Intelligent washing system

Abstract

The invention provides an intelligent washing system, which belongs to the technical field of intelligent washing and comprises a 5G communication module, an intelligent visual identification module, an intelligent clothes tracking module and an intelligent washing experience module. According to the intelligent washing system provided by the invention, efficient operation of each link in the washing process can be ensured through the 5G communication module; precise classification and detection of clothes are realized through the intelligent visual identification module; the transparency and the management efficiency of the washing process are ensured through the intelligent clothes tracking module; the intelligent washing experience module helps the user to know the washing process, so that the intelligent washing system is comprehensively upgraded and optimized by integrating functional modules such as the 5G communication module, the intelligent visual identification module, the intelligent clothes tracking module and the intelligent washing experience module; the intelligent, efficient and personalized washing process is realized, the washing efficiency and the user experience are improved, and more personalized and intelligent services are provided for the user.

Description

Technical Field

[0001] The present invention relates to the technical field of smart laundry, and in particular to a smart laundry system. Background Art

[0002] With the advancement of science and technology and the improvement of people's living standards, the traditional laundry industry is facing the pressure of transformation and upgrading. Most of the existing laundry systems have problems such as low efficiency, poor service experience, and difficulty in information tracing, which cannot meet the needs of users for efficient, convenient, and personalized services. Therefore, developing a new type of intelligent laundry system to meet users' needs for efficient, convenient, and personalized services has important practical significance and application value. Summary of the invention

[0003] The present invention provides an intelligent laundry system to solve the problem that the laundry system in the prior art cannot meet the needs of modern people for efficient, convenient and personalized services.

[0004] In a first aspect, the present invention provides a smart laundry system, including a 5G communication module, an intelligent visual recognition module, an intelligent clothing tracking module, and an intelligent laundry experience module; The 5G communication module is used to realize real-time data transmission and interaction between various data production devices and cloud servers; The intelligent visual recognition module is used to realize the recognition and classification of clothes through the collection and processing of real-time images; The intelligent clothing tracking module is used to implement tracking management of clothing; The smart laundry experience module is used to provide a virtualized laundry experience service.

[0005] In one embodiment, the intelligent visual recognition module includes a clothing recognition unit; The clothing recognition unit is used to obtain image information of clothing, and recognize the clothing based on the image information to obtain a recognition result; the recognition result includes but is not limited to the type, color and degree of stain of the clothing.

[0006] In one embodiment, the intelligent visual recognition module further includes a laundry recommendation unit; The laundry recommendation unit is used to perform matching according to the recognition result and the preset washing matching rule to obtain a target washing program; Based on the target washing program, washing parameters are determined; the washing parameters include but are not limited to washing environment temperature, washing time and detergent dosage.

[0007] In one embodiment, the smart clothing tracking module includes an identification code generation unit; The identification code generating unit is used to generate a corresponding RFID tag or a two-dimensional code for the clothing based on the integrated radio frequency identification RFID technology and the two-dimensional code technology.

[0008] In one embodiment, the smart clothing tracking module further includes a clothing information display unit; The clothing information display unit is used to display clothing information after the user scans the RFID tag or the QR code; the clothing information includes but is not limited to washing history, stain degree and washing progress.

[0009] In one embodiment, the smart clothing tracking module further includes a laundry process display unit; The laundry process display unit is used to display the laundry process of the clothes through video.

[0010] In one embodiment, the smart laundry experience module includes a virtual reality VR laundry experience unit; The VR laundry experience unit is used to provide a virtual environment for users to experience the laundry process.

[0011] In one embodiment, the smart laundry experience module further includes an augmented reality (AR) laundry experience unit; The AR laundry experience unit is used to combine virtual information with the real environment to provide users with an intuitive and vivid laundry experience.

[0012] In one embodiment, the smart laundry system further includes a 5G workshop large-screen display module; The 5G workshop large-screen display module is used to collect the operating data of the washing equipment in real time, and display the operating data through the 5G workshop large-screen.

[0013] In one embodiment, the smart laundry system further includes a laundry quality inspection module; The washing quality inspection module is used to inspect the quality of washing products on the production line using visual inspection technology.

[0014] The smart laundry system provided by the present invention realizes real-time data transmission and interaction between various data production devices and cloud servers through the 5G communication module, which can ensure the efficient operation of each link of the laundry process; realizes the identification and classification of clothes through the intelligent visual recognition module, and realizes accurate classification and detection; realizes the tracking and management of clothes through the intelligent clothing tracking module, and ensures the transparency and management efficiency of the washing process; provides virtualized laundry experience services through the intelligent laundry experience module to help users understand the laundry process. Therefore, the smart laundry system realizes the comprehensive upgrade and optimization of the smart laundry system by integrating functional modules such as 5G communication module, intelligent visual recognition module, intelligent clothing tracking module and intelligent laundry experience module, and realizes the intelligence, efficiency and personalization of the laundry process, which not only improves the laundry efficiency and user experience, but also provides users with more personalized and intelligent services. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a structural schematic diagram of the intelligent washing system provided by the present invention.

[0017] Figure 2 It is a schematic diagram of 5G communication provided by the present invention.

[0018] Figure 3 It is a schematic diagram of the 5G+IIOT+AI technology provided by the present invention.

[0019] Figure 4 It is a schematic diagram of using machine vision analysis to assist washing quality inspection provided by the present invention.

[0020] Figure 5 It is a schematic diagram of the core architecture based on AI machine learning provided by the present invention.

[0021] Figure 6 It is a schematic diagram of various equipment-assisted washing quality inspection provided by the present invention.

[0022] Figure 7 It is a schematic diagram of the machine vision platform provided by the present invention.

[0023] Figure 8 It is a schematic diagram of the whole system quality inspection result dashboard provided by the present invention. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] The terms "first", "second", etc. in the present invention are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention can be implemented in an order other than those illustrated or described herein.

[0026] Combine the following Figure 1-Figure 8 Describe the smart laundry system provided by the present invention.

[0027] Combination Figure 1 , Figure 1 It is a structural schematic diagram of the intelligent washing system provided by the present invention.

[0028] like Figure 1 As shown, the smart laundry system provided by the present invention includes a 5G communication module, an intelligent visual recognition module, an intelligent clothing tracking module, and an intelligent laundry experience module; The 5G communication module is used to realize real-time data transmission and interaction between various data production devices and cloud servers; The intelligent visual recognition module is used to realize the recognition and classification of clothes through the collection and processing of real-time images; The intelligent clothing tracking module is used to implement tracking management of clothing; The smart laundry experience module is used to provide a virtualized laundry experience service.

[0029] Specifically, the smart laundry system integrates a 5G communication module and realizes 5G communication transformation through 5G communication technology. The 5G communication module is used to realize real-time data transmission and interaction between various data production devices and cloud servers, such as laundry equipment, cameras, IoT cards and other data production devices and cloud servers.

[0030] Through the high-speed and low-latency characteristics of 5G, the system can obtain real-time status information of the laundry equipment, process and progress information in the laundry environment, and current status information of the customer's washing objects, including the operating status of the laundry equipment, washing program, remaining time, washing progress, current real-time images or videos of the washing objects, etc. At the same time, it can perform remote control and adjustment according to user needs.

[0031] refer to Figure 2, Figure 2 It is a schematic diagram of 5G communication provided by the present invention. Figure 2 The image / video data of the office, water purification workshop, laundry workshop, and the entrance and exit of the park are transmitted and interacted with the monitoring center through the 5G communication module. Through the camera installed in the office, the real-time video stream is transmitted to the monitoring center to help ensure the safety and efficiency of the office environment. Through the camera installed in the water purification workshop, the production process video data of the water purification workshop is transmitted in real time, so that the monitoring center can instantly observe the equipment operation status, production progress and quality control. Through the camera installed in the laundry workshop, the equipment operation status and environmental conditions of the laundry workshop are transmitted to the monitoring center in real time, so as to adjust the washing plan or deal with equipment failures in time. Through the camera installed at the entrance and exit of the park, the monitoring video data of the entrance and exit is transmitted in real time. The monitoring center can view the situation of people entering and leaving in real time to ensure the safety of the park.

[0032] Before the 5G transformation, the system was faced with high-cost fixed backhaul, inefficient Ethernet power supply, and limited 4G bandwidth. After the 5G transformation, 5G provides flexible wireless access, high bandwidth to ensure high-definition video and fine recognition applications, and cloud-network collaboration to support massive data storage and video AI analysis, greatly improving the efficiency and flexibility of the system. The following describes the pain points before the 5G transformation and the capabilities after the 5G transformation.

[0033] Pain points before 5G transformation: (1) Fixed backhaul costs are high: using video optical transceiver + bare fiber or Xpon + modem, the cost is high and node expansion is inflexible; (2) Power over Ethernet (PoE) has low online rate and high maintenance cost; (3) The existing 4G upload bandwidth is limited and cannot support multi-channel high-definition video applications.

[0034] Capabilities after 5G transformation: (1) Flexible access: wireless mode, video surveillance nodes can be deployed on demand, including mobile surveillance and other modes; (2) High bandwidth guarantee: 5G increases uplink bandwidth to support applications such as high-definition video and more sophisticated visual recognition; (3) Cloud-network collaboration: Cloud service capabilities such as cloud storage and graphics processing units (GPUs) support massive data storage and video artificial intelligence (AI) analysis.

[0035] Furthermore, the smart washing system also integrates an intelligent visual recognition module, which uses 5G communication technology, IIOT (Industrial Internet of Things) technology and AI technology to identify and classify clothes through real-time image collection and processing.

[0036] The intelligent visual recognition module uses the high speed and low latency of 5G to achieve real-time transmission of visual data, and can quickly upload images and video streams of clothing to the processing center to ensure the immediacy and accuracy of the recognition process. The intelligent visual recognition module also uses advanced visual recognition algorithms. AI can efficiently analyze the image data of clothing, perform automatic classification, color recognition, stain detection and other tasks, improve classification accuracy and efficiency, and reduce human intervention. The intelligent visual recognition module also connects with other smart devices and systems through IIOT technology to achieve automated data collection, processing and feedback, and can perform intelligent scheduling and optimization in the clothing processing process to improve overall production efficiency.

[0037] Overall, the intelligent visual recognition module integrates 5G communication technology, IIOT technology and AI technology, which not only improves the efficiency of clothing recognition and classification, but also optimizes the entire production and management process through high bandwidth, intelligent processing and flexible system architecture.

[0038] Furthermore, the smart laundry system also integrates an intelligent clothing tracking module, which is used to accurately track and manage clothing, and visualize the entire laundry process, making the laundry process transparent. The intelligent clothing tracking module combines radio frequency identification (RFID) technology and QR code technology to visualize the consumer's clothing care process, increase customer trust, and at the same time grasp the traffic entrance and supplement it with Internet marketing to increase user stickiness and other income.

[0039] It should be noted that RFID technology uses radio waves to identify and track items. It consists of tags, readers and background systems. Tags have built-in microchips and antennas, and readers communicate with tags through wireless signals. RFID technology supports contactless, fast reading and simultaneous identification of multiple tags, and is widely used in logistics, warehousing and asset management.

[0040] QR code technology is a two-dimensional barcode that contains information in a black and white matrix pattern. QR codes can be read by smartphones or scanners, have high information storage density, and are easy to generate and print. It is widely used in product labels, ticketing and tracking systems to facilitate users to quickly obtain information.

[0041] refer to Figure 3 , Figure 3 It is a schematic diagram of the 5G+IIOT+AI technology provided by the present invention. Figure 3In the process of generating laundry orders, they will be transmitted to 5G smart management. Combining 5G communication, IIOT technology and AI technology, it can monitor the completion of laundry, the operation of washing equipment, the analysis of technicians' behavior and the quality of laundry. IIOT+AI technology can also be used to identify RFID or QR codes, and monitor and inspect the operation of different functional areas such as clothing entry area, sorting area, quality inspection area, ironing area and quality inspection packaging area in real time. If non-compliance is found in quality inspection, an early warning notification will be generated in real time to prompt relevant personnel to re-inspect, repair or replace, so as to ensure the efficiency of production and quality control.

[0042] Furthermore, the smart laundry system also integrates a smart laundry experience module, which combines VR and AR technologies with real-time camera feedback to provide users with virtual laundry experience services and personalized services. In addition, the smart laundry experience module can also use virtual customer service functions to provide laundry tips and maintenance suggestions through virtual customer service to improve user experience and satisfaction.

[0043] In some embodiments, the intelligent visual recognition module includes a clothing recognition unit; The clothing recognition unit is used to obtain image information of clothing, and recognize the clothing based on the image information to obtain a recognition result; the recognition result includes but is not limited to the type, color and degree of stain of the clothing.

[0044] Specifically, the clothing recognition unit obtains image information or video data of clothing through video and image acquisition equipment. Furthermore, based on the image information or video data of clothing, computer vision and machine learning algorithms are used to recognize and analyze clothing. If it is image information of clothing, AI algorithm can be directly used to recognize and analyze clothing. If it is video data of clothing, it is first framed, and then the AI ​​algorithm is used to recognize and analyze the framed image.

[0045] Among them, the recognition results obtained by identifying the clothes include but are not limited to the type, color and degree of stains of the clothes. The type of clothes can be shirts, pants, skirts, etc. The color of clothes can be the main color of the clothes. The degree of stains of clothes can be divided into clean, slightly stained and seriously stained, etc.

[0046] In addition, the clothing recognition unit can also identify the status of the clothing before and after washing through the image information or video data of the clothing, and compare the status of the clothing before and after washing to reflect whether it is washed clean.

[0047] Therefore, the clothing recognition unit uses computer vision and machine learning algorithms to identify and analyze clothing based on the image information or video data of the clothing, which can achieve full-process visual control of the equipment status, washing process and washing quality, and transparent management of the production process.

[0048] In some embodiments, the intelligent visual recognition module further includes a laundry recommendation unit; The laundry recommendation unit is used to perform matching according to the recognition result and the preset washing matching rule to obtain a target washing program; Based on the target washing program, washing parameters are determined; the washing parameters include but are not limited to washing environment temperature, washing time and detergent dosage.

[0049] Specifically, the laundry recommendation unit receives the recognition result of the clothing recognition unit, matches the recognition result with the washing program according to the preset washing matching rules, and obtains the target washing program, wherein the preset washing matching rules are set according to the actual situation, and the preset washing matching rules will associate the type, color and degree of stains of the clothing with the most suitable washing program, such as standard washing, gentle washing, deep cleaning, etc.

[0050] Furthermore, the laundry recommendation unit determines washing parameters based on the target washing program, wherein the washing parameters include but are not limited to washing environment temperature, washing time and detergent dosage, the washing environment temperature is the most suitable water temperature matched according to the material and stain condition of the clothes, the washing time is the washing machine running time set according to the requirements of the washing program, and the detergent dosage is the detergent dosage recommended for use based on the number of clothes, the degree of stains and the washing program.

[0051] Therefore, the laundry recommendation unit matches the corresponding target washing program through the identification results, and washes the clothes according to the washing parameters in the target washing program, thereby optimizing the laundry process, protecting the clothes, saving energy and detergents, and improving the washing effect.

[0052] In some embodiments, the smart clothing tracking module includes an identification code generation unit; The identification code generating unit is used to generate a corresponding RFID tag or a two-dimensional code for the clothing based on the integrated radio frequency identification RFID technology and the two-dimensional code technology.

[0053] Specifically, before clothes enter the laundry factory, the identification code generation unit will generate corresponding RFID tags or QR codes for the clothes based on the integrated RFID technology and QR code technology, and send the RFID tags or QR codes to the user's terminal. Therefore, each piece of clothing is equipped with an RFID tag or QR code, which records the information of the clothing, such as washing history, degree of stains, etc.

[0054] Therefore, the identification code generation unit uses RFID technology and QR code technology to generate RFID tags or QR codes corresponding to the clothes, so that users can obtain relevant information of the clothes and check the washing progress and status of the clothes after scanning the RFID tags or QR codes, thereby visualizing the user's clothing washing process and increasing customer trust. At the same time, it grasps the traffic entrance and uses Internet marketing to increase user stickiness and other income.

[0055] In some embodiments, the smart clothing tracking module further includes a clothing information display unit; The clothing information display unit is used to display clothing information after the user scans the RFID tag or the QR code; the clothing information includes but is not limited to washing history, stain degree and washing progress.

[0056] Specifically, the user can scan the RFID tag or QR code corresponding to the clothing with a terminal. After the user scans the RFID tag or QR code, the clothing information display unit will display the clothing information, wherein the clothing information includes but is not limited to the washing history, the degree of stains, and the washing progress and status. The washing history can record the number of washing times, date, and washing program used in the clothing history. The degree of stains reflects the current or past stain conditions on the clothing. The washing progress reflects the current washing status of the clothing, such as whether washing, rinsing, or dehydration is being performed.

[0057] Therefore, after the user scans the RFID tag or QR code, the clothing information display unit displays the clothing information, which can improve the user's visual understanding of the clothing washing process, enhance the user experience, and provide detailed clothing care records and progress tracking functions.

[0058] In some embodiments, the smart clothing tracking module further includes a laundry process display unit; The laundry process display unit is used to display the laundry process of the clothes through video.

[0059] Specifically, code scanning systems and cameras are installed at the entrance to the factory, the laundry factory, the washing machine, the washing machine, and the laundry factory. For the laundry factory, each washing machine is equipped with a code scanning system and a camera. After the user scans the code, the intelligent clothing tracking module sends the video to the user terminal, and displays the washing process of the clothes through the video. The user can view the real-time data and washing process of the clothes on the terminal. The different stages of washing, such as soaking, stirring, rinsing, etc., can be highlighted in the video, so that the user can clearly understand the progress of each step.

[0060] In addition, the laundry process display unit also allows users to review the history of the laundry process and provide a complete process playback.

[0061] Therefore, the laundry process display unit displays the laundry process of clothes through video. Users can not only monitor the laundry process in real time, but also have a more intuitive understanding of the laundry quality and status, which can enhance users' trust in the laundry equipment.

[0062] In some embodiments, the smart laundry experience module includes a virtual reality VR laundry experience unit; The VR laundry experience unit is used to provide a virtual environment for users to experience the laundry process.

[0063] Specifically, the VR laundry experience unit integrates VR technology to provide users with a virtual environment to experience the laundry process. Users can experience the laundry process in the virtual environment, including selecting washing programs, observing washing effects, etc.

[0064] Therefore, the VR laundry experience unit provides users with a virtual environment to experience the laundry process, so that users can fully understand and experience the laundry process in a virtual environment, increase their familiarity with laundry equipment, improve their operating skills, and be able to handle practical problems more confidently when they encounter them.

[0065] In some embodiments, the smart laundry experience module further includes an augmented reality (AR) laundry experience unit; The AR laundry experience unit is used to combine virtual information with the real environment to provide users with an intuitive and vivid laundry experience.

[0066] Specifically, the AR laundry experience unit integrates AR technology to provide users with an intuitive and vivid laundry experience by combining virtual information with the real environment. That is, virtual information related to laundry (such as operation steps, washing suggestions, washing machine status, etc.) is superimposed on the user's actual field of vision. Users can interact with virtual information in real time and get instant feedback.

[0067] Therefore, the AR laundry experience unit not only improves the intuitiveness of operation but also enhances the user's interactive experience by seamlessly integrating virtual information into the user's real environment, making the laundry process easier and more convenient.

[0068] Furthermore, if Figure 1 As shown, the smart washing system also includes a 5G workshop large-screen display module; The 5G workshop large-screen display module is used to collect the operating data of the washing equipment in real time, and display the operating data through the 5G workshop large-screen.

[0069] Specifically, the 5G workshop large screen will collect the operating data of the washing equipment and production line machines in real time. By displaying the real-time collected operating data of the washing equipment and production line machines on the 5G workshop large screen, it can provide support for the real-time planning and scheduling of the assembly line by the later system platform.

[0070] In addition, the display platform of the entire system can be logged in according to permissions, and both ordinary employees and leaders can customize the data visualization desktop they want. At the same time, this system is also scalable and customizable, and can be flexibly configured and adjusted according to different needs and scenarios.

[0071] It realizes the networking of laundry and other equipment and the collection of operation, energy consumption, laundry time, abnormality, maintenance, offline and other status, as well as the entry and collection of abnormal reasons. On the one hand, workshop managers can easily use computers, mobile phones and central control screens to monitor the operation status of all equipment in the production workshop in real time around the clock and handle abnormalities in a timely manner, thereby realizing visual and transparent management of the laundry workshop and reducing management pressure. On the other hand, by collecting big data analysis from equipment, the factory has the ability to self-learn, and on this basis completes tasks such as optimization of energy consumption, statistics and analysis of laundry equipment operation efficiency, abnormal time, and automatic judgment of laundry production decisions, to achieve predictive maintenance of equipment.

[0072] Furthermore, if Figure 1 As shown, the smart washing system also includes a washing quality inspection module; The washing quality inspection module is used to inspect the quality of washing products on the production line using visual inspection technology.

[0073] Specifically, the washing quality inspection module uses 5G machine vision to assist in washing quality inspection. Figure 4 , Figure 4 This is a schematic diagram of using machine vision analysis to assist in washing quality inspection provided by the present invention. Through cloud-edge-end collaborative computing intelligent infrastructure, an edge quality inspection platform is built, and visual inspection technology is used to achieve intelligent quality inspection of production lines, thereby improving quality stability and quality inspection accuracy. Through cloud training and distribution algorithms and industrial control terminals, the quality inspection needs of various production lines can be met.

[0074] Since machine vision is used for analysis in the washing quality inspection process, the washing quality inspection module is deployed with a core architecture based on AI machine learning. Figure 5 , Figure 5 This is a schematic diagram of the core architecture based on AI machine learning provided by the present invention. Under this core architecture, the detection and recognition speed is very fast, and as the amount of sample learning increases, the algorithm model can be self-expanded to quickly improve the accuracy of detection and recognition.

[0075] In the washing quality inspection process, a variety of on-site equipment is also used to realize automatic image acquisition and visual quality inspection automation. Figure 6 , Figure 6This is a schematic diagram of the various equipment-assisted washing quality inspection provided by the present invention. Through on-site equipment, the inspection process is established at the quality inspection station using 5G on-site control gateways and industrial cameras, light sources, digital / RFID collectors, warning lights and other equipment, and connected to the production line control unit to achieve visual quality inspection automation.

[0076] At the same time, the system also deploys a one-stop private enterprise-level unified AI platform: built-in mainstream AI technology, through end-to-end data, algorithm, computing power management, automated model training and interactive use experience, lowering the threshold for enterprise AI application and realizing the rapid implementation of AI in the entire value chain of the enterprise. Figure 7 , Figure 7 It is a schematic diagram of the machine vision platform provided by the present invention.

[0077] In the process of large-scale industrial production, manual visual inspection of product quality is inefficient and of low precision. Therefore, the use of visual inspection technology to achieve intelligent quality inspection of laundry can improve the accuracy of quality inspection. At the same time, the use of machine vision inspection methods can greatly improve production efficiency and the degree of automation of production. Compared with manual inspection, the accuracy of quality inspection can be improved by at least 25%.

[0078] In addition, the system also deploys a dashboard for the quality inspection results of the entire system. Figure 8 , Figure 8 This is a schematic diagram of the full-system quality inspection result dashboard provided by the present invention. With 5G, the progress of quality inspection work, product qualification rate, and release status can be viewed in real time at each quality inspection station, section, workshop, production office, and central control room. The system has a cockpit function, and the factory manager and corporate executive can see the full picture of quality inspection in real time on their 5G mobile phones.

[0079] Finally, the smart laundry system can also create an e-commerce integrated platform to integrate the data of various existing laundry applications, applets and other independent e-commerce platforms for unified management and operation. The e-commerce integrated platform mainly includes the following aspects.

[0080] (1) Multi-channel: Supports more than 15 different platforms, provides an application programming interface (API), supports access to other different platforms, and realizes multi-platform information integration. Enterprises can quickly deploy e-commerce operation systems through the system and vigorously develop distribution channels.

[0081] (2) Network-wide information release system: real-time view of the entire order status, and support for channel dealers and direct sales dealers to release information across the network.

[0082] (3) Basic product management: It can be added through EXCEL import, interface import, manual creation, etc., and supports batch number management.

[0083] (4) Product promotion management: supports special offers, bundling and other promotional methods, and can directly synchronize data with multiple platforms.

[0084] (5) Order management and after-sales service: manage orders and return orders from multiple channels, as well as overall order statistics functions.

[0085] (6) Channel management: Support each channel to manage its own products and brands, and support the management of agent operators.

[0086] (7) Distribution Center: supports order distribution, review and other functions.

[0087] (8) Financial management: supports various financial-related inquiries such as Alipay reconciliation, express fees, and expense expenditures.

[0088] In summary, the smart laundry system provided by the present invention can effectively assist in visual marketing. For laundry consumers, the three most important aspects of sending clothes for laundry are price, safety, and convenience. Whether the clothes are disinfected in place and safety is guaranteed is the most basic. The second is price and convenience.

[0089] By using the factory's existing network video servers, high-definition cameras, chip readers and writers, and online marketing platforms, the visual marketing function can be realized by increasing the investment to intuitively convey the sense of laundry safety to consumers and increase user stickiness. At the same time, consumers can watch the entire process of washing clothes through mobile applications or computer terminals and observe the dynamics of clothes in real time. In the application, mini-program or public account of Huanxi, click "Washing Traceability", enter the order number, and enter "Visual Washing". You can see several small videos such as factory inspection, pre-washing inspection and classification, classified washing, classified ironing, finished product inspection, automatic sorting, etc., and watch the washing process. Consumers can view the relevant videos of their own washing within a week. Showing the production process to consumers can make consumers feel much more at ease. It can also let more people know that laundry is also a smart industry with technological content.

[0090] Through this close contact with consumers, we can showcase the new face of the laundry industry, conduct formal and popular laundry science education, answer consumers' questions about laundry consumption and laundry skills, and bring world-class laundry services to consumers at "zero distance". At the same time, we can let consumers understand and pay attention to laundry, and build trust with "transparency".

[0091] The smart laundry system provided by the present invention realizes real-time data transmission and interaction between various data production devices and cloud servers through the 5G communication module, which can ensure the efficient operation of each link of the laundry process; realizes the identification and classification of clothes through the intelligent visual recognition module, and realizes accurate classification and detection; realizes the tracking and management of clothes through the intelligent clothing tracking module, and ensures the transparency and management efficiency of the washing process; provides virtualized laundry experience services through the intelligent laundry experience module to help users understand the laundry process. Therefore, the smart laundry system realizes the comprehensive upgrade and optimization of the smart laundry system by integrating functional modules such as 5G communication module, intelligent visual recognition module, intelligent clothing tracking module and intelligent laundry experience module, and realizes the intelligence, efficiency and personalization of the laundry process, which not only improves the laundry efficiency and user experience, but also provides users with more personalized and intelligent services.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart washing system, characterized in that: Including 5G communication module, intelligent visual recognition module, intelligent clothing tracking module, and intelligent laundry experience module; The 5G communication module is used to realize real-time data transmission and interaction between various data production devices and cloud servers; The intelligent visual recognition module is used to realize the recognition and classification of clothes through the collection and processing of real-time images; The intelligent clothing tracking module is used to implement tracking management of clothing; The smart laundry experience module is used to provide a virtualized laundry experience service.

2. The intelligent washing system according to claim 1, characterized in that: The intelligent visual recognition module includes a clothing recognition unit; The clothing recognition unit is used to obtain image information of clothing, and recognize the clothing based on the image information to obtain a recognition result; the recognition result includes but is not limited to the type, color and degree of stain of the clothing.

3. The intelligent washing system according to claim 2, characterized in that: The intelligent visual recognition module also includes a laundry recommendation unit; The laundry recommendation unit is used to perform matching according to the recognition result and the preset washing matching rule to obtain a target washing program; Based on the target washing program, determining washing parameters; The washing parameters include but are not limited to the washing environment temperature, washing time and detergent dosage.

4. The intelligent washing system according to claim 1, characterized in that: The smart clothing tracking module includes an identification code generating unit; The identification code generating unit is used to generate a corresponding RFID tag or a two-dimensional code for the clothing based on the integrated radio frequency identification RFID technology and the two-dimensional code technology.

5. The intelligent washing system according to claim 4, characterized in that: The intelligent clothing tracking module also includes a clothing information display unit; The clothing information display unit is used to display clothing information after the user scans the RFID tag or the QR code; the clothing information includes but is not limited to washing history, stain degree and washing progress.

6. The intelligent washing system according to claim 5, characterized in that: The intelligent clothing tracking module also includes a laundry process display unit; The laundry process display unit is used to display the laundry process of the clothes through video.

7. The intelligent washing system according to claim 1, characterized in that: The smart laundry experience module includes a virtual reality VR laundry experience unit; The VR laundry experience unit is used to provide a virtual environment for users to experience the laundry process.

8. The intelligent washing system according to claim 1, characterized in that: The smart laundry experience module also includes an augmented reality (AR) laundry experience unit; The AR laundry experience unit is used to combine virtual information with the real environment to provide users with an intuitive and vivid laundry experience.

9. The intelligent washing system according to claim 1, characterized in that: The smart washing system also includes a 5G workshop large-screen display module; The 5G workshop large-screen display module is used to collect the operating data of the washing equipment in real time, and display the operating data through the 5G workshop large-screen.

10. The intelligent washing system according to claim 1, characterized in that: The smart washing system also includes a washing quality inspection module; The washing quality inspection module is used to inspect the quality of washing products on the production line using visual inspection technology.

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