Fluorescent point distribution-based cleaning management method and supervision system

Abstract

The invention relates to the field of data processing, in particular to a cleaning management method based on fluorescent point distribution and a supervision system. Comprising the steps that a cleaning management area is divided according to cleanliness, and cleaning management sub-areas corresponding to different cleanliness are obtained; obtaining a fluorescent point distribution density corresponding to the cleanliness from the cloud data server, and obtaining a fluorescent point distribution number and a fluorescent point distribution interval; the fluorescent point distribution data management module performs fluorescent point distribution on the cleaning management sub-region according to the obtained fluorescent point distribution number and fluorescent point distribution spacing to obtain a fluorescent point distribution distribution diagram of the cleaning management sub-region; dividing the fluorescent distribution point distribution diagram after cleaning of the cleaning management sub-region to obtain a fluorescent distribution point distribution acceptance sub-diagram sequence; and obtaining a 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 completing cleaning management of the cleaning management area. According to the cleaning device, the cleaning precision is improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a cleaning management method and a monitoring system based on fluorescent spot distribution. Background Art

[0002] In the field of cleaning management, traditional methods mainly rely on manual inspection and subjective judgment, which has many limitations. First, manual inspection is difficult to accurately quantify the cleaning effect, and can often only judge the degree of cleaning based on experience or vision, lacking objective and accurate data support. Secondly, traditional methods are difficult to achieve comprehensive supervision of the cleaning process and cannot monitor the cleaning status in real time, resulting in unstable cleaning effects and prone to cleaning blind spots or repeated cleaning.

[0003] In order to overcome these limitations, people began to explore new cleaning management methods. Among them, the cleaning management method based on fluorescent dots came into being. This method uses fluorescent dots as an indicator of cleaning effect and reflects the cleaning status in real time by monitoring the changes in fluorescence intensity. Fluorescent dots have the advantages of high sensitivity, fast response speed, and reusability, and can achieve accurate quantification of cleaning effects.

[0004] =However, there are still some problems with the existing cleaning management method based on fluorescent point distribution. For example, the density and location of fluorescent points are often determined by experience and lack scientific basis; the collection and processing of fluorescence intensity is complicated and requires professional equipment and technical support; the evaluation standards for cleaning effects are not unified, making it difficult to form a universal cleaning acceptance level. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a cleaning management method based on fluorescent spot distribution, comprising the following steps:

[0006] Step 1: divide the cleaning management area according to the cleanliness level to obtain cleaning management sub-areas corresponding to different cleanliness levels;

[0007] Step 2: Obtain the fluorescent point density corresponding to the cleanliness in the cloud data server, and obtain the number of fluorescent points and the fluorescent point spacing according to the fluorescent point 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 point distribution data management module distributes fluorescent points in the cleaning management sub-area according to the obtained number of fluorescent points and the fluorescent point distribution distance, and obtains a fluorescent point distribution map of the cleaning management sub-area;

[0009] Step 4: According to the cleaning data, the fluorescent point distribution map of the cleaning management sub-area is divided to obtain a fluorescent point distribution comparison sub-map sequence; the fluorescent point distribution map of the cleaning management sub-area after cleaning is collected, and the fluorescent point distribution map of the cleaning management sub-area after cleaning is divided to obtain a fluorescent point distribution acceptance sub-map sequence;

[0010] Step 5: Compare the fluorescent point distribution comparison sub-graph sequence with the fluorescent point distribution acceptance sub-graph sequence one by one, and obtain the cleanliness of each fluorescent point distribution acceptance sub-graph respectively. If there is a fluorescent point distribution acceptance sub-graph whose cleanliness is less than the qualified cleanliness corresponding to the cleaning management sub-region, proceed to step 6; otherwise, the cleaning management sub-region is cleaned, and the acceptance cleanliness of the cleaning management sub-region is obtained, and proceed to step 7;

[0011] Step 6: According to the fluorescent point distribution acceptance sub-map whose cleanliness is less than the cleanliness corresponding to the cleaning management sub-region, obtain the clean area corresponding to the cleaning management sub-region, send the clean area and cleanliness information corresponding to the cleaning management sub-region to the cleaning management module, perform re-cleaning, and return to step 4;

[0012] Step seven, according to the acceptance cleanliness 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.

[0013] Furthermore, the cleaning management area is divided according to the cleanliness to obtain cleaning management sub-areas corresponding to different cleanliness levels, including:

[0014] The cleaning area range corresponding to the same cleanliness level in the cleaning management area is obtained, and the cleaning management sub-area corresponding to the cleanliness level is obtained. According to different cleanliness levels, the cleaning management sub-areas corresponding to the cleanliness levels are obtained respectively, and the division of the cleaning management area is completed.

[0015] Furthermore, the fluorescent point density corresponding to the cleanliness is obtained in the cloud data server, and the number of fluorescent points and the fluorescent point spacing are obtained according to the fluorescent point density corresponding to the cleanliness of the cleaning management sub-area and the area of ​​the cleaning management sub-area, including:

[0016] The cloud data server includes a database of cleanliness and fluorescent point density. The corresponding fluorescent point density is obtained according to the cleanliness, and the fluorescent point spacing is obtained according to the fluorescent point density; the number of fluorescent points is obtained according to the fluorescent point density and the area of ​​the cleaning management sub-area.

[0017] Furthermore, the fluorescent point data management module performs fluorescent point distribution on the cleaning management sub-area according to the obtained number of fluorescent points and the fluorescent point spacing, and obtains a fluorescent point distribution map of the cleaning management sub-area, including:

[0018] The fluorescent dot data management module performs fluorescent dot distribution on the cleaning management sub-area according to the obtained number of fluorescent dots and the spacing between fluorescent dots. After the dot distribution is completed, the fluorescence intensity of each fluorescent dot is collected. If the fluorescence intensity of each fluorescent point is not less than the set fluorescence intensity threshold, a fluorescent dot distribution map is obtained. Otherwise, for the fluorescent points whose fluorescence intensity is less than the set fluorescence intensity threshold, the dot distribution is performed again, and the fluorescence intensity is collected again to obtain a fluorescent dot distribution map.

[0019] Further, the fluorescent dot distribution map of the cleaning management sub-area is divided according to the cleaning data to obtain a fluorescent dot distribution comparison sub-map sequence, the fluorescent dot distribution map of the cleaning management sub-area after cleaning is collected, and the fluorescent dot distribution map of the cleaning management sub-area after cleaning is divided to obtain a fluorescent dot distribution acceptance sub-map sequence, including:

[0020] The cleaning data includes a unit cleaning area and a cleaning sequence. According to the unit cleaning area, the fluorescent point distribution map of the cleaning management sub-area is divided to obtain a fluorescent point distribution comparison sub-map, and according to the cleaning sequence, a fluorescent point distribution comparison sub-map sequence is obtained;

[0021] According to the unit cleaning area, the fluorescent point distribution map of the cleaning management sub-area after cleaning is divided to obtain the fluorescent point distribution acceptance sub-map, and according to the cleaning order, a sequence of fluorescent point distribution acceptance sub-maps is obtained.

[0022] Furthermore, the fluorescent point distribution comparison sub-graph sequence and the fluorescent point distribution acceptance sub-graph sequence are compared one by one to obtain the cleanliness of each fluorescent point distribution acceptance sub-graph, including:

[0023] The number of fluorescent points with fluorescence intensity less than the acceptance fluorescence threshold in the fluorescent point distribution acceptance sub-map is obtained, and the ratio of the number of fluorescent points contained in the corresponding fluorescent point distribution comparison sub-map is obtained to obtain the cleanliness of the fluorescent point distribution acceptance sub-map.

[0024] Furthermore, the cleaning management sub-area completes cleaning and obtains the acceptance cleanliness of the cleaning management sub-area, including:

[0025] The acceptance cleanliness of the cleaning management sub-area is obtained according to the average value of the acceptance cleanliness of each fluorescent point distribution acceptance sub-graph in the fluorescent point distribution acceptance sub-graph sequence.

[0026] Furthermore, 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:

[0027] The acceptance cleanliness of the cleaning management area is obtained according to the product of the acceptance cleanliness of each cleaning management sub-area and the corresponding acceptance weight, and the cleaning acceptance level of the cleaning management area is obtained according to the acceptance cleanliness level in the cloud data server.

[0028] A cleaning supervision system based on fluorescent dot distribution, applying the cleaning management method based on fluorescent dot distribution, including a cleaning management module, a cloud data server, a fluorescent dot distribution data management module, a data processing module and a communication module;

[0029] The cleaning management module, fluorescent spot data management module and 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: improving cleaning efficiency and accuracy: through the precise division and real-time monitoring of fluorescent points, cleaning staff can perform cleaning operations more targetedly, avoiding ineffective labor and repeated cleaning, and significantly improving cleaning efficiency. The fluorescence intensity of the fluorescent points can reflect the cleaning status in real time, making it possible to quantitatively evaluate the cleaning effect, thereby improving the accuracy of cleaning.

[0031] Ensure continuous cleanliness and sanitation quality: Once the fluorescence intensity of the fluorescent point is lower than the set threshold, it can be discovered and handled in time, ensuring the continuous cleanliness of the environment or equipment. This method helps to maintain high standards of sanitation quality, which is especially important for places with strict requirements on environmental cleanliness, such as hospitals and food production lines.

[0032] Innovative supervision methods and improved management level: The cleaning management method based on fluorescent spot distribution provides a new means for cleaning supervision. With the support of cloud data server and data processing module, comprehensive and real-time supervision of the cleaning process is realized. This not only improves the efficiency of cleaning management, but also makes management more scientific and standardized, which helps to improve the overall management level. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of the cleaning management method based on fluorescent spot distribution;

[0034] Figure 2 This is a schematic diagram of the principle of a cleaning monitoring system based on fluorescent dots;

[0035] Figure 3 This is a schematic diagram of the cloud data server. DETAILED DESCRIPTION

[0036] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following.

[0037] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.

[0038] like Figure 1 As shown, the cleaning management method based on fluorescent spot distribution includes the following steps:

[0039] Step 1: divide the cleaning management area according to the cleanliness level to obtain cleaning management sub-areas corresponding to different cleanliness levels;

[0040] Step 2: Obtain the fluorescent point density corresponding to the cleanliness in the cloud data server, and obtain the number of fluorescent points and the fluorescent point spacing according to the fluorescent point density corresponding to the cleanliness of the cleaning management sub-area and the area of ​​the cleaning management sub-area;

[0041] Step 3: The fluorescent point distribution data management module distributes fluorescent points in the cleaning management sub-area according to the obtained number of fluorescent points and the fluorescent point distribution distance, and obtains a fluorescent point distribution map of the cleaning management sub-area;

[0042] Step 4: According to the cleaning data, the fluorescent point distribution map of the cleaning management sub-area is divided to obtain a fluorescent point distribution comparison sub-map sequence; the fluorescent point distribution map of the cleaning management sub-area after cleaning is collected, and the fluorescent point distribution map of the cleaning management sub-area after cleaning is divided to obtain a fluorescent point distribution acceptance sub-map sequence;

[0043] Step 5: Compare the fluorescent point distribution comparison sub-graph sequence with the fluorescent point distribution acceptance sub-graph sequence one by one, and obtain the cleanliness of each fluorescent point distribution acceptance sub-graph respectively. If there is a fluorescent point distribution acceptance sub-graph whose cleanliness is less than the qualified cleanliness corresponding to the cleaning management sub-region, proceed to step 6; otherwise, the cleaning management sub-region is cleaned, and the acceptance cleanliness of the cleaning management sub-region is obtained, and proceed to step 7;

[0044] Step 6: According to the fluorescent point distribution acceptance sub-map whose cleanliness is less than the cleanliness corresponding to the cleaning management sub-region, obtain the clean area corresponding to the cleaning management sub-region, send the clean area and cleanliness information corresponding to the cleaning management sub-region to the cleaning management module, perform re-cleaning, and return to step 4;

[0045] Step seven, according to the acceptance cleanliness 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.

[0046] The cleaning management area is divided according to the cleanliness to obtain cleaning management sub-areas corresponding to different cleanliness levels, including:

[0047] The cleaning area range corresponding to the same cleanliness level in the cleaning management area is obtained, and the cleaning management sub-area corresponding to the cleanliness level is obtained. According to different cleanliness levels, the cleaning management sub-areas corresponding to the cleanliness levels are obtained respectively, and the division of the cleaning management area is completed.

[0048] The method of obtaining the fluorescent point density corresponding to the cleanliness in the cloud data server, and obtaining the number of fluorescent points and the fluorescent point spacing according to the fluorescent point density corresponding to the cleanliness of the cleaning management sub-area and the area of ​​the cleaning management sub-area, includes:

[0049] The cloud data server includes a database of cleanliness and fluorescent point density. The corresponding fluorescent point density is obtained according to the cleanliness, and the fluorescent point spacing is obtained according to the fluorescent point density; the number of fluorescent points is obtained according to the fluorescent point density and the area of ​​the cleaning management sub-area.

[0050] The fluorescent point data management module performs fluorescent point distribution on the cleaning management sub-area according to the obtained number of fluorescent points and the fluorescent point spacing, and obtains a fluorescent point distribution map of the cleaning management sub-area, including:

[0051] The fluorescent dot data management module performs fluorescent dot distribution on the cleaning management sub-area according to the obtained number of fluorescent dots and the spacing between fluorescent dots. After the dot distribution is completed, the fluorescence intensity of each fluorescent dot is collected. If the fluorescence intensity of each fluorescent point is not less than the set fluorescence intensity threshold, a fluorescent dot distribution map is obtained. Otherwise, for the fluorescent points whose fluorescence intensity is less than the set fluorescence intensity threshold, the dot distribution is performed again, and the fluorescence intensity is collected again to obtain a fluorescent dot distribution map.

[0052] The fluorescent point distribution map of the cleaning management sub-area is divided according to the cleaning data to obtain a fluorescent point distribution comparison sub-map sequence, the fluorescent point distribution map of the cleaning management sub-area after cleaning is collected, and the fluorescent point distribution map of the cleaning management sub-area after cleaning is divided to obtain a fluorescent point distribution acceptance sub-map sequence, including:

[0053] The cleaning data includes a unit cleaning area and a cleaning sequence. According to the unit cleaning area, the fluorescent point distribution map of the cleaning management sub-area is divided to obtain a fluorescent point distribution comparison sub-map, and according to the cleaning sequence, a fluorescent point distribution comparison sub-map sequence is obtained;

[0054] According to the unit cleaning area, the fluorescent point distribution map of the cleaning management sub-area after cleaning is divided to obtain the fluorescent point distribution acceptance sub-map, and according to the cleaning order, a sequence of fluorescent point distribution acceptance sub-maps is obtained.

[0055] The step of comparing the fluorescence point distribution comparison sub-graph sequence with the fluorescence point distribution acceptance sub-graph sequence one by one to obtain the cleanliness of each fluorescence point distribution acceptance sub-graph includes:

[0056] The number of fluorescent points with fluorescence intensity less than the acceptance fluorescence threshold in the fluorescent point distribution acceptance sub-map is obtained, and the ratio of the number of fluorescent points contained in the corresponding fluorescent point distribution comparison sub-map is obtained to obtain the cleanliness of the fluorescent point distribution acceptance sub-map.

[0057] The cleaning management sub-area completes cleaning and obtains the acceptance cleanliness of the cleaning management sub-area, including:

[0058] The acceptance cleanliness of the cleaning management sub-area is obtained according to the average value of the acceptance cleanliness of each fluorescent point distribution acceptance sub-graph in the fluorescent point distribution acceptance sub-graph sequence.

[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] The acceptance cleanliness of the cleaning management area is obtained according to the product of the acceptance cleanliness of each cleaning management sub-area and the corresponding acceptance weight, and the cleaning acceptance level of the cleaning management area is obtained according to the acceptance cleanliness level in the cloud data server.

[0061] like Figure 2 As shown, the cleaning supervision system based on fluorescent dot distribution is characterized in that the cleaning management method based on fluorescent dot distribution described in any one of claims 1 to 8 is applied, including a cleaning management module, a cloud data server, a fluorescent dot distribution data management module, a data processing module and a communication module;

[0062] The cleaning management module, fluorescent spot data management module and communication module are respectively connected to the data processing module; the cloud data server is communicatively connected to the communication module.

[0063] like Figure 3 As shown, the cloud data server includes an acceptance cleanliness grade database and a cleanliness and fluorescent spot density database.

[0064] Specific steps of the cleaning management method based on fluorescent spot distribution

[0065] Step 1: Division of cleaning management areas

[0066] Obtain cleanliness data: First, a comprehensive cleanliness inspection of the cleaning management area is required to obtain cleanliness data for different areas.

[0067] Area division: Based on the cleanliness data, the cleaning management area is divided into multiple sub-areas with different cleanliness levels. This step is the basis for subsequent fluorescent spot distribution.

[0068] Specifically, the cleaning area range corresponding to the same cleanliness level in the cleaning management area is obtained to obtain the cleaning management sub-area corresponding to the cleanliness level. According to different cleanliness levels, the cleaning management sub-areas corresponding to the cleanliness levels are obtained respectively to complete the division of the cleaning management area.

[0069] Step 2: Determine the density of fluorescent spots

[0070] Cloud data server query: Query the fluorescent spot density corresponding to different cleanliness levels in the cloud data server.

[0071] Calculate the number and spacing of fluorescent dots: Calculate the required number and spacing of fluorescent dots based on the cleanliness of the cleaning management sub-area and the corresponding fluorescent dot density, as well as the area of ​​the sub-area.

[0072] The cloud data server includes a database of cleanliness and fluorescent point density. The corresponding fluorescent point density is obtained according to the cleanliness, and the fluorescent point spacing is obtained according to the fluorescent point density; the number of fluorescent points is obtained according to the fluorescent point density and the area of ​​the cleaning management sub-area.

[0073] Step 3: Implementation of fluorescent spot distribution

[0074] Point distribution operation: The fluorescent point distribution data management module performs fluorescent point distribution in the cleaning management sub-area according to the calculated number and spacing of fluorescent points.

[0075] Fluorescence intensity detection: After the points are laid, the fluorescence intensity of each fluorescent point is collected to ensure that the fluorescence intensity of all points is not lower than the set threshold.

[0076] The fluorescent dot data management module performs fluorescent dot distribution on the cleaning management sub-area according to the obtained number of fluorescent dots and the spacing between fluorescent dots. After the dot distribution is completed, the fluorescence intensity of each fluorescent dot is collected. If the fluorescence intensity of each fluorescent point is not less than the set fluorescence intensity threshold, a fluorescent dot distribution map is obtained. Otherwise, for the fluorescent points whose fluorescence intensity is less than the set fluorescence intensity threshold, the dot distribution is performed again, and the fluorescence intensity is collected again to obtain a fluorescent dot distribution map.

[0077] Step 4: Division of the fluorescence distribution map

[0078] Cleaning data acquisition: Acquire cleaning data such as unit cleaning area and cleaning sequence of the cleaning management sub-area.

[0079] Distribution map division: According to the unit cleaning area, the fluorescent point distribution map is divided into multiple comparison sub-maps, and a comparison sub-map sequence is formed according to the cleaning order. At the same time, the fluorescent point distribution map after cleaning is also divided in the same way to form an acceptance sub-map sequence.

[0080] The cleaning data includes a unit cleaning area and a cleaning sequence. According to the unit cleaning area, the fluorescent dot distribution map of the cleaning management sub-area is divided to obtain a fluorescent dot distribution comparison sub-map, and according to the cleaning sequence, a fluorescent dot distribution comparison sub-map sequence is obtained; according to the unit cleaning area, the fluorescent dot distribution map of the cleaning management sub-area after cleaning is collected and divided to obtain a fluorescent dot distribution acceptance sub-map, and according to the cleaning sequence, a fluorescent dot distribution acceptance sub-map sequence is obtained.

[0081] Step 5: Cleanliness comparison and evaluation

[0082] Comparison operation: Compare the fluorescence point distribution comparison sub-image sequence with the acceptance sub-image sequence one by one.

[0083] Cleanliness calculation: The cleanliness of each acceptance sub-graph is calculated by comparison, that is, the ratio of the number of points in the acceptance sub-graph with fluorescence intensity lower than the acceptance threshold to the number of points in the comparison sub-graph.

[0084] Cleaning judgment: If the cleanliness of all acceptance sub-images is not lower than the qualified standard, the cleaning management sub-area completes cleaning; otherwise, go to step six for re-cleaning.

[0085] The number of fluorescent points with fluorescence intensity less than the acceptance fluorescence threshold in the fluorescent point distribution acceptance sub-map is obtained, and the ratio of the number of fluorescent points contained in the corresponding fluorescent point distribution comparison sub-map is obtained to obtain the cleanliness of the fluorescent point distribution acceptance sub-map.

[0086] Step 6: Re-clean

[0087] Cleaning area determination: Based on the acceptance sub-map where the cleanliness level is below the standard, determine the areas that need to be re-cleaned.

[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 re-clean.

[0089] Return to step 4: After re-cleaning is completed, return to step 4 to divide the fluorescent point distribution map and compare the cleanliness again.

[0090] Step 7: Determination of Cleaning Acceptance Level

[0091] Acceptance cleanliness calculation: Based on the acceptance cleanliness of each cleaning management sub-area, calculate the average value as the acceptance cleanliness of the sub-area.

[0092] Determination of cleaning acceptance level: Calculate the overall acceptance cleanliness of the cleaning management area based on the acceptance cleanliness of each sub-area and the corresponding acceptance weight, and determine the cleaning acceptance level of the cleaning management area based on the acceptance cleanliness level standard in the cloud data server.

[0093] The cleaning management sub-area completes cleaning and obtains the acceptance cleanliness of the cleaning management sub-area, including: obtaining the acceptance cleanliness of the cleaning management sub-area based on the average acceptance cleanliness of each fluorescent point distribution acceptance sub-graph in the fluorescent 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-area 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-area 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] 3. Cleaning supervision system based on fluorescent dots

[0096] In order to realize the above cleaning management method, we designed a cleaning supervision system based on fluorescent spot distribution. The system includes a cleaning management module, a cloud data server, a fluorescent spot distribution 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 perform corresponding cleaning operations.

[0098] Cloud data server: stores data such as the correspondence between cleanliness and fluorescent spot density, acceptance cleanliness level, etc., to provide data support for the system.

[0099] Fluorescence point data management module: used for the layout of fluorescent points, collection of fluorescence intensity and generation of fluorescent point distribution map.

[0100] Data processing module: It is the core of the system and is used to execute the above-mentioned cleaning management methods, including area division, determination of fluorescent spot density, comparison and evaluation of cleanliness, etc.

[0101] Communication module: used for data transmission and communication between modules of the system.

[0102] Example 1: Cleanliness management of hospital wards

[0103] Hospital wards are important places for patient treatment and rehabilitation, and their cleanliness is directly related to the health and safety of patients. Traditional cleaning management methods often rely on manual inspection and subjective judgment, and it is difficult to accurately quantify the cleaning effect. Therefore, this embodiment applies the cleaning management method based on fluorescent spot distribution to the cleaning management of hospital wards, aiming to improve cleaning efficiency and ensure the sanitary quality of the ward environment.

[0104] 2. Implementation steps

[0105] Cleaning management area division

[0106] First, conduct a comprehensive cleanliness test on the hospital wards. Use professional cleanliness testing equipment to sample and analyze each area in the ward to obtain cleanliness data for different areas. Based on the cleanliness data, divide the ward into multiple sub-areas with different cleanliness levels, such as the bed area, floor area, and table area.

[0107] Determination of fluorescent spot density

[0108] Query the fluorescent point density corresponding to different cleanliness levels in the cloud data server. Calculate the required number of fluorescent points and the spacing between points based on the cleanliness of each sub-area in the ward and the corresponding fluorescent point density, as well as the area of ​​the sub-area. For example, for the bed area with higher cleanliness requirements, the fluorescent point density should be relatively high and the spacing between points should be relatively small.

[0109] Fluorescent spot implementation

[0110] Use the fluorescent spot data management module to place fluorescent spots in each sub-area of ​​the ward according to the calculated number and spacing of fluorescent spots. After the spots are placed, collect the fluorescence intensity of each fluorescent 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-place the spots and collect the fluorescence intensity again until all spots meet the requirements.

[0111] Division of fluorescence point distribution map

[0112] The cleaning data of the ward, such as the unit cleaning area and cleaning sequence, are obtained. According to the unit cleaning area, the fluorescent point distribution map is divided into multiple comparison sub-graphs, and a comparison sub-graph sequence is formed according to the cleaning sequence. At the same time, the fluorescent point distribution map after cleaning is also divided in the same way to form an acceptance sub-graph sequence.

[0113] Cleanliness comparison and evaluation

[0114] Compare the fluorescence point distribution comparison sub-graph sequence with the acceptance sub-graph sequence one by one. Through the comparison, calculate the cleanliness of each acceptance sub-graph, that is, the ratio of the number of points in the acceptance sub-graph with fluorescence intensity lower than the acceptance threshold to the number of points in the comparison sub-graph. If the cleanliness of all acceptance sub-graphs is not lower than the qualified standard, the ward is cleaned; otherwise, enter the re-cleaning process.

[0115] Re-clean

[0116] According to the acceptance sub-map with cleanliness below the standard, determine the area that needs to be re-cleaned. Send the area that needs to be re-cleaned and the corresponding cleanliness information to the cleaning management module, instructing it to re-clean. After the re-cleaning is completed, return to the fluorescent point distribution map division and cleanliness comparison steps for another evaluation.

[0117] Cleaning acceptance level determination

[0118] According to the acceptance cleanliness of each sub-area in the ward, the average value is calculated as the acceptance cleanliness of the ward. According to the acceptance cleanliness and the corresponding acceptance weight, the overall acceptance cleanliness of the ward is calculated. Finally, according to the acceptance cleanliness grade standard in the cloud data server, the cleanliness acceptance grade of the ward is determined.

[0119] By implementing a cleaning management method based on fluorescent spot placement, the cleaning efficiency of hospital wards has been significantly improved. The precise placement of fluorescent spots and the real-time collection of fluorescence intensity make it possible to quantitatively evaluate the cleaning effect. At the same time, this method also achieves comprehensive supervision of the cleaning process and ensures the sanitary quality of the ward environment.

[0120] Example 2: Cleanliness management of food production line

[0121] As an important part of food production, the cleanliness of the food production line is directly related to the safety and quality of food. Traditional cleaning management methods often rely on manual inspection and chemical reagent testing, which makes it difficult to accurately quantify and comprehensively supervise the cleaning effect. Therefore, this embodiment applies the cleaning management method based on fluorescent spot distribution to the cleaning management of the food production line, aiming to improve the cleaning efficiency and ensure the sanitary quality of the food production environment.

[0122] 2. Implementation steps

[0123] Cleaning management area division

[0124] Conduct a comprehensive cleanliness test on the food production line. Use professional cleanliness testing equipment to sample and analyze various areas on the production line to obtain cleanliness data for different areas. Based on the cleanliness data, divide the production line into multiple sub-areas with different cleanliness levels, such as equipment surface area, conveyor belt area, operating table area, etc.

[0125] Determination of fluorescent spot density

[0126] Query the fluorescent dot density corresponding to different cleanliness levels in the cloud data server. Calculate the required number of fluorescent dots and dot spacing based on the cleanliness of each sub-area in the production line and the corresponding fluorescent dot density, as well as the area of ​​the sub-area. For example, for equipment surface areas with higher cleanliness requirements, the fluorescent dot density should be relatively high and the dot spacing should be relatively small.

[0127] Fluorescent spot implementation

[0128] Use the fluorescent dot data management module to perform fluorescent dot placement in each sub-area of ​​the production line based on the calculated number and spacing of fluorescent dots. After the dots are placed, 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-place the dots and collect the fluorescence intensity again until all dots meet the requirements.

[0129] Division of fluorescence point distribution map

[0130] The cleaning data of the production line such as the unit cleaning area and cleaning sequence are obtained. According to the unit cleaning area, the fluorescent point distribution map is divided into multiple comparison sub-maps, and a comparison sub-map sequence is formed according to the cleaning sequence. At the same time, the fluorescent point distribution map after cleaning is also divided in the same way to form an acceptance sub-map sequence.

[0131] Cleanliness comparison and evaluation

[0132] Compare the fluorescence distribution comparison sub-graph sequence with the acceptance sub-graph sequence one by one. Through the comparison, calculate the cleanliness of each acceptance sub-graph, that is, the ratio of the number of points in the acceptance sub-graph with fluorescence intensity lower than the acceptance threshold to the number of points in the comparison sub-graph. If the cleanliness of all acceptance sub-graphs is not lower than the qualified standard, the production line is cleaned; otherwise, enter the re-cleaning process.

[0133] Re-clean

[0134] According to the acceptance sub-map with cleanliness below the standard, determine the area that needs to be re-cleaned. Send the area that needs to be re-cleaned and the corresponding cleanliness information to the cleaning management module, instructing it to re-clean. After the re-cleaning is completed, return to the fluorescent point distribution map division and cleanliness comparison steps for another evaluation.

[0135] Cleaning acceptance level determination

[0136] According to the acceptance cleanliness of each sub-area in the production line, the average value is calculated as the acceptance cleanliness of the production line. According to the acceptance cleanliness and the corresponding acceptance weight, the overall acceptance cleanliness of the production line is calculated. Finally, according to the acceptance cleanliness grade standard in the cloud data server, the cleanliness acceptance grade of the production line is determined.

[0137] By implementing a cleaning management method based on fluorescent spot placement, the cleaning efficiency of the food production line has been significantly improved. The precise placement of fluorescent spots and the real-time collection of fluorescence intensity make it possible to quantitatively evaluate the cleaning effect. At the same time, this method also achieves comprehensive supervision of the cleaning process and ensures the sanitary quality of the food production environment.

Claims

1. Cleaning management method based on fluorescent spot distribution, It is characterized in that The steps include: 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 fluorescent point density corresponding to the cleanliness in the cloud data server, and obtain the number of fluorescent points and the fluorescent point spacing according to the fluorescent point density corresponding to the cleanliness of the cleaning management sub-area and the area of ​​the cleaning management sub-area; Step 3: The fluorescent point distribution data management module distributes fluorescent points in the cleaning management sub-area according to the obtained number of fluorescent points and the fluorescent point distribution distance, and obtains a fluorescent point distribution map of the cleaning management sub-area; Step 4: divide the fluorescent point distribution map of the cleaning management sub-area according to the cleaning data to obtain a fluorescent point distribution comparison sub-map sequence; Collect the fluorescent point distribution map of the cleaning management sub-area after cleaning, divide the fluorescent point distribution map of the cleaning management sub-area after cleaning, and obtain a sequence of fluorescent point distribution acceptance sub-maps; Step 5: Compare the fluorescent point distribution comparison sub-graph sequence with the fluorescent point distribution acceptance sub-graph sequence one by one, and obtain the cleanliness of each fluorescent point distribution acceptance sub-graph respectively. If there is a fluorescent point distribution acceptance sub-graph whose cleanliness is less than the qualified cleanliness corresponding to the cleaning management sub-region, proceed to step 6; otherwise, the cleaning management sub-region is cleaned, and the acceptance cleanliness of the cleaning management sub-region is obtained, and proceed to step 7; Step 6: According to the fluorescent point distribution acceptance sub-map whose cleanliness is less than the cleanliness corresponding to the cleaning management sub-region, obtain the clean area corresponding to the cleaning management sub-region, send the clean area and cleanliness information corresponding to the cleaning management sub-region to the cleaning management module, perform re-cleaning, and return to step 4; Step seven, according to the acceptance cleanliness 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 spot distribution according to claim 1, It is characterized in that The cleaning management area is divided according to the cleanliness to obtain cleaning management sub-areas corresponding to different cleanliness levels, including: The cleaning area range corresponding to the same cleanliness level in the cleaning management area is obtained, and the cleaning management sub-area corresponding to the cleanliness level is obtained. According to different cleanliness levels, the cleaning management sub-areas corresponding to the cleanliness levels are obtained respectively, and the division of the cleaning management area is completed.

3. The cleaning management method based on fluorescent spot distribution according to claim 2, It is characterized in that The method of obtaining the fluorescent point density corresponding to the cleanliness in the cloud data server, and obtaining the number of fluorescent points and the fluorescent point spacing according to the fluorescent point density corresponding to the cleanliness 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 and fluorescent point density. The corresponding fluorescent point density is obtained according to the cleanliness, and the fluorescent point spacing is obtained according to the fluorescent point density; the number of fluorescent points is obtained according to the fluorescent point density and the area of ​​the cleaning management sub-area.

4. The cleaning management method based on fluorescent spot distribution according to claim 3, It is characterized in that The fluorescent point data management module performs fluorescent point distribution on the cleaning management sub-area according to the obtained number of fluorescent points and the fluorescent point spacing, and obtains a fluorescent point distribution map of the cleaning management sub-area, including: The fluorescent dot data management module performs fluorescent dot distribution on the cleaning management sub-area according to the obtained number of fluorescent dots and the spacing between fluorescent dots. After the dot distribution is completed, the fluorescence intensity of each fluorescent dot is collected. If the fluorescence intensity of each fluorescent point is not less than the set fluorescence intensity threshold, a fluorescent dot distribution map is obtained. Otherwise, for the fluorescent points whose fluorescence intensity is less than the set fluorescence intensity threshold, the dot distribution is performed again, and the fluorescence intensity is collected again to obtain a fluorescent dot distribution map.

5. The cleaning management method based on fluorescent spot distribution according to claim 4, It is characterized in that The fluorescent point distribution map of the cleaning management sub-area is divided according to the cleaning data to obtain a fluorescent point distribution comparison sub-map sequence, the fluorescent point distribution map of the cleaning management sub-area after cleaning is collected, and the fluorescent point distribution map of the cleaning management sub-area after cleaning is divided to obtain a fluorescent point distribution acceptance sub-map sequence, including: The cleaning data includes a unit cleaning area and a cleaning sequence. According to the unit cleaning area, the fluorescent point distribution map of the cleaning management sub-area is divided to obtain a fluorescent point distribution comparison sub-map, and according to the cleaning sequence, a fluorescent point distribution comparison sub-map sequence is obtained; According to the unit cleaning area, the fluorescent point distribution map of the cleaning management sub-area after cleaning is divided to obtain the fluorescent point distribution acceptance sub-map, and according to the cleaning order, a sequence of fluorescent point distribution acceptance sub-maps is obtained.

6. The cleaning management method based on fluorescent spot distribution according to claim 5, It is characterized in that The step of comparing the fluorescence point distribution comparison sub-graph sequence with the fluorescence point distribution acceptance sub-graph sequence one by one to obtain the cleanliness of each fluorescence point distribution acceptance sub-graph includes: The number of fluorescent points with fluorescence intensity less than the acceptance fluorescence threshold in the fluorescent point distribution acceptance sub-map is obtained, and the ratio of the number of fluorescent points contained in the corresponding fluorescent point distribution comparison sub-map is obtained to obtain the cleanliness of the fluorescent point distribution acceptance sub-map.

7. The cleaning management method based on fluorescent spot distribution according to claim 6, It is characterized in that The cleaning management sub-area completes cleaning and obtains the acceptance cleanliness of the cleaning management sub-area, including: The acceptance cleanliness of the cleaning management sub-area is obtained according to the average value of the acceptance cleanliness of each fluorescent point distribution acceptance sub-graph in the fluorescent point distribution acceptance sub-graph sequence.

8. The cleaning management method based on fluorescent spot distribution according to claim 7, It is characterized in that 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: The acceptance cleanliness of the cleaning management area is obtained according to the product of the acceptance cleanliness of each cleaning management sub-area and the corresponding acceptance weight, and the cleaning acceptance level of the cleaning management area is obtained according to the acceptance cleanliness level in the cloud data server.

9. Cleaning supervision system based on fluorescent dots, It is characterized in that The cleaning management method based on fluorescent spot distribution according to any one of claims 1 to 8 is applied, comprising a cleaning management module, a cloud data server, a fluorescent spot distribution data management module, a data processing module and a communication module; The cleaning management module, fluorescent spot data management module and communication module are respectively connected to the data processing module; the cloud data server is communicatively connected to the communication module.

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