Indoor temperature automatic adjustment method and device based on air flow analysis

Abstract

The present invention discloses an indoor temperature automatic adjustment method and device based on air flow analysis, and relates to the technical field of air temperature adjustment. The method comprises: segmenting the indoor space to be detected at key points and laying out an indoor air flow detection network, thereby collecting and obtaining a set of air flow detection data streams of N space blocks for air flow simulation, and obtaining a temperature distribution trend of the indoor air flow; marking the area to be adjusted based on the indoor temperature threshold, and obtaining a set of temperature parameters of the area to be adjusted; and performing correlation analysis on the set of temperature parameters of the area to be adjusted based on a temperature adjustment center device, and determining a set of temperature adjustment control parameters to adjust and feedback control the indoor space to be detected. The method achieves the technical effect of realizing personalized adjustment of indoor temperature by analyzing the air flow situation, improving the accuracy and applicability of the temperature adjustment control parameters, and thus ensuring the efficiency of automatic temperature adjustment and the requirements of environmental comfort.

Description

Technical Field

[0001] The present invention relates to the technical field of air temperature regulation, and in particular to an automatic indoor temperature regulation method and equipment based on air flow analysis. Background Art

[0002] With the improvement of the quality of life, people's requirements for indoor environment are becoming increasingly stringent. Among them, temperature is one of the important factors affecting the comfort of indoor environment. Ensuring the suitability of indoor temperature has become an important task for modern home design and indoor environment regulation. Existing indoor temperature regulation methods mostly rely on manual setting and adjustment, which is not only inefficient but also has low regulation accuracy. Therefore, being able to automatically and accurately adjust the indoor temperature has important practical application value. Summary of the invention

[0003] The present application solves the technical problems of low efficiency and low adjustment accuracy of indoor temperature adjustment in the prior art by providing an automatic indoor temperature adjustment method and equipment based on air flow analysis, thereby achieving personalized adjustment of indoor temperature by analyzing air flow conditions, improving the accuracy and applicability of temperature adjustment control parameters, and thereby ensuring the technical effect of automatic temperature adjustment efficiency and environmental comfort requirements.

[0004] In view of the above problems, the present invention provides an automatic indoor temperature adjustment method and device based on air flow analysis.

[0005] In a first aspect, the present application provides an automatic indoor temperature adjustment method based on air flow analysis, the method comprising: obtaining an indoor space to be detected, dividing the indoor space to be detected at key points to obtain N indoor space blocks; respectively deploying indoor air flow detection networks based on the N indoor space blocks, the indoor air flow detection network comprising an air flow detector and a temperature sensor; acquiring a set of air flow detection data streams of N space blocks through the indoor air flow detection network, performing air flow simulation on the indoor space to be detected based on the set of air flow detection data streams of the N space blocks, and obtaining a trend of indoor air flow temperature distribution; setting an indoor temperature threshold according to indoor environmental requirements and a range of comfort requirements, marking the area to be adjusted based on the indoor temperature threshold for the indoor air flow temperature distribution trend, and obtaining a set of temperature parameters for the area to be adjusted; performing correlation analysis on the set of temperature parameters of the area to be adjusted based on a temperature adjustment center device, determining a set of temperature adjustment control parameters, and adjusting and feedback controlling the indoor space to be detected through the set of temperature adjustment control parameters.

[0006] On the other hand, the present application also provides an indoor temperature automatic regulation device based on air flow analysis, the device comprising: a key point segmentation module, used to obtain the indoor space to be detected, perform key point segmentation on the indoor space to be detected, and obtain N indoor space blocks; a detection network layout module, used to respectively layout indoor air flow detection networks based on the N indoor space blocks, the indoor air flow detection network comprising an air flow detector and a temperature sensor; an air flow simulation module, used to collect and obtain a set of air flow detection data streams of N space blocks through the indoor air flow detection network, based on the air flow detection of the N space blocks The data stream set simulates the air flow of the indoor space to be detected to obtain the indoor air flow temperature distribution trend; the adjustment area marking module is used to set the indoor temperature threshold according to the indoor environment requirements and the comfort requirement range, mark the area to be adjusted based on the indoor temperature threshold for the indoor air flow temperature distribution trend, and obtain the temperature parameter set of the area to be adjusted; the temperature adjustment feedback control module is used to perform correlation analysis on the temperature parameter set of the area to be adjusted based on the temperature adjustment center equipment, determine the temperature adjustment control parameter set, and adjust the indoor space to be detected through the temperature adjustment control parameter set. Feedback control.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] Due to the adoption of key point segmentation of the indoor space to be detected, N indoor space blocks are respectively equipped with indoor air flow detection networks, so as to collect and obtain N space block air flow detection data stream sets, and perform air flow simulation on the indoor space to be detected based on the N space block air flow detection data stream sets to obtain the indoor air flow temperature distribution trend, and then mark the area to be adjusted based on the indoor temperature threshold, and obtain the temperature parameter set of the area to be adjusted; based on the temperature adjustment center equipment, the temperature parameter set of the area to be adjusted is analyzed for correlation, and the temperature adjustment control parameter set is determined to adjust the indoor space to be detected. The technical solution of feedback control. Then, the personalized adjustment of indoor temperature is achieved by analyzing the air flow situation, the accuracy and applicability of the temperature adjustment control parameters are improved, and the technical effect of ensuring the efficiency of automatic temperature adjustment and the requirements of environmental comfort is achieved.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1This is a flow chart of the method for automatically adjusting indoor temperature based on air flow analysis in this application;

[0011] Figure 2 A schematic diagram of a process for obtaining N indoor space blocks in the indoor temperature automatic adjustment method based on air flow analysis of this application;

[0012] Figure 3 This is a schematic diagram of the structure of the indoor temperature automatic adjustment device based on air flow analysis in this application.

[0013] Explanation of the reference numerals: key point segmentation module 11 , detection network layout module 12 , air flow simulation module 13 , adjustment area marking module 14 , temperature adjustment feedback control module 15 . DETAILED DESCRIPTION

[0014] The present application solves the technical problems of low efficiency and low adjustment accuracy of indoor temperature adjustment in the prior art by providing an automatic indoor temperature adjustment method and equipment based on air flow analysis, thereby achieving personalized adjustment of indoor temperature by analyzing air flow conditions, improving the accuracy and applicability of temperature adjustment control parameters, and thereby ensuring the technical effect of automatic temperature adjustment efficiency and environmental comfort requirements.

[0015] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0016] The present application is described below in conjunction with the drawings in the present application. Embodiment 1

[0017] like Figure 1 As shown, the present application provides an automatic indoor temperature adjustment method based on air flow analysis, the method comprising:

[0018] Step S1: Acquire an indoor space to be detected, and segment the indoor space to be detected at key points to obtain N indoor space blocks.

[0019] like Figure 2 As shown, further, the steps of obtaining N indoor space blocks in this application also include:

[0020] Based on the layout parameter information of the indoor space to be detected, a three-dimensional model of the indoor space is constructed, and the three-dimensional model of the indoor space is marked according to the usage function attributes to obtain a set of indoor space function attributes; the three-dimensional model of the indoor space is classified according to the structural distribution attributes to obtain a set of indoor space structure attributes; based on the set of indoor space function attributes and the set of indoor space structure attributes, the three-dimensional model of the indoor space is labeled to generate a labeled set of indoor space areas; based on the labeled set of indoor space areas, the indoor space to be detected is segmented at key points to obtain the N indoor space blocks.

[0021] Specifically, in order to realize personalized adjustment of indoor temperature, first obtain the indoor space to be detected, which is the indoor space to be automatically adjusted in temperature, such as home indoor space, office space, dining indoor space, etc. The indoor space to be detected is segmented at key points, and first the layout parameter information of the indoor space to be detected is obtained through the indoor space construction drawings, and the layout parameter information includes indoor place distribution and spatial position, indoor item distribution and structural size, etc. The layout parameter information is spatially modeled using three-dimensional modeling technology to construct a three-dimensional model of the indoor space, and the three-dimensional model of the indoor space is used to visualize the distribution information of the indoor space to be detected. Different indoor space areas have different comfort temperature requirements, so each space area in the three-dimensional model of the indoor space is attributed according to the use of functional attributes to obtain a corresponding set of indoor space functional attributes, such as bedroom area, kitchen area, living room area, etc.

[0022] At the same time, the three-dimensional model of the indoor space is classified according to the structural distribution attributes, and the areas with the same spatial structure layout are classified into one category, such as closed areas, corridor corner areas, etc., so as to obtain a classified set of indoor space structural attributes. Based on the set of indoor space functional attributes and the set of indoor space structural attributes, the three-dimensional model of the indoor space is labeled, that is, each indoor space area is labeled with a labeled type using functional attributes and structural distribution attributes to generate a corresponding labeled set of indoor space areas. Based on the labeled set of indoor space areas, the key points of the indoor space to be detected are segmented, and the areas with the same spatial area labels are segmented into a spatial key point for subsequent monitoring and analysis of the air flow in the key area, thereby obtaining N indoor space blocks after the indoor space to be detected is segmented. Through the labeled classification of indoor space areas, the segmentation of key points of spatial areas is realized, thereby ensuring the fine personalized control of indoor space temperature.

[0023] Step S2: indoor air flow detection networks are respectively arranged based on the N indoor space blocks, and the indoor air flow detection network includes an air flow detector and a temperature sensor.

[0024] Specifically, indoor air flow detection networks are respectively arranged for the N indoor space blocks. The indoor air flow detection network is used to perform all-round monitoring of the air flow conditions in each indoor space. It specifically includes an air flow detector for monitoring the air flow velocity, flow direction, etc. of the indoor space; and a temperature sensor for monitoring the temperature distribution parameters of the indoor space.

[0025] Step S3: Acquire N spatial block air flow detection data stream sets through the indoor air flow detection network, perform air flow simulation on the indoor space to be detected based on the N spatial block air flow detection data stream sets, and obtain the indoor air flow temperature distribution trend.

[0026] Furthermore, the step of obtaining the indoor air flow temperature distribution trend in this application also includes:

[0027] Acquire air flow attribute information, wherein the air flow attribute information includes air flow velocity, air flow direction and spatial temperature distribution; classify and mark the N spatial block air flow detection data flow sets based on the air flow attribute information to obtain N spatial block air flow attribute data flow sets; define simulation boundary conditions, assign parameters to the indoor space three-dimensional model through the simulation boundary conditions to obtain the indoor space simulation model; use twin simulation technology to map and simulate the N spatial block air flow attribute data flow sets with the indoor space simulation model to obtain the indoor air flow temperature distribution trend.

[0028] Specifically, the air flow conditions of the N indoor space blocks are monitored through the indoor air flow detection network, and the corresponding N space block air flow detection data flow sets are collected and obtained. Based on the N space block air flow detection data flow sets, the air flow simulation of the indoor space to be detected is performed, and air flow attribute information is first obtained. The air flow attribute information is the type of condition indicator of air flow monitoring data, including air flow velocity, air flow direction, and space temperature distribution. Based on the air flow attribute information, the N space block air flow detection data flow sets are classified and marked to obtain the attribute-marked N space block air flow attribute data flow sets.

[0029] The simulation boundary conditions are defined by the current application of the indoor space to be detected, and the simulation boundary conditions include the thermal conductivity and surface temperature of the indoor space objects, airflow patterns, indoor obstacle structures such as walls, and the opening status of doors and windows. The parameters of the indoor space three-dimensional model are assigned by the simulation boundary conditions, and the indoor space simulation model loaded with the simulation boundary conditions is obtained to improve the accuracy of model simulation. Then, the twin simulation technology is used to map the N space block air flow attribute data stream sets with the indoor space simulation model to the corresponding indoor space blocks. The indoor temperature change trend of each space block under different current air flow conditions is simulated by digital twins to obtain the indoor air flow temperature distribution trend corresponding to the N indoor space blocks. Targeted temperature trend prediction of each indoor space area is achieved, the accuracy of indoor temperature simulation is improved, and the applicability and accuracy of subsequent temperature adjustment are ensured.

[0030] Step S4: according to the indoor environment requirements and the comfort requirements, an indoor temperature threshold is set, and based on the indoor temperature threshold, the indoor air flow temperature distribution trend is marked as an area to be adjusted, and a set of temperature parameters of the area to be adjusted is obtained.

[0031] Furthermore, the step of obtaining the set of temperature parameters of the area to be adjusted also includes:

[0032] Based on the indoor temperature threshold, a temperature adjustment analysis is performed on the temperature distribution trend of the indoor air flow to obtain N indoor temperature touch-line adjustment durations; when the N indoor temperature touch-line adjustment durations are within a preset tolerance adjustment duration, an indoor temperature adjustment program is started; through the indoor temperature adjustment program, an area to be adjusted is extracted from the indoor space to be detected to determine a set of indoor space blocks to be adjusted; based on the preset temperature adjustment duration, a temperature prediction mark is performed on the set of indoor space blocks to be adjusted to obtain a set of temperature parameters of the area to be adjusted.

[0033] Specifically, according to the indoor environment requirements and human comfort requirements of each indoor space area, an indoor temperature threshold is set. The indoor temperature threshold includes a preset comfort temperature threshold of each indoor space area. When the threshold is exceeded, it indicates that the current indoor temperature is too high or too low and needs to be adjusted. The area to be temperature adjusted is marked based on the indoor temperature threshold. First, the indoor air flow temperature distribution trend is analyzed for temperature adjustment based on the indoor temperature threshold to obtain N indoor temperature touch-line adjustment durations. The N indoor temperature touch-line adjustment durations are the time taken for the temperature of each space block to change according to its corresponding indoor air flow temperature distribution trend and reach the indoor temperature threshold. When the N indoor temperature touch-line adjustment durations are within the preset tolerance adjustment duration, it indicates that the indoor temperature of the current space block needs to be adjusted, wherein the preset tolerance adjustment duration is the trigger duration of the indoor temperature adjustment. For example, the preset tolerance adjustment time can be set to ten minutes. When the indoor temperature touch-line adjustment time exceeds ten minutes, it indicates that the current temperature trend is stable and no adjustment is required. When it is within ten minutes, it indicates that the current temperature trend changes too fast and the indoor temperature adjustment program needs to be started.

[0034] The indoor temperature adjustment program is used to extract the area to be adjusted within the preset tolerance adjustment time in the indoor space to be detected, and determine the set of indoor space blocks to be adjusted that need automatic temperature adjustment. Then, the temperature prediction mark is performed on the set of indoor space blocks to be adjusted based on the preset temperature adjustment time, wherein the preset temperature adjustment time is the consumption time when the indoor temperature adjustment program is executed, and the temperature of the indoor space block will also change with the indoor air flow temperature distribution trend during this time. Therefore, the predicted change temperature of the set of indoor space blocks to be adjusted is considered according to the preset temperature adjustment time, and the temperature after the trend prediction change is compared and marked with the indoor temperature threshold, and the corresponding set of temperature parameters of the area to be adjusted is obtained, and the set of temperature parameters of the area to be adjusted includes the required adjustment temperature parameters of the set of indoor space blocks to be adjusted, for example, the indoor temperature is increased or decreased by 5 degrees Celsius. By analyzing the air flow situation, the targeted adjustment analysis of the indoor temperature is realized, and the accuracy and applicability of the temperature adjustment control parameters are improved.

[0035] Step S5: performing correlation analysis on the temperature parameter set of the area to be adjusted based on the temperature adjustment central device, determining a temperature adjustment control parameter set, and performing adjustment feedback control on the indoor space to be detected through the temperature adjustment control parameter set.

[0036] Furthermore, the step of determining the temperature adjustment control parameter in this application also includes:

[0037] According to the temperature control center device, N spatial block temperature control units are obtained; based on the N spatial block temperature control units, temperature control data is searched to construct N temperature control parameter spaces; according to the temperature control effect target, a temperature control effect fitness function is constructed; the temperature parameter set of the area to be adjusted is used as a constraint parameter, and based on the temperature control effect fitness function, an associated optimization analysis is performed in each of the N temperature control parameter spaces to determine the temperature control parameter set.

[0038] Furthermore, the application steps also include:

[0039] Based on the indoor space simulation model, a heat diffusion analysis is performed on the temperature adjustment control parameter set to obtain N indoor space heat diffusion coefficients; the temperature impact of the N indoor space blocks is analyzed through the N indoor space heat diffusion coefficients to determine N indoor space temperature gain and loss factors; based on the N indoor space temperature gain and loss factors, the impact correction is performed on the temperature adjustment control parameter set.

[0040] Furthermore, the step of adjusting and feedback controlling the indoor space to be detected by the temperature adjustment control parameter set also includes:

[0041] Based on the temperature adjustment control parameter set, the indoor space to be detected is adjusted, monitored and fed back to obtain the indoor space temperature adjustment effect parameter; the difference between the indoor space temperature adjustment effect parameter and the temperature adjustment effect benchmark is used as the fine-tuning temperature effect parameter; based on the fine-tuning temperature effect parameter, the temperature adjustment control parameter set is adaptively mutated to obtain multiple fine-tuning adjustment control parameter sets, and the multiple fine-tuning adjustment control parameter sets are compared and optimized through the temperature adjustment effect fitness function.

[0042] Specifically, a correlation analysis is performed on the set of temperature parameters of the area to be adjusted based on a temperature adjustment center device, wherein the temperature adjustment center device is an automated device that automatically adjusts heating or cooling according to a set temperature range to keep the ambient temperature within an acceptable range. According to the temperature adjustment center device, the N space block temperature adjustment units composed of its equipment are obtained. The N space block temperature adjustment units are sub-adjustment devices of the temperature adjustment center device and are respectively arranged in the N indoor space blocks. A temperature adjustment data search is performed based on the N space block temperature adjustment units to construct N temperature adjustment parameter spaces. The N temperature adjustment parameter spaces are the historical temperature adjustment data of the N space block temperature adjustment units, including temperature adjustment control parameters such as adjustment mode, wind speed and direction, and operating power, adjustment temperature parameters, and corresponding temperature adjustment effect data.

[0043] Formulate temperature regulation effect targets, which include temperature regulation accuracy, regulation efficiency, regulation energy consumption, etc., which can be determined by yourself, and assign weights to each sub-target according to the temperature regulation effect target, and then perform multivariate function fitting on the temperature regulation effect target through the weight results of each sub-target, and construct a temperature regulation effect fitness function, which is used to evaluate the indoor temperature regulation effect. The greater the fitness, the better the temperature regulation effect of the temperature regulation control parameter. Take the temperature parameter set of the area to be regulated as a constraint parameter, and perform associated optimization analysis in the N temperature regulation parameter spaces based on the temperature regulation effect fitness function to obtain multiple associated temperature regulation control parameter sets that meet the temperature parameter set of the area to be regulated, and then perform effect optimization on multiple associated temperature regulation control parameter sets through the temperature regulation effect fitness function, and determine the temperature regulation control parameter set with the best temperature regulation effect as the indoor space block set to be regulated.

[0044] The structural distribution of the indoor space and the opening state of doors and windows will affect the indoor air circulation, and then affect the indoor heat diffusion and temperature adjustment changes. Therefore, based on the indoor space simulation model, the temperature adjustment control parameter set is simulated for temperature adjustment, and heat diffusion analysis is performed on each indoor space block to be adjusted according to the simulation results to obtain the corresponding N indoor space heat diffusion coefficients. The N indoor space heat diffusion coefficients are the degree of diffusion of indoor space heat exchange caused by air circulation. The larger the coefficient, the greater the degree of heat exchange from the indoor space block to the outside. The temperature impact of the N indoor space blocks is analyzed by the N indoor space heat diffusion coefficients to determine the N indoor space temperature gain and loss factors. The N indoor space temperature gain and loss factors are the temperature changes predicted by heat conduction according to the heat diffusion coefficients. For example, the temperature will increase by 5 degrees Celsius due to heat diffusion. Based on the N indoor space temperature gain and loss factors, the temperature adjustment control parameter set is affected and corrected, for example, the temperature cooling effect of the temperature adjustment control parameters is increased to compensate for the temperature changes caused by heat diffusion. Improve the comprehensiveness and practical applicability of temperature control parameters, thereby ensuring the accuracy of automatic temperature adjustment to meet environmental comfort requirements.

[0045] The indoor space to be detected is regulated and feedback-controlled by the temperature regulation control parameter set, specifically, the indoor space to be detected is regulated, monitored and feedback-controlled based on the temperature regulation control parameter set to obtain indoor space temperature regulation effect parameters, wherein the indoor space temperature regulation effect parameters include current regulation temperature, regulation accuracy, regulation efficiency, regulation energy consumption, etc. The difference between the indoor space temperature regulation effect parameter and the temperature regulation effect benchmark is used as a fine-tuning temperature effect parameter, wherein the fine-tuning temperature effect parameter is a temperature regulation effect that needs to be optimized, for example, the temperature efficiency needs to be improved, wherein the temperature regulation effect benchmark is a preset temperature regulation effect, which can be set according to application requirements.

[0046] Based on the fine-tuning temperature effect parameter, the temperature adjustment control parameter set is adaptively varied to obtain multiple fine-tuning control parameter sets that meet the fine-tuning temperature effect parameter. The multiple fine-tuning control parameter sets are updated temperature adjustment control parameters after the variation and fine-tuning of the temperature adjustment control parameter set to meet the temperature adjustment effect benchmark. The multiple fine-tuning control parameter sets are compared and optimized through the temperature adjustment effect fitness function to screen out the temperature adjustment control parameter with the greatest fitness. Real-time feedback adjustment of indoor temperature is achieved, the accuracy and applicability of temperature adjustment control parameters are improved, and the efficiency of automatic temperature adjustment and environmental comfort requirements are ensured.

[0047] In summary, the indoor temperature automatic adjustment method based on air flow analysis provided by the present application has the following technical effects:

[0048] Due to the adoption of key point segmentation of the indoor space to be detected, N indoor space blocks are respectively equipped with indoor air flow detection networks, so as to collect and obtain N space block air flow detection data stream sets, and perform air flow simulation on the indoor space to be detected based on the N space block air flow detection data stream sets to obtain the indoor air flow temperature distribution trend, and then mark the area to be adjusted based on the indoor temperature threshold, and obtain the temperature parameter set of the area to be adjusted; based on the temperature adjustment center equipment, the temperature parameter set of the area to be adjusted is analyzed for correlation, and the temperature adjustment control parameter set is determined to adjust the indoor space to be detected. The technical solution of feedback control. Then, the personalized adjustment of indoor temperature is achieved by analyzing the air flow situation, the accuracy and applicability of the temperature adjustment control parameters are improved, and the technical effect of ensuring the efficiency of automatic temperature adjustment and the requirements of environmental comfort is achieved. Embodiment 2

[0049] Based on the same inventive concept as the indoor temperature automatic adjustment method based on air flow analysis in the aforementioned embodiment, the present invention also provides an indoor temperature automatic adjustment device based on air flow analysis, such as Figure 3 As shown, the device includes:

[0050] A key point segmentation module 11 is used to obtain the indoor space to be detected, and perform key point segmentation on the indoor space to be detected to obtain N indoor space blocks; a detection network layout module 12 is used to respectively layout indoor air flow detection networks based on the N indoor space blocks, and the indoor air flow detection network includes an air flow detector and a temperature sensor; an air flow simulation module 13 is used to collect and obtain a set of air flow detection data streams of N space blocks through the indoor air flow detection network, perform air flow simulation on the indoor space to be detected based on the set of air flow detection data streams of the N space blocks, and obtain the indoor air flow temperature distribution trend; an adjustment area marking module 14 is used to set an indoor temperature threshold according to indoor environmental requirements and comfort requirements, mark the area to be adjusted based on the indoor temperature threshold, and obtain a set of temperature parameters for the area to be adjusted; a temperature adjustment feedback control module 15 is used to perform correlation analysis on the set of temperature parameters of the area to be adjusted based on a temperature adjustment center device, determine a set of temperature adjustment control parameters, and adjust the indoor space to be detected through the set of temperature adjustment control parameters. Feedback control.

[0051] Furthermore, the key point segmentation module 11 is also used for:

[0052] Based on the layout parameter information of the indoor space to be detected, a three-dimensional model of the indoor space is constructed, and the three-dimensional model of the indoor space is marked according to the usage function attributes to obtain a set of indoor space function attributes; the three-dimensional model of the indoor space is classified according to the structural distribution attributes to obtain a set of indoor space structure attributes; based on the set of indoor space function attributes and the set of indoor space structure attributes, the three-dimensional model of the indoor space is labeled to generate a labeled set of indoor space areas; based on the labeled set of indoor space areas, the indoor space to be detected is segmented at key points to obtain the N indoor space blocks.

[0053] Furthermore, the air flow simulation module 13 is also used for:

[0054] Acquire air flow attribute information, wherein the air flow attribute information includes air flow velocity, air flow direction and spatial temperature distribution; classify and mark the N spatial block air flow detection data flow sets based on the air flow attribute information to obtain N spatial block air flow attribute data flow sets; define simulation boundary conditions, assign parameters to the indoor space three-dimensional model through the simulation boundary conditions to obtain the indoor space simulation model; use twin simulation technology to map and simulate the N spatial block air flow attribute data flow sets with the indoor space simulation model to obtain the indoor air flow temperature distribution trend.

[0055] Furthermore, the adjustment region marking module 14 is also used for:

[0056] Based on the indoor temperature threshold, a temperature adjustment analysis is performed on the temperature distribution trend of the indoor air flow to obtain N indoor temperature touch-line adjustment durations; when the N indoor temperature touch-line adjustment durations are within a preset tolerance adjustment duration, an indoor temperature adjustment program is started; through the indoor temperature adjustment program, an area to be adjusted is extracted from the indoor space to be detected to determine a set of indoor space blocks to be adjusted; based on the preset temperature adjustment duration, a temperature prediction mark is performed on the set of indoor space blocks to be adjusted to obtain a set of temperature parameters of the area to be adjusted.

[0057] Furthermore, the temperature adjustment feedback control module 15 is also used for:

[0058] According to the temperature control center device, N spatial block temperature control units are obtained; based on the N spatial block temperature control units, temperature control data is searched to construct N temperature control parameter spaces; according to the temperature control effect target, a temperature control effect fitness function is constructed; the temperature parameter set of the area to be adjusted is used as a constraint parameter, and based on the temperature control effect fitness function, an associated optimization analysis is performed in each of the N temperature control parameter spaces to determine the temperature control parameter set.

[0059] Furthermore, the temperature adjustment feedback control module 15 is also used for:

[0060] Based on the indoor space simulation model, a heat diffusion analysis is performed on the temperature adjustment control parameter set to obtain N indoor space heat diffusion coefficients; the temperature impact of the N indoor space blocks is analyzed through the N indoor space heat diffusion coefficients to determine N indoor space temperature gain and loss factors; based on the N indoor space temperature gain and loss factors, the impact correction is performed on the temperature adjustment control parameter set.

[0061] Furthermore, the temperature adjustment feedback control module 15 is also used for:

[0062] Based on the temperature adjustment control parameter set, the indoor space to be detected is adjusted, monitored and fed back to obtain the indoor space temperature adjustment effect parameter; the difference between the indoor space temperature adjustment effect parameter and the temperature adjustment effect benchmark is used as the fine-tuning temperature effect parameter; based on the fine-tuning temperature effect parameter, the temperature adjustment control parameter set is adaptively mutated to obtain multiple fine-tuning adjustment control parameter sets, and the multiple fine-tuning adjustment control parameter sets are compared and optimized through the temperature adjustment effect fitness function.

[0063] The foregoing Figure 1 The various variations and specific examples of the indoor temperature automatic regulation method based on air flow analysis in Example 1 are also applicable to the indoor temperature automatic regulation equipment based on air flow analysis in this embodiment. Through the above detailed description of the indoor temperature automatic regulation method based on air flow analysis, those skilled in the art can clearly know the implementation method of the indoor temperature automatic regulation equipment based on air flow analysis in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0064] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for automatically adjusting indoor temperature based on air flow analysis, characterized in that: The method comprises: Acquire an indoor space to be detected, and segment the indoor space to be detected at key points to obtain N indoor space blocks; Based on the N indoor space blocks, indoor air flow detection networks are respectively arranged, and the indoor air flow detection network includes an air flow detector and a temperature sensor; Acquire N sets of air flow detection data streams of spatial blocks through the indoor air flow detection network, perform air flow simulation on the indoor space to be detected based on the N sets of air flow detection data streams of spatial blocks, and acquire the indoor air flow temperature distribution trend; According to the indoor environment requirements and the comfort requirements, an indoor temperature threshold is set, and based on the indoor temperature threshold, the indoor air flow temperature distribution trend is marked as an area to be adjusted, and a temperature parameter set of the area to be adjusted is obtained; Based on the temperature adjustment central device, a correlation analysis is performed on the temperature parameter set of the area to be adjusted, a temperature adjustment control parameter set is determined, and adjustment feedback control is performed on the indoor space to be detected through the temperature adjustment control parameter set; The N indoor space blocks are obtained, including: Based on the layout parameter information of the indoor space to be detected, construct a three-dimensional model of the indoor space, mark the three-dimensional model of the indoor space according to the use function attributes, and obtain a set of indoor space function attributes; Classifying the three-dimensional model of the indoor space according to the structural distribution attributes to obtain a set of indoor space structural attributes; Based on the indoor space function attribute set and the indoor space structure attribute set, labeling the indoor space three-dimensional model to generate an indoor space area labeling set; Based on the indoor space region labeling set, the indoor space to be detected is segmented at key points to obtain the N indoor space blocks; The obtaining of the indoor air flow temperature distribution trend comprises: Acquiring air flow attribute information, wherein the air flow attribute information includes air flow velocity, air flow direction, and spatial temperature distribution; Classify and mark the N spatial block air flow detection data flow sets based on the air flow attribute information to obtain N spatial block air flow attribute data flow sets; Defining simulation boundary conditions, assigning parameters to the indoor space three-dimensional model through the simulation boundary conditions, and obtaining an indoor space simulation model; The twin simulation technology is used to map and simulate the air flow attribute data flow set of the N space blocks with the indoor space simulation model to obtain the indoor air flow temperature distribution trend.

2. The method for automatically adjusting indoor temperature based on air flow analysis according to claim 1, characterized in that: The step of obtaining a set of temperature parameters of the area to be adjusted includes: Performing temperature adjustment analysis on the indoor air flow temperature distribution trend based on the indoor temperature threshold to obtain N indoor temperature touch-line adjustment durations; When the N indoor temperature touch-line adjustment durations are within the preset tolerance adjustment durations, the indoor temperature adjustment program is started; Extracting the area to be adjusted from the indoor space to be detected by the indoor temperature adjustment program to determine a set of indoor space blocks to be adjusted; The temperature prediction mark is performed on the set of indoor space blocks to be adjusted based on the preset temperature adjustment time to obtain the set of temperature parameters of the area to be adjusted.

3. The method for automatic indoor temperature adjustment based on air flow analysis according to claim 1, characterized in that: The step of determining the temperature adjustment control parameter comprises: According to the temperature adjustment central device, obtaining N space block temperature adjustment units; Perform temperature adjustment data search based on the N spatial block temperature adjustment units to construct N temperature adjustment parameter spaces; According to the temperature regulation effect target, a temperature regulation effect fitness function is constructed; The temperature parameter set of the area to be adjusted is used as a constraint parameter, and based on the temperature adjustment effect fitness function, an associated optimization analysis is performed in the N temperature adjustment parameter spaces to determine the temperature adjustment control parameter set.

4. The method for automatically adjusting indoor temperature based on air flow analysis according to claim 1, characterized in that: The method comprises: Performing heat diffusion analysis on the temperature adjustment control parameter set based on the indoor space simulation model to obtain N indoor space heat diffusion coefficients; Performing temperature impact analysis on the N indoor space blocks through the N indoor space heat diffusion coefficients to determine N indoor space temperature gain and loss factors; The temperature adjustment control parameter set is modified based on the N indoor space temperature gain and loss factors.

5. The method for automatic indoor temperature adjustment based on air flow analysis according to claim 1, characterized in that: The step of performing feedback control on the indoor space to be detected by using the temperature adjustment control parameter set includes: Based on the temperature adjustment control parameter set, the indoor space to be detected is adjusted, monitored and fed back to obtain the indoor space temperature adjustment effect parameter; taking the difference between the indoor space temperature adjustment effect parameter and the temperature adjustment effect benchmark as a fine-tuning temperature effect parameter; The temperature adjustment control parameter set is adaptively varied based on the fine-tuning temperature effect parameter to obtain multiple fine-tuning control parameter sets, and the multiple fine-tuning control parameter sets are compared and optimized through the temperature adjustment effect fitness function.

6. Indoor temperature automatic adjustment equipment based on air flow analysis, characterized in that: The device for implementing the indoor temperature automatic adjustment method based on air flow analysis according to any one of claims 1 to 5 comprises: A key point segmentation module is used to obtain an indoor space to be detected, and perform key point segmentation on the indoor space to be detected to obtain N indoor space blocks; A detection network deployment module, used to deploy indoor air flow detection networks based on the N indoor space blocks respectively, wherein the indoor air flow detection network includes an air flow detector and a temperature sensor; An air flow simulation module is used to acquire N sets of air flow detection data streams of spatial blocks through the indoor air flow detection network, perform air flow simulation on the indoor space to be detected based on the N sets of air flow detection data streams of spatial blocks, and obtain the indoor air flow temperature distribution trend; An adjustment area marking module is used to set an indoor temperature threshold according to indoor environment requirements and comfort requirements, mark the area to be adjusted based on the indoor temperature threshold for the indoor air flow temperature distribution trend, and obtain a set of temperature parameters for the area to be adjusted; The temperature adjustment feedback control module is used to perform correlation analysis on the temperature parameter set of the area to be adjusted based on the temperature adjustment central device, determine the temperature adjustment control parameter set, and perform adjustment feedback control on the indoor space to be detected through the temperature adjustment control parameter set.

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