Surgical instrument pre-cleaning and disinfecting system and treatment equipment for daytime operating room

Abstract

The invention discloses a surgical instrument pre-cleaning and disinfecting system and treatment equipment for a daytime operating room, relates to the technical field of cleaning and disinfecting systems, and aims to solve the technical problems that an existing cleaning and disinfecting system is prone to liquid medicine waste and incomplete disinfection. The rack is used for placing surgical instruments to be cleaned and disinfected and executing a cleaning and disinfecting process; the multi-dimensional residue detection module is used for detecting chlorine-containing disinfectant residue and bacterial residue on the surface of the surgical instrument; the control module is in communication connection with the cleaning and disinfection module and the multi-dimensional residue detection module and is used for calculating the consumption of the chlorine-containing disinfectant and judging the bacterial residue state; and the intelligent prediction module is in communication connection with the control module, is internally provided with a nonlinear relation model formed through historical data training, and is used for predicting the addition amount of the chlorine-containing disinfectant required by secondary backwashing disinfection according to the bacterial residue. The device has the advantages of reducing waste of liquid medicine in the cleaning and disinfection process and improving the disinfection effect.

Description

Technical Field

[0001] The present invention relates to the technical field of cleaning and disinfection systems, and more particularly to a surgical instrument pre-cleaning and disinfection system and processing equipment for use in daytime operating rooms. Background Art

[0002] In the efficient operation of day surgery rooms, pre-cleaning and disinfection of surgical instruments faces the dual challenges of precise control and resource optimization. Existing technologies rely on experience or fixed parameters to determine the dosage of chlorine-containing disinfectants, lacking dynamic correlation analysis between multi-modal residues on instrument surfaces and disinfectant consumption.

[0003] Specifically, traditional systems only detect liquid residue after a single rinse by measuring liquid concentration. They are unable to simultaneously quantify the decomposition of solid residues, as reflected by chlorine volatilization during the drying process. Furthermore, it is difficult to intelligently adjust the amount of liquid added for the second re-rinse based on the amount of residual bacteria. This leads to a common contradiction in the disinfection process: "wasteful liquid" and "incomplete disinfection." Excessive addition of disinfectant causes chemical contamination and increased costs, while residual bacteria that remain are not inactivated and may pose a risk of postoperative infection. Given this, we propose a pre-cleaning and disinfection system and processing equipment for surgical instruments in day surgery rooms. Summary of the Invention

[0004] The purpose of the present invention is to provide a surgical instrument pre-cleaning and disinfection system and processing equipment for day surgery rooms, so as to solve the technical problems of the existing cleaning and disinfection systems that are prone to waste of liquid medicine and incomplete disinfection.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: a surgical instrument pre-cleaning and disinfection system for a day surgery room, comprising: A cleaning and disinfection module is used to place surgical instruments to be cleaned and disinfected and to perform the cleaning and disinfection process; Multi-dimensional residue detection module, used to detect the residual amount of chlorine-containing disinfectant and bacterial residue on the surface of surgical instruments; The control module is connected to the cleaning and disinfection module and the multi-dimensional residual detection module to calculate the consumption of chlorine-containing disinfectant and determine the residual status of bacteria; The intelligent prediction module is connected to the control module and has a built-in nonlinear relationship model formed by historical data training. It is used to predict the amount of chlorine-containing disinfectant required for secondary rewashing and disinfection based on the residual bacteria; The closed-loop execution module is connected to the control module and the cleaning and disinfection module, and is used to control the secondary washing and disinfection program according to the output results of the intelligent prediction module.

[0006] Preferably, the cleaning and disinfection module integrates the functions of cleaning, disinfection, rinsing and drying, and can perform the following operations in sequence: cleaning and disinfecting the surgical instruments by adding chlorine-containing disinfectant, after disinfection is completed, using clean water to rinse the residual disinfectant on the surface of the instrument, collecting the rinsing liquid after rinsing, and drying the instrument.

[0007] Preferably, the cleaning and disinfection module includes: The treatment chamber is used to accommodate surgical instruments and treatment liquids, and forms a closed treatment space inside for cleaning, disinfection, water rinsing, and drying. The inner wall of the treatment chamber is provided with a corrosion-resistant coating to adapt to the environment of chlorine-containing disinfectants; The liquid supply unit is connected to the treatment chamber and includes a metering pump and a concentration proportioning device for accurately adding chlorine-containing disinfectant according to the preset concentration; The clean water supply unit is connected to the treatment chamber and can provide high-pressure spray or pulsed water flow to achieve efficient flushing of residual disinfectant on the surface of the instrument; The waste liquid collection unit is connected to the drain port of the treatment chamber and includes a filtering device and a flow monitoring module for collecting the liquid generated by flushing and recording the liquid volume; The drying unit is connected to the processing chamber and dries the rinsed instruments through a hot air circulation system. The hot air circulation system has a built-in temperature regulation device. The drying unit is integrated with a chlorine concentration detection unit and a bacterial residue detection unit, and real-time detection of gas parameters during the drying process is achieved through a gas sampling pipeline.

[0008] Preferably, the multi-dimensional residue detection module includes: A chlorine concentration detection unit is used to detect changes in chlorine concentration within the module during the drying process, thereby quantifying the gaseous / liquid residual correlation of chlorine-containing disinfectant on the surface of surgical instruments; Liquid concentration detection unit, used to detect the concentration of chlorine-containing disinfectant in the collected liquid and calculate the amount of liquid residue after flushing based on the amount of liquid collected; The bacterial residue detection unit determines the residual bioburden on the surface of the device by detecting changes in the concentration of volatile organic compound gases during the drying process.

[0009] Preferably, the control module can calculate the full-form consumption of chlorine-containing disinfectant based on the information of the initially added chlorine-containing disinfectant, the liquid concentration detection unit data and the chlorine concentration detection unit data, and determine the residual bacteria status after the first disinfection based on the bacterial residue detection unit data.

[0010] Preferably, the method for the control module to calculate the consumption of all forms of chlorine-containing disinfectant includes: Based on the concentration and volume of the initially added chlorine-containing disinfectant, combined with the ratio data of the liquid supply unit, the initial total amount of disinfectant is calculated using the following formula: ; in, is the initial disinfectant concentration, is the initial disinfectant volume; Based on the liquid volume recorded by the waste liquid collection unit and the real-time detection data of the liquid concentration detection unit, the amount of chlorine-containing disinfectant remaining in the liquid after flushing is calculated using the concentration-volume conversion model. The algorithm formula is: ; in, For waste liquid detection concentration, is the volume of waste liquid; Based on the concentration-time variation curve collected by the chlorine concentration detection unit during the drying process, combined with the spatial volume and temperature parameters of the processing chamber, the chemical reaction kinetic model is used to deduce the gaseous sodium chlorate residue corresponding to the chlorine generated by decomposition and volatilization on the surface of the device. The algorithm formula is: ; in, To process the cavity volume, is the chlorine concentration time function, and are the molar masses of chlorine-containing disinfectant and chlorine gas, respectively. To monitor the system efficiency coefficient, The drying end time, is the temperature correction coefficient, and its expression is ,in, is the drying temperature, is the standard temperature, is the temperature influence coefficient, which is determined by fitting the experimental data; The actual consumption of chlorine-containing disinfectant is obtained by subtracting the liquid residual amount and the gaseous residual amount from the initial total amount and combining it with the preset disinfection reaction consumption coefficient.

[0011] Preferably, the intelligent prediction module can receive the disinfectant consumption and bacterial residue data transmitted by the control module, and construct a dynamic mapping relationship between the two. When there are bacterial residues after the first disinfection, the amount of chlorine-containing disinfectant required for the second re-washing and disinfection is predicted through the relationship model based on the real-time detected bacterial residues.

[0012] Preferably, the nonlinear relationship model training process of the intelligent prediction module includes: Collect historical cleaning and disinfection data covering at least three typical instrument types, five contamination levels, and several instrument materials; Preprocess historical data, including outlier removal, data normalization, and feature encoding, to extract key influencing factors such as device structural complexity, contaminant type, disinfection time, and drying temperature; A deep learning neural network was used to train the preprocessed dataset, and the model hyperparameters were optimized through cross-validation to construct a prediction model that can reflect the nonlinear mapping relationship between disinfectant consumption and bacterial residue.

[0013] Preferably, the execution logic of the closed-loop execution module includes: A preset bacterial residual threshold is dynamically configured according to the hospital's disinfection standards and the type of instrument. When the bacterial residual after the first disinfection exceeds the threshold, a secondary rewash procedure is triggered. Based on the amount of chlorine-containing disinfectant added output by the intelligent prediction module, combined with the current temperature of the treatment chamber and the effective chlorine concentration of the residual liquid on the surface of the instrument, the volume of disinfectant and the action time required for the second rewash are calculated through the dose-effect model.

[0014] A surgical instrument pre-cleaning and disinfecting treatment device for a day operation room is disclosed. The system is applied to the surgical instrument cleaning and disinfecting treatment in the surgical instrument pre-cleaning and disinfecting treatment device for a day operation room.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention establishes a multi-dimensional residual detection and intelligent prediction closed loop. Through the synergistic effect of the chlorine concentration detection unit, liquid concentration detection unit and bacterial residue detection unit, the system obtains the gaseous / liquid residual amount and bioburden residual amount of chlorine-containing disinfectant on the instrument surface in real time. Combining the full-form consumption calculation of the control module with the nonlinear relationship model of the intelligent prediction module, the amount of chlorine-containing disinfectant required for secondary rewashing is accurately predicted. This mechanism completely changes the traditional empirical medication model, achieves a dynamic balance between disinfectant usage and disinfection effect, and fundamentally resolves the core contradiction between drug waste and incomplete disinfection.

[0016] 2. The present invention designs precise quantification and correlation analysis of multi-form residues. Different from the traditional scheme of single liquid detection, the present invention deduces the gaseous residue of chlorine-containing disinfectant through the change of chlorine concentration during the drying process, and detects liquid residue in combination with liquid concentration to form a gas-liquid two-phase quantitative analysis of disinfectant residue. At the same time, the concentration of volatile organic compound gas is used to detect bacterial metabolic characteristic gases to realize real-time monitoring of biological residues. This multi-dimensional detection system significantly improves the comprehensiveness and accuracy of residue detection, avoids the deviation of disinfection process caused by misjudgment of a single indicator, and provides a reliable data basis for intelligent prediction.

[0017] 3. The intelligent prediction module of the present invention is based on a nonlinear relationship model trained with historical data. It can automatically learn the impact of different instrument types and contamination levels on disinfectant consumption and bacterial residues. Through real-time data iterative optimization, it dynamically adjusts the prediction parameters, making the secondary rewashing scheme adaptive to complex scenarios. This upgrade from "fixed parameter control" to "data-driven decision-making" not only improves the automation level of the disinfection process, but also builds a sustainable and optimized intelligent control system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 Schematic diagram of the system framework of the present invention; Figure 2 This is a physical picture of the product of the present invention; Figure 3 This is a physical picture of the product of the present invention. DETAILED DESCRIPTION

[0019] To facilitate those skilled in the art to understand the technical solution of the present invention, the technical solution of the present invention is further described with reference to the accompanying drawings.

[0020] Example 1, as Figure 1 As shown, the present invention provides a surgical instrument pre-cleaning and disinfection system for a day surgery room, comprising: A cleaning and disinfection module is used to place surgical instruments to be cleaned and disinfected and to perform the cleaning and disinfection process; Multi-dimensional residue detection module, used to detect the residual amount of chlorine-containing disinfectant and bacterial residue on the surface of surgical instruments; The control module is connected to the cleaning and disinfection module and the multi-dimensional residual detection module to calculate the consumption of chlorine-containing disinfectant and determine the residual status of bacteria; The intelligent prediction module is connected to the control module and has a built-in nonlinear relationship model formed by historical data training. It is used to predict the amount of chlorine-containing disinfectant required for secondary rewashing and disinfection based on the residual bacteria; The closed-loop execution module is connected to the control module and the cleaning and disinfection module, and is used to control the secondary washing and disinfection program according to the output results of the intelligent prediction module.

[0021] In an embodiment of the present invention, the cleaning and disinfection module integrates the functions of cleaning, disinfection, rinsing and drying, and can perform the following operations in sequence: cleaning and disinfecting the surgical instruments by adding chlorine-containing disinfectant. After the disinfection is completed, the residual disinfectant on the surface of the instrument is rinsed with clean water, the rinsing liquid is collected after rinsing, and the instrument is dried.

[0022] In an embodiment of the present invention, the multi-dimensional residue detection module includes: A chlorine concentration detection unit is used to detect changes in chlorine concentration within the module during the drying process, thereby quantifying the gaseous / liquid residual correlation of chlorine-containing disinfectant on the surface of surgical instruments; Liquid concentration detection unit, used to detect the concentration of chlorine-containing disinfectant in the collected liquid and calculate the amount of liquid residue after flushing based on the amount of liquid collected; The bacterial residue detection unit determines the residual bioburden on the surface of the device by detecting changes in the concentration of volatile organic compound gases during the drying process.

[0023] In an embodiment of the present invention, the control module can calculate the full-form consumption of chlorine-containing disinfectant (including reaction consumption, liquid residue, and gaseous volatilization) based on the information of the initially added chlorine-containing disinfectant, the liquid concentration detection unit data, and the chlorine concentration detection unit data, and judge the bacterial residual status after the first disinfection based on the bacterial residual detection unit data.

[0024] In an embodiment of the present invention, the intelligent prediction module is capable of receiving the disinfectant consumption and bacterial residue data transmitted by the control module, and constructing a dynamic mapping relationship between the two. When there are bacterial residues after the first disinfection, the amount of chlorine-containing disinfectant required for the second re-washing and disinfection is predicted through the relationship model based on the real-time detected bacterial residues.

[0025] In an embodiment of the present invention, the cleaning and disinfection module includes: The treatment chamber is used to accommodate surgical instruments and treatment liquids, and forms a closed treatment space inside for cleaning, disinfection, water rinsing, and drying. The inner wall of the treatment chamber is provided with a corrosion-resistant coating to adapt to the environment of chlorine-containing disinfectants; The liquid supply unit is connected to the treatment chamber and includes a metering pump and a concentration proportioning device for accurately adding chlorine-containing disinfectant according to the preset concentration; The clean water supply unit is connected to the treatment chamber and can provide high-pressure spray or pulsed water flow to achieve efficient flushing of residual disinfectant on the surface of the instrument; The waste liquid collection unit is connected to the drain port of the treatment chamber and includes a filtering device and a flow monitoring module for collecting the liquid generated by flushing and recording the liquid volume; The drying unit is connected to the processing chamber and dries the rinsed instruments through a hot air circulation system. The hot air circulation system has a built-in temperature regulation device. The drying unit is integrated with a chlorine concentration detection unit and a bacterial residue detection unit, and real-time detection of gas parameters during the drying process is achieved through a gas sampling pipeline.

[0026] In an embodiment of the present invention, the method for the control module to calculate the consumption of all forms of chlorine-containing disinfectant includes: Based on the concentration and volume of the initially added chlorine-containing disinfectant, combined with the ratio data of the liquid supply unit, the initial total amount of disinfectant is calculated using the following formula: ; in, is the initial disinfectant concentration, is the initial disinfectant volume; Based on the liquid volume recorded by the waste liquid collection unit and the real-time detection data of the liquid concentration detection unit, the amount of chlorine-containing disinfectant remaining in the liquid after flushing is calculated using the concentration-volume conversion model. The algorithm formula is: ; in, For waste liquid detection concentration, is the volume of waste liquid; Based on the concentration-time variation curve collected by the chlorine concentration detection unit during the drying process, combined with the spatial volume and temperature parameters of the processing chamber, the chemical reaction kinetic model is used to deduce the gaseous sodium chlorate residue corresponding to the chlorine generated by decomposition and volatilization on the surface of the device. The algorithm formula is: ; in, To process the cavity volume, is the chlorine concentration time function, and are the molar masses of chlorine-containing disinfectant and chlorine gas, respectively. To monitor the system efficiency coefficient, The drying end time, It means dividing the time axis into infinitely small intervals and calculating the cumulative effect by integration. is the temperature correction coefficient, and its expression is ,in, is the drying temperature, is the standard temperature, is the temperature influence coefficient, which is determined by fitting the experimental data; The actual consumption of chlorine-containing disinfectant is obtained by subtracting the liquid residual amount and the gaseous residual amount from the initial total amount and combining it with the preset disinfection reaction consumption coefficient.

[0027] In an embodiment of the present invention, the nonlinear relationship model training process of the intelligent prediction module includes: Collect historical cleaning and disinfection data covering at least three typical instrument types, five contamination levels, and several instrument materials; Preprocess historical data, including outlier removal, data normalization, and feature encoding, to extract key influencing factors such as device structural complexity, contaminant type, disinfection time, and drying temperature; A deep learning neural network was used to train the preprocessed data set. The model hyperparameters were optimized through cross-validation to construct a prediction model that can reflect the nonlinear mapping relationship between disinfectant consumption and bacterial residue. The algorithm formula is as follows: Normalize the data: ; Model training objective function: ; in, is the original eigenvalue, / is the characteristic extreme value, is the actual consumption, is the model's predicted value.

[0028] In an embodiment of the present invention, the connection between each detection unit of the multi-dimensional residue detection module and the processing chamber is as follows: The chlorine concentration detection unit is connected to the hot air outlet of the drying unit through a high-temperature resistant gas conduit, and uses an electrochemical sensor or a spectrometer to detect the chlorine concentration of the exhaust gas during the drying process in real time; The bacterial residue detection unit is connected to the sampling hole on the top of the processing chamber through a built-in gas sampling pump, and uses a metal oxide semiconductor sensor to detect the concentration of volatile organic compound gases produced by bacterial metabolism on the surface of the device; The liquid concentration detection unit is connected to the bottom of the storage container of the waste liquid collection unit, and uses an electrode method to perform real-time concentration detection on the collected flushing liquid.

[0029] In an embodiment of the present invention, the data interaction between the control module and the intelligent prediction module includes: After each cleaning and disinfection process, the control module transmits a complete data record containing the unique identification of the instrument, initial liquid parameters, consumption calculation results, bacterial residue detection value, and disinfection effect evaluation to the intelligent prediction module; After receiving the data, the intelligent prediction module iteratively updates the nonlinear relationship model through an incremental learning algorithm, automatically identifies new device types or contamination scenarios, and adjusts model parameters to optimize prediction accuracy. The algorithm formula is: ; in, For the The model parameters of the iteration, is the learning rate, To add a new dataset, is the gradient of the loss function.

[0030] In an embodiment of the present invention, the execution logic of the closed-loop execution module includes: A preset bacterial residual threshold is dynamically configured according to the hospital's disinfection standards and the type of instrument. When the bacterial residual after the first disinfection exceeds the threshold, a secondary rewash procedure is triggered. Based on the amount of chlorine-containing disinfectant added output by the intelligent prediction module, combined with the current temperature of the treatment chamber and the effective chlorine concentration of the residual liquid on the instrument surface, the volume of disinfectant and the action time required for the second rewash are calculated using the dose-effect model. The formula for calculating the effective chlorine content is: ,in, The amount of residual drug on the surface of the device, is the residual efficacy coefficient, Add concentration to the prediction, Add volume to the forecast.

[0031] In an embodiment of the present invention, the secondary rewash control strategy of the closed-loop execution module includes: Establish a secondary re-washing and disinfection program library, which includes basic programs for different instrument types and residual states. The program library is formed by training historical successful case data; When the intelligent prediction module outputs the addition amount, it prioritizes the optimal solution in the solution library, fine-tunes the parameters based on real-time detection data, and generates a personalized disinfection solution that includes disinfectant concentration, addition amount, spray mode, and action time. After the second rewash, the key parameters and effect data of this disinfection are automatically recorded for updating the solution library and optimizing the nonlinear relationship model.

[0032] A surgical instrument pre-cleaning and disinfecting treatment device for a day operation room is disclosed. The system is applied to the surgical instrument cleaning and disinfecting treatment in the surgical instrument pre-cleaning and disinfecting treatment device for a day operation room.

[0033] The embodiments disclosed in the present invention are preferred embodiments, but are not limited to them. Ordinary technicians in this field can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. As long as they do not deviate from the spirit of the present invention, they are all within the scope of protection of the present invention.

Claims

1. A surgical instrument pre-cleaning and disinfection system for day surgery rooms, characterized in that: include: A cleaning and disinfection module is used to place surgical instruments to be cleaned and disinfected and to perform the cleaning and disinfection process; Multi-dimensional residue detection module, used to detect the residual amount of chlorine-containing disinfectant and bacterial residue on the surface of surgical instruments; The control module is connected to the cleaning and disinfection module and the multi-dimensional residual detection module to calculate the consumption of chlorine-containing disinfectant and determine the residual status of bacteria; The intelligent prediction module is connected to the control module and has a built-in nonlinear relationship model formed by historical data training. It is used to predict the amount of chlorine-containing disinfectant required for secondary rewashing and disinfection based on the residual bacteria; The closed-loop execution module is connected to the control module and the cleaning and disinfection module, and is used to control the secondary washing and disinfection program according to the output results of the intelligent prediction module.

2. A surgical instrument pre-cleaning and disinfection system for a day surgery room according to claim 1, characterized in that: The cleaning and disinfection module integrates the functions of cleaning, disinfection, rinsing and drying, and can perform the following operations in sequence: cleaning and disinfecting the surgical instruments by adding chlorine-containing disinfectant. After disinfection is completed, the residual disinfectant on the surface of the instrument is rinsed with clean water, the rinsing liquid is collected after rinsing, and the instrument is dried.

3. A surgical instrument pre-cleaning and disinfection system for a day surgery room according to claim 2, characterized in that: The cleaning and disinfection module comprises: The treatment chamber is used to accommodate surgical instruments and treatment liquids, and forms a closed treatment space inside for cleaning, disinfection, water rinsing, and drying. The inner wall of the treatment chamber is provided with a corrosion-resistant coating to adapt to the environment of chlorine-containing disinfectants; The liquid supply unit is connected to the treatment chamber and includes a metering pump and a concentration proportioning device for accurately adding chlorine-containing disinfectant according to the preset concentration; The clean water supply unit is connected to the treatment chamber and can provide high-pressure spray or pulsed water flow to achieve efficient flushing of residual disinfectant on the surface of the instrument; The waste liquid collection unit is connected to the drain port of the treatment chamber and includes a filtering device and a flow monitoring module for collecting the liquid generated by flushing and recording the liquid volume; The drying unit is connected to the processing chamber and dries the rinsed instruments through a hot air circulation system. The hot air circulation system has a built-in temperature regulation device. The drying unit is integrated with a chlorine concentration detection unit and a bacterial residue detection unit, and real-time detection of gas parameters during the drying process is achieved through a gas sampling pipeline.

4. A surgical instrument pre-cleaning and disinfection system for a day surgery room according to claim 3, characterized in that: The multi-dimensional residue detection module includes: A chlorine concentration detection unit is used to detect changes in chlorine concentration within the module during the drying process, thereby quantifying the gaseous / liquid residual correlation of chlorine-containing disinfectant on the surface of surgical instruments; Liquid concentration detection unit, used to detect the concentration of chlorine-containing disinfectant in the collected liquid and calculate the amount of liquid residue after flushing based on the amount of liquid collected; The bacterial residue detection unit determines the residual bioburden on the surface of the device by detecting changes in the concentration of volatile organic compound gases during the drying process.

5. A surgical instrument pre-cleaning and disinfection system for a day surgery room according to claim 4, characterized in that: The control module can calculate the full-form consumption of chlorine-containing disinfectant based on the information of the initially added chlorine-containing disinfectant, the liquid concentration detection unit data and the chlorine concentration detection unit data, and judge the bacterial residual status after the first disinfection based on the bacterial residual detection unit data.

6. A surgical instrument pre-cleaning and disinfection system for a day surgery room according to claim 5, characterized in that: The method for the control module to calculate the consumption of all forms of chlorine-containing disinfectant includes: Based on the concentration and volume of the initially added chlorine-containing disinfectant, combined with the ratio data of the liquid supply unit, the initial total amount of disinfectant is calculated using the following formula: ； in, is the initial disinfectant concentration, is the initial disinfectant volume; Based on the liquid volume recorded by the waste liquid collection unit and the real-time detection data of the liquid concentration detection unit, the amount of chlorine-containing disinfectant remaining in the liquid after flushing is calculated using the concentration-volume conversion model. The algorithm formula is: ； in, For waste liquid detection concentration, is the volume of waste liquid; Based on the concentration-time variation curve collected by the chlorine concentration detection unit during the drying process, combined with the spatial volume and temperature parameters of the processing chamber, the chemical reaction kinetic model is used to deduce the gaseous sodium chlorate residue corresponding to the chlorine generated by decomposition and volatilization on the surface of the device. The algorithm formula is: ； in, To process the cavity volume, is the chlorine concentration time function, and are the molar masses of chlorine-containing disinfectant and chlorine gas, respectively. To monitor the system efficiency coefficient, The drying end time, is the temperature correction coefficient, and its expression is ,in, is the drying temperature, is the standard temperature, is the temperature influence coefficient, which is determined by fitting the experimental data; The actual consumption of chlorine-containing disinfectant is obtained by subtracting the liquid residual amount and the gaseous residual amount from the initial total amount and combining it with the preset disinfection reaction consumption coefficient.

7. A surgical instrument pre-cleaning and disinfection system for a day surgery room according to claim 6, characterized in that: The intelligent prediction module can receive the disinfectant consumption and bacterial residue data transmitted by the control module, and construct a dynamic mapping relationship between the two. When there are bacterial residues after the first disinfection, the amount of chlorine-containing disinfectant required for secondary washing and disinfection is predicted through the relationship model based on the real-time detected bacterial residues.

8. A surgical instrument pre-cleaning and disinfection system for a day surgery room according to claim 7, characterized in that: The nonlinear relationship model training process of the intelligent prediction module includes: Collect historical cleaning and disinfection data covering at least three typical instrument types, five contamination levels, and several instrument materials; Preprocess historical data, including outlier removal, data normalization, and feature encoding, to extract key influencing factors such as device structural complexity, contaminant type, disinfection time, and drying temperature; A deep learning neural network was used to train the preprocessed dataset, and the model hyperparameters were optimized through cross-validation to construct a prediction model that can reflect the nonlinear mapping relationship between disinfectant consumption and bacterial residue.

9. A surgical instrument pre-cleaning and disinfection system for a day surgery room according to claim 8, characterized in that: The execution logic of the closed-loop execution module includes: A preset bacterial residual threshold is dynamically configured according to the hospital's disinfection standards and the type of instrument. When the bacterial residual after the first disinfection exceeds the threshold, a secondary rewash procedure is triggered. Based on the amount of chlorine-containing disinfectant added output by the intelligent prediction module, combined with the current temperature of the treatment chamber and the effective chlorine concentration of the residual liquid on the surface of the instrument, the volume of disinfectant and the action time required for the second rewash are calculated through the dose-effect model.

10. A surgical instrument pre-cleaning and disinfecting device for a day surgery room, which uses the surgical instrument pre-cleaning and disinfecting system for a day surgery room according to claim 9, characterized in that: The system is applied to the cleaning and disinfection of surgical instruments in the surgical instrument pre-cleaning and disinfection equipment of the day surgery room.

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