Adaptive sterilization control method based on ward needs
By collecting ward scheduling information and building sterilization parameter space, adaptive sterilization in the ward is achieved, solving the problems of waste of resources and unstable disinfection quality of traditional sterilization methods, and improving sterilization efficiency and safety.
Patent Information
- Application Number
- CN202410614476.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-17
- Publication Date
- 2024-12-10
- Estimated Expiration
- 2044-05-17
AI Technical Summary
The traditional ward sterilization control method cannot be adaptively adjusted according to the actual use and needs of the ward, resulting in waste of resources and unstable disinfection quality, increasing the risk of infection.
By collecting ward scheduling information, including bed occupancy and partition information, building a sterilization standard parameter set and execution parameter space, evaluating disinfection needs, finding the best parameter set, and transmitting it to the disinfection equipment for control, realizing the self-containment of the ward Adapt to sterilization.
Optimize resource utilization, improve disinfection quality and efficiency, ensure the accuracy and safety of ward sterilization, and reduce the risk of infection.
Smart Images
Figure CN118526618B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of bioengineering technology, specifically to the field of sterilization control technology, and in particular to an adaptive sterilization control method based on ward requirements. Background Art
[0002] With the rapid development of the medical industry and the continuous expansion of hospital scale, the importance of ward sterilization control technology in ensuring patient health and preventing hospital-acquired infections has become increasingly prominent. However, traditional ward sterilization control methods are usually based on fixed procedures and cycles, and cannot be adaptively adjusted according to the actual use and needs of the ward. This leads to waste of resources, unstable disinfection quality, and possible increased risk of infection. Summary of the invention
[0003] This application provides an adaptive sterilization control method based on ward needs, aiming to solve the technical problem that traditional sterilization control methods cannot be adaptively adjusted according to the actual usage and needs of the ward, resulting in waste of resources and unstable disinfection quality.
[0004] In view of the above problems, the present application provides an adaptive sterilization control method based on ward needs.
[0005] The present application provides an adaptive sterilization control method based on ward requirements, the method comprising: collecting scheduling information of a target ward, wherein the scheduling information comprises bed occupancy information and bed partition information; constructing a target sterilization standard parameter set and a target sterilization execution parameter space with the bed partition information as a constraint; performing a disinfection demand assessment based on the bed occupancy information to generate multiple bed disinfection requirements; performing control optimization on the multiple bed disinfection requirements with the target sterilization execution parameter space as a constraint to generate multiple sterilization execution parameter sets; transmitting the multiple sterilization execution parameter sets to a control unit of a disinfection device, and using the disinfection device to disinfect and sterilize the target ward according to a procedure.
[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:
[0007] The above-mentioned adaptive sterilization control method based on ward demand collects the scheduling information of the target ward, which records the occupancy of the beds and the partition of the ward in detail. Subsequently, based on the bed partition information, a series of standard parameters and execution parameter ranges for sterilization are set, and these parameters will become the guiding basis for subsequent operations. After that, the disinfection demand is evaluated according to the occupancy of the beds, and the specific disinfection demand for each bed is generated. After clarifying the disinfection demand, the optimization is performed based on the previously set sterilization execution parameter space to find the optimal combination of sterilization execution parameters. These parameter combinations will ensure that while meeting the disinfection demand, efficient use of resources can also be achieved. Then, the multiple sterilization execution parameter sets obtained by the optimization are transmitted to the control unit of the disinfection equipment, and the disinfection equipment is controlled to disinfect and sterilize the target ward according to these parameters. The whole process realizes adaptive adjustment based on the actual use and demand of the ward, thereby optimizing resource utilization and improving disinfection quality and efficiency.
[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS
[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0010] Figure 1 is a flow chart of an adaptive sterilization control method based on ward requirements in one embodiment;
[0011] Figure 2 The figure is a schematic diagram of the process of generating bed occupancy information of an adaptive sterilization control method based on ward requirements in one embodiment. DETAILED DESCRIPTION
[0012] The embodiment of the present application provides an adaptive sterilization control method based on ward needs to solve the technical problem that traditional sterilization control methods cannot be adaptively adjusted according to the actual use and needs of the ward, resulting in waste of resources and unstable disinfection quality.
[0013] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.
[0014] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.
[0015] Embodiment 1
[0016] like Figure 1 As shown, the present application provides an adaptive sterilization control method based on ward needs, the method comprising:
[0017] The scheduling information of the target ward is collected, wherein the scheduling information includes bed occupancy information and bed partition information.
[0018] With the rapid development of the medical industry and the continuous expansion of hospital scale, ward sterilization control technology plays a vital role in protecting patient health and preventing hospital-acquired infections. However, with the increase in the number of wards, the increase in bed utilization, and the increasingly stringent infection control requirements, traditional ward sterilization control methods can no longer meet the needs of modern medical environments for efficiency, accuracy, and safety.
[0019] In the embodiment of the present application, during the sterilization control process of the target ward, the system terminal will first collect the scheduling information of the ward. These scheduling information mainly covers two aspects: one is the occupancy information of the beds, that is, which beds are currently in use and which beds are idle; the other is the partition information of the beds, which involves the division of beds in different areas or for different purposes within the ward. By collecting these scheduling information, it is possible to provide strong data support for subsequent sterilization control and ensure the pertinence and effectiveness of the disinfection work.
[0020] Further, if Figure 2 As shown, the present application provides a method for generating the bed occupancy information, and the method also includes:
[0021] Acquire a ward occupancy feature set; perform feature extraction on the arrangement data of the target ward within the preset sterilization window based on the ward occupancy feature set to generate the bed occupancy information, wherein the bed occupancy information includes a plurality of ward occupancy feature value sets.
[0022] Preferably, during the sterilization control process, the system terminal first obtains a ward occupancy feature set, which contains a series of feature data about the use of the ward. Subsequently, based on this ward occupancy feature set, feature extraction is performed on the arrangement data of the target ward within the preset sterilization window. This process is to identify and extract key feature information by analyzing the preset time period, that is, the use of the ward within the sterilization window. Through feature extraction, the system terminal will generate bed occupancy information, which is a comprehensive data composed of multiple ward occupancy feature value sets. Each feature value set represents the occupancy of the ward in a certain aspect, such as the utilization rate of the bed, idle time, etc. These detailed bed occupancy information will serve as an important basis for subsequent sterilization control, helping the system terminal to more accurately determine when and where disinfection is needed, thereby achieving more accurate and efficient sterilization control.
[0023] Taking the bed partition information as a constraint, a target sterilization standard parameter set and a target sterilization execution parameter are constructed.
[0024] In one embodiment, during the sterilization control process, after obtaining the partition information of the ward, the system terminal uses this partition information as a constraint condition. Based on these constraints, the system terminal searches multiple sample bed area types and multiple sample sterilization execution parameter spaces, and screens out the target sterilization standard parameter set and target sterilization execution parameters that match the bed partition information. The target sterilization standard parameter set is used to guide the standards that should be achieved in the sterilization operation, such as the concentration of the sterilizer, the sterilization time, etc. The target sterilization execution parameters are used to optimize the sterilization execution parameter set, control the operation of the sterilization equipment, and ensure that it can be executed in accordance with the preset standard parameter set in actual operation to achieve the expected sterilization effect.
[0025] Further, the present application provides a method for obtaining a plurality of sample sterilization execution parameter spaces, the method further comprising:
[0026] The historical disinfection and sterilization database is extracted to obtain multiple sample bed area types, multiple sample bed area sterilization parameter sets and multiple sample sterilization execution parameter sets; multiple sterilization standard parameter sets are matched according to the multiple sample bed area types; the multiple sample bed area sterilization parameter sets are identified for deviations using the multiple sterilization standard parameter sets, and the multiple sample sterilization execution parameter sets are aggregated and analyzed based on the identification results to obtain multiple sample sterilization execution parameter spaces.
[0027] Preferably, in the sterilization control process, in order to improve the accuracy and efficiency of the sterilization operation, the system terminal will extract and analyze the historical disinfection and sterilization database. First, multiple sample bed area types, multiple sample bed area sterilization parameter sets and multiple sample sterilization execution parameter sets are obtained from the historical disinfection and sterilization database. Subsequently, according to these sample bed area types, the corresponding multiple sterilization standard parameter sets are matched. These standard parameter sets are formulated based on professional knowledge and historical data, and provide standards and references for sterilization operations for different area types. Afterwards, these sterilization standard parameter sets are used to identify deviations of multiple sample bed area sterilization parameter sets to obtain deviation identification results. This process mainly compares the differences between the sterilization parameters used and the standard parameters, that is, the multiple sample bed area sterilization parameter sets are subtracted from the sterilization standard parameter sets, and the absolute values are taken to calculate multiple sample sterilization parameter deviation sets. Then, based on multiple sample sterilization parameter deviation sets, the system terminal compares the deviations in the set with the preset parameter deviation threshold, and eliminates the deviations that do not meet this threshold. Furthermore, the system terminal matches multiple sample sterilization execution parameter sets to corresponding sample sterilization execution parameter sets based on multiple sample sterilization parameter deviation sets that exclude thresholds that are not met, and obtains multiple sample compliance sterilization execution parameter sets. Subsequently, the system terminal performs aggregate analysis on multiple sample compliance sterilization execution parameter sets to generate multiple sample sterilization execution parameter spaces, which represent reasonable parameter ranges for different area types in sterilization operations. By analyzing and extracting the historical disinfection and sterilization database, it is possible to identify the sterilization standard parameter sets and sample sterilization execution parameter spaces for different bed area types in sterilization operations, providing strong data support and guidance for future sterilization work.
[0028] Furthermore, the present application provides that after obtaining multiple sample sterilization execution parameter spaces, the method also includes:
[0029] According to the multiple sample bed area types and the multiple sample sterilization execution parameter spaces, a bed area type-sterilization execution parameter space mapping relationship is constructed; with the bed partition information as an index, the bed area type-sterilization execution parameter space mapping relationship is retrieved to generate the target sterilization execution parameter space; and the target sterilization standard parameter set is matched according to the bed partition information.
[0030] Optionally, during the sterilization control process, the system terminal constructs a mapping relationship between the bed area type and the sterilization execution parameter space based on the obtained multiple sample bed area types and multiple sample sterilization execution parameter spaces. This means that the system terminal will associate each bed area type with its corresponding reasonable sterilization execution parameter space to form a clear correspondence. Once this mapping relationship is constructed, when a specific sterilization operation is required, the system terminal will quickly retrieve the target sterilization execution parameter space that matches the partition type based on the given bed partition information. At the same time, the system terminal will also match the corresponding target sterilization standard parameter set based on the bed partition information. These standard parameter sets are developed based on professional knowledge and historical data, and provide standards and references for sterilization operations for each area type.
[0031] Furthermore, the present application provides a method for generating multiple sample sterilization execution parameter spaces, and the method further includes:
[0032] The multiple sterilization standard parameter sets calculate deviation values for the multiple sample bed area sterilization parameter sets to generate multiple sample sterilization parameter deviation sets; the sterilization parameter deviations of the samples that do not meet the preset parameter deviation thresholds in the multiple sample sterilization parameter deviation sets are respectively counted and eliminated to generate multiple sample compliant sterilization parameter deviation combinations.
[0033] Optionally, during the sterilization control process, in order to ensure the accuracy and effectiveness of the sterilization operation, the system terminal will calculate the deviation value of the sterilization parameter sets of multiple sample bed areas. This process mainly compares the sterilization parameters of each sample bed area with the corresponding sterilization standard parameter set, calculates the deviation value between them, and generates multiple sample sterilization parameter deviation sets. Subsequently, the deviation values in these sample sterilization parameter deviation sets are counted separately to determine whether they meet the preset parameter deviation threshold. The parameter deviation threshold is a pre-set range used to determine whether the deviation value is too large or too small, so as to determine whether the sterilization parameters are compliant. For sample sterilization parameter deviations that do not meet the preset parameter deviation threshold, the system terminal will remove them, retain only those deviation values that meet the threshold requirements, and generate multiple sample compliant sterilization parameter deviation sets. These compliant deviation sets will serve as the basis for subsequent analysis and optimization of sterilization operations to ensure that the sterilization process can be carried out within a reasonable range and improve the accuracy and efficiency of sterilization.
[0034] Based on the multiple sample compliance sterilization parameter deviation sets, the multiple sample sterilization execution parameter sets are matched to obtain multiple sample compliance sterilization execution parameter sets; parameter aggregation analysis is performed based on the multiple sample compliance sterilization execution parameter sets to generate multiple sample sterilization execution parameter spaces.
[0035] Optionally, based on the obtained multiple sample compliance sterilization parameter deviation sets, the system terminal matches multiple sample sterilization execution parameter sets to obtain multiple sample compliance sterilization execution parameter sets. The purpose of this step is to screen out the sterilization execution parameters that meet the preset parameter deviation threshold to ensure that these parameters are compliant and valid. Subsequently, the system terminal performs parameter aggregation analysis on these screened compliant sterilization execution parameter sets. Parameter aggregation analysis mainly focuses on the distribution of the same parameter in multiple compliance sets, and finds the maximum and minimum values of the same parameter. This is because the maximum and minimum values can reflect the range of parameter changes, thereby providing reference and optimization direction for subsequent sterilization operations. Specifically, for each parameter, the system terminal will find the maximum and minimum values of the parameter from all compliant sterilization execution parameter sets, thereby constructing a parameter space. This parameter space is actually the range of variation of the parameter in the compliance set, which can help the system terminal understand the possible values of the parameter in actual operation, so as to better control and adjust the sterilization operation.
[0036] A disinfection demand assessment is performed based on the bed occupancy information to generate multiple bed disinfection requirements.
[0037] In one embodiment, during the sterilization control process, the system terminal evaluates the disinfection needs of the ward based on the acquired bed occupancy information. This evaluation process is that the system terminal inputs the bed occupancy feature value set in the bed occupancy information into the constructed disinfection demand evaluation network layer. The disinfection demand evaluation network layer evaluates multiple bed occupancy feature value sets based on the learned knowledge and generates multiple bed disinfection needs. These requirements will clearly specify which beds need to be disinfected, the priority of disinfection, and the specific requirements for disinfection. These requirements will serve as an important basis for subsequent sterilization operations to ensure that the sterilization operation can be carried out as required, thereby achieving the expected disinfection effect.
[0038] Further, the present application provides obtaining the disinfection requirements of the plurality of hospital beds, the method further comprising:
[0039] Constructing a disinfection demand assessment network layer; inputting the plurality of bed occupancy feature value sets into the disinfection demand assessment network layer for assessment, and obtaining the disinfection demands of the plurality of beds.
[0040] Optionally, in order to more accurately evaluate the disinfection requirements of the beds, the system terminal constructs a disinfection requirements evaluation network layer. This network layer is constructed based on a neural network algorithm, which can process and analyze the input bed occupancy feature value set and output the corresponding bed disinfection requirements. Specifically, the system terminal collects a large amount of historical sample data, which includes sample bed occupancy feature values and sample bed disinfection requirements. Subsequently, the system terminal divides the obtained historical sample data into a training set and a test set. After that, the structure of the disinfection requirements evaluation network layer is designed, including an input layer, a hidden layer, and an output layer, as well as hyperparameters such as a learning rate and the number of iterations. The design of the hidden layer determines the complexity and learning ability of the disinfection requirements evaluation network layer. Then, the system terminal uses the training set to train the disinfection requirements evaluation network layer, and optimizes the parameters of the disinfection requirements evaluation network layer through a back propagation algorithm. During the training process, the performance of the disinfection requirements evaluation network layer, such as accuracy, recall rate, etc., and the value of the loss function, is monitored. Further, the hyperparameters are adjusted or the structure of the disinfection requirements evaluation network layer is optimized according to the performance evaluation. Subsequently, the trained disinfection needs assessment network layer is evaluated using the test set to verify the generalization ability and accuracy of the disinfection needs assessment network layer. If the performance of the disinfection needs assessment network layer is poor, the system terminal will re-collect data, optimize the model structure, try other algorithms, and so on. After that, the disinfection needs assessment network layer that has completed the test will be output. After the disinfection needs assessment network layer is constructed, the system terminal inputs the occupancy feature value set of multiple beds into the disinfection needs assessment network layer. This network layer will learn and analyze the input feature values to identify the disinfection priority and disinfection requirements of different beds. Through the processing of the disinfection needs assessment network layer, the system terminal can obtain the disinfection requirements of multiple beds, providing important guidance for subsequent sterilization operations.
[0041] Furthermore, the present application provides for optimizing the multiple initial sterilization execution parameter sets, and the method further includes:
[0042] Construct a parameter matching network layer; use the parameter matching network layer to identify the disinfection requirements of the multiple beds and generate multiple initial sterilization execution parameter sets; determine whether the multiple initial sterilization execution parameter sets meet the target sterilization execution parameter space, and if not, obtain optimization instructions to optimize the multiple initial sterilization execution parameter sets.
[0043] Optionally, the system terminal uses the same method as the aforementioned construction of the disinfection demand assessment network layer to construct a parameter matching network layer using a large amount of historical data. Once the parameter matching network layer is constructed, the system terminal inputs multiple bed disinfection demand data into this parameter matching network layer. The parameter matching network layer will learn and analyze according to the input parameters and generate a set of initial sterilization execution parameter sets. These parameter sets include the concentration of the disinfectant, the disinfection time, etc. Subsequently, the system terminal determines whether these initial sterilization execution parameter sets meet the target sterilization execution parameter space by comparing whether the parameters in the initial sterilization execution parameter set meet the constraint range of the target sterilization execution parameter space. If the initial parameter set does not meet the target space, the system terminal needs to optimize these initial sterilization execution parameter sets. At this time, optimization instructions will be generated. These instructions will guide the system terminal on how to adjust the parameters so that they meet the target space. The optimized parameter set will again determine whether it meets the target space. If it still does not meet, the system terminal repeats the above steps until it meets.
[0044] Furthermore, the present application provides a method for generating a sterilization execution parameter set, the method also includes:
[0045] The multiple initial sterilization execution parameter sets are adjusted according to a preset step size to obtain multiple adjusted sterilization execution parameter sets; it is determined whether the multiple adjusted sterilization execution parameter sets meet the target sterilization execution parameter space, and if so, the multiple adjusted sterilization execution parameter sets are used as multiple sterilization execution parameter sets.
[0046] Optionally, after multiple initial sterilization execution parameter sets are generated, in order to find the best parameters that meet the target sterilization execution parameter space, the system terminal adjusts these initial parameters according to a preset step size, and evaluates whether the adjusted parameters meet the preset target range. Specifically, the system terminal first adjusts the initial sterilization execution parameter set according to the preset step size. This step size is pre-set, which determines the size and direction of the parameter adjustment. Through the adjustment, the system terminal will generate multiple different adjusted sterilization execution parameter sets. Subsequently, the system terminal evaluates whether these adjusted parameter sets meet the target sterilization execution parameter space. This evaluation is the same as the aforementioned evaluation of the initial sterilization execution parameter set. If these adjusted sterilization execution parameter sets meet the requirements of the target sterilization execution parameter space, then these parameter sets will be judged by the system terminal as the final sterilization execution parameter sets. These parameter sets will be used to guide the actual sterilization operation to ensure that the beds can be effectively disinfected and meet medical specifications and safety standards.
[0047] The plurality of sterilization execution parameter sets are transmitted to a control unit of a disinfection device, and the disinfection device is used to disinfect and sterilize the target ward according to a procedure.
[0048] In one embodiment, when the system terminal determines multiple sterilization execution parameter sets that meet the target sterilization execution parameter space, these parameter sets will be transmitted to the control unit of the disinfection equipment. The control unit is the core part of the disinfection equipment, responsible for receiving and executing instructions from the system. After receiving the sterilization execution parameter set, the control unit of the disinfection equipment will set the working state of the equipment according to these parameters, for example, adjust the concentration of the disinfectant, set the disinfection time, etc. Subsequently, the disinfection equipment starts to disinfect and sterilize the target ward. During this process, the disinfection equipment will ensure that it works according to the parameter set provided by the system terminal to ensure that the disinfection effect meets medical specifications and safety standards. In this way, it can ensure that the ward is fully and effectively disinfected, reduce the risk of infection, and provide patients with a safe and hygienic treatment environment.
[0049] In summary, the embodiments of the present application have at least the following technical effects:
[0050] The embodiment of the present application collects the scheduling information of the target ward, including the occupancy and partition information of the beds. Based on this information, the disinfection requirements of each bed are evaluated, and multiple bed disinfection requirements are generated. Subsequently, the target sterilization standard parameter set and the target sterilization execution parameter space are constructed using the ward partition information. These parameter sets and spaces are determined based on historical data and preset standards to ensure that the disinfection operation meets the specifications and standards. After that, data is extracted from the historical disinfection and sterilization database, and aggregation analysis is performed through the matching and deviation identification of the sample bed area type and the sterilization parameter, thereby generating multiple sample sterilization execution parameter spaces. Then, based on the historical data and the sample sterilization execution parameter space, a mapping relationship between the bed area type and the sterilization execution parameter space is constructed. When the ward partition information is input, the corresponding target sterilization execution parameter space can be quickly retrieved and the target sterilization standard parameter set can be matched. Finally, by constructing a parameter matching network layer, the bed disinfection requirements are identified and an initial sterilization execution parameter set is generated. If the initial parameters do not meet the requirements of the target sterilization execution parameter space, they will be adjusted according to the preset step size until a sterilization execution parameter set that meets the conditions is found. These sterilization execution parameter sets that meet the conditions will be transmitted to the control unit of the disinfection equipment, instructing the disinfection equipment to disinfect and sterilize the target ward according to the program. These technical effects jointly solve the technical problems that traditional sterilization control methods cannot be adaptively adjusted according to the actual use and needs of the ward, resulting in waste of resources and unstable disinfection quality, and realize demand-based refined and adaptive control, thereby optimizing resource utilization and improving disinfection quality and efficiency.
[0051] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0052] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.
[0053] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.
Claims
1. An adaptive sterilization control method based on ward needs, characterized in that: The method comprises: Collecting the scheduling information of the target ward, wherein the scheduling information includes bed occupancy information and bed partition information; Taking the bed partition information as a constraint, constructing a target sterilization standard parameter set and a target sterilization execution parameter space; Performing disinfection demand assessment based on the bed occupancy information to generate multiple bed disinfection requirements; Taking the target sterilization execution parameter space as a constraint, controlling and optimizing the disinfection requirements of the multiple beds to generate multiple sterilization execution parameter sets; Transmitting the plurality of sterilization execution parameter sets to a control unit of a disinfection device, and using the disinfection device to disinfect and sterilize the target ward according to a procedure; The method comprises: Get the ward occupancy feature set; Extracting features of the arrangement data of the target ward within the preset sterilization window based on the ward occupancy feature set to generate the bed occupancy information, wherein the bed occupancy information includes a plurality of ward occupancy feature value sets; The method comprises: Extracting a historical disinfection and sterilization database to obtain multiple sample bed area types, multiple sample bed area sterilization parameter sets, and multiple sample sterilization execution parameter sets; Match multiple sterilization standard parameter sets according to multiple sample bed area types; Using the multiple sterilization standard parameter sets, the multiple sample bed area sterilization parameter sets are identified for deviations, and according to the identification results, the multiple sample sterilization execution parameter sets are aggregated and analyzed to obtain multiple sample sterilization execution parameter spaces; After obtaining multiple sample sterilization execution parameter spaces, the method further includes: Constructing a bed area type-sterilization execution parameter space mapping relationship according to the multiple sample bed area types and the multiple sample sterilization execution parameter spaces; Using the bed partition information as an index, searching the bed area type-sterilization execution parameter space mapping relationship to generate the target sterilization execution parameter space; matching the target sterilization standard parameter set according to the bed partition information; The method further comprises: The multiple sterilization standard parameter sets calculate deviation values for the multiple sample bed area sterilization parameter sets to generate multiple sample sterilization parameter deviation sets; The sterilization parameter deviations of the samples that do not meet the preset parameter deviation threshold in the sterilization parameter deviation sets of the multiple samples are counted respectively and eliminated to generate a combination of compliant sterilization parameter deviations of the multiple samples; Based on the multiple sample compliance sterilization parameter deviation sets, the multiple sample sterilization execution parameter sets are matched to obtain multiple sample compliance sterilization execution parameter sets; Parameter aggregation analysis is performed based on the multiple sample compliance sterilization execution parameter sets to generate multiple sample sterilization execution parameter spaces.
2. The method according to claim 1, characterized in that The method comprises: Build a disinfection needs assessment network layer; The plurality of bed occupancy feature value sets are input into the disinfection requirement evaluation network layer for evaluation to obtain the disinfection requirements of the plurality of beds.
3. The method according to claim 1, characterized in that The method comprises: Construct parameter matching network layer; Using the parameter matching network layer to identify the disinfection requirements of the multiple beds, and generate multiple initial sterilization execution parameter sets; It is determined whether the multiple initial sterilization execution parameter sets meet the target sterilization execution parameter space. If not, an optimization instruction is obtained to optimize the multiple initial sterilization execution parameter sets.
4. The method according to claim 3, characterized in that The method comprises: Adjusting the multiple initial sterilization execution parameter sets according to a preset step length to obtain multiple adjusted sterilization execution parameter sets; It is determined whether the multiple adjusted sterilization execution parameter sets meet the target sterilization execution parameter space. If so, the multiple adjusted sterilization execution parameter sets are used as multiple sterilization execution parameter sets.