An efficient and automated medical waste treatment system

Abstract

The present invention discloses an efficient and automated medical waste treatment system, which relates to the technical field of medical waste treatment, and includes: a medical waste treatment station for treating medical waste; a station analysis module for obtaining the operation data of the medical waste treatment station, and analyzing the medical waste treatment status of the medical waste treatment station based on the operation data of the medical waste treatment station; a medical waste generation analysis module for analyzing and predicting the generation efficiency of various types of medical waste; a medical waste automated matching processing module for determining the corresponding medical waste treatment station for various types of medical waste based on the generation efficiency of various types of medical waste and the medical waste treatment status of the medical waste treatment station, and automatically performing the transfer and treatment of medical waste. The advantages of the present invention are: integrating the full chain management of medical waste generation and treatment, and realizing comprehensive monitoring and optimized allocation of medical waste from generation to final treatment through intelligent and automated means.

Description

Technical Field

[0001] The present invention relates to the technical field of medical waste treatment, and in particular to a highly efficient and automated medical waste treatment system. Background Art

[0002] Medical waste may contain harmful substances, such as bacteria, viruses, chemical residues, etc. If not properly handled, it will pollute the soil, water and air, posing a huge threat to the environment and human health. Through effective medical waste treatment, the harm of these pollutants to the environment can be significantly reduced. Therefore, medical waste treatment is of great significance to environmental protection and public health protection.

[0003] The existing medical waste treatment system, due to the lack of reasonable and effective comprehensive analysis of both the generation and treatment of medical waste, is difficult to achieve overall planning for medical waste treatment and cannot allocate the most optimized medical waste treatment site for medical waste, which can easily lead to irrational use of medical waste treatment resources and affect the efficiency of automated medical waste treatment. Summary of the invention

[0004] In order to solve the above-mentioned technical problems, an efficient and automated medical waste treatment system is provided. The technical solution solves the problem that the existing medical waste treatment system mentioned above is difficult to achieve overall planning for medical waste treatment due to the lack of reasonable and effective comprehensive analysis of both ends of medical waste generation and treatment, and it is impossible to allocate the most optimized medical waste treatment site for medical waste, which easily leads to unreasonable utilization of medical waste treatment resources and affects the efficiency of automated medical waste treatment.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] An efficient and automated medical waste treatment system, comprising:

[0007] A medical waste treatment site, wherein the medical waste treatment site is used to treat medical waste;

[0008] A site analysis module, the site analysis module is electrically connected to the medical waste treatment site, the site analysis module is used to obtain the operation data of the medical waste treatment site, and analyze the medical waste treatment status of the medical waste treatment site based on the operation data of the medical waste treatment site;

[0009] A medical waste generation analysis module, which is used to analyze and predict the generation rate of various types of medical waste;

[0010] An automated medical waste matching and processing module is electrically connected to the site analysis module and the medical waste generation analysis module. The automated medical waste matching and processing module is used to determine the corresponding medical waste treatment sites for various types of medical waste based on the generation efficiency of various types of medical waste and the medical waste treatment status of the medical waste treatment sites, and automatically transfer and process the medical waste.

[0011] Preferably, the site analysis module includes:

[0012] A data collection unit, the data collection unit is used to collect operation data of the medical waste treatment station, the operation data of the medical waste treatment station includes the working hours of the medical waste treatment station, the average workload and the types of medical waste treatment;

[0013] A versatility analysis unit, the versatility analysis unit is used to determine the versatility index of each medical waste treatment site based on the type of medical waste treatment of the medical waste treatment site;

[0014] A stability analysis unit is used to determine the stability index of the medical waste treatment site based on the working hours and average workload of the medical waste treatment site.

[0015] Preferably, the determination of the versatility index of each medical waste treatment site based on the type of medical waste treatment of the medical waste treatment site specifically includes:

[0016] The medical waste treatment sites that can treat the medical waste types are recorded as matching treatment sites for the medical waste types;

[0017] Determine all matching treatment sites for the medical waste type, and record the total number of all matching treatment sites for the medical waste type as the specific treatment indicator for the medical waste type;

[0018] Determine the minimum value of the specific treatment index of all types of medical waste that each medical waste treatment station can treat as the benchmark universality index of the medical waste treatment station;

[0019] Based on the baseline universality index of medical waste treatment sites, the universality index of each medical waste treatment site is calculated through a normalized formula;

[0020] The normalization formula is specifically: ;

[0021] In the formula, is the versatility index of the i-th medical waste treatment site, is the maximum value of the benchmark versatility index of all medical waste treatment sites, is the minimum value of the benchmark versatility index of all medical waste treatment sites, is the benchmark versatility index of the i-th medical waste treatment site, and n is the total number of medical waste treatment sites.

[0022] Preferably, the stability index of the medical waste treatment site determined based on the working hours and average workload of the medical waste treatment site specifically includes:

[0023] Taking the working hours and average workload of medical waste treatment stations as independent variables, an operation risk regression model of medical waste treatment stations was established based on the Logistic regression model.

[0024] Substitute the actual values ​​of working hours and average workload of medical waste treatment stations into the operational risk regression model of medical waste treatment stations to obtain the stability index of medical waste treatment stations;

[0025] The formula for running the risk regression model is: ;

[0026] In the formula, It is the stability index of medical waste treatment sites. Working hours for medical waste treatment stations, is the average workload of medical waste treatment stations, are model coefficients.

[0027] Preferably, the medical waste generation analysis module specifically includes:

[0028] A historical data collection unit, wherein the historical data collection unit is used to collect the historical generation rate of various types of medical waste;

[0029] A prediction unit is used to analyze and predict the future generation efficiency of various types of medical waste based on the historical generation efficiency of various types of medical waste.

[0030] Preferably, the analyzing and predicting the future generation efficiency of various types of medical waste based on the historical generation efficiency of various types of medical waste specifically includes:

[0031] Based on the attributes of medical waste, at least one prediction evaluation scale is set;

[0032] Extracting several sample values ​​from the historical generation efficiency of medical waste based on the predictive evaluation scale;

[0033] Based on a number of sample values ​​at each prediction evaluation scale, a linear or nonlinear regression fitting method is used to predict the predicted generation rate of medical waste at each prediction evaluation scale;

[0034] The predicted generation efficiency of medical waste under all prediction evaluation scales is averaged to obtain the future generation efficiency of medical waste.

[0035] Preferably, the medical waste automated matching and processing module specifically includes:

[0036] A restriction analysis unit, the restriction analysis unit is used to construct a scheme allocation condition based on the future generation efficiency of each type of medical waste and the waste treatment efficiency of each medical waste treatment site;

[0037] A scheme generating unit, the scheme generating unit is used to generate at least one medical waste treatment allocation scheme under the scheme allocation condition;

[0038] A scheme evaluation unit, the scheme evaluation unit is used to evaluate and select the optimal medical waste treatment allocation scheme;

[0039] A scheme execution unit is used to automatically transfer and process medical waste according to the efficiency of medical waste processed by each medical waste processing station in the optimal medical waste processing allocation scheme.

[0040] Preferably, the scheme allocation conditions are specifically: ,

[0041] in, is the amount of the e-th type of medical waste delivered to the i-th medical waste treatment station for treatment, Generate efficiency for the future of Class E medical waste, is the total number of matching treatment sites for Class E medical waste, is the waste treatment efficiency of the i-th medical waste treatment station, is the total number of all types of medical waste that can be processed by the i-th medical waste treatment station.

[0042] Preferably, the evaluation and screening of the optimal medical waste treatment allocation plan specifically includes:

[0043] Under the scheme allocation condition, generating at least one medical waste treatment allocation scheme;

[0044] Based on the versatility index of each medical waste treatment site and the stability index of each medical waste treatment site, an allocation scheme evaluation model is constructed;

[0045] Based on the allocation scheme evaluation model, the reasonable index of each medical waste treatment allocation scheme is evaluated, and the medical waste treatment allocation scheme corresponding to the maximum value of the reasonable index is selected as the optimal medical waste treatment allocation scheme;

[0046] The allocation scheme evaluation model is specifically as follows: ,

[0047] In the formula, Provide reasonable indicators for medical waste disposal allocation schemes, is the stability index of the i-th medical waste treatment site.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] The present invention proposes an efficient and automated medical waste treatment system. Through comprehensive analysis of the medical waste generation and treatment dual-end system, based on the ability of the medical waste treatment station to treat specific types of medical waste and the operational stability of the medical waste treatment station, the treatment status of the medical waste treatment station is comprehensively evaluated. At the same time, based on the historical generation data of medical waste and the current change trend, the change of future generation data of medical waste is predicted. Based on the treatment status of the medical waste treatment station combined with the future generation data of medical waste, an allocation scheme evaluation model is designed based on the concept of load balancing, which fully considers the versatility indicators, processing capacity and load balancing of the medical waste treatment station, realizes the overall planning of medical waste treatment, allocates the most optimized medical waste treatment station to medical waste in advance, makes full use of medical waste treatment resources, and ensures the efficiency of automated medical waste treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 The structural block diagram of the efficient and automated medical waste treatment system proposed for this scheme;

[0051] Figure 2 A flow chart of the method for determining the universality index of each medical waste treatment site in this plan;

[0052] Figure 3 A flow chart of the method for determining stability indicators of medical waste treatment sites in this scheme;

[0053] Figure 4 A flow chart of the method for predicting the future generation rate of various types of medical waste for the analysis in this program;

[0054] Figure 5 Flowchart of the method for selecting the optimal medical waste disposal allocation plan for the evaluation in this program. DETAILED DESCRIPTION

[0055] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0056] Reference Figure 1 As shown, a highly efficient and automated medical waste treatment system comprises:

[0057] A medical waste treatment site, wherein the medical waste treatment site is used to treat medical waste;

[0058] A site analysis module, the site analysis module is electrically connected to the medical waste treatment site, the site analysis module is used to obtain the operation data of the medical waste treatment site, and analyze the medical waste treatment status of the medical waste treatment site based on the operation data of the medical waste treatment site;

[0059] Site analysis modules include:

[0060] A data collection unit, the data collection unit is used to collect operation data of the medical waste treatment station, the operation data of the medical waste treatment station includes the working hours of the medical waste treatment station, the average workload and the types of medical waste treatment;

[0061] A versatility analysis unit, the versatility analysis unit is used to determine the versatility index of each medical waste treatment site based on the type of medical waste treatment of the medical waste treatment site;

[0062] A stability analysis unit is used to determine the stability index of the medical waste treatment site based on the working hours and average workload of the medical waste treatment site.

[0063] A medical waste generation analysis module, which is used to analyze and predict the generation rate of various types of medical waste;

[0064] The medical waste generation analysis module specifically includes:

[0065] A historical data collection unit, wherein the historical data collection unit is used to collect the historical generation rate of various types of medical waste;

[0066] A prediction unit is used to analyze and predict the future generation efficiency of various types of medical waste based on the historical generation efficiency of various types of medical waste.

[0067] An automated medical waste matching and processing module, the automated medical waste matching and processing module being electrically connected to the site analysis module and the medical waste generation analysis module, and the automated medical waste matching and processing module being used to determine corresponding medical waste processing sites for various types of medical waste based on the generation efficiency of various types of medical waste and the medical waste processing status of the medical waste processing sites, and to automatically perform the transfer and processing of the medical waste;

[0068] A restriction analysis unit, the restriction analysis unit is used to construct a scheme allocation condition based on the future generation efficiency of each type of medical waste and the waste treatment efficiency of each medical waste treatment site;

[0069] A scheme generating unit, the scheme generating unit is used to generate at least one medical waste treatment allocation scheme under the scheme allocation condition;

[0070] A scheme evaluation unit, the scheme evaluation unit is used to evaluate and select the optimal medical waste treatment allocation scheme;

[0071] A scheme execution unit is used to automatically transfer and process medical waste according to the efficiency of medical waste processed by each medical waste processing station in the optimal medical waste processing allocation scheme.

[0072] See also Figure 2 As shown, the versatility index of each medical waste treatment site is determined based on the type of medical waste treatment at the medical waste treatment site, and specifically includes:

[0073] The medical waste treatment sites that can treat the medical waste types are recorded as matching treatment sites for the medical waste types;

[0074] Determine all matching treatment sites for the medical waste type, and record the total number of all matching treatment sites for the medical waste type as the specific treatment indicator for the medical waste type;

[0075] Determine the minimum value of the specific treatment index of all types of medical waste that each medical waste treatment station can treat as the benchmark universality index of the medical waste treatment station;

[0076] Based on the baseline universality index of medical waste treatment sites, the universality index of each medical waste treatment site is calculated through a normalized formula;

[0077] The normalization formula is specifically: ;

[0078] In the formula, is the versatility index of the i-th medical waste treatment site, is the maximum value of the benchmark versatility index of all medical waste treatment sites, is the minimum value of the benchmark versatility index of all medical waste treatment sites, is the benchmark versatility index of the i-th medical waste treatment site, and n is the total number of medical waste treatment sites.

[0079] It can be understood that, for a medical waste treatment station, the smaller the specific treatment index of the type of medical waste it can treat, the more unique the type of medical waste it can treat is relative to other medical waste treatment stations, and the stronger its treatment specificity for certain specific types of medical waste. Therefore, when planning and treating waste in a coordinated manner, the allocation of waste to medical waste treatment stations with strong specificity should be minimized to ensure that there is sufficient processing capacity to cope with possible special medical waste type treatment tasks in the future. Based on this, this plan designs the minimum value of the specific treatment index of all types of medical waste that each medical waste treatment station can treat as the benchmark versatility index of the medical waste treatment station, and adopts the forward normalization processing method to obtain the versatility index of the medical waste treatment station. The larger the versatility index of the medical waste treatment station, the more common the medical waste treated by the medical waste treatment station. If there are multiple medical waste treatment stations that can be treated simultaneously, the higher the versatility of the medical waste treatment station.

[0080] See also Figure 3 As shown, the stability index of the medical waste treatment station determined based on the working hours and average workload of the medical waste treatment station specifically includes:

[0081] Taking the working hours and average workload of medical waste treatment stations as independent variables, an operation risk regression model of medical waste treatment stations was established based on the Logistic regression model.

[0082] Substitute the actual values ​​of working hours and average workload of medical waste treatment stations into the operational risk regression model of medical waste treatment stations to obtain the stability index of medical waste treatment stations;

[0083] The formula for running the risk regression model is: ;

[0084] In the formula, It is the stability index of medical waste treatment sites. Working hours for medical waste treatment stations, is the average workload of medical waste treatment stations, are model coefficients.

[0085] The Logistic regression model is a generalized linear regression analysis model, which is often used in data mining, automatic disease diagnosis, economic forecasting and other fields. The Logistic regression model estimates the probability of an event based on a given independent variable data set. Since the result is a probability, the range of the dependent variable is between 0 and 1. In this embodiment, the working hours and average workload of the medical waste treatment site are used as independent variables, and the probability of no failure of the medical waste treatment site is used as a stability index. The Logistic regression model is established with the stability index as the dependent variable, which can accurately predict the probability of no failure of the medical waste treatment site based on the two-layer factors of the working hours and average workload of the medical waste treatment site.

[0086] See also Figure 4 As shown, the analysis and prediction of the future generation efficiency of various types of medical waste based on the historical generation efficiency of various types of medical waste specifically includes:

[0087] Based on the attributes of medical waste, at least one prediction evaluation scale is set;

[0088] Extracting several sample values ​​from the historical generation efficiency of medical waste based on the predictive evaluation scale;

[0089] Based on a number of sample values ​​at each prediction evaluation scale, a linear or nonlinear regression fitting method is used to predict the predicted generation rate of medical waste at each prediction evaluation scale;

[0090] The predicted generation efficiency of medical waste under all prediction evaluation scales is averaged to obtain the future generation efficiency of medical waste.

[0091] In the prediction of the future generation efficiency of medical waste, this scheme introduces the concept of multiple prediction evaluation scales based on the properties of medical waste. In actual situations, there are medical events related to different time dimensions. For example, the flu season changes periodically in years, and influenza-related medical events will increase during the flu season. Therefore, when evaluating the generation of influenza-related medical waste, the introduction of the flu season evaluation scale can more accurately predict the future generation efficiency of medical waste. Through comprehensive analysis of multiple scales, the future generation rate of medical waste can be accurately predicted.

[0092] The allocation conditions of the scheme are specifically as follows: ,

[0093] in, is the amount of the e-th type of medical waste delivered to the i-th medical waste treatment station for treatment, Generate efficiency for the future of Class E medical waste, is the total number of matching treatment sites for Class E medical waste, is the waste treatment efficiency of the i-th medical waste treatment station, is the total number of all types of medical waste that can be processed by the i-th medical waste treatment station.

[0094] See also Figure 5 As shown, the evaluation and screening of the optimal medical waste treatment allocation plan specifically includes:

[0095] Under the scheme allocation condition, generating at least one medical waste treatment allocation scheme;

[0096] Based on the versatility index of each medical waste treatment site and the stability index of each medical waste treatment site, an allocation scheme evaluation model is constructed;

[0097] Based on the allocation scheme evaluation model, the reasonable index of each medical waste treatment allocation scheme is evaluated, and the medical waste treatment allocation scheme corresponding to the maximum value of the reasonable index is selected as the optimal medical waste treatment allocation scheme;

[0098] The allocation scheme evaluation model is specifically as follows: ,

[0099] In the formula, Provide reasonable indicators for medical waste disposal allocation schemes, is the stability index of the i-th medical waste treatment site.

[0100] Through comprehensive analysis of the medical waste generation and treatment dual-end system, based on the ability of medical waste treatment stations to treat specific types of medical waste and the operational stability of medical waste treatment stations, the treatment status of medical waste treatment stations is comprehensively evaluated. At the same time, based on the historical generation data of medical waste and current change trends, the changes in future generation data of medical waste are predicted. Based on the treatment status of medical waste treatment stations combined with future generation data of medical waste, an allocation scheme evaluation model is designed based on the concept of load balancing, which fully considers the versatility indicators, processing capacity and load balancing of medical waste treatment stations to achieve overall planning of medical waste treatment.

[0101] The use process of the above-mentioned efficient and automated medical waste treatment system is as follows:

[0102] Step 1: The data collection unit collects the operation data of the medical waste treatment station, wherein the operation data of the medical waste treatment station includes the working time, average workload and type of medical waste treatment of the medical waste treatment station;

[0103] Step 2: The versatility analysis unit determines the versatility index of each medical waste treatment station based on the type of medical waste treatment at the medical waste treatment station;

[0104] Step 3: The stability analysis unit determines the stability index of the medical waste treatment site based on the working hours and average workload of the medical waste treatment site;

[0105] Step 4: The historical data collection unit collects the historical generation efficiency of various types of medical waste;

[0106] Step 5: The prediction unit analyzes and predicts the future generation efficiency of various types of medical waste based on the historical generation efficiency of various types of medical waste;

[0107] Step 6: Restrict the analysis unit to construct the scheme allocation conditions based on the future generation efficiency of each type of medical waste and the waste treatment efficiency of each medical waste treatment site;

[0108] Step 7: The plan generation unit generates at least one medical waste treatment allocation plan under the plan allocation condition;

[0109] Step 8: The scheme evaluation unit evaluates and selects the optimal medical waste treatment allocation scheme;

[0110] Step 9: The program execution unit automatically transfers and processes the medical waste according to the efficiency of medical waste processed by each medical waste treatment site in the optimal medical waste treatment allocation plan.

[0111] In summary, the advantages of the present invention are: integrating the whole chain management of medical waste generation and treatment, and realizing comprehensive monitoring and optimized allocation of medical waste from generation to final treatment through intelligent and automated means. Based on the specific type treatment capacity, operation stability, historical generation data and future forecast data of medical waste at the medical waste treatment site, the system designs an allocation scheme evaluation model through a load balancing algorithm to ensure that medical waste is treated in a timely, efficient and reasonable manner.

[0112] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. An efficient and automated medical waste treatment system, characterized in that: include: A medical waste treatment site, wherein the medical waste treatment site is used to treat medical waste; A site analysis module, the site analysis module is electrically connected to the medical waste treatment site, the site analysis module is used to obtain the operation data of the medical waste treatment site, and analyze the medical waste treatment status of the medical waste treatment site based on the operation data of the medical waste treatment site; A medical waste generation analysis module, which is used to analyze and predict the generation rate of various types of medical waste; An automated medical waste matching and processing module, the automated medical waste matching and processing module being electrically connected to the site analysis module and the medical waste generation analysis module, and the automated medical waste matching and processing module being used to determine corresponding medical waste processing sites for various types of medical waste based on the generation efficiency of various types of medical waste and the medical waste processing status of the medical waste processing sites, and to automatically perform the transfer and processing of the medical waste; The medical waste automatic matching and processing module specifically includes: A restriction analysis unit, the restriction analysis unit is used to construct a scheme allocation condition based on the future generation efficiency of each type of medical waste and the waste treatment efficiency of each medical waste treatment site; A scheme generating unit, the scheme generating unit is used to generate at least one medical waste treatment allocation scheme under the scheme allocation condition; A scheme evaluation unit, the scheme evaluation unit is used to evaluate and select the optimal medical waste treatment allocation scheme; A scheme execution unit, the scheme execution unit is used to automatically transfer and process medical waste according to the efficiency of medical waste processed by each medical waste processing station in the optimal medical waste processing allocation scheme; The allocation conditions of the scheme are specifically as follows: , in, is the amount of the e-th type of medical waste delivered to the i-th medical waste treatment station for treatment, Generate efficiency for the future of Class E medical waste, is the total number of matching treatment sites for Class E medical waste, is the waste treatment efficiency of the i-th medical waste treatment station, is the total number of all types of medical waste that can be processed by the i-th medical waste treatment station; The evaluation and screening of the optimal medical waste treatment allocation plan specifically includes: Under the scheme allocation condition, generating at least one medical waste treatment allocation scheme; Based on the versatility index of each medical waste treatment site and the stability index of each medical waste treatment site, an allocation scheme evaluation model is constructed; Based on the allocation scheme evaluation model, the reasonable index of each medical waste treatment allocation scheme is evaluated, and the medical waste treatment allocation scheme corresponding to the maximum value of the reasonable index is selected as the optimal medical waste treatment allocation scheme; The allocation scheme evaluation model is specifically as follows: , In the formula, Provide reasonable indicators for medical waste treatment allocation schemes, is the stability index of the i-th medical waste treatment site.

2. The efficient and automated medical waste treatment system according to claim 1, characterized in that: The site analysis module includes: A data collection unit, the data collection unit is used to collect operation data of the medical waste treatment station, the operation data of the medical waste treatment station includes the working hours of the medical waste treatment station, the average workload and the types of medical waste treatment; A versatility analysis unit, the versatility analysis unit is used to determine the versatility index of each medical waste treatment site based on the type of medical waste treatment of the medical waste treatment site; A stability analysis unit is used to determine the stability index of the medical waste treatment site based on the working hours and average workload of the medical waste treatment site.

3. The efficient and automated medical waste treatment system according to claim 2, characterized in that: The versatility index of each medical waste treatment site is determined based on the type of medical waste treatment at the medical waste treatment site, and specifically includes: The medical waste treatment sites that can treat the medical waste types are recorded as matching treatment sites for the medical waste types; Determine all matching treatment sites for the medical waste type, and record the total number of all matching treatment sites for the medical waste type as the specific treatment indicator for the medical waste type; Determine the minimum value of the specific treatment index of all types of medical waste that each medical waste treatment station can treat as the benchmark universality index of the medical waste treatment station; Based on the baseline universality index of medical waste treatment sites, the universality index of each medical waste treatment site is calculated through a normalized formula; The normalization formula is specifically: ; In the formula, is the versatility index of the i-th medical waste treatment site, is the maximum value of the benchmark versatility index of all medical waste treatment sites, is the minimum value of the benchmark versatility index of all medical waste treatment sites, is the benchmark versatility index of the i-th medical waste treatment site, and n is the total number of medical waste treatment sites.

4. The efficient and automated medical waste treatment system according to claim 3, characterized in that: The stability index of the medical waste treatment station determined based on the working hours and average workload of the medical waste treatment station specifically includes: Taking the working hours and average workload of medical waste treatment stations as independent variables, an operation risk regression model of medical waste treatment stations was established based on the Logistic regression model. Substitute the actual values ​​of working hours and average workload of medical waste treatment stations into the operational risk regression model of medical waste treatment stations to obtain the stability index of medical waste treatment stations; The formula for running the risk regression model is: ; In the formula, It is the stability index of medical waste treatment sites. Working hours for medical waste treatment stations, is the average workload of medical waste treatment stations, are model coefficients.

5. The efficient and automated medical waste treatment system according to claim 4, characterized in that: The medical waste generation analysis module specifically includes: A historical data collection unit, wherein the historical data collection unit is used to collect the historical generation rate of various types of medical waste; A prediction unit is used to analyze and predict the future generation efficiency of various types of medical waste based on the historical generation efficiency of various types of medical waste.

6. The efficient and automated medical waste treatment system according to claim 5, characterized in that: The analysis and prediction of the future generation efficiency of various types of medical waste based on the historical generation efficiency of various types of medical waste specifically includes: Based on the attributes of medical waste, at least one prediction evaluation scale is set; Extracting several sample values ​​from the historical generation efficiency of medical waste based on the predictive evaluation scale; Based on a number of sample values ​​at each prediction evaluation scale, a linear or nonlinear regression fitting method is used to predict the predicted generation rate of medical waste at each prediction evaluation scale; The predicted generation efficiency of medical waste under all prediction evaluation scales is averaged to obtain the future generation efficiency of medical waste.

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