Cleaning Management Method and Supervision System Based on Fluorescent Spotting
Through the cleaning management method based on fluorescent dot distribution, the precise quantification and real-time supervision of the cleaning effect are achieved, the problems of accuracy and insufficient supervision in traditional cleaning management are solved, and the cleaning efficiency and hygiene quality are improved.
Patent Information
- Application Number
- CN202411229571.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-03
- Publication Date
- 2025-07-29
- Estimated Expiration
- 2044-09-03
AI Technical Summary
Traditional cleaning management methods rely on manual inspection, making it difficult to achieve accurate quantification and comprehensive supervision of cleaning effects, resulting in unstable cleaning effects and prone to cleaning blind spots or repeated cleaning.
The cleaning management method based on fluorescent dot distribution is achieved through area division, fluorescent dot density calculation, distribution map generation and comparison evaluation, accurately quantification and real-time supervision of cleanliness, including the integration of cleaning management module, cloud data server, fluorescent dot distribution data management module and communication module.
It improves cleaning efficiency and accuracy, ensures continuous cleanliness of the environment, improves management level, and is suitable for places such as hospitals and food production lines that have strict requirements on cleanliness.
Smart Images
Figure CN119168464B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of data processing, specifically a cleaning management method and supervision system based on fluorescent dotting. Background Art
[0002] In the field of cleaning management, traditional methods mainly rely on manual inspection and subjective judgment, and there are many limitations in this way. First of all, it is difficult to accurately quantify the cleaning effect through manual inspection. Often, only the cleaning degree can be judged according to experience or vision, lacking objective and accurate data support. Secondly, it is difficult to comprehensively supervise the cleaning process by traditional methods, and the cleaning status cannot be monitored in real time, resulting in unstable cleaning effects. There are easily cleaning dead corners or repeated cleaning situations.
[0003] In order to overcome these limitations, people began to explore new cleaning management methods. Among them, the cleaning management method based on fluorescent dotting came into being. This method uses fluorescent dotting as an indicator of the cleaning effect and reflects the cleaning status in real time by monitoring the change of fluorescence intensity. Fluorescent dotting has the advantages of high sensitivity, fast response speed, and reusable, and can accurately quantify the cleaning effect.
[0004] However, there are still some problems with the existing cleaning management methods based on fluorescent dotting. For example, the layout density and position of fluorescent dotting often rely on experience to determine, lacking scientific basis; the acquisition and processing process of fluorescence intensity is complex and requires professional equipment and technical support; the evaluation criteria for cleaning effects are not unified, and it is difficult to form a general cleaning acceptance level. Summary of the Invention
[0005] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a cleaning management method based on fluorescent dotting, including the following steps:
[0006] Step 1, divide the cleaning management area according to the cleanliness to obtain cleaning management sub-areas corresponding to different cleanliness levels;
[0007] Step 2, obtain the fluorescent dotting density corresponding to the cleanliness in the cloud data server, and obtain the number of fluorescent dots and the spacing between fluorescent dots according to the fluorescent dotting density corresponding to the cleanliness of the cleaning management sub-area and the area of the cleaning management sub-area;
[0008] Step 3, the fluorescent dot data management module dots the cleaning management sub-area according to the obtained number of fluorescent dots and the spacing between fluorescent dots to obtain a fluorescent dot distribution map of the cleaning management sub-area;
[0009] Step 4: Divide the fluorescence dot distribution map of the cleaning management sub-region according to the cleaning data to obtain a sequence of fluorescence dot distribution comparison sub-maps; collect the fluorescence dot distribution map after cleaning in the cleaning management sub-region, and divide the fluorescence dot distribution map after cleaning in the cleaning management sub-region to obtain a sequence of fluorescence dot distribution acceptance sub-maps;
[0010] Step 5: Compare the sequence of fluorescence dot distribution comparison sub-maps with the sequence of fluorescence dot distribution acceptance sub-maps one by one to obtain the cleanliness of each fluorescence dot distribution acceptance sub-map. If there is a fluorescence dot distribution acceptance sub-map with a cleanliness less than the corresponding qualified cleanliness of the cleaning management sub-region, go to Step 6; otherwise, the cleaning of the cleaning management sub-region is completed, the acceptance cleanliness of the cleaning management sub-region is obtained, and go to Step 7;
[0011] Step 6: Obtain the cleaning area corresponding to the cleaning management sub-region according to the fluorescence dot distribution acceptance sub-map with a cleanliness less than the corresponding cleanliness of the cleaning management sub-region. Send the cleaning area corresponding to the cleaning management sub-region and the cleanliness information to the cleaning management module for re-cleaning, and return to Step 4;
[0012] Step 7: Obtain the cleaning acceptance level of the cleaning management region according to the acceptance cleanliness of each cleaning management sub-region and the corresponding acceptance weight, and complete the cleaning management of the cleaning management region.
[0013] Further, the regional division of the cleaning management region according to the cleanliness to obtain cleaning management sub-regions corresponding to different cleanlinesse includes:
[0014] Obtain the cleaning area range corresponding to the same cleanliness in the cleaning management region to obtain the cleaning management sub-region corresponding to the cleanliness. According to different cleanlinesse, obtain the cleaning management sub-regions corresponding to the corresponding cleanlinesse respectively, and complete the division of the cleaning management region.
[0015] Further, obtaining the fluorescence dot density corresponding to the cleanliness in the cloud data server, and obtaining the number of fluorescence dots and the fluorescence dot spacing according to the fluorescence dot density corresponding to the cleanliness of the cleaning management sub-region and the area of the cleaning management sub-region includes:
[0016] The cloud data server includes a database of cleanliness and fluorescence dot density. Obtain the corresponding fluorescence dot density according to the cleanliness, and obtain the fluorescence dot spacing according to the fluorescence dot density; obtain the number of fluorescence dots according to the fluorescence dot density and the area of the cleaning management sub-region.
[0017] Further, the fluorescence dot data management module dots the cleaning management sub-region according to the obtained number of fluorescence dots and the fluorescence dot spacing to obtain the fluorescence dot distribution map of the cleaning management sub-region, including:
[0018] According to the obtained number of fluorescence dotting and the fluorescence dotting spacing, the fluorescence dotting data management module performs fluorescence dotting on the cleaning management sub-region. After the dotting is completed, the fluorescence intensity of each fluorescence dot is collected. If the fluorescence intensity of each fluorescence dot is not less than the set fluorescence intensity threshold, a fluorescence dotting distribution map is obtained. Otherwise, for the fluorescence dots with fluorescence intensity less than the set fluorescence intensity threshold, re-dotting is performed, and the fluorescence intensity is collected again to obtain a fluorescence dotting distribution map.
[0019] Further, the fluorescence dotting distribution map of the cleaning management sub-region is divided according to the cleaning data to obtain a sequence of fluorescence dotting distribution comparison sub-graphs. The fluorescence dotting distribution map after cleaning the cleaning management sub-region is collected, and the fluorescence dotting distribution map after cleaning the cleaning management sub-region is divided to obtain a sequence of fluorescence dotting distribution acceptance sub-graphs, including:
[0020] The cleaning data includes the unit cleaning area and the cleaning order. According to the unit cleaning area, the fluorescence dotting distribution map of the cleaning management sub-region is divided to obtain a fluorescence dotting distribution comparison sub-graph, and according to the cleaning order, a sequence of fluorescence dotting distribution comparison sub-graphs is obtained;
[0021] According to the unit cleaning area, the fluorescence dotting distribution map after cleaning the collected cleaning management sub-region is divided to obtain a fluorescence dotting distribution acceptance sub-graph, and according to the cleaning order, a sequence of fluorescence dotting distribution acceptance sub-graphs is obtained.
[0022] Further, the sequence of fluorescence dotting distribution comparison sub-graphs and the sequence of fluorescence dotting distribution acceptance sub-graphs are compared one by one to obtain the cleanliness of each fluorescence dotting distribution acceptance sub-graph, including:
[0023] Obtain the ratio of the number of fluorescence dots with fluorescence intensity less than the acceptance fluorescence threshold in the fluorescence dotting distribution acceptance sub-graph to the number of fluorescence dots included in the corresponding fluorescence dotting distribution comparison sub-graph to obtain the cleanliness of the fluorescence dotting distribution acceptance sub-graph.
[0024] Further, the cleaning management sub-region is cleaned to obtain the acceptance cleanliness of the cleaning management sub-region, including:
[0025] According to the average value of the acceptance cleanliness of each fluorescence dotting distribution acceptance sub-graph in the sequence of fluorescence dotting distribution acceptance sub-graphs, the acceptance cleanliness of the cleaning management sub-region is obtained.
[0026] Further, according to the acceptance cleanliness of each cleaning management sub-region and the corresponding acceptance weight, the cleaning acceptance level of the cleaning management region is obtained, including:
[0027] The acceptance cleanliness of the cleaning management area is obtained by multiplying the acceptance cleanliness of each cleaning management sub - area by the corresponding acceptance weight. According to the acceptance cleanliness level in the cloud data server, the cleaning acceptance level of the cleaning management area is obtained.
[0028] A cleaning supervision system based on fluorescence point - distribution, applying the cleaning management method based on fluorescence point - distribution, includes a cleaning management module, a cloud data server, a fluorescence point - distribution data management module, a data processing module, and a communication module;
[0029] The cleaning management module, the fluorescence point - distribution data management module, and the communication module are respectively connected to the data processing module; the cloud data server is communicatively connected to the communication module.
[0030] The beneficial effects of the present invention are as follows: Improve cleaning efficiency and accuracy: Through the precise division and real - time monitoring of fluorescence point - distribution, cleaning personnel can perform cleaning operations more targeted, avoiding ineffective labor and repeated cleaning, and significantly improving cleaning efficiency. The fluorescence intensity of the fluorescence point - distribution can reflect the cleaning status in real - time, making it possible to quantitatively evaluate the cleaning effect, thereby improving the cleaning accuracy.
[0031] Ensure continuous cleaning and hygiene quality: Once the fluorescence intensity of the fluorescence point - distribution is lower than the set threshold, it can be detected and processed in a timely manner, ensuring the continuous cleaning of the environment or equipment. This method helps to maintain a high standard of hygiene quality, which is particularly important for places with strict requirements for environmental cleanliness such as hospitals and food production lines.
[0032] Innovate supervision means and improve management level: The cleaning management method based on fluorescence point - distribution provides a new means for cleaning supervision. With the support of the cloud data server and the data processing module, it realizes the comprehensive and real - time supervision of the cleaning process. This not only improves the efficiency of cleaning management but also makes the management more scientific and standardized, helping to improve the overall management level. Description of the Drawings
[0033] Figure 1 It is a schematic flow chart of the cleaning management method based on fluorescence point - distribution;
[0034] Figure 2 It is a schematic principle diagram of the cleaning supervision system based on fluorescence point - distribution;
[0035] Figure 3 It is a schematic principle diagram of the cloud data server. Detailed Embodiments
[0036] The technical solutions of the present invention will be further described in detail below with reference to the drawings, but the protection scope of the present invention is not limited to the following.
[0037] The features and performance of the present invention will be further described in detail below in conjunction with embodiments.
[0038] As Figure 1 shown, the cleaning management method based on fluorescent dotting includes the following steps:
[0039] Step 1: Divide the cleaning management area according to the cleanliness to obtain cleaning management sub-areas corresponding to different cleanliness levels;
[0040] Step 2: Obtain the fluorescent dotting density corresponding to the cleanliness in the cloud data server. According to the fluorescent dotting density corresponding to the cleanliness of the cleaning management sub-area and the area of the cleaning management sub-area, obtain the number of fluorescent dots and the fluorescent dot spacing;
[0041] Step 3: The fluorescent dot data management module performs fluorescent dotting on the cleaning management sub-area according to the obtained number of fluorescent dots and the fluorescent dot spacing to obtain a fluorescent dot distribution map of the cleaning management sub-area;
[0042] Step 4: Divide the fluorescent dot distribution map of the cleaning management sub-area according to the cleaning data to obtain a sequence of sub-maps for comparing fluorescent dot distributions; Collect the fluorescent dot distribution map after cleaning the cleaning management sub-area, and divide the fluorescent dot distribution map after cleaning the cleaning management sub-area to obtain a sequence of sub-maps for accepting fluorescent dot distributions;
[0043] Step 5: Compare the sequence of sub-maps for comparing fluorescent dot distributions with the sequence of sub-maps for accepting fluorescent dot distributions one by one to obtain the cleanliness of each sub-map for accepting fluorescent dot distributions. If there is a sub-map for accepting fluorescent dot distributions with a cleanliness less than the qualified cleanliness corresponding to the cleaning management sub-area, go to Step 6; otherwise, the cleaning of the cleaning management sub-area is completed, obtain the acceptance cleanliness of the cleaning management sub-area, and go to Step 7;
[0044] Step 6: Obtain the cleaning area corresponding to the cleaning management sub-area according to the sub-map for accepting fluorescent dot distributions with a cleanliness less than the cleanliness corresponding to the cleaning management sub-area. Send the cleaning area corresponding to the cleaning management sub-area and the cleanliness information to the cleaning management module for re-cleaning, and return to Step 4;
[0045] Step 7: Obtain the cleaning acceptance level of the cleaning management area according to the acceptance cleanliness of each cleaning management sub-area and the corresponding acceptance weight, and complete the cleaning management of the cleaning management area.
[0046] The step of dividing the cleaning management area according to the cleanliness to obtain cleaning management sub-areas corresponding to different cleanliness levels includes:
[0047] Obtain the cleaning area range corresponding to the same cleanliness level in the cleaning management area to obtain the cleaning management sub-area corresponding to the cleanliness level. According to different cleanliness levels, obtain the cleaning management sub-areas corresponding to the respective cleanliness levels, and complete the division of the cleaning management area.
[0048] The fluorescence dot density corresponding to the cleanliness level is obtained from the cloud data server. According to the fluorescence dot density corresponding to the cleanliness level of the cleaning management sub-area and the area of the cleaning management sub-area, the number of fluorescence dots and the fluorescence dot spacing are obtained, including:
[0049] The cloud data server includes a database of cleanliness level and fluorescence dot density. The corresponding fluorescence dot density is obtained according to the cleanliness level, and the fluorescence dot spacing is obtained according to the fluorescence dot density; the number of fluorescence dots is obtained according to the fluorescence dot density and the area of the cleaning management sub-area.
[0050] The fluorescence dot data management module performs fluorescence dotting on the cleaning management sub-area according to the obtained number of fluorescence dots and the fluorescence dot spacing to obtain the fluorescence dot distribution map of the cleaning management sub-area, including:
[0051] The fluorescence dot data management module performs fluorescence dotting on the cleaning management sub-area according to the obtained number of fluorescence dots and the fluorescence dot spacing. After the dotting is completed, the fluorescence intensity of each fluorescence dot is collected. If the fluorescence intensity of each fluorescence dot is not less than the set fluorescence intensity threshold, the fluorescence dot distribution map is obtained; otherwise, the fluorescence dots with fluorescence intensity less than the set fluorescence intensity threshold are redotted, and the fluorescence intensity is collected again to obtain the fluorescence dot distribution map.
[0052] According to the cleaning data, the fluorescence dot distribution map of the cleaning management sub-area is divided to obtain a sequence of fluorescence dot distribution comparison sub-graphs. The fluorescence dot distribution map after cleaning of the cleaning management sub-area is collected, and the fluorescence dot distribution map after cleaning of the cleaning management sub-area is divided to obtain a sequence of fluorescence dot distribution acceptance sub-graphs, including:
[0053] The cleaning data includes the unit cleaning area and the cleaning order. According to the unit cleaning area, the fluorescence dot distribution map of the cleaning management sub-area is divided to obtain a fluorescence dot distribution comparison sub-graph, and according to the cleaning order, a sequence of fluorescence dot distribution comparison sub-graphs is obtained;
[0054] According to the unit cleaning area, the collected fluorescence dot distribution map after cleaning of the cleaning management sub-area is divided to obtain a fluorescence dot distribution acceptance sub-graph, and according to the cleaning order, a sequence of fluorescence dot distribution acceptance sub-graphs is obtained.
[0055] The fluorescence dot distribution comparison sub - graph sequence and the fluorescence dot distribution acceptance sub - graph sequence are compared one by one to obtain the cleanliness of each fluorescence dot distribution acceptance sub - graph, including:
[0056] Obtain the ratio of the number of fluorescence dots with fluorescence intensity less than the acceptance fluorescence threshold in the fluorescence dot distribution acceptance sub - graph to the number of fluorescence dots included in the corresponding fluorescence dot distribution comparison sub - graph, and obtain the cleanliness of the fluorescence dot distribution acceptance sub - graph.
[0057] After the cleaning management sub - area is completed, the acceptance cleanliness of the cleaning management sub - area is obtained, including:
[0058] According to the average value of the acceptance cleanliness of each fluorescence dot distribution acceptance sub - graph in the fluorescence dot distribution acceptance sub - graph sequence, obtain the acceptance cleanliness of the cleaning management sub - area.
[0059] The cleaning acceptance level of the cleaning management area is obtained according to the acceptance cleanliness of each cleaning management sub - area and the corresponding acceptance weight, including:
[0060] Obtain the acceptance cleanliness of the cleaning management area according to the product of the acceptance cleanliness of each cleaning management sub - area and the corresponding acceptance weight, and obtain the cleaning acceptance level of the cleaning management area according to the acceptance cleanliness level in the cloud data server.
[0061] As Figure 2 shown, the cleaning supervision system based on fluorescence dots is characterized in that it applies the cleaning management method based on fluorescence dots according to any one of claims 1 - 8, including a cleaning management module, a cloud data server, a fluorescence dot data management module, a data processing module, and a communication module;
[0062] The cleaning management module, the fluorescence dot data management module, and the communication module are respectively connected to the data processing module; the cloud data server is communicatively connected to the communication module.
[0063] As Figure 3 shown, the cloud data server includes an acceptance cleanliness level database and a cleanliness - fluorescence dot density database.
[0064] Specifically, the steps of the cleaning management method based on fluorescence dots
[0065] Step 1: Division of the cleaning management area
[0066] Obtain cleanliness data: First, a comprehensive cleanliness detection of the cleaning management area is required to obtain the cleanliness data of different areas.
[0067] Area division: According to the cleanliness data, the cleaning management area is divided into multiple sub-areas with different cleanliness levels. This step is the basis for subsequent fluorescence dotting.
[0068] Specifically, obtain the cleaning area range corresponding to the same cleanliness level in the cleaning management area to obtain the cleaning management sub-area corresponding to the cleanliness level. According to different cleanliness levels, obtain the cleaning management sub-areas corresponding to the respective cleanliness levels, and complete the division of the cleaning management area.
[0069] Step 2: Determination of fluorescence dotting density
[0070] Query in the cloud data server: Query the fluorescence dotting density corresponding to different cleanliness levels in the cloud data server.
[0071] Calculate the number and spacing of fluorescence dots: According to the cleanliness level of the cleaning management sub-area, the corresponding fluorescence dotting density, and the area of the sub-area, calculate the required number and spacing of fluorescence dots.
[0072] The cloud data server includes a database of cleanliness levels and fluorescence dotting densities. Obtain the corresponding fluorescence dotting density according to the cleanliness level, and obtain the fluorescence dotting spacing according to the fluorescence dotting density; obtain the number of fluorescence dots according to the fluorescence dotting density and the area of the cleaning management sub-area.
[0073] Step 3: Implementation of fluorescence dotting
[0074] Dotting operation: The fluorescence dotting data management module performs fluorescence dotting in the cleaning management sub-area according to the calculated number and spacing of fluorescence dots.
[0075] Fluorescence intensity detection: After dotting is completed, collect the fluorescence intensity of each fluorescence dot to ensure that the fluorescence intensity of all dots is not lower than the set threshold.
[0076] The fluorescence dotting data management module performs fluorescence dotting on the cleaning management sub-area according to the obtained number and spacing of fluorescence dots. After dotting is completed, collect the fluorescence intensity of each fluorescence dot. If the fluorescence intensity of each fluorescence dot is not less than the set fluorescence intensity threshold, obtain the fluorescence dotting distribution map. Otherwise, re-dot the fluorescence dots with a fluorescence intensity less than the set fluorescence intensity threshold and re-collect the fluorescence intensity to obtain the fluorescence dotting distribution map.
[0077] Step 4: Division of the fluorescence dotting distribution map
[0078] Obtain cleaning data: Obtain cleaning data such as the unit cleaning area and cleaning sequence of the cleaning management sub-area.
[0079] Distribution map division: According to the unit cleaning area, the fluorescence dot distribution map is divided into multiple comparison sub - maps, and a sequence of comparison sub - maps is formed according to the cleaning order. At the same time, the cleaned fluorescence dot distribution map is also divided in the same way to form an acceptance sub - map sequence.
[0080] The cleaning data mentioned above includes the unit cleaning area and the cleaning order. According to the unit cleaning area, the fluorescence dot distribution map of the cleaning management sub - area is divided to obtain the fluorescence dot distribution comparison sub - map, and according to the cleaning order, a sequence of fluorescence dot distribution comparison sub - maps is obtained; according to the unit cleaning area, the collected fluorescence dot distribution map of the cleaned cleaning management sub - area is divided to obtain the fluorescence dot distribution acceptance sub - map, and according to the cleaning order, a sequence of fluorescence dot distribution acceptance sub - maps is obtained.
[0081] Step Five: Cleanliness comparison and evaluation
[0082] Comparison operation: Compare the sequence of fluorescence dot distribution comparison sub - maps with the sequence of acceptance sub - maps one by one.
[0083] Cleanliness calculation: Through comparison, calculate the cleanliness of each acceptance sub - map, that is, the ratio of the number of dots with fluorescence intensity lower than the acceptance threshold in the acceptance sub - map to the number of dots in the comparison sub - map.
[0084] Cleanliness judgment: If the cleanliness of all acceptance sub - maps is not lower than the qualified standard, the cleaning management sub - area has completed cleaning; otherwise, go to Step Six for re - cleaning.
[0085] Obtain the ratio of the number of fluorescence dots with fluorescence intensity less than the acceptance fluorescence threshold in the fluorescence dot distribution acceptance sub - map to the number of fluorescence dots included in the corresponding fluorescence dot distribution comparison sub - map to get the cleanliness of the fluorescence dot distribution acceptance sub - map.
[0086] Step Six: Re - cleaning
[0087] Cleaning area determination: Determine the area that needs to be re - cleaned according to the acceptance sub - maps with cleanliness lower than the standard.
[0088] Send cleaning instructions: Send the area that needs to be re - cleaned and the corresponding cleanliness information to the cleaning management module, instructing it to perform re - cleaning.
[0089] Return to Step Four: After re - cleaning is completed, return to Step Four for another division of the fluorescence dot distribution map and cleanliness comparison.
[0090] Step Seven: Determination of cleaning acceptance level
[0091] Acceptance cleanliness calculation: According to the acceptance cleanliness of each cleaning management sub - area, calculate its average value as the acceptance cleanliness of this sub - area.
[0092] Determination of cleaning acceptance level: Based on the acceptance cleanliness of each sub-region and the corresponding acceptance weight, calculate the overall acceptance cleanliness of the cleaning management area, and determine the cleaning acceptance level of the cleaning management area according to the acceptance cleanliness level standard in the cloud data server.
[0093] After the cleaning management sub-region is cleaned, the acceptance cleanliness of the cleaning management sub-region is obtained, including: obtaining the acceptance cleanliness of the cleaning management sub-region according to the average value of the acceptance cleanliness of each fluorescence cloth point distribution acceptance sub-graph in the fluorescence cloth point distribution acceptance sub-graph sequence.
[0094] The method of obtaining the cleaning acceptance level of the cleaning management area according to the acceptance cleanliness of each cleaning management sub-region and the corresponding acceptance weight includes: obtaining the acceptance cleanliness of the cleaning management area according to the product of the acceptance cleanliness of each cleaning management sub-region and the corresponding acceptance weight, and obtaining the cleaning acceptance level of the cleaning management area according to the acceptance cleanliness level in the cloud data server.
[0095] III. Cleaning supervision system based on fluorescence cloth points
[0096] To implement the above cleaning management method, we designed a cleaning supervision system based on fluorescence cloth points. The system includes a cleaning management module, a cloud data server, a fluorescence cloth point data management module, a data processing module, and a communication module.
[0097] Cleaning management module: Used to receive cleaning instructions from the data processing module and execute corresponding cleaning operations.
[0098] Cloud data server: Stores data such as the correspondence between cleanliness and fluorescence cloth point density, acceptance cleanliness level, etc., and provides data support for the system.
[0099] Fluorescence cloth point data management module: Used for the layout of fluorescence cloth points, the collection of fluorescence intensity, and the generation of fluorescence cloth point distribution maps.
[0100] Data processing module: The core of the system, used to execute the above cleaning management method, including area division, determination of fluorescence cloth point density, comparison and evaluation of cleanliness, etc.
[0101] Communication module: Used for data transmission and communication between each module of the system.
[0102] Example 1: Cleaning management of hospital wards
[0103] As an important place for patient treatment and rehabilitation, the cleanliness of hospital wards is directly related to the health and safety of patients. Traditional cleaning management methods often rely on manual inspections and subjective judgments, making it difficult to accurately quantify the cleaning effect. Therefore, in this embodiment, a cleaning management method based on fluorescent dotting is applied to the cleaning management of hospital wards, aiming to improve cleaning efficiency and ensure the hygienic quality of the ward environment.
[0104] II. Implementation Steps
[0105] Cleaning Management Area Division
[0106] First, conduct a comprehensive cleanliness detection of the hospital ward. Use professional cleanliness detection equipment to sample and analyze each area in the ward to obtain cleanliness data for different areas. According to the cleanliness data, divide the ward into multiple sub-areas with different cleanliness levels, such as the bed area, the floor area, the desktop area, etc.
[0107] Determination of Fluorescent Dotting Density
[0108] Query the fluorescent dotting density corresponding to different cleanliness levels in the cloud data server. Based on the cleanliness level and corresponding fluorescent dotting density of each sub-area in the ward, as well as the area of the sub-area, calculate the required number of fluorescent dots and the dotting spacing. For example, for the bed area with higher cleanliness requirements, the fluorescent dotting density should be relatively high and the dotting spacing should be relatively small.
[0109] Fluorescent Dotting Implementation
[0110] Use the fluorescent dotting data management module to conduct fluorescent dotting in each sub-area of the ward according to the calculated number of fluorescent dots and spacing. After dotting, collect the fluorescence intensity of each fluorescent dot to ensure that the fluorescence intensity of all dots is not lower than the set threshold. If there are dots with fluorescence intensity lower than the threshold, re-dot and collect the fluorescence intensity again until all dots meet the requirements.
[0111] Division of Fluorescent Dotting Distribution Map
[0112] Obtain cleaning data such as the unit cleaning area and cleaning order of the ward. According to the unit cleaning area, divide the fluorescent dotting distribution map into multiple comparison sub-maps and form a sequence of comparison sub-maps according to the cleaning order. At the same time, also divide the cleaned fluorescent dotting distribution map in the same way to form a sequence of acceptance sub-maps.
[0113] Cleanliness Comparison and Evaluation
[0114] Compare the sub - sequence of fluorescent cloth - point distributions with the acceptance sub - sequence one by one. Through the comparison, calculate the cleanliness of each acceptance sub - figure, that is, the ratio of the number of cloth - points with fluorescence intensity lower than the acceptance threshold in the acceptance sub - figure to the number of cloth - points in the comparison sub - figure. If the cleanliness of all acceptance sub - figures is not lower than the qualified standard, the ward is considered clean; otherwise, enter the re - cleaning process.
[0115] Re - cleaning
[0116] Based on the acceptance sub - figures with cleanliness lower than the standard, determine the areas that need to be re - cleaned. Send the areas that need to be re - cleaned and the corresponding cleanliness information to the cleaning management module, instructing it to perform re - cleaning. After the re - cleaning is completed, return to the steps of dividing the fluorescent cloth - point distribution map and comparing the cleanliness for re - evaluation.
[0117] Determination of cleaning acceptance level
[0118] According to the acceptance cleanliness of each sub - area in the ward, calculate its average value as the acceptance cleanliness of the ward. According to the acceptance cleanliness and the corresponding acceptance weight, calculate the overall acceptance cleanliness of the ward. Finally, determine the cleaning acceptance level of the ward according to the acceptance cleanliness level standard in the cloud data server.
[0119] By implementing the cleaning management method based on fluorescent cloth - points, the cleaning efficiency of hospital wards has been significantly improved. The precise layout of fluorescent cloth - points and the real - time collection of fluorescence intensity enable the quantitative evaluation of cleaning effects. At the same time, this method also realizes the comprehensive supervision of the cleaning process, ensuring the sanitary quality of the ward environment.
[0120] Example 2: Cleaning management of food production line
[0121] As an important link in food production, the cleanliness of the food production line is directly related to food safety and quality. Traditional cleaning management methods often rely on manual inspection and chemical reagent detection, making it difficult to achieve precise quantification and comprehensive supervision of cleaning effects. Therefore, in this example, the cleaning management method based on fluorescent cloth - points is applied to the cleaning management of the food production line, aiming to improve cleaning efficiency and ensure the sanitary quality of the food production environment.
[0122] II. Implementation steps
[0123] Cleaning management area division
[0124] Conduct a comprehensive cleanliness detection of the food production line. Use professional cleanliness detection equipment to sample and analyze each area on the production line to obtain cleanliness data of different areas. According to the cleanliness data, divide the production line into multiple sub - areas with different cleanliness levels, such as equipment surface areas, conveyor belt areas, operation table areas, etc.
[0125] Determination of Fluorescent Cloth Spot Density
[0126] Query the fluorescent cloth spot density corresponding to different cleanliness levels in the cloud data server. Based on the cleanliness level, corresponding fluorescent cloth spot density, and the area of each sub-region within the production line, calculate the required number of fluorescent cloth spots and the spot spacing. For example, for the surface area of equipment with higher cleanliness requirements, the fluorescent cloth spot density should be relatively high, and the spot spacing should be relatively small.
[0127] Implementation of Fluorescent Cloth Spots
[0128] Use the fluorescent cloth spot data management module to perform fluorescent cloth spotting in each sub-region within the production line according to the calculated number of fluorescent cloth spots and the spacing. After the spotting is completed, collect the fluorescence intensity of each fluorescent cloth spot to ensure that the fluorescence intensity of all spots is not lower than the set threshold. If there are spots with fluorescence intensity lower than the threshold, re-spotting is required, and the fluorescence intensity is collected again until all spots meet the requirements.
[0129] Division of Fluorescent Cloth Spot Distribution Map
[0130] Obtain cleaning data such as the unit cleaning area and cleaning sequence of the production line. Based on the unit cleaning area, divide the fluorescent cloth spot distribution map into multiple comparison sub-maps, and form a sequence of comparison sub-maps according to the cleaning sequence. At the same time, perform the same division on the cleaned fluorescent cloth spot distribution map to form an acceptance sub-map sequence.
[0131] Cleanliness Comparison and Evaluation
[0132] Compare the sequence of fluorescent cloth spot distribution comparison sub-maps with the acceptance sub-map sequence one by one. Through the comparison, calculate the cleanliness level of each acceptance sub-map, that is, the ratio of the number of spots with fluorescence intensity lower than the acceptance threshold in the acceptance sub-map to the number of spots in the comparison sub-map. If the cleanliness level of all acceptance sub-maps is not lower than the qualified standard, the production line has completed cleaning; otherwise, enter the re-cleaning process.
[0133] Re-cleaning
[0134] Based on the acceptance sub-maps with cleanliness level lower than the standard, determine the areas that need to be re-cleaned. Send the areas that need to be re-cleaned and the corresponding cleanliness information to the cleaning management module to instruct it to perform re-cleaning. After the re-cleaning is completed, return to the steps of dividing the fluorescent cloth spot distribution map and comparing the cleanliness level for re-evaluation.
[0135] Determination of Cleaning Acceptance Level
[0136] Calculate the average value of the acceptance cleanliness of each sub-region within the production line as the acceptance cleanliness of the production line. Calculate the overall acceptance cleanliness of the production line based on the acceptance cleanliness and the corresponding acceptance weights. Finally, determine the cleaning acceptance level of the production line according to the acceptance cleanliness level standard in the cloud data server.
[0137] By implementing the cleaning management method based on fluorescent spot distribution, the cleaning efficiency of the food production line has been significantly improved. The precise layout of fluorescent spots and the real-time collection of fluorescence intensity enable the quantitative evaluation of cleaning effects. At the same time, this method also realizes the comprehensive supervision of the cleaning process, ensuring the hygienic quality of the food production environment.
Claims
1. A cleaning management method based on fluorescent dotting, characterized in that, It includes the following steps: Step 1: Divide the cleaning management area according to the cleanliness level to obtain cleaning management sub-areas corresponding to different cleanliness levels; Step 2: Obtain the fluorescence dot density corresponding to the cleanliness level from the cloud data server. Based on the fluorescence dot density corresponding to the cleanliness level of the cleaning management sub-area and the area of the cleaning management sub-area, obtain the number of fluorescence dots and the fluorescence dot spacing; Step 3: The fluorescence dot data management module performs fluorescence dotting on the cleaning management sub-area according to the obtained number of fluorescence dots and the fluorescence dot spacing to obtain the fluorescence dot distribution map of the cleaning management sub-area; Step 4: Divide the fluorescence dot distribution map of the cleaning management sub-area according to the cleaning data to obtain a sequence of fluorescence dot distribution comparison sub-maps; Collect the fluorescence dot distribution map after cleaning the cleaning management sub-area, and divide the fluorescence dot distribution map after cleaning the cleaning management sub-area to obtain a sequence of fluorescence dot distribution acceptance sub-maps; Step 5: Compare the sequence of fluorescence dot distribution comparison sub-maps with the sequence of fluorescence dot distribution acceptance sub-maps one by one to obtain the cleanliness level of each fluorescence dot distribution acceptance sub-map. If there is a fluorescence dot distribution acceptance sub-map with a cleanliness level lower than the qualified cleanliness level corresponding to the cleaning management sub-area, go to Step 6; otherwise, the cleaning of the cleaning management sub-area is completed, obtain the acceptance cleanliness level of the cleaning management sub-area, and go to Step 7; Step 6: Based on the fluorescence dot distribution acceptance sub-map with a cleanliness level lower than the qualified cleanliness level corresponding to the cleaning management sub-area, obtain the cleaning area corresponding to the cleaning management sub-area, and send the cleaning area corresponding to the cleaning management sub-area and the cleanliness information to the cleaning management module for re-cleaning, and return to Step 4; Step 7: Based on the acceptance cleanliness level of each cleaning management sub-area and the corresponding acceptance weight, obtain the cleaning acceptance level of the cleaning management area, and complete the cleaning management of the cleaning management area.
2. The cleaning management method based on fluorescent dotting according to claim 1, wherein The division of the cleaning management area according to the cleanliness level to obtain cleaning management sub-areas corresponding to different cleanliness levels includes: Obtain the cleaning area range corresponding to the same cleanliness level in the cleaning management area to obtain the cleaning management sub-area corresponding to the cleanliness level. According to different cleanliness levels, obtain the cleaning management sub-areas corresponding to the respective cleanliness levels, and complete the division of the cleaning management area.
3. The cleaning management method based on fluorescent dotting according to claim 2, wherein, The obtaining of the fluorescence dot density corresponding to the cleanliness level from the cloud data server and obtaining the number of fluorescence dots and the fluorescence dot spacing based on the fluorescence dot density corresponding to the cleanliness level of the cleaning management sub-area and the area of the cleaning management sub-area includes: The cloud data server includes a database of cleanliness level and fluorescence dot density. Obtain the corresponding fluorescence dot density according to the cleanliness level, and obtain the fluorescence dot spacing according to the fluorescence dot density; obtain the number of fluorescence dots according to the fluorescence dot density and the area of the cleaning management sub-area.
4. The cleaning management method based on fluorescent dotting according to claim 3, wherein, The fluorescence dot data management module performing fluorescence dotting on the cleaning management sub-area according to the obtained number of fluorescence dots and the fluorescence dot spacing to obtain the fluorescence dot distribution map of the cleaning management sub-area includes: The fluorescence dot data management module performs fluorescence dotting on the cleaning management sub-region according to the obtained number of fluorescence dots and the fluorescence dot spacing. After the dotting is completed, the fluorescence intensity of each fluorescence dot is collected. If the fluorescence intensity of each fluorescence dot is not less than the set fluorescence intensity threshold, a fluorescence dot distribution map is obtained. Otherwise, for the fluorescence dots with fluorescence intensity less than the set fluorescence intensity threshold, dotting is performed again, and the fluorescence intensity is collected again to obtain a fluorescence dot distribution map.
5. The cleaning management method based on fluorescent dotting according to claim 4, characterized in that Dividing the fluorescence dot distribution map of the cleaning management sub-region according to the cleaning data to obtain a sequence of fluorescence dot distribution comparison sub-graphs, collecting the fluorescence dot distribution map after cleaning the cleaning management sub-region, and dividing the fluorescence dot distribution map after cleaning the cleaning management sub-region to obtain a sequence of fluorescence dot distribution acceptance sub-graphs, including: The cleaning data includes the unit cleaning area and the cleaning order. Divide the fluorescence dot distribution map of the cleaning management sub-region according to the unit cleaning area to obtain a fluorescence dot distribution comparison sub-graph, and obtain a sequence of fluorescence dot distribution comparison sub-graphs according to the cleaning order; Divide the collected fluorescence dot distribution map after cleaning the cleaning management sub-region according to the unit cleaning area to obtain a fluorescence dot distribution acceptance sub-graph, and obtain a sequence of fluorescence dot distribution acceptance sub-graphs according to the cleaning order.
6. The cleaning management method based on fluorescence dotting according to claim 5, characterized in that, Comparing the sequence of fluorescence dot distribution comparison sub-graphs with the sequence of fluorescence dot distribution acceptance sub-graphs one by one to obtain the cleanliness of each fluorescence dot distribution acceptance sub-graph, including: Obtain the ratio of the number of fluorescence dots with fluorescence intensity less than the acceptance fluorescence threshold in the fluorescence dot distribution acceptance sub-graph to the number of fluorescence dots included in the corresponding fluorescence dot distribution comparison sub-graph to obtain the cleanliness of the fluorescence dot distribution acceptance sub-graph.
7. The cleaning management method based on fluorescence dotting according to claim 6, wherein The cleaning management sub-region completes cleaning to obtain the acceptance cleanliness of the cleaning management sub-region, including: Obtain the acceptance cleanliness of the cleaning management sub-region according to the average value of the acceptance cleanliness of each fluorescence dot distribution acceptance sub-graph in the sequence of fluorescence dot distribution acceptance sub-graphs.
8. The cleaning management method based on fluorescent dotting according to claim 7, wherein Obtain the cleaning acceptance level of the cleaning management region according to the acceptance cleanliness of each cleaning management sub-region and the corresponding acceptance weight, including: Obtain the acceptance cleanliness of the cleaning management region according to the product of the acceptance cleanliness of each cleaning management sub-region and the corresponding acceptance weight, and obtain the cleaning acceptance level of the cleaning management region according to the acceptance cleanliness level in the cloud data server.
9. A cleaning supervision system based on fluorescent dotting, characterized in that, Applying the cleaning management method based on fluorescence dotting according to any one of claims 1-8, including a cleaning management module, a cloud data server, a fluorescence dot data management module, a data processing module, and a communication module; The cleaning management module, the fluorescence dot data management module, and the communication module are respectively connected to the data processing module; the cloud data server is communicatively connected to the communication module.
Citation Information
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