CN112488330A - Paint damage repair method based on smart home and smart home - Google Patents
Paint damage repair method based on smart home and smart home Download PDFInfo
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Abstract
The invention discloses a paint damage repairing method based on smart home and the smart home, which comprises the following steps: receiving a paint damage repair application signal; starting light source induction to acquire external light source information in a first time period after receiving a paint damage repair application signal; receiving an externally transmitted paint damage image at a first point in time within a first time period; obtaining external light source information corresponding to the first time point; obtaining paint damage information according to the paint damage image and external light source information corresponding to the time point, wherein the paint damage information comprises paint damage condition information and paint color information; uploading the paint damage information. The invention can not only upload the paint damage information, but also inform the following suppliers to process; and in the data acquisition stage, the external light source information can be used for correcting the subsequent paint color, so that data judgment errors are avoided.
Description
Technical Field
The invention relates to the field of smart home, in particular to a paint damage repairing method based on smart home and the smart home.
Background
The smart home (home automation) is characterized in that a home is used as a platform, facilities related to home life are integrated by utilizing a comprehensive wiring technology, a network communication technology, a safety precaution technology, an automatic control technology and an audio and video technology, an efficient management system of home facilities and home schedule affairs is constructed, home safety, convenience, comfort and artistry are improved, and an environment-friendly and energy-saving living environment is realized. The intelligent home is embodied in an internet of things manner under the influence of the internet. The intelligent home connects various devices (such as audio and video devices, lighting systems, curtain control, air conditioner control, security systems, digital cinema systems, audio and video servers, video cabinet systems, network home appliances and the like) in the home together through the Internet of things technology, and provides multiple functions and means such as home appliance control, lighting control, telephone remote control, indoor and outdoor remote control, anti-theft alarm, environment monitoring, heating and ventilation control, infrared forwarding, programmable timing control and the like. Compared with the common home, the intelligent home has the traditional living function, integrates the functions of building, network communication, information household appliance and equipment automation, provides an all-around information interaction function, and even saves funds for various energy expenses. But the same as ordinary home furnishing, the surface of the intelligent home furnishing can still be rubbed off with paint, and the beauty of the intelligent home furnishing is influenced. If the paint is repainted by the color of the smart home when purchased, the paint color is possibly not matched due to long-time color loss.
Therefore, a paint damage repairing method based on smart home and the smart home are provided, and the method belongs to the problems to be solved in the field.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides a paint damage repairing method based on an intelligent home and the intelligent home, and solves the problem that paint colors are not matched possibly due to long-term fading if paint repair is carried out by using colors of the intelligent home when the intelligent home is purchased in the prior art.
The purpose of the invention is realized by the following technical scheme:
in a first aspect of the invention, a paint damage repairing method based on smart home comprises the following steps:
receiving a paint damage repair application signal;
starting light source induction to acquire external light source information in a first time period after receiving a paint damage repair application signal;
receiving an externally transmitted paint damage image at a first point in time within a first time period;
obtaining external light source information corresponding to the first time point;
obtaining paint damage information according to the paint damage image and external light source information corresponding to the time point, wherein the paint damage information comprises paint damage condition information and paint color information;
uploading the paint damage information.
Further, the method further comprises:
receiving an externally transmitted paint damage image at a second point in time within the first time period;
and acquiring the external light source information corresponding to the second time point.
Further, the method further comprises:
receiving a paint damage repair schedule including a repair time;
and pushing the paint damage repair scheme.
Further, the method further comprises:
setting a low light source threshold and a high light source threshold;
and if the external light source information corresponding to the first time point is lower than the low light source threshold value or higher than the high light source threshold value, not adopting the corresponding paint damage image.
Further, the paint color information is obtained by the following steps: the method comprises the steps of obtaining color information of a paint breaking image, and adjusting the color information by utilizing external light source information to obtain the paint color information.
In a second aspect of the present invention, there is provided a smart home, including:
external information transmission module: for receiving a paint damage repair application signal, receiving an externally transmitted paint damage image at a first point in time within a first time period, and uploading the paint damage information;
light source response control module: the system is used for starting light source induction and acquiring external light source information in a first time period after receiving a paint damage repair application signal;
a data processing module: the external light source information corresponding to the first time point is acquired; and obtaining paint damage information according to the paint damage image and the external light source information corresponding to the time point, wherein the paint damage information comprises paint damage condition information and paint color information.
Further, the external information transmission module is further configured to: receiving an externally transmitted paint damage image at a second point in time within the first time period;
the data processing module is further configured to: and acquiring the external light source information corresponding to the second time point.
Further, the external information transmission module is further configured to: receiving a paint damage repair schedule including a repair time; and pushing the paint damage repair plan.
Further, the data processing module is further configured to: setting a low light source threshold and a high light source threshold; and if the external light source information corresponding to the first time point is lower than the low light source threshold value or higher than the high light source threshold value, not adopting the corresponding paint damage image.
Further, the data processing module is further configured to: the method comprises the steps of obtaining color information of a paint breaking image, and adjusting the color information by utilizing external light source information to obtain the paint color information.
The invention has the beneficial effects that:
(1) in an exemplary embodiment of the present invention, paint damage information may not only be uploaded, notifying a subsequent supplier for processing; and in the data acquisition stage, the external light source information can be used for correcting the subsequent paint color, so that data judgment errors are avoided.
(2) In another exemplary embodiment of the present invention, data combination processing is performed using a plurality of pictures and corresponding light source information, thereby increasing the accuracy of data.
(3) In yet another exemplary embodiment of the present invention, the smart home may receive a paint damage repair scenario including repair time and push to the user so that the user may understand the situation. The pushing mode can be a man-machine interaction mode carried by the smart home for reminding, and can also be an intelligent terminal pushed to a user.
(4) In another exemplary embodiment of the present invention, in order to avoid the influence of the high-brightness picture and the low-brightness environment on the data processing, if the external light source information is lower than the low light source threshold or higher than the high light source threshold, the corresponding paint damage image is not used, and the data judgment error is avoided.
(5) In another exemplary embodiment of the present invention, the paint color corrected according to the paint damage image and the external light source information is implemented by using a deep neural network system, that is, the background server inputs different conditions of the paint damage image and the external light source information to the deep neural network system for training, and then issues the paint damage image and the external light source information to the smart home for storage. The smart home can acquire the trained deep neural network system, and then perform data processing (two inputs, namely paint damage image and external light source information, and one output, namely paint color information).
Drawings
Fig. 1 is a flow chart provided in an exemplary embodiment of a method of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The smart home in the following exemplary embodiments may be a general smart home with paint coating, such as a refrigerator, a table, etc., without limitation.
Referring to fig. 1, fig. 1 illustrates a smart home-based paint damage repair method provided in an exemplary embodiment of the present invention, which is applied to a smart home processor, and includes:
receiving a paint damage repair application signal;
starting light source induction to acquire external light source information in a first time period after receiving a paint damage repair application signal;
receiving an externally transmitted paint damage image at a first point in time within a first time period;
obtaining external light source information corresponding to the first time point;
obtaining paint damage information according to the paint damage image and external light source information corresponding to the time point, wherein the paint damage information comprises paint damage condition information and paint color information;
uploading the paint damage information.
The step of receiving the paint damage repair application signal may be a signal sent by the user intelligent terminal after the user intelligent terminal is connected to the smart home, or a signal sent by a human-computer interaction module carried by the smart home.
And then starting light source induction to acquire external light source information in a first time period after receiving the paint damage repair application signal, wherein the external light source information is used for correcting the subsequent paint color. During this process, the externally transmitted paint damage image received at a first point in time within a first time period may be sensed with the light source turned off. And obtaining the external light source information corresponding to the first time point according to the self-carried information of the paint damage image. (wherein the collection of the paint damage image is preferably collected by a user intelligent terminal, and the intelligent home can also be used if the intelligent home also has a camera)
And then obtaining paint damage information according to the paint damage image and the external light source information corresponding to the time point, wherein the paint damage information comprises paint damage condition information and paint color information. Wherein the paint damage condition information may include a damaged paint area, a damaged paint shape, etc., and the paint color information is a paint color corrected based on the paint damage image and the external light source information.
And finally, uploading the paint damage information by the smart home.
By adopting the method, the paint damage information can be uploaded and the follow-up supplier can be informed to process; and in the data acquisition stage, the external light source information can be used for correcting the subsequent paint color, so that data judgment errors are avoided.
Preferably, in an exemplary embodiment, the method further comprises:
receiving an externally transmitted paint damage image at a second point in time within the first time period;
and acquiring the external light source information corresponding to the second time point.
Specifically, in the exemplary embodiment, data combination processing is performed using a plurality of pictures and corresponding light source information, increasing the accuracy of data.
Preferably, in an exemplary embodiment, the method further comprises:
receiving a paint damage repair schedule including a repair time;
and pushing the paint damage repair scheme.
Specifically, in the exemplary embodiment, the smart home may receive a paint damage repair scenario including repair time and push it to the user so that the user may learn about the situation. The pushing mode can be a man-machine interaction mode carried by the smart home for reminding, and can also be an intelligent terminal pushed to a user.
Preferably, in an exemplary embodiment, the method further comprises:
setting a low light source threshold and a high light source threshold;
and if the external light source information corresponding to the first time point is lower than the low light source threshold value or higher than the high light source threshold value, not adopting the corresponding paint damage image.
Specifically, in this exemplary embodiment, in order to avoid the influence of the high-brightness picture and the low-brightness environment on the data processing, therefore, if the external light source information is lower than the low light source threshold or higher than the high light source threshold, the corresponding paint damage image is not used, and the data judgment error is avoided.
More preferably, in an exemplary embodiment, the paint color information is obtained by: the method comprises the steps of obtaining color information of a paint breaking image, and adjusting the color information by utilizing external light source information to obtain the paint color information.
Specifically, in the exemplary embodiment, the paint color corrected according to the paint damage image and the external light source information is realized by using a deep neural network system, that is, the background server inputs different conditions of the paint damage image, the external light source information and the real-time color information to the deep neural network system for training, and then issues the paint damage image, the external light source information and the real-time color information to the smart home for storage. The smart home can acquire the trained deep neural network system, and then perform data processing (two inputs, namely paint damage image and external light source information, and one output, namely paint color information).
The same inventive concept as the above-described exemplary embodiment, still another exemplary embodiment of the present invention provides a smart home, including:
external information transmission module: for receiving a paint damage repair application signal, receiving an externally transmitted paint damage image at a first point in time within a first time period, and uploading the paint damage information;
light source response control module: the system is used for starting light source induction and acquiring external light source information in a first time period after receiving a paint damage repair application signal;
a data processing module: the external light source information corresponding to the first time point is acquired; and obtaining paint damage information according to the paint damage image and the external light source information corresponding to the time point, wherein the paint damage information comprises paint damage condition information and paint color information.
Preferably, in an exemplary embodiment, the external information transmission module is further configured to: receiving an externally transmitted paint damage image at a second point in time within the first time period;
the data processing module is further configured to: and acquiring the external light source information corresponding to the second time point.
Preferably, in an exemplary embodiment, the external information transmission module is further configured to: receiving a paint damage repair schedule including a repair time; and pushing the paint damage repair plan.
Preferably, in an exemplary embodiment, the data processing module is further configured to: setting a low light source threshold and a high light source threshold; and if the external light source information corresponding to the first time point is lower than the low light source threshold value or higher than the high light source threshold value, not adopting the corresponding paint damage image.
Preferably, in an exemplary embodiment, the data processing module is further configured to: the method comprises the steps of obtaining color information of a paint breaking image, and adjusting the color information by utilizing external light source information to obtain the paint color information.
Yet another exemplary embodiment of the present application provides a storage medium having stored thereon computer instructions which, when executed, perform the steps of a smart home-based paint damage repair method.
Yet another exemplary embodiment of the present application provides a server comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, the processor executing the computer instructions to perform the steps of a smart home-based paint damage repair method.
Based on such understanding, the technical solutions of the present embodiments may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including several instructions for causing an apparatus to execute all or part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is to be understood that the above-described embodiments are illustrative only and not restrictive of the broad invention, and that various other modifications and changes in light thereof will be suggested to persons skilled in the art based upon the above teachings. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the spirit or scope of the invention.
Claims (10)
1. The paint damage repair method based on smart home is characterized by comprising the following steps: the method comprises the following steps:
receiving a paint damage repair application signal;
starting light source induction to acquire external light source information in a first time period after receiving a paint damage repair application signal;
receiving an externally transmitted paint damage image at a first point in time within a first time period;
obtaining external light source information corresponding to the first time point;
obtaining paint damage information according to the paint damage image and external light source information corresponding to the time point, wherein the paint damage information comprises paint damage condition information and paint color information;
uploading the paint damage information.
2. The paint damage repair method based on smart home as claimed in claim 1, wherein: the method further comprises the following steps:
receiving an externally transmitted paint damage image at a second point in time within the first time period;
and acquiring the external light source information corresponding to the second time point.
3. The paint damage repair method based on smart home as claimed in claim 1, wherein: the method further comprises the following steps:
receiving a paint damage repair schedule including a repair time;
and pushing the paint damage repair scheme.
4. The paint damage repair method based on smart home as claimed in claim 1, wherein: the method further comprises the following steps:
setting a low light source threshold and a high light source threshold;
and if the external light source information corresponding to the first time point is lower than the low light source threshold value or higher than the high light source threshold value, not adopting the corresponding paint damage image.
5. The paint damage repair method based on smart home as claimed in claim 1, wherein: the paint color information is obtained in the following manner: the method comprises the steps of obtaining color information of a paint breaking image, and adjusting the color information by utilizing external light source information to obtain the paint color information.
6. The utility model provides an intelligence house which characterized in that: the method comprises the following steps:
external information transmission module: for receiving a paint damage repair application signal, receiving an externally transmitted paint damage image at a first point in time within a first time period, and uploading the paint damage information;
light source response control module: the system is used for starting light source induction and acquiring external light source information in a first time period after receiving a paint damage repair application signal;
a data processing module: the external light source information corresponding to the first time point is acquired; and obtaining paint damage information according to the paint damage image and the external light source information corresponding to the time point, wherein the paint damage information comprises paint damage condition information and paint color information.
7. The smart home according to claim 1, characterized in that: the external information transmission module is further configured to: receiving an externally transmitted paint damage image at a second point in time within the first time period;
the data processing module is further configured to: and acquiring the external light source information corresponding to the second time point.
8. The smart home according to claim 1, characterized in that: the external information transmission module is further configured to: receiving a paint damage repair schedule including a repair time; and pushing the paint damage repair plan.
9. The smart home according to claim 1, characterized in that: the data processing module is further configured to: setting a low light source threshold and a high light source threshold; and if the external light source information corresponding to the first time point is lower than the low light source threshold value or higher than the high light source threshold value, not adopting the corresponding paint damage image.
10. The smart home according to claim 1, characterized in that: the data processing module is further configured to: the method comprises the steps of obtaining color information of a paint breaking image, and adjusting the color information by utilizing external light source information to obtain the paint color information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202011351312.9A CN112488330A (en) | 2020-11-27 | 2020-11-27 | Paint damage repair method based on smart home and smart home |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011351312.9A CN112488330A (en) | 2020-11-27 | 2020-11-27 | Paint damage repair method based on smart home and smart home |
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- 2020-11-27 CN CN202011351312.9A patent/CN112488330A/en active Pending
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| US20120046987A1 (en) * | 2010-08-18 | 2012-02-23 | Ronald Lee | Mobile Paint Matching Service |
| CN107960087A (en) * | 2015-06-05 | 2018-04-24 | 汽车便利俱乐部株式会社 | Color-match device and method for color matching for mending paint |
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Application publication date: 20210312 |