CN115013949A - Indoor temperature control system and method based on image recognition - Google Patents
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Abstract
The invention provides an indoor temperature control system and method based on image recognition, which comprises a control terminal, a detection terminal and a temperature regulation terminal, wherein the control terminal comprises an image acquisition module, an object recognition module, a building recognition module, a scheme matching module and a control transmission module; the image acquisition module is used for receiving and storing the indoor image from the image recording module, the object identification module is used for identifying an indoor object according to the indoor image, the building identification module is used for identifying a building type according to the indoor image, and the scheme matching module is used for matching a corresponding control scheme in a preset control scheme database according to the indoor object and the building type. The system has high adaptability, fast response and accurate control scheme matching, protects human and building objects and starts an emergency treatment scheme, and has good constant temperature effect.
Description
Technical Field
The invention relates to the technical field of indoor temperature control, in particular to an indoor temperature control system and method based on image recognition.
Background
The indoor temperature control technology is used for automatically controlling the temperature in a building through an indoor temperature control system. Image recognition, which refers to a technique for processing, analyzing and understanding images by a computer to recognize various different patterns of objects and objects, is a practical application of applying a deep learning algorithm. Therefore, the indoor temperature control system based on image recognition has more control factors, and the system function is more comprehensive and more accurate.
A number of indoor temperature control systems have now been developed and after a number of searches and references, it has been found that prior art systems such as those disclosed in publications CN110377075A, CN106774493A, CN106642561A, CN104697110A and CN111913392A generally include: the indoor detection subsystem comprises a human body induction module, a wind speed sensing module, an inner temperature module and an air exchange module, the outdoor detection subsystem comprises a wind speed detection module and an outer temperature module, and the central control subsystem comprises a control module and a comparison module. However, the systems have low adaptability and practicability, are not favorable for adapting to more indoor scenes, are not favorable for quick response and matching accurate control schemes, lack protection and emergency treatment schemes for human beings and building objects, have poor constant temperature effect and uneven indoor local temperature.
Disclosure of Invention
The invention aims to provide an indoor temperature control system and method based on image recognition, aiming at the defects of the indoor temperature control system.
The invention adopts the following technical scheme:
an indoor temperature control system based on image recognition comprises a control terminal, a detection terminal and a temperature regulation terminal, wherein the detection terminal and the temperature regulation terminal are electrically connected with the control terminal; the system comprises an image recording module, an image acquisition module, an object identification module, a building identification module, a scheme matching module and a control transmission module, wherein the image recording module is used for shooting indoor images in real time and transmitting the images to the image acquisition module, the temperature detection module is used for detecting the room temperature in real time, the image acquisition module is used for receiving and storing the indoor images from the image recording module, the object identification module is used for identifying indoor objects according to the indoor images, the building identification module is used for identifying building types according to the indoor images, the scheme matching module is used for matching corresponding control schemes in a preset control scheme database according to the indoor objects and the building types, and the control transmission module is used for transmitting the control schemes to an air conditioner module and a floor heating module;
the temperature detection module comprises a plurality of acquisition sub-modules and analysis sub-modules, the acquisition sub-modules are uniformly distributed indoors and used for acquiring the temperature of each position in the room, and the analysis sub-modules are used for judging whether the constant temperature state of the indoor temperature reaches the standard or not; when the acquisition submodule operates, generating a data matrix C from acquired data according to a preset period T;
wherein n is the number of the acquisition sub-modules, m is the number of the detection points in the acquisition sub-modules, a ij Data representing a jth detection point of an ith acquisition submodule;
when a user requires that the indoor temperature reaches a constant value, the analysis submodule compares each data in two data matrixes C adjacent in period within a preset time T, wherein T is more than 2T, and an indoor temperature difference index is obtained and output; the temperature difference index is calculated according to the following formula:
wherein n is the number of the acquisition submodules, m is the number of the detection points in the acquisition submodules, and a ij Data, a ', representing the jth detection point of the ith acquisition submodule' ij Representing the data of the jth detection point of the ith acquisition submodule of the data matrix C of the next adjacent period; w (a) ij ) Representing a filter function for eliminating the abnormal data;
wherein,
k 1 denotes a preset lower limit coefficient, k 2 Representing a preset upper limit coefficient;
the larger the temperature difference index is, the larger the unevenness of the indoor temperature is; the smaller the temperature difference index is, the smaller the unevenness of the indoor temperature is, namely, the higher the uniformity of the indoor temperature is;
the temperature difference index is used for prompting the indoor temperature uniformity condition of a user and outputting the indoor temperature uniformity condition to the temperature adjusting terminal, so that the temperature adjusting terminal runs the corresponding air conditioner module or floor heating module to perform indoor constant temperature operation.
Optionally, the building types include a first-class building and a second-class building, the scheme matching module includes a building type determining sub-module, a first-class building matching sub-module, and a second-class building matching sub-module, the building type determining sub-module is configured to determine whether the building type is a second-class building, the first-class building matching sub-module is configured to select a corresponding control scheme from a first-class building control scheme comparison table of the control scheme database according to an indoor object when the building type is the first-class building, and the second-class building matching sub-module is configured to select a corresponding control scheme from a second-class building control scheme comparison table of the control scheme database according to the indoor object when the building type is the second-class building.
Optionally, the second type of building includes a laboratory, the second type of building matching sub-module includes a reading unit, a determining unit, a first executing unit and a second executing unit, the reading unit is configured to read an indoor object, the determining unit is configured to determine whether an experimental plant or an experimental culture dish exists in the indoor object, the first executing unit is configured to identify a variety of the experimental plant or a variety of the experimental culture dish according to an indoor image when the experimental plant or the experimental culture dish exists in the indoor object, match a corresponding control scheme in a special column of the second type of building control scheme comparison table according to the variety of the experimental plant or the variety of the experimental culture dish, and the second executing unit is configured to obtain a constant temperature parameter input by an internet or a laboratory administrator when the experimental plant and the experimental culture dish do not exist in the indoor object, and matching the corresponding control scheme in the second type of building control scheme comparison table according to the constant temperature parameter.
Optionally, the building of the same type includes a residence, a classroom and a shopping mall, the building matching submodule of the same type includes a reading unit, a determining unit, a first executing unit, a second executing unit and a third executing unit, the reading unit is used for reading an object in a room, the judging unit is used for judging whether a human being exists in the object in the room, the first execution unit is used for identifying the age and the posture of a human when the human exists, the second execution unit is used for judging whether the human is a special crowd or not according to the age and the posture, if the human is the special crowd, matching the corresponding control scheme in the special column of the building control scheme comparison table, the third execution unit is used for acquiring the room temperature and constant temperature requirement input by the internet or a user when no special crowd exists or no human exists, and matching corresponding control schemes in the building control scheme comparison table according to the room temperature and constant temperature requirements.
Optionally, the building identification module includes an article identification sub-module and a type matching sub-module, the article identification sub-module is configured to perform indoor article identification on an indoor image and generate indoor article information, and the type matching sub-module is configured to match a corresponding building type in a preset building category database based on the indoor article information.
An image recognition-based indoor temperature control method is applied to an image recognition-based indoor temperature control system, and the control method comprises the following steps:
s1: shooting an indoor image in real time through a detection terminal, transmitting the image to a control terminal, and detecting the room temperature in real time;
s2: the control terminal receives and stores the indoor image, identifies an indoor object according to the indoor image, identifies a building type according to the indoor image, matches a corresponding control scheme in a preset control scheme database according to the indoor object and the building type, and transmits the control scheme to the temperature adjusting terminal;
s3: when the constant temperature is required, whether the constant temperature state of the indoor temperature reaches the standard or not is judged, the temperature difference index is calculated, the indoor temperature uniformity condition of the user is prompted, and the indoor temperature uniformity condition is output to the temperature adjusting terminal, so that the temperature adjusting terminal can operate the corresponding air conditioning module or floor heating module to perform constant temperature operation indoors.
The beneficial effects obtained by the invention are as follows:
1. the system can adapt to more indoor scenes, can control the temperature of various buildings, including automatic control and manual control, and has strong adaptability, strong and stable functions;
2. by shooting and analyzing indoor images in real time and monitoring indoor temperature in real time, the control terminal can quickly respond and match an accurate control scheme, can intelligently analyze according to the building type and objects in the building, further correspondingly matches the most suitable control scheme from a preset database according to the indoor objects if the analysis result is a second-class building, namely a building scene sensitive to temperature, and finally controls the temperature adjusting terminal based on the control scheme;
3. in the basic function of detecting the indoor temperature, the system accurately obtains the temperature difference index through the uniformly arranged acquisition sub-modules and analysis sub-modules, the calculation of the temperature difference index is based on the data matrix C, and the data source and storage form of the data matrix C are based on the uniformly arranged acquisition sub-modules, so that the calculation process is clear, rapid and accurate, the temperature difference index can be calculated more stably, the indoor temperature uniformity condition of a user can be prompted, and the temperature adjustment of the temperature adjustment terminal can be facilitated according to the temperature difference index;
4. for some specific scenes, such as laboratories, residences, classrooms and markets, the system has applicable functions, so that the practicability of the system is improved; for a laboratory, the system is provided with the function of identifying experimental plants and experimental culture dishes, so that the working efficiency of the laboratory is improved, and laboratory accidents are reduced; for houses, classrooms and markets, the system is mainly controlled according to the types of human beings so as to protect special people and facilitate indoor constant temperature;
5. through the dynamic tracking module, the action behaviors of the indoor human are monitored in real time, and the corresponding disease symptom behaviors are recognized, so that the rapid emergency control is realized, and the body health of the indoor human is further protected.
6. Because the human beings in the building often move, the number and the types of the human beings are changed, the system realizes the reselection of the control scheme after the human types are changed through the reselection scheme module, and the real-time performance and the accuracy of the system on the indoor temperature control are favorably improved;
7. when the temperature regulating terminal of the system is combined with the temperature difference index to control the room temperature, the identification of the interval to be regulated is the difference condition OUT (r) of the detection point of the acquisition submodule in the adjacent data matrix (n) ) By means of fast and accurate calculations in combination with r (n) The specific numerical values are controlled in different gears, so that the temperature uniformity of indoor partitions can be improved quickly, the control efficiency and accuracy of the system are improved, and energy consumption and time consumption are reduced.
For a better understanding of the features and technical content of the present invention, reference should be made to the following detailed description of the invention and accompanying drawings, which are provided for purposes of illustration and description only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic view of the overall structural framework of the present invention;
FIG. 2 is a schematic diagram illustrating the application effect of the system of the present invention;
FIG. 3 is a schematic flow chart of a method for controlling room temperature by combining the system of the present invention with a temperature difference index;
FIG. 4 is a flow chart illustrating a control method according to the present invention.
Detailed Description
The following is a description of embodiments of the present invention with reference to specific embodiments, and those skilled in the art will understand the advantages and effects of the present invention from the disclosure of the present specification. The invention is capable of other and different embodiments and its several details are capable of modification in various other respects, all without departing from the spirit and scope of the present invention. The drawings of the present invention are for illustrative purposes only and are not drawn to scale, and are not intended to be described in advance. The following embodiments will further explain the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
The first embodiment.
The embodiment provides an indoor temperature control system based on image recognition, and with reference to fig. 1 and fig. 2, the indoor temperature control system based on image recognition comprises a control terminal, a detection terminal and a temperature regulation terminal, wherein the detection terminal and the temperature regulation terminal are electrically connected with the control terminal; the system comprises an image recording module, an image acquisition module, an object identification module, a building identification module, a scheme matching module and a control transmission module, wherein the image recording module is used for shooting indoor images in real time and transmitting the images to the image acquisition module, the temperature detection module is used for detecting the room temperature in real time, the image acquisition module is used for receiving and storing the indoor images from the image recording module, the object identification module is used for identifying indoor objects according to the indoor images, the building identification module is used for identifying building types according to the indoor images, the scheme matching module is used for matching corresponding control schemes in a preset control scheme database according to the indoor objects and the building types, and the control transmission module is used for transmitting the control schemes to an air conditioner module and a floor heating module;
the temperature detection module comprises a plurality of acquisition sub-modules and analysis sub-modules, the acquisition sub-modules are uniformly distributed indoors and used for acquiring the temperature of each position in the room, and the analysis sub-modules are used for judging whether the constant temperature state of the indoor temperature reaches the standard or not; when the acquisition submodule operates, generating a data matrix C from acquired data according to a preset period T;
wherein n is the number of the acquisition submodules, m is the number of the detection points in the acquisition submodules, and a ij Data representing a jth detection point of an ith acquisition submodule;
when a user requires that the indoor temperature reaches a constant temperature, the analysis sub-module compares each data in two adjacent data matrixes C in a period within a preset time T, wherein T is more than 2T, and obtains and outputs an indoor temperature difference index; the temperature difference index is calculated according to the following formula:
wherein n is the number of the acquisition submodules, m is the number of the detection points in the acquisition submodules, and a ij Data, a ', representing the jth detection point of the ith acquisition submodule' ij Representing the data of the jth detection point of the ith acquisition submodule of the data matrix C of the next adjacent period; w (a) ij ) Representing a filter function for eliminating the abnormal data;
wherein,
k 1 denotes a preset lower limit coefficient, k 2 Representing a preset upper limit coefficient; in this example k 1 ＝0.8，k 2 1.2, but k 1 And k 2 Can be set or adjusted according to actual conditions;
the larger the temperature difference index is, the larger the unevenness of the indoor temperature is; the smaller the temperature difference index is, the smaller the unevenness of the indoor temperature is, namely, the higher the uniformity of the indoor temperature is;
the temperature difference index is used for prompting the indoor temperature uniformity condition of a user and outputting the indoor temperature uniformity condition to the temperature adjusting terminal, so that the temperature adjusting terminal runs the corresponding air conditioner module or floor heating module to perform indoor constant temperature operation.
Specifically, with reference to fig. 3, when the temperature adjustment terminal performs room temperature control with reference to the temperature difference index, the method includes the following steps:
a1: continuously reading the data matrix C recorded periodically, and reading the temperature difference index between the data matrix C of two adjacent periods;
a2: confirming the change conditions of two temperature difference indexes between three continuous data matrixes C; the change includes decrease and increase;
a3: when the current temperature difference index is greater than the previous temperature difference index, i.e. the change condition is an increase,
calling all data of the two data matrixes C corresponding to the current temperature difference index;
a4: identifying the section to be adjusted in all the indoor sections according to all the data of the two data matrixes C corresponding to the current temperature difference index; the indoor sections are uniformly divided, and the number of the sections corresponds to the number of the acquisition sub-modules one by one;
a5: the air speed and the air direction of the air conditioning module in the corresponding adjusting interval are controlled to improve the temperature uniformity rate of the corresponding adjusting interval, so that the uniformity rate of the indoor temperature is improved.
Optionally, the building types include a first-class building and a second-class building, the scheme matching module includes a building type determining sub-module, a first-class building matching sub-module, and a second-class building matching sub-module, the building type determining sub-module is configured to determine whether the building type is a second-class building, the first-class building matching sub-module is configured to select a corresponding control scheme from a first-class building control scheme comparison table of the control scheme database according to an indoor object when the building type is the first-class building, and the second-class building matching sub-module is configured to select a corresponding control scheme from a second-class building control scheme comparison table of the control scheme database according to the indoor object when the building type is the second-class building.
Optionally, the second type of building includes a laboratory, the second type of building matching sub-module includes a reading unit, a determining unit, a first executing unit and a second executing unit, the reading unit is configured to read an indoor object, the determining unit is configured to determine whether an experimental plant or an experimental culture dish exists in the indoor object, the first executing unit is configured to identify a variety of the experimental plant or a variety of the experimental culture dish according to an indoor image when the experimental plant or the experimental culture dish exists in the indoor object, match a corresponding control scheme in a special column of the second type of building control scheme comparison table according to the variety of the experimental plant or the variety of the experimental culture dish, and the second executing unit is configured to obtain a constant temperature parameter input by an internet or a laboratory administrator when the experimental plant and the experimental culture dish do not exist in the indoor object, and matching the corresponding control scheme in the second type of building control scheme comparison table according to the constant temperature parameter.
Optionally, the building of the same type includes a residence, a classroom and a shopping mall, the building matching submodule of the same type includes a reading unit, a determining unit, a first executing unit, a second executing unit and a third executing unit, the reading unit is used for reading an object in a room, the judging unit is used for judging whether a human being exists in the object in the room, the first execution unit is used for identifying the age and the posture of a human when the human exists, the second execution unit is used for judging whether the human is a special crowd or not according to the age and the posture, if the human is the special crowd, matching the corresponding control scheme in the special column of the building control scheme comparison table, the third execution unit is used for acquiring the room temperature and constant temperature requirement input by the internet or a user when no special crowd exists or no human exists, and matching corresponding control schemes in the building control scheme comparison table according to the room temperature and constant temperature requirements.
Optionally, the building identification module includes an article identification sub-module and a type matching sub-module, the article identification sub-module is configured to perform indoor article identification on an indoor image and generate indoor article information, and the type matching sub-module is configured to match a corresponding building type in a preset building type database based on the indoor article information.
The detection terminal further comprises a dynamic tracking module, and the dynamic tracking module is used for dynamically tracking the action behaviors of indoor human beings based on the indoor images; judging whether the action behaviors of the indoor human beings have disease symptom behaviors or not; and if so, identifying the type of the disease symptom behaviors and matching the corresponding control scheme in the emergency columns of the building control scheme comparison table according to the type of the disease symptom behaviors.
The detection terminal further comprises a reselection scheme module, which is used for dynamically tracking the human with the disease symptom behaviors based on the indoor images and generating track information corresponding to the human; judging whether the human leaves the room or not according to the track information; and if so, matching the corresponding control scheme in the building control scheme comparison table according to the room temperature parameter.
In this embodiment, a working method of the indoor temperature control system based on image recognition is further provided in combination with the indoor temperature control system based on image recognition, and with reference to fig. 4, a method for controlling indoor temperature based on image recognition includes the following steps:
s1: shooting indoor images in real time through a detection terminal, transmitting the indoor images to a control terminal, and detecting the room temperature in real time;
s2: the control terminal receives and stores the indoor image, identifies an indoor object according to the indoor image, identifies a building type according to the indoor image, matches a corresponding control scheme in a preset control scheme database according to the indoor object and the building type, and transmits the control scheme to the temperature adjusting terminal;
s3: when the constant temperature is required, whether the constant temperature state of the indoor temperature reaches the standard or not is judged, the temperature difference index is calculated, the indoor temperature uniformity condition of the user is prompted, and the indoor temperature uniformity condition is output to the temperature adjusting terminal, so that the temperature adjusting terminal can operate the corresponding air conditioning module or floor heating module to perform constant temperature operation indoors.
Example two.
The embodiment includes all the contents of the first embodiment, and provides an indoor temperature control system based on image identification, when the temperature adjusting terminal is combined with the temperature difference index to control the room temperature, the identification to-be-adjusted section is the difference condition OUT (r) of the detection point of the acquisition submodule in the adjacent data matrix (n) ) As a basis, OUT (r) (n) ) The following calculation was made:
wherein r is (n) Representing the amount of data phase difference, r, of detection points of the same acquisition submodule in an adjacent data matrix C (n) ＝|a′ ij -a ij L, |; when OUT (r) (n) ) And when the current value is equal to 1, marking the corresponding interval of the acquisition submodule as an interval to be adjusted.
Each indoor interval corresponds to the air conditioning module air outlet and the wind direction regulating part at the air outlet. The wind speed and the wind direction of the air conditioning module in the corresponding adjusting interval are controlled according to r (n) The specific numerical value is subjected to gear division control, three different gears, namely a gear A, a gear B and a gear C are preset, and specific gear selection is calculated through the following formula:
when GEAR (r) (n) ) When the wind speed is A, the wind speed of the air outlet of the air conditioning module in the corresponding adjusting section is increased by 50%, and the wind direction adjusting piece is adjusted to be in a stop state; when GEAR (r) (n) ) When the wind speed is equal to B, the wind speed of the air outlet of the air conditioning module in the corresponding adjusting section is increased by 100%, and the wind direction adjusting piece is adjusted to be in a stop state; when GEAR (r) (n) ) When the wind speed is equal to C, the wind speed of the air outlet of the air conditioning module in the corresponding adjusting section is increased by 100%, and the wind direction adjusting piece is adjusted to be in a uniform speed swing state; through the mode, the temperature of the air conditioning module is unchanged under the constant temperature operation mode, the efficiency of mixing cooler air and hotter air is improved through controlling the wind speed and the wind direction, and then the indoor temperature is uniform, and the constant temperature control for improving the comfort level of human beings by combining the temperature difference index is realized. Likewise, the thermostat control functions described above are also applicable to thermostat temperature sensitive scenarios, such as: a laboratory, a museum for storing cultural relics, a warehouse for storing famous wine, a cultivation room for cultivating fungi and the like.
The disclosure is only a preferred embodiment of the invention, and is not intended to limit the scope of the invention, so that all equivalent technical changes made by using the contents of the specification and the drawings are included in the scope of the invention, and further, the elements thereof can be updated as the technology advances.
Claims (6)
1. An indoor temperature control system based on image recognition is characterized by comprising a control terminal, a detection terminal and a temperature regulation terminal, wherein the detection terminal and the temperature regulation terminal are electrically connected with the control terminal; the system comprises an image recording module, an image acquisition module, an object identification module, a building identification module, a scheme matching module and a control transmission module, wherein the image recording module is used for shooting indoor images in real time and transmitting the images to the image acquisition module, the temperature detection module is used for detecting the room temperature in real time, the image acquisition module is used for receiving and storing the indoor images from the image recording module, the object identification module is used for identifying indoor objects according to the indoor images, the building identification module is used for identifying building types according to the indoor images, the scheme matching module is used for matching corresponding control schemes in a preset control scheme database according to the indoor objects and the building types, and the control transmission module is used for transmitting the control schemes to an air conditioner module and a floor heating module;
the temperature detection module comprises a plurality of acquisition sub-modules and analysis sub-modules, the acquisition sub-modules are uniformly distributed indoors and used for acquiring the temperature of each position in the room, and the analysis sub-modules are used for judging whether the constant temperature state of the indoor temperature reaches the standard or not; when the acquisition sub-module operates, the acquired data are generated into a data matrix C according to a preset period T;
wherein n is the number of the acquisition submodules, m is the number of the detection points in the acquisition submodules, and a ij Data representing a jth detection point of an ith acquisition submodule;
when a user requires that the indoor temperature reaches a constant value, the analysis submodule compares each data in two data matrixes C adjacent in period within a preset time T, wherein T is more than 2T, and an indoor temperature difference index is obtained and output; the temperature difference index is calculated according to the following formula:
wherein n is the number of the acquisition submodules, m is the number of the detection points in the acquisition submodules, and a ij Data, a ', representing the jth detection point of the ith acquisition submodule' ij Representing the data of the jth detection point of the ith acquisition submodule of the data matrix C of the next adjacent period; w (a) ij ) Representing a filter function for eliminating the abnormal data;
wherein,
k 1 denotes a preset lower limit coefficient, k 2 Representing a preset upper limit coefficient;
the larger the temperature difference index is, the larger the unevenness of the indoor temperature is; the smaller the temperature difference index is, the smaller the unevenness of the indoor temperature is, namely, the higher the uniformity of the indoor temperature is;
the temperature difference index is used for prompting the indoor temperature uniformity condition of a user and outputting the indoor temperature uniformity condition to the temperature adjusting terminal, so that the temperature adjusting terminal runs the corresponding air conditioner module or floor heating module to perform indoor constant temperature operation.
2. The image recognition-based indoor temperature control system of claim 1, wherein the building types include a first type building and a second type building, the plan matching module includes a building type determination sub-module for determining whether the building types are the second type building, a first type building matching sub-module for selecting a corresponding control plan from a first type building control plan comparison table of a control plan database according to an indoor object when the building types are the first type building, and a second type building matching sub-module for selecting a corresponding control plan from a second type building control plan comparison table of the control plan database according to the indoor object when the building types are the second type building.
3. The image recognition-based indoor temperature control system of claim 2, wherein the second type of building includes a laboratory, the second type of building matching sub-module includes a reading unit for reading an indoor object, a judging unit for judging whether a laboratory plant or a laboratory dish exists in the indoor object, a first executing unit for identifying a variety of the laboratory plant or a variety of the laboratory dish from the indoor image when the laboratory plant or the laboratory dish exists in the indoor object, matching a corresponding control scheme in a special column of the second type of building control scheme control table according to the variety of the laboratory plant or the variety of the laboratory dish, and a second executing unit for acquiring a constant temperature parameter input from the internet or a laboratory administrator when the laboratory plant or the laboratory dish does not exist in the indoor object, and matching the corresponding control scheme in the second type of building control scheme comparison table according to the constant temperature parameter.
4. The image recognition-based indoor temperature control system of claim 3, wherein the buildings of one category include houses, class rooms and shopping malls, the building matching sub-module of one category includes a reading unit for reading objects in a room, a judging unit for judging whether a human being is present in the objects in the room, a first executing unit for identifying the age and posture of the human being when the human being is present, a second executing unit for judging whether the human being is a special group according to the age and posture, if the human being is a special group, matching a corresponding control scheme in a special column of the building control scheme comparison table of one category, and a third executing unit for obtaining the room temperature and constant temperature requirement from the internet or input by a user when no special group or human being is present, and matching corresponding control schemes in the building control scheme comparison table according to the room temperature and constant temperature requirements.
5. The image recognition-based indoor temperature control system of claim 4, wherein the building recognition module comprises an article recognition sub-module and a type matching sub-module, the article recognition sub-module is used for performing indoor article recognition on the indoor image and generating indoor article information, and the type matching sub-module is used for matching out the corresponding building type in a preset building category database based on the indoor article information.
6. An indoor temperature control method based on image recognition, which is applied to the indoor temperature control system based on image recognition as claimed in claim 5, wherein the control method comprises the following steps:
s1: shooting indoor images in real time through a detection terminal, transmitting the indoor images to a control terminal, and detecting the room temperature in real time;
s2: the control terminal receives and stores the indoor image, identifies an indoor object according to the indoor image, identifies a building type according to the indoor image, matches a corresponding control scheme in a preset control scheme database according to the indoor object and the building type, and transmits the control scheme to the temperature adjusting terminal;
s3: when the constant temperature is required, whether the constant temperature state of the indoor temperature reaches the standard or not is judged, the temperature difference index is calculated, the indoor temperature uniformity condition of the user is prompted, and the indoor temperature uniformity condition is output to the temperature adjusting terminal, so that the temperature adjusting terminal can operate the corresponding air conditioning module or floor heating module to perform constant temperature operation indoors.
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| CN118153462A (en) * | 2024-05-11 | 2024-06-07 | 无锡冠亚恒温制冷技术有限公司 | Constant temperature system energy efficiency evaluation method and system based on deep learning |
| CN118394155A (en) * | 2024-07-01 | 2024-07-26 | 珠海光安智能科技有限公司 | An intelligent control system for grain silo temperature based on optical fiber |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118153462A (en) * | 2024-05-11 | 2024-06-07 | 无锡冠亚恒温制冷技术有限公司 | Constant temperature system energy efficiency evaluation method and system based on deep learning |
| CN118153462B (en) * | 2024-05-11 | 2024-08-23 | 无锡冠亚恒温制冷技术有限公司 | Constant temperature system energy efficiency evaluation method and system based on deep learning |
| CN118394155A (en) * | 2024-07-01 | 2024-07-26 | 珠海光安智能科技有限公司 | An intelligent control system for grain silo temperature based on optical fiber |
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