Intelligent control method and device for temperature control equipment based on temperature field

Abstract

The present invention discloses a temperature field-based intelligent control method and device for temperature control equipment. The method includes: analyzing temperature control data of a target scene to obtain a scene analysis result including zone temperature control information for different temperature control zones in the target scene; comparing the scene analysis result with standard temperature control parameters to obtain adaptation information between the scene analysis result and the standard temperature control parameters; when it is determined that all adaptation information indicates the existence of a zone to be adjusted, generating a target temperature control parameter based on the adaptation information and zone temperature control information corresponding to the zone to be adjusted, combining a temperature control algorithm and device parameters of the temperature control device, wherein the zone to be adjusted is a zone whose adaptation information of a certain temperature control zone meets a preset temperature control condition; and then adjusting the device operating parameters of the temperature control device based on the target temperature control parameter until it is determined that the adaptation information corresponding to the zone to be adjusted does not meet the temperature control condition. It can be seen that the implementation of the present invention can solve the problem of uneven temperature field distribution generated by air conditioning temperature control.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control and equipment parameter control, and in particular to a temperature field-based intelligent control method and device for temperature control equipment. Background Art

[0002] When operating, conventional air conditioners achieve cooling or heating in different areas of the environment by adjusting the tilt angle of the air outlet baffle. Common air supply modes include: in cooling mode, the air outlet baffle is tilted downward at a certain angle to shorten the maximum air supply distance, thereby achieving a rapid temperature drop in areas closer to the air conditioner; in addition, if the air outlet baffle is slightly adjusted to the horizontal direction, the air outlet can be more horizontal, and the air supply distance can be extended. Therefore, conventional air conditioners achieve air supply / cooling / heating functions in different indoor environments by adjusting the tilt angle of the air outlet baffle.

[0003] However, the aforementioned air supply methods for air conditioners: the first one causes higher temperatures in areas farther from the air conditioner, while the second one causes higher temperatures closer to the air conditioner. Both scenarios ultimately lead to uneven temperature distribution throughout the environment, creating hot and cold zones and reducing the user experience. Therefore, it is crucial to address the uneven temperature distribution created by traditional air conditioner temperature control methods. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent control method and device for temperature control equipment based on temperature field, which can solve the problem of uneven temperature field distribution generated in traditional air-conditioning temperature control mode and improve the accuracy of air-conditioning temperature control.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent control method for temperature control equipment based on a temperature field, the method comprising:

[0006] Analyzing the collected temperature control data for a target scene to obtain a scene analysis result corresponding to the temperature control data, the scene analysis result including zone temperature control information for different temperature control zones in the target scene, all of the zone temperature control information being used to adjust device operating parameters of the temperature control device in the target scene;

[0007] Comparing the scene analysis result with the predetermined standard temperature distribution parameters to obtain adaptation information between the scene analysis result and the standard temperature distribution parameters;

[0008] When it is determined that all the adaptation information indicates that there is a partition to be adjusted, generating a target temperature control parameter based on the adaptation information corresponding to the partition to be adjusted and the partition temperature control information, in combination with a preset temperature control algorithm and device parameters corresponding to the temperature control device, the partition to be adjusted being a partition whose adaptation information of a certain temperature control partition meets a preset temperature control condition, and the target temperature control parameter is used to control the temperature control device to perform a temperature control operation for the partition to be adjusted;

[0009] According to the target temperature control parameters, the device operating parameters of the temperature control device are adjusted, and when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control conditions, it is determined that the temperature control operation for the partition to be adjusted is completed.

[0010] As an optional embodiment, in the first aspect of the present invention, the zone temperature control information corresponding to each temperature control zone includes first temperature control information and second temperature control information corresponding to the temperature control zone, where the first temperature control information includes a distance and an offset angle between the temperature control zone and the temperature control device;

[0011] The second temperature control information corresponding to each temperature control zone includes at least the regional temperature corresponding to the temperature control zone, and also includes at least one of the gas flow rate, regional humidity, and regional coverage area corresponding to the temperature control zone;

[0012] When a target person is detected in the target scene, the first temperature control information corresponding to the temperature control zone where the target person is located also includes a person identification, and the person identification is used to indicate that the target person exists in the temperature control zone, and the zone level corresponding to the temperature control zone including the person identification is higher than the zone level corresponding to the temperature control zone not including the person identification.

[0013] As an optional embodiment, in the first aspect of the present invention, the predetermined standard temperature configuration parameter includes a temperature control state for the target scene, and the temperature control state includes a cooling state, a heating state, or a constant temperature state;

[0014] The comparing the scene analysis result according to the predetermined standard temperature distribution parameters to obtain the adaptation information between the scene analysis result and the standard temperature distribution parameters includes:

[0015] Determining sub-temperature distribution data corresponding to each temperature control zone in the target scene according to the determined standard temperature distribution parameters;

[0016] For each temperature control zone, compare the data difference between the regional temperature of the temperature control zone and the sub-temperature distribution data corresponding to the temperature control zone, and generate sub-adaptation information for the temperature control zone based on the data difference and the temperature control state;

[0017] The sub-adaptation information of all the temperature control zones is determined as the adaptation information between the scene analysis result and the standard temperature control parameters.

[0018] As an optional implementation manner, in the first aspect of the present invention, when it is determined that all the adaptation information indicates that there is a partition to be adjusted, generating the target temperature control parameters based on the adaptation information corresponding to the partition to be adjusted and the partition temperature control information, combined with a preset temperature control algorithm and the device parameters corresponding to the temperature control device, includes:

[0019] Calculating a first temperature control parameter based on the sub-adaptation information corresponding to the partition to be adjusted and the second temperature control information corresponding to the partition to be adjusted, where the first temperature control parameter is used to control an output airflow parameter of the temperature control device, where the output airflow parameter includes at least airflow temperature and also includes gas flow rate and / or gas humidity;

[0020] generating a second temperature control parameter based on the distance and offset angle between the zone to be adjusted and the temperature control device, and the standard temperature distribution parameter, in combination with a preset temperature control algorithm and device parameters corresponding to the temperature control device, wherein the second temperature control parameter is used to control a baffle angle and a swing frequency of an air guide plate included in the temperature control device;

[0021] The first temperature control parameter and the second temperature control parameter are determined as target temperature control parameters.

[0022] As an optional implementation, in the first aspect of the present invention, before analyzing the collected temperature control data for the target scene, the method further includes:

[0023] detecting whether a target cleaning device in operation exists in a target scene, and when detecting that the target cleaning device does not exist in the target scene, acquiring first scanning data obtained by a temperature sensing device and an infrared imaging device performing a scanning operation on the target scene as temperature control data of the target scene;

[0024] When the target cleaning device is detected to exist in the target scene, second scanning data is obtained, and based on the first scanning data and the second scanning data, combined with a preset scene data analysis algorithm, temperature control data for the target scene is generated. The second scanning data is the temperature field scanning data constructed by the target cleaning device for the target scene.

[0025] As an optional embodiment, in the first aspect of the present invention, after adjusting the device operating parameters of the temperature control device according to the target temperature control parameters, the method further includes:

[0026] Collecting adjustment partition data corresponding to the partition to be adjusted, where the adjustment partition data is partition temperature data of the partition to be adjusted after the temperature control operation is performed on the partition to be adjusted;

[0027] Analyzing the adjustment partition data to obtain temperature change information corresponding to the partition to be adjusted, and comparing the temperature change information with the determined temperature control prediction information to obtain an actual correction value between the temperature change information and the temperature control information;

[0028] When it is determined that the actual correction value is within the prediction correction threshold included in the temperature control prediction information, the execution of the method of determining that the temperature control operation for the partition to be adjusted is completed when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control condition is triggered.

[0029] As an optional implementation, in the first aspect of the present invention, when it is determined that the actual correction value is not within the prediction correction threshold included in the temperature control prediction information, the method further includes:

[0030] Analyze the actual correction value, the temperature change information, and the temperature control prediction information to obtain a correction factor, where the correction factor is a factor that causes the actual correction value to be outside the predicted correction threshold;

[0031] According to the correction factor, the temperature control prediction information and the target temperature control parameter, combined with the temperature control algorithm, the correction parameter for the partition to be adjusted is generated, and according to the correction parameter, the device operating parameters of the temperature control device are adjusted, and the execution is triggered. When it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control condition, it is determined that the temperature control operation for the partition to be adjusted is completed.

[0032] A second aspect of the present invention discloses an intelligent control device for temperature control equipment based on a temperature field, the device comprising:

[0033] an analysis module for analyzing the collected temperature control data for a target scene to obtain a scene analysis result corresponding to the temperature control data, the scene analysis result including zone temperature control information for different temperature control zones in the target scene, all of the zone temperature control information being used to adjust device operating parameters of the temperature control device in the target scene;

[0034] A comparison module, configured to compare the scenario analysis result with predetermined standard temperature distribution parameters to obtain adaptation information between the scenario analysis result and the standard temperature distribution parameters;

[0035] a generation module configured to, when determining that all of the adaptation information indicates the presence of a partition to be adjusted, generate a target temperature control parameter based on the adaptation information and the partition temperature control information corresponding to the partition to be adjusted, in combination with a preset temperature control algorithm and device parameters corresponding to the temperature control device, wherein the partition to be adjusted is a partition whose adaptation information satisfies a preset temperature control condition, and the target temperature control parameter is used to control the temperature control device to perform a temperature control operation on the partition to be adjusted;

[0036] an adjustment module, configured to adjust the device operating parameters of the temperature control device according to the target temperature control parameters;

[0037] The determination module is configured to determine that the temperature control operation for the partition to be adjusted is completed when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not satisfy the temperature control condition.

[0038] As an optional embodiment, in the second aspect of the present invention, the zone temperature control information corresponding to each temperature control zone includes first temperature control information and second temperature control information corresponding to the temperature control zone, where the first temperature control information includes a distance and an offset angle between the temperature control zone and the temperature control device;

[0039] The second temperature control information corresponding to each temperature control zone includes at least the regional temperature corresponding to the temperature control zone, and also includes at least one of the gas flow rate, regional humidity, and regional coverage area corresponding to the temperature control zone;

[0040] When a target person is detected in the target scene, the first temperature control information corresponding to the temperature control zone where the target person is located also includes a person identification, and the person identification is used to indicate that the target person exists in the temperature control zone, and the zone level corresponding to the temperature control zone including the person identification is higher than the zone level corresponding to the temperature control zone not including the person identification.

[0041] As an optional embodiment, in the second aspect of the present invention, the predetermined standard temperature configuration parameter includes a temperature control state for the target scene, and the temperature control state includes a cooling state, a heating state, or a constant temperature state;

[0042] The comparison module compares the scene analysis result according to the predetermined standard temperature configuration parameters to obtain the adaptation information between the scene analysis result and the standard temperature configuration parameters, specifically including:

[0043] Determining sub-temperature distribution data corresponding to each temperature control zone in the target scene according to the determined standard temperature distribution parameters;

[0044] For each temperature control zone, compare the data difference between the regional temperature of the temperature control zone and the sub-temperature distribution data corresponding to the temperature control zone, and generate sub-adaptation information for the temperature control zone based on the data difference and the temperature control state;

[0045] The sub-adaptation information of all the temperature control zones is determined as the adaptation information between the scene analysis result and the standard temperature control parameters.

[0046] As an optional implementation, in the second aspect of the present invention, the generation module generates the target temperature control parameters based on the adaptation information corresponding to the partition to be adjusted and the partition temperature control information, combined with a preset temperature control algorithm and the device parameters corresponding to the temperature control device, specifically including:

[0047] When it is determined that all the adaptation information indicates that a partition to be adjusted exists, calculating a first temperature control parameter based on the sub-adaptation information corresponding to the partition to be adjusted and the second temperature control information corresponding to the partition to be adjusted, where the first temperature control parameter is used to control an output airflow parameter of the temperature control device, where the output airflow parameter includes at least airflow temperature and also includes gas flow rate and / or gas humidity;

[0048] generating a second temperature control parameter based on the distance and offset angle between the zone to be adjusted and the temperature control device, and the standard temperature distribution parameter, in combination with a preset temperature control algorithm and device parameters corresponding to the temperature control device, wherein the second temperature control parameter is used to control a baffle angle and a swing frequency of an air guide plate included in the temperature control device;

[0049] The first temperature control parameter and the second temperature control parameter are determined as target temperature control parameters.

[0050] As an optional embodiment, in the second aspect of the present invention, the device further includes:

[0051] a detection module, configured to detect whether there is a target cleaning device in operation in the target scene before the analysis module analyzes the collected temperature control data for the target scene;

[0052] an acquisition module, configured to, when detecting that the target cleaning device does not exist in the target scene, acquire first scanning data obtained by a temperature sensing device and an infrared imaging device performing a scanning operation on the target scene as temperature control data of the target scene;

[0053] The acquisition module is further configured to acquire second scanning data when detecting that the target cleaning device exists in the target scene;

[0054] The generation module is also used to generate temperature control data for the target scene based on the first scanning data and the second scanning data, combined with a preset scene data analysis algorithm, where the second scanning data is the temperature field scanning data constructed by the target cleaning equipment for the target scene.

[0055] As an optional embodiment, in the second aspect of the present invention, the device further includes:

[0056] an acquisition module, configured to acquire adjustment partition data corresponding to the partition to be adjusted after the adjustment module adjusts the device operating parameters of the temperature control device according to the target temperature control parameters, the adjustment partition data being partition temperature data of the partition to be adjusted after the temperature control operation is performed on the partition to be adjusted;

[0057] The analysis module is further configured to analyze the adjustment partition data to obtain temperature change information corresponding to the partition to be adjusted;

[0058] The comparison module is also used to compare the temperature change information according to the determined temperature control prediction information to obtain an actual correction value between the temperature change information and the temperature control information; when it is determined that the actual correction value is within the prediction correction threshold included in the temperature control prediction information, the determination module is triggered to execute the determination that the temperature control operation for the partition to be adjusted is completed when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control condition.

[0059] As an optional embodiment, in the second aspect of the present invention, the analysis module is further configured to, when it is determined that the actual correction value is not within the prediction correction threshold included in the temperature control prediction information, analyze the actual correction value, the temperature change information, and the temperature control prediction information to obtain a correction factor, where the correction factor is a factor that causes the actual correction value to be outside the prediction correction threshold;

[0060] The generating module is further configured to generate a correction parameter for the partition to be adjusted based on the correction factor, the temperature control prediction information, and the target temperature control parameter in combination with the temperature control algorithm;

[0061] The adjustment module is also used to adjust the device operating parameters of the temperature control device according to the correction parameters, and trigger the execution of the temperature control operation for the partition to be adjusted when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control conditions.

[0062] The third aspect of the present invention discloses another intelligent control device for temperature control equipment based on a temperature field, the device comprising:

[0063] a memory storing executable program code;

[0064] a processor coupled to the memory;

[0065] The processor calls the executable program code stored in the memory to execute the temperature control device intelligent control method based on temperature field disclosed in the first aspect of the present invention.

[0066] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the temperature field-based intelligent control method for temperature control equipment disclosed in the first aspect of the present invention.

[0067] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0068] In an embodiment of the present invention, a temperature field-based intelligent control method for a temperature control device is provided. The method includes: analyzing collected temperature control data for a target scene to obtain a scene analysis result for the target scene, the scene analysis result including zone temperature control information for different temperature control zones in the target scene, and all zone temperature control information being used to adjust device operating parameters of the temperature control device in the target scene; comparing the scene analysis result according to predetermined standard temperature distribution parameters to obtain adaptation information between the scene analysis result and the standard temperature distribution parameters; when it is determined that all adaptation information indicates the presence of a zone to be adjusted, generating a target temperature control parameter based on the adaptation information and zone temperature control information corresponding to the zone to be adjusted, in combination with a preset temperature control algorithm and device parameters corresponding to the temperature control device, the zone to be adjusted being a zone whose adaptation information of a certain temperature control zone meets a preset temperature control condition, and the target temperature control parameter being used to control the temperature control device to perform a temperature control operation for the zone to be adjusted; adjusting the device operating parameters of the temperature control device according to the target temperature control parameter, and determining that the temperature control operation for the zone to be adjusted is completed when it is determined that the adaptation information corresponding to the zone to be adjusted has been adjusted to no longer meet the temperature control condition. It can be seen that the implementation of the present invention can automatically analyze the collected temperature control data of the target scene, thereby dividing the target scene according to the regional temperature to obtain multiple temperature control partitions, thereby improving the analysis efficiency of the temperature control data of the target scene and the accuracy of the temperature control partitions obtained by division. Different from the analysis of the overall temperature field, the division of the subdivided temperature control partitions improves the accuracy of subsequent temperature control operations performed on different temperature control partitions; it can also compare the scene analysis results according to the standard temperature distribution parameters to obtain adaptation information, and then for the existing partition to be adjusted, intelligently integrate the adaptation information of the partition to be adjusted, the partition temperature control information, the temperature control algorithm and the device parameters of the temperature control device to generate the target temperature control parameters, thereby improving the accuracy and reliability of the generated target temperature control parameters; the generated target temperature control parameters are used to adjust the generated operating parameters until the adaptation information of the partition to be adjusted is adjusted to not meet the temperature control conditions, that is, the uneven temperature distribution of the temperature field in the target scene is solved. The generation of target temperature control parameters for the partition to be adjusted improves the temperature control accuracy and efficiency, which is conducive to improving the user experience of using the temperature control device. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0070] Figure 1 This is a schematic diagram of a scenario architecture applicable to a temperature control device intelligent control method based on a temperature field disclosed in an embodiment of the present invention;

[0071] Figure 2 This is a flow chart of an intelligent control method for temperature control equipment based on a temperature field disclosed in an embodiment of the present invention;

[0072] Figure 3 This is a flow chart of another intelligent control method for temperature control equipment based on a temperature field disclosed in an embodiment of the present invention;

[0073] Figure 4 This is a schematic structural diagram of an intelligent control device for temperature control equipment based on a temperature field disclosed in an embodiment of the present invention;

[0074] Figure 5 This is a schematic structural diagram of another intelligent control device for temperature control equipment based on a temperature field disclosed in an embodiment of the present invention;

[0075] Figure 6 This is a structural diagram of another intelligent control device for temperature control equipment based on temperature field disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0076] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0077] The terms "first," "second," and so on, in the description and claims of the present invention and the accompanying drawings are used to distinguish between different items, not to describe a specific order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or end comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed therein, or may optionally include other steps or elements inherent to such process, method, product, or end.

[0078] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0079] The present invention discloses a temperature control device intelligent control method and device based on a temperature field. The method and device can automatically analyze the collected temperature control data of a target scene, thereby dividing the target scene according to regional temperature to obtain multiple temperature control zones, thereby improving the analysis efficiency of the temperature control data of the target scene and the accuracy of the temperature control zones obtained by the division. Different from the analysis of the overall temperature field, the division of the subdivided temperature control zones improves the accuracy of subsequent temperature control operations performed on different temperature control zones. The method can also compare the scene analysis results according to standard temperature distribution parameters to obtain adaptation information. Then, for the existing partition to be adjusted, the adaptation information of the partition to be adjusted, the partition temperature control information, the temperature control algorithm and the device parameters of the temperature control device are intelligently integrated to generate target temperature control parameters, thereby improving the accuracy and reliability of the generated target temperature control parameters. The generated target temperature control parameters are used to adjust the generated operating parameters until the adaptation information of the partition to be adjusted is adjusted to no longer meet the temperature control conditions, that is, to solve the problem of uneven temperature distribution in the temperature field of the target scene. The generation of target temperature control parameters for the partition to be adjusted improves the temperature control accuracy and efficiency, which is conducive to improving the user experience of using the temperature control device. The following are detailed descriptions.

[0080] In order to better understand the temperature field-based intelligent control method and device for temperature control equipment described in the present invention, the application scenario to which the temperature field-based intelligent control method for temperature control equipment is applicable is first described. Specifically, the application scenario can be as follows: Figure 1 As shown, Figure 1 This is a schematic diagram of the architecture of a scenario architecture applicable to a temperature control device intelligent control method based on a temperature field disclosed in an embodiment of the present invention. Figure 1 As shown, the scene architecture may include an air conditioner 101 and a sweeper 102, wherein:

[0081] Air Conditioning 101, for Figure 1 The scene performs temperature control operations (such as cooling, heating, constant temperature, air supply, etc.), wherein the air conditioner 101 includes an air conditioner inner baffle 1011 and an air conditioner outer baffle 1012.

[0082] Furthermore, by adjusting the generated target temperature control parameters, the air conditioner inner baffle 1011 and the air conditioner outer baffle 1012 can be adjusted in different operating modes to achieve the desired temperature control. Figure 1 Control the temperature of different temperature control zones in the scene.

[0083] Sweeping machine 102, for Figure 1 The scene performs temperature scanning and constructs a targeted Figure 1 Temperature field data graph of the scene.

[0084] Among them, it should be noted that Figure 1The scenario shown may specifically include multiple temperature control zones ABCDEF, each corresponding to a different zone temperature; further, Figure 1 In the scenario shown, at least one temperature sensor or far-infrared imaging device is arranged to determine the temperature field of different temperature control zones; at the same time, when a sweeper 102 is detected cleaning the bedroom, adjustments are made according to the temperature field map constructed by the sweeper.

[0085] It should be noted that Figure 1 This is just a schematic diagram of the architecture of the scenario architecture applicable to the temperature field-based intelligent control method for temperature control equipment. The air conditioner 101 and sweeper 102 involved are only shown schematically. The specific structure / size / shape / location / installation method can be adaptively adjusted according to the actual scenario. Figure 1 The scenario architecture shown is not limited to this.

[0086] The above describes the scenario architecture applicable to the temperature field-based intelligent control method for temperature control equipment. The following describes the temperature field-based intelligent control method and device for temperature control equipment in detail.

[0087] Example 1

[0088] See also Figure 2 , Figure 2 This is a flow chart of an intelligent control method for temperature control equipment based on a temperature field disclosed in an embodiment of the present invention. Figure 2 The described temperature control device intelligent control method based on temperature field can be applied to the temperature control device intelligent control device based on temperature field, and the embodiment of the present invention does not limit it. Figure 2 As shown, the temperature control device intelligent control method based on the temperature field may include the following operations:

[0089] 201. Analyze the collected temperature control data of the target scene to obtain a scene analysis result corresponding to the temperature control data.

[0090] In the embodiment of the present invention, the scenario analysis result includes zone temperature control information of different temperature control zones in the target scenario, and all zone temperature control information is used to adjust device operating parameters of the temperature control device in the target scenario.

[0091] In the embodiment of the present invention, the zone temperature control information corresponding to each temperature control zone includes first temperature control information and second temperature control information corresponding to the temperature control zone, and the first temperature control information includes the distance and offset angle between the temperature control zone and the temperature control device;

[0092] The second temperature control information corresponding to each temperature control zone includes at least the regional temperature corresponding to the temperature control zone, and also includes at least one of the gas flow rate, regional humidity, and regional coverage area corresponding to the temperature control zone;

[0093] When a target person is detected in the target scene, the first temperature control information corresponding to the temperature control zone where the target person is located also includes a person identification, which is used to indicate that the target person exists in the temperature control zone, and the zone level corresponding to the temperature control zone including the person identification is higher than the zone level corresponding to the temperature control zone not including the person identification.

[0094] 202. Compare the scenario analysis results with the predetermined standard temperature distribution parameters to obtain adaptation information between the scenario analysis results and the standard temperature distribution parameters.

[0095] In the embodiment of the present invention, the predetermined standard temperature configuration parameters include a temperature control state for a target scene, and the temperature control state includes a cooling state, a heating state, or a constant temperature state;

[0096] Step 202 compares the scene analysis result with the predetermined standard temperature configuration parameters to obtain the adaptation information between the scene analysis result and the standard temperature configuration parameters, specifically including:

[0097] According to the determined standard temperature distribution parameters, the corresponding sub-temperature distribution data for each temperature control zone in the target scene is determined;

[0098] For each temperature control zone, compare the data difference between the regional temperature of the temperature control zone and the sub-temperature distribution data corresponding to the temperature control zone, and generate sub-adaptation information for the temperature control zone based on the data difference and the temperature control status;

[0099] The sub-adaptation information of all temperature control zones is determined as the adaptation information between the scene analysis results and the standard temperature control parameters.

[0100] 203. When it is determined that all the adaptation information indicates that there is a partition to be adjusted, generate target temperature control parameters according to the adaptation information and partition temperature control information corresponding to the partition to be adjusted, combined with a preset temperature control algorithm and device parameters corresponding to the temperature control device.

[0101] In the embodiment of the present invention, the zone to be adjusted is a zone whose adaptation information of a certain temperature control zone meets the preset temperature control conditions, and the target temperature control parameter is used to control the temperature control device to perform the temperature control operation for the zone to be adjusted.

[0102] 204. Adjust the device operating parameters of the temperature control device according to the target temperature control parameters, and when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control conditions, determine that the temperature control operation for the partition to be adjusted is completed.

[0103] It can be seen that implementation Figure 2The described temperature field-based intelligent control method for temperature control devices can automatically analyze collected temperature control data for a target scene, thereby dividing the target scene according to regional temperatures to obtain multiple temperature control zones. This improves the efficiency of analyzing the temperature control data for the target scene and the accuracy of the temperature control zones obtained. Unlike the analysis of the entire temperature field, the division of temperature control zones into subdivided zones improves the accuracy of subsequent temperature control operations performed on different temperature control zones. The method can also compare the scene analysis results with standard temperature distribution parameters to obtain adaptation information. Then, for existing zones to be adjusted, the method intelligently integrates the adaptation information of the zones to be adjusted, the zone temperature control information, the temperature control algorithm, and the device parameters of the temperature control device to generate target temperature control parameters, thereby improving the accuracy and reliability of the generated target temperature control parameters. The generated target temperature control parameters are used to adjust the generated operating parameters until the adaptation information of the zones to be adjusted is adjusted to no longer meet the temperature control conditions, thereby resolving the problem of uneven temperature distribution in the temperature field of the target scene. The generation of target temperature control parameters for the zones to be adjusted improves the accuracy and efficiency of temperature control, thereby improving the user experience of the temperature control device.

[0104] In an optional embodiment, when it is determined that all adaptation information indicates that there is a partition to be adjusted, a method for generating target temperature control parameters based on the adaptation information and partition temperature control information corresponding to the partition to be adjusted, combined with a preset temperature control algorithm and device parameters corresponding to the temperature control device, specifically includes:

[0105] Calculate a first temperature control parameter based on the sub-adaptation information corresponding to the zone to be adjusted and the second temperature control information corresponding to the zone to be adjusted. The first temperature control parameter is used to control an output airflow parameter of the temperature control device. The output airflow parameter includes at least airflow temperature and also includes gas flow rate and / or gas humidity.

[0106] Based on the distance and offset angle between the zone to be adjusted and the temperature control device, as well as the standard temperature distribution parameters, a preset temperature control algorithm, and device parameters corresponding to the temperature control device are combined to generate a second temperature control parameter. The second temperature control parameter is used to control the baffle angle and swing frequency of the air guide plate included in the temperature control device.

[0107] The first temperature control parameter and the second temperature control parameter are determined as target temperature control parameters.

[0108] The actual temperature control is as follows: When the air conditioner is in cooling mode and detects that the temperature in a certain area is too high, Figure 1 After adjusting the inner baffle 1011 and the outer baffle 1012 of the air conditioner 101 to the appropriate angle, the swing frequency in this area is appropriately slowed down, which increases the cooling stay time in this area. When the temperature in a certain area is low, the swing frequency in this area is fast, which reduces the cooling stay time in this area.

[0109] It can be seen that in this optional embodiment, when generating the final target temperature control parameters for the partition to be adjusted, the first temperature control parameters (used to control the output airflow related information) and the second temperature control parameters (used to control the baffle angle and swing frequency) are combined to improve the accuracy of the final generated target temperature control parameters.

[0110] In another optional embodiment, when the number of partitions corresponding to the partition to be adjusted is greater than 1, the number of the target person existing in each partition to be adjusted is determined based on the person identifier, and the partition level corresponding to each partition to be adjusted is obtained, wherein the partition level of the partition to be adjusted in which the person identifier exists is higher than the partition level of the partition to be adjusted in which the person identifier does not exist;

[0111] After generating the target temperature control parameters for each partition to be adjusted, the temperature control operation for each partition to be adjusted is performed in sequence according to the partition level of each partition to be adjusted. The higher the partition level of the partition to be adjusted, the earlier the operation sequence of executing the temperature control operation is.

[0112] It can be seen that in this optional embodiment, in the case where there are multiple partitions to be adjusted, the presence or absence of target personnel in the partition to be adjusted is used as the basis for judgment, and temperature control operations are performed preferentially on the partition to be adjusted where the target personnel exist. That is, the efficiency of the temperature control operation of the partition to be adjusted where the target personnel exist is improved, and the time that the target personnel experience the temperature difference in the partition to be adjusted is reduced, thereby improving the accuracy and speed of temperature field temperature control, which is beneficial to improving the user experience.

[0113] Example 2

[0114] See also Figure 3 , Figure 3 This is a flow chart of another intelligent control method for temperature control equipment based on temperature field disclosed in an embodiment of the present invention. Figure 3 The described temperature control device intelligent control method based on temperature field can be applied to the temperature control device intelligent control device based on temperature field, and the embodiment of the present invention does not limit it. Figure 3 As shown, the temperature control device intelligent control method based on the temperature field may include the following operations:

[0115] 301. Analyze the collected temperature control data of the target scene to obtain a scene analysis result corresponding to the temperature control data.

[0116] 302. Compare the scenario analysis results with the predetermined standard temperature distribution parameters to obtain adaptation information between the scenario analysis results and the standard temperature distribution parameters.

[0117] 303. When it is determined that all the adaptation information indicates that there is a partition to be adjusted, generate target temperature control parameters according to the adaptation information and partition temperature control information corresponding to the partition to be adjusted, combined with a preset temperature control algorithm and device parameters corresponding to the temperature control device.

[0118] 304. Adjust the equipment operating parameters of the temperature control equipment according to the target temperature control parameters.

[0119] In the embodiment of the present invention, for other descriptions of steps 301 to 304, please refer to other specific descriptions of steps 201 to 204 in the first embodiment, which will not be repeated in the embodiment of the present invention.

[0120] 305 . Collect adjustment partition data corresponding to the partition to be adjusted. The adjustment partition data is partition temperature data of the partition to be adjusted after a temperature control operation is performed on the partition to be adjusted.

[0121] 306. Analyze the adjustment partition data to obtain temperature change information corresponding to the partition to be adjusted.

[0122] 307. Compare the temperature change information with the determined temperature control prediction information to obtain an actual correction value between the temperature change information and the temperature control information.

[0123] 308. When it is determined that the actual correction value is within the prediction correction threshold included in the temperature control prediction information, and when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control condition, it is determined that the temperature control operation for the partition to be adjusted is completed.

[0124] In the embodiment of the present invention, optionally, when it is determined that the actual correction value is not within the prediction correction threshold included in the temperature control prediction information, the method further includes:

[0125] Analyze the actual correction value, temperature change information, and temperature control prediction information to obtain a correction factor, where the correction factor is the factor that causes the actual correction value to be outside the predicted correction threshold;

[0126] Based on the correction factors, temperature control prediction information and target temperature control parameters, combined with the temperature control algorithm, correction parameters are generated for the partition to be adjusted, and according to the correction parameters, the device operating parameters of the temperature control device are adjusted, and the execution is triggered. When it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control conditions, it is determined that the temperature control operation for the partition to be adjusted is completed.

[0127] It can be seen that implementation Figure 3The described intelligent control method for temperature control equipment based on temperature field sets up a corresponding temperature control correction process: after adjusting the equipment operating parameters, it can automatically collect the adjustment partition data of the partition to be adjusted, and compare the temperature change information of the adjustment partition data with the temperature control prediction information. If the actual correction value is within the predicted correction value, it is determined that the generated target temperature control parameter is correct; if the actual correction value is outside the predicted correction value, the actual correction value, temperature change information and temperature control prediction information are automatically combined to determine the correction factor, and then generate the correction parameter. Finally, the equipment operating parameters of the temperature control equipment are adjusted by the correction parameter, thereby improving the adjustment accuracy for the uniform distribution of scene temperature in the target scene.

[0128] In an optional embodiment, before analyzing the collected temperature control data for the target scene in step 301, the method further includes:

[0129] Detecting whether there is a target cleaning device in operation in the target scene, and when it is detected that there is no target cleaning device in the target scene, obtaining first scanning data obtained by the temperature sensing device and the infrared imaging device performing a scanning operation on the target scene as temperature control data of the target scene;

[0130] When the target cleaning device is detected in the target scene, the second scanning data is obtained, and based on the first scanning data and the second scanning data, combined with the preset scene data analysis algorithm, the temperature control data for the target scene is generated. The second scanning data is the temperature field scanning data constructed by the target cleaning device for the target scene.

[0131] It can be seen that in this optional embodiment, two methods of collecting temperature data for the target scene are provided. If there is no target cleaning equipment in the scene, only the scanning data obtained by the temperature sensing equipment and the infrared imaging equipment for the target scene is used as the temperature control data of the target scene; if there is a target cleaning equipment in the scene, the temperature field scanning data constructed by the target cleaning equipment for the target scene is further obtained, and the first and second scanning data are combined to generate temperature control data for the target scene; the second method of obtaining temperature control data improves the scanning accuracy of the temperature control data for the target scene, and the accurate temperature control data improves the control accuracy of the subsequent execution of scene temperature uniformity control to a certain extent.

[0132] Example 3

[0133] See also Figure 4 , Figure 4This is a structural diagram of a temperature control device intelligent control device based on a temperature field disclosed in an embodiment of the present invention. The temperature control device intelligent control device based on a temperature field can be a temperature control device intelligent control terminal based on a temperature field, a temperature control device intelligent control device based on a temperature field, a temperature control device intelligent control system based on a temperature field, or a temperature control device intelligent control server based on a temperature field. The temperature control device intelligent control server based on a temperature field can be a local server, a remote server, or a cloud server (also known as a cloud server). When the temperature control device intelligent control server based on a temperature field is a non-cloud server, the non-cloud server can communicate with the cloud server, which is not limited in the embodiment of the present invention. Figure 4 As shown, the temperature field-based intelligent control device for temperature control equipment may include an analysis module 401, a comparison module 402, a generation module 403, an adjustment module 404, and a determination module 405, wherein:

[0134] Analysis module 401 is used to analyze the collected temperature control data of the target scene and obtain the scene analysis results corresponding to the temperature control data. The scene analysis results include the partition temperature control information of different temperature control partitions in the target scene. All partition temperature control information is used to adjust the equipment operating parameters of the temperature control equipment in the target scene.

[0135] In the embodiment of the present invention, optionally, the zone temperature control information corresponding to each temperature control zone includes first temperature control information and second temperature control information corresponding to the temperature control zone, and the first temperature control information includes the distance and offset angle between the temperature control zone and the temperature control device;

[0136] The second temperature control information corresponding to each temperature control zone includes at least the regional temperature corresponding to the temperature control zone, and also includes at least one of the gas flow rate, regional humidity, and regional coverage area corresponding to the temperature control zone;

[0137] When a target person is detected in the target scene, the first temperature control information corresponding to the temperature control zone where the target person is located also includes a person identification, which is used to indicate that the target person exists in the temperature control zone, and the zone level corresponding to the temperature control zone including the person identification is higher than the zone level corresponding to the temperature control zone not including the person identification.

[0138] The comparison module 402 is used to compare the scene analysis result with the predetermined standard temperature configuration parameters to obtain the adaptation information between the scene analysis result and the standard temperature configuration parameters.

[0139] In the embodiment of the present invention, optionally, the predetermined standard temperature configuration parameter includes a temperature control state for a target scene, where the temperature control state includes a cooling state, a heating state, or a constant temperature state;

[0140] The comparison module 402 compares the scene analysis result with the predetermined standard temperature configuration parameters to obtain the adaptation information between the scene analysis result and the standard temperature configuration parameters, specifically including:

[0141] According to the determined standard temperature distribution parameters, the corresponding sub-temperature distribution data for each temperature control zone in the target scene is determined;

[0142] For each temperature control zone, compare the data difference between the regional temperature of the temperature control zone and the sub-temperature distribution data corresponding to the temperature control zone, and generate sub-adaptation information for the temperature control zone based on the data difference and the temperature control status;

[0143] The sub-adaptation information of all temperature control zones is determined as the adaptation information between the scene analysis results and the standard temperature control parameters.

[0144] Generation module 403 is used to generate target temperature control parameters when it is determined that there is a partition to be adjusted in all adaptation information, based on the adaptation information and partition temperature control information corresponding to the partition to be adjusted, combined with the preset temperature control algorithm and the device parameters corresponding to the temperature control device. The partition to be adjusted is a partition whose adaptation information of a certain temperature control partition meets the preset temperature control conditions, and the target temperature control parameters are used to control the temperature control device to perform temperature control operations on the partition to be adjusted.

[0145] The adjustment module 404 is configured to adjust the device operating parameters of the temperature control device according to the target temperature control parameters.

[0146] The determination module 405 is configured to determine that the temperature control operation for the partition to be adjusted is completed when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not satisfy the temperature control condition.

[0147] It can be seen that implementation Figure 4The described temperature field-based intelligent control device for temperature control equipment can automatically analyze the collected temperature control data of a target scene, thereby dividing the target scene according to regional temperatures to obtain multiple temperature control zones. This improves the analysis efficiency of the temperature control data of the target scene and the accuracy of the temperature control zones obtained. Different from the analysis of the overall temperature field, the division of the temperature control zones into subdivided zones improves the accuracy of subsequent temperature control operations performed on different temperature control zones. It can also compare the scene analysis results with standard temperature distribution parameters to obtain adaptation information. Then, for the existing zone to be adjusted, the adaptation information of the zone to be adjusted, the zone temperature control information, the temperature control algorithm, and the device parameters of the temperature control device are intelligently integrated to generate target temperature control parameters, thereby improving the accuracy and reliability of the generated target temperature control parameters. The generated target temperature control parameters are used to adjust the generated operating parameters until the adaptation information of the zone to be adjusted is adjusted to no longer meet the temperature control conditions, thereby resolving the problem of uneven temperature distribution in the temperature field of the target scene. The generation of target temperature control parameters for the zone to be adjusted improves the accuracy and efficiency of temperature control, which is conducive to improving the user experience of the temperature control device.

[0148] In an optional embodiment, the generation module 403 generates the target temperature control parameters according to the adaptation information and temperature control information of the partition to be adjusted, in combination with a preset temperature control algorithm and device parameters corresponding to the temperature control device, specifically including:

[0149] When it is determined that all the adaptation information indicates that a partition to be adjusted exists, a first temperature control parameter is calculated based on the sub-adaptation information corresponding to the partition to be adjusted and the second temperature control information corresponding to the partition to be adjusted. The first temperature control parameter is used to control the output airflow parameter of the temperature control device. The output airflow parameter includes at least airflow temperature and also includes gas flow rate and / or gas humidity.

[0150] Based on the distance and offset angle between the zone to be adjusted and the temperature control device, as well as the standard temperature distribution parameters, a preset temperature control algorithm, and device parameters corresponding to the temperature control device are combined to generate a second temperature control parameter. The second temperature control parameter is used to control the baffle angle and swing frequency of the air guide plate included in the temperature control device.

[0151] The first temperature control parameter and the second temperature control parameter are determined as target temperature control parameters.

[0152] It can be seen that in this optional embodiment, when generating the final target temperature control parameters for the partition to be adjusted, the first temperature control parameters (used to control the output airflow related information) and the second temperature control parameters (used to control the baffle angle and swing frequency) are combined to improve the accuracy of the final generated target temperature control parameters.

[0153] In another optional embodiment, Figure 5As shown, the device may further include a detection module 406 and an acquisition module 407, wherein:

[0154] The detection module 406 is used to detect whether there is a target cleaning device in operation in the target scene before the analysis module 401 analyzes the collected temperature control data for the target scene.

[0155] The acquisition module 407 is configured to acquire first scanning data obtained by the temperature sensing device and the infrared imaging device performing a scanning operation on the target scene as temperature control data of the target scene when it is detected that the target cleaning device does not exist in the target scene.

[0156] The acquisition module 407 is further configured to acquire second scanning data when it is detected that a target cleaning device exists in the target scene.

[0157] The generation module 403 is further used to generate temperature control data for the target scene based on the first scanning data and the second scanning data in combination with a preset scene data analysis algorithm. The second scanning data is the temperature field scanning data constructed by the target cleaning device for the target scene.

[0158] It can be seen that implementation Figure 5 The described temperature control equipment intelligent control device based on temperature field provides two methods for collecting temperature data of the target scene. If there is no target cleaning equipment in the scene, only the scanning data obtained by the temperature sensing equipment and the infrared imaging equipment for the target scene is used as the temperature control data of the target scene; if there is a target cleaning equipment in the scene, the temperature field scanning data constructed by the target cleaning equipment for the target scene is further obtained, and the first and second scanning data are combined to generate temperature control data for the target scene; the second method for obtaining temperature control data improves the scanning accuracy of the temperature control data for the target scene, and the accurate temperature control data improves the control accuracy of the subsequent execution of scene temperature uniformity control to a certain extent.

[0159] In another optional embodiment, Figure 5 As shown, the apparatus may further include a collection module 408, wherein:

[0160] The acquisition module 408 is used to collect the adjustment partition data corresponding to the partition to be adjusted after the adjustment module 404 adjusts the device operating parameters of the temperature control device according to the target temperature control parameters. The adjustment partition data is the partition temperature data of the partition to be adjusted after the temperature control operation is performed on the partition to be adjusted.

[0161] The analysis module 401 is further used to analyze the adjustment partition data to obtain temperature change information corresponding to the partition to be adjusted.

[0162] Comparison module 402 is further configured to compare the temperature change information with the determined temperature control prediction information to obtain an actual correction value between the temperature change information and the temperature control information. If the actual correction value is determined to be within the predicted correction threshold included in the temperature control prediction information, determination module 405 is triggered to execute the aforementioned step of determining completion of the temperature control operation for the partition to be adjusted upon determining that the adaptation information corresponding to the partition to be adjusted has been adjusted to no longer satisfy the temperature control condition.

[0163] Optionally, the analysis module 401 is also used to analyze the actual correction value, temperature change information and temperature control prediction information to obtain a correction factor when it is determined that the actual correction value is not within the predicted correction threshold included in the temperature control prediction information. The correction factor is a factor that causes the actual correction value to be outside the predicted correction threshold.

[0164] The generation module 403 is further configured to generate correction parameters for the partition to be adjusted based on the correction factor, the temperature control prediction information, and the target temperature control parameter in combination with the temperature control algorithm.

[0165] The adjustment module 404 is also used to adjust the device operating parameters of the temperature control device according to the correction parameters, and trigger the execution of the temperature control operation for the partition to be adjusted when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control conditions.

[0166] It can be seen that in this optional embodiment, a corresponding temperature control correction process is set up: after adjusting the equipment operating parameters, the adjustment partition data of the partition to be adjusted can be automatically collected, and the temperature change information of the adjustment partition data can be compared with the temperature control prediction information. If the actual correction value is within the predicted correction value, it is determined that the generated target temperature control parameter is correct; if the actual correction value is outside the predicted correction value, the actual correction value, temperature change information and temperature control prediction information are automatically integrated to determine the correction factor, and then generate the correction parameter. Finally, the equipment operating parameters of the temperature control equipment are adjusted by the correction parameter, thereby improving the adjustment accuracy for the uniform distribution of scene temperature in the target scene.

[0167] Example 4

[0168] See also Figure 6 , Figure 6 This is a schematic diagram of the structure of another intelligent control device for temperature control equipment based on temperature field disclosed in an embodiment of the present invention. Figure 6 As shown, the temperature control device intelligent control device based on temperature field may include:

[0169] A memory 501 storing executable program code;

[0170] a processor 502 coupled to the memory 501;

[0171] The processor 502 calls the executable program code stored in the memory 501 to execute the steps of the temperature control device intelligent control method based on the temperature field described in the first embodiment of the present invention or the second embodiment of the present invention.

[0172] Example 5

[0173] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of the temperature control device intelligent control method based on temperature field described in Example 1 or Example 2 of the present invention.

[0174] Example 6

[0175] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the temperature field-based temperature control device intelligent control method described in Example 1 or Example 2.

[0176] The device embodiments described above are merely illustrative, wherein the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Those skilled in the art can understand and implement the present invention without inventive effort.

[0177] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the above technical solution, in essence, or the portion that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer storage medium, including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0178] Finally, it should be noted that the intelligent control method and device for temperature control equipment based on temperature field disclosed in the embodiment of the present invention only discloses a preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that it is still possible to modify the technical solutions recorded in the aforementioned embodiments, or to replace some of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An intelligent control method for temperature control equipment based on temperature field, characterized in that: The method comprises: Analyze the collected temperature control data of the target scene to obtain a scene analysis result corresponding to the temperature control data, the scene analysis result including zone temperature control information for different temperature control zones in the target scene, all of the zone temperature control information being used to adjust device operating parameters of the temperature control device in the target scene; Comparing the scene analysis result with the predetermined standard temperature distribution parameters to obtain adaptation information between the scene analysis result and the standard temperature distribution parameters; When it is determined that all the adaptation information indicates that there is a partition to be adjusted, generating a target temperature control parameter based on the adaptation information corresponding to the partition to be adjusted and the partition temperature control information, in combination with a preset temperature control algorithm and device parameters corresponding to the temperature control device, the partition to be adjusted being a partition whose adaptation information of a certain temperature control partition meets a preset temperature control condition, and the target temperature control parameter is used to control the temperature control device to perform a temperature control operation for the partition to be adjusted; Adjusting the device operating parameters of the temperature control device according to the target temperature control parameters, and determining that the temperature control operation for the partition to be adjusted is completed when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to no longer meet the temperature control condition; The zone temperature control information corresponding to each temperature control zone includes first temperature control information and second temperature control information corresponding to the temperature control zone, wherein the first temperature control information includes the distance and offset angle between the temperature control zone and the temperature control device; The second temperature control information corresponding to each temperature control zone includes at least the regional temperature corresponding to the temperature control zone, and also includes at least one of the gas flow rate, regional humidity, and regional coverage area corresponding to the temperature control zone; When a target person is detected in the target scene, the first temperature control information corresponding to the temperature control zone where the target person is located further includes a person identifier, where the person identifier is used to indicate that the target person is present in the temperature control zone, and the zone level corresponding to the temperature control zone including the person identifier is higher than the zone level corresponding to the temperature control zone not including the person identifier; When it is determined that all the adaptation information indicates that there is a partition to be adjusted, generating a target temperature control parameter based on the adaptation information corresponding to the partition to be adjusted and the partition temperature control information, in combination with a preset temperature control algorithm and device parameters corresponding to the temperature control device, includes: Calculating a first temperature control parameter based on the sub-adaptation information corresponding to the partition to be adjusted and the second temperature control information corresponding to the partition to be adjusted, where the first temperature control parameter is used to control an output airflow parameter of the temperature control device, where the output airflow parameter includes at least airflow temperature and also includes gas flow rate and / or gas humidity; generating a second temperature control parameter based on the distance and offset angle between the zone to be adjusted and the temperature control device, and the standard temperature distribution parameter, in combination with a preset temperature control algorithm and device parameters corresponding to the temperature control device, wherein the second temperature control parameter is used to control a baffle angle and a swing frequency of an air guide plate included in the temperature control device; determining the first temperature control parameter and the second temperature control parameter as target temperature control parameters; Before analyzing the collected temperature control data for the target scene, the method further includes: detecting whether a target cleaning device in operation exists in a target scene, and when detecting that the target cleaning device does not exist in the target scene, acquiring first scanning data obtained by a temperature sensing device and an infrared imaging device performing a scanning operation on the target scene as temperature control data of the target scene; When the target cleaning device is detected to exist in the target scene, second scanning data is obtained, and based on the first scanning data and the second scanning data, combined with a preset scene data analysis algorithm, temperature control data for the target scene is generated. The second scanning data is the temperature field scanning data constructed by the target cleaning device for the target scene.

2. The intelligent control method for temperature control equipment based on temperature field according to claim 1, characterized in that: The predetermined standard temperature configuration parameters include a temperature control state for the target scene, wherein the temperature control state includes a cooling state, a heating state, or a constant temperature state; The comparing the scene analysis result according to the predetermined standard temperature distribution parameters to obtain the adaptation information between the scene analysis result and the standard temperature distribution parameters includes: Determining sub-temperature distribution data corresponding to each temperature control zone in the target scene according to the determined standard temperature distribution parameters; For each temperature control zone, compare the data difference between the regional temperature of the temperature control zone and the sub-temperature distribution data corresponding to the temperature control zone, and generate sub-adaptation information for the temperature control zone based on the data difference and the temperature control state; The sub-adaptation information of all the temperature control zones is determined as the adaptation information between the scene analysis result and the standard temperature control parameters.

3. The intelligent control method for temperature control equipment based on temperature field according to claim 1, characterized in that: After adjusting the device operating parameters of the temperature control device according to the target temperature control parameters, the method further includes: Collecting adjustment partition data corresponding to the partition to be adjusted, where the adjustment partition data is partition temperature data of the partition to be adjusted after the temperature control operation is performed on the partition to be adjusted; Analyzing the adjustment partition data to obtain temperature change information corresponding to the partition to be adjusted, and comparing the temperature change information with the determined temperature control prediction information to obtain an actual correction value between the temperature change information and the temperature control information; When it is determined that the actual correction value is within the prediction correction threshold included in the temperature control prediction information, the execution of the method of determining that the temperature control operation for the partition to be adjusted is completed when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control condition is triggered.

4. The intelligent control method for temperature control equipment based on temperature field according to claim 3, characterized in that: When it is determined that the actual correction value is not within the prediction correction threshold included in the temperature control prediction information, the method further includes: Analyze the actual correction value, the temperature change information, and the temperature control prediction information to obtain a correction factor, where the correction factor is a factor that causes the actual correction value to be outside the predicted correction threshold; According to the correction factor, the temperature control prediction information and the target temperature control parameter, combined with the temperature control algorithm, the correction parameter for the partition to be adjusted is generated, and according to the correction parameter, the device operating parameters of the temperature control device are adjusted, and the execution is triggered. When it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not meet the temperature control condition, it is determined that the temperature control operation for the partition to be adjusted is completed.

5. An intelligent control device for temperature control equipment based on temperature field, characterized in that: The device is used to execute the temperature control device intelligent control method based on the temperature field according to any one of claims 1 to 4, and the device includes: an analysis module for analyzing the collected temperature control data for a target scene to obtain a scene analysis result corresponding to the temperature control data, the scene analysis result including zone temperature control information for different temperature control zones in the target scene, all of the zone temperature control information being used to adjust device operating parameters of the temperature control device in the target scene; A comparison module, configured to compare the scenario analysis result with predetermined standard temperature distribution parameters to obtain adaptation information between the scenario analysis result and the standard temperature distribution parameters; a generation module configured to, when determining that all of the adaptation information indicates the presence of a partition to be adjusted, generate a target temperature control parameter based on the adaptation information and the partition temperature control information corresponding to the partition to be adjusted, in combination with a preset temperature control algorithm and device parameters corresponding to the temperature control device, wherein the partition to be adjusted is a partition whose adaptation information satisfies a preset temperature control condition, and the target temperature control parameter is used to control the temperature control device to perform a temperature control operation on the partition to be adjusted; an adjustment module, configured to adjust the device operating parameters of the temperature control device according to the target temperature control parameters; The determination module is configured to determine that the temperature control operation for the partition to be adjusted is completed when it is determined that the adaptation information corresponding to the partition to be adjusted has been adjusted to not satisfy the temperature control condition.

6. An intelligent control device for temperature control equipment based on temperature field, characterized in that: The device comprises: a memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the temperature control device intelligent control method based on the temperature field according to any one of claims 1 to 4.

7. A computer storage medium, characterized in that The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the temperature control device intelligent control method based on the temperature field according to any one of claims 1 to 4.

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