Method and device for evaluating thermal comfort of environment and computer readable storage medium

Abstract

The invention relates to the technical field of smart home, and discloses a method for evaluating environmental thermal comfort, comprising: acquiring an indoor infrared radiation image collected by an infrared sensing device; the indoor infrared radiation image is processed to obtain the current environment temperature of a room where the environment adjusting equipment is located; inputting the current environment temperature into the fitted thermal comfort model to obtain an output value of the fitted thermal comfort model; and according to the output value, determining thermal comfort information of a room where the environment adjusting equipment is located. According to the method, the indoor environment temperature can be accurately monitored in real time. Meanwhile, an output value used for judging the thermal comfort condition can be output in real time through the fitted thermal comfort model, the accuracy of indoor thermal comfort detection is guaranteed, more accurate indoor environment regulation and control suggestions can be conveniently provided for a user, and the use requirement of the user for environment regulation equipment is met. The invention also discloses a device for evaluating the thermal comfort of the environment and a computer readable storage medium.

Description

Technical Field

[0001] This application relates to the field of smart home technology, such as a method, apparatus, and computer-readable storage medium for assessing environmental thermal comfort. Background Technology

[0002] As people's living standards continue to improve, smart home appliances are gradually becoming a part of users' lives. Currently, with users' increasing demand for thermal comfort in their environment, environmental control equipment has become an indispensable smart home appliance for every family.

[0003] A method for detecting indoor comfort is disclosed in related technologies, which includes acquiring indoor temperature data collected by an indoor temperature sensor and determining the comfort level of the room where the environmental control equipment is located based on the indoor temperature data.

[0004] In the process of implementing the embodiments of this disclosure, at least the following problems were found in the related art:

[0005] While related technologies can acquire indoor temperature data using temperature sensors to determine comfort levels, existing temperature sensors may suffer from manufacturing defects, environmental interference, or sensor aging, leading to inaccurate measurement results and severely impacting the accuracy of indoor comfort testing.

[0006] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0007] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0008] This disclosure provides a method, apparatus, and computer-readable storage medium for assessing environmental thermal comfort, so as to accurately determine indoor thermal comfort conditions.

[0009] In some embodiments, the method for evaluating environmental thermal comfort includes: acquiring an indoor infrared radiation image collected by an infrared sensing device; processing the indoor infrared radiation image to obtain the current ambient temperature of the room where the environmental conditioning device is located; inputting the current ambient temperature into a fitted thermal comfort model to obtain the output value of the fitted thermal comfort model; and determining the thermal comfort information of the room where the environmental conditioning device is located based on the output value.

[0010] In some embodiments, the method for assessing environmental thermal comfort includes: preprocessing an indoor infrared radiation image to obtain preprocessed image data; determining remaining temperature data based on the preprocessed image data; and determining the current ambient temperature of the room where the environmental conditioning device is located based on the remaining temperature data.

[0011] In some embodiments, the method for evaluating environmental thermal comfort includes: inputting preprocessed image data into an inference model to obtain human body coordinates output by the inference model; deleting temperature data within the human body coordinates in the preprocessed image data to obtain the remaining temperature data.

[0012] In some embodiments, the method for assessing environmental thermal comfort includes: performing cluster analysis on the remaining temperature data to obtain temperature data for multiple clusters; determining the weight value of the temperature data for each cluster; and determining the current ambient temperature of the room where the environmental conditioning device is located based on the temperature data for multiple clusters and the weight value of the temperature data for each cluster.

[0013] In some embodiments, the method for assessing environmental thermal comfort includes: determining that the thermal comfort information of the room where the environmental conditioning device is located is cold when the output value is less than a first threshold; determining that the thermal comfort information of the room where the environmental conditioning device is located is cool when the output value is greater than or equal to the first threshold and less than a second threshold; determining that the thermal comfort information of the room where the environmental conditioning device is located is comfortable when the output value is greater than or equal to the second threshold and less than a third threshold; determining that the thermal comfort information of the room where the environmental conditioning device is located is warm when the output value is greater than or equal to the third threshold and less than a fourth threshold; and determining that the thermal comfort information of the room where the environmental conditioning device is located is hot when the output value is greater than the fourth threshold; wherein the first threshold is less than the second threshold, the second threshold is less than the third threshold, and the third threshold is less than the fourth threshold.

[0014] In some embodiments, the method for evaluating environmental thermal comfort includes: obtaining the ambient temperature of the room where the environmental conditioning device is located at the next moment; if the absolute value of the difference between the current ambient temperature and the ambient temperature at the next moment is greater than a fifth threshold, inputting the ambient temperature at the next moment into the fitted thermal comfort model to obtain the output value of the fitted thermal comfort model.

[0015] In some embodiments, the method for assessing environmental thermal comfort includes:

[0016] PMV = w × tb

[0017] Where PMV is the fitted thermal comfort model, w is the weighting coefficient, t is the current ambient temperature, and b is the bias term.

[0018] In some embodiments, the apparatus for evaluating environmental thermal comfort includes: an acquisition module configured to acquire an indoor infrared radiation image collected by an infrared sensing device; a first acquisition module configured to process the indoor infrared radiation image to obtain the current ambient temperature of the room where the environmental conditioning device is located; a second acquisition module configured to input the current ambient temperature into a fitted thermal comfort model to obtain the output value of the fitted thermal comfort model; and a determination module configured to determine thermal comfort information of the room where the environmental conditioning device is located based on the output value.

[0019] In some embodiments, the apparatus for assessing environmental thermal comfort includes a processor and a memory storing program instructions, the processor being configured to execute the aforementioned method for assessing environmental thermal comfort when the program instructions are executed.

[0020] In some embodiments, the computer-readable storage medium stores program instructions that, when executed, cause the computer to perform the aforementioned method for assessing environmental thermal comfort.

[0021] The method, apparatus, and computer-readable storage medium for evaluating environmental thermal comfort provided in this disclosure can achieve the following technical effects:

[0022] This solution processes acquired indoor infrared radiation images to monitor indoor ambient temperature in real time and with high accuracy. Simultaneously, it outputs real-time values ​​to assess thermal comfort using a fitted thermal comfort model, ensuring the accuracy of indoor thermal comfort detection and providing users with more precise suggestions for indoor environmental control, thus meeting their needs for environmental regulation equipment.

[0023] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0024] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein:

[0025] Figure 1 This is a schematic diagram of a method for evaluating environmental thermal comfort provided in an embodiment of this disclosure;

[0026] Figure 2 This is a schematic diagram of a method for determining ambient temperature provided in an embodiment of this disclosure;

[0027] Figure 3This is a schematic diagram of a method for obtaining remaining temperature data provided in an embodiment of this disclosure;

[0028] Figure 4 This is a schematic diagram of another method for determining ambient temperature provided in an embodiment of this disclosure;

[0029] Figure 5 This is a schematic diagram of an apparatus for evaluating environmental thermal comfort provided in an embodiment of this disclosure;

[0030] Figure 6 This is a schematic diagram of another device for evaluating environmental thermal comfort provided in an embodiment of this disclosure. Detailed Implementation

[0031] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0032] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0033] Unless otherwise stated, the term "multiple" means two or more.

[0034] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0035] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0036] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.

[0037] In this embodiment of the disclosure, smart home appliances refer to home appliances formed by introducing microprocessors, sensor technology and network communication technology into home appliances. They have the characteristics of intelligent control, intelligent sensing and intelligent application. The operation of smart home appliances often relies on the application and processing of modern technologies such as the Internet of Things, the Internet and electronic chips. For example, smart home appliances can be connected to electronic devices to enable users to remotely control and manage smart home appliances.

[0038] In this embodiment of the disclosure, the terminal device refers to an electronic device with wireless connectivity. The terminal device can communicate with the aforementioned smart home appliances by connecting to the internet, or directly via Bluetooth, Wi-Fi, or other methods. In some embodiments, the terminal device may be, for example, a mobile device, a computer, or an in-vehicle device built into a hovercraft, or any combination thereof. Mobile devices may include, for example, mobile phones, smart home devices, wearable devices, smart mobile devices, virtual reality devices, or any combination thereof. Wearable devices may include, for example, smartwatches, smart bracelets, pedometers, etc.

[0039] Figure 1 This is a schematic diagram of a method for evaluating environmental thermal comfort provided in an embodiment of this disclosure; combined with Figure 1 As shown in the embodiments of this disclosure, a method for evaluating environmental thermal comfort is provided, comprising:

[0040] S11, the environmental control equipment acquires indoor infrared radiation images collected by the infrared sensing equipment.

[0041] S12, the environmental control equipment processes the indoor infrared radiation image to obtain the current ambient temperature of the room where the environmental control equipment is located.

[0042] S13, the environmental control equipment inputs the current ambient temperature into the fitted thermal comfort model to obtain the output value of the fitted thermal comfort model.

[0043] S14, the environmental control equipment determines the thermal comfort information of the room where the environmental control equipment is located based on the output value.

[0044] In this solution, environmental control equipment refers to devices used to control and regulate indoor environmental conditions to ensure people feel comfortable in a specific space. For example, environmental control equipment can be wall-mounted air conditioners, floor-standing air conditioners, etc. Specifically, the environmental control equipment can be associated with infrared sensing devices. These infrared sensing devices can be infrared cameras or infrared thermopile sensors. In this way, the environmental control equipment can send acquisition commands to the infrared sensing devices to obtain indoor infrared radiation images collected by the infrared sensors. This solution enables accurate acquisition of indoor infrared radiation images, ensuring user privacy while providing timely information on the indoor temperature distribution.

[0045] Furthermore, the environmental control device can process indoor infrared radiation images to obtain the current ambient temperature of the room where the device is located. In one example, the device can preprocess the acquired infrared radiation image. Based on the preprocessed calibration data, the radiation intensity of each pixel in the image is converted into a corresponding temperature value to determine the indoor temperature distribution. Then, based on the generated indoor temperature distribution map, the average indoor temperature is calculated as the current ambient temperature of the room where the device is located. In another example, the environmental control device processes the indoor infrared radiation image to obtain the current ambient temperature, including: preprocessing the image to obtain preprocessed image data; determining the remaining temperature data based on the preprocessed image data; and finally, determining the current ambient temperature of the room where the device is located. This approach allows for the processing and analysis of infrared radiation images in multiple ways, ensuring the accuracy of ambient temperature acquisition.

[0046] Furthermore, the environmental control equipment can input the current ambient temperature into the fitted thermal comfort model to obtain the output value of the fitted thermal comfort model. Here, the fitted thermal comfort model includes: PMV = w × tb; where PMV is the fitted thermal comfort model, w is the weighting coefficient, t is the current ambient temperature, and b is the bias term. This approach can accurately obtain the output value of the thermal comfort model.

[0047] Understandably, the output value of a thermal comfort model can characterize the comfort level of an environment. Thus, environmental control devices can combine the output value to determine the thermal comfort information of the room where the device is located. Specifically, the environmental control device determines the thermal comfort information of the room based on the output value, including: if the output value is less than a first threshold, the thermal comfort information of the room is determined to be cold; if the output value is greater than or equal to the first threshold and less than a second threshold, the thermal comfort information of the room is determined to be cool; if the output value is greater than or equal to the second threshold and less than a third threshold, the thermal comfort information of the room is determined to be comfortable; if the output value is greater than or equal to the third threshold and less than a fourth threshold, the thermal comfort information of the room is determined to be warm; and if the output value is greater than the fourth threshold, the thermal comfort information of the room is determined to be hot. Wherein, the first threshold is less than the second threshold, the second threshold is less than the third threshold, and the third threshold is less than the fourth threshold.

[0048] The method for assessing environmental thermal comfort provided in this disclosure can monitor indoor ambient temperature in real time and with high accuracy. Simultaneously, by using a fitted thermal comfort model, it can output values ​​in real time to determine thermal comfort conditions, ensuring the accuracy of indoor thermal comfort detection and facilitating more precise indoor environmental control recommendations for users, thus meeting their needs for environmental regulation equipment.

[0049] Figure 2 This is a schematic diagram of a method for determining ambient temperature provided in an embodiment of this disclosure; combined with Figure 2 As shown, optionally, in step S12, the environmental control device processes the indoor infrared radiation image to obtain the current ambient temperature of the room where the environmental control device is located, including:

[0050] S21, the environmental control equipment preprocesses the indoor infrared radiation image to obtain preprocessed image data.

[0051] S22, the environmental control equipment determines the remaining temperature data based on the preprocessed image data.

[0052] S23, the environmental control equipment determines the current ambient temperature of the room where the environmental control equipment is located based on the remaining temperature data.

[0053] In this scheme, the environmental control equipment can preprocess indoor infrared radiation images. This effectively improves image quality and ensures the accuracy of temperature determination. The preprocessing includes: first, median filtering, which effectively removes noise from the image by replacing each pixel with the median of its neighborhood, while preserving edge information. Second, bilateral filtering can be used to further smooth the image. This takes into account the similarity and spatial distance between pixels, removing noise while maintaining image clarity. After filtering, cubic spline interpolation can be used to enlarge the image size to obtain a higher resolution image, facilitating a more detailed analysis of indoor temperature distribution. Furthermore, data dimensionality transformation can be performed to convert the image data from the spatial domain to the frequency domain or other forms, aiding in subsequent temperature mapping and analysis. This scheme effectively preprocesses indoor infrared radiation images to obtain preprocessed image data.

[0054] Understandably, considering that human body temperature data may mask actual environmental temperature changes and mislead indoor temperature assessments, environmental control equipment can determine the remaining temperature data based on preprocessed image data. Specifically, this involves the environmental control equipment inputting the preprocessed image data into an inference model to obtain the human body coordinates output by the model. Then, the environmental control equipment removes temperature data within the human body coordinates from the preprocessed image data to obtain the remaining temperature data. This approach effectively filters out temperature data that accurately represents the true indoor environment by removing temperature data within the human body coordinates, providing a precise data foundation for determining the current indoor ambient temperature where the environmental control equipment is located.

[0055] Furthermore, the environmental control equipment can combine the remaining temperature data to determine the current ambient temperature of the room where the equipment is located. In one example, the average of the remaining temperature data can be used as the current ambient temperature of the room where the equipment is located. In another example, a clustering algorithm can be used to determine the current ambient temperature of the room where the equipment is located. This approach allows for the accurate determination of the remaining temperature data in multiple ways.

[0056] Figure 3 This is a schematic diagram of a method for obtaining residual temperature data provided in an embodiment of this disclosure; combined with Figure 3 As shown, optionally, in step S22, the environmental control device determines the remaining temperature data based on the preprocessed image data, including:

[0057] S31, the environmental control device inputs the preprocessed image data into the inference model to obtain the human body coordinates output by the inference model.

[0058] S32, the environmental control equipment deletes the temperature data within the human body coordinates from the preprocessed image data to obtain the remaining temperature data.

[0059] In this scheme, the inference model can be a YOLO (You Only Look Once, object detection) model. The environmental control device can then input preprocessed image data into the inference model to obtain the human body coordinates output by the model. This scheme enables precise determination of human body coordinates.

[0060] Furthermore, the environmental control equipment can remove temperature data within the human body coordinates from the preprocessed image data to obtain the remaining temperature data. This method effectively filters out temperature data that accurately represents the true indoor environment by removing temperature data within the human body coordinates, providing a precise data foundation for determining the current ambient temperature inside the room where the environmental control equipment is located.

[0061] Optionally, the inference model can also directly output the number of people in the room where the environmental control equipment is located. In an optimized scheme, the environmental control equipment deletes temperature data within the human body coordinates from the preprocessed image data to obtain the remaining temperature data. This includes: when the number of people in the room output by the inference model is not zero, the environmental control equipment deletes temperature data within the human body coordinates from the preprocessed image data to obtain the remaining temperature data. This scheme can accurately determine the timing of deleting temperature data within the human body coordinates, effectively saving system processing resources.

[0062] Figure 4 This is a schematic diagram of another method for determining ambient temperature provided in this disclosure embodiment; combined with Figure 4 As shown, optionally, in step S23, the environmental control device determines the current ambient temperature of the room where the environmental control device is located based on the remaining temperature data, including:

[0063] S41, the environmental control equipment performs cluster analysis on the remaining temperature data to obtain temperature data for multiple clusters.

[0064] S42, the environmental control equipment determines the weight value of the temperature data for each cluster.

[0065] S43, the environmental control equipment determines the current ambient temperature of the room where the environmental control equipment is located based on the temperature data of multiple clusters and the weight value of the temperature data of each cluster.

[0066] In this scheme, the environmental control equipment can perform cluster analysis on the remaining temperature data to obtain temperature data from multiple clusters. Here, the K-means (K-clustering) algorithm can be used for cluster analysis. Understandably, the K-clustering algorithm is an iterative algorithm that requires pre-specifying or estimating the number of clusters K and randomly selecting K data points as initial cluster centers. The goal of this algorithm is to divide the data points into K clusters, such that the center of each cluster is the mean of its internal data points, and each data point belongs to its nearest neighbor cluster. Thus, by using the K-clustering algorithm to cluster the temperature data, the temperature values ​​within each cluster are as close as possible, while the temperature values ​​between different clusters differ significantly, allowing for the filtering out of extreme temperature data values.

[0067] Furthermore, the environmental control equipment can determine the weight value of the temperature data for each cluster. This weight value can be determined by the number of data points in the cluster or the importance of the temperature data within that cluster. For example, the more extreme the temperature data, the smaller the weight assigned to that temperature data.

[0068] In one example, if clustering 1024 pixels yields 30 clusters of temperature data, and the cluster with a temperature range of 27°C to 29°C contains 100 pixels, then the weight assigned to this cluster is determined to be 100 / 1024. This allows weight values ​​to be determined based on the number of data points in the cluster.

[0069] In another example, the weight of the temperature data for each cluster can be determined based on the fitted temperature values ​​for the region. For instance, if the fitted average temperature for a certain day is 30°C, the cluster corresponding to the temperature range of 29°C to 31°C would have a weight of 0.5, and the weight would decrease along both sides of this range to determine the weight of the temperature data for each cluster.

[0070] Furthermore, the environmental control equipment can combine temperature data from multiple clusters and the weight value of each cluster's temperature data to determine the current ambient temperature inside the room where the environmental control equipment is located. Specifically, the product of the temperature data of each cluster and the weight value of that cluster can be determined separately, and the sum of all the product results can be used to determine the current ambient temperature inside the room where the environmental control equipment is located. This method can accurately determine the current ambient temperature inside the room where the environmental control equipment is located.

[0071] Optionally, S14, the environmental control device determines the thermal comfort information of the room where the environmental control device is located based on the output value, including:

[0072] If the output value is less than the first threshold, the environmental control device determines that the thermal comfort information of the room where the environmental control device is located is cold.

[0073] If the output value is greater than or equal to the first threshold and less than the second threshold, the environmental control device determines that the thermal comfort information of the room where the environmental control device is located is cool.

[0074] If the output value is greater than or equal to the second threshold and less than the third threshold, the environmental control device determines the thermal comfort information of the room where the environmental control device is located to be comfortable.

[0075] If the output value is greater than or equal to the third threshold and less than the fourth threshold, the environmental control device determines that the thermal comfort information of the room where the environmental control device is located is warm.

[0076] If the output value is greater than the fourth threshold, the environmental control device determines that the thermal comfort information of the room where the environmental control device is located is hot.

[0077] Among them, the first threshold is less than the second threshold, the second threshold is less than the third threshold, and the third threshold is less than the fourth threshold.

[0078] In this scheme, the first, second, third, and fourth thresholds can be preset. As an example, the first threshold is -1.5, the second threshold is -0.5, the third threshold is 0.5, and the fourth threshold is 1.5. Thus, when the output value is less than -1.5, the environmental control device determines the thermal comfort information of the room where the device is located to be cold. Here, "cold" can also be used to represent the thermal comfort information of the room where the device is located. When the output value is greater than or equal to -1.5 and less than -0.5, the environmental control device determines the thermal comfort information of the room where the device is located to be cool. Here, "cool" can also be used to represent the thermal comfort information of the room where the device is located. When the output value is greater than or equal to -0.5 and less than 0.5, the environmental control device determines the thermal comfort information of the room where the device is located to be comfortable. Here, "comfortable" can also be used to represent the thermal comfort information of the room where the device is located. When the output value is greater than or equal to 0.5 and less than 1.5, the environmental control device determines the thermal comfort information of the room where the device is located to be warm. Here, "warm" can also be used to represent the thermal comfort information of the room where the environmental control equipment is located. When the output value is greater than 1.5, the environmental control equipment determines the thermal comfort information of the room to be hot. Alternatively, "hot" can also be used to represent the thermal comfort information of the room where the environmental control equipment is located. This scheme, combined with the output value, can accurately determine the thermal comfort information of the room where the environmental control equipment is located, and more intuitively describe the comfort level of the indoor environment through five levels, providing a precise data foundation for the control of the environmental control equipment.

[0079] Optionally, in step S13, the environmental control device inputs the current ambient temperature into the fitted thermal comfort model to obtain the output value of the fitted thermal comfort model, including:

[0080] The environmental control equipment obtains the ambient temperature of the room where the environmental control equipment is located at the next moment.

[0081] If the absolute value of the difference between the current ambient temperature and the ambient temperature at the next moment is greater than the fifth threshold, the environmental control device will input the ambient temperature at the next moment into the fitted thermal comfort model to obtain the output value of the fitted thermal comfort model.

[0082] In this scheme, the ambient temperature of the room where the environmental control equipment is located at the next moment can also be obtained. Here, the method for obtaining the ambient temperature at the next moment is the same as the method for obtaining the current ambient temperature. Furthermore, if the absolute value of the difference between the current ambient temperature and the ambient temperature at the next moment is greater than a fifth threshold, the environmental control equipment inputs the ambient temperature at the next moment into the fitted thermal comfort model to obtain the output value of the fitted thermal comfort model. The fifth threshold is 0.1℃. This scheme can effectively avoid frequent changes in thermal comfort indicators caused by small-scale temperature fluctuations. Furthermore, by limiting the update frequency of the indoor temperature, the processing resources of the environmental control equipment are effectively saved.

[0083] Optionally, the fitted thermal comfort model includes:

[0084] PMV = w × tb

[0085] Where PMV is the fitted thermal comfort model, w is the weighting coefficient, t is the current ambient temperature, and b is the bias term.

[0086] In this solution, a self-developed simplified PMV (Predicted Mean Vote) equation is used to transform the originally complex thermal comfort assessment process into a simple linear equation: PMV = w × tb. Here, w is the weighting coefficient, and b is the bias term. In this embodiment, the researchers determined the specific values ​​of the weighting coefficient and the bias term through extensive calculations and experiments. Specifically, the weighting coefficient w = 0.25, and the bias term b = 5.25. Therefore, PMV = 0.25t - 5.25. This solution simplifies and fits the equation, enabling rapid prediction of thermal comfort at a lower computational cost while maintaining considerable accuracy. This significantly reduces the computational complexity of the model, improves operational efficiency, and allows environmental control equipment to respond and adjust indoor temperatures more quickly to meet people's comfort needs.

[0087] Figure 5This is a schematic diagram of a device for evaluating environmental thermal comfort provided in an embodiment of this disclosure; combined with Figure 5 As shown, this disclosure provides an apparatus 200 for evaluating environmental thermal comfort, including an acquisition module 51, a first acquisition module 52, a second acquisition module 53, and a determination module 54. The acquisition module 51 is configured to acquire an indoor infrared radiation image collected by an infrared sensing device; the first acquisition module 52 is configured to process the indoor infrared radiation image to obtain the current ambient temperature of the room where the environmental control device is located; the second acquisition module 53 is configured to input the current ambient temperature into a fitted thermal comfort model to obtain the output value of the fitted thermal comfort model; and the determination module 54 is configured to determine the thermal comfort information of the room where the environmental control device is located based on the output value.

[0088] The device 200 for assessing environmental thermal comfort provided in this embodiment can monitor indoor ambient temperature in real time and accurately. Simultaneously, it can output values ​​for judging thermal comfort conditions in real time through a fitted thermal comfort model, ensuring the accuracy of indoor thermal comfort detection and facilitating the provision of more precise indoor environmental control suggestions to users, thus meeting their needs for environmental control equipment.

[0089] Figure 6 This is a schematic diagram of another device for evaluating environmental thermal comfort provided in this disclosure embodiment; combined with Figure 6 As shown, this disclosure provides an apparatus 300 for evaluating environmental thermal comfort, including a processor 301 and a memory 302. Optionally, the apparatus 300 may further include a communication interface 303 and a bus 304. The processor 301, communication interface 303, and memory 302 can communicate with each other via the bus 304. The communication interface 303 can be used for information transmission. The processor 301 can call logical instructions in the memory 302 to execute the method for evaluating environmental thermal comfort described in the above embodiment.

[0090] Furthermore, the logic instructions in the aforementioned memory 302 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0091] The memory 302, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 301 executes functional applications and data processing by running the program instructions / modules stored in the memory 302, that is, it implements the method for evaluating environmental thermal comfort in the above embodiments.

[0092] The memory 302 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 302 may include high-speed random access memory and may also include non-volatile memory.

[0093] This disclosure provides a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for assessing environmental thermal comfort.

[0094] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, such as a USB flash drive, external hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, etc., and other media capable of storing program code.

[0095] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0096] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0097] The methods and products (including but not limited to devices and equipment) disclosed in the embodiments herein can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed units may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. Furthermore, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0098] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A method for assessing environmental thermal comfort, characterized in that, include: Acquire indoor infrared radiation images collected by infrared sensing devices; The indoor infrared radiation image is processed to obtain the current ambient temperature of the room where the environmental control equipment is located; Input the current ambient temperature into the fitted thermal comfort model to obtain the output value of the fitted thermal comfort model; Based on the output values, determine the thermal comfort information of the room where the environmental control equipment is located.

2. The method according to claim 1, characterized in that, The indoor infrared radiation image is processed to obtain the current ambient temperature of the room where the environmental control equipment is located, including: Indoor infrared radiation images are preprocessed to obtain preprocessed image data; Based on the preprocessed image data, determine the remaining temperature data; Based on the remaining temperature data, determine the current ambient temperature of the room where the environmental control equipment is located.

3. The method according to claim 2, characterized in that, Based on the preprocessed image data, the remaining temperature data is determined, including: The preprocessed image data is input into the inference model to obtain the human body coordinates output by the inference model; Temperature data within the human body coordinates is removed from the preprocessed image data to obtain the remaining temperature data.

4. The method according to claim 2, characterized in that, Based on the remaining temperature data, determine the current ambient temperature of the room where the environmental control equipment is located, including: The remaining temperature data is then subjected to cluster analysis to obtain temperature data for multiple clusters; Determine the weight value of the temperature data for each cluster; The current ambient temperature of the room where the environmental control equipment is located is determined based on the temperature data of multiple clusters and the weight value of the temperature data of each cluster.

5. The method according to claim 1, characterized in that, Based on the output values, determine the thermal comfort information of the room where the environmental control equipment is located, including: If the output value is less than the first threshold, the thermal comfort information of the room where the environmental control equipment is located is determined to be cold; If the output value is greater than or equal to the first threshold and less than the second threshold, the thermal comfort information of the room where the environmental control equipment is located is determined to be cool. If the output value is greater than or equal to the second threshold and less than the third threshold, the thermal comfort information of the room where the environmental control equipment is located is determined to be comfortable. If the output value is greater than or equal to the third threshold and less than the fourth threshold, the thermal comfort information of the room where the environmental control equipment is located is determined to be warm; If the output value is greater than the fourth threshold, the thermal comfort information of the room where the environmental control equipment is located is determined to be hot. Among them, the first threshold is less than the second threshold, the second threshold is less than the third threshold, and the third threshold is less than the fourth threshold.

6. The method according to claim 1, characterized in that, Input the current ambient temperature into the fitted thermal comfort model to obtain the output values ​​of the fitted thermal comfort model, including: Obtain the ambient temperature of the room where the environmental control equipment is located at the next moment; If the absolute value of the difference between the current ambient temperature and the ambient temperature at the next moment is greater than the fifth threshold, the ambient temperature at the next moment is input into the fitted thermal comfort model to obtain the output value of the fitted thermal comfort model.

7. The method according to claim 1, characterized in that, The fitted thermal comfort model includes: PMV = w × tb Where PMV is the fitted thermal comfort model, w is the weighting coefficient, t is the current ambient temperature, and b is the bias term.

8. A device for assessing environmental thermal comfort, characterized in that, include: The acquisition module is configured to acquire indoor infrared radiation images collected by infrared sensing devices; The first acquisition module is configured to process indoor infrared radiation images to obtain the current ambient temperature of the room where the environmental conditioning equipment is located. The second acquisition module is configured to input the current ambient temperature into the fitted thermal comfort model in order to obtain the output value of the fitted thermal comfort model. The determination module is configured to determine the thermal comfort information of the room where the environmental conditioning equipment is located based on the output value.

9. An apparatus for assessing environmental thermal comfort, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to, when running the program instructions, execute the method for assessing environmental thermal comfort as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing program instructions, characterized in that, When the program instructions are executed, they cause the computer to perform the method for assessing environmental thermal comfort as described in any one of claims 1 to 7.

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