Intelligent management system

Abstract

The invention relates to the technical field of intelligent management, in particular to an intelligent management system, which comprises an environmental parameter acquisition module; a towel parameter acquisition module; the data analysis module is used for constructing an environment parameter time domain curve according to the collected towel placement environment parameters, determining the cleaning frequency of the towels according to the towel placement environment parameters and calculating the time domain dispersion of the environment parameters of all collection time nodes in the environment parameter time domain curve; a self-adjusting module; a cleaning module; according to the method, the cleaning frequency for the towel is preliminarily determined according to the temperature and humidity of the environment, and the situation that the breeding speed of microorganisms on the towel is increased due to the fact that the temperature and humidity change frequency of the towel storage environment is high is considered, the variance of the environment temperature and humidity in the period is calculated; the influence of the environment on the breeding condition of microorganisms on the towel is analyzed according to the change condition of the environment temperature and humidity, and the cleaning degree of the towel is further adjusted according to the influence degree of the environment on the towel.

Description

Technical Field

[0001] The present invention relates to the field of intelligent management technology, and in particular to an intelligent management system. Background Art

[0002] Towels are essential daily necessities in our lives, and their cleanliness status will have a great impact on people. The existing technology uses smart towel racks to regularly collect towel information, regularly heat and disinfect towels, and improve user satisfaction. However, due to the different usage environments of towels, environmental parameters will affect the status of towels. For example, the temperature and humidity in shower rooms vary greatly, and towels are prone to breed bacteria and microorganisms. If towels are cleaned according to fixed cleaning parameters, the daily cleaning level of towels will be insufficient.

[0003] Chinese patent publication number: CN117481540A discloses an intelligent electric heated towel rack, comprising: a housing and a control component arranged on the housing, the control component comprising an intelligent control module, a power module, a timing module, a display module, a variable frequency heating module, a network module and a temperature sensing module connected electrically, the intelligent control module is respectively connected with the power module, the timing module, the display module, the variable frequency heating module, the network module and the temperature sensing module, the intelligent control module is used to control the connection of the power module, the timing module, the display module, the variable frequency heating module, the network module and the temperature sensing module, the power module is used to supply power to the towel rack, the timing module is used to manage the timing of the towel rack, the display module is used to display the information of the towel rack, the variable frequency heating module is used to perform variable frequency heating for the towel rack, and the network module is used to connect with the electronic device through the network. It can provide users with a variety of usage scenarios and improve user satisfaction.

[0004] However, the prior art still has the following problems:

[0005] The impact of environmental changes on the growth of microorganisms on towels is not taken into consideration, resulting in insufficient cleanliness of the towels and affecting the subsequent use of the towels. Summary of the invention

[0006] To this end, the present invention provides an intelligent management system to overcome the problem in the prior art that the influence of environmental changes on the growth of microorganisms on towels is not considered, thereby resulting in insufficient cleanliness of the towels and affecting the subsequent use of the towels.

[0007] To achieve the above-mentioned purpose, the present invention provides an intelligent management system. It includes:

[0008] An environmental parameter collection module, which includes an environmental temperature collection unit and an environmental humidity collection unit for collecting environmental parameters of towel placement;

[0009] A towel parameter collection module, which includes a recording unit for collecting the frequency of towel use and a monitoring unit for collecting the microbial conditions on the towel;

[0010] a data analysis module, which is connected to the environmental parameter acquisition module and the towel parameter acquisition module, and is used to construct an environmental parameter time domain curve according to the collected towel placement environmental parameters, determine the cleaning frequency of the towel according to the towel placement environmental parameters, calculate the time domain discreteness of the environmental parameters at each acquisition time node in the environmental parameter time domain curve, calculate the environmental change interference characterization value for the towel based on the calculated time domain discreteness of the environmental parameters, and determine the environmental change interference category of the towel according to the environmental change interference characterization value;

[0011] The self-adjusting module is connected to the data analysis module and is used to determine the subsequent processing parameters of the towel according to the interference category of the environmental change of the towel, including:

[0012] Calculate the slope mean of each acquisition time node of the environmental parameter time domain curve, increase the cleaning frequency of the towel according to the slope mean, and correct the single cleaning time of the towel according to the frequency of towel use,

[0013] Or, maintain the initial towel cleaning frequency;

[0014] A cleaning module connected to the self-adjusting module for displaying cleaning parameters required for cleaning the towels according to the towel cleaning parameters determined by the self-adjusting module, the cleaning parameters including cleaning frequency and cleaning duration;

[0015] The reminder module is connected to the towel parameter acquisition module and is used to analyze whether to send a signal to replace the towel according to the change of the number of microorganisms on the towel.

[0016] Furthermore, the data analysis module determines the cleaning frequency of the towel according to the towel placement environment parameters, including:

[0017] Get the temperature of the environment where the towel is placed within a predetermined period.

[0018] Calculate the mean temperature of each acquisition time node,

[0019] If the temperature mean is greater than or equal to the preset temperature mean standard threshold, the data analysis module determines that the cleaning frequency of the towel is a first-level cleaning frequency;

[0020] If the temperature mean is less than the preset temperature mean standard threshold, the data analysis module determines that the cleaning frequency of the towel is the secondary cleaning frequency.

[0021] Furthermore, the step of calculating the time domain discreteness of the environmental parameter at each acquisition time node in the environmental parameter time domain curve includes:

[0022] Get the ambient temperature value of each acquisition time node in the environmental parameter time domain curve,

[0023] Calculate the temperature variance for each ambient temperature value,

[0024] Get the ambient humidity at each acquisition time node in the environmental parameter time domain curve.

[0025] Calculate the humidity variance for each ambient humidity value.

[0026] Furthermore, the data analysis module calculates the environmental change interference characterization value for the towel based on the calculated time domain discreteness of the environmental parameters, including:

[0027] Solving the ratio of the temperature variance to the preset temperature variance standard threshold value to obtain a first temperature change feature,

[0028] Solving the ratio of the humidity variance to a preset humidity variance standard threshold, obtaining a second humidity change feature,

[0029] The first temperature change feature and the second humidity change feature are weighted and summed to obtain an environmental change interference characterization value.

[0030] Further, the data analysis module determines the environmental change interference category of the towel according to the environmental change interference characterization value, including:

[0031] If the environmental change interference characterization value is greater than or equal to a preset environmental change interference characterization value standard threshold, the data analysis module determines that the towel is in the environmental change strong interference category;

[0032] If the environmental change interference characterization value is less than the preset environmental change interference characterization value standard threshold, the data analysis module determines that the towel is a weak environmental change interference category.

[0033] Furthermore, the self-adjusting module determines the towel subsequent processing parameters according to the environmental change interference category of the towel, including:

[0034] If the towel is a category with strong interference from environmental changes, the self-adjustment module calculates the slope mean of each acquisition time node of the environmental parameter time domain curve, adjusts the cleaning frequency of the towel according to the slope mean, and corrects the single cleaning time of the towel according to the frequency of use of the towel;

[0035] If the towel is of the weak interference type due to environmental changes, the self-adjusting module maintains the initial towel cleaning frequency.

[0036] Furthermore, the self-adjusting module calculates the mean slope of each acquisition time node of the environmental parameter time domain curve, including:

[0037] Calculate the slope of each acquisition time node in the time domain curve of the ambient temperature when the towel is placed, and obtain the first characteristic slope.

[0038] Calculate the slope of each acquisition time node in the time domain curve of the humidity of the environment where the towel is placed, and obtain the second characteristic slope.

[0039] Calculate the mean of the first characteristic slope and the second characteristic slope.

[0040] Furthermore, the self-adjusting module increases the cleaning frequency of the towel according to the slope mean, wherein:

[0041] The increase in the frequency of towel cleaning is positively correlated with the mean slope.

[0042] Furthermore, the self-adjusting module corrects the single cleaning time of the towel according to the frequency of use of the towel, wherein:

[0043] The increase in the single cleaning time is positively correlated with the frequency of use of the towel.

[0044] Furthermore, the reminder module analyzes whether to send a signal to replace the towel according to the change in the number of microorganisms on the towel, including:

[0045] The reminder module draws a quantity-time curve according to the number of microorganisms on the towel monitored by the monitoring module.

[0046] Calculate the slope of quantity change at each time node of the quantity-time curve,

[0047] Calculate the mean value of the slope of quantity change at each time node.

[0048] If the quantity change slope mean is greater than or equal to the preset quantity change slope mean standard threshold, the reminder module determines to send a towel replacement signal;

[0049] If the quantity change slope mean is less than the preset quantity change slope mean standard threshold, the reminder module determines that there is no need to replace the towels.

[0050] Compared with the prior art, the beneficial effect of the present invention lies in that, in the present invention, the cleaning frequency of towels is preliminarily determined based on the temperature and humidity of the environment. Considering that the high frequency of temperature and humidity changes in the towel storage environment (such as the shower room) will accelerate the growth of microorganisms on the towels, the variance of the ambient temperature and humidity within the cycle is calculated to analyze the impact of the environment on the growth of microorganisms on the towels according to the changes in the ambient temperature and humidity, and further adjust the cleaning degree of the towels according to the degree of impact of the environment on the towels.

[0051] Furthermore, the present invention draws an environmental parameter time domain curve based on the collected parameters of environmental temperature and humidity. Taking the shower room as an example, if the shower time in the shower room is longer, the temperature and humidity of the environment will increase for a longer time, and the curve in the environmental parameter time domain curve shows an upward trend for a longer time, then the environmental temperature and humidity change time is longer, and the impact of the environmental temperature and humidity changes on the growth of microorganisms on the towel is greater, and the towel needs to be cleaned more frequently. Therefore, the cleaning frequency of the towel is increased according to the slope of the environmental parameter time domain curve to ensure the cleanliness of the towel.

[0052] Furthermore, the present invention takes into account that the longer a towel is used, the more difficult it is to ensure its cleanliness and the faster the microorganisms grow. The microorganisms on the towel are monitored regularly. When the microorganisms grow too fast, it is determined that the towel no longer meets the standard for continued use, and a signal to replace the towel is sent, thereby ensuring the cleanliness of the towel to avoid the use effect being affected by towels that are not clean enough. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a structural block diagram of the intelligent management system of the present invention;

[0054] Figure 2 A flow chart for determining the frequency of cleaning towels according to towel placement environment parameters;

[0055] Figure 3 A flow chart for determining the category of environmental change interference of towels;

[0056] Figure 4 Flow chart for determining the parameters for subsequent towel processing. DETAILED DESCRIPTION

[0057] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0058] It should be pointed out that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical data of the system of the present invention in the six months before this determination and the corresponding historical determination results. Before this detection, the system of the present invention comprehensively determines the values ​​of the preset parameter standards for this determination based on the evaluation values ​​of the 42,383 retrieval results detected cumulatively in the first three months. It can be understood by those skilled in the art that the determination method of the system of the present invention for a single parameter mentioned above can be to select the value with the highest proportion as the preset standard parameter according to the data distribution, use weighted summation to use the obtained value as the preset standard parameter, substitute each historical data into a specific formula and use the value obtained by the formula as the preset standard parameter or other selection methods, as long as the system of the present invention can clearly define the different specific situations in the single determination process through the obtained values.

[0059] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0060] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0061] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0062] See also Figure 1 As shown, it is a structural block diagram of the intelligent management system of the present invention.

[0063] An embodiment of the present invention provides an intelligent management system, including:

[0064] An environmental parameter collection module, which includes an environmental temperature collection unit and an environmental humidity collection unit for collecting environmental parameters of towel placement;

[0065] A towel parameter collection module, which includes a recording unit for collecting the frequency of towel use and a monitoring unit for collecting the microbial conditions on the towel;

[0066] a data analysis module, which is connected to the environmental parameter acquisition module and the towel parameter acquisition module, and is used to construct an environmental parameter time domain curve according to the collected towel placement environmental parameters, determine the cleaning frequency of the towel according to the towel placement environmental parameters, calculate the time domain discreteness of the environmental parameters at each acquisition time node in the environmental parameter time domain curve, calculate the environmental change interference characterization value for the towel based on the calculated time domain discreteness of the environmental parameters, and determine the environmental change interference category of the towel according to the environmental change interference characterization value;

[0067] The self-adjusting module is connected to the data analysis module and is used to determine the subsequent processing parameters of the towel according to the interference category of the environmental change of the towel, including:

[0068] Calculate the slope mean of each acquisition time node of the environmental parameter time domain curve, increase the cleaning frequency of the towel according to the slope mean, and correct the single cleaning time of the towel according to the frequency of towel use,

[0069] Or, maintain the initial towel cleaning frequency;

[0070] A cleaning module connected to the self-adjusting module for displaying cleaning parameters required for cleaning the towels according to the towel cleaning parameters determined by the self-adjusting module, the cleaning parameters including cleaning frequency and cleaning duration;

[0071] The reminder module is connected to the towel parameter acquisition module and is used to analyze whether to send a signal to replace the towel according to the change of the number of microorganisms on the towel.

[0072] Specifically, the present invention does not limit the specific structure of the environmental parameter acquisition module, as long as it can collect the ambient temperature and ambient humidity. It can be a temperature sensor or a humidity sensor, which will not be described in detail.

[0073] Specifically, in the embodiment of the present invention, when the growth rate of microorganisms on the towel is too fast, the reminder module determines that the user's skin health condition is at risk.

[0074] See also Figure 2 As shown, it is a flow chart for determining the frequency of cleaning towels based on towel placement environment parameters.

[0075] Specifically, the data analysis module determines the cleaning frequency of the towel according to the towel placement environment parameters, including:

[0076] Get the temperature of the environment where the towel is placed within a predetermined period.

[0077] Calculate the mean temperature of each acquisition time node,

[0078] If the temperature mean is greater than or equal to the preset temperature mean standard threshold, the data analysis module determines that the cleaning frequency of the towel is a first-level cleaning frequency;

[0079] If the temperature mean is less than the preset temperature mean standard threshold, the data analysis module determines that the cleaning frequency of the towel is the secondary cleaning frequency.

[0080] Specifically, in this embodiment, the preset temperature mean standard threshold value E0 is obtained in advance by recording the temperatures E at several time points in shower rooms in different regions to calculate the temperature mean. The preset temperature mean standard threshold value is 0.75 to 0.85 times the temperature mean.

[0081] Specifically, the time domain discreteness of the environmental parameter at each acquisition time node in the time domain curve of the environmental parameter is calculated, including:

[0082] Get the ambient temperature value of each acquisition time node in the environmental parameter time domain curve,

[0083] Calculate the temperature variance for each ambient temperature value,

[0084] Get the ambient humidity at each acquisition time node in the environmental parameter time domain curve.

[0085] Calculate the humidity variance for each ambient humidity value.

[0086] Specifically, the data analysis module calculates the environmental change interference characterization value for the towel based on the calculated time domain discreteness of the environmental parameters, including:

[0087] Solving the ratio of the temperature variance to the preset temperature variance standard threshold value to obtain a first temperature change feature,

[0088] Solving the ratio of the humidity variance to a preset humidity variance standard threshold, obtaining a second humidity change feature,

[0089] The first temperature change feature and the second humidity change feature are weighted and summed to obtain an environmental change interference characterization value.

[0090] Specifically, in this embodiment, the preset temperature variance standard threshold C0 is obtained by pre-measurement, recording the temperatures of shower rooms in several areas at various time nodes within a predetermined time period, calculating the temperature variance C of the temperature change of each shower room respectively, and solving the variance mean of each, and the preset temperature variance standard threshold is 0.7 to 0.8 times the variance mean.

[0091] See also Figure 3 As shown, it is a determination flow chart for determining the environmental change interference category of the towel.

[0092] Specifically, the data analysis module determines the environmental change interference category of the towel according to the environmental change interference characterization value, including:

[0093] If the environmental change interference characterization value is greater than or equal to a preset environmental change interference characterization value standard threshold, the data analysis module determines that the towel is in the environmental change strong interference category;

[0094] If the environmental change interference characterization value is less than the preset environmental change interference characterization value standard threshold, the data analysis module determines that the towel is a weak environmental change interference category.

[0095] Specifically, in this embodiment, the preset environmental change interference characterization value standard threshold Q0 is obtained by pre-measurement, and the environmental change interference characterization values ​​Q of shower rooms in several regions are calculated and counted respectively to solve the mean of the environmental change interference characterization values. The preset environmental change interference characterization value standard threshold is 0.75 to 0.8 times the mean of the environmental change interference characterization values.

[0096] See also Figure 4 As shown, it is a decision flow chart for determining the subsequent processing parameters of the towel.

[0097] Specifically, the self-adjusting module determines the towel subsequent processing parameters according to the towel environmental change interference category, including:

[0098] If the towel is a category with strong interference from environmental changes, the self-adjustment module calculates the slope mean of each acquisition time node of the environmental parameter time domain curve, adjusts the cleaning frequency of the towel according to the slope mean, and corrects the single cleaning time of the towel according to the frequency of use of the towel;

[0099] If the towel is of the weak interference type due to environmental changes, the self-adjusting module maintains the initial towel cleaning frequency.

[0100] Specifically, the self-adjusting module calculates the mean slope of each acquisition time node of the environmental parameter time domain curve, including:

[0101] Calculate the slope of each acquisition time node in the time domain curve of the ambient temperature when the towel is placed, and obtain the first characteristic slope.

[0102] Calculate the slope of each acquisition time node in the time domain curve of the humidity of the environment where the towel is placed, and obtain the second characteristic slope.

[0103] Calculate the mean of the first characteristic slope and the second characteristic slope.

[0104] Specifically, the self-adjusting module increases the cleaning frequency of the towel according to the slope mean, wherein:

[0105] The increase in the frequency of towel cleaning is positively correlated with the mean slope.

[0106] In this embodiment, optionally,

[0107] The slope mean V is compared with the preset first preset slope mean V1 and the second preset slope mean V2,

[0108] If the slope mean is less than or equal to the first preset slope mean, the first cleaning frequency is increased, and the first cleaning frequency is 0.2 times the initial cleaning frequency;

[0109] If the slope mean is greater than the first preset slope mean and less than or equal to the second preset slope mean, the second cleaning frequency is increased, and the second cleaning frequency is 0.25 times the initial cleaning frequency;

[0110] If the slope average is greater than the second preset slope average, the third cleaning frequency is increased, and the third cleaning frequency is 0.3 times the initial cleaning frequency;

[0111] The first preset slope mean is 1.1 times the preset slope mean, and the second preset slope mean is 1.3 times the preset slope mean, where the preset slope mean is obtained in advance. The first characteristic slope and the second characteristic slope of the towel in several different environments are calculated respectively, and the slope means are calculated respectively. The mean of the slope means is solved to obtain the preset slope mean.

[0112] Specifically, the self-adjusting module corrects the single cleaning time of the towel according to the frequency of use of the towel, wherein:

[0113] The increase in the single cleaning time is positively correlated with the frequency of use of the towel.

[0114] Specifically, in this embodiment, the preset usage frequency standard threshold value M0 is obtained by pre-measurement, and the usage frequencies M of a number of towels are recorded to calculate the usage frequency average value M0.

[0115] In this embodiment, optionally,

[0116] The towel usage frequency M is compared with the preset first towel usage frequency M1 and the second towel usage frequency M2.

[0117] If the towel usage frequency is less than or equal to the first preset towel usage frequency, the first single cleaning time is increased, wherein the first single cleaning time is 0.2 times the initial single cleaning time;

[0118] If the towel usage frequency is greater than the first preset towel usage frequency and less than or equal to the second preset towel usage frequency, then the second single cleaning time is increased, wherein the second single cleaning time is 0.3 times the initial single cleaning time;

[0119] If the towel usage frequency is greater than the second preset towel usage frequency, the third single cleaning time is increased, wherein the third single cleaning time is 0.4 times the initial single cleaning time.

[0120] Specifically, the reminder module analyzes whether to send a signal to replace the towel according to the change in the number of microorganisms on the towel, including:

[0121] The reminder module draws a quantity-time curve according to the number of microorganisms on the towel monitored by the monitoring module.

[0122] Calculate the slope of quantity change at each time node of the quantity-time curve,

[0123] Calculate the mean value of the slope of quantity change at each time node.

[0124] If the quantity change slope mean is greater than or equal to the preset quantity change slope mean standard threshold, the reminder module determines to send a towel replacement signal;

[0125] If the quantity change slope mean is less than the preset quantity change slope mean standard threshold, the reminder module determines that there is no need to replace the towels.

[0126] Specifically, in this embodiment, the preset standard threshold value V0 of the mean value of the quantity change slope is obtained in advance, the change in the number of microorganisms in several towels is recorded, and the number-time curve images of the microorganism changes on a single towel are plotted respectively, the quantity change slope at each time node is solved, and the mean value of the quantity change slope is calculated. The preset standard threshold value of the mean value of the quantity change slope is 0.7 to 0.82 times the mean value of the quantity change slope.

[0127] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0128] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent management system, characterized in that: include: An environmental parameter collection module, which includes an environmental temperature collection unit and an environmental humidity collection unit for collecting environmental parameters of towel placement; A towel parameter collection module, which includes a recording unit for collecting the frequency of towel use and a monitoring unit for collecting the microbial conditions on the towel; a data analysis module, which is connected to the environmental parameter acquisition module and the towel parameter acquisition module, and is used to construct an environmental parameter time domain curve according to the collected towel placement environmental parameters, determine the cleaning frequency of the towel according to the towel placement environmental parameters, calculate the time domain discreteness of the environmental parameters at each acquisition time node in the environmental parameter time domain curve, calculate the environmental change interference characterization value for the towel based on the calculated time domain discreteness of the environmental parameters, and determine the environmental change interference category of the towel according to the environmental change interference characterization value; The self-adjusting module is connected to the data analysis module and is used to determine the subsequent processing parameters of the towel according to the interference category of the environmental change of the towel, including: Calculate the slope mean of each acquisition time node of the environmental parameter time domain curve, increase the cleaning frequency of the towel according to the slope mean, and correct the single cleaning time of the towel according to the frequency of towel use, Or, maintain the initial towel cleaning frequency; A cleaning module connected to the self-adjusting module for displaying cleaning parameters required for cleaning the towels according to the towel cleaning parameters determined by the self-adjusting module, the cleaning parameters including cleaning frequency and cleaning duration; The reminder module is connected to the towel parameter acquisition module and is used to analyze whether to send a signal to replace the towel according to the change of the number of microorganisms on the towel.

2. The intelligent management system according to claim 1, characterized in that: The data analysis module determines the cleaning frequency of the towel according to the towel placement environment parameters, including: Get the temperature of the environment where the towel is placed within a predetermined period. Calculate the mean temperature of each acquisition time node, If the temperature mean is greater than or equal to the preset temperature mean standard threshold, the data analysis module determines that the cleaning frequency of the towel is a first-level cleaning frequency; If the temperature mean is less than the preset temperature mean standard threshold, the data analysis module determines that the cleaning frequency of the towel is the secondary cleaning frequency.

3. The intelligent management system according to claim 1, characterized in that: The calculating the time domain discreteness of the environmental parameter at each acquisition time node in the time domain curve of the environmental parameter comprises: Get the ambient temperature value of each acquisition time node in the environmental parameter time domain curve, Calculate the temperature variance for each ambient temperature value, Get the ambient humidity at each acquisition time node in the environmental parameter time domain curve. Calculate the humidity variance for each ambient humidity value.

4. The intelligent management system according to claim 3 is characterized in that: The data analysis module calculates the environmental change interference characterization value for the towel based on the calculated time domain discreteness of the environmental parameters, including: Solving the ratio of the temperature variance to the preset temperature variance standard threshold value to obtain a first temperature change feature, Solving the ratio of the humidity variance to a preset humidity variance standard threshold, obtaining a second humidity change feature, The first temperature change feature and the second humidity change feature are weighted and summed to obtain an environmental change interference characterization value.

5. The intelligent management system according to claim 1, characterized in that: The data analysis module determines the environmental change interference category of the towel according to the environmental change interference characterization value, including: If the environmental change interference characterization value is greater than or equal to a preset environmental change interference characterization value standard threshold, the data analysis module determines that the towel is in the environmental change strong interference category; If the environmental change interference characterization value is less than the preset environmental change interference characterization value standard threshold, the data analysis module determines that the towel is a weak environmental change interference category.

6. The intelligent management system according to claim 5, characterized in that: The self-adjusting module determines the towel subsequent processing parameters according to the towel environmental change interference category, including: If the towel is a category with strong interference from environmental changes, the self-adjustment module calculates the slope mean of each acquisition time node of the environmental parameter time domain curve, adjusts the cleaning frequency of the towel according to the slope mean, and corrects the single cleaning time of the towel according to the frequency of use of the towel; If the towel is of the weak interference type due to environmental changes, the self-adjusting module maintains the initial towel cleaning frequency.

7. The intelligent management system according to claim 1, characterized in that: The self-adjusting module calculates the slope mean of each acquisition time node of the environmental parameter time domain curve, including: Calculate the slope of each acquisition time node in the time domain curve of the ambient temperature when the towel is placed, and obtain the first characteristic slope. Calculate the slope of each acquisition time node in the time domain curve of the humidity of the environment where the towel is placed, and obtain the second characteristic slope. Calculate the mean of the first characteristic slope and the second characteristic slope.

8. The intelligent management system according to claim 1, characterized in that: The self-adjusting module increases the cleaning frequency of the towel according to the slope mean, wherein: The increase in the frequency of towel cleaning is positively correlated with the mean slope.

9. The intelligent management system according to claim 1, characterized in that: The self-adjusting module corrects the single cleaning time of the towel according to the frequency of use of the towel, wherein: The increase in the single cleaning time is positively correlated with the frequency of use of the towel.

10. The intelligent management system according to claim 1, characterized in that: The reminder module analyzes whether to send a signal to replace the towel according to the change in the number of microorganisms on the towel, including: The reminder module draws a quantity-time curve according to the number of microorganisms on the towel monitored by the monitoring module. Calculate the slope of quantity change at each time node of the quantity-time curve, Calculate the mean value of the slope of quantity change at each time node. If the quantity change slope mean is greater than or equal to the preset quantity change slope mean standard threshold, the reminder module determines to send a towel replacement signal; If the quantity change slope mean is less than the preset quantity change slope mean standard threshold, the reminder module determines that there is no need to replace the towels.

Images