CN116309492B - Linen evaluation method and system based on Internet of things - Google Patents
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Abstract
The invention provides a linen evaluation method and system based on the Internet of things, which are applied to the technical field of the Internet of things, and the method comprises the following steps: the method comprises the steps of acquiring cloth grass historical data, acquiring cloth grass images through an image acquisition device, acquiring a pre-washing acquisition result, carrying out image feature recognition on the pre-washing acquisition result to generate pre-washing data, and recording the pre-washing data and washing time nodes to a data interaction device. And obtaining washing parameters, obtaining a washed image through image acquisition, obtaining an acquisition result, carrying out image feature recognition on the image to generate washed data, and generating a washing evaluation result based on the data before washing, the washing parameters and the washed data. And finally, carrying out the same-room linen evaluation based on the historical data, the washed data, the washing evaluation result and the washing time node to generate a linen evaluation result. The technical problem that the hotel service quality is reduced because defective linen cannot be found and updated in time due to the lack of a standardized linen evaluation method in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to a linen evaluation method and system based on the Internet of things.
Background
The hotel linen is cotton fabric for hotel beds, and in general, the linen storage standard of each hotel room is at least three, one set is used for hotel rooms, one set is used for washing in a laundry room, and the other set is stored in a warehouse for standby. However, in the prior art, only when the linen is damaged or has obvious defects, part of linen with unobvious defects or service life cannot be found out in time to be out of service.
Therefore, the lack of a standardized linen evaluation method in the prior art causes the technical problem that defective linen cannot be found and updated in time, resulting in reduction of hotel service quality.
Disclosure of Invention
The application provides a linen evaluation method and system based on the Internet of things, which are used for solving the technical problems that the existing linen cannot be found and updated in time due to the lack of a standardized linen evaluation method in the prior art, and the service quality of a hotel is reduced.
In view of the above problems, the application provides a linen evaluation method and system based on the Internet of things.
According to a first aspect of the application, a linen evaluation method based on the Internet of things is provided, the method is applied to an intelligent evaluation system, the intelligent evaluation system is in communication connection with an image acquisition device and a data interaction device, and the method comprises the following steps: acquiring data through the data interaction device to obtain the historical data of the linen; the image acquisition device is used for acquiring the grass images to obtain an image acquisition result before washing; image feature recognition is carried out on the image acquisition result before washing, pre-washing data are generated based on the feature recognition result, and the pre-washing data and the washing time node are recorded to the data interaction device; obtaining washing parameters, and carrying out image acquisition after washing on the linen through the image acquisition device to obtain a washed image acquisition result; performing image feature recognition on the post-washing image acquisition result, generating post-washing data based on a feature recognition result, and generating a washing evaluation result based on the pre-washing data, the washing parameters and the post-washing data; and carrying out the same-room linen evaluation based on the historical data, the washed data, the washing evaluation result and the washing time node, and generating a linen evaluation result.
According to a second aspect of the application, there is provided a linen evaluation system based on the internet of things, the system is in communication connection with an image acquisition device and a data interaction device, the system comprises: the data acquisition module is used for acquiring data through the data interaction device to obtain the historical data of the linen; the pre-washing image acquisition module is used for acquiring the grass image through the image acquisition device to obtain a pre-washing image acquisition result; the pre-washing image feature recognition module is used for carrying out image feature recognition on the pre-washing image acquisition result, generating pre-washing data based on the feature recognition result, and recording the pre-washing data and the washing time node to the data interaction device; the post-washing image acquisition module is used for obtaining washing parameters, and carrying out post-washing image acquisition on the linen through the image acquisition device to obtain a post-washing image acquisition result; the post-washing image feature recognition module is used for carrying out image feature recognition on the post-washing image acquisition result, generating post-washing data based on the feature recognition result, and generating a washing evaluation result based on the pre-washing data, the washing parameters and the post-washing data; and the linen evaluation result generation module is used for carrying out same-room linen evaluation based on the historical data, the washed data, the washing evaluation result and the washing time node to generate a linen evaluation result.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
According to the method provided by the embodiment of the application, the pre-washing collection result is obtained by acquiring the linen historical data and adopting the image collection device to collect the linen images, the pre-washing data is generated by identifying the linen defect data before washing the linen defect data through the image characteristics, and the pre-washing data and the washing time node are recorded to the data interaction device. And obtaining washing parameters, obtaining a washed image through an image acquisition device, obtaining an acquisition result, carrying out image feature recognition on the image to generate washed data, and generating a washing evaluation result based on the data before washing, the washing parameters and the data after washing to finish evaluating the damage degree of the linen in the washing process. Finally, the linen in the same room is evaluated based on the historical data, the washed data, the washing evaluation result and the washing time node, so that a linen evaluation result is generated, accurate evaluation of the linen is completed, guidance is provided for updating and replacing the linen by the hotel, and the technical effect of improving the service quality of the hotel is achieved. The technical problem that the hotel service quality is reduced because defective linen cannot be found and updated in time due to the lack of a standardized linen evaluation method in the prior art is solved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow chart of a linen evaluation method based on the Internet of things, which is provided by the application;
FIG. 2 is a schematic flow chart of generating a linen evaluation result by linen replacement and washing evaluation data in the linen evaluation method based on the Internet of things;
FIG. 3 is a schematic flow chart of a re-washing control based on optimized and adjusted washing parameters in the linen evaluation method based on the Internet of things;
fig. 4 is a schematic structural diagram of a linen evaluation system based on the internet of things.
Reference numerals illustrate: the device comprises a data acquisition module 11, a pre-washing image acquisition module 12, a pre-washing image feature recognition module 13, a post-washing image acquisition module 14, a post-washing image feature recognition module 15 and a linen evaluation result generation module 16.
Description of the embodiments
The application provides a linen evaluation method and system based on the Internet of things, which are used for solving the technical problems that the existing linen cannot be found and updated in time due to the lack of a standardized linen evaluation method in the prior art, and the service quality of a hotel is reduced.
The technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only some of the contents that the present application can realize, and not all of the contents of the present application.
Examples
As shown in fig. 1, the application provides a linen evaluation method based on the internet of things, which is applied to an intelligent evaluation system, wherein the intelligent evaluation system is in communication connection with an image acquisition device and a data interaction device, and the method comprises the following steps:
Step 100: acquiring data through the data interaction device to obtain the historical data of the linen;
Specifically, the internet of things is an extended and expanded network based on the Internet, and a huge network formed by combining various information sensing devices with the network is used for realizing the interconnection and intercommunication of people, machines and objects at any time and any place. The method comprises the steps of collecting data through a data interaction device, and collecting the historical data of the linen, wherein the historical data of the linen comprise historical pre-washing data, namely historical pre-washing images, historical washing time nodes, historical washing parameters, historical post-washing images, historical washing times and other historical data of the linen recorded through the data interaction device.
Step 200: the image acquisition device is used for acquiring the grass images to obtain an image acquisition result before washing;
step 300: image feature recognition is carried out on the image acquisition result before washing, pre-washing data are generated based on the feature recognition result, and the pre-washing data and the washing time node are recorded to the data interaction device;
Specifically, the image acquisition device is used for acquiring the grass image, wherein the image acquisition device can be a device for acquiring an image, such as an image acquisition camera, and the like, so as to acquire a grass image acquisition result before washing. And carrying out image feature recognition on a pre-washing image acquisition result acquired by the image acquisition device, recognizing the linen features in the pre-washing linen image, such as the size of stains, the color of linen, the breakage defect of linen and the like, and generating pre-washing data according to the pre-washing linen feature recognition result, wherein the pre-washing data records the pre-washing linen feature recognition result. And recording the pre-washing data and the washing time node to the data interaction device, wherein the washing time node is the specific time for washing the linen.
Step 400: obtaining washing parameters, and carrying out image acquisition after washing on the linen through the image acquisition device to obtain a washed image acquisition result;
Step 500: performing image feature recognition on the post-washing image acquisition result, generating post-washing data based on a feature recognition result, and generating a washing evaluation result based on the pre-washing data, the washing parameters and the post-washing data;
Specifically, a washing parameter is obtained, wherein the washing parameter is used for controlling the washing device to wash the linen, and the washing parameter can be a fixed washing parameter set by the washing equipment. And acquiring the washed cloth image by the image acquisition device to acquire a washed image acquisition result. And then carrying out image feature recognition on the washed image acquisition result, recognizing various linen features, such as stain size, linen color, linen breakage defects and the like, in the washed linen image, which can be obtained through image recognition, and generating washed data according to the washed linen feature recognition result, wherein the washed linen feature recognition result is recorded in the washed data. And generating a washing evaluation result based on the pre-washing data, the washing parameters and the post-washing data, wherein the pre-washing data and the post-washing data can be compared when the washing evaluation result is generated, the colors of the linen and the breakage defects of the linen in the pre-washing data and the post-washing data are compared to generate a washing evaluation grade, for example, the grade evaluation can be performed according to whether color difference is generated when the linen color comparison is performed, the lower the grade is the smaller the generated color difference, the lower the grade is the grade, the grade evaluation can be performed according to whether the breakage defects are generated when the linen breakage defect comparison is performed, the washing evaluation grade is obtained according to the obtained grade evaluation results of each grade, and the lower the grade is the lower the breakage defects are the grade which is the lower the grade is the grade of 0. And then generating a washing evaluation result according to the washing parameters and the washing evaluation grades, wherein the washing evaluation result comprises washing evaluation grades of the washing parameters, the washing evaluation grades are used for evaluating the damage degree of the washing parameters to the linen, the lower the grade is, the smaller the damage degree is, the lowest the damage degree is, the lower the grade is, the lower the damage degree is, and the damage degree of the linen in the washing process is conveniently evaluated by acquiring the washing evaluation result.
Step 600: and carrying out the same-room linen evaluation based on the historical data, the washed data, the washing evaluation result and the washing time node, and generating a linen evaluation result.
Specifically, the same-room linen evaluation is performed based on the obtained historical data, the post-washing data, the washing evaluation result and the washing time node, and the data acquisition is performed on the washing times in the historical data, the historical washing time node, the stain size, the linen color and the linen breakage defect in the post-washing data, the washing evaluation result and the washing time node respectively. The method comprises the steps of respectively obtaining the washing times of the linen to be evaluated, the linen use time length obtained according to a washing time node and a historical washing time node, the size of stains in washed data, the color of the linen, the breakage defect of the linen and a washing evaluation result, and respectively evaluating the data to finish the evaluation of the linen in the same room. For example, when the using time and the washing times of the linen in a certain room reach a certain threshold value, the linen needs to be updated, or after washing, a larger stain still exists, which indicates that the stain cannot be removed and the linen needs to be updated, and meanwhile, when the linen color is different and damaged, the linen needs to be updated, so that a linen evaluation result is obtained, wherein the linen evaluation result comprises an updating or non-updating result, and the linen evaluation result is obtained, so that the linen evaluation under various conditions is realized, and a reference is provided for the linen update.
As shown in fig. 2, a method step 600 provided in an embodiment of the present application includes:
step 610: collecting room check-in information, wherein the check-in information comprises check-in personnel information and check-in requirement information;
Step 620: carrying out linen replacement and washing frequency evaluation through the room occupancy information and the historical data to generate linen replacement and washing evaluation data;
step 630: and generating the linen evaluation result through the linen replacement and washing evaluation data.
Specifically, room entry information is collected, wherein the room entry information comprises entry personnel information and entry requirement information, wherein the entry personnel information is used for judging whether the entry personnel are the same entry personnel, wherein the entry requirement information is the requirements of the entry duration of a client and the linen changing frequency, for example, the client entry requirement is that the linen is not changed, and because the linen needs to be changed every day, the room entry information needs to be combined to judge whether the linen changing frequency meets the requirements. And then evaluating the linen changing and washing frequency according to the room living information and the historical data, evaluating whether the linen changing and washing frequency accords with the daily changing and washing or the changing and washing according to the client living demand information, generating the linen changing and washing frequency which does not meet the evaluation when the linen changing and washing frequency does not meet the evaluation or else generating the linen changing and washing frequency which meets the evaluation according to the acquired linen changing and washing frequency evaluation, generating the linen changing and washing evaluation data according to the linen changing and washing evaluation data, wherein the linen changing and washing evaluation data is used for reflecting whether the linen changing and washing frequency meets the requirements or not, generating a linen evaluation result according to the linen changing and washing evaluation data, and providing an indication on whether the linen changing and washing frequency meets the requirements or not.
The method provided by the embodiment of the application comprises the following steps:
step 611: performing demand analysis on the living demand information, and generating a change constraint time interval based on a demand analysis result;
step 612: frequency correction of the frequency evaluation is carried out based on the frequency-changing and washing constraint time interval, so that corrected linen frequency evaluation data are obtained;
step 613: and obtaining the linen evaluation result through the corrected linen replacement and washing evaluation data.
Specifically, the requirement analysis is carried out on the living requirement information, the linen replacement and washing requirement of the living staff is obtained, a replacement and washing constraint time interval is generated according to the linen replacement and washing requirement of the living staff, for example, the living requirement of a client is 3 days and daily linen replacement and washing is carried out, at this time, 2 linen replacement and washing needs to be carried out in the living period, at this time, the replacement and washing constraint time interval is generated, the replacement and washing constraint time interval is used for constraining the linen replacement time, for example, the replacement and washing constraint time interval is between 12 points and 17 points in each day, and the situation that user living experience is poor due to too late replacement and washing is avoided. And then, frequency correction of the frequency evaluation is carried out based on the frequency-changing constraint time interval, so as to obtain corrected linen frequency-changing evaluation data, namely, the evaluation that the linen frequency is not satisfied even if the linen is not changed in the frequency-changing constraint time interval, and the evaluation that the linen frequency is not satisfied if the linen frequency is exceeded in the frequency-changing constraint time interval is generated. And obtaining corrected linen replacement evaluation data through frequency correction of the replacement frequency evaluation in the replacement constraint time interval, so that a service person is prevented from outputting wrong linen replacement evaluation data when performing linen replacement according to the specified replacement constraint time interval. And then obtaining the linen evaluation result according to the corrected linen replacement and washing evaluation data, so that the replacement and washing evaluation data in the linen evaluation result are more accurate.
The method provided by the embodiment of the application comprises the following steps:
step 611-1: acquiring replacement data of non-living time according to the room living information and the historical data;
step 611-2: generating a non-check-in replacement evaluation parameter based on the continuous non-check-in time replacement duration;
step 611-3: and obtaining the linen evaluation result through the non-entry replacement evaluation parameter.
Specifically, according to the room living information and the historical data, acquiring the replacement data of the non-living time, wherein the replacement data of the non-living time is the time length data and the linen replacement data when the room is not living the customer. And then, based on the continuous non-living time replacement duration, namely the linen replacement time when the client is not living continuously, for example, the linen replacement time is replaced once in 2 days when the client is not living, acquiring a non-living replacement evaluation parameter, wherein the non-living replacement evaluation parameter is used for evaluating whether the replacement frequency when the client is not living meets the requirement. And finally, obtaining the linen evaluation result through the non-entry replacement evaluation parameter. And acquiring the linen replacement evaluation when the client is not in the home by acquiring the linen evaluation result, so that the client can intuitively acquire the linen replacement data.
The method provided by the embodiment of the application comprises the following steps:
Step 510: carrying out data analysis on the washed data, and generating tone evaluation data according to a data analysis result;
step 520: calling the tone evaluation data of the same room, and performing the tone evaluation of the same room based on the calling result to generate a tone evaluation result;
Step 530: performing defect characteristic identification on the washed image acquisition result to obtain a defect evaluation result;
step 540: and obtaining the linen evaluation result through the tone evaluation result and the defect evaluation result.
Specifically, the data after washing is subjected to data analysis, and tone evaluation data is generated according to the data analysis result, wherein color inconsistency or color difference with other linen possibly occurs after washing. At this time, tone evaluation data, i.e., tone evaluation data of the linen, for evaluating tone parameters of the linen, is generated based on the analysis result. And then, invoking the cloth grass tone evaluation data of the same room, judging whether the cloth grass tone of the same room is consistent with the current cloth grass tone evaluation data, namely, the current cloth grass washed tone or not by invoking the cloth grass tone evaluation data of the same room, and if so, indicating that the color difference of the cloth grass is not obvious, otherwise, indicating that the color difference of the washed cloth grass is obvious, dividing the cloth grass into a plurality of different grades according to the color difference data, and generating a tone evaluation result according to the grades. And then carrying out defect characteristic recognition on the washed image acquisition result, recognizing whether the washed linen has a stain defect and a breakage defect, obtaining a defect evaluation result, and finally obtaining the linen evaluation result through a tone evaluation result and the defect evaluation result.
As shown in fig. 3, the method step 500 provided in the embodiment of the present application further includes:
step 550: performing washing effect evaluation according to the data after washing and the data before washing to generate a washing effect evaluation result;
Step 560: matching and optimizing washing control parameters based on the washing effect evaluation result;
step 570: optimizing and adjusting the washing parameters through the optimized washing control parameters;
Step 580: and performing re-washing control based on the optimized and adjusted washing parameters.
Specifically, the method comprises the steps of performing washing effect evaluation according to the data after washing and the data before washing, acquiring the data before washing and the data after washing to evaluate whether the stains disappear before and after washing or whether the change of the size and the quantity of the stains meets a certain threshold value, generating a washing effect evaluation result, wherein a plurality of evaluation grades exist in the washing effect evaluation result, the lower the grade is, the worse the washing effect is, and the washing effect evaluation result is used for showing the washing effect. Subsequently, the optimized washing control parameters are matched according to the washing effect evaluation result, wherein the evaluation grade in the washing effect evaluation result and the optimized washing control parameters correspond to each other. The lower the washing effect evaluation level is, the worse the washing effect is, and the higher the optimized washing control parameter is, wherein the optimized washing control parameter is a washing parameter which improves the washing capability, such as the washing time in the washing parameters. And optimally adjusting the washing parameters according to the optimized washing control parameters, obtaining the adjusted washing parameters, and performing secondary washing control on the linen according to the adjusted washing parameters. The system erroneous judgment caused by incomplete cleaning of stubborn stains due to improper setting of washing parameters and incapability of cleaning of linen stains is avoided. The thorough cleaning of stubborn stains is realized, and the judgment errors of the system are reduced.
The method step 600 provided by the embodiment of the application further comprises:
Step 700: setting a temporary user viewing authority range through the data interaction device;
Step 800: and after the data interaction device detects that the temporary user connection exists, sending the data in the temporary user checking authority range to the temporary user with successful connection.
Specifically, a temporary user viewing authority range is set through the data interaction device, wherein the temporary user viewing authority range is linen replacement data which can be viewed by a user, such as data in a certain time period can be viewed by the user and limited contents of a viewing part, so that the user is prevented from acquiring other irrelevant information. The temporary user is a user needing to stay in the current room, and after the data interaction device detects that the temporary user is connected, the temporary user needs to check data at the moment, and then the data in the check authority range of the temporary user is sent to the temporary user with successful connection.
In summary, the method provided by the embodiment of the application obtains the linen history data, adopts the image acquisition device to acquire the linen image, obtains the pre-washing acquisition result, carries out image feature recognition on the pre-washing acquisition result, recognizes the linen defect before washing, generates pre-washing data, and records the pre-washing data and the washing time node to the data interaction device. And obtaining washing parameters, obtaining a washed image through an image acquisition device, obtaining an acquisition result, carrying out image feature recognition on the image to generate washed data, and generating a washing evaluation result based on the data before washing, the washing parameters and the data after washing to finish evaluating the damage degree of the linen in the washing process. Finally, the linen in the same room is evaluated based on the historical data, the washed data, the washing evaluation result and the washing time node, so that a linen evaluation result is generated, accurate evaluation of the linen is completed, guidance is provided for updating and replacing the linen by the hotel, and the technical effect of improving the service quality of the hotel is achieved. The technical problem that the hotel service quality is reduced because defective linen cannot be found and updated in time due to the lack of a standardized linen evaluation method in the prior art is solved.
Examples
Based on the same inventive concept as the method for evaluating linen based on the internet of things in the foregoing embodiment, as shown in fig. 4, the present application provides a system for evaluating linen based on the internet of things, where the system is communicatively connected with an image acquisition device and a data interaction device, and the system includes:
The data acquisition module 11 is used for acquiring data through the data interaction device to obtain the historical data of the linen;
a pre-washing image acquisition module 12, configured to acquire the grass image by using the image acquisition device, so as to obtain a pre-washing image acquisition result;
The pre-washing image feature recognition module 13 is configured to perform image feature recognition on the pre-washing image acquisition result, generate pre-washing data based on the feature recognition result, and record the pre-washing data and a washing time node to the data interaction device;
The post-washing image acquisition module 14 is used for obtaining washing parameters, and carrying out post-washing image acquisition on the linen through the image acquisition device to obtain a post-washing image acquisition result;
a post-washing image feature recognition module 15, configured to perform image feature recognition on the post-washing image acquisition result, generate post-washing data based on the feature recognition result, and generate a washing evaluation result based on the pre-washing data, the washing parameters, and the post-washing data;
and a linen evaluation result generation module 16, configured to perform a same-room linen evaluation based on the history data, the post-washing data, the washing evaluation result, and the washing time node, and generate a linen evaluation result.
Further, the linen evaluation result generation module 16 is further configured to:
collecting room check-in information, wherein the check-in information comprises check-in personnel information and check-in requirement information;
Carrying out linen replacement and washing frequency evaluation through the room occupancy information and the historical data to generate linen replacement and washing evaluation data;
and generating the linen evaluation result through the linen replacement and washing evaluation data.
Further, the linen evaluation result generation module 16 is further configured to:
determining an image sanitation abnormal region according to the image sanitation detection result;
Performing demand analysis on the living demand information, and generating a change constraint time interval based on a demand analysis result;
Frequency correction of the frequency evaluation is carried out based on the frequency-changing and washing constraint time interval, so that corrected linen frequency evaluation data are obtained;
and obtaining the linen evaluation result through the corrected linen replacement and washing evaluation data.
Further, the linen evaluation result generation module 16 is further configured to:
acquiring replacement data of non-living time according to the room living information and the historical data;
generating a non-check-in replacement evaluation parameter based on the continuous non-check-in time replacement duration;
And obtaining the linen evaluation result through the non-entry replacement evaluation parameter.
Further, the linen evaluation result generation module 16 is further configured to:
carrying out data analysis on the washed data, and generating tone evaluation data according to a data analysis result;
Calling the tone evaluation data of the same room, and performing the tone evaluation of the same room based on the calling result to generate a tone evaluation result;
Performing defect characteristic identification on the washed image acquisition result to obtain a defect evaluation result;
and obtaining the linen evaluation result through the tone evaluation result and the defect evaluation result.
Further, the post-washing image feature recognition module 15 is further configured to:
performing washing effect evaluation according to the data after washing and the data before washing to generate a washing effect evaluation result;
matching and optimizing washing control parameters based on the washing effect evaluation result;
optimizing and adjusting the washing parameters through the optimized washing control parameters;
And performing re-washing control based on the optimized and adjusted washing parameters.
Further, the data acquisition module 11 is further configured to:
Setting a temporary user viewing authority range through the data interaction device;
And after the data interaction device detects that the temporary user connection exists, sending the data in the temporary user checking authority range to the temporary user with successful connection.
The second embodiment is used for executing the method as in the first embodiment, and the execution principle and the execution basis thereof can be obtained through the content described in the first embodiment, which is not repeated herein. Although the present application has been described in connection with the specified features and embodiments thereof, the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the application, and the content thus obtained falls within the scope of protection of the present application.
Claims (8)
1. The utility model provides a linen evaluation method based on thing networking, its characterized in that, the method is applied to intelligent evaluation system, intelligent evaluation system and image acquisition device, data interaction device communication connection, the method includes:
acquiring data through the data interaction device to obtain the historical data of the linen;
The image acquisition device is used for acquiring the grass images to obtain an image acquisition result before washing;
image feature recognition is carried out on the image acquisition result before washing, pre-washing data are generated based on the feature recognition result, and the pre-washing data and the washing time node are recorded to the data interaction device;
obtaining washing parameters, and carrying out image acquisition after washing on the linen through the image acquisition device to obtain a washed image acquisition result;
Performing image feature recognition on the post-washing image acquisition result, generating post-washing data based on a feature recognition result, and generating a washing evaluation result based on the pre-washing data, the washing parameters and the post-washing data;
And carrying out the same-room linen evaluation based on the historical data, the washed data, the washing evaluation result and the washing time node, and generating a linen evaluation result.
2. The method of claim 1, wherein the method further comprises:
collecting room check-in information, wherein the check-in information comprises check-in personnel information and check-in requirement information;
Carrying out linen replacement and washing frequency evaluation through the room occupancy information and the historical data to generate linen replacement and washing evaluation data;
and generating the linen evaluation result through the linen replacement and washing evaluation data.
3. The method of claim 2, wherein the method further comprises:
Performing demand analysis on the living demand information, and generating a change constraint time interval based on a demand analysis result;
Frequency correction of the frequency evaluation is carried out based on the frequency-changing and washing constraint time interval, so that corrected linen frequency evaluation data are obtained;
and obtaining the linen evaluation result through the corrected linen replacement and washing evaluation data.
4. A method as claimed in claim 3, wherein the method further comprises:
acquiring replacement data of non-living time according to the room living information and the historical data;
generating a non-check-in replacement evaluation parameter based on the continuous non-check-in time replacement duration;
And obtaining the linen evaluation result through the non-entry replacement evaluation parameter.
5. The method of claim 1, wherein the method further comprises:
carrying out data analysis on the washed data, and generating tone evaluation data according to a data analysis result;
Calling the tone evaluation data of the same room, and performing the tone evaluation of the same room based on the calling result to generate a tone evaluation result;
Performing defect characteristic identification on the washed image acquisition result to obtain a defect evaluation result;
and obtaining the linen evaluation result through the tone evaluation result and the defect evaluation result.
6. The method of claim 1, wherein the method further comprises:
performing washing effect evaluation according to the data after washing and the data before washing to generate a washing effect evaluation result;
matching and optimizing washing control parameters based on the washing effect evaluation result;
optimizing and adjusting the washing parameters through the optimized washing control parameters;
And performing re-washing control based on the optimized and adjusted washing parameters.
7. The method of claim 1, wherein the method further comprises:
Setting a temporary user viewing authority range through the data interaction device;
And after the data interaction device detects that the temporary user connection exists, sending the data in the temporary user checking authority range to the temporary user with successful connection.
8. The utility model provides a linen evaluation system based on thing networking, its characterized in that, system and image acquisition device, data interaction device communication connection, the system includes:
The data acquisition module is used for acquiring data through the data interaction device to obtain the historical data of the linen;
the pre-washing image acquisition module is used for acquiring the grass image through the image acquisition device to obtain a pre-washing image acquisition result;
the pre-washing image feature recognition module is used for carrying out image feature recognition on the pre-washing image acquisition result, generating pre-washing data based on the feature recognition result, and recording the pre-washing data and the washing time node to the data interaction device;
The post-washing image acquisition module is used for obtaining washing parameters, and carrying out post-washing image acquisition on the linen through the image acquisition device to obtain a post-washing image acquisition result;
The post-washing image feature recognition module is used for carrying out image feature recognition on the post-washing image acquisition result, generating post-washing data based on the feature recognition result, and generating a washing evaluation result based on the pre-washing data, the washing parameters and the post-washing data;
And the linen evaluation result generation module is used for carrying out same-room linen evaluation based on the historical data, the washed data, the washing evaluation result and the washing time node to generate a linen evaluation result.
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