Data intelligent analysis method and intelligent analysis terminal for adjusting environment

Abstract

The application discloses a data intelligent analysis method and an intelligent analysis end for adjusting an environment, wherein the method can improve the comprehensiveness of data by collecting the data of a current area through multiple data collection devices, can improve the analysis accuracy and reliability of user position, distribution, state and other information in the current area based on the comprehensive data analysis of user information of the current area, can improve the analysis accuracy, reliability and efficiency of the environment adjustment parameters of the current area by automatically assigning corresponding weights to each user information and inputting the user information into a comfort analysis model for analysis, can improve the air supply accuracy of the intelligent air conditioning equipment, can meet the needs of different types of people for the environmental comfort, can provide accurate comfortable environment for users, and can reduce the waste of electric power resources.

Description

Technical Field

[0001] This invention relates to the field of intelligent air conditioning equipment technology, and in particular to a data intelligent analysis method and intelligent analysis terminal for adjusting the environment. Background Technology

[0002] With the rapid development of science and technology, more and more devices are moving towards intelligence. Based on their advantages such as convenient and quick operation, saving time and effort, intelligent devices are becoming more and more popular and important in life, work and production scenarios, such as air conditioning equipment.

[0003] In real life, people can manually set the operating mode (such as temperature and fan speed) of air conditioners via remote control or user terminal. The air conditioner then adjusts its functions according to the user's preset settings, such as sleep mode or high fan speed. However, practice has shown that existing air conditioners operate solely based on fixed temperatures and fan speeds set by the device and manually selected by the user. This results in low accuracy in air delivery, failing to provide a truly comfortable environment for the user. Therefore, proposing a technical solution to improve the accuracy of air delivery in air conditioners and provide a truly comfortable environment for users is of paramount importance. Summary of the Invention

[0004] This invention provides a data intelligent analysis method and intelligent analysis terminal for adjusting the environment, which can improve the air delivery accuracy of intelligent air conditioning equipment, meet the environmental comfort needs of different groups of people, and provide users with an accurate and comfortable environment.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses a data intelligent analysis method for adjusting the environment, the method being applied to an intelligent analysis terminal, the method comprising:

[0006] The system acquires data collected by multiple data acquisition devices corresponding to the current area for adjusting the environmental parameters of the current area, wherein all the data acquisition devices include a first acquisition device for collecting user data of the current area;

[0007] Analyze the data collected by each of the first acquisition devices to obtain user information corresponding to the current area. The user information corresponding to the current area includes one or more of the following: user location in the current area, user distribution information in the current area, user status in the current area, user gender in the current area, and user age range in the current area.

[0008] The decision weight of each content included in the user information corresponding to the current area is determined. Based on the determined comfort analysis model, each content included in the user information corresponding to the current area and the decision weight of that content are analyzed to obtain environmental adjustment parameters that match the users in the current area. The environmental adjustment parameters include one or more of the following: wind speed adjustment parameters, wind direction adjustment parameters, temperature adjustment parameters, and air volume adjustment parameters of the current area.

[0009] As an optional implementation, in the first aspect of the present invention, when the user information corresponding to the current region includes the user location and the user status of the current region, the method further includes:

[0010] Based on the user information corresponding to the current area, from multiple environmental adjustment devices in the current area, determine the first environmental adjustment device that needs to participate in the adjustment of the environmental parameters of the current area, and obtain the data of the first environmental adjustment device, including the location of the first environmental adjustment device;

[0011] Based on the location of the first environmental adjustment device, the user status of the current area, and the user location of the current area, information formed by the user of the current area relative to the first environmental adjustment device is determined. The information formed by the user of the current area relative to the first environmental adjustment device includes the distance value between the user of the current area and the first environmental adjustment device, and the part of the user of the current area facing the first environmental adjustment device.

[0012] Based on the information formed by the current area user relative to the first environmental adjustment device, the decision weight of each content included in the user information corresponding to the current area is adjusted, and the operation of analyzing each content included in the user information corresponding to the current area and the decision weight of that content based on the determined comfort analysis model is performed to obtain environmental adjustment parameters that match the current area user.

[0013] As an optional implementation, in the first aspect of the present invention, all the data acquisition devices further include a second acquisition device for acquiring data on airflow information for determining the location of the user in the current area. The data acquired by the second acquisition device includes one or more of the following: air data at the location of the user in the current area, the condition of items at the location of the user in the current area, and the working condition of devices at the location of the user in the current area. The condition of items at the location of the user in the current area includes the placement of items at the location of the user in the current area and / or the size parameters of items at the location of the user in the current area. The air data at the location of the user in the current area includes the air density and / or air temperature at the location of the user in the current area.

[0014] The method further includes:

[0015] Analyze the data collected by each of the second acquisition devices to obtain the airflow information of the current user's location. The airflow information of the current user's location includes one or more of the following: airflow velocity, airflow temperature, and airflow direction.

[0016] The airflow information of the current user's location is updated to the user information corresponding to the current area, and the operation of determining the decision weight of each content included in the user information corresponding to the current area is performed. The user information corresponding to the current area also includes the airflow information of the current user's location.

[0017] As an optional implementation, in the first aspect of the present invention, all the data acquisition devices further include a third acquisition device for acquiring natural attribute information of the current area, wherein the natural attribute information of the current area includes one or more of the following: latitude and longitude information of the current area, altitude information of the current area, climate information of the current area, river information of the current area, and user living habit information of the current area;

[0018] The step of determining the decision weight of each piece of content in the user information corresponding to the current region includes:

[0019] The decision weight is determined based on each piece of content in the user information corresponding to the current region and each piece of content in the natural attribute information of the current region.

[0020] As an optional implementation, in the first aspect of the present invention, the user information corresponding to the current region further includes the number of users in the current region;

[0021] The method further includes:

[0022] When the user information corresponding to the current area includes the user distribution information and the number of users in the current area, and the number of users in the current area is greater than a preset number, the current area is divided into regions based on the user distribution information and the position of the first environmental adjustment device to obtain at least one air supply area, and the preset number is greater than or equal to 2.

[0023] The process of determining the decision weight of each piece of content in the user information corresponding to the current region, analyzing each piece of content in the user information corresponding to the current region and its decision weight based on the determined comfort analysis model, and obtaining environmental adjustment parameters matching the users in the current region includes:

[0024] The decision weight of each item in the user information of each air supply area is analyzed. Based on the determined comfort analysis model, the decision weight of each item in the user information of each air supply area is analyzed to obtain environmental adjustment parameters that match the users of that air supply area.

[0025] As an optional implementation, in the first aspect of the present invention, the data of the first environmental adjustment device further includes the operating performance of the first environmental adjustment device;

[0026] The method further includes:

[0027] Based on the distance between the first environmental adjustment device and the user in the current area, the working performance of the first environmental adjustment device, and the environmental adjustment parameters of the current area, a control strategy for the first environmental adjustment device is generated.

[0028] The control strategy of the first environmental adjustment device is transmitted to the first environmental adjustment device to trigger the first environmental adjustment device to perform a matching operation according to the control strategy of the first environmental adjustment device.

[0029] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0030] Collect the user's body surface condition for each air supply area. The user's body surface condition for each air supply area includes one or more of the following: the user's sweating status, the user's body temperature, the user's clothing status, and the user's facial expression status. The user's clothing status for each air supply area includes one or more of the following: the user's clothing material, the area of ​​the user's body covered by the clothing, and the clothing thickness.

[0031] Analyze the user status and body surface condition of each air supply zone to obtain the urgency of environmental adjustment for that air supply zone.

[0032] Based on the working performance of the first environmental adjustment device, the location of the first environmental adjustment device, and the environmental adjustment parameters of each air supply area, it is determined whether the working performance of the first environmental adjustment device meets the environmental adjustment urgency of each air supply area.

[0033] When the result is determined to be negative, the target air supply area that does not meet the requirements is identified, and the second environmental adjustment device is determined based on the user distribution information of the target air supply area and the location of the first environmental adjustment device.

[0034] Based on the control strategy of the first environmental adjustment device for the target air supply area, the urgency of environmental adjustment in the target air supply area, and the surface condition of the user in the target air supply area, a control strategy for the second environmental adjustment device is generated, and the control strategy of the second environmental adjustment device is transmitted to the second environmental adjustment device to trigger the second environmental adjustment device to perform a matching operation according to the control strategy of the second environmental adjustment device.

[0035] As an optional implementation, in the first aspect of the present invention, the user information corresponding to the current area further includes one or more of the following: the user's health status in the current area, the user's daily routine in the current area, the user's mental state in the current area, and historical data of the user's use of environmental adjustment devices in the current area.

[0036] A second aspect of the present invention discloses an intelligent analysis terminal for adjusting the environment, the intelligent analysis terminal comprising:

[0037] The acquisition module is used to acquire data collected by multiple data acquisition devices corresponding to the current area for adjusting the environmental parameters of the current area, and all the data acquisition devices include a first acquisition device for collecting user data of the current area;

[0038] The analysis module is used to analyze the data collected by each of the first acquisition devices to obtain user information corresponding to the current area. The user information corresponding to the current area includes one or more of the following: the number of users in the current area, the user distribution information in the current area, the user status in the current area, the user gender in the current area, and the user age range in the current area.

[0039] The determination module is used to determine the decision weight of each piece of content included in the user information corresponding to the current region;

[0040] The analysis module is further configured to analyze each of the contents and the decision weight of the contents of the user information corresponding to the current area based on the determined comfort analysis model, and obtain environmental adjustment parameters that match the users in the current area. The environmental adjustment parameters include one or more of the following: wind speed adjustment parameters, wind direction adjustment parameters, temperature adjustment parameters, and air volume adjustment parameters of the current area.

[0041] As an optional implementation, in a second aspect of the present invention, when the user information corresponding to the current area includes the user location and the user status of the current area, the determining module is further configured to determine, based on the user information corresponding to the current area, a first environmental adjustment device that needs to participate in the adjustment of the environmental parameters of the current area from among multiple environmental adjustment devices in the current area;

[0042] The acquisition module is further configured to acquire data from the first environmental adjustment device, the data of which includes the location of the first environmental adjustment device;

[0043] The determining module is further configured to determine, based on the location of the first environmental adjustment device, the user status of the current area, and the user location of the current area, information formed by the user in the current area relative to the first environmental adjustment device, including the distance value between the user in the current area and the first environmental adjustment device, and information on the part of the user in the current area facing the first environmental adjustment device;

[0044] The intelligent analysis terminal also includes:

[0045] The adjustment module is used to adjust the decision weight of each content included in the user information corresponding to the current area based on the information formed by the current area user relative to the first environmental adjustment device, and to trigger the analysis module to perform the operation of analyzing each content included in the user information corresponding to the current area and the decision weight of the content based on the determined comfort analysis model, so as to obtain environmental adjustment parameters matching the current area user.

[0046] As an optional implementation, in a second aspect of the present invention, all the data acquisition devices further include a second acquisition device for acquiring data on airflow information for determining the location of the user in the current area. The data acquired by the second acquisition device includes one or more of the following: air data at the location of the user in the current area, the condition of items at the location of the user in the current area, and the working condition of devices at the location of the user in the current area. The condition of items at the location of the user in the current area includes the placement of items at the location of the user in the current area and / or the size parameters of items at the location of the user in the current area. The air data at the location of the user in the current area includes the air density and / or air temperature at the location of the user in the current area.

[0047] The analysis module is also used to analyze the data collected by each of the second acquisition devices to obtain the airflow information of the current area user's location. The airflow information of the current area user's location includes one or more of the following: airflow velocity, airflow temperature, and airflow direction.

[0048] The intelligent analysis terminal also includes:

[0049] The update module is used to update the airflow information of the current area user's location to the user information corresponding to the current area, and trigger the determination module to perform the operation of determining the decision weight of each content included in the user information corresponding to the current area. The user information corresponding to the current area also includes the airflow information of the current area user's location.

[0050] As an optional implementation, in a second aspect of the present invention, all the data acquisition devices further include a third acquisition device for acquiring natural attribute information of the current area, wherein the natural attribute information of the current area includes one or more of the following: latitude and longitude information of the current area, altitude information of the current area, climate information of the current area, river information of the current area, and user living habit information of the current area;

[0051] Specifically, the method by which the determining module determines the decision weight of each piece of content included in the user information corresponding to the current region includes:

[0052] The decision weight is determined based on each piece of content in the user information corresponding to the current region and each piece of content in the natural attribute information of the current region.

[0053] As an optional implementation, in a second aspect of the present invention, the user information corresponding to the current region further includes the number of users in the current region;

[0054] The intelligent analysis terminal also includes:

[0055] The partitioning module is used to partition all users in the current area according to the user distribution information of the current area and the position of the first environmental adjustment device when the user information corresponding to the current area includes the user distribution information of the current area and the number of users in the current area and the number of users in the current area is greater than a preset number, so as to obtain at least one air supply area, and the preset number is greater than or equal to 2.

[0056] Specifically, the method by which the determining module determines the decision weight of each content included in the user information corresponding to the current area includes: analyzing the decision weight of each content included in the user information of each air supply area; the method by which the analysis module analyzes each content included in the user information corresponding to the current area and the decision weight of that content based on the determined comfort analysis model to obtain environmental adjustment parameters matching the user of the current area specifically includes: analyzing each content included in the user information of each air supply area and the decision weight of that content based on the determined comfort analysis model to obtain environmental adjustment parameters matching the user of that air supply area.

[0057] As an optional implementation, in a second aspect of the present invention, the data of the first environmental adjustment device further includes the operating performance of the first environmental adjustment device;

[0058] The intelligent analysis terminal also includes:

[0059] The generation module is used to generate a control strategy for the first environment adjustment device based on the distance between the first environment adjustment device and the user in the current area, the working performance of the first environment adjustment device, and the environment adjustment parameters of the current area.

[0060] The transmission module is used to transmit the control strategy of the first environmental adjustment device to the first environmental adjustment device, so as to trigger the first environmental adjustment device to perform a matching operation according to the control strategy of the first environmental adjustment device.

[0061] As an optional implementation, in a second aspect of the present invention, the intelligent analysis terminal further includes:

[0062] The data acquisition module is used to collect the user's body surface condition in each of the air supply areas. The user's body surface condition in each air supply area includes one or more of the following: the user's sweating status, the user's body temperature, the user's clothing status, and the user's facial expression status. The user's clothing status in each air supply area includes one or more of the following: the user's clothing material, the area of ​​the user's body covered by the clothing, and the clothing thickness.

[0063] The analysis module is also used to analyze the user status and the user's body surface condition in each air supply area to obtain the urgency of environmental adjustment in the air supply area.

[0064] The judgment module is used to determine whether the working performance of the first environmental adjustment device meets the environmental adjustment urgency of each air supply area based on the working performance of the first environmental adjustment device, the location of the first environmental adjustment device, and the environmental adjustment parameters of each air supply area.

[0065] The determining module is further configured to, when the judging module determines that the result is negative, determine the target air supply area that does not meet the requirements, and determine the second environmental adjustment device based on the user distribution information of the target air supply area and the location of the first environmental adjustment device;

[0066] The generation module is further configured to generate a control strategy for the second environment adjustment device based on the control strategy of the first environment adjustment device for the target air supply area, the urgency of the environmental adjustment of the target air supply area, and the surface condition of the user in the target air supply area.

[0067] The transmission module is further configured to transmit the control strategy of the second environmental adjustment device to the second environmental adjustment device, so as to trigger the second environmental adjustment device to perform a matching operation according to the control strategy of the second environmental adjustment device.

[0068] As an optional implementation, in a second aspect of the present invention, the user information corresponding to the current area further includes one or more of the following: the user's health status in the current area, the user's daily routine in the current area, the user's mental state in the current area, and historical data of the user's use of environmental adjustment devices in the current area.

[0069] A third aspect of the present invention discloses another intelligent analysis terminal for adjusting the environment, the intelligent analysis terminal comprising:

[0070] Memory containing executable program code;

[0071] A processor coupled to the memory;

[0072] The processor calls the executable program code stored in the memory to execute some or all of the steps in any of the data intelligent analysis methods for adjusting the environment disclosed in the first aspect of the present invention.

[0073] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in any of the data intelligent analysis methods for adjusting the environment disclosed in the first aspect of the present invention.

[0074] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0075] In this embodiment of the invention, data collected by multiple data acquisition devices corresponding to the current area are acquired for adjusting the environmental parameters of the current area. All data acquisition devices include a first acquisition device for collecting user data of the current area. The data collected by each first acquisition device is analyzed to obtain user information corresponding to the current area. The user information corresponding to the current area includes one or more of the following: user location in the current area, user distribution information in the current area, user status in the current area, user gender in the current area, and user age range in the current area. The decision weight of each content included in the user information corresponding to the current area is determined. Based on the determined comfort analysis model, each content included in the user information corresponding to the current area and the decision weight of that content are analyzed to obtain environmental adjustment parameters matching the users in the current area. The environmental adjustment parameters include one or more of the following: wind speed adjustment parameters, wind direction adjustment parameters, temperature adjustment parameters, and air volume adjustment parameters of the current area. As can be seen, this invention collects data from the current area using multiple data acquisition devices, which improves the comprehensiveness of the data. Based on this comprehensive data analysis, it enhances the accuracy and reliability of analyzing user information such as location, distribution, and status in the current area. Furthermore, it automatically assigns corresponding weights to each user information and inputs them into the comfort analysis model for analysis. This improves the accuracy, reliability, and efficiency of analyzing environmental adjustment parameters in the current area, enhances the air delivery accuracy of intelligent air conditioning equipment, meets the environmental comfort needs of different groups of people, provides users with an accurate and comfortable environment, and reduces the waste of electricity resources. Attached Figure Description

[0076] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0077] Figure 1 This is a flowchart illustrating a data intelligent analysis method for adjusting the environment, as disclosed in an embodiment of the present invention.

[0078] Figure 2 This is a flowchart illustrating another data intelligent analysis method for adjusting the environment disclosed in an embodiment of the present invention;

[0079] Figure 3 This is a schematic diagram of the structure of an intelligent analysis terminal for adjusting the environment, as disclosed in an embodiment of the present invention;

[0080] Figure 4 This is a schematic diagram of another intelligent analysis terminal for adjusting the environment disclosed in an embodiment of the present invention;

[0081] Figure 5 This is a schematic diagram of the structure of another intelligent analysis terminal for adjusting the environment disclosed in an embodiment of the present invention;

[0082] Figure 6 This is a schematic diagram of a scenario disclosed in an embodiment of the present invention. Detailed Implementation

[0083] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0084] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, intelligent analysis terminal, product, or terminal that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or terminals.

[0085] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0086] This invention discloses a data intelligent analysis method and intelligent analysis terminal for adjusting the environment. It can collect data from the current area through multiple data acquisition devices, improving data comprehensiveness. Based on this comprehensive data, it analyzes user information in the current area, improving the accuracy and reliability of analyzing user location, distribution, and status information. It automatically assigns corresponding weights to each user information and inputs them into a comfort analysis model for analysis. This improves the accuracy, reliability, and efficiency of analyzing environmental adjustment parameters in the current area, enhances the air delivery accuracy of intelligent air conditioning equipment, meets the environmental comfort needs of different groups of people, provides users with an accurate and comfortable environment, and reduces the waste of electricity resources. Detailed descriptions follow.

[0087] To better understand the data intelligent analysis method and intelligent analysis terminal for adjusting the environment described in this invention, the applicable scenario for the data intelligent analysis method for adjusting the environment is first described. Specifically, this scenario can be as follows: Figure 6 As shown, Figure 6 This is a schematic diagram of a scenario disclosed in an embodiment of the present invention. For example... Figure 6 As shown, the scenario may include an intelligent analysis terminal, at least one user, multiple data acquisition devices, at least one intelligent air conditioning device, and items (such as a sofa). The multiple data acquisition devices can be understood as any device capable of collecting user-related data, such as infrared temperature detectors, microwave radar devices, intelligent sweeping devices, image acquisition devices, etc. Items include sofas, cabinets, etc. Each data acquisition device collects data for adjusting the environment in the current area and sends it to the intelligent analysis terminal. After receiving the data, the intelligent analysis terminal analyzes the data collected by the multiple data acquisition devices to obtain the user information corresponding to the current area. This information is then input into a comfort analysis model for further analysis to obtain environmental adjustment parameters matched to the user, and transmitted to the intelligent air conditioning device to adjust the environmental conditions of the current area.

[0088] The above describes the application scenarios applicable to the data intelligent analysis method for adjusting the environment. The following is a detailed description of the data intelligent analysis method and intelligent analysis terminal for adjusting the environment.

[0089] Example 1

[0090] Please see Figure 1 , Figure 1 This is a flowchart illustrating a data intelligent analysis method for adjusting the environment, as disclosed in an embodiment of the present invention. Figure 1 The described method can be applied to an intelligent analysis terminal for adjusting the environment. This intelligent analysis terminal can be integrated into an intelligent air conditioning device or operate independently of it. When the intelligent analysis terminal is independent of the intelligent air conditioning device, a communication connection is established between the intelligent analysis terminal and the intelligent air conditioning device. The intelligent analysis terminal includes an intelligent analysis server and / or an intelligent analysis system. This embodiment of the invention does not impose limitations. Figure 1 As shown, the data intelligence analysis method for adjusting the environment may include the following operations:

[0091] 101. Acquire data collected by multiple data acquisition devices corresponding to the current area for adjusting the environmental parameters of the current area. All data acquisition devices include the first acquisition device used to collect user data of the current area.

[0092] In this embodiment of the invention, the first acquisition device includes, but is not limited to, one or more of the following: microwave radar device, infrared temperature detection device, and image acquisition device in the current area. It should be noted that the first acquisition device can be understood as a device integrated into a smart device, or it can be a device independent of the smart device. The smart device can be any device in the current area, such as smart exercise equipment, smart vacuum cleaners, smart kitchen appliances, etc.

[0093] 102. Analyze the data collected by each first acquisition device to obtain the user information corresponding to the current area.

[0094] In this embodiment of the invention, optionally, the user information corresponding to the current area includes one or more of the following: user location in the current area, user distribution information in the current area, user status in the current area, user gender in the current area, and user age group in the current area. Further, the user information corresponding to the current area also includes one or more of the following: user health status in the current area, user sleep schedule in the current area, user mental state in the current area, and historical data on the user's use of the environmental adjustment equipment in the current area. Furthermore, the user health status in the current area includes one or more of the following: user blood sugar, user blood pressure, user menstrual cycle, user disease status in the current area, and user body type in the current area; the user sleep schedule in the current area includes one or more of the following: user sleep duration, user sleep time period, and user sleep quality in the current area; the historical data on the user's use of the environmental adjustment equipment in the current area includes one or more of the following: historical usage time, historical wind direction, historical air volume, historical air temperature, and historical wind speed; the user mental state in the current area includes the user stress index and / or the user's psychological state in the current area. Thus, the more content included in the user information for the current area, the more beneficial it is to improving the accuracy and reliability of the analysis of the environmental adjustment parameters for the current area, thereby further improving the air supply accuracy of the environmental adjustment equipment. The infrared temperature detection device is used to detect the temperature of the current area, obtain the temperature field distribution of the current area, and determine the user's location in the current area based on the items in the current area and the temperature field distribution. The user's location in the current area includes whether the user is stationary or moving. The items in the current area are any items within the current area. The user information corresponding to the current area includes the user information for each user in the current area.

[0095] 103. Determine the decision weight of each piece of content included in the user information corresponding to the current region.

[0096] In this embodiment of the invention, optionally, determining the decision weight of each piece of content included in the user information corresponding to the current region may include:

[0097] From all the content corresponding to the user information in the current region, determine the information of the pre-determined information categories, analyze the parameter values ​​of each information category, and determine whether the parameter values ​​of each information category are greater than or equal to the determined parameter value threshold. If the result is yes, analyze the weight of each content included in the user information in the current region based on the parameter values ​​of each information category. If the result is no, analyze the weight of each content included in the user information in the current region based on the information category with the highest parameter value among all information categories.

[0098] The information categories include, but are not limited to, age categories and / or health categories and / or mental health categories. The sum of the decision weights for each piece of content within all content is equal to 1.

[0099] As can be seen, this optional implementation method, by analyzing the parameter values ​​of specific information categories among all user information collected in the current region, determines the weight of each user information, which can improve the accuracy and reliability of determining the weight of each user information, thereby further improving the accuracy and reliability of determining the environmental adjustment parameters for matching the current region.

[0100] 104. Based on the determined comfort analysis model, analyze each piece of information in the current area and the decision weight of that piece of information to obtain environmental adjustment parameters that match the users in the current area.

[0101] In this embodiment of the invention, the environmental adjustment parameters include one or more of the following: wind speed adjustment parameters, wind direction adjustment parameters, temperature adjustment parameters, and air volume adjustment parameters for the current area.

[0102] It is evident that implementation Figure 1 The described intelligent data analysis method can collect data from the current area through multiple data acquisition devices, improving the comprehensiveness of the data. Based on this comprehensive data analysis, it can improve the accuracy and reliability of the analysis of user location, distribution, status, and other information in the current area. It can also automatically assign corresponding weights to each user information and input them into the comfort analysis model for analysis, thereby improving the accuracy, reliability, and efficiency of the analysis of environmental adjustment parameters in the current area. This also improves the air delivery accuracy of intelligent air conditioning equipment, meets the environmental comfort needs of different groups of people, provides users with an accurate and comfortable environment, and reduces the waste of power resources.

[0103] In an optional embodiment, if the user information corresponding to the current region includes the user's location and the user's status in the current region, the method may further include the following operations:

[0104] Based on the user information corresponding to the current area, determine the first environmental adjustment device that needs to participate in the adjustment of the environmental parameters of the current area from multiple environmental adjustment devices in the current area, and obtain the data of the first environmental adjustment device, including the location of the first environmental adjustment device;

[0105] Based on the location of the first environmental adjustment device, the current user status and the current user location, the information formed by the current user relative to the first environmental adjustment device is determined. The information formed by the current user relative to the first environmental adjustment device includes the distance value between the current user and the first environmental adjustment device and the information on the part of the current user facing the first environmental adjustment device.

[0106] Based on the information formed by the current user relative to the first environmental adjustment device, the decision weight of each content in the user information corresponding to the current area is adjusted, and the above-mentioned operation of analyzing each content in the user information corresponding to the current area and the decision weight of that content based on the determined comfort analysis model is performed to obtain the environmental adjustment parameters that match the current user.

[0107] In this optional embodiment, the part information of the user in the current area facing the first environment adjustment device includes part identification (e.g., face, head) and / or part area.

[0108] As can be seen, this optional embodiment can improve the accuracy of determining the required environmental adjustment equipment by combining the user's location and status in the current area. Furthermore, based on the location of the environmental adjustment equipment, the current user status, and the user's location, it can automatically determine the distance between the user and the environmental adjustment equipment, as well as the user's orientation towards the environmental adjustment equipment and the corresponding area. This allows for the adjustment of the weight of each user's information, improving the accuracy of weight adjustment and further enhancing the accuracy and reliability of the analysis of environmental adjustment parameters in the current area.

[0109] In another optional embodiment, the user information corresponding to the current region also includes the number of users in the current region; the method may further include the following operations:

[0110] If the user information corresponding to the current area includes the user distribution information and the number of users in the current area, and the number of users in the current area is greater than the preset number, the position of the device is adjusted according to the user distribution information of the current area and the first environment, and the area is divided for all users in the current area to obtain at least one air supply area, with the preset number being greater than or equal to 2.

[0111] This involves determining the decision weight of each piece of user information corresponding to the current region, analyzing each piece of user information corresponding to the current region and its decision weight based on the determined comfort analysis model, and obtaining environmental adjustment parameters that match the users in the current region, including:

[0112] The decision weight of each item in the user information of each air supply zone is analyzed. Based on the determined comfort analysis model, the decision weight of each item in the user information of each air supply zone is analyzed to obtain the environmental adjustment parameters that match the users of that air supply zone.

[0113] As can be seen, in this optional embodiment, when there are a large number of users in the area, the area is automatically divided according to the user distribution information, and then the user information of each area after division is weighted and analyzed, which can improve the accuracy and reliability of the analysis of the environmental adjustment parameters of each area after the area is divided.

[0114] In yet another optional embodiment, the data of the first environmental adjustment device further includes the operating performance of the first environmental adjustment device; the method may also include the following operations:

[0115] Based on the distance between the first environmental adjustment device and the current area user, the working performance of the first environmental adjustment device, and the environmental adjustment parameters of the current area, a control strategy for the first environmental adjustment device is generated.

[0116] The control strategy of the first environment adjustment device is transmitted to the first environment adjustment device to trigger the first environment adjustment device to perform the matching operation according to the control strategy of the first environment adjustment device.

[0117] In this optional embodiment, the operating performance of the first environmental adjustment device is used to represent the air supply speed and air supply per unit time of the first environmental adjustment device.

[0118] As can be seen, this optional embodiment can automatically generate a control strategy for the environmental adjustment equipment by taking the distance between the user and the area, the working performance of the environmental adjustment equipment, and the analyzed environmental adjustment parameters. This can improve the accuracy and reliability of the control strategy generation, and further improve the air supply accuracy of the environmental adjustment equipment.

[0119] In yet another alternative embodiment, the method may further include the following operations:

[0120] Collect data on the user's body surface in each air supply area. The data on the user's body surface in each air supply area includes one or more of the following: the user's sweating status, body temperature, clothing status, and facial expression status. The clothing status of the user in each air supply area includes one or more of the following: clothing material, body area covered by clothing, and clothing thickness.

[0121] Analyze the user status and body surface condition of each air supply zone to determine the urgency of environmental adjustment for that air supply zone.

[0122] Based on the working performance of the first environmental adjustment equipment, the location of the first environmental adjustment equipment, and the environmental adjustment parameters of each air supply area, determine whether the working performance of the first environmental adjustment equipment meets the environmental adjustment urgency of each air supply area.

[0123] When the result is negative, the target air supply area that does not meet the requirements is identified, and the second environmental adjustment equipment is determined based on the user distribution information of the target air supply area and the location of the first environmental adjustment equipment.

[0124] Based on the control strategy of the first environmental adjustment device for the target air supply area, the urgency of environmental adjustment in the target air supply area, and the surface condition of the users in the target air supply area, a control strategy for the second environmental adjustment device is generated, and the control strategy of the second environmental adjustment device is transmitted to the second environmental adjustment device to trigger the second environmental adjustment device to perform matching operations according to the control strategy of the second environmental adjustment device.

[0125] As can be seen, this optional embodiment analyzes the urgency of environmental adjustment in the user's area based on the user's status and various physical conditions. When it is determined that the functional performance of the selected environmental adjustment equipment does not meet the urgency of environmental adjustment in each area, it automatically allocates other environmental adjustment equipment to the area that does not meet the requirements. Furthermore, it generates the control strategy for the other environmental adjustment equipment based on the control strategy of the area, the urgency of environmental adjustment, and the user's physical condition. This can meet the environmental adjustment needs of all areas and provide users in all areas with comfortable and accurate airflow.

[0126] Example 2

[0127] Please see Figure 2 , Figure 2 This is a flowchart illustrating another data intelligent analysis method for adjusting the environment disclosed in an embodiment of the present invention. Figure 2The described method can be applied to an intelligent analysis terminal for adjusting the environment. This intelligent analysis terminal can be integrated into an intelligent air conditioning device or operate independently of it. When the intelligent analysis terminal is independent of the intelligent air conditioning device, a communication connection is established between the intelligent analysis terminal and the intelligent air conditioning device. The intelligent analysis terminal includes an intelligent analysis server and / or an intelligent analysis system. This embodiment of the invention does not impose limitations. Figure 2 As shown, the data intelligence analysis method for adjusting the environment may include the following operations:

[0128] 201. Acquire data collected by multiple data acquisition devices corresponding to the current area for adjusting the environmental parameters of the current area. All data acquisition devices include a first acquisition device for collecting user data of the current area and a second acquisition device for collecting airflow information for determining the location of users in the current area.

[0129] In this embodiment of the invention, the data collected by the second acquisition device includes one or more of the following: air data at the current user's location, the condition of items at the current user's location, and the operational status of devices at the current user's location. The condition of items at the current user's location includes the placement of items and / or the size parameters of items at the current user's location. The air data at the current user's location includes the air density and / or air temperature at the current user's location. By combining multiple pieces of information, including air data, item conditions, and device operational status, the airflow information at the user's location can be determined, thereby improving the accuracy and reliability of the airflow information determination and further enhancing the precision of the analysis of environmental adjustment parameters in the user's area.

[0130] 202. Analyze the data collected by each first acquisition device to obtain the user information corresponding to the current area.

[0131] In this embodiment of the invention, optionally, the user information corresponding to the current area includes one or more of the following: user location in the current area, user distribution information in the current area, user status in the current area, user gender in the current area, and user age range in the current area. Further, the user information corresponding to the current area also includes one or more of the following: user health status in the current area, user sleep schedule in the current area, user mental state in the current area, and historical data on the user's use of environmental adjustment devices in the current area.

[0132] 203. Analyze the data collected by each second acquisition device to obtain the airflow information of the current user's location.

[0133] It should be noted that there is no specific order for steps 202 and 203; they can occur simultaneously or separately. Prioritizing simultaneous occurrence saves time in collecting comprehensive data, thereby improving the efficiency of analyzing the required environmental adjustment parameters while ensuring accuracy. This, in turn, facilitates the rapid delivery of the required air supply information to the user's area.

[0134] In this embodiment of the invention, the airflow information at the current location of the user includes one or more of the following: airflow velocity, airflow temperature, and airflow direction. By considering multiple airflow parameters at the user's location when adjusting the environment, the comprehensiveness, accuracy, and reliability of the environmental adjustment parameters for the user's area can be improved.

[0135] 204. Update the airflow information of the current user's location to the corresponding user information in the current area.

[0136] 205. Determine the decision weight of each piece of content included in the user information corresponding to the current region.

[0137] 206. Based on the determined comfort analysis model, analyze each piece of information in the current area and the decision weight of that piece of information to obtain environmental adjustment parameters that match the users in the current area.

[0138] It should be noted that for other related descriptions of steps 201, 202, 205 and 206, please refer to the detailed description of steps 101-104 in Embodiment 1, which will not be repeated here.

[0139] It is evident that implementation Figure 2 The described intelligent data analysis method can collect data from the current area through multiple data acquisition devices, improving data comprehensiveness. Based on this comprehensive data analysis, it enhances the accuracy and reliability of analyzing user information such as location, distribution, and status within the current area. It automatically assigns corresponding weights to each user information and inputs them into a comfort analysis model for analysis. This improves the accuracy, reliability, and efficiency of analyzing environmental adjustment parameters in the current area, enhances the air delivery accuracy of intelligent air conditioning equipment, meets the environmental comfort needs of different groups of people, provides users with an accurate and comfortable environment, and reduces the waste of electricity resources. Furthermore, by considering airflow information in the user's area when analyzing environmental adjustment parameters, the comprehensiveness of the data is improved, further enhancing the accuracy and reliability of the environmental adjustment parameters analysis, thereby further improving the accuracy and reliability of air delivery in the user's area.

[0140] In an optional embodiment, all data acquisition devices further include a third acquisition device for acquiring natural attribute information of the current area, which includes one or more of the following: latitude and longitude information of the current area, altitude information of the current area, climate information of the current area, river information of the current area, and user living habit information of the current area.

[0141] The decision weight for determining the user information corresponding to the current region includes:

[0142] The decision weight is determined based on the user information of the current region, including each piece of content, and the natural attribute information of the current region, including each piece of content.

[0143] As can be seen, this optional embodiment can further combine local latitude and longitude information, altitude information, climate information, river information, and user living habit information with the air outlet speed of the smart air conditioning device to generate the device control parameters of the smart air conditioning device, which can further improve the accuracy of the generation of device control parameters of the smart air conditioning device, thereby providing a more suitable and comfortable environment for people in the current area.

[0144] Example 3

[0145] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an intelligent analysis terminal for adjusting the environment, as disclosed in an embodiment of the present invention. Figure 3 The described intelligent analysis terminal can be integrated into a smart air conditioning device or operate independently of it. When the intelligent analysis terminal is independent of the smart air conditioning device, a communication connection is established between the intelligent analysis terminal and the smart air conditioning device. The intelligent analysis terminal includes an intelligent analysis server and / or an intelligent analysis system. This embodiment of the invention does not impose limitations on this. Figure 3 As shown, the intelligent analysis terminal may include:

[0146] The acquisition module 301 is used to acquire data collected by multiple data acquisition devices corresponding to the current area for adjusting the environmental parameters of the current area. All data acquisition devices include a first acquisition device for collecting user data of the current area.

[0147] The analysis module 302 is used to analyze the data collected by each first acquisition device to obtain the user information corresponding to the current area.

[0148] In this embodiment of the invention, the user information corresponding to the current area includes one or more of the following: user location in the current area, user distribution information in the current area, user status in the current area, user gender in the current area, and user age range in the current area. Further, the user information corresponding to the current area also includes one or more of the following: user health status in the current area, user sleep schedule in the current area, user mental state in the current area, and historical data on the user's use of environmental adjustment devices in the current area. Furthermore, the user health status in the current area includes one or more of the following: user blood sugar, user blood pressure, user menstrual cycle, user disease status, and user body type in the current area; the user sleep schedule in the current area includes one or more of the following: user sleep duration, user sleep time period, and user sleep quality in the current area; the historical data on the user's use of environmental adjustment devices in the current area includes one or more of the following: historical usage time, historical wind direction, historical air volume, historical wind temperature, and historical wind speed; the user mental state in the current area includes the user stress index and / or the user's psychological state in the current area.

[0149] The determination module 303 is used to determine the decision weight of each piece of content included in the user information corresponding to the current region.

[0150] The analysis module 302 is also used to analyze each piece of content and the decision weight of the content in the user information corresponding to the current area based on the determined comfort analysis model, so as to obtain the environmental adjustment parameters that match the users in the current area.

[0151] In this embodiment of the invention, the environmental adjustment parameters include one or more of the following: wind speed adjustment parameters, wind direction adjustment parameters, temperature adjustment parameters, and air volume adjustment parameters for the current area.

[0152] It is evident that implementation Figure 3 The described intelligent analysis terminal for adjusting the environment collects data from the current area through multiple data acquisition devices, which improves the comprehensiveness of the data. Based on this comprehensive data analysis, it analyzes user information in the current area, improving the accuracy and reliability of the analysis of user location, distribution, status, and other information. It automatically assigns corresponding weights to each user information and inputs them into the comfort analysis model for analysis, which improves the accuracy, reliability, and efficiency of the analysis of environmental adjustment parameters in the current area. It also improves the air delivery accuracy of intelligent air conditioning equipment, meets the environmental comfort needs of different groups of people, provides users with an accurate and comfortable environment, and reduces the waste of power resources.

[0153] In an optional embodiment, if the user information corresponding to the current region includes the user's location and the user's status in the current region, and, as shown... Figure 4As shown, the determining module 303 is also used to determine, based on the user information corresponding to the current area, the first environmental adjustment device that needs to participate in the adjustment of the environmental parameters of the current area from among multiple environmental adjustment devices in the current area.

[0154] The acquisition module 301 is also used to acquire data from the first environmental adjustment device, the data of which includes the location of the first environmental adjustment device.

[0155] The determining module 303 is further configured to determine the information formed by the user in the current area relative to the first environment adjusting device based on the position of the first environment adjusting device, the user status in the current area, and the user position in the current area. The information formed by the user in the current area relative to the first environment adjusting device includes the distance value between the user in the current area and the first environment adjusting device, and the position information of the user in the current area facing the first environment adjusting device.

[0156] And, such as Figure 4 As shown, the intelligent analysis terminal also includes:

[0157] The adjustment module 304 is used to adjust the decision weight of each content in the user information corresponding to the current area based on the information formed by the user in the current area relative to the first environment adjustment device, and to trigger the analysis module 302 to perform the above-mentioned operation of analyzing each content in the user information corresponding to the current area and the decision weight of that content based on the determined comfort analysis model, so as to obtain the environment adjustment parameters that match the user in the current area.

[0158] It is evident that implementation Figure 4 The described intelligent analysis terminal for adjusting the environment automatically determines the environmental adjustment equipment involved in the adjustment by combining the user's location and status in the current area, thereby improving the accuracy of determining the required environmental adjustment equipment. Based on the location of the environmental adjustment equipment involved in the adjustment, the current user status in the area, and the user's location, it automatically determines the distance between the user and the environmental adjustment equipment, as well as the user's orientation towards the environmental adjustment equipment and the corresponding area. This allows for the adjustment of the weight of each user's information, improving the accuracy of weight adjustment and further enhancing the accuracy and reliability of the analysis of environmental adjustment parameters in the current area.

[0159] In another optional embodiment, all data acquisition devices further include a second acquisition device for acquiring airflow information to determine the location of the user in the current area. The data acquired by the second acquisition device includes one or more of the following: air data at the location of the user in the current area, the condition of items at the location of the user in the current area, and the working status of devices at the location of the user in the current area. The condition of items at the location of the user in the current area includes the placement of items at the location of the user in the current area and / or the size parameters of items at the location of the user in the current area. The air data at the location of the user in the current area includes the air density and / or air temperature at the location of the user in the current area.

[0160] The analysis module 302 is also used to analyze the data collected by each second acquisition device to obtain the airflow information of the current user's location. The airflow information of the current user's location includes one or more of the following: airflow velocity, airflow temperature, and airflow direction.

[0161] And, such as Figure 4 As shown, the intelligent analysis terminal also includes:

[0162] The update module 305 is used to update the airflow information of the current area user's location to the user information corresponding to the current area, and trigger the determination module 303 to perform the above-mentioned determination of the decision weight of each content included in the user information corresponding to the current area. The user information corresponding to the current area also includes the airflow information of the current area user's location.

[0163] It is evident that implementation Figure 4 The intelligent analysis terminal described for adjusting the environment can also improve the comprehensiveness of the data by taking into account the airflow information of the user's area when analyzing the environmental adjustment parameters of the user's area. This further improves the accuracy and reliability of the analysis of the environmental adjustment parameters of the user's area, thereby further improving the accuracy and reliability of the air supply in the user's area.

[0164] In another optional embodiment, all data acquisition devices further include a third acquisition device for acquiring natural attribute information of the current area, which includes one or more of the following: latitude and longitude information of the current area, altitude information of the current area, climate information of the current area, river information of the current area, and user living habit information of the current area.

[0165] Among them, such as Figure 4 As shown, the method by which the determining module 303 determines the decision weight of each piece of content included in the user information corresponding to the current region specifically includes:

[0166] The decision weight is determined based on the user information of the current region, including each piece of content, and the natural attribute information of the current region, including each piece of content.

[0167] It is evident that implementation Figure 4 The intelligent analysis terminal described for adjusting the environment can further combine local latitude and longitude information, altitude information, climate information, river information, and user living habit information with the air outlet speed of the intelligent air conditioning equipment to generate equipment control parameters for the intelligent air conditioning equipment. This can further improve the accuracy of generating equipment control parameters for the intelligent air conditioning equipment, thereby providing a more suitable and comfortable environment for people in the current area.

[0168] In yet another optional embodiment, the user information corresponding to the current region also includes the number of users in the current region; such as Figure 4 As shown, the intelligent analysis terminal also includes:

[0169] The partitioning module 306 is used to divide all users in the current area into regions if the user information corresponding to the current area includes the user distribution information and the number of users in the current area and the number of users in the current area is greater than a preset number. The module adjusts the position of the device according to the user distribution information and the first environment, and divides all users in the current area into regions to obtain at least one air supply area. The preset number is greater than or equal to 2.

[0170] Specifically, the method by which the determining module 303 determines the decision weight of each item in the user information corresponding to the current area includes: analyzing the decision weight of each item in the user information of each air supply area; the method by which the analysis module 302 analyzes each item in the user information corresponding to the current area and the decision weight of that item based on the determined comfort analysis model to obtain environmental adjustment parameters matching the users of the current area specifically includes: analyzing each item in the user information of each air supply area and the decision weight of that item based on the determined comfort analysis model to obtain environmental adjustment parameters matching the users of that air supply area.

[0171] It is evident that implementation Figure 4 The intelligent analysis terminal described for adjusting the environment automatically divides the region based on user distribution information when there are a large number of users in the region. Then, it performs weighted analysis on the user information of each region after division, which can improve the accuracy and reliability of the analysis of environmental adjustment parameters in each region after division.

[0172] In yet another optional embodiment, the data of the first environmental adjustment device also includes the operating performance of the first environmental adjustment device; such as Figure 4 As shown, this intelligent analysis terminal also includes:

[0173] The generation module 307 is used to generate a control strategy for the first environment adjustment device based on the distance between the first environment adjustment device and the current area user, the working performance of the first environment adjustment device, and the environmental adjustment parameters of the current area.

[0174] The transmission module 308 is used to transmit the control strategy of the first environment adjustment device to the first environment adjustment device, so as to trigger the first environment adjustment device to perform a matching operation according to the control strategy of the first environment adjustment device.

[0175] It is evident that implementation Figure 4 The intelligent analysis terminal described for adjusting the environment can also automatically generate control strategies for the environmental adjustment equipment by taking the distance between the user and the area, the working performance of the environmental adjustment equipment, and the analyzed environmental adjustment parameters. This can improve the accuracy and reliability of the control strategy generation, and further improve the air supply precision of the environmental adjustment equipment.

[0176] In yet another alternative embodiment, such as Figure 4 As shown, the intelligent analysis terminal also includes:

[0177] The data acquisition module 309 is used to collect the user's body surface condition in each air supply area. The user's body surface condition in each air supply area includes one or more of the following: the user's sweating status, the user's body temperature, the user's clothing status, and the user's facial expression status. The user's clothing status in each air supply area includes one or more of the following: the user's clothing material, the area of ​​the user's body covered by the clothing, and the clothing thickness.

[0178] Analysis module 302 is also used to analyze the user status and the user's body surface condition in each air supply area to obtain the urgency of environmental adjustment in the air supply area.

[0179] The judgment module 310 is used to determine whether the working performance of the first environmental adjustment device meets the environmental adjustment urgency of each air supply area based on the working performance of the first environmental adjustment device, the location of the first environmental adjustment device and the environmental adjustment parameters of each air supply area.

[0180] The determining module 303 is also used to determine the unsatisfied target air supply area when the judging module 309 determines the result is negative, and to determine the second environment adjustment device based on the user distribution information of the target air supply area and the position of the first environment adjustment device.

[0181] The generation module 307 is also used to generate a control strategy for the second environmental adjustment device based on the control strategy of the first environmental adjustment device for the target air supply area, the urgency of environmental adjustment in the target air supply area, and the surface condition of the user in the target air supply area.

[0182] The transmission module 308 is also used to transmit the control strategy of the second environment adjustment device to the second environment adjustment device, so as to trigger the second environment adjustment device to perform a matching operation according to the control strategy of the second environment adjustment device.

[0183] It is evident that implementation Figure 4 The intelligent analysis terminal described for adjusting the environment can also analyze the urgency of environmental adjustment in the user's area based on the user's status and various physical conditions. When it is determined that the functional performance of the selected environmental adjustment equipment does not meet the urgency of environmental adjustment in each area, it automatically allocates other environmental adjustment equipment to the area that does not meet the requirements. Furthermore, it generates control strategies for the other environmental adjustment equipment based on the control strategy of the area, the urgency of environmental adjustment, and the user's physical condition. This can meet the environmental adjustment needs of all areas and provide users in all areas with comfortable and accurate airflow.

[0184] Example 4

[0185] Please see Figure 5 , Figure 5 This is a schematic diagram of another intelligent analysis terminal for adjusting the environment disclosed in an embodiment of the present invention. Wherein, Figure 5 The described intelligent analysis terminal can be integrated into a smart air conditioning device or operate independently of it. When the intelligent analysis terminal is independent of the smart air conditioning device, a communication connection is established between the intelligent analysis terminal and the smart air conditioning device. The intelligent analysis terminal includes an intelligent analysis server and / or an intelligent analysis system. This embodiment of the invention does not impose limitations on this. Figure 5 As shown, the intelligent analysis terminal may include:

[0186] Memory 401 storing executable program code;

[0187] Processor 402 coupled to memory 401;

[0188] Furthermore, it may also include an input interface 403 and an output interface 404 coupled to the processor 402;

[0189] The processor 402 calls the executable program code stored in the memory 401 to execute some or all of the steps in the data intelligent analysis method for adjusting the environment disclosed in Embodiment 1 or Embodiment 2 of the present invention.

[0190] Example 5

[0191] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the data intelligent analysis method for adjusting the environment disclosed in Embodiment 1 or Embodiment 2 of this invention.

[0192] The intelligent analysis terminal embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0193] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0194] Finally, it should be noted that the data intelligent analysis method and intelligent analysis terminal for adjusting the environment disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data intelligent analysis method for adjusting the environment, characterized in that, The method is applied to an intelligent analysis terminal, and the method includes: The system acquires data collected by multiple data acquisition devices corresponding to the current area for adjusting the environmental parameters of the current area, wherein all the data acquisition devices include a first acquisition device for collecting user data of the current area; Analyze the data collected by each of the first acquisition devices to obtain user information corresponding to the current area. The user information corresponding to the current area includes one or more of the following: user location in the current area, user distribution information in the current area, user status in the current area, user gender in the current area, and user age range in the current area. The decision weight of each content included in the user information corresponding to the current area is determined. Based on the determined comfort analysis model, each content included in the user information corresponding to the current area and the decision weight of that content are analyzed to obtain environmental adjustment parameters that match the users in the current area. The environmental adjustment parameters include one or more of the following: wind speed adjustment parameters, wind direction adjustment parameters, temperature adjustment parameters, and air volume adjustment parameters of the current area. When the user information corresponding to the current region includes the user's location and the user's status in the current region, the method further includes: Based on the user information corresponding to the current area, from multiple environmental adjustment devices in the current area, determine the first environmental adjustment device that needs to participate in the adjustment of the environmental parameters of the current area, and obtain the data of the first environmental adjustment device, including the location of the first environmental adjustment device; Based on the location of the first environmental adjustment device, the user status of the current area, and the user location of the current area, information formed by the user of the current area relative to the first environmental adjustment device is determined. The information formed by the user of the current area relative to the first environmental adjustment device includes the distance value between the user of the current area and the first environmental adjustment device, and the part of the user of the current area facing the first environmental adjustment device. Based on the information formed by the current area user relative to the first environmental adjustment device, the decision weight of each content included in the user information corresponding to the current area is adjusted, and the operation of analyzing each content included in the user information corresponding to the current area and the decision weight of the content based on the determined comfort analysis model is performed to obtain environmental adjustment parameters matching the current area user. All of the data acquisition devices further include a second acquisition device for acquiring airflow information to determine the location of the user in the current area. The data acquired by the second acquisition device includes one or more of the following: air data at the location of the user in the current area, the condition of items at the location of the user in the current area, and the working status of devices at the location of the user in the current area. The condition of items at the location of the user in the current area includes the placement of items at the location of the user in the current area and / or the size parameters of items at the location of the user in the current area. The air data at the location of the user in the current area includes the air density and / or air temperature at the location of the user in the current area. The method further includes: Analyze the data collected by each of the second acquisition devices to obtain the airflow information of the current user's location. The airflow information of the current user's location includes one or more of the following: airflow velocity, airflow temperature, and airflow direction. The airflow information of the current user's location is updated to the user information corresponding to the current area, and the operation of determining the decision weight of each content included in the user information corresponding to the current area is performed. The user information corresponding to the current area also includes the airflow information of the current user's location.

2. The data intelligent analysis method for adjusting the environment according to claim 1, characterized in that, All of the aforementioned data acquisition devices also include a third acquisition device for acquiring natural attribute information of the current area, wherein the natural attribute information of the current area includes one or more of the following: latitude and longitude information of the current area, altitude information of the current area, climate information of the current area, river information of the current area, and user lifestyle information of the current area; The step of determining the decision weight of each piece of content in the user information corresponding to the current region includes: The decision weight is determined based on each piece of content in the user information corresponding to the current region and each piece of content in the natural attribute information of the current region.

3. The data intelligent analysis method for adjusting the environment according to claim 1, characterized in that, The user information corresponding to the current region also includes the number of users in the current region; The method further includes: When the user information corresponding to the current area includes the user distribution information and the number of users in the current area, and the number of users in the current area is greater than a preset number, the current area is divided into regions based on the user distribution information and the position of the first environmental adjustment device to obtain at least one air supply area, and the preset number is greater than or equal to 2. The process of determining the decision weight of each piece of content in the user information corresponding to the current region, analyzing each piece of content in the user information corresponding to the current region and its decision weight based on the determined comfort analysis model, and obtaining environmental adjustment parameters matching the users in the current region includes: The decision weight of each item in the user information of each air supply area is analyzed. Based on the determined comfort analysis model, the decision weight of each item in the user information of each air supply area is analyzed to obtain environmental adjustment parameters that match the users of that air supply area.

4. The data intelligent analysis method for adjusting the environment according to claim 3, characterized in that, The data from the first environmental adjustment device also includes the operating performance of the first environmental adjustment device; The method further includes: Based on the distance between the first environmental adjustment device and the user in the current area, the working performance of the first environmental adjustment device, and the environmental adjustment parameters of the current area, a control strategy for the first environmental adjustment device is generated. The control strategy of the first environmental adjustment device is transmitted to the first environmental adjustment device to trigger the first environmental adjustment device to perform a matching operation according to the control strategy of the first environmental adjustment device.

5. The data intelligent analysis method for adjusting the environment according to claim 4, characterized in that, The method further includes: Collect the user's body surface condition for each air supply area. The user's body surface condition for each air supply area includes one or more of the following: the user's sweating status, the user's body temperature, the user's clothing status, and the user's facial expression status. The user's clothing status for each air supply area includes one or more of the following: the user's clothing material, the area of ​​the user's body covered by the clothing, and the clothing thickness. Analyze the user status and body surface condition of each air supply zone to obtain the urgency of environmental adjustment for that air supply zone. Based on the working performance of the first environmental adjustment device, the location of the first environmental adjustment device, and the environmental adjustment parameters of each air supply area, it is determined whether the working performance of the first environmental adjustment device meets the environmental adjustment urgency of each air supply area. When the result is determined to be negative, the target air supply area that does not meet the requirements is identified, and the second environmental adjustment device is determined based on the user distribution information of the target air supply area and the location of the first environmental adjustment device. Based on the control strategy of the first environmental adjustment device for the target air supply area, the urgency of environmental adjustment in the target air supply area, and the surface condition of the user in the target air supply area, a control strategy for the second environmental adjustment device is generated, and the control strategy of the second environmental adjustment device is transmitted to the second environmental adjustment device to trigger the second environmental adjustment device to perform a matching operation according to the control strategy of the second environmental adjustment device.

6. The data intelligent analysis method for adjusting the environment according to any one of claims 1-3 and 5, characterized in that, The user information corresponding to the current area also includes one or more of the following: the user's health status in the current area, the user's daily routine in the current area, the user's mental state in the current area, and historical data of the user's use of environmental adjustment devices in the current area.

7. An intelligent analysis terminal, characterized in that, The intelligent analysis terminal is used to implement the intelligent data analysis method for adjusting the environment as described in any one of claims 1-6, and the intelligent analysis terminal includes: The acquisition module is used to acquire data collected by multiple data acquisition devices corresponding to the current area for adjusting the environmental parameters of the current area, and all the data acquisition devices include a first acquisition device for collecting user data of the current area; The analysis module is used to analyze the data collected by each of the first acquisition devices to obtain user information corresponding to the current area. The user information corresponding to the current area includes one or more of the following: the number of users in the current area, the user distribution information in the current area, the user status in the current area, the user gender in the current area, and the user age range in the current area. The determination module is used to determine the decision weight of each piece of content included in the user information corresponding to the current region; The analysis module is further configured to analyze each of the contents and the decision weight of the contents of the user information corresponding to the current area based on the determined comfort analysis model, and obtain environmental adjustment parameters that match the users in the current area. The environmental adjustment parameters include one or more of the following: wind speed adjustment parameters, wind direction adjustment parameters, temperature adjustment parameters, and air volume adjustment parameters of the current area.

8. An intelligent analysis terminal, characterized in that, The intelligent analysis terminal includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the data intelligent analysis method for adjusting the environment as described in any one of claims 1-6.

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