Gel responsive dispenser dosing system based on sanitization behavior collection analysis

Abstract

The application discloses a gel response dispenser dosing system based on disinfection behavior collection and analysis, relates to the technical field of gel response dispenser dosing, and solves the technical problems that the gel response dispenser cannot analyze and infer the demand in the current disinfection period and whether the single output in the disinfection period is set to be qualified according to disinfection behavior analysis in the prior art; the application performs period disinfection analysis and single disinfection analysis in the cooperation of the supply object and the use object, performs big data analysis on the disinfection behavior of the use object in the current period, and analyzes the disinfection behavior under multiple data to infer the demand for disinfection in the period, thereby improving the analysis accuracy of the supply object dosing, ensuring that the dosing operation can supply in time during the use process, and performing single disinfection analysis on the use object, judging the single output of the current dispenser according to different use objects, and thereby ensuring that the single output is set to be reasonable.

Description

Gel sensor dispenser drug dispensing system based on disinfection behavior collection and analysis Technical Field

[0001] This invention relates to the field of gel sensor dispenser dispensing technology, specifically a gel sensor dispenser dispensing system based on disinfection behavior collection and analysis. Background Technology

[0002] Disinfection is an essential part of daily work and life. As people's pursuit of material things improves, gel sensor dispensers used for disinfection are becoming increasingly intelligent. However, in the current technology, gel sensor dispensers cannot infer the demand during the current disinfection period based on disinfection behavior analysis, or whether the single dispensing amount during the disinfection period is set to be qualified. In addition, they cannot control the dosing based on real-time storage analysis, which reduces the targeting and sequence of dosing.

[0003] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0004] The purpose of this invention is to solve the problems mentioned above by proposing a gel sensor dispenser drug delivery system based on the collection and analysis of disinfection behavior.

[0005] The objective of this invention can be achieved through the following technical solution: a gel sensor dispenser dispensing system based on disinfection behavior collection and analysis, comprising a behavior data analysis unit, a dispenser monitoring unit, and a decision-making unit;

[0006] The behavioral data analysis unit collects and analyzes the disinfection behavior of users corresponding to the gel sensor dispenser, marks the gel sensor dispenser as the supply object, and marks the corresponding user as the user. During the joint use of the supply object and the user, time-period disinfection analysis and single disinfection analysis are performed. After behavioral collection and analysis, the current demand intensity of the supply object is analyzed. After the demand intensity is determined, the supply object is monitored, and the dosing decision is made based on the internal inventory and dosing demand of the supply object.

[0007] As a preferred embodiment of the present invention, the specific process of time-period disinfection analysis is as follows:

[0008] Disinfection periods are constructed based on the combined use of the user and the supplier. The increase in the number of different users corresponding to the supplier and the increase in the usage frequency corresponding to the same user within the disinfection period are obtained in real time. These increases are labeled ZJL and PLZ, respectively. The increase in the number of single presses for the same quantity of supplies corresponding to the supplier within the disinfection period is also collected and labeled CSZ. The above data are then substituted into a formula to obtain the period disinfection analysis coefficient H. Finally, the period disinfection analysis coefficient H is compared with the period disinfection analysis coefficient threshold.

[0009] In a preferred embodiment of the present invention, the formula is as follows: Among them, w1, w2 and s3 are the corresponding preset weight coefficients of the data substituted into the formula, which are used to dequantify the data during the calculation process, so as to uniformly analyze the influence of multiple data on the disinfection analysis coefficient of the time period. β is the error correction factor with a value of 0.8798, and e is the natural constant.

[0010] In a preferred embodiment of the present invention, if the disinfection analysis coefficient H of the time period exceeds the disinfection analysis coefficient threshold of the time period, the time period of the current supply object is determined to be in high demand, and the current time period is marked as a high demand time period; if the disinfection analysis coefficient H of the time period does not exceed the disinfection analysis coefficient threshold of the time period, the time period of the current supply object is determined to be in low demand, and the current time period is marked as a low demand time period.

[0011] As a preferred embodiment of the present invention, the specific process of a single disinfection analysis is as follows:

[0012] During the disinfection period, individual users were analyzed and categorized according to height. A height deviation threshold was set, meaning that if the height deviation of different users did not exceed the same height deviation threshold, the corresponding users were marked as the same type of object; otherwise, the corresponding users were marked as different types of objects. The total percentage of usage frequency after the first press was collected for the same type of object during the disinfection period, as well as the percentage of usage frequency after the first press was collected for different types of objects at different times, were analyzed.

[0013] As a preferred embodiment of the present invention, if the total proportion of the frequency of pressing again after the first press in the same type of object during the disinfection period exceeds the usage frequency proportion threshold, or the proportion of the frequency of pressing again after pressing in different times in different types of objects exceeds the occurrence frequency proportion threshold, it is determined that the single quantity set for the supply object during the disinfection period is affected, and the current disinfection period is marked as a single quantity abnormal period.

[0014] If the total percentage of the frequency of pressing the button again after the first press for the same type of object during the disinfection period does not exceed the usage frequency percentage threshold, and the percentage of the frequency of pressing the button again after the first press for different types of objects at different times does not exceed the occurrence frequency percentage threshold, then it is determined that the single quantity set for the supply object during the disinfection period has no impact, and the current disinfection period is marked as a period of normal single output.

[0015] In a preferred embodiment of the present invention, a level 1 dosing signal is generated when the real-time disinfection period is a high-demand period and a period of abnormal single output; a level 2 dosing signal is generated when the real-time disinfection period is a high-demand period and a period of normal single output; a level 3 dosing signal is generated when the real-time disinfection period is a low-demand period and a period of abnormal single output; and a level 4 dosing signal is generated when the real-time disinfection period is a low-demand period and a period of normal single output.

[0016] In a preferred embodiment of the present invention, the operation process of the distributor monitoring unit is as follows:

[0017] The real-time reserves of the supply targets were analyzed, and the rate of decrease in the proportion of real-time reserves within the supply targets and the capacity difference between the real-time demand and the remaining amount corresponding to the proportion of real-time reserves during the remaining disinfection period under the current usage rate were collected and analyzed.

[0018] If the rate of decrease of the real-time storage ratio within the supply recipient exceeds the decrease rate threshold, and the difference between the real-time demand for the remaining disinfection period under the current usage rate and the remaining quantity corresponding to the real-time storage ratio exceeds the capacity difference threshold, then it is determined that the supply recipient needs to add medicine, and a first-level demand signal is set; if the rate of decrease of the real-time storage ratio within the supply recipient exceeds the decrease rate threshold, or the difference between the real-time demand for the remaining disinfection period under the current usage rate and the remaining quantity corresponding to the real-time storage ratio exceeds the capacity difference threshold, then it is determined that the supply recipient needs to add medicine, and a second-level demand signal is set.

[0019] If the rate of decrease in the real-time storage ratio within the supply recipient does not exceed the rate of decrease threshold, and the difference between the real-time demand for the remaining disinfection period under the current usage rate and the remaining quantity corresponding to the real-time storage ratio does not exceed the capacity difference threshold, then it is determined that the supply recipient does not need to add medicine.

[0020] In a preferred embodiment of the present invention, the operation process of the decision-making unit is as follows:

[0021] The current supply objects are sorted by priority and divided into priority supply objects and secondary supply objects based on the priority of supply objects corresponding to the first-level demand signal. Then, the priority supply objects or secondary supply objects are sorted in ascending order according to the value of the supply signal level, and the supply is supplied in the current sort order.

[0022] In a preferred embodiment of the present invention, when the target does not require additional medication, the available supply time of the remaining amount of medication for the target is obtained at the average usage speed during the current disinfection period. Then, the consumption time of the remaining amount of medication for the current use is obtained based on the current real-time usage speed, and the remaining supply time is calculated based on the difference between the available supply time and the consumption time. If the remaining supply time is lower than a set difference time threshold, and the usage time at which the real-time usage speed exceeds the average usage speed exceeds the set usage time threshold, the corresponding target is set as a priority medication candidate. If the remaining supply time is lower than the set difference time threshold, or the usage time at which the real-time usage speed exceeds the average usage speed exceeds the set usage time threshold, the corresponding target is set as a secondary medication candidate. If the remaining supply time is not lower than the set difference time threshold, and the usage time at which the real-time usage speed exceeds the average usage speed does not exceed the set usage time threshold, the corresponding target is set as a final medication candidate.

[0023] Compared with the prior art, the beneficial effects of the present invention are:

[0024] 1. In this invention, time-period disinfection analysis and single-use disinfection analysis are performed during the combined use of the supply object and the user object. Big data analysis is conducted based on the disinfection behavior of the user object within the current time period. Disinfection behavior analysis is performed under multiple data points to infer the disinfection needs within the time period, thereby improving the accuracy of the supply object's dosing analysis and ensuring timely supply of dosing during use. At the same time, single-use disinfection analysis is performed on the user object. The single dispensing volume of the dispenser is judged based on different user objects to ensure that the single dispensing volume setting is reasonable and to prevent unreasonable single dispensing volume setting from increasing the usage frequency and easily causing waste of gel.

[0025] 2. In this invention, the current distributor is determined to need to add medicine based on real-time storage analysis, and the degree of medicine demand is determined. Thus, medicine can be added to the supply object in a targeted manner according to different medicine demand levels, ensuring the feasibility and rationality of medicine addition to the supply object. At the same time, when medicine is not needed, it can be sorted into waiting lists to avoid unreasonable medicine addition order causing untimely medicine addition and affecting the user's use. Attached Figure Description

[0026] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0027] Figure 1 is a schematic flowchart of the gel sensor dispenser drug delivery system based on disinfection behavior collection and analysis of the present invention.

[0028] Figure 2 is a flowchart illustrating the principle of the behavioral data analysis unit in this invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0031] Please refer to Figure 1. The gel sensor dispenser dosing system based on disinfection behavior collection and analysis includes a behavior data analysis unit, a dispenser monitoring unit, and a decision-making unit. In the actual operation of the system, the behavior data analysis unit collects and analyzes the disinfection behavior of the users corresponding to the gel sensor dispenser. After the behavior collection and analysis, the current demand intensity of the dispenser is analyzed. After the demand intensity is determined, the dispenser is monitored, and a dosing decision is made based on the internal inventory of the dispenser and the degree of dosing demand.

[0032] Please refer to Figure 2. After the gel sensor dispenser is put into use, the behavior data analysis unit collects and analyzes the behavior of the users corresponding to the gel sensor dispenser, marks the gel sensor dispenser as the supply object, and marks the corresponding users as the users. During the use of the supply object and the user, time-period disinfection analysis and single-time disinfection analysis are performed. Based on the disinfection behavior of the users in the current time period, big data analysis is performed. Disinfection behavior analysis is performed under multiple data to infer the disinfection needs in the time period, thereby improving the accuracy of the analysis of the supply object's medicine addition and ensuring that the medicine addition operation can be supplied in a timely manner during use. At the same time, single-time disinfection analysis is performed on the users. The single dispensing volume of the dispenser is judged according to different users to ensure that the single dispensing volume is set reasonably and to prevent unreasonable single dispensing volume settings from increasing the usage frequency and easily causing waste of gel.

[0033] The disinfection time period analysis constructs disinfection time periods based on the combined use of the user and the supplier. It obtains the real-time increase in the number of different users corresponding to the supplier and the real-time increase in the usage frequency corresponding to the same user within each disinfection time period. These increases are labeled ZJL and PLZ, respectively. The analysis also collects the increase in the number of single presses for the same quantity of supplies within each disinfection time period, and labels this increase as CSZ.

[0034] Substituting the above data into the formula, we obtain the disinfection analysis coefficient H for the time period, where the formula is: The disinfection analysis coefficient H for the supplied objects within the disinfection period is obtained. Here, w1, w2, and s3 are preset weighting coefficients corresponding to the data substituted into the formula, used for dequantification during data calculation to unify the influence of multiple data points on the disinfection analysis coefficient. β is the error correction factor with a value of 0.8798, and e is the natural constant. This represents the impact of data fluctuations in the formula on the disinfection analysis coefficient for a given time period. When all three coefficients increase, the larger this data is, the larger the disinfection analysis coefficient for that time period will be, and therefore, the greater the disinfection demand intensity of the target population.

[0035] Compare the disinfection analysis coefficient H for different time periods with the threshold for disinfection analysis coefficients for different time periods:

[0036] If the disinfection analysis coefficient H of a time period exceeds the disinfection analysis coefficient threshold of a time period, then the time period of the current supply object is determined to be a high-demand time period, and the current time period is marked as a high-demand time period; if the disinfection analysis coefficient H of a time period does not exceed the disinfection analysis coefficient threshold of a time period, then the time period of the current supply object is determined to be a low-demand time period, and the current time period is marked as a low-demand time period.

[0037] In a single disinfection analysis, a single user is analyzed within the disinfection period. Users are classified according to their height, and a height deviation threshold is set. If the height deviation of different users does not exceed the same height deviation threshold, the corresponding users are marked as the same type of object. Otherwise, the corresponding users are marked as different types of objects. In this application, there are various user classification data, such as weight, waist circumference, etc. This system uses height as the data standard. If other data classifications exist, they can be adapted to the current system.

[0038] The data collection process included the total percentage of usage frequency after the first press on the same type of object during the disinfection period, and the percentage of usage frequency after the first press on different types of objects at different times. These percentages were then compared with usage frequency thresholds and occurrence frequency thresholds, respectively. It is understood that, to prevent user bias or subjective bias, this technical solution involves collecting a large amount of data on the number of users and their corresponding usage frequencies. Through extensive data analysis, the influence of personal preferences or subjective bias is minimized to the point of being negligible.

[0039] If the total percentage of the frequency of pressing the same type of object after the first press exceeds the usage frequency percentage threshold during the disinfection period, or if the percentage of the frequency of pressing the same type of object after the first press at different times exceeds the occurrence frequency percentage threshold, it is determined that the single quantity set for the supply object during the disinfection period is affected. The current disinfection period is marked as a period of abnormal single output, and a rectification instruction is sent to the administrator terminal. The administrator terminal divides the force output of the supply object, that is, the output difference corresponding to different forces is widened, which improves the accuracy of output control and avoids the waste of gel caused by multiple outputs that cannot meet the needs of a single output.

[0040] If the total percentage of the frequency of pressing again after the first press for the same type of object during the disinfection period does not exceed the usage frequency percentage threshold, and the percentage of the frequency of pressing again after pressing for different types of objects at different times does not exceed the occurrence frequency percentage threshold, then it is determined that the single quantity set for the supply object during the disinfection period has no impact, and the current disinfection period is marked as a period of normal single output.

[0041] When the real-time disinfection period is a high-demand period and a period of abnormal single output, a level 1 dosing signal is generated; when the real-time disinfection period is a high-demand period and a period of normal single output, a level 2 dosing signal is generated; when the real-time disinfection period is a low-demand period and a period of abnormal single output, a level 3 dosing signal is generated; when the real-time disinfection period is a low-demand period and a period of normal single output, a level 4 dosing signal is generated.

[0042] After completing the collection of disinfection behavior data, the dispenser monitoring unit monitors and analyzes the real-time storage of the current supply object. Based on the real-time storage analysis, it determines whether the dispenser needs to be refilled and determines the degree of refilling demand. Thus, it can refill the supply object in a targeted manner according to different refilling demands, ensuring the feasibility and rationality of refilling the supply object. At the same time, when no refilling is needed, it can sort the waiting list to avoid unreasonable refilling order, which may cause untimely refilling and affect the user's use.

[0043] The real-time reserves of the supply targets are analyzed, and the rate of decrease in the proportion of real-time reserves within the supply targets and the capacity difference between the real-time demand for the remaining disinfection period under the current usage rate and the remaining quantity corresponding to the real-time reserve proportion are collected and analyzed.

[0044] If the rate of decrease of the real-time storage ratio within the supply recipient exceeds the decrease rate threshold, and the difference between the real-time demand for the remaining disinfection period under the current usage rate and the remaining quantity corresponding to the real-time storage ratio exceeds the capacity difference threshold, then it is determined that the supply recipient needs to add medicine, and a first-level demand signal is set; if the rate of decrease of the real-time storage ratio within the supply recipient exceeds the decrease rate threshold, or the difference between the real-time demand for the remaining disinfection period under the current usage rate and the remaining quantity corresponding to the real-time storage ratio exceeds the capacity difference threshold, then it is determined that the supply recipient needs to add medicine, and a second-level demand signal is set.

[0045] If the rate of decrease of the real-time storage ratio within the supply recipient does not exceed the rate of decrease threshold, and the difference between the real-time demand for the remaining disinfection period under the current usage rate and the remaining amount corresponding to the real-time storage ratio does not exceed the capacity difference threshold, then it is determined that the supply recipient does not need to add medicine.

[0046] The decision-making unit will make decisions on the dosing of the supply objects, sort the current supply objects according to the dosing priority of the supply objects corresponding to the first-level demand signal, and divide them into priority dosing objects and secondary dosing objects. Then, among the priority dosing objects or secondary dosing objects, they will be sorted in ascending order according to the dosing signal level value, and dosing will be carried out in the current sorting order.

[0047] When the target device does not require additional medication, the system obtains the remaining supply time of the target device at the average usage speed during the current disinfection period. Then, based on the current real-time usage speed, it obtains the consumption time of the remaining amount for this use, and calculates the remaining supply time based on the difference between the available supply time and the consumption time. If the remaining supply time is lower than the set difference time threshold, and the usage time at which the real-time usage speed exceeds the average usage speed exceeds the set usage time threshold, the corresponding target device is set as a priority addition candidate. If the remaining supply time is lower than the set difference time threshold, or the usage time at which the real-time usage speed exceeds the average usage speed exceeds the set usage time threshold, the corresponding target device is set as a secondary addition candidate. If the remaining supply time is not lower than the set difference time threshold, and the usage time at which the real-time usage speed exceeds the average usage speed does not exceed the set usage time threshold, the corresponding target device is set as a last addition candidate.

[0048] When in use, the behavioral data analysis unit collects and analyzes the disinfection behavior of the user corresponding to the gel sensor dispenser, marks the gel sensor dispenser as the supply object, and marks the corresponding user as the user. During the use of the supply object and the user, time-period disinfection analysis and single-time disinfection analysis are performed. After behavioral collection and analysis, the current demand intensity of the supply object is analyzed. After the demand intensity is determined, the supply object is monitored, and a dosing decision is made based on the internal inventory and dosing demand of the supply object.

[0049] The above formulas are all derived from software simulations using a large amount of data, and are selected to be close to the true values. The coefficients in the formulas are set by those skilled in the art based on actual conditions. The preferred embodiments of the present invention disclosed above are only for illustrating the present invention. The preferred embodiments do not describe all details exhaustively, nor do they limit the invention to specific implementation methods. Obviously, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A gel sensor dispenser drug dispensing system based on disinfection behavior collection and analysis, characterized in that, It includes a behavior data analysis unit, a dispenser monitoring unit, and a decision-making unit. The behavior data analysis unit collects and analyzes the disinfection behavior of users corresponding to the gel sensor dispensers, marking the gel sensor dispensers as supply targets and the corresponding users as users. During the combined use by the supply and user targets, it performs time-based disinfection analysis and single-use disinfection analysis. After analyzing the behavior data, it analyzes the current demand intensity of the supply targets. After determining the demand intensity, it monitors the supply targets and makes dosing decisions based on the internal inventory and dosing demand of the supply targets. The specific process of time-based disinfection analysis is as follows: Based on the combined use by the user and supply targets, a disinfection... During the disinfection period, the increase in the number of different users corresponding to the same user and the increase in the usage frequency corresponding to the same user were obtained in real time, and these increases were labeled as ZJL and PLZ, respectively. The increase in the number of single presses for the same user corresponding to the same quantity was also collected during the disinfection period, and this increase was labeled as CSZ. The above data were then substituted into the formula to obtain the disinfection analysis coefficient H for the period. The disinfection analysis coefficient H was then compared with the disinfection analysis coefficient threshold for the period. The specific process of single disinfection analysis is as follows: During the disinfection period, individual users are analyzed and divided according to their height. A height deviation threshold is set. If the height deviation of different users does not exceed the same height deviation threshold, the corresponding users are marked as the same type of object. Otherwise, the corresponding users are marked as different types of objects. The total percentage of the frequency of pressing again after the first press for the same type of object during the disinfection period and the percentage of the frequency of pressing again after the first press for different types of objects at different times are collected and analyzed.

2. The gel sensor dispenser drug dispensing system based on disinfection behavior collection and analysis according to claim 1, characterized in that, in, The formula is Where w1, w2 and s3 are the corresponding preset weight coefficients of the data substituted into the formula, which are used to dequantify the data during the calculation process, so as to uniformly analyze the influence of multiple data on the disinfection analysis coefficient of the time period. β is the error correction factor with a value of 0.8798, and e is the natural constant.

3. The gel sensor dispenser drug dispensing system based on disinfection behavior collection and analysis according to claim 2, characterized in that, If the disinfection analysis coefficient H of a time period exceeds the disinfection analysis coefficient threshold of a time period, then the time period of the current supply object is determined to be a high demand period, and the current time period is marked as a high demand period. If the disinfection analysis coefficient H for a given period does not exceed the threshold for the disinfection analysis coefficient for a given period, then the current period is determined to be a period of low demand for disinfection of the current supply object, and the current period is marked as a period of low demand.

4. The gel sensor dispenser drug dispensing system based on disinfection behavior collection and analysis according to claim 1, characterized in that, If the total percentage of the frequency of pressing the first time and then pressing again for the same type of object during the disinfection period exceeds the usage frequency percentage threshold, or if the percentage of the frequency of pressing the first time and then pressing again for different types of objects at different times exceeds the occurrence frequency percentage threshold, it is determined that the single quantity set for the supply object during the disinfection period is affected, and the current disinfection period is marked as a period of abnormal single output. If the total percentage of the frequency of pressing the button again after the first press for the same type of object during the disinfection period does not exceed the usage frequency percentage threshold, and the percentage of the frequency of pressing the button again after the first press for different types of objects at different times does not exceed the occurrence frequency percentage threshold, then it is determined that the single quantity set for the supply object during the disinfection period has no impact, and the current disinfection period is marked as a period of normal single output.

5. The gel sensor dispenser drug dispensing system based on disinfection behavior collection and analysis according to claim 4, characterized in that, When the real-time disinfection period is a high-demand period or a period of abnormal single output, a level 1 dosing signal is generated; When the real-time disinfection period is a high-demand period and a period of normal single output, a secondary dosing signal is generated; When the real-time disinfection period is a period of low demand or a period of abnormal single output, a level 3 dosing signal is generated; When the real-time disinfection period is a period of low demand and a period of normal single output, a level 4 dosing signal is generated.

6. The gel sensor dispenser drug dispensing system based on disinfection behavior collection and analysis according to claim 1, characterized in that, The operation process of the distributor monitoring unit is as follows: It analyzes the real-time storage capacity of the target, collects the rate of decrease of the real-time storage capacity percentage within the target, and the capacity difference between the real-time demand for the remaining disinfection period at the current usage speed and the remaining quantity corresponding to the real-time storage capacity percentage. It then analyzes these data: If the rate of decrease of the real-time storage capacity percentage within the target exceeds a decrease rate threshold, and the capacity difference between the real-time demand for the remaining disinfection period at the current usage speed and the remaining quantity corresponding to the real-time storage capacity percentage exceeds a capacity difference threshold, then it is determined that the target needs additional medication, and a primary demand signal is set. If the rate of decrease of the real-time storage capacity percentage within the target exceeds a decrease rate threshold, or the capacity difference between the real-time demand for the remaining disinfection period at the current usage speed and the remaining quantity corresponding to the real-time storage capacity percentage exceeds a capacity difference threshold, then it is determined that the target needs additional medication, and a secondary demand signal is set. If the rate of decrease of the real-time storage capacity percentage within the target does not exceed a decrease rate threshold, and the capacity difference between the real-time demand for the remaining disinfection period at the current usage speed and the remaining quantity corresponding to the real-time storage capacity percentage does not exceed a capacity difference threshold, then it is determined that the target does not need additional medication.

7. The gel sensor dispenser drug dispensing system based on disinfection behavior collection and analysis according to claim 1, characterized in that, The decision-making unit operates as follows: the current supply objects are sorted by drug addition order and divided into priority drug addition objects and secondary drug addition objects based on the priority drug addition order corresponding to the first-level demand signal. Then, the priority drug addition objects or secondary drug addition objects are sorted in ascending order according to the drug addition signal level value, and drug addition is performed in the current sorting order.

8. The gel sensor dispenser drug dispensing system based on disinfection behavior collection and analysis according to claim 7, characterized in that, When the target device does not require additional medication, the system obtains the remaining supply time of the target device at the average usage speed during the current disinfection period. Then, based on the current real-time usage speed, it obtains the consumption time of the remaining amount for this use, and calculates the remaining supply time based on the difference between the available supply time and the consumption time. If the remaining supply time is lower than the set difference time threshold, and the usage time at which the real-time usage speed exceeds the average usage speed exceeds the set usage time threshold, the corresponding target device is set as a priority addition candidate. If the remaining supply time is lower than the set difference time threshold, or the usage time at which the real-time usage speed exceeds the average usage speed exceeds the set usage time threshold, the corresponding target device is set as a secondary addition candidate. If the remaining supply time is not lower than the set difference time threshold, and the usage time at which the real-time usage speed exceeds the average usage speed does not exceed the set usage time threshold, the corresponding target device is set as a last addition candidate.

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