CN116308247A - Maintenance and management method and system for linen textile - Google Patents
Maintenance and management method and system for linen textile Download PDFInfo
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- CN116308247A CN116308247A CN202210950312.3A CN202210950312A CN116308247A CN 116308247 A CN116308247 A CN 116308247A CN 202210950312 A CN202210950312 A CN 202210950312A CN 116308247 A CN116308247 A CN 116308247A
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- 238000012423 maintenance Methods 0.000 title claims abstract description 119
- 239000004753 textile Substances 0.000 title claims abstract description 99
- 238000007726 management method Methods 0.000 title claims abstract description 79
- 230000010365 information processing Effects 0.000 claims abstract description 26
- 238000012544 monitoring process Methods 0.000 claims description 45
- 239000000835 fiber Substances 0.000 claims description 22
- 238000004040 coloring Methods 0.000 claims description 21
- 238000000034 method Methods 0.000 claims description 20
- 238000010276 construction Methods 0.000 claims description 13
- 238000000605 extraction Methods 0.000 claims description 5
- 238000013473 artificial intelligence Methods 0.000 abstract description 2
- 230000000694 effects Effects 0.000 description 7
- 230000009467 reduction Effects 0.000 description 6
- 239000004744 fabric Substances 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000005406 washing Methods 0.000 description 3
- 229920000742 Cotton Polymers 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention provides a maintenance and management method and system for linen textile, which relate to the field of artificial intelligence, and are used for constructing a linen textile set based on big data, extracting any one of a plurality of linen textile, and taking the linen textile as target linen; an information acquisition module is built, the information acquisition module is embedded in the target linen based on a preset embedding scheme, real-time data information of the target linen is obtained, and is transmitted to an information processing module for analysis, and the real-time state of the target linen is judged according to an analysis result; analyzing and determining a target application level of the target linen, and generating a standard maintenance scheme according to the target application level; and according to a standard maintenance scheme, maintaining and managing the target linen in a real-time state. The technical problems that in the prior art, human factors of maintenance and management of the linen textile are greatly influenced, the maintenance and management efficiency is low, and the user experience is reduced are solved.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a method and a system for maintaining and managing linen textile.
Background
Linen belongs to hotel specialty. The hotel cloth is a generic term of towels, tablecloths, bedsheets, pillowcases and the like placed in a guest room by hotel guest rooms, and generally refers to something which is related to the cloth in a modern hotel, and comprises bedding articles such as bedding covers, cotton wadding quilt cores, bedspreads, pillowcase pillow cores, bed hat bed skirts, bed tail mats, protection mats, towel products such as face tissues, shawl, bath tissues, ground tissues, bathrobes and the like, and also comprises tablecloths, chair cover table skirts, bath curtains and the like.
The linen is concerned with the reputation and the customer source of the hotel, and the clean and sanitary linen supplies are provided for customers, so that the customers feel comfortable and safe, and a totally new hotel check-in experience is brought to the customers. Therefore, maintenance and management of hotel linen is becoming more and more important.
At present, maintenance management on linen textile is basically carried out by hotel management staff, the daily people flow of a hotel is large, hotel linen needs to be replaced every day in a guest room, so that the workload is large, the maintenance management efficiency is greatly reduced, the influence of many human errors is increased, and the user experience is reduced.
Disclosure of Invention
The utility model provides a linen textile maintenance management method and system, which are used for solving the technical effects that the human factor influence of the linen textile maintenance management in the prior art is large, the maintenance management efficiency is low, the user experience feeling is reduced, the human error is reduced, the maintenance management efficiency is improved, and the user experience feeling is improved.
In view of the above problems, the present application provides a method and a system for maintenance and management of linen textile.
In a first aspect, an embodiment of the present application provides a method for maintenance and management of a linen textile, including: constructing a linen textile set based on big data, wherein the linen textile set comprises a plurality of linen textiles; extracting any one of the plurality of linen textiles, and taking the linen textile as a target linen; an information acquisition module is built, and the information acquisition module is embedded in the target linen based on a preset embedding scheme; the information acquisition module is used for acquiring real-time data information of the target linen and transmitting the real-time data information to the information processing module; analyzing the real-time data information through the information processing module, and judging the real-time state of the target linen according to an analysis result; analyzing and determining a target application level of the target linen, and generating a standard maintenance scheme according to the target application level; and according to the standard maintenance scheme, carrying out maintenance management on the target linen in the real-time state.
In a second aspect, embodiments of the present application provide a maintenance management system for a linen textile, the system comprising: the linen textile set construction module is used for constructing a linen textile set based on big data, wherein the linen textile set comprises a plurality of linen textiles; the target linen extraction module is used for extracting any one linen textile of the plurality of linen textiles and taking the linen textile as a target linen; the construction module is used for constructing an information acquisition module and embedding the information acquisition module into the target linen based on a preset embedding scheme; the information acquisition module is used for acquiring real-time data information of the target linen and transmitting the real-time data information to the information processing module; the information processing module is used for analyzing the real-time data information and judging the real-time state of the target linen according to an analysis result; the standard maintenance scheme generation module is used for analyzing and determining the target application grade of the target linen and generating a standard maintenance scheme according to the target application grade; and the maintenance management module is used for carrying out maintenance management on the target linen in the real-time state according to the standard maintenance scheme.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method and the system for maintaining and managing the linen textile, provided by the embodiment of the application, construct a linen textile set based on big data, wherein the linen textile set comprises a plurality of linen textiles; extracting any one of the plurality of linen textiles, and taking the linen textile as a target linen; an information acquisition module is built, and the information acquisition module is embedded in the target linen based on a preset embedding scheme; the information acquisition module is used for acquiring real-time data information of the target linen and transmitting the real-time data information to the information processing module; analyzing the real-time data information through the information processing module, and judging the real-time state of the target linen according to an analysis result; analyzing and determining a target application level of the target linen, and generating a standard maintenance scheme according to the target application level; and according to the standard maintenance scheme, carrying out maintenance management on the target linen in the real-time state. The technical problems of great influence of human factors on maintenance and management of the linen textile, lower maintenance and management efficiency and reduction of user experience feeling in the prior art are solved, and the technical effects of reducing human errors, improving maintenance and management efficiency and user experience feeling are achieved.
Drawings
Fig. 1 is a schematic flow chart of a method for maintaining and managing linen textile provided in the present application;
fig. 2 is a schematic flow chart of constructing an information acquisition module in the method for maintaining and managing linen textile provided by the application;
FIG. 3 is a schematic flow chart of a method for maintaining and managing linen textile, which is provided in the present application, for constructing a linen quality problem set;
fig. 4 is a schematic flow chart of generating a standard maintenance scheme according to the target application level in the method for maintaining and managing linen textile provided by the present application;
fig. 5 is a schematic structural diagram of a maintenance management system for linen textile provided in the present application.
Reference numerals illustrate: the system comprises a linen textile set construction module 100, a target linen extraction module 200, a construction module 300, an information acquisition module 400, an information processing module 500, a standard maintenance scheme generation module 600 and a maintenance management module 700.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The utility model provides a method and a system for maintaining and managing linen textile, which are used for solving the technical effects of great influence of human factors in the maintenance and management of linen textile, lower maintenance and management efficiency, reduction of user experience feeling, reduction of human errors, improvement of maintenance and management efficiency and user experience feeling in the prior art.
Example 1
As shown in fig. 1, the present application provides a method for maintaining and managing linen textile, comprising:
s100: constructing a linen textile set based on big data, wherein the linen textile set comprises a plurality of linen textiles;
specifically, the big data is recorded with material information and usage information of various textile fabrics; constructing a linen textile set based on the big data, wherein the linen textile set comprises a plurality of linen textiles, for example, bedding articles such as bedding covers, cotton wadding quilt cores, bedsheets, pillowcase pillow cores, fitted sheet skirts, bed tail mats, protection mats, towel products such as face tissues, shawl, bath tissues, ground tissues, bathrobe and the like, and also comprises tablecloth napkins, chair cover table skirts, bath curtains and the like; preferably, each piece of linen is implanted with an independent and unique washable RFID chip, so that the purpose of non-contact identification is achieved, and data support is provided for intelligent maintenance and management of linen textiles.
S200: extracting any one of the plurality of linen textiles, and taking the linen textile as a target linen;
specifically, in order to realize maintenance and management of the linen textile, any one of the linen textile among the plurality of linen textile is extracted, and the linen textile is used as a target linen to carry out maintenance and management.
S300: an information acquisition module is built, and the information acquisition module is embedded in the target linen based on a preset embedding scheme;
further, as shown in fig. 2, the information collecting module includes:
s310: constructing a linen quality problem set, wherein the linen quality problem set comprises a plurality of linen quality problems;
s320: extracting any one of the linen quality problems in the linen quality problem set, and taking the linen quality problem as a target linen quality problem;
s330: analyzing the quality problem of the target linen to obtain the nature of the problem;
s340: constructing an intelligent device set based on big data;
s350: aiming at the problem essence, traversing and matching in the intelligent equipment set to obtain target intelligent monitoring equipment, wherein the target intelligent monitoring equipment is used for dynamically monitoring the problem essence;
s360: and constructing the information acquisition module based on the target intelligent monitoring equipment.
Specifically, by constructing an information acquisition module, information acquisition is carried out on the linen textile, the information acquisition module is embedded in the target linen based on a preset embedding scheme, and the preset embedding scheme is preset according to past history experience. Specifically, a set of linen quality questions is organized, wherein the set of linen quality questions includes a plurality of linen quality questions, such as: the color of the linen caused by washing causes, the local damage and poor fastness of the linen caused by the linen being stained with corrosive chemicals, the linen being scratched or worn out caused by mechanical causes in the washing process, and the like including but not limited to these quality problems; extracting any one of the linen quality problems in the linen quality problem set, taking the linen quality problem as a target linen quality problem, simplifying the process, conveniently researching the linen, analyzing the target linen quality problem to obtain a problem essence, and by way of example, assuming that the linen is locally damaged, the reason for the local damage can be corrosion, mechanical or artificial in the washing process, and finally determining that the problem essence of the linen is a performance quality problem; the large data are recorded with various sensor or acquisition equipment information, an intelligent equipment set is built based on the large data, and the intelligent identification set comprises image acquisition equipment or various sensors, so that quality problems of the linen can be monitored; and finally, constructing an information acquisition module based on the target intelligent monitoring equipment, realizing dynamic monitoring of the linen through the construction of the information acquisition module, providing a data basis for the maintenance management of the linen, reducing the influence of human factors, and carrying out maintenance management on the linen after the data processing is intelligent.
Further, as shown in fig. 3, the step of constructing the linen quality problem set includes:
s311: collecting quality problems of the appearance of the linen textile to obtain an appearance quality problem set, wherein the appearance quality problem set comprises flooding, uneven coloring and low whiteness;
s312: collecting quality problems of the performance of the linen textile to obtain a performance quality problem set, wherein the performance quality problem set comprises a hair bulb and fiber structure damage;
s313: and constructing the linen quality problem set according to the problems of flooding, uneven coloring, low whiteness, fuzzing ball and fiber structure damage.
Specifically, for constructing a linen quality problem set, the embodiment provides a specific construction method, and the appearance quality problem set is obtained by acquiring quality problems of the appearance of linen textile, wherein the appearance quality problem set comprises flooding color, uneven coloring and low whiteness; collecting quality problems of the performance of the linen textile to obtain a performance quality problem set, wherein the performance quality problem set comprises a hair bulb and fiber structure damage; and finally, according to the problems of flooding, uneven coloring, low whiteness, fuzzing ball and fiber structure damage, completing the construction of the linen quality problem set, providing a data basis for the acquisition of the subsequent target intelligent monitoring equipment, and further completing the smooth acquisition of the target intelligent monitoring equipment.
Still further, the method further comprises:
s314: sequentially analyzing the problems of the flooding color, the uneven coloring, the low whiteness, the fuzzing ball and the fiber structure damage to obtain a problem essence set;
s315: according to the problem essence set, classifying the problems of flooding, uneven coloring, low whiteness and fuzzing balls into image monitoring types, and classifying the problem of fiber structure damage into performance monitoring types;
s316: aiming at the problems of the image monitoring class, a matched image acquisition device is used as the target intelligent monitoring equipment;
s317: aiming at the problems of the performance monitoring type, a wind sensor and a temperature sensor are matched to serve as the target intelligent monitoring equipment;
s318: and constructing the information acquisition module based on the image acquisition device, the wind sensor and the temperature sensor.
Specifically, analyzing the target linen quality problem to obtain a problem essence, traversing and matching in the intelligent equipment set to obtain target intelligent monitoring equipment aiming at the problem essence, and constructing the information acquisition module based on the target intelligent monitoring equipment specifically comprises:
sequentially analyzing the problems of the flooding color, the uneven coloring, the low whiteness, the fuzzing ball and the fiber structure damage to obtain a problem essence set; the problem essence set comprises appearance quality problems and performance quality problems; according to the problem essence set, classifying the problems of flooding, uneven coloring, low whiteness and fuzzing balls into image monitoring types, and classifying the problem of fiber structure damage into performance monitoring types; aiming at the problems of the image monitoring class, a matched image acquisition device is used as the target intelligent monitoring equipment; aiming at the problems of the performance monitoring type, a wind sensor and a temperature sensor are matched to serve as the target intelligent monitoring equipment; and constructing the information acquisition module based on the image acquisition device, the wind sensor and the temperature sensor.
S400: the information acquisition module is used for acquiring real-time data information of the target linen and transmitting the real-time data information to the information processing module;
s500: analyzing the real-time data information through the information processing module, and judging the real-time state of the target linen according to an analysis result;
specifically, the information acquisition module is connected with the information processing module, the information acquisition module is used for dynamically monitoring the target linen to obtain real-time data information of the target linen, the information acquisition module is used for transmitting the real-time data information of the target linen to the information processing module, the information processing module is used for processing and analyzing the real-time data information of the target linen to judge the real-time state of the target linen, and quality problems such as flooding, uneven coloring, low whiteness, fuzzing ball, fiber structure damage and the like are detected.
S600: analyzing and determining a target application level of the target linen, and generating a standard maintenance scheme according to the target application level;
further, as shown in fig. 4, the generating a standard maintenance scheme according to the target application level includes:
s610: performing linen application grade classification based on the condition of the body part directly contacted with the linen, and obtaining a preset application grade classification standard;
s620: obtaining a direct contact part of the target linen and determining the target application grade of the target linen by combining the preset application grade dividing standard;
s630: obtaining the real-time quality problem of the target linen according to the real-time state;
s640: constructing a linen maintenance management database, wherein the linen maintenance management database comprises linen maintenance management schemes with different application grades and different quality problems;
s650: and traversing in the linen maintenance management database to obtain the standard maintenance scheme based on the target application level and the real-time quality problem.
Specifically, in order to determine a maintenance scheme of a target linen, analyzing a target application level of the target linen, wherein the target application level is determined according to whether the target linen is in direct contact with skin, a contact position and an application environment; and different application levels correspond to different maintenance schemes, and finally, a standard maintenance scheme is generated according to the target application level of the target linen.
Specifically, performing linen application grade classification based on the condition of body parts directly contacted with linen, and obtaining a preset application grade classification standard, wherein grade classifications corresponding to different contact parts are recorded in the preset application grade classification standard, the direct contact part of the target linen is obtained, and the target application grade of the target linen is determined by combining the preset application grade classification standard; for example, the towel is in direct contact with the facial skin, determined as grade a; the bed tail pad is determined to be C grade as it is not in direct contact with the skin; the real-time quality problem of the target linen is obtained through the dynamic monitoring of the information acquisition module, and the quality problem of the target linen can be processed in time when the linen has the quality problem; the method comprises the steps of constructing a linen maintenance management database, and constructing a linen maintenance management database by utilizing past linen maintenance history data, wherein the linen maintenance management database comprises linen maintenance management schemes with different application grades and different quality problems; and traversing in the linen maintenance management database based on the target application grade and the real-time quality problem to obtain a standard maintenance scheme corresponding to the target linen quality problem, so as to achieve intelligent determination of the maintenance scheme, reduce participation of human factors, further reduce error probability caused by difference of different manager levels, and improve experience of clients.
Further, the obtaining the real-time quality problem of the target linen according to the real-time state includes:
s631: the image acquisition device in the information acquisition module is used for acquiring the image information of the target linen in an omnibearing manner;
s632: performing color feature analysis on the acquired image information to obtain a color feature analysis result;
s633: according to the color characteristic analysis result, sequentially judging whether the target linen has the problems of flooding, uneven coloring, low whiteness and hair bulb forming or not, and respectively obtaining appearance judgment results;
s634: and obtaining the real-time appearance quality problem of the target linen according to the appearance judging result.
Specifically, the real-time quality problem of the target linen obtained according to the real-time state specifically includes: the image acquisition device in the information acquisition module is used for acquiring the image information of the target linen in an omnibearing manner; performing color feature analysis on the acquired image information to obtain a color feature analysis result; according to the color characteristic analysis result, sequentially judging whether the target linen has the problems of flooding, uneven coloring, low whiteness and fuzzing balls or not, and respectively obtaining appearance judgment results; and obtaining the real-time appearance quality problem of the target linen according to the appearance judging result.
Further, after obtaining the real-time appearance quality problem of the target linen, the method further comprises the following steps:
s635: the wind force and temperature information of the target linen are collected in an omnibearing way through the wind force sensor and the temperature sensor in the information collection module;
s636: analyzing the collected wind power and temperature information through the information processing module to obtain a performance characteristic analysis result;
s637: judging whether the target linen has the problem of fiber structure damage or not according to the performance characteristic analysis result, and obtaining a performance judgment result;
s638: obtaining the real-time performance quality problem of the target linen according to the performance judgment result;
s639: and forming the real-time quality problem according to the real-time appearance quality problem and the real-time performance quality problem.
Specifically, the quality problems of the linen textile comprise appearance quality problems and performance quality problems, and under the condition that the appearance quality problems are obtained, the wind force and temperature information of the target linen are collected in an omnibearing manner through the wind force sensor and the temperature sensor in the information collection module; after the fiber structure of the linen textile is damaged, the porosity of each part of the linen is changed, the wind power and the heat insulation performance of each part are different, and the collected wind power and temperature information is analyzed through the information processing module to obtain a performance characteristic analysis result; judging whether the target linen has the problem of fiber structure damage or not according to the performance characteristic analysis result, and obtaining a performance judgment result; obtaining the real-time performance quality problem of the target linen according to the performance judgment result; and forming the real-time quality problem according to the real-time appearance quality problem and the real-time performance quality problem.
S700: and according to the standard maintenance scheme, carrying out maintenance management on the target linen in the real-time state.
Finally, after the standard maintenance scheme is obtained, the target linen in the real-time state is maintained and managed according to the standard maintenance scheme, so that the technical problems of high influence of human factors on maintenance and management of linen textiles, low maintenance and management efficiency, user experience feeling reduction and human error reduction are solved, and the maintenance and management efficiency and the user experience feeling improvement are achieved.
In summary, the method for maintaining and managing linen textile provided by the embodiment of the application has the following technical effects:
1. according to the maintenance and management method for the linen textile, a linen textile set is constructed based on big data, wherein the linen textile set comprises a plurality of linen textiles; extracting any one of the plurality of linen textiles, and taking the linen textile as a target linen; an information acquisition module is built, and the information acquisition module is embedded in the target linen based on a preset embedding scheme; the information acquisition module is used for acquiring real-time data information of the target linen and transmitting the real-time data information to the information processing module; analyzing the real-time data information through the information processing module, and judging the real-time state of the target linen according to an analysis result; analyzing and determining a target application level of the target linen, and generating a standard maintenance scheme according to the target application level; and according to the standard maintenance scheme, carrying out maintenance management on the target linen in the real-time state. The technical problems of great influence of human factors on maintenance and management of the linen textile, lower maintenance and management efficiency and reduction of user experience feeling in the prior art are solved, and the technical effects of reducing human errors, improving maintenance and management efficiency and user experience feeling are achieved.
2. According to the method, the information acquisition module is constructed by utilizing the analysis result of the quality problem of the target linen, dynamic monitoring of the linen is realized through construction of the information acquisition module, a data basis is provided for maintenance and management of the linen, influence of human factors is reduced, and the linen is maintained and managed after intelligent data processing is achieved.
3. According to the method, the linen maintenance management database is constructed, the standard maintenance scheme corresponding to the target linen quality problem is obtained through traversing in the linen maintenance management database based on the target application level and the real-time quality problem in the linen maintenance management database, intelligent determination of the maintenance scheme is achieved, participation of human factors is reduced, the probability of error caused by the difference of different manager levels is further reduced, and the technical effect of customer experience feeling is improved.
Example two
Based on the same inventive concept as the maintenance and management method of a linen textile in the foregoing embodiment, as shown in fig. 5, the present application provides a maintenance and management system of a linen textile, including:
a linen textile set construction module 100, wherein the linen textile set construction module 100 is configured to construct a linen textile set based on big data, and the linen textile set includes a plurality of linen textiles;
a target linen extraction module 200, wherein the target linen extraction module 200 is configured to extract any one of the plurality of linen textiles, and take the linen textile as a target linen;
the construction module 300 is used for constructing an information acquisition module, and embedding the information acquisition module into the target linen based on a preset embedding scheme;
the information acquisition module 400 is used for acquiring real-time data information of the target linen through the information acquisition module 400 and transmitting the real-time data information to the information processing module;
the information processing module 500 analyzes the real-time data information through the information processing module 500 and judges the real-time state of the target linen according to an analysis result;
the standard maintenance scheme generation module 600 is used for analyzing and determining a target application level of the target linen and generating a standard maintenance scheme according to the target application level;
and the maintenance management module 700 is used for carrying out maintenance management on the target linen in the real-time state according to the standard maintenance scheme by the maintenance management module 700.
Further, the building block 300 in the system is further configured to:
constructing a linen quality problem set, wherein the linen quality problem set comprises a plurality of linen quality problems;
extracting any one of the linen quality problems in the linen quality problem set, and taking the linen quality problem as a target linen quality problem;
analyzing the quality problem of the target linen to obtain the nature of the problem;
constructing an intelligent device set based on big data;
aiming at the problem essence, traversing and matching in the intelligent equipment set to obtain target intelligent monitoring equipment, wherein the target intelligent monitoring equipment is used for dynamically monitoring the problem essence;
and constructing the information acquisition module based on the target intelligent monitoring equipment.
Further, the building block 300 in the system is further configured to:
collecting quality problems of the appearance of the linen textile to obtain an appearance quality problem set, wherein the appearance quality problem set comprises flooding, uneven coloring and low whiteness;
collecting quality problems of the performance of the linen textile to obtain a performance quality problem set, wherein the performance quality problem set comprises a hair bulb and fiber structure damage;
and constructing the linen quality problem set according to the problems of flooding, uneven coloring, low whiteness, fuzzing ball and fiber structure damage.
Further, the building block 300 in the system is further configured to:
sequentially analyzing the problems of the flooding color, the uneven coloring, the low whiteness, the fuzzing ball and the fiber structure damage to obtain a problem essence set;
according to the problem essence set, classifying the problems of flooding, uneven coloring, low whiteness and fuzzing balls into image monitoring types, and classifying the problem of fiber structure damage into performance monitoring types;
aiming at the problems of the image monitoring class, a matched image acquisition device is used as the target intelligent monitoring equipment;
aiming at the problems of the performance monitoring type, a wind sensor and a temperature sensor are matched to serve as the target intelligent monitoring equipment;
and constructing the information acquisition module based on the image acquisition device, the wind sensor and the temperature sensor.
Further, the standard maintenance scheme generation module 600 in the system is further configured to:
performing linen application grade classification based on the condition of the body part directly contacted with the linen, and obtaining a preset application grade classification standard;
obtaining a direct contact part of the target linen and determining the target application grade of the target linen by combining the preset application grade dividing standard;
obtaining the real-time quality problem of the target linen according to the real-time state;
constructing a linen maintenance management database, wherein the linen maintenance management database comprises linen maintenance management schemes with different application grades and different quality problems;
and traversing in the linen maintenance management database to obtain the standard maintenance scheme based on the target application level and the real-time quality problem.
Further, the standard maintenance scheme generation module 600 in the system is further configured to:
the image acquisition device in the information acquisition module is used for acquiring the image information of the target linen in an omnibearing manner;
performing color feature analysis on the acquired image information to obtain a color feature analysis result;
according to the color characteristic analysis result, sequentially judging whether the target linen has the problems of flooding, uneven coloring, low whiteness and hair bulb forming or not, and respectively obtaining appearance judgment results;
and obtaining the real-time appearance quality problem of the target linen according to the appearance judging result.
Further, the standard maintenance scheme generation module 600 in the system is further configured to:
the wind force and temperature information of the target linen are collected in an omnibearing way through the wind force sensor and the temperature sensor in the information collection module;
analyzing the collected wind power and temperature information through the information processing module to obtain a performance characteristic analysis result;
judging whether the target linen has the problem of fiber structure damage or not according to the performance characteristic analysis result, and obtaining a performance judgment result;
obtaining the real-time performance quality problem of the target linen according to the performance judgment result;
and forming the real-time quality problem according to the real-time appearance quality problem and the real-time performance quality problem.
The specific working process of the module disclosed in the foregoing embodiments of the present application may refer to the content of the corresponding method embodiment, which is not described herein again.
Those skilled in the art can make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method for maintenance and management of linen textile, comprising:
constructing a linen textile set based on big data, wherein the linen textile set comprises a plurality of linen textiles;
extracting any one of the plurality of linen textiles, and taking the linen textile as a target linen;
an information acquisition module is built, and the information acquisition module is embedded in the target linen based on a preset embedding scheme;
the information acquisition module is used for acquiring real-time data information of the target linen and transmitting the real-time data information to the information processing module;
analyzing the real-time data information through the information processing module, and judging the real-time state of the target linen according to an analysis result;
analyzing and determining a target application level of the target linen, and generating a standard maintenance scheme according to the target application level;
and according to the standard maintenance scheme, carrying out maintenance management on the target linen in the real-time state.
2. The maintenance management method according to claim 1, wherein the constructing an information acquisition module includes:
constructing a linen quality problem set, wherein the linen quality problem set comprises a plurality of linen quality problems;
extracting any one of the linen quality problems in the linen quality problem set, and taking the linen quality problem as a target linen quality problem;
analyzing the quality problem of the target linen to obtain the nature of the problem;
constructing an intelligent device set based on big data;
aiming at the problem essence, traversing and matching in the intelligent equipment set to obtain target intelligent monitoring equipment, wherein the target intelligent monitoring equipment is used for dynamically monitoring the problem essence;
and constructing the information acquisition module based on the target intelligent monitoring equipment.
3. The maintenance management method according to claim 2, wherein the constructing a set of linen quality problems includes:
collecting quality problems of the appearance of the linen textile to obtain an appearance quality problem set, wherein the appearance quality problem set comprises flooding, uneven coloring and low whiteness;
collecting quality problems of the performance of the linen textile to obtain a performance quality problem set, wherein the performance quality problem set comprises a hair bulb and fiber structure damage;
and constructing the linen quality problem set according to the problems of flooding, uneven coloring, low whiteness, fuzzing ball and fiber structure damage.
4. The maintenance management method according to claim 3, characterized by further comprising:
sequentially analyzing the problems of the flooding color, the uneven coloring, the low whiteness, the fuzzing ball and the fiber structure damage to obtain a problem essence set;
according to the problem essence set, classifying the problems of flooding, uneven coloring, low whiteness and fuzzing balls into image monitoring types, and classifying the problem of fiber structure damage into performance monitoring types;
aiming at the problems of the image monitoring class, a matched image acquisition device is used as the target intelligent monitoring equipment;
aiming at the problems of the performance monitoring type, a wind sensor and a temperature sensor are matched to serve as the target intelligent monitoring equipment;
and constructing the information acquisition module based on the image acquisition device, the wind sensor and the temperature sensor.
5. The maintenance management method according to claim 1, wherein the generating a standard maintenance scheme according to the target application level includes:
performing linen application grade classification based on the condition of the body part directly contacted with the linen, and obtaining a preset application grade classification standard;
obtaining a direct contact part of the target linen and determining the target application grade of the target linen by combining the preset application grade dividing standard;
obtaining the real-time quality problem of the target linen according to the real-time state;
constructing a linen maintenance management database, wherein the linen maintenance management database comprises linen maintenance management schemes with different application grades and different quality problems;
and traversing in the linen maintenance management database to obtain the standard maintenance scheme based on the target application level and the real-time quality problem.
6. The maintenance management method according to claim 4, wherein the obtaining the real-time quality problem of the target linen according to the real-time status includes:
the image acquisition device in the information acquisition module is used for acquiring the image information of the target linen in an omnibearing manner;
performing color feature analysis on the acquired image information to obtain a color feature analysis result;
according to the color characteristic analysis result, sequentially judging whether the target linen has the problems of flooding, uneven coloring, low whiteness and hair bulb forming or not, and respectively obtaining appearance judgment results;
and obtaining the real-time appearance quality problem of the target linen according to the appearance judging result.
7. The maintenance management method according to claim 6, further comprising, after said obtaining the real-time appearance quality problem of the target linen:
the wind force and temperature information of the target linen are collected in an omnibearing way through the wind force sensor and the temperature sensor in the information collection module;
analyzing the collected wind power and temperature information through the information processing module to obtain a performance characteristic analysis result;
judging whether the target linen has the problem of fiber structure damage or not according to the performance characteristic analysis result, and obtaining a performance judgment result;
obtaining the real-time performance quality problem of the target linen according to the performance judgment result;
and forming the real-time quality problem according to the real-time appearance quality problem and the real-time performance quality problem.
8. A maintenance management system for a linen textile, comprising:
the linen textile set construction module is used for constructing a linen textile set based on big data, wherein the linen textile set comprises a plurality of linen textiles;
the target linen extraction module is used for extracting any one linen textile of the plurality of linen textiles and taking the linen textile as a target linen;
the construction module is used for constructing an information acquisition module and embedding the information acquisition module into the target linen based on a preset embedding scheme;
the information acquisition module is used for acquiring real-time data information of the target linen and transmitting the real-time data information to the information processing module;
the information processing module is used for analyzing the real-time data information and judging the real-time state of the target linen according to an analysis result;
the standard maintenance scheme generation module is used for analyzing and determining the target application grade of the target linen and generating a standard maintenance scheme according to the target application grade;
and the maintenance management module is used for carrying out maintenance management on the target linen in the real-time state according to the standard maintenance scheme.
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