Clean clothes integrated management system based on intelligent management platform

Abstract

The invention relates to the technical field of clean clothes workflow management, in particular to a clean clothes comprehensive management system based on an intelligent management platform, which identifies electronic codes of clean clothes through an RFID identification module, and records management information of the clean clothes in the stages of distribution, use, recovery, cleaning and sterilization in the workflow; a clean clothes image is collected before each process sub-stage through a process monitoring module, and a label state is detected by adopting a target detection algorithm; when it is detected that the label deviates or falls off, early warning is triggered; the resource state management module performs anomaly detection based on the information of the cleaning and sterilization stages, and dynamically adjusts the washing threshold value and the expected life of the RFID tag; the visual code tracing module obtains identity information by scanning the visual code on the clean clothes when the RFID tag loses efficacy or falls off. According to the invention, the intelligence and reliability of clean clothes management are obviously improved, and powerful support is provided for accurate tracing and efficient management of the working process.

Description

Technical Field

[0001] The present invention relates to the technical field of clean clothes workflow management, and in particular to a clean clothes integrated management system based on an intelligent management platform. Background Art

[0002] Cleanroom clothing is an important protective equipment for maintaining cleanroom environment. It is widely used in industries with extremely high cleanliness requirements, such as semiconductor manufacturing, pharmaceuticals, biotechnology and food processing. The main function of cleanroom clothing is to isolate operators and prevent particulate matter, microorganisms and static interference released by the human body, thereby ensuring that the production environment meets strict cleanliness standards. Since cleanroom clothing directly affects product quality and production safety, its management covers the entire life cycle from cleaning, sterilization, distribution, use to recycling, and its cleanliness and functional reliability must be ensured.

[0003] With the advancement of smart management technology, technologies such as the Internet of Things, big data, and cloud computing have been gradually applied to various industries, providing new solutions for cleanroom clothing management. By embedding the first RFID tag or barcode and other Internet of Things identification technologies on cleanroom clothing, combined with automated data collection equipment, digital and intelligent management of the entire life cycle of cleanroom clothing can be achieved. This method can record and track the use, cleaning, disinfection, and circulation of cleanroom clothing in real time, and integrate the data through a unified smart management platform, providing strong data support for quickly locating problems and optimizing decisions.

[0004] Although the existing clean clothes management system based on RFID technology has achieved certain results in automatically identifying and tracking clean clothes, the existing smart management platform for clean clothes often relies too much on RFID laundry tags. However, RFID laundry tags have problems of failure and falling off in actual use. Once the tag is damaged or falls off, the clean clothes cannot be accurately identified and tracked in key links such as washing, distribution and recycling, thereby reducing the reliability of clean clothes management and increasing the difficulty of tracing pollution incidents or quality problems.

[0005] Therefore, a comprehensive clean clothing management system based on intelligent management platform is proposed. Summary of the invention

[0006] The purpose of the present invention is to provide a comprehensive clean clothing management system based on a smart management platform, including an RFID identification module, a process monitoring module, a resource status management module, a visual coding tracing module and an early warning module. The RFID identification module is used to identify the RFID tag on the clean clothing and record its management information; the process monitoring module determines the status of the RFID tag through a target detection algorithm, including normal, offset or detached, and triggers an early warning when the tag is offset or detached; the resource status management module dynamically adjusts the washing threshold and expected life of the RFID tag through abnormal cleaning and sterilization results; the visual coding tracing module obtains the clean clothing identity information by scanning the visual code when the RFID tag fails or falls off, and supports binding a new tag; the early warning module generates abnormal early warning prompts and synchronizes them to the management platform. The system realizes closed-loop management and precise traceability of the entire life cycle of clean clothing, significantly improving the reliability and intelligence level of management.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A comprehensive clean clothing management system based on an intelligent management platform, including:

[0009] An RFID identification module, used to identify the electronic code of the first RFID tag on the designated clean clothes, and record the management information of the designated clean clothes in the clean clothes management process;

[0010] A process monitoring module is used to collect the image of the designated clean clothes before each sub-stage of the clean clothes management process to obtain a clean clothes status image; detect the clean clothes status image through a target detection algorithm to determine whether the first RFID tag is located at the first designated position of the designated clean clothes, and obtain a detection result, wherein the detection result includes a normal label, a label offset, and a label falling off; when the detection result is that the label is offset or the label falls off, record abnormal information and trigger a label abnormal status warning;

[0011] a resource status management module, configured to obtain the number of washing times and the service life of the first RFID tag; perform abnormality detection on the cleaning information and sterilization information of the first RFID tag, and if an abnormality is identified, adjust the first washing threshold and the first expected life of the first RFID tag according to the abnormal cleaning result and the abnormal sterilization result to obtain a second washing threshold and a second expected life; and trigger a tag failure warning if the number of washing times reaches the second washing threshold or the service life reaches the second expected life;

[0012] The visual coding tracing module is used to scan the visual code on the second designated position of the designated clean clothes when the first RFID tag fails or falls off, so as to obtain the identity information of the designated clean clothes.

[0013] Furthermore, the management information includes: distribution information, usage information, recycling information, cleaning information and sterilization information.

[0014] Furthermore, the sub-stages of the clean clothing management process include: a distribution stage, a use stage, a recycling stage, a cleaning stage and a sterilization stage.

[0015] Furthermore, the first RFID tag is specifically:

[0016] The first RFID tag stores the management information of all the sub-stages in the clean clothing management process; the management information is written into the electronic storage unit of the first RFID tag through the RFID identification module when each sub-stage is completed, and the management information is synchronized to the database.

[0017] Furthermore, before each sub-stage of the clean clothes management process, the image of the designated clean clothes is collected to obtain the clean clothes status image, including:

[0018] A positioning fixture is used to align the designated area of ​​the designated clean clothes with a preset image acquisition frame; the positioning fixture has a position marking function for guiding the placement of the designated clean clothes.

[0019] Further, the clean clothes state image is detected by the target detection algorithm to determine whether the first RFID tag is located at the first designated position of the designated clean clothes:

[0020] The YOLO-NAS model is used to perform target detection on the clean service status image to obtain the bounding box coordinates of the first RFID tag; the bounding box coordinates are compared with the reference coordinates of the first designated position; when the bounding box coordinates are completely within the range of the reference coordinates, it is judged that the detection result of the clean service status image is that the tag is normal; when the bounding box coordinates do not completely fall within the range of the reference coordinates, it is judged that the detection result of the clean service status image is that the tag is offset; when the first RFID tag is not detected, it is judged that the detection result of the clean service status image is that the label has fallen off.

[0021] Furthermore, adjusting the first washing threshold and the first life expectancy of the first RFID tag according to the abnormal cleaning result and the abnormal sterilization result is specifically:

[0022] The abnormal cleaning result includes the cleaning temperature, cleaning agent concentration and cleaning time in the most recent cleaning operation, and the cleaning abnormality impact factor is calculated; the calculation formula of the cleaning abnormality impact factor is:

[0023]

[0024] Among them, I c is the cleaning abnormality influencing factor; and are the influence weights of the cleaning temperature, the cleaning agent concentration and the cleaning time respectively; T c 、c c and t c are the cleaning temperature, the cleaning agent concentration and the cleaning time, respectively, and are the target cleaning temperature, target cleaning agent concentration and target cleaning time respectively; ΔT c is the cleaning temperature deviation; Δc c is the concentration deviation of the cleaning agent; Δt c is the cleaning time deviation; max() is the function of taking the maximum value;

[0025] The abnormal sterilization result includes the sterilization temperature, sterilization pressure and sterilization time in the most recent sterilization operation; the sterilization abnormality impact factor is calculated; the calculation formula of the sterilization abnormality impact factor is:

[0026]

[0027] Among them, I s is the sterilization abnormality influencing factor; and are the influence weights of the sterilization temperature, the sterilization pressure and the sterilization time respectively; T s , P s and t s are the sterilization temperature, the sterilization pressure and the sterilization time, respectively, and are the target sterilization temperature, target sterilization pressure and target sterilization time respectively; ΔT s is the sterilization temperature deviation; ΔP s is the sterilization pressure deviation; Δt s It is the sterilization time deviation;

[0028] According to the abnormal cleaning influencing factor and the abnormal sterilization influencing factor, adjusting the first washing threshold and the first expected life of the first RFID tag to obtain the second washing threshold and the second expected life;

[0029] The calculation formula of the second washing threshold is:

[0030] T new =T orig ·(ta·I c -b·I s );

[0031] Among them, T new is the second washing threshold; T orig is the first washing threshold; a is the influence weight of the cleaning abnormality influencing factor on the second washing threshold, and b is the influence weight of the sterilization abnormality influencing factor on the second washing threshold;

[0032] The calculation formula for the second life expectancy is:

[0033] L new =L orig ·(tc·I c -d·I s );

[0034] Among them, L new is the second life expectancy; L orig is the first expected life; c is the influence weight of the cleaning abnormality influencing factor on the second expected life, and d is the influence weight of the sterilization abnormality influencing factor on the second expected life.

[0035] Furthermore, the clean clothing integrated management system also includes:

[0036] The warning module is used to receive the label abnormal state warning and / or the label expiration warning, generate corresponding warning prompt information, and synchronize the warning prompt information to the management platform.

[0037] Furthermore, the visual coding is specifically:

[0038] The visual code is consistent with the electronic code in the first RFID tag chip; the visual code is engraved on the second designated position of the designated clean clothes in a laser engraving manner.

[0039] Furthermore, scanning the visual code at the second designated position of the designated clean clothes to obtain the identity information of the designated clean clothes further includes:

[0040] A second RFID tag is bound according to the identity information, and the second RFID tag is sewn to the first designated position of the clean clothes. At the same time, the electronic code of the second RFID tag is re-associated with the visual code and updated to the database.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1. The present invention effectively ensures that the status of clean clothes before each stage of operation is accurate and controllable by performing visual inspection and RFID identification before each sub-stage of the clean clothes management process, avoiding subsequent process management errors or information transmission interruptions caused by label offset, shedding or failure; at the same time, the resource status management module dynamically adjusts the washing threshold and expected life of the label based on the abnormal data collected during the cleaning and sterilization process, so as to timely warn when the label reaches the life limit or abnormalities accumulate, reducing the management risk caused by label failure; at the same time, the visual coding traceability module provides a backup identity recognition mechanism when the RFID tag fails or falls off, ensuring the continuity of the management process and the accurate traceability of the clean clothes identity; the system as a whole improves the accuracy and reliability of clean clothes management, significantly reduces the quality problems or pollution risks caused by management loopholes, and meets the strict requirements of high cleanliness scenarios for full-process closed-loop management.

[0043] 2. The present invention uses the YOLO-NAS model to perform target detection on the clean clothing status image, accurately obtains the bounding box coordinates of the first RFID tag, and compares it with the reference coordinate range. It can timely detect the label status after each management stage is completed and before the next stage begins, including whether it is normal, offset or detached, thereby realizing dynamic monitoring and closed-loop management of the entire life cycle of clean clothing. Even in the case of label offset or detachment, the system can respond in time through the early warning mechanism, and accurately identify the identity information of the clean clothing in combination with the visual coding traceability module to ensure the continuity of the management process. At the same time, all test results, abnormal information and processing records are updated and stored in real time, realizing the traceability of the entire process of clean clothing, avoiding quality problems caused by information loss or management interruption, and greatly improving the reliability and intelligence level of the clean clothing comprehensive management system.

[0044] 3. The present invention realizes precise control of the washing threshold and expected life of RFID tags by introducing a dynamic adjustment mechanism of abnormal cleaning influencing factors and abnormal sterilization influencing factors. By real-time calculation of the deviation of cleaning temperature, cleaning agent concentration, cleaning time, sterilization temperature, sterilization pressure and sterilization time, the impact of the cleaning and sterilization process on the performance of the tag is quantified to ensure that the washing threshold and expected life can be adjusted in time under abnormal operation conditions to avoid premature failure or performance degradation of the tag due to improper cleaning or sterilization. This method not only improves the robustness and reliability of the clean clothing management system, but also extends the actual use cycle of RFID tags, and reduces the management cost and efficiency problems caused by excessive frequency of tag replacement. At the same time, through the quantitative evaluation of the impact of cleaning and sterilization abnormalities, the refined and intelligent management of the clean clothing management system is realized, which significantly improves the overall management level and traceability. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1This is a structural diagram of a clean clothes integrated management system based on a smart management platform proposed in an embodiment of the present invention;

[0046] Figure 2 A flow chart of the life cycle management of clean clothes proposed in an embodiment of the present invention;

[0047] Figure 3 Detailed process of closed-loop management of clean clothes proposed in the embodiment of the present invention Figure 1 ;

[0048] Figure 4 Detailed process of closed-loop management of clean clothes proposed in the embodiment of the present invention Figure 2 . DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0050] See also Figures 1 to 4 The present invention provides a comprehensive clean clothing management system based on a smart management platform, and the technical solution is as follows:

[0051] Embodiment 1

[0052] Company A has applied a comprehensive clean clothing management system, which is based on the identity identification tags (RFID tags) of clean clothing. The intelligent system uses the built-in RFID tags of clean clothing to manage the access rights of staff to the clean area, monitor the number of times the clean clothing is cleaned and sterilized, and accurately manage the service life. At the same time, it comprehensively records and tracks the data from the distribution and use stages.

[0053] The system can synchronously record and save the number and content of each RFID identification, and upload the data to the database, so that users can query the number of cleaning and sterilization times of clean clothes. At the same time, the system can also record the distribution and use information of clean clothes, including the distribution objects and the actual users, to achieve full process management and traceability. The system consists of software (smart management platform) and hardware.

[0054] The hardware components are as follows: RFID laundry tags, RFID desktop computers, RFID tablet industrial computers and RFID mobile scanners (scanning guns). Among them, RFID laundry tags are generally sewn on the sleeves of clean clothes and used with clean clothes. RFID desktop computers are used for registration and change of scrapping of work clothes, and are used in conjunction with computers. RFID tablet industrial computers are used in conjunction with desktop computers. RFID mobile scanners are used for sending and receiving scans, with a scanning speed of 10 seconds / 50 pieces of clothing, and are used in conjunction with handheld APPs.

[0055] The technical principle of the smart management platform is to sew an RFID chip tag into each clean suit, and use an RFID scanning system (terminal devices such as RFID mobile terminals, RFID face machines and RFID channels) to perform batch scanning without unpacking or contact to achieve the management of key processes (distribution, use, recycling, cleaning and sterilization).

[0056] like Figure 2 As shown in the figure, the whole life cycle of clean clothes management includes the distribution stage, use stage, recycling stage, cleaning stage and sterilization stage; specifically, the life cycle of clean clothes starts from the distribution stage, and after use, recycling, cleaning and sterilization, the clean clothes finally enter the distribution stage for use again. Each clean clothes after sterilization will return to the distribution stage, forming a circular chain. This model ensures the continuous use of clean clothes in the clean room, while maintaining high quality standards through monitoring at each link.

[0057] A comprehensive cleanroom clothing management system based on a smart management platform, such as Figure 1 As shown, including:

[0058] The RFID identification module is used to identify the electronic code of the first RFID tag on the designated clean clothes and record the management information of the designated clean clothes in the clean clothes management process; the management information includes: distribution information, use information, recycling information, cleaning information and sterilization information.

[0059] This application records the distribution information, usage information, recycling information, cleaning information and sterilization information of clean clothes in the management process in real time by identifying the electronic code of the first RFID tag on the clean clothes, and builds a complete data chain for the entire life cycle of clean clothes. It realizes accurate tracking and information synchronization of clean clothes in each link, ensuring the transparency and traceability of the management process. When an abnormality or contamination incident occurs, the source of the problem can be quickly located and effective measures can be taken, which effectively improves the reliability, efficiency and intelligence level of clean clothes management, while meeting the strict requirements of high cleanliness environment for management accuracy.

[0060] The first RFID tag stores the management information of all the sub-stages in the clean clothing management process, including distribution information after the distribution stage, usage information after the use stage, recycling information after the recycling stage, cleaning information after the cleaning stage, and sterilization information after the sterilization stage. The management information is written into the electronic storage unit of the first RFID tag through the RFID identification module when each sub-stage is completed, and the management information is synchronized to the database. The integrity and real-time management of the entire life cycle of clean clothing is ensured, so that management information can be accurately recorded and updated at each stage, avoiding the risk of information loss or omission. Through real-time synchronization of data, the system can quickly query and track the use of clean clothing in each link, providing comprehensive and reliable support for exception handling, quality traceability and decision optimization.

[0061] The process monitoring module is used to collect the image of the designated clean clothes before each sub-stage of the clean clothes management process to obtain the clean clothes status image; further, collecting the image of the designated clean clothes before each sub-stage of the clean clothes management process to obtain the clean clothes status image includes:

[0062] A positioning fixture is used to align the designated area of ​​the designated clean clothes with a preset image acquisition frame; the positioning fixture has a position marking function, which is used to guide the placement of the designated clean clothes. The present invention ensures the consistency and standardization of image acquisition by capturing images of clean clothes before each sub-stage of the clean clothes management process, and using a positioning fixture to accurately align the designated area of ​​the clean clothes. The positioning fixture is designed with a position marking function, which can effectively guide the correct placement of clean clothes and avoid detection errors caused by improper placement. This solution significantly improves the accuracy and stability of visual inspection, ensures high-precision monitoring of the status of clean clothes before the start of each stage, helps to promptly detect problems such as label offset or shedding, and further enhances the reliability and intelligence level of the management process.

[0063] The sub-stages of the clean clothes management process include: distribution stage, use stage, recycling stage, cleaning stage and sterilization stage. The clean clothes status image is detected by the target detection algorithm to determine whether the first RFID tag is located at the first designated position of the designated clean clothes, and the detection result is obtained, and the detection result includes normal label, label offset and label detachment; when the detection result is that the label is offset or the label is detached, the abnormal information is recorded and the abnormal label status warning is triggered; the first designated position specifically refers to the predefined area on the clean clothes for fixing the first RFID tag, which is generally the cuff, collar or other position of the clean clothes that is easy to detect and does not affect the function of the clean clothes. In this embodiment, the first designated position is the left cuff of the clean clothes. The present invention completely covers the key links of the entire life cycle of clean clothes by dividing the clean clothes management process into the distribution stage, use stage, recycling stage, cleaning stage and sterilization stage, ensuring that the information of each stage can be accurately recorded and tracked. This full-process management method realizes closed-loop control and refined operation of clean service management. It can promptly discover and resolve abnormal problems at each stage, avoid risks caused by missing information or management interruption in a certain link, and significantly improve the reliability and overall efficiency of clean service management.

[0064] Further, the clean clothes state image is detected by the target detection algorithm to determine whether the first RFID tag is located at the first designated position of the designated clean clothes:

[0065] The YOLO-NAS model is used to perform target detection on the clean service status image to obtain the bounding box coordinates of the first RFID tag; the bounding box coordinates are compared with the reference coordinates of the first designated position; when the bounding box coordinates are completely within the range of the reference coordinates, it is judged that the detection result of the clean service status image is that the tag is normal; when the bounding box coordinates do not completely fall within the range of the reference coordinates, it is judged that the detection result of the clean service status image is that the tag is offset; when the first RFID tag is not detected, it is judged that the detection result of the clean service status image is that the label has fallen off.

[0066] The status image of the clean clothes for each inspection also needs to be stored in the tag to record the status information of the clean clothes at a specific inspection time point, and the image is bound to the corresponding RFID tag to form a complete data association to ensure the visual tracking of the status of the clean clothes. This image recording method provides an intuitive verification basis for the management process of clean clothes, so that the status of each inspection can be clearly presented through images, and a time series usage record is formed to facilitate management and analysis within the system.

[0067] Through the above method, high-precision detection of the position of the RFID tag in the clean clothing status image can be achieved. The target detection capability of the YOLO-NAS model can be used to quickly and accurately locate the bounding box coordinates of the RFID tag and compare them with the reference coordinates. This method can efficiently determine whether the status of the RFID tag is normal, whether it is offset or detached, thereby ensuring the standardization and reliability of clean clothing during management and use. Compared with traditional manual detection or inefficient algorithms, this method not only improves the detection accuracy and speed, but also effectively reduces human errors. At the same time, the automated detection process can significantly improve the intelligence level of the clean clothing management system, provide more reliable data support for the entire life cycle management, and ensure the safety and traceability of clean clothing in a high-clean environment.

[0068] a resource status management module, configured to obtain the number of washing times and the service life of the first RFID tag; perform abnormality detection on the cleaning information and sterilization information of the first RFID tag, and if an abnormality is identified, adjust the first washing threshold and the first expected life of the first RFID tag according to the abnormal cleaning result and the abnormal sterilization result to obtain a second washing threshold and a second expected life; and trigger a tag failure warning if the number of washing times reaches the second washing threshold or the service life reaches the second expected life;

[0069] In the initial setting, the expected number of washes for the first RFID tag is 200 times and the expected service life is 2 years, based on standard conditions of a regular washing environment.

[0070] Furthermore, adjusting the first washing threshold and the first life expectancy of the first RFID tag according to the abnormal cleaning result and the abnormal sterilization result is specifically:

[0071] The abnormal cleaning result includes the cleaning temperature, cleaning agent concentration and cleaning time in the most recent cleaning operation, and the cleaning abnormality impact factor is calculated; the calculation formula of the cleaning abnormality impact factor is:

[0072]

[0073] Among them, I c is the cleaning abnormality influencing factor; and are the influence weights of the cleaning temperature, the cleaning agent concentration and the cleaning time respectively; T c 、c c and t c are the cleaning temperature, the cleaning agent concentration and the cleaning time, respectively, and are the target cleaning temperature, target cleaning agent concentration and target cleaning time respectively; ΔT cis the cleaning temperature deviation; Δc c is the concentration deviation of the cleaning agent; Δt c is the cleaning time deviation; max() is a function that takes the maximum value; in this embodiment, the target cleaning temperature, target cleaning agent concentration and target cleaning time are respectively the preset standard cleaning temperature, standard cleaning agent concentration and standard cleaning time.

[0074] Specifically, when The deviation is zero when Deviation occurs only when the cleaning temperature exceeds the target range. c and Δt c The calculation of is similar.

[0075] The abnormal sterilization result includes the sterilization temperature, sterilization pressure and sterilization time in the most recent sterilization operation; the sterilization abnormality impact factor is calculated; the calculation formula of the sterilization abnormality impact factor is:

[0076]

[0077] Among them, I s is the sterilization abnormality influencing factor; and are the influence weights of the sterilization temperature, the sterilization pressure and the sterilization time respectively; T s , P s and t s are the sterilization temperature, the sterilization pressure and the sterilization time, respectively, and are the target sterilization temperature, target sterilization pressure and target sterilization time respectively; ΔT s is the sterilization temperature deviation; ΔP s is the sterilization pressure deviation; Δt s It is the sterilization time deviation;

[0078] Specifically, when the cleaning parameters (such as temperature, concentration and time) and sterilization parameters (such as temperature, pressure and time) are lower than or equal to the target value, it means that the cleaning operation is within the design range and will not cause additional loss to the life of the label or the washing threshold, so the deviation is zero; when the cleaning parameters exceed the target value, it means that the cleaning conditions have imposed an additional burden on the label, and the deviation will be calculated. For this reason, the use of a maximum value function can ensure that a positive value is returned only when the parameter exceeds the standard, while ignoring negative values, which is more in line with the actual operation logic. This method measures the impact of different cleaning conditions on label durability through a unified evaluation method, ensuring the scientificity and consistency of the calculation method.

[0079] In this embodiment, the target sterilization temperature, target sterilization pressure and target sterilization time are respectively the preset standard sterilization temperature, standard sterilization pressure and standard sterilization time.

[0080] According to the abnormal cleaning influencing factor and the abnormal sterilization influencing factor, adjusting the first washing threshold and the first expected life of the first RFID tag to obtain the second washing threshold and the second expected life;

[0081] The calculation formula of the second washing threshold is:

[0082] T new =T orig ·(ta·I c -b·I s );

[0083] Among them, T new is the second washing threshold; T orig is the first washing threshold; a is the influence weight of the cleaning abnormality influencing factor on the second washing threshold, and b is the influence weight of the sterilization abnormality influencing factor on the second washing threshold;

[0084] The calculation formula for the second life expectancy is:

[0085] L new =L orig ·(tc·I c -d·I s );

[0086] Among them, L new is the second life expectancy; L orig is the first expected life; c is the influence weight of the cleaning abnormality influencing factor on the second expected life, and d is the influence weight of the sterilization abnormality influencing factor on the second expected life.

[0087] In this embodiment, the first washing threshold and the first life expectancy are reference parameters before the start of the current cleaning or sterilization cycle, respectively indicating the upper limit of the cumulative number of washes and the expected service life (time) that the RFID tag can withstand before the current cycle. These two parameters are based on the dynamic adjustment results of the previous cycle of the tag, and are used to evaluate the durability and usability of the tag in the current cycle. The second washing threshold and the second life expectancy are updated parameters obtained by dynamic adjustment based on the operating conditions and abnormal factors of this cycle after the current cleaning or sterilization cycle is completed, and serve as the first washing threshold and the first life expectancy of the next round, respectively indicating the upper limit of the number of washes and the expected service life that can be tolerated in the next round. Among them, a round refers to the execution Figure 2A complete cycle management process of all stages shown in (including cleaning stage, sterilization stage, distribution stage, use stage and recycling stage).

[0088] Through the above method, the washing threshold and expected life of the RFID tag are dynamically adjusted according to the influence of abnormal factors in the cleaning and sterilization process, which can more accurately reflect the state changes of clean clothes in actual use. By calculating the abnormal influencing factors of cleaning and sterilization, the deviations of cleaning temperature, detergent concentration, cleaning time, sterilization temperature, sterilization pressure and sterilization time are quantified as specific impacts on the life and tolerance of clean clothes, making the adjustment process more scientific and reasonable. This data-driven adjustment mechanism can effectively avoid the problem of premature performance degradation or inaccurate life estimation of clean clothes due to abnormal operations, significantly improve the use efficiency and management accuracy of clean clothes, and reduce resource waste and potential safety risks.

[0089] The visual coding traceability module is used to scan the visual code (visible code) on the second designated position of the designated clean clothes when the first RFID tag fails or falls off, so as to obtain the identity information of the designated clean clothes; the second designated position specifically refers to the predefined area where the visual code is engraved on the clean clothes, which is usually located on the inside of the cuffs, the inside of the collar or other locations that are not easy to wear and easy to scan. In this embodiment, the second designated position is located on the inside of the collar of the clean clothes. As another specific implementation method of the present invention, the second designated position can also be the chip surface of the first RFID tag; the visual code is used for identification when the first RFID tag fails.

[0090] Furthermore, the visual coding is specifically:

[0091] The visual code is consistent with the electronic code in the first RFID tag chip; the visual code is engraved on the second designated position of the designated clean clothes by laser engraving. This method realizes the visualization of information and the high durability of identification. The introduction of visual coding not only provides a backup identification method in the event of RFID tag failure, RFID tag detachment or equipment unavailability, but also enables the clean clothes to be quickly identified through visual equipment, thereby improving management efficiency. At the same time, the laser engraving method ensures that the code is still clearly visible under harsh conditions such as repeated cleaning and sterilization, thereby enhancing the anti-counterfeiting ability and traceability of clean clothes, and providing reliable protection for the safety management of highly clean places.

[0092] Furthermore, scanning the visual code at the second designated position of the designated clean clothes to obtain the identity information of the designated clean clothes further includes:

[0093] A second RFID tag (new RFID tag) is bound according to the identity information, and the second RFID tag is sewn to the first designated position (left cuff) of the clean clothes, and the electronic code of the second RFID tag is re-associated with the visual code and updated to the database. The identity information includes the full-process management information of the designated clean clothes recorded in history, including historical distribution information, historical usage information, historical recycling information, historical cleaning information and historical sterilization information. By scanning the visual code of the second designated position of the clean clothes, its identity information is obtained and bound to a new RFID tag, and the new electronic code is associated with the visual code and updated to the database, the seamless connection of the identity information and data integrity maintenance of the clean clothes after the RFID tag is replaced are achieved. This method not only ensures the continuous tracking of the full-process management information of the clean clothes and the complete retention of historical records, but also improves the flexibility and reliability of the system. In the case of damage or replacement of the RFID tag, the digital management status of the clean clothes can be quickly restored to avoid management interruptions or misoperations caused by information loss, and effectively improve the efficiency and accuracy of the life cycle management of the clean clothes.

[0094] The clean clothes integrated management system also includes an early warning module, which is used to receive the label abnormal state warning and / or the label expiration warning, generate corresponding early warning prompt information, and synchronize the early warning prompt information to the management platform.

[0095] The early warning module generates early warning prompts and synchronizes them to the management platform by monitoring the abnormal status or failure of the label in real time, so as to achieve early detection and timely response to potential problems. This mechanism effectively prevents management interruptions, data loss or incomplete clean clothing tracking caused by label abnormalities, ensuring the continuity and stability of system operation. At the same time, the early warning module can reduce safety hazards, prevent the incorrect use or allocation of clean clothing due to label failure, and improve the reliability of clean clothing management. In addition, by combining early warning information with full-process management data, the system can record a complete abnormal log to provide data support for problem tracing and management optimization. The automation and intelligence of the early warning module significantly improve management efficiency, reduce the manual burden, and ensure that clean clothing management is more efficient, safe and controllable.

[0096] The present invention realizes the closed-loop management and traceability of the whole process of clean clothes management through the organic combination of RFID identification module, process monitoring module, resource status management module, visual coding tracing module and early warning module. By performing detection before each sub-stage of the clean clothes management process, it is ensured that the status of the RFID tag is verified in time before the start of each key link. It effectively solves the problem of subsequent process information interruption or wrong transmission caused by label offset, shedding or failure in the traditional management system. Through the process monitoring module, the clean clothes status image is collected before each stage and the target detection is performed, and the RFID tag is judged in time whether it is normal, which helps to quickly find abnormalities and trigger early warnings before the problem spreads to the next link, ensuring the continuity and accuracy of management. The resource status management module dynamically adjusts the washing threshold and expected life, extends the service life of the label, and reduces the failure risk caused by abnormal cleaning or sterilization conditions; the visual coding tracing module provides a reliable backup identification means for label failure or shedding, ensuring the integrity of the clean clothes identity information and the continuity of the management process; at the same time, the early warning module actively synchronizes abnormal information for fast response processing. The system as a whole improves the reliability, accuracy and intelligence level of clean clothes management, significantly optimizes management efficiency and reduces risks.

[0097] Embodiment 2

[0098] When using the smart management platform to manage clean clothes, Company B uses RFID tags to record and track cleaning, sterilization, distribution, and usage information. However, in actual operation, RFID tags frequently fall off or become ineffective during the cleaning and sterilization stages, resulting in the inability to fully trace information in the subsequent management process, causing management chaos in the distribution, use, and recycling of clean clothes, and seriously affecting the reliability and operational efficiency of the system. This problem not only increases the complexity of management work, but also brings hidden dangers to the quality control and safety of clean clothes. To this end, Company B applied a comprehensive clean clothes management system based on a smart management platform, see Figure 1 ,include:

[0099] An RFID identification module, used to identify the electronic code of the first RFID tag on the designated clean clothes, and record the management information of the designated clean clothes in the clean clothes management process;

[0100] A process monitoring module is used to collect the image of the designated clean clothes before each sub-stage of the clean clothes management process to obtain a clean clothes status image; detect the clean clothes status image through a target detection algorithm to determine whether the first RFID tag is located at the first designated position of the designated clean clothes, and obtain a detection result, wherein the detection result includes a normal label, a label offset, and a label falling off; when the detection result is that the label is offset or the label falls off, record abnormal information and trigger a label abnormal status warning;

[0101] Specifically, by fixing the clean clothes uniformly at a preset standard position during the image acquisition stage, it is ensured that the clean clothes are placed consistently during each image acquisition. Specifically, a positioning fixture or a fixing device is used to align the main area of ​​the clean clothes with the preset image acquisition frame, so that the collected image always covers the first designated position; the fixing device has a position marking function, which is used to guide the correct placement of the clean clothes and ensure that the image acquisition range of the process monitoring module remains consistent, thereby avoiding detection errors caused by changes in the position of the clean clothes.

[0102] a resource status management module, configured to obtain the number of washing times and the service life of the first RFID tag; perform abnormality detection on the cleaning information and sterilization information of the first RFID tag, and if an abnormality is identified, adjust the first washing threshold and the first expected life of the first RFID tag according to the abnormal cleaning result and the abnormal sterilization result to obtain a second washing threshold and a second expected life; and trigger a tag failure warning if the number of washing times reaches the second washing threshold or the service life reaches the second expected life;

[0103] The visual coding tracing module is used to scan the visual code on the second designated position of the designated clean clothes when the first RFID tag fails or falls off, so as to obtain the identity information of the designated clean clothes.

[0104] The warning module is used to receive the label abnormal state warning and / or the label expiration warning, generate corresponding warning prompt information, and synchronize the warning prompt information to the management platform.

[0105] Specifically, when the label abnormal state warning is received, a label abnormal state prompt message is generated to prompt the operator to check and adjust the physical position and fixing method of the first RFID label, and record the time of the warning event, the clean clothes ID and the abnormal state; when the label failure warning is received, a label failure prompt message is generated to prompt the operator to immediately replace the first RFID label, and synchronize the new label (second RFID label) information to the management platform;

[0106] Figure 3 and Figure 4 Together, they form a complete flow chart for closed-loop management of clean clothing. Figure 3 The upper part of the detailed flow chart of the closed-loop management of clean clothes provided in the embodiment of the present invention mainly shows the specific operation process from the distribution stage to the recycling stage. Figure 4 The lower part of the detailed flow chart of the closed-loop management of clean clothes provided by the embodiment of the present invention mainly shows the detailed operation process of the cleaning stage and the sterilization stage. Figure 4 The initial process of taking over Figure 3"Write the recycling information and tag status detection information into the storage unit of the RFID tag" in the end process (write the recycling information and tag status detection information into the storage unit of the RFID tag) is connected to Figure 3 The clean clothes distribution (starting the next round of clean clothes distribution) fully reflects the closed-loop management logic. In the whole process, information is written into the RFID tag storage unit in an appended manner.

[0107] In this embodiment, Company B conducted a set of comparative experiments to evaluate the improvement effect of the new system. The experiment used two groups of clean service management processes under the same conditions for comparison: the first group was managed using the original intelligent management platform, and the second group was managed using the clean service comprehensive management system based on the intelligent management platform proposed in this application. The main functions of the original intelligent management platform include identity registration and information entry of clean service, cleaning and sterilization record management, full life cycle process management, flow control and authority management, and exception handling modules. The experimental content includes monitoring and statistics of RFID tag retention rate, data traceability integrity and management efficiency in the cleaning, sterilization, distribution, use and recycling links. See Table 1 for the experimental results.

[0108] Table 1 Quantitative comparison of key indicators before and after optimization of the smart management platform

[0109]

[0110] The experimental results show that by introducing the improved clean service integrated management system, all key indicators have been significantly optimized compared with the original intelligent management platform. The number of management chaos events has been reduced from 15 times per month to 11 times, a decrease of about 27%; the number of unnecessary label replacements has been reduced from 30 to 5, a reduction of up to 83%; the problem tracing time has been shortened from 86 minutes to 30 minutes, a reduction of 65%; the label replacement cost has been reduced from 1,500 yuan per month to 650 yuan, a savings of about 57%; the distribution error rate has been reduced from 10% to 7%, a decrease of 30%. The results in Table 1 show that the optimized intelligent management platform significantly improves the efficiency and reliability of clean service management, reduces operating costs, and effectively reduces error rates and resource waste, reflecting the practical application value of this application.

[0111] This application realizes the full life cycle management of clean clothes from distribution to sterilization through the synergy of resource identification module and process monitoring module, ensuring the real-time controllability of resource status and efficient connection of work process; through the dynamic adjustment mechanism of resource status management module, it optimizes resource allocation and task scheduling, reduces the abnormality rate and resource waste; visual coding traceability module further ensures the continuity and traceability of management process; early warning module improves the system's response ability and decision support ability. The overall system significantly improves the intelligent level of clean clothes management, optimizes the efficiency of work process, and provides efficient data support for enterprise management and decision-making.

[0112] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A comprehensive clean clothing management system based on a smart management platform, characterized in that: include: An RFID identification module, used to identify the electronic code of the first RFID tag on the designated clean clothes, and record the management information of the designated clean clothes in the clean clothes management process; A process monitoring module is used to collect the image of the designated clean clothes before each sub-stage of the clean clothes management process to obtain a clean clothes status image; detect the clean clothes status image through a target detection algorithm to determine whether the first RFID tag is located at the first designated position of the designated clean clothes, and obtain a detection result, wherein the detection result includes a normal label, a label offset, and a label falling off; when the detection result is that the label is offset or the label falls off, record abnormal information and trigger a label abnormal status warning; a resource status management module, configured to obtain the number of washing times and the service life of the first RFID tag; perform abnormality detection on the cleaning information and sterilization information of the first RFID tag, and if an abnormality is identified, adjust the first washing threshold and the first expected life of the first RFID tag according to the abnormal cleaning result and the abnormal sterilization result to obtain a second washing threshold and a second expected life; If the number of washing times reaches the second washing threshold or the service life reaches the second expected life, a label failure warning is triggered; The visual coding tracing module is used to scan the visual code at the second designated position of the designated clean clothes to obtain the identity information of the designated clean clothes when the first RFID tag fails or falls off.

2. According to claim 1, the comprehensive clean clothing management system based on the intelligent management platform is characterized in that: The management information includes: distribution information, usage information, recycling information, cleaning information and sterilization information.

3. According to claim 1, the comprehensive clean clothing management system based on the intelligent management platform is characterized in that: The sub-stages of the clean clothing management process include: distribution stage, use stage, recycling stage, cleaning stage and sterilization stage.

4. According to claim 1, the comprehensive clean clothing management system based on the intelligent management platform is characterized in that: The first RFID tag is specifically: The first RFID tag stores the management information of all the sub-stages in the clean clothing management process; the management information is written into the electronic storage unit of the first RFID tag through the RFID identification module when each sub-stage is completed, and the management information is synchronized to the database.

5. According to claim 1, the comprehensive clean clothing management system based on the intelligent management platform is characterized in that: Collecting the image of the designated clean clothes before each sub-stage of the clean clothes management process to obtain the clean clothes status image includes: A positioning fixture is used to align the designated area of ​​the designated clean clothes with a preset image acquisition frame; the positioning fixture has a position marking function for guiding the placement of the designated clean clothes.

6. The clean clothes integrated management system based on the intelligent management platform according to claim 1 is characterized in that: The clean clothes state image is detected by the target detection algorithm to determine whether the first RFID tag is located at the first designated position of the designated clean clothes: The YOLO-NAS model is used to perform target detection on the clean service status image to obtain the bounding box coordinates of the first RFID tag; the bounding box coordinates are compared with the reference coordinates of the first designated position; when the bounding box coordinates are completely within the range of the reference coordinates, it is judged that the detection result of the clean service status image is that the tag is normal; when the bounding box coordinates do not completely fall within the range of the reference coordinates, it is judged that the detection result of the clean service status image is that the tag is offset; when the first RFID tag is not detected, it is judged that the detection result of the clean service status image is that the label has fallen off.

7. The clean clothes integrated management system based on the intelligent management platform according to claim 1 is characterized in that: The first washing threshold and the first expected life of the first RFID tag are adjusted according to the abnormal cleaning result and the abnormal sterilization result as follows: The abnormal cleaning result includes the cleaning temperature, cleaning agent concentration and cleaning time in the most recent cleaning operation, and the cleaning abnormality impact factor is calculated; the calculation formula of the cleaning abnormality impact factor is: Among them, I c is the cleaning abnormality influencing factor; and are the influence weights of the cleaning temperature, the cleaning agent concentration and the cleaning time respectively; T c 、c c and t c are the cleaning temperature, the cleaning agent concentration and the cleaning time, respectively, and are the target cleaning temperature, target cleaning agent concentration and target cleaning time respectively; ΔT c is the cleaning temperature deviation; Δc c is the concentration deviation of the cleaning agent; Δt c is the cleaning time deviation; max() is the function of taking the maximum value; The abnormal sterilization result includes the sterilization temperature, sterilization pressure and sterilization time in the most recent sterilization operation; the sterilization abnormality impact factor is calculated; the calculation formula of the sterilization abnormality impact factor is: Among them, I s is the sterilization abnormality influencing factor; and are the influence weights of the sterilization temperature, the sterilization pressure and the sterilization time respectively; T s , P s and t s are the sterilization temperature, the sterilization pressure and the sterilization time, respectively, and are the target sterilization temperature, target sterilization pressure and target sterilization time respectively; ΔT s is the sterilization temperature deviation; ΔP s is the sterilization pressure deviation; Δt s It is the sterilization time deviation; According to the abnormal cleaning influencing factor and the abnormal sterilization influencing factor, adjusting the first washing threshold and the first expected life of the first RFID tag to obtain the second washing threshold and the second expected life; The calculation formula of the second washing threshold is: T new =T orig ·(1-a·I c -b·I s ); Among them, T new is the second washing threshold; T orig is the first washing threshold; a is the influence weight of the cleaning abnormality influencing factor on the second washing threshold, and b is the influence weight of the sterilization abnormality influencing factor on the second washing threshold; The calculation formula for the second life expectancy is: L new =L orig ·(1-c·I c -d·I s ); Among them, L new is the second life expectancy; L orig is the first expected life; c is the influence weight of the cleaning abnormality influencing factor on the second expected life, and d is the influence weight of the sterilization abnormality influencing factor on the second expected life.

8. The clean clothes integrated management system based on the intelligent management platform according to claim 1 is characterized in that: The clean clothing integrated management system also includes: The warning module is used to receive the label abnormal state warning and / or the label expiration warning, generate corresponding warning prompt information, and synchronize the warning prompt information to the management platform.

9. The clean clothes integrated management system based on the intelligent management platform according to claim 1 is characterized in that: The visual encoding is specifically: The visual code is consistent with the electronic code in the first RFID tag chip; the visual code is engraved on the second designated position of the designated clean clothes in a laser engraving manner.

10. The clean clothes integrated management system based on the intelligent management platform according to claim 1, characterized in that: Scanning the visual code at the second designated position of the designated clean clothes to obtain the identity information of the designated clean clothes further includes: A second RFID tag is bound according to the identity information, and the second RFID tag is sewn to the first designated position of the clean clothes. At the same time, the electronic code of the second RFID tag is re-associated with the visual code and updated to the database.

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