity, the total load of the area, and the unit flow heat exchange of the system, the refrigerant demand flow of the indoor terminal equipment is calculated to obtain the refrigerant demand information.

4. The method according to claim 3, characterized in that, The calculation obtains the refrigerant demand flow rate at the current moment, in order to obtain the refrigerant demand information, including: Based on the duration of the described living scenario and the historical load change curves for the same period, the trend of refrigerant demand flow rate changes within a preset time period is predicted. Based on the trend of refrigerant demand flow, the total future forecast flow of the region is generated. Combined with the adjustment capacity ratio of indoor terminal devices, the total future forecast flow of the region is allocated to each indoor terminal device to obtain the future forecast flow of each indoor terminal device. For any indoor terminal device, the refrigerant demand information is generated based on the current refrigerant demand flow rate and the predicted future flow rate.

5. The method according to claim 1 or 2, characterized in that, The method also includes If the priority is determined based on the life scenario, then the life scenario is mapped to a preset scenario priority coefficient, wherein the resting scenario corresponds to the first coefficient, the exercise scenario corresponds to the second coefficient, and the away-from-home scenario corresponds to the third coefficient, and the first coefficient is the largest and the third coefficient is the smallest; If the priority is determined based on the functional attributes, then the basic priority weights are allocated according to the functional necessity level of the region, wherein the weight of residential space is higher than that of activity space, and the weight of activity space is higher than that of auxiliary space. If the priority is determined based on the real-time environmental risk, then when the temperature and humidity of the area exceed the safety threshold, the emergency priority is triggered and set to the top. After the emergency environmental risk is eliminated, the priority is restored to the original priority. If the priority is determined based on the energy consumption efficiency, then the marginal benefit of load adjustment in each region is calculated, and the region with higher marginal benefit is given priority. The marginal benefit is the improvement in temperature and humidity per unit of energy consumption. If the priority is determined based on the user's needs, the priority command input by the user through the interactive terminal is converted into a corresponding weight value, and the user's pinning command corresponds to the highest weight value. If the priority is determined based on the system's operating status, it is dynamically adjusted according to the equipment health and pipeline pressure parameters. Equipment with low health is given a lower priority, and areas with abnormal pipeline pressure are given a lower priority.

6. A control device for use in a multi-connected system, characterized in that, The device includes: The acquisition module is used to acquire the difference between the target required temperature and the current actual temperature of the corresponding area of ​​each indoor terminal device at the current moment, as well as the living scenario associated with the area. The calculation module is used to calculate the refrigerant demand information of each indoor terminal device based on the difference after compensation based on the living scenario; The control module is used to adjust the valve opening of each indoor terminal device according to the refrigerant demand information based on the current device priority of each indoor terminal device. The control module is also used to adjust the main unit according to the total refrigerant demand information of each indoor terminal device so that the output load of the main unit matches the total refrigerant demand information; The device priority is dynamically determined based on at least two of the following: the living scenario, functional attributes, real-time environmental risks, energy efficiency, user needs, and system operating status. The control module is also used for: Initial weights are set for at least two of the following: the life scenario, the functional attribute, the real-time environmental risk, the energy efficiency, the user needs, and the system operating status. The state parameters of each dimension are collected in real time, and the initial weights of each dimension are dynamically updated based on the state parameters. After normalizing the state parameters, the priority of each indoor terminal device is obtained by weighted summation based on the updated initial weights.

7. An electronic device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-5.

9. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-5.

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