A system for controlling a combined indoor overall thermal environment and local thermal conditioning device

Abstract

The application provides a kind of for indoor overall thermal environment and local heat regulating linkage equipment control system, including parameter acquisition module: for collecting and recording each real-time indoor parameter;Linkage logic calculation module: for analyzing local and overall heat demand, calculating background temperature regulation expectation value;Heat regulating equipment module: for regulating background temperature, so as to reach temperature expectation value, satisfy indoor thermal environment demand.The application utilizes the pairing control connection of internet of things infrared remote controller and PECS equipment, by setting parameter acquisition module, linkage logic calculation module and heat regulating equipment module, so that it can intelligently regulate background thermal environment regulating equipment according to user heat demand, realize high comfort, low carbonization, healthy background thermal environment regulating equipment control.

Description

Technical Field

[0001] This invention relates to the field of indoor environmental thermal comfort technology, and in particular to a control system and method for linkage between overall indoor thermal environment and local thermal regulation equipment. Background Technology

[0002] A Personalized Environmental Control System (PECS) is a system that allows for the control of a workstation's local environment based on individual preferences, including functions such as heating, cooling, ventilation, lighting, and acoustics. Compared to traditional whole-room conditioning, PECS can significantly improve individual comfort and health, and substantially increase the energy efficiency of the entire HVAC system.

[0003] Market research has found that most commercially available PECS devices can be controlled via IoT infrared remote controls, and their data can be accessed via WiFi networks. Using an IoT infrared remote control as an intermediary, PECS devices can be indirectly connected, enabling real-time control via a smartphone app. IoT infrared remote controls, as a common technology, are widely used in products with infrared remote control functionality (such as wall-mounted air conditioners, televisions, and projectors), and their scalability to other types of PECS devices shows great promise. The pairing process is very simple: just point a regular infrared remote control at the IoT infrared remote control transmitter, thus granting the IoT infrared remote control control access to the device.

[0004] Therefore, it is necessary to propose a system and control method for the linkage of overall thermal environment and local thermal regulation in office settings. By using the corresponding control logic, the environmental detection and thermal environment regulation equipment in the indoor setting can be linked together to find a more optimized indoor thermal environment solution, thereby improving the energy efficiency of the entire heating, ventilation and air conditioning (HVAC) system. Summary of the Invention

[0005] The purpose of this invention is to provide a device control system that can intelligently adjust the background thermal environment adjustment equipment according to the user's thermal needs.

[0006] To achieve the above objectives, this invention proposes a control system for the linkage of overall indoor thermal environment and local thermal regulation, comprising the following modules:

[0007] Parameter acquisition module: used to collect and record various real-time indoor parameters;

[0008] Linkage logic calculation module: It is connected to the parameter acquisition module via a host computer and is used to analyze local and overall heat demand and calculate the expected value of background temperature control.

[0009] Thermal regulation equipment module: It is connected to the linkage logic calculation module via an IoT infrared remote control to regulate the background temperature, thereby achieving the desired temperature value and meeting the indoor thermal environment requirements.

[0010] Furthermore, the parameter acquisition module is connected to the host computer via a router, and the host computer is connected to the thermal regulation equipment module via an IoT infrared remote controller. The IoT infrared remote controller is paired with the thermal regulation equipment module.

[0011] The parameter acquisition module collects various indoor parameters through data acquisition devices and methods. The collected parameters are transmitted to the host computer (mobile phone or computer APP) via a router. Then, the logic control and calculation module in the host computer (mobile phone or computer APP) analyzes and calculates the parameters. The calculated adjustment expectation value is transmitted to the thermal regulation equipment module via an IoT infrared remote control, thereby controlling the thermal regulation equipment to perform control and adjustment.

[0012] Furthermore, the parameter acquisition module collects various indoor parameters through acquisition devices and methods, including environmental parameters, the usage status of thermal regulation equipment, and the thermal comfort of personnel.

[0013] Furthermore, in the parameter acquisition module, environmental parameters are acquired through a distributed environmental monitor, including indoor temperature, indoor humidity, personnel location, light intensity, and indoor air quality.

[0014] Furthermore, the linkage logic calculation module includes a local thermal regulation analysis submodule and an overall thermal regulation analysis submodule; the overall thermal regulation analysis submodule calculates the upper and lower limits of thermal comfort temperature according to the empirical formula in CIBSE Guide A, and then obtains the final adjustment scheme by comparing the number of units in the comfort zone and the uncomfortable zone; the local thermal regulation analysis submodule calculates the expected temperature change value through local thermal comfort demand data.

[0015] Furthermore, the control method based on the aforementioned control system for the linkage between the overall indoor thermal environment and local thermal regulation includes the following steps:

[0016] S1: Collect environmental parameters, equipment usage, and personnel thermal comfort status through the parameter acquisition module;

[0017] S2: Through the linkage logic calculation module, the collected parameters are used to perform local thermal control analysis and overall thermal control analysis to obtain the local expected temperature change value and the overall thermal control temperature range.

[0018] S3: Based on the overall thermal control temperature range and the local desired temperature change value, adjust the background temperature through the thermal control device module. If the desired value is not reached, repeat steps S1-S3. If the desired value is reached, end the adjustment.

[0019] Furthermore, in step S2, the method for overall thermal regulation analysis is as follows:

[0020] The upper and lower limits of the temperature comfort zone are determined based on environmental parameters, equipment operating conditions, and personnel thermal comfort perception, and the number of units belonging to the comfort zone is obtained.

[0021] 2) Compare the number of units in the comfort zone and the non-comfort zone: If the number of units in the comfort zone is greater than that in the non-comfort zone, the overall temperature remains unchanged; otherwise, calculate the difference between the upper and lower limits of each unit and the closest comfort zone. Based on the obtained difference, multiple adjustment schemes are obtained, and the scheme with the most comfort zone rooms is selected as the final adjustment scheme.

[0022] Furthermore, in step S2, the method for local thermal regulation analysis is as follows:

[0023] Adjust the local temperature of each PECS device according to the initial set temperature, and record the temperature adjustment value of each PECS device;

[0024] Determine whether the sum of the temperature adjustment values ​​of each PECS device is within the total temperature adjustment range: if it is within the range, set the initial setting scheme as the final adjustment scheme; otherwise, adjust according to the linkage logic.

[0025] Furthermore, step S3 specifically involves: adjusting the indoor temperature to the overall thermal control temperature range and the local desired temperature change value based on the overall thermal control temperature range, and determining whether the desired value has been reached: if the desired value has been reached, the adjustment ends; otherwise, steps S1-S3 are repeated.

[0026] Compared with the prior art, the advantages of the present invention are:

[0027] 1. This invention utilizes the pairing and control connection between an IoT infrared remote controller and a PECS device. By setting a parameter acquisition module, a linkage logic calculation module, and a thermal regulation device module, it enables the device to intelligently regulate the background thermal environment according to the user's thermal needs, thereby achieving high-comfort, low-carbon, and healthy background thermal environment regulation device control.

[0028] 2. This invention combines overall thermal analysis and local thermal analysis to ensure that as many rooms as possible are within the comfort zone, while also significantly adjusting the temperature distribution in different rooms. Attached Figure Description

[0029] Figure 1This is a flowchart of the control system for the linkage between the overall indoor thermal environment and local thermal regulation, as described in an embodiment of the present invention.

[0030] Figure 2 This is a schematic diagram of the parameter acquisition module in the control system of this invention.

[0031] Figure 3 This is a schematic diagram of the overall thermal regulation analysis method of the linkage logic calculation module in the control system of this invention.

[0032] Figure 4 This is a schematic diagram of the local thermal regulation analysis method of the linkage logic calculation module in the control system of this invention. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be further described below.

[0034] This embodiment proposes a control system for the linkage of overall indoor thermal environment and local thermal regulation equipment, mainly applied in office settings, such as... Figure 1 As shown, the system includes a parameter acquisition module, a linkage logic calculation module, and a thermal regulation device module.

[0035] The parameter acquisition module collects and records various real-time indoor parameters through acquisition devices and methods. In this embodiment, for example... Figure 2 As shown, distributed environmental detectors and PECS devices are interconnected to capture and adjust uneven environments in both spatial and temporal dimensions. The data acquisition devices include distributed environmental monitors and device parameter sensors. The distributed environmental monitors acquire environmental parameters, primarily including indoor temperature and humidity, personnel location, and other environmental parameters (light intensity, indoor air quality, etc.). The device parameter sensors acquire the usage status of each thermal regulation PECS device (desktop fan, leg heater, air conditioner). A personnel thermal comfort voting method is used to collect indoor personnel's thermal comfort perceptions. The connection between the parameter sensors and the regulation devices is achieved through an IoT infrared remote control connected to a router.

[0036] The real-time indoor parameters collected by the parameter acquisition module are transmitted to a smartphone app via a router. The IoT infrared remote control is paired and connected with each thermal regulation PECS device, and real-time control is performed through the linkage logic calculation module in the smartphone app.

[0037] In this embodiment, the linkage logic calculation module includes a local thermal regulation analysis submodule and a global thermal regulation analysis submodule. The global thermal regulation analysis submodule calculates the upper and lower limits of thermal comfort temperature according to the empirical formula in CIBSE Guide A, and then obtains the final adjustment scheme by comparing the number of units in the comfort zone and the uncomfortable zone. The local thermal regulation analysis submodule calculates the expected temperature change value using local thermal comfort demand data. This linkage logic calculation module uses the collected parameters to perform local thermal regulation analysis and global thermal regulation analysis respectively, calculating the local expected temperature change value and the overall expected temperature range for thermal regulation. The specific method is as follows:

[0038] 1) Conduct overall thermal regulation analysis, such as Figure 3 As shown:

[0039] 1.1) Using the collected parameters (environmental parameters, equipment operating status, and personnel thermal comfort perception), calculate the upper and lower limits of the thermal comfort temperature range according to the empirical formula in CIBSE Guide A, and determine the upper and lower limits of the temperature comfort zone [T]. 下限 ,T 上限 [and obtain the number N of units belonging to the comfort zone] in The number of comfort zones and uncomfortable zones is counted and denoted as N. in N out .

[0040] 1.2) Compare the number of units in the comfort zone and the uncomfortable zone: If the number of units in the comfort zone is greater than that in the uncomfortable zone, i.e., N in >N out If N is constant, the overall temperature remains unchanged, maintaining its original temperature; conversely, if N is constant... in <N out The difference between the upper and lower limits of each unit and the closest comfort zone is calculated using the following formula:

[0041] ;

[0042] ;

[0043] Among them, D i T represents the required temperature adjustment. i,调整后 This represents the adjusted temperature;

[0044] Based on the obtained limit values, several adjustment schemes are derived. The scheme with the most comfort zone rooms is selected as the final adjustment scheme, expressed by the following formula: .

[0045] 2) Perform local thermal regulation analysis, such as Figure 4 As shown:

[0046] 2.1) Set the temperature T for each PECS device according to the initial set temperature.设置 Adjust the local temperature and record the temperature adjustment value of each PECS device. The temperature adjustment value of PECS1 is recorded as ∆T1, and the temperature adjustment value of PECS2 is recorded as ∆T2; PECS i The temperature adjustment value is denoted as ∆T i ;

[0047] 2.2) Calculate the sum of the temperature adjustment values ​​for each PECS device. , among which, T 低 T represents the lower limit temperature of the total temperature adjustment range. 高 This represents the upper limit temperature of the overall temperature adjustment zone;

[0048] 2.3) Determine the sum of the temperature adjustment values ​​∑∆T for each PECS device. i Is it within the overall temperature adjustment range? If it is within the range, then set the initial temperature T. 设置 Set as the final adjusted temperature T ， 设置 =T 设置 Conversely, adjustments will be made according to the linkage logic, and the adjustment method is as follows:

[0049] If ∑∆T i >T 高 The final adjusted temperature T ， 设置 =T 设置 +T 高 If ∑∆T i <T 低 The final adjusted temperature T ， 设置 =T 设置 +T 低 .

[0050] The adjusted temperature obtained above is transmitted to the thermal regulation equipment module. Based on the overall final adjustment plan and the local expected temperature change, the thermal regulation equipment module intelligently controls the background and local thermal regulation equipment to control the temperature bar within the required range. Then it determines whether the expected range has been reached. If not, the above steps of parameter acquisition, linkage logic calculation, and thermal regulation equipment are repeated. If the expected temperature range is reached, intelligent regulation is successfully achieved, the expected temperature value is reached, and the indoor thermal environment requirements are met.

[0051] The above are merely preferred embodiments of the present invention and do not constitute any limitation on the present invention. Any equivalent substitutions or modifications made by those skilled in the art to the technical solutions and content disclosed in the present invention without departing from the scope of the present invention shall be deemed to have remained within the protection scope of the present invention.

Claims

1. A method for controlling a linkage device for overall indoor thermal environment and local thermal regulation, characterized in that, Includes the following steps: S1: Collect environmental parameters, equipment usage, and personnel thermal comfort status through the parameter acquisition module; S2: Through the linkage logic calculation module, the collected parameters are used to perform local thermal control analysis and overall thermal control analysis to obtain the local expected temperature change value and the overall thermal control temperature range. S3: Based on the overall thermal control temperature range and the local desired temperature change value, adjust the background temperature through the thermal control device module. If the desired value is not reached, repeat steps S1-S3. If the desired value is reached, end the adjustment. In step S2, the method for overall thermal regulation analysis is as follows: 1) Determine the upper and lower limits of the temperature comfort zone based on environmental parameters, equipment operating conditions, and personnel thermal comfort perception, and obtain the number of units belonging to the comfort zone; 2) Compare the number of units in the comfort zone and the uncomfortable zone: If the number of units in the comfort zone is greater than that in the uncomfortable zone, the overall temperature remains unchanged; Conversely, the difference between each unit and the upper and lower limits of the temperature comfort zone is calculated, and multiple adjustment schemes are obtained based on the obtained differences. The scheme with the most comfort zone rooms is selected as the final adjustment scheme. The method for local thermal regulation analysis is as follows: 1) Each personalized environmental control system device is configured according to the initial set temperature T. 设置 Adjust the local temperature and record the temperature adjustment value ∆T for each individual environmental control system device. i ; 2) Calculate the sum of the temperature adjustment values ​​∑∆T for each personalized environmental control system device. i ; 3) Determine the sum of the temperature adjustment values ​​∑∆T for each individual environmental control system device. i Is it within the total temperature adjustment range [T]? 低 ,T 高 ], where T 低 T represents the lower limit temperature of the total temperature adjustment range. 高 This represents the upper limit temperature of the total temperature adjustment range; If it is within the range, then set the initial temperature T. 设置 Set to the final adjusted temperature T ， 设置 =T 设置 ; Conversely, the following linkage logic will be applied: if ∑∆T i >T 高 The final adjusted temperature T ， 设置 =T 设置 +T 高 If ∑∆T i <T 低 The final adjusted temperature T ， 设置 =T 设置 +T 低 .

2. The control method for the linkage between the overall indoor thermal environment and local thermal regulation equipment according to claim 1, step S3 specifically involves: adjusting the indoor temperature to the overall thermal regulation temperature range and the local desired temperature change value according to the overall thermal regulation temperature range, and determining whether the desired value has been reached: if the desired value has been reached, the adjustment ends; otherwise, steps S1-S3 are repeated.

3. A control system for a linkage device for overall indoor thermal environment and local thermal regulation, used to implement the control method as described in any one of claims 1-2, characterized in that, Includes the following modules: Parameter acquisition module: used to collect and record various real-time indoor parameters; Linkage logic calculation module: It is connected to the parameter acquisition module via a host computer and is used to analyze local and overall heat demand and calculate the expected value of background temperature control. Thermal regulation equipment module: It is connected to the linkage logic calculation module via an IoT infrared remote control to regulate the background temperature, thereby achieving the desired temperature value and meeting the indoor thermal environment requirements.

4. The control system for the linkage between overall indoor thermal environment and local thermal regulation according to claim 3, characterized in that, The parameter acquisition module is connected to the host computer via a router, and the host computer is connected to the thermal regulation equipment module via an IoT infrared remote controller. The IoT infrared remote controller is paired with the thermal regulation equipment module.

5. The control system for the linkage of overall indoor thermal environment and local thermal regulation according to claim 3, characterized in that, The parameter acquisition module collects various indoor parameters through acquisition devices and methods. These indoor parameters include environmental parameters, the usage status of thermal control equipment, and the thermal comfort of personnel.

6. The control system for the linkage between overall indoor thermal environment and local thermal regulation as described in claim 5, characterized in that, The parameter acquisition module acquires environmental parameters through a distributed environmental monitor, including indoor temperature, indoor humidity, personnel location, light intensity, and indoor air quality.

7. The control system for the linkage between overall indoor thermal environment and local thermal regulation according to claim 3, characterized in that, The linkage logic calculation module includes a local thermal regulation analysis submodule and an overall thermal regulation analysis submodule. The overall thermal regulation analysis submodule calculates the upper and lower limits of thermal comfort temperature according to the empirical formula in CIBSE Guide A, and then obtains the final adjustment scheme by comparing the number of units in the comfort zone and the uncomfortable zone. The local thermal regulation analysis submodule calculates the expected temperature change value through local thermal comfort demand data.

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