CN110737200A - intelligent wardrobe operation system and method - Google Patents
intelligent wardrobe operation system and method Download PDFInfo
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- CN110737200A CN110737200A CN201910903574.2A CN201910903574A CN110737200A CN 110737200 A CN110737200 A CN 110737200A CN 201910903574 A CN201910903574 A CN 201910903574A CN 110737200 A CN110737200 A CN 110737200A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
Abstract
The invention discloses an intelligent wardrobe operation system and method, relates to the technical field of intelligent home furnishing, and aims to realize intelligent cleaning of a wardrobe and pushing of wearing recommendation of a user by detecting the environment in the wardrobe in real time or periodically, judging mildew of clothes by acquiring images, and recommending wearing based on historical data.
Description
Technical Field
The invention relates to the technical field of intelligent home furnishing, in particular to intelligent wardrobe operation systems and methods.
Background
Along with the continuous progress of society and the continuous improvement of living standard of people, people pursue beauty more and more, the clothing style becomes more and more, and along with the change of the temperature of four seasons, the clothing also changes according to different seasons, and the wardrobe is required to store and manage more and more clothing.
The traditional wardrobe has a simple clothes storage function under the condition of simple function, and mold is easy to grow in the wardrobe due to the fact that air is humid in partial areas or in humid weather environments, so that the wardrobe can not be worn by clothes and can influence the body health of people in a fixed range of in the past.
Meanwhile, people can not have pain in matching and selecting clothes styles before going out every time, excessive time is wasted in selecting clothes, and the requirements of people on convenient and easy life are not met.
Therefore, it is an urgent need to solve the problem of providing types of intelligent clothes management system that can manage and store clothes, automatically detect the environment condition of the wardrobe, and automatically recommend to a user to wear the wardrobe.
Disclosure of Invention
In order to solve at least technical problems existing in the prior art, the invention aims to provide a intelligent wardrobe operation system and method, which realize intelligent cleaning of a wardrobe and recommendation and pushing of wearing and taking of a user by performing real-time or periodic detection on the environment in the wardrobe, performing mold judgment on clothes by image acquisition and performing wearing and taking recommendation based on historical data.
The invention provides a intelligent wardrobe operation system in the technical scheme, which is characterized by comprising a sensing module, a wardrobe cleaning module, an intelligent recommendation module, a wireless communication module and a central processing module, wherein the sensing module is used for collecting environmental information and clothes image information in a wardrobe, the wardrobe cleaning module is used for sterilizing, disinfecting and dehumidifying the wardrobe, the intelligent recommendation module is used for performing data analysis according to historical putting-on data of a user to generate a recommended putting-on scheme, the wireless communication module is used for establishing communication connection with a mobile terminal to perform data interaction, and the central processing module is used for receiving data collected by various sensors, performing corresponding operation and issuing an operation instruction to the corresponding module according to an operation result.
Has the advantages that: according to the wearing and taking scheme meeting the personal preference of the user, the wardrobe environment is detected in real time or periodically, cleaning is automatically carried out, clothes are prevented from mildewing or generating peculiar smell, and the home experience and the happiness of the user are improved.
According to the aspect of the invention, the sensing module further comprises an image acquisition unit for acquiring image data of clothes and sending the image data to the central processing module to judge whether the mildew is generated, namely the mildew degree.
According to the aspect of the invention, the intelligent recommendation module further comprises a storage unit for storing user history putting-through data, and a model building and training unit for performing model training based on the user history putting-through data to obtain a putting-through recommendation model.
According to the invention according to the aspect, the fit recommendation model is an ARIMA model.
According to the aspect of the invention, the sensing module further comprises a temperature sensor for detecting temperature data inside and outside the wardrobe, a humidity sensor for detecting humidity data inside the wardrobe, and a gas detector for detecting the content of irritant gases inside the wardrobe, wherein the irritant gases comprise formaldehyde.
According to the aspect of the invention, the wardrobe cleaning module further comprises a sterilization and disinfection unit for performing sterilization and disinfection operations on the wardrobe, a dehumidifying unit for performing dehumidifying operations on the wardrobe, and a gas processing unit for performing adsorption or air extraction operations on irritant gases in the wardrobe.
The intelligent wardrobe operation system according to of the present invention further comprises a mobile terminal for accessing the wireless communication module based on APP or public number and interacting with the central processing module to realize remote control of the intelligent wardrobe.
The second aspect of the technical scheme is that the intelligent wardrobe operation method is characterized by comprising the following steps of S10, initially operating the intelligent wardrobe system, carrying out initialization setting on all parameters including detection periods and detection threshold values of all sensing modules, S20, carrying out periodic work on the sensing modules according to the initialization setting and sending detection data to a central processing module, and S30, carrying out corresponding operation on the central processing module according to the sent detection data and sending operation instructions to corresponding function modules according to operation results.
Has the advantages that: according to the wearing and taking scheme meeting the personal preference of the user, the wardrobe environment is detected in real time or periodically, cleaning is automatically carried out, clothes are prevented from mildewing or generating peculiar smell, and the home experience and the happiness of the user are improved.
According to the second aspect of the present invention, S10 further includes: s11, accessing the intelligent wardrobe system through an APP or a public number on the mobile terminal; s12, sending a remote instruction to the intelligent wardrobe system through the mobile terminal, wherein the remote instruction comprises the steps of starting wardrobe cleaning and generating a putting-on recommendation scheme.
According to the second aspect of the present invention, S30 further includes:
recommending the matching scheme of the current date from matching schemes in the historical matching data according to an ARIMA model based on the historical matching data of fixed period and based on the historical matching value according to the current date information and by combining the clothes image data stored in the current intelligent wardrobe;
the method comprises the following steps of detecting mould, namely acquiring image data of clothes with different degrees of mould as training samples to obtain a detection comparison library, acquiring image data of the clothes stored in the intelligent wardrobe according to fixed period, comparing the image data in the detection comparison library, judging the current degree of mould of the clothes stored in the intelligent wardrobe according to the similarity degree of the image data and the image data, and sending a detection result to a central processing module, wherein the central processing module sends corresponding operation fingers to a wardrobe cleaning module.
Drawings
FIG. 1 is a schematic diagram of a system architecture according to a preferred embodiment of the present invention;
FIG. 2 is a schematic flow chart of the operation according to the preferred embodiment of the present invention;
FIG. 3 is a flowchart of a login operation in accordance with a preferred embodiment of the present invention;
fig. 4 is a schematic view of an operation interface according to a preferred embodiment of the present invention.
Detailed Description
The conception, the specific structure and the technical effects of the present invention will be clearly and completely described in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the schemes and the effects of the present invention.
It should be understood that although the present disclosure may employ the terms , second, third, etc. to describe various elements, these elements should not be limited to these terms.
Referring to fig. 1, there is shown a schematic diagram of a system architecture according to a preferred embodiment of the present invention,
the method comprises the following steps:
the sensing module is used for acquiring environment information and clothes image information in the wardrobe;
the wardrobe cleaning module is used for sterilizing and dehumidifying a wardrobe;
the intelligent recommendation module is used for carrying out data analysis according to the historical putting-on data of the user to generate a recommended putting-on scheme;
the wireless communication module is used for establishing communication connection with the mobile terminal and carrying out data interaction;
and the central processing module is used for receiving the data acquired by each sensor, performing corresponding operation and issuing an operation instruction to the corresponding module according to an operation result.
The sensing module further includes:
the image acquisition unit is used for acquiring the image data of the clothes and sending the image data to the central processing module to judge the generation condition of the mold, namely the mildew degree.
The intelligent recommendation module further comprises:
the storage unit is used for storing historical data of the user;
and the model building and training unit is used for carrying out model training based on the historical building data of the user to obtain a building recommendation model.
The cross-lapping recommendation model is an ARIMA model.
The sensing module further includes:
the temperature sensor is used for detecting the temperature data inside and outside the wardrobe;
the humidity sensor is used for detecting humidity data in the wardrobe;
and the gas detector is used for detecting the content of irritant gas in the wardrobe, wherein the irritant gas comprises formaldehyde.
The wardrobe cleaning module further comprises:
the sterilizing and disinfecting unit is used for sterilizing and disinfecting the wardrobe;
the dehumidifying unit is used for dehumidifying the wardrobe;
and the gas processing unit is used for carrying out adsorption or air extraction operation on the irritant gas in the wardrobe.
Still include mobile terminal for based on APP or public number access wireless communication module to carry out the instruction interaction with central processing module, realize the remote control to intelligent wardrobe.
Referring to FIG. 2, a schematic flow chart of the operation according to the preferred embodiment of the present invention is shown;
the method comprises the following steps:
s10, operating the intelligent wardrobe system for the first time, and performing initialization setting on various parameters, including the detection period and the detection threshold of each sensing module;
s20, the sensing module periodically works according to the initialization setting and sends the detection data to the central processing module;
and S30, the central processing module performs corresponding operation according to the transmitted detection data and transmits an operation instruction to the corresponding functional module according to the operation result.
S10 further includes:
s11, accessing the intelligent wardrobe system through an APP or a public number on the mobile terminal;
and S12, sending a remote instruction to the intelligent wardrobe system through the mobile terminal, wherein the remote instruction comprises the steps of starting wardrobe cleaning and generating a putting-on recommendation scheme.
S30 further includes:
and (3) a putting-through recommendation step:
based on periodic historical data, evaluating and scoring the data;
recommending a matching scheme of the current date from matching schemes in the historical matching data according to an ARIMA model based on the historical matching score and in combination with the clothes image data stored in the current intelligent wardrobe;
and (3) mould detection:
acquiring clothes image data with different degrees of mould as training samples to obtain a detection comparison library;
acquiring image data of clothes stored in the intelligent wardrobe according to fixed period, and comparing the image data in the detection comparison library;
judging the mildew degree of clothes stored in the current intelligent wardrobe according to the similarity degree of the clothes and the clothes;
and sending the detection result to a central processing module, and sending a corresponding operation instruction to a wardrobe cleaning module by the central processing module.
The preferred intelligent wardrobe includes:
the wardrobe comprises an external wardrobe temperature detection circuit, an internal wardrobe temperature and humidity detection circuit, a formaldehyde and other irritant gas detection circuit in the wardrobe, an ultraviolet lamp sterilization and disinfection control circuit, an internal wardrobe dehumidifying device control circuit, a computer vision detection circuit, a wireless transmission circuit and a liquid crystal display circuit, wherein the external wardrobe temperature detection circuit is mainly used for detecting indoor temperature, the internal wardrobe temperature and humidity detection circuit is mainly used for detecting internal wardrobe temperature and humidity, the working mode of the dehumidifying device is changed by comparing internal and external wardrobe temperature change values or set temperature thresholds or detecting whether the gas content in the wardrobe exceeds the standard through the formaldehyde and irritant detection circuit gas, the computer vision detection circuit is mainly used for extracting internal wardrobe related clothes parameters including size, color, classification and the like and providing reference basis for later wearing and dressing, the detection of mildew spots on clothes is completed and providing reference basis for ultraviolet lamp sterilization and disinfection, the ultraviolet lamp sterilization and disinfection has two working modes, is used for opening periods of time every periods, the computer vision detection circuit is used for detecting whether the emergence of the wardrobe, the wireless transmission circuit is used for realizing the analysis of the appearance of the wardrobe and the corresponding mildew spots, the data of a PC processing, the internal and the analysis of the corresponding liquid crystal display of the data of the internal and the display of the environment.
Referring to fig. 3, a flow chart of a login operation according to a preferred embodiment of the present invention is shown;
after entering a starting page and a user guide page, a user logs in or logs in after registration, enters a homepage, sets only wardrobe parameters when the user is used for the first time, and enters a visual selection page, the page displays a 720-degree panoramic image, the panoramic image is shot by an inner camera and an outer camera along a fixed track to be manufactured and converted, the wardrobe safety detection can be carried out, such as temperature, humidity and formaldehyde colony detection, a recommendation menu is transmitted and matched, the APP is checked and ensured to be connected with the wardrobe in real time, time points/sections are set to carry out wardrobe cleaning, dehumidification and sterilization regularly, the cleanness of the wardrobe is ensured, if the user is not used for the first time, the homepage is logged in a running state check, a default mode (a dehumidification interval: 3 days; a sterilization interval: 15 days; a temperature and humidity detection interval: 6 hours; a colony detection interval: 7 days; clothes wearing collocation: default) or a self-defined mode (the dehumidification interval, the sterilization interval, the temperature and humidity detection interval, the colony detection interval, the bacterial colony detection interval, the self-defined mode (the self-defined mode, the user can freely select the dehumidification interval, the sterilization interval, the humidity detection interval, the bacterial colony detection interval, the self-defined mode, the daily classification navigation page, the daily classification navigation page and the historical information sharing information (the monthly classification) and the like), the.
Referring to fig. 4, which is a schematic view of an operation interface according to a preferred embodiment of the present invention,
the pc end and the intelligent cabinet liquid crystal storage module display interface can also be used as a visual operation interface on a mobile terminal APP or a public number, and operations such as viewing historical data of a specified date, the current storage condition of the wardrobe, and remotely controlling the opening and closing of the wardrobe are included.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
The processes described herein (or variations and/or combinations thereof) may be performed under the control of or more computer systems configured with executable instructions and may be implemented as code (e.g., executable instructions, or more computer programs or or more applications) collectively executing on or more processors, by hardware, or combinations thereof.
Further , the methods can be implemented in any type of computing platform operatively connected to the appropriate, including but not limited to personal computers, minicomputers, mainframe computers, workstations, networked or distributed computing environments, separate or integrated computer platforms, or in communication with charged particle tools or other imaging devices, and the like.
The output information may also be applied to one or more output devices such as a display.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (10)
1, kind of intelligence wardrobe operating system, its characterized in that includes:
the sensing module is used for acquiring environment information and clothes image information in the wardrobe;
the wardrobe cleaning module is used for sterilizing and dehumidifying a wardrobe;
the intelligent recommendation module is used for carrying out data analysis according to the historical putting-on data of the user to generate a recommended putting-on scheme;
the wireless communication module is used for establishing communication connection with the mobile terminal and carrying out data interaction;
and the central processing module is used for receiving the data acquired by each sensor, performing corresponding operation and issuing an operation instruction to the corresponding module according to an operation result.
2. The intelligent wardrobe operating system of claim 1, wherein the sensing module further comprises:
and the image acquisition unit is used for acquiring clothes image data and sending the image data to the central processing module to judge the mildew generation condition, namely the mildew degree.
3. The intelligent wardrobe operating system of claim 1, wherein the intelligent recommendation module further comprises:
the storage unit is used for storing historical data of the user;
and the model building and training unit is used for carrying out model training based on the historical building data of the user to obtain a building recommendation model.
4. The intelligent wardrobe operating system of claim 3, wherein the fit recommendation model is an ARIMA model.
5. The intelligent wardrobe operating system of claim 1, wherein the sensing module further comprises:
the temperature sensor is used for detecting the temperature data inside and outside the wardrobe;
the humidity sensor is used for detecting humidity data in the wardrobe;
and the gas detector is used for detecting the content of irritant gas in the wardrobe, wherein the irritant gas comprises formaldehyde.
6. The intelligent wardrobe operating system of claim 1, wherein the wardrobe cleaning module further comprises:
the sterilizing and disinfecting unit is used for sterilizing and disinfecting the wardrobe;
the dehumidifying unit is used for dehumidifying the wardrobe;
and the gas processing unit is used for carrying out adsorption or air extraction operation on the irritant gas in the wardrobe.
7. The intelligent wardrobe operation system according to claim 1, further comprising a mobile terminal for accessing the wireless communication module based on APP or public numbers and performing instruction interaction with the central processing module to realize remote control of the intelligent wardrobe.
8, kinds of intelligent wardrobe operation method, characterized by, including the following step:
s10, operating the intelligent wardrobe system for the first time, and performing initialization setting on various parameters, including the detection period and the detection threshold of each sensing module;
s20, the sensing module periodically works according to the initialization setting and sends the detection data to the central processing module;
and S30, the central processing module performs corresponding operation according to the transmitted detection data and transmits an operation instruction to a corresponding functional module according to an operation result.
9. The intelligent wardrobe operation method of claim 8, wherein the S10 further comprises:
s11, accessing the intelligent wardrobe system through an APP or a public number on the mobile terminal;
s12, sending a remote instruction to the intelligent wardrobe system through the mobile terminal, wherein the remote instruction comprises the steps of starting wardrobe cleaning and generating a putting-on recommendation scheme.
10. The intelligent wardrobe operation method of claim 8, wherein the S30 further comprises:
and (3) a putting-through recommendation step:
based on periodic historical punch-through data, evaluating and scoring the data;
recommending a putting-in scheme of the current date from putting-in schemes in the historical putting-in data according to the information of the current date and based on the historical putting-in value and by combining with clothes image data stored in the current intelligent wardrobe and according to an ARIMA model;
and (3) mould detection:
acquiring clothes image data with different degrees of mould as training samples to obtain a detection comparison library;
acquiring image data of clothes stored in the intelligent wardrobe according to fixed period, and comparing the image data in the detection comparison library;
judging the mildew degree of clothes stored in the intelligent wardrobe according to the similarity degree of the clothes and the clothes;
and sending the detection result to a central processing module, and sending a corresponding operation instruction to a wardrobe cleaning module by the central processing module.
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| CN201910903574.2A CN110737200A (en) | 2019-09-24 | 2019-09-24 | intelligent wardrobe operation system and method |
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| CN201910903574.2A CN110737200A (en) | 2019-09-24 | 2019-09-24 | intelligent wardrobe operation system and method |
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| CN112766341A (en) * | 2021-01-11 | 2021-05-07 | 上海工程技术大学 | Intelligent wardrobe based on gas-sensitive odor detection |
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