Automatic temperature control method and system for central air conditioner based on partition temperature evaluation

Abstract

The invention relates to the technical field of air conditioner control, and discloses a central air conditioner automatic temperature control method and system based on partition temperature assessment, and the method comprises the steps: obtaining a design drawing of a building to be subjected to temperature control and deployment position information of a plurality of temperature measurement units, so as to create a temperature control building model, and adding the temperature control building model into a thermodynamic simulation program; generating a building simulation model; acquiring temperature data of each point in real time and adding the temperature data to the building simulation model so as to fit in the building simulation model to obtain a plurality of isothermal regions; obtaining a function area setting instruction to create a plurality of function areas in the building simulation model, and obtaining thermal change factor data and temperature demand factor data of each function area to calculate a thermal change rate and a comfortable temperature of each function area; generating a temperature control instruction based on the thermal change rate and the comfortable temperature and sending the temperature control instruction to an air conditioner controller; the method has the effect of improving the intelligent level of air conditioner temperature control in a large building.

Description

Technical Field

[0001] The present application relates to the technical field of air-conditioning control, and in particular to a central air-conditioning automatic temperature control method and system based on zone temperature evaluation. Background Art

[0002] Central air conditioning is widely used in large buildings due to its centralized control, high energy efficiency, easy maintenance, and convenience in optimizing space utilization. However, different areas in large buildings have different population densities, and the temperature requirements of different functional areas are also different. At present, each area in a large building is usually set to a uniform temperature, and special temperature requirements usually require manual adjustment. Manual adjustment is mainly based on the personal needs of the adjuster, which is difficult to adapt to the needs of everyone, and the previous temperature setting is usually maintained after the adjuster leaves, which easily causes energy waste. Therefore, the above technology has the problem of poor intelligence of temperature control. Summary of the invention

[0003] In order to improve the intelligence level of air-conditioning temperature control in large buildings, the present application provides a central air-conditioning automatic temperature control method and system based on zone temperature evaluation.

[0004] The first invention objective of this application is achieved by adopting the following technical solution:

[0005] The automatic temperature control method of central air conditioning based on zone temperature evaluation includes:

[0006] Obtain design drawings of the building to be temperature-controlled and deployment location information of several temperature measurement units to create a temperature-controlled building model and add it to a thermodynamic simulation program to generate a building simulation model;

[0007] Acquire temperature data of each point in real time and add it to the building simulation model to fit several isothermal areas in the building simulation model;

[0008] Obtaining a functional area setting instruction to create a number of functional areas in a building simulation model, obtaining thermal change factor data and temperature demand factor data of each functional area to calculate a thermal change rate and a comfortable temperature of each functional area;

[0009] generating a temperature control instruction based on the heat change rate and the comfort temperature and sending the instruction to the air conditioning controller;

[0010] The design drawings record the insulation technical indicators of each structural component in the building to be temperature-controlled and the installation location information of each air outlet of the central air conditioner; the point temperature data refers to the temperature data measured by the temperature measuring unit; the thermal change factor data refers to the data of factors that can cause heat changes in the functional area; the temperature demand factor data refers to the data of factors that can cause changes in the temperature demand of the functional area.

[0011] By adopting the above technical solution, the design drawings of the building to be temperature controlled and the deployment position information of each temperature measuring unit are obtained, wherein the design drawings record the insulation technical indicators of each structural component and the deployment position of each air outlet of the central air conditioner, the building to be temperature controlled is three-dimensionally modeled to obtain a temperature-controlled building model, and the temperature-controlled building model is added to the thermodynamic simulation program to generate a building simulation model with thermodynamic simulation function; the point temperature data measured by each temperature measuring unit is obtained in real time and added to the building simulation model to analyze the temperature distribution of each area in the building to be temperature controlled, and then a number of isothermal partitions are obtained by fitting; the functional area setting instructions are obtained to create a number of functional areas in the building simulation model, and the thermal change factor data and temperature demand factor data of each functional area are obtained to evaluate the heat change and temperature demand of each functional area, and then the thermal change rate and comfortable temperature of each functional area are calculated, so as to facilitate the subsequent targeted temperature control according to the temperature demand of different functional areas; according to the thermal change rate and comfortable temperature of each functional area, the temperature control instructions are generated, so as to automatically control the central air conditioner according to the heat change and temperature demand of each functional area, thereby improving the intelligent level of air conditioning temperature control in large buildings.

[0012] In a preferred example of the present application, the design drawings of the building to be temperature-controlled and the deployment location information of several temperature measurement units are obtained to create a temperature-controlled building model and add it to a thermodynamic simulation program to generate a building simulation model, including:

[0013] Obtaining design drawings of the building to be temperature-controlled, creating a temperature-controlled building model in a building modeling program based on the design drawings, and importing the temperature-controlled building model into a thermodynamic simulation program;

[0014] Based on the deployment location information of each temperature measuring unit and the installation location information of each air outlet, each temperature measuring unit and air outlet are marked in the temperature-controlled building model, and the insulation technical indicators are marked on each structural component in the temperature-controlled building model to generate a building simulation model.

[0015] By adopting the above technical solution, the design drawings of the building to be temperature-controlled are obtained, and the temperature-controlled building to be three-dimensionally modeled in the building modeling program to obtain the temperature-controlled building model, and the temperature-controlled building model is imported into the thermodynamic simulation program so that the temperature-controlled building model has the function of thermodynamic simulation; based on the deployment position information of each temperature measuring unit and the installation position information of each air outlet, the position of each temperature measuring unit and the air outlet is marked in the temperature-controlled building model to facilitate the subsequent determination of the position corresponding to the measured temperature data, as well as the simulation of the influence range of the air outlet of the air conditioner, and the insulation technical indicators of each structural component in the temperature-controlled building model are marked, thereby generating a building simulation model with thermodynamic simulation function.

[0016] In a preferred example of the present application, the real-time acquisition of temperature data at each point and adding it to the building simulation model to fit a number of isothermal areas in the building simulation model include:

[0017] Creating a temperature assessment coordinate system and a number of spatial grids in the building simulation model, acquiring temperature data of each point in real time, and marking the temperature data of each point to a corresponding spatial grid according to the associated spatial coordinates;

[0018] The temperature data of several known points and their spatial coordinates are processed by interpolation algorithm to calculate the temperature evaluation value of each spatial grid;

[0019] Based on the temperature evaluation value of each space grid and a number of preset isothermal value intervals, each isothermal area is determined from the building simulation model;

[0020] The point temperature data is associated with the identification information of the corresponding temperature measuring unit; the isothermal area refers to an area where the temperature is between a specific numerical range; the temperature evaluation value of the spatial grid where the temperature measuring unit is located is the point temperature data corresponding to the temperature measuring unit.

[0021] By adopting the above technical solution, a temperature evaluation coordinate system and several spatial grids are created in the building simulation model, so as to facilitate the subsequent analysis of the temperature data of other spatial grids based on the known temperature data of some spatial grids, obtain the temperature data of each point in real time, and determine the temperature evaluation value of the corresponding spatial grid according to the spatial coordinates of the temperature measuring unit associated with it; the point temperature data and spatial coordinates of several known spatial grids are processed by the interpolation algorithm, and then the temperature evaluation values ​​of all spatial grids are calculated, so as to analyze the temperature conditions of various regions in the entire building simulation model; based on the temperature evaluation value of each spatial grid and several isothermal value intervals, each isothermal region is determined from the building simulation model, so as to facilitate the subsequent evaluation of the temperature control effect of each region.

[0022] In a preferred example of the present application, the interpolation algorithm is used to process the known temperature data of several points and their spatial coordinates to calculate the temperature evaluation value of each spatial grid, including:

[0023] S221: setting the spatial grid for determining the temperature evaluation value based on the point temperature data as the standard grid, and creating spatial grid groups from each spatial grid for which the temperature evaluation value has not been determined one by one based on the spatial coordinates corresponding to the standard grid and setting them as the grid groups to be evaluated;

[0024] S222: Based on the spatial coordinate group of the to-be-evaluated grid group and the spatial coordinates of each standard grid, a plurality of first evaluation grids and a plurality of second evaluation grids are selected from the standard grids;

[0025] S223: Processing the point temperature data and the spatial coordinates of the plurality of first evaluation grids by an interpolation algorithm to calculate the first evaluation value of the temperature of each spatial grid in the spatial grid group;

[0026] S224: Processing the point temperature data and the spatial coordinates of the plurality of second evaluation grids by an interpolation algorithm to calculate the second temperature evaluation values ​​of some of the spatial grids in the spatial grid group;

[0027] S225: Determine the temperature evaluation value of each space grid based on the first temperature evaluation value, the second temperature evaluation value and a preset comprehensive calculation formula of each space grid;

[0028] S226: creating a new spatial grid group from each spatial grid whose temperature evaluation value has not been determined and setting it as the grid group to be evaluated, and repeating steps S222 to S225 until the temperature evaluation values ​​of all spatial grids are determined;

[0029] The spatial grid group is composed of a number of spatial grids that are regularly arranged and can completely occupy a parallelepiped space; the spatial coordinate group refers to a data group used to record the envelope coordinate points of the space occupied by the spatial grid group; each of the first participating grids completely envelops the spatial coordinate group;

[0030] The comprehensive calculation formula is:

[0031]

[0032] Among them, T Z is the temperature evaluation value, is the average distance between the spatial coordinates of each first evaluation square and the spatial coordinates of the geometric center of the space occupied by the spatial square group, It is the average distance between the spatial coordinates of each second evaluation grid and the spatial coordinates of the geometric center of the space occupied by the spatial grid group. T1 is the first evaluation value of temperature, and T2 is the second evaluation value of temperature.

[0033] By adopting the above technical solution, the temperature evaluation value determined based on the point temperature data is set as the standard grid, so that the standard grid is used as the original data in the subsequent interpolation algorithm processing of other spatial grids. Based on the spatial coordinates corresponding to the standard grid, a grid group to be evaluated is created one by one from each spatial grid with an undetermined temperature evaluation value, so that the grid group to be evaluated can be used as the object of subsequent temperature evaluation value analysis; based on the spatial coordinates of the grid group to be evaluated and the spatial coordinates of each standard grid, the first evaluation grid that can completely envelop the spatial coordinate group is screened out from the standard grid, and the second evaluation grid that can envelop part of the spatial grid in the spatial coordinate group is selected; the point temperature data and the corresponding spatial coordinates of each first evaluation grid are processed by the interpolation algorithm, so as to calculate the temperature first evaluation value of each spatial grid in the spatial grid group. value; the point temperature data and the corresponding spatial coordinates of each second evaluation grid are processed by an interpolation algorithm, so as to calculate the second temperature evaluation value of each spatial grid in the spatial grid group, so as to verify and correct the first temperature evaluation value by the second temperature evaluation value; based on the first temperature evaluation value, the second temperature evaluation value and the preset comprehensive calculation formula of each spatial grid, the temperature evaluation value of each spatial grid is calculated, wherein the temperature evaluation value is determined after weighted calculation based on the first temperature evaluation value and the second temperature evaluation value, thereby improving the accuracy of the temperature evaluation value; after determining the temperature evaluation value of each spatial grid in a grid group to be evaluated, re-determine a new grid group to be evaluated and determine the corresponding temperature evaluation value according to the above steps, until the temperature evaluation values ​​of all spatial grids in the building simulation model are determined.

[0034] In a preferred example of the present application, the step of obtaining the thermal change factor data and the temperature demand factor data of each functional area to calculate the thermal change rate and the comfortable temperature of each functional area includes:

[0035] Obtain monitoring images of each functional area and input them into the corresponding thermal factor analysis image model to identify the status information of each heat source and the thermal tendency information of each person;

[0036] Generate thermal change factor data based on the status information of each heat source, and generate temperature demand factor data based on the evaluation of each thermal tendency information;

[0037] Calculate the thermal change rate of the functional area based on the thermal change factor data, and calculate the comfortable temperature of the functional area based on the temperature demand factor data;

[0038] The functional area refers to the basic spatial unit of temperature control; the thermal tendency information refers to the performance information of the current temperature being too high or too low based on the behavior and posture of the personnel; the state information of the heat source refers to the heat generation rate information of the heat source in the functional area.

[0039] By adopting the above technical solution, the monitoring images of each functional area are obtained and input into the corresponding thermal factor analysis image model to identify the status information of each heat source in the functional area and the behavior posture of each person, and then determine the thermal tendency information of each person; generate thermal change factor data based on the status information of each heat source, and generate temperature demand factor data based on each thermal tendency information evaluation, so as to determine the heat generation of the heat source in each functional area and the demand of each person for the current temperature; calculate the thermal change rate of the functional area according to the thermal change factor data, and calculate the comfortable temperature of the functional area according to the temperature demand factor data, so as to facilitate the subsequent setting of the temperature value that should be set for the functional area and the heat generation / dissipation per unit time.

[0040] The second invention objective of this application is achieved by the following technical solution:

[0041] The automatic temperature control system for central air conditioner based on zone temperature evaluation is applied to any of the above-mentioned automatic temperature control methods for central air conditioner based on zone temperature evaluation, comprising:

[0042] A building simulation model generation module is used to obtain the design drawings of the building to be temperature-controlled and the deployment location information of several temperature measurement units to create a temperature-controlled building model and add it to the thermodynamic simulation program to generate a building simulation model;

[0043] An isothermal region fitting module is used to obtain temperature data of each point in real time and add it to the building simulation model, so as to fit several isothermal regions in the building simulation model;

[0044] The functional area temperature analysis module is used to obtain the functional area setting instructions to create several functional areas in the building simulation model, obtain the thermal change factor data and temperature demand factor data of each functional area, and calculate the thermal change rate and comfort temperature of each functional area;

[0045] A temperature control instruction generating module, used for generating a temperature control instruction based on the heat change rate and the comfort temperature and sending the instruction to the air conditioning controller;

[0046] The design drawings record the insulation technical indicators of each structural component in the building to be temperature-controlled and the installation location information of each air outlet of the central air conditioner; the point temperature data refers to the temperature data measured by the temperature measuring unit; the thermal change factor data refers to the data of factors that can cause heat changes in the functional area; the temperature demand factor data refers to the data of factors that can cause changes in the temperature demand of the functional area.

[0047] In a preferred example of the present application: the building simulation model generation module includes:

[0048] A temperature-controlled building model creation submodule is used to obtain design drawings of the building to be temperature-controlled, create a temperature-controlled building model in a building modeling program based on the design drawings, and import the temperature-controlled building model into a thermodynamic simulation program;

[0049] The building simulation model improvement submodule is used to mark each temperature measuring unit and air outlet in the temperature control building model based on the deployment location information of each temperature measuring unit and the installation location information of each air outlet, and mark the insulation technical indicators of each structural component in the temperature control building model to generate a building simulation model.

[0050] In a preferred example of the present application: the isothermal region fitting module includes:

[0051] The space grid creation submodule is used to create several space grids in the building simulation model, obtain the temperature data of each point in real time and mark it to the corresponding space grid according to the associated temperature measurement unit;

[0052] The temperature evaluation value calculation submodule is used to process the known temperature data of several points through an interpolation algorithm to calculate the temperature evaluation value of each spatial grid;

[0053] An isothermal region determination submodule is used to determine each isothermal region from the building simulation model based on the temperature evaluation value of each space grid and a plurality of preset isothermal value intervals;

[0054] The point temperature data is associated with the identification information of the corresponding temperature measuring unit; the isothermal area refers to an area where the temperature is between a specific numerical range; the temperature evaluation value of the spatial grid where the temperature measuring unit is located is the point temperature data corresponding to the temperature measuring unit.

[0055] In a preferred example of the present application: the functional area temperature analysis module includes:

[0056] The image analysis submodule is used to obtain monitoring images of each functional area and input them into the corresponding thermal factor analysis image model to identify the status information of each heat source and the thermal tendency information of each person;

[0057] The thermal factor analysis submodule is used to generate thermal change factor data based on the status information of each heat source, and to generate temperature demand factor data based on the evaluation of each thermal tendency information;

[0058] A comfortable temperature calculation submodule is used to calculate the thermal change rate of the functional area based on the thermal change factor data, and to calculate the comfortable temperature of the functional area based on the temperature demand factor data;

[0059] The functional area refers to the basic spatial unit of temperature control; the thermal tendency information refers to the performance information of the current temperature being too high or too low based on the behavior and posture of the personnel; the state information of the heat source refers to the heat generation rate information of the heat source in the functional area.

[0060] The third invention objective of this application is achieved by the following technical solution:

[0061] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the automatic temperature control method of a central air conditioner based on zone temperature evaluation are implemented.

[0062] The fourth invention objective of this application is achieved by the following technical solution:

[0063] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the central air-conditioning automatic temperature control method based on zone temperature evaluation.

[0064] In summary, the present application includes at least one of the following beneficial technical effects:

[0065] 1. Obtain the design drawings of the building to be temperature-controlled and the deployment location information of each temperature measuring unit, where the design drawings record the insulation technical indicators of each structural component and the deployment location of each air outlet of the central air conditioner, perform three-dimensional modeling on the building to be temperature-controlled, obtain a temperature-controlled building model, and add the temperature-controlled building model to the thermodynamic simulation program to generate a building simulation model with thermodynamic simulation function; obtain the point temperature data measured by each temperature measuring unit in real time and add it to the building simulation model to analyze the temperature distribution of each area in the building to be temperature-controlled, and then fit to obtain several isothermal partitions; obtain functional area setting instructions to create several functional areas in the building simulation model, obtain the thermal change factor data and temperature demand factor data of each functional area to evaluate the heat change and temperature demand of each functional area, and then calculate the thermal change rate and comfortable temperature of each functional area, so as to facilitate the subsequent targeted temperature control according to the temperature demand of different functional areas; generate temperature control instructions according to the thermal change rate and comfortable temperature of each functional area, so as to automatically control the central air conditioner according to the heat change and temperature demand of each functional area, thereby improving the intelligent level of air conditioning temperature control in large buildings.

[0066] 2. Create several spatial grids in the building simulation model to facilitate the subsequent analysis of the temperature data of other spatial grids based on the known temperature data of some spatial grids, obtain the temperature data of each point in real time and determine the temperature evaluation value of the corresponding spatial grid according to the temperature measurement unit associated with it; process the point temperature data of several known spatial grids through the interpolation algorithm, and then calculate the temperature evaluation value of each spatial grid, so as to analyze the temperature conditions of each area in the entire building simulation model; based on the temperature evaluation value of each spatial grid and several isothermal value intervals, determine each isothermal area from the building simulation model, so as to facilitate the subsequent evaluation of the temperature control effect of each area.

[0067] 3. Obtain monitoring images of each functional area and input them into the corresponding thermal factor analysis image model to identify the status information of each heat source in the functional area and the behavioral posture of each person, and then determine the thermal tendency information of each person; generate thermal change factor data based on the status information of each heat source, and generate temperature demand factor data based on each thermal tendency information assessment, so as to determine the heat generation of the heat source in each functional area and the current temperature demand of each person; calculate the thermal change rate of the functional area according to the thermal change factor data, and calculate the comfortable temperature of the functional area according to the temperature demand factor data, so as to facilitate the subsequent setting of the temperature value that should be set for the functional area and the heat generation / dissipation per unit time. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 It is a flow chart of the central air-conditioning automatic temperature control method based on zone temperature evaluation in Example 1 of the present application.

[0069] Figure 2 It is a principle block diagram of a central air-conditioning automatic temperature control system based on zone temperature evaluation in Example 2 of the present application.

[0070] Figure 3 It is a schematic diagram of the equipment in Example 3 of the present application. DETAILED DESCRIPTION

[0071] The following is combined with Figures 1 to 3 This application is described in further detail.

[0072] Embodiment 1

[0073] Reference Figure 1 The present application discloses a central air-conditioning automatic temperature control method based on zone temperature evaluation, which specifically includes the following steps:

[0074] S10: Obtain design drawings of the building to be temperature-controlled and deployment location information of several temperature measurement units to create a temperature-controlled building model and add it to a thermodynamic simulation program to generate a building simulation model.

[0075] In this embodiment, the design drawings record the insulation technical indicators of each structural component in the building to be temperature-controlled and the installation location information of each air outlet of the central air conditioner; the point temperature data refers to the temperature data measured by the temperature measuring unit; the thermal change factor data refers to the data of the factors that can cause heat changes in the functional area; the temperature demand factor data refers to the data of the factors that can cause changes in the temperature demand of the functional area.

[0076] Specifically, the design drawings of the building to be temperature-controlled and the deployment location information of each temperature measuring unit are obtained, wherein the design drawings record the insulation technical indicators of each structural component and the deployment location of each air outlet of the central air-conditioning. The building to be temperature-controlled is three-dimensionally modeled to obtain a temperature-controlled building model. The temperature-controlled building model is added to a thermodynamic simulation program to generate a building simulation model with thermodynamic simulation function.

[0077] Wherein, in step S10, it includes:

[0078] S11: obtaining design drawings of the building to be temperature-controlled, creating a temperature-controlled building model in a building modeling program based on the design drawings, and importing the temperature-controlled building model into a thermodynamic simulation program.

[0079] Specifically, the design drawings of the building to be temperature-controlled are obtained, and three-dimensional modeling of the building to be temperature-controlled is performed in a building modeling program to obtain a temperature-controlled building model, and the temperature-controlled building model is imported into a thermodynamic simulation program so that the temperature-controlled building model has the function of thermodynamic simulation.

[0080] S12: Based on the deployment position information of each temperature measuring unit and the installation position information of each air outlet, mark each temperature measuring unit and air outlet in the temperature control building model, and mark the insulation technical index of each structural component in the temperature control building model to generate a building simulation model.

[0081] Specifically, based on the deployment location information of each temperature measuring unit and the installation location information of each air outlet, the location of each temperature measuring unit and the air outlet is marked in the temperature-controlled building model to facilitate the subsequent determination of the position corresponding to the measured temperature data and the simulation of the influence range of the air outlet of the air conditioner. The insulation technical indicators of each structural component in the temperature-controlled building model are marked, thereby generating a building simulation model with thermodynamic simulation function.

[0082] S20: Acquire temperature data of each point in real time and add the data to the building simulation model, so as to obtain a plurality of isothermal areas by fitting in the building simulation model.

[0083] Specifically, the point temperature data measured by each temperature measuring unit is acquired in real time and added to the building simulation model in order to analyze the temperature distribution of each area in the building to be temperature-controlled, and then fit several isothermal partitions.

[0084] Wherein, in step S20, it includes:

[0085] S21: creating a temperature assessment coordinate system and a plurality of spatial grids in the building simulation model, acquiring temperature data of each point in real time, and marking the temperature data of each point to a corresponding spatial grid according to the associated spatial coordinates.

[0086] In this embodiment, the point temperature data is associated with the identification information of the corresponding temperature measuring unit; the isothermal area refers to an area where the temperature is between a specific numerical range; the temperature evaluation value of the spatial grid where the temperature measuring unit is located is the point temperature data corresponding to the temperature measuring unit.

[0087] Specifically, a temperature assessment coordinate system and several spatial grids are created in the building simulation model to facilitate the subsequent analysis of the temperature data of other spatial grids based on the known temperature data of some spatial grids, to obtain the temperature data of each point in real time and to determine the temperature assessment value of the corresponding spatial grid according to the spatial coordinates of the associated temperature measurement unit.

[0088] S22: Processing the temperature data of several known points and their spatial coordinates through an interpolation algorithm to calculate the temperature evaluation value of each spatial grid.

[0089] Specifically, the point temperature data and spatial coordinates of several known spatial grids are processed through an interpolation algorithm, and then the temperature evaluation values ​​of all spatial grids are calculated to analyze the temperature conditions of each area in the entire building simulation model.

[0090] S23: Based on the temperature evaluation value of each space grid and a plurality of preset isothermal value intervals, each isothermal area is determined from the building simulation model.

[0091] Specifically, based on the temperature evaluation value of each space grid and a number of isothermal value intervals, each isothermal area is determined from the building simulation model to facilitate subsequent evaluation of the temperature control effect on each area.

[0092] Wherein, in step S22, it also includes:

[0093] S221: setting the spatial grid for determining the temperature evaluation value based on the point temperature data as the standard grid, and creating spatial grid groups from each spatial grid for which the temperature evaluation value has not been determined one by one based on the spatial coordinates corresponding to the standard grid and setting them as the grid groups to be evaluated.

[0094] In this embodiment, the temperature measuring units should be installed in rows and columns with equal spacing as much as possible to facilitate the subsequent improvement of the accuracy of evaluating the temperature value of each spatial grid using the interpolation algorithm; the spatial grid group is composed of a number of spatial grids that are arranged regularly and can completely occupy a parallelepiped space. A spatial grid group can specifically be composed of one row of spatial grids, or a single-layer spatial grid of multiple rows and columns, or multiple rows, columns, and layers of spatial grids.

[0095] Specifically, the temperature evaluation value determined based on the point temperature data is set as a standard grid, so that the standard grid can be used as the original data for subsequent interpolation algorithm processing of other spatial grids. Based on the spatial coordinates corresponding to the standard grid, a group of grids to be evaluated is created one by one from each spatial grid with an undetermined temperature evaluation value, so that the group of grids to be evaluated can be used as the object of subsequent temperature evaluation value analysis.

[0096] S222: Based on the spatial coordinate group of the to-be-evaluated grid group and the spatial coordinates of each standard grid, a plurality of first evaluation grids and a plurality of second evaluation grids are selected from the standard grids.

[0097] In this embodiment, the spatial coordinate group refers to a data group used to record the envelope coordinate points of the space occupied by the spatial grid group; each first evaluation grid completely envelopes the spatial coordinate group; preferably, the number of first evaluation grids can be two, four, or eight, which can be determined based on the number of rows, columns, and layers of the spatial grid group and the type of interpolation algorithm used; the number of second evaluation grids can be determined based on the accuracy requirements of the temperature evaluation values ​​of the spatial grids and the performance of the computer device used.

[0098] Specifically, based on the spatial coordinates of the grid group to be evaluated and the spatial coordinates of each standard grid, a first evaluation grid that can completely envelop the spatial coordinate group is selected from the standard grid, and a second evaluation grid that can envelop part of the spatial coordinate group is selected.

[0099] S223: Processing the point temperature data and the spatial coordinates of the plurality of first evaluation grids by an interpolation algorithm to calculate the first temperature evaluation value of each spatial grid in the spatial grid group.

[0100] In this embodiment, preferably, the interpolation algorithm is three-dimensional spline interpolation, two-dimensional spline interpolation or one-dimensional spline interpolation, which can be specifically determined according to the number of rows, columns and layers of the spatial grid group. When using the interpolation algorithm to evaluate the temperature of the waste spatial grid, the interpolation method is preferentially used, and the extrapolation method is only used when the spatial grid group cannot be envelop by the first participating grid.

[0101] Specifically, the point temperature data and the corresponding spatial coordinates of each first evaluation grid are processed by an interpolation algorithm, so as to calculate the first evaluation value of the temperature of each spatial grid in the spatial grid group.

[0102] S224: Processing the point temperature data and the spatial coordinates of the plurality of second evaluation grids by an interpolation algorithm to calculate the second evaluation values ​​of the temperatures of some of the spatial grids in the spatial grid group.

[0103] In this embodiment, the number of second evaluation grids and whether to select second evaluation grids can be determined according to actual accuracy requirements. If necessary, the second evaluation grid can be unselected and the first temperature evaluation value can be directly used as the temperature evaluation value of the corresponding space grid.

[0104] Specifically, the point temperature data and the corresponding spatial coordinates of each second evaluation grid are processed by an interpolation algorithm, so as to calculate the second temperature evaluation value of each spatial grid in the spatial grid group, so as to verify and correct the first temperature evaluation value by the second temperature evaluation value;

[0105] S225: Determine the temperature evaluation value of each space grid based on the first temperature evaluation value, the second temperature evaluation value and a preset comprehensive calculation formula of each space grid.

[0106] In this embodiment, the comprehensive calculation formula is:

[0107]

[0108] Among them, T Z is the temperature evaluation value, is the average distance between the spatial coordinates of each first evaluation square and the spatial coordinates of the geometric center of the space occupied by the spatial square group, It is the average distance between the spatial coordinates of each second evaluation grid and the spatial coordinates of the geometric center of the space occupied by the spatial grid group. T1 is the first evaluation value of temperature, and T2 is the second evaluation value of temperature.

[0109] Specifically, based on the first temperature evaluation value, the second temperature evaluation value and the preset comprehensive calculation formula of each spatial grid, the temperature evaluation value of each spatial grid is calculated, wherein the temperature evaluation value is determined after weighted calculation based on the first temperature evaluation value and the second temperature evaluation value, thereby improving the accuracy of the temperature evaluation value.

[0110] S226: Create a new spatial grid group from the spatial grids whose temperature evaluation values ​​have not been determined and set it as the grid group to be evaluated, and repeat steps S222 to S225 until the temperature evaluation values ​​of all spatial grids are determined.

[0111] Specifically, after the temperature evaluation values ​​of each space grid in a grid group to be evaluated are determined, a new grid group to be evaluated is re-determined and the corresponding temperature evaluation values ​​are determined according to the above steps until the temperature evaluation values ​​of all space grids in the building simulation model are determined.

[0112] S30: Acquire a functional area setting instruction to create a plurality of functional areas in the building simulation model, acquire thermal change factor data and temperature demand factor data of each functional area, and calculate the thermal change rate and comfortable temperature of each functional area.

[0113] Specifically, functional area setting instructions are obtained to create several functional areas in the building simulation model, and the thermal change factor data and temperature demand factor data of each functional area are obtained to evaluate the heat change and temperature demand of each functional area, and then the thermal change rate and comfortable temperature of each functional area are calculated, so as to facilitate subsequent targeted temperature control according to the temperature requirements of different functional areas.

[0114] Wherein, in step S30, it includes:

[0115] S31: Acquire monitoring images of each functional area and input them into the corresponding thermal factor analysis image model to identify the status information of each heat source and the thermal tendency information of each person.

[0116] In this embodiment, the functional area refers to the basic spatial unit of temperature control; the thermal tendency information refers to the performance information of the current temperature being too high or too low based on the behavior and posture of the personnel, and the thermal tendency information includes overheating and overcooling. For example, when the personnel in the functional area unbuttons, pulls down zippers, takes off clothes, takes off hats, fans, etc., the thermal tendency information of the personnel is considered to be overheating; when the personnel in the functional area button, zips up, puts on clothes, wears hats, folds arms, shivers, etc., the thermal tendency information of the personnel is considered to be overcooling. The number of overheated and overcooled personnel in the functional area is counted, and the thermal tendency information of the larger number of personnel is used as the thermal tendency information of the functional area; the state information of the heat source refers to the heat generation rate information of the heat source in the functional area, specifically including the working state information of the items that may generate heat and absorb heat in the functional area, wherein the working state information refers to the evaluation value of the heat generation per unit time of the corresponding item.

[0117] Specifically, monitoring images of each functional area are acquired and input into the corresponding thermal factor analysis image model to identify the status information of each heat source in the functional area and the behavior posture of each person, and then determine the thermal tendency information of each person.

[0118] S32: Generate thermal change factor data based on the status information of each heat source, and generate temperature demand factor data based on each thermal tendency information evaluation.

[0119] In this embodiment, the thermal change factor data refers to the data of heat production per unit time in the functional area; the temperature demand factor data refers to the temperature adjustment value determined based on the thermal tendency information of the functional area; the heat production per unit time and the temperature adjustment value can both be positive or negative values. When the thermal tendency information of the functional area is overheating, the temperature adjustment value is -1°C, and when the thermal tendency information of the functional area is overcooling, the temperature adjustment value is +1°C.

[0120] Specifically, thermal change factor data is generated based on the status information of each heat source, and temperature demand factor data is generated based on each thermal tendency information assessment, so as to determine the heat generation of the heat source in each functional area and the demand of each person for the current temperature.

[0121] S33: Calculate the thermal change rate of the functional area based on the thermal change factor data, and calculate the comfortable temperature of the functional area based on the temperature demand factor data.

[0122] Specifically, the thermal change rate of the functional area is calculated according to the thermal change factor data, and the comfortable temperature of the functional area is calculated according to the temperature demand factor data, so as to facilitate the subsequent setting of the temperature value and heat generation / dissipation per unit time that should be set for the functional area.

[0123] S40: Generate a temperature control instruction based on the heat change rate and the comfort temperature and send it to the air conditioning controller.

[0124] Specifically, temperature control instructions are generated according to the heat change rate and comfortable temperature of each functional area, so as to automatically control the central air-conditioning according to the heat change and temperature demand of each functional area, thereby improving the intelligence level of air-conditioning temperature control in large buildings.

[0125] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0126] Embodiment 2

[0127] The automatic temperature control system of a central air conditioner based on zone temperature evaluation corresponds to the automatic temperature control method of a central air conditioner based on zone temperature evaluation in the above-mentioned embodiment.

[0128] like Figure 2 As shown in the figure, the automatic temperature control system of central air conditioning based on zone temperature evaluation includes a building simulation model generation module, an isothermal area fitting module, a functional area temperature analysis module and a temperature control instruction generation module. The detailed description of each functional module is as follows:

[0129] A building simulation model generation module is used to obtain the design drawings of the building to be temperature-controlled and the deployment location information of several temperature measurement units to create a temperature-controlled building model and add it to the thermodynamic simulation program to generate a building simulation model;

[0130] An isothermal region fitting module is used to obtain temperature data of each point in real time and add it to the building simulation model, so as to fit several isothermal regions in the building simulation model;

[0131] The functional area temperature analysis module is used to obtain the functional area setting instructions to create several functional areas in the building simulation model, obtain the thermal change factor data and temperature demand factor data of each functional area, and calculate the thermal change rate and comfort temperature of each functional area;

[0132] The temperature control instruction generating module is used to generate a temperature control instruction based on the heat change rate and the comfort temperature and send the instruction to the air conditioning controller.

[0133] Among them, the building simulation model generation module also includes:

[0134] A temperature-controlled building model creation submodule is used to obtain design drawings of the building to be temperature-controlled, create a temperature-controlled building model in a building modeling program based on the design drawings, and import the temperature-controlled building model into a thermodynamic simulation program;

[0135] The building simulation model improvement submodule is used to mark each temperature measuring unit and air outlet in the temperature control building model based on the deployment location information of each temperature measuring unit and the installation location information of each air outlet, and mark the insulation technical indicators of each structural component in the temperature control building model to generate a building simulation model.

[0136] Among them, the isothermal region fitting module also includes:

[0137] The space grid creation submodule is used to create several space grids in the building simulation model, obtain the temperature data of each point in real time and mark it to the corresponding space grid according to the associated temperature measurement unit;

[0138] The temperature evaluation value calculation submodule is used to process the known temperature data of several points through an interpolation algorithm to calculate the temperature evaluation value of each spatial grid;

[0139] The isothermal region determination submodule is used to determine each isothermal region from the building simulation model based on the temperature evaluation value of each space grid and a plurality of preset isothermal value intervals.

[0140] Among them, the temperature evaluation value calculation submodule also includes:

[0141] The submodule for setting the grid group to be evaluated is used to set the spatial grid with the temperature evaluation value determined based on the point temperature data as the standard grid, and based on the spatial coordinates corresponding to the standard grid, create a spatial grid group from each spatial grid with an undetermined temperature evaluation value one by one and set it as the grid group to be evaluated;

[0142] The evaluation grid selection submodule is used to select a plurality of first evaluation grids and a plurality of second evaluation grids from the standard grids based on the spatial coordinate group of the to-be-evaluated grid group and the spatial coordinates of each standard grid;

[0143] The temperature first evaluation value calculation submodule is used to process the point temperature data and the spatial coordinates of a plurality of first evaluation grids by an interpolation algorithm to calculate the temperature first evaluation value of each spatial grid in the spatial grid group;

[0144] The temperature second evaluation value calculation submodule is used to process the point temperature data and the spatial coordinates of a plurality of second evaluation grids by an interpolation algorithm to calculate the temperature second evaluation values ​​of some spatial grids in the spatial grid group;

[0145] A temperature comprehensive calculation submodule, used to determine the temperature evaluation value of each space grid based on the first temperature evaluation value, the second temperature evaluation value and a preset comprehensive calculation formula of each space grid;

[0146] The to-be-evaluated grid group resetting submodule is used to create a new spatial grid group from the spatial grids whose temperature evaluation values ​​have not been determined and set it as the to-be-evaluated grid group, and repeat steps S222 to S225 until the temperature evaluation values ​​of all spatial grids are determined.

[0147] Among them, the functional area temperature analysis module also includes:

[0148] The image analysis submodule is used to obtain monitoring images of each functional area and input them into the corresponding thermal factor analysis image model to identify the status information of each heat source and the thermal tendency information of each person;

[0149] The thermal factor analysis submodule is used to generate thermal change factor data based on the status information of each heat source, and to generate temperature demand factor data based on the evaluation of each thermal tendency information;

[0150] The comfortable temperature calculation submodule is used to calculate the thermal change rate of the functional area based on the thermal change factor data, and calculate the comfortable temperature of the functional area based on the temperature demand factor data.

[0151] For the specific limitations of the central air-conditioning automatic temperature control system based on zone temperature evaluation, please refer to the limitations of the central air-conditioning automatic temperature control method based on zone temperature evaluation in the above text, which will not be repeated here; the various modules in the above-mentioned central air-conditioning automatic temperature control system based on zone temperature evaluation can be fully or partially implemented by software, hardware and their combination; the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above modules.

[0152] Embodiment 3

[0153] A computer device, which may be a server, may have an internal structure as shown in Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a central air-conditioning automatic temperature control method based on zone temperature evaluation is implemented.

[0154] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0155] S10: Obtain design drawings of the building to be temperature-controlled and deployment location information of several temperature measurement units to create a temperature-controlled building model and add it to a thermodynamic simulation program to generate a building simulation model;

[0156] S20: acquiring temperature data of each point in real time and adding the data to the building simulation model, so as to obtain a plurality of isothermal areas by fitting in the building simulation model;

[0157] S30: Obtaining a functional area setting instruction to create a number of functional areas in the building simulation model, obtaining thermal change factor data and temperature demand factor data of each functional area, and calculating the thermal change rate and comfort temperature of each functional area;

[0158] S40: Generate a temperature control instruction based on the heat change rate and the comfort temperature and send it to the air conditioning controller.

[0159] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0160] S10: Obtain design drawings of the building to be temperature-controlled and deployment location information of several temperature measurement units to create a temperature-controlled building model and add it to a thermodynamic simulation program to generate a building simulation model;

[0161] S20: acquiring temperature data of each point in real time and adding the data to the building simulation model, so as to obtain a plurality of isothermal areas by fitting in the building simulation model;

[0162] S30: Obtaining a functional area setting instruction to create a number of functional areas in the building simulation model, obtaining thermal change factor data and temperature demand factor data of each functional area, and calculating the thermal change rate and comfort temperature of each functional area;

[0163] S40: Generate a temperature control instruction based on the heat change rate and the comfort temperature and send it to the air conditioning controller.

[0164] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink), DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0165] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0166] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A central air conditioning automatic temperature control method based on zone temperature evaluation, characterized in that: include: Obtain design drawings of the building to be temperature-controlled and deployment location information of several temperature measurement units to create a temperature-controlled building model and add it to a thermodynamic simulation program to generate a building simulation model; Acquire temperature data of each point in real time and add it to the building simulation model to fit several isothermal areas in the building simulation model; Obtaining a functional area setting instruction to create a number of functional areas in a building simulation model, obtaining thermal change factor data and temperature demand factor data of each functional area to calculate a thermal change rate and a comfortable temperature of each functional area; generating a temperature control instruction based on the heat change rate and the comfort temperature and sending the instruction to the air conditioning controller; The design drawings record the insulation technical indicators of each structural component in the building to be temperature-controlled and the installation location information of each air outlet of the central air conditioner; the point temperature data refers to the temperature data measured by the temperature measuring unit; the thermal change factor data refers to the data of the factors that can cause heat changes in the functional area; The temperature demand factor data refers to the data of factors that can cause the temperature demand of the functional area to change.

2. The central air-conditioning automatic temperature control method based on zone temperature evaluation according to claim 1 is characterized in that: The design drawings of the building to be temperature-controlled and the deployment location information of several temperature measurement units are obtained to create a temperature-controlled building model and add it to a thermodynamic simulation program to generate a building simulation model, including: Obtaining design drawings of the building to be temperature-controlled, creating a temperature-controlled building model in a building modeling program based on the design drawings, and importing the temperature-controlled building model into a thermodynamic simulation program; Based on the deployment location information of each temperature measuring unit and the installation location information of each air outlet, each temperature measuring unit and air outlet are marked in the temperature-controlled building model, and the insulation technical indicators are marked on each structural component in the temperature-controlled building model to generate a building simulation model.

3. The central air-conditioning automatic temperature control method based on zone temperature evaluation according to claim 1 is characterized in that: The real-time acquisition of temperature data at each point and adding it to the building simulation model, so as to fit a number of isothermal areas in the building simulation model, includes: Creating a temperature assessment coordinate system and a number of spatial grids in the building simulation model, acquiring temperature data of each point in real time, and marking the temperature data of each point to a corresponding spatial grid according to the associated spatial coordinates; The temperature data of several known points and their spatial coordinates are processed by interpolation algorithm to calculate the temperature evaluation value of each spatial grid; Based on the temperature evaluation value of each space grid and a number of preset isothermal value intervals, each isothermal area is determined from the building simulation model; The point temperature data is associated with the identification information of the corresponding temperature measuring unit; the isothermal area refers to an area where the temperature is between a specific numerical range; the temperature evaluation value of the spatial grid where the temperature measuring unit is located is the point temperature data corresponding to the temperature measuring unit.

4. The central air-conditioning automatic temperature control method based on zone temperature evaluation according to claim 1 is characterized in that: The interpolation algorithm is used to process the known temperature data of several points and their spatial coordinates to calculate the temperature evaluation value of each spatial grid, including: S221: setting the spatial grid for determining the temperature evaluation value based on the point temperature data as the standard grid, and creating spatial grid groups from each spatial grid for which the temperature evaluation value has not been determined one by one based on the spatial coordinates corresponding to the standard grid and setting them as the grid groups to be evaluated; S222: Based on the spatial coordinate group of the to-be-evaluated grid group and the spatial coordinates of each standard grid, a plurality of first evaluation grids and a plurality of second evaluation grids are selected from the standard grids; S223: Processing the point temperature data and the spatial coordinates of the plurality of first evaluation grids by an interpolation algorithm to calculate the first evaluation value of the temperature of each spatial grid in the spatial grid group; S224: Processing the point temperature data and the spatial coordinates of the plurality of second evaluation grids by an interpolation algorithm to calculate the second temperature evaluation values ​​of some of the spatial grids in the spatial grid group; S225: Determine the temperature evaluation value of each space grid based on the first temperature evaluation value, the second temperature evaluation value and a preset comprehensive calculation formula of each space grid; S226: creating a new spatial grid group from each spatial grid whose temperature evaluation value has not been determined and setting it as the grid group to be evaluated, and repeating steps S222 to S225 until the temperature evaluation values ​​of all spatial grids are determined; The spatial grid group is composed of a number of spatial grids that are regularly arranged and can completely occupy a parallelepiped space; the spatial coordinate group refers to a data group used to record the envelope coordinate points of the space occupied by the spatial grid group; each of the first participating grids completely envelops the spatial coordinate group; The comprehensive calculation formula is: Among them, T Z is the temperature evaluation value, is the average distance between the spatial coordinates of each first evaluation square and the spatial coordinates of the geometric center of the space occupied by the spatial square group, It is the average distance between the spatial coordinates of each second evaluation grid and the spatial coordinates of the geometric center of the space occupied by the spatial grid group. T1 is the first evaluation value of temperature, and T2 is the second evaluation value of temperature.

5. The central air-conditioning automatic temperature control method based on zone temperature evaluation according to claim 1 is characterized in that: The obtaining of the thermal change factor data and the temperature demand factor data of each functional area to calculate the thermal change rate and the comfortable temperature of each functional area includes: Obtain monitoring images of each functional area and input them into the corresponding thermal factor analysis image model to identify the status information of each heat source and the thermal tendency information of each person; Generate thermal change factor data based on the status information of each heat source, and generate temperature demand factor data based on the evaluation of each thermal tendency information; Calculate the thermal change rate of the functional area based on the thermal change factor data, and calculate the comfortable temperature of the functional area based on the temperature demand factor data; The functional area refers to the basic spatial unit of temperature control; the thermal tendency information refers to the performance information of the current temperature being too high or too low based on the behavior and posture of the personnel; the state information of the heat source refers to the heat generation rate information of the heat source in the functional area.

6. The central air-conditioning automatic temperature control system based on zone temperature evaluation is characterized by: The central air-conditioning automatic temperature control method based on zone temperature evaluation as described in any one of claims 1 to 5 comprises: A building simulation model generation module is used to obtain the design drawings of the building to be temperature-controlled and the deployment location information of several temperature measurement units to create a temperature-controlled building model and add it to the thermodynamic simulation program to generate a building simulation model; An isothermal region fitting module is used to obtain temperature data of each point in real time and add it to the building simulation model, so as to fit several isothermal regions in the building simulation model; The functional area temperature analysis module is used to obtain the functional area setting instructions to create several functional areas in the building simulation model, obtain the thermal change factor data and temperature demand factor data of each functional area, and calculate the thermal change rate and comfort temperature of each functional area; A temperature control instruction generating module, used for generating a temperature control instruction based on the heat change rate and the comfort temperature and sending the instruction to the air conditioning controller; The design drawings record the insulation technical indicators of each structural component in the building to be temperature-controlled and the installation location information of each air outlet of the central air conditioner; the point temperature data refers to the temperature data measured by the temperature measuring unit; the thermal change factor data refers to the data of factors that can cause heat changes in the functional area; the temperature demand factor data refers to the data of factors that can cause changes in the temperature demand of the functional area.

7. The central air-conditioning automatic temperature control system based on zone temperature evaluation according to claim 6 is characterized in that: The building simulation model generation module comprises: A temperature-controlled building model creation submodule is used to obtain design drawings of the building to be temperature-controlled, create a temperature-controlled building model in a building modeling program based on the design drawings, and import the temperature-controlled building model into a thermodynamic simulation program; The building simulation model improvement submodule is used to mark each temperature measuring unit and air outlet in the temperature control building model based on the deployment location information of each temperature measuring unit and the installation location information of each air outlet, and mark the insulation technical indicators of each structural component in the temperature control building model to generate a building simulation model.

8. The central air-conditioning automatic temperature control system based on zone temperature evaluation according to claim 6 is characterized in that: The isothermal region fitting module includes: A spatial grid creation submodule is used to create a temperature assessment coordinate system and a number of spatial grids in the building simulation model, obtain temperature data of each point in real time, and mark the temperature data of each point to the corresponding spatial grid according to the associated spatial coordinates; The temperature evaluation value calculation submodule is used to process the known temperature data of several points and their spatial coordinates through an interpolation algorithm to calculate the temperature evaluation value of each spatial grid; An isothermal region determination submodule is used to determine each isothermal region from the building simulation model based on the temperature evaluation value of each space grid and a plurality of preset isothermal value intervals; The point temperature data is associated with the identification information of the corresponding temperature measuring unit; the isothermal area refers to an area where the temperature is between a specific numerical range; the temperature evaluation value of the spatial grid where the temperature measuring unit is located is the point temperature data corresponding to the temperature measuring unit.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the central air-conditioning automatic temperature control method based on zone temperature evaluation as described in any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the central air-conditioning automatic temperature control method based on zone temperature evaluation as claimed in any one of claims 1 to 5 are implemented.

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