CN118691164A - A regional consumption and supply digital public service platform - Google Patents

Abstract

The invention discloses a regional supply-eliminating digital public service platform, which relates to the technical field of Internet of things, and comprises the following components: the disinfection and control module is used for disinfecting the cleaning instrument partition based on an embedded instrument disinfection and optimization algorithm and an instrument disinfection and authentication channel, combining an instrument disinfection system and carrying out disinfection treatment on the cleaning instrument partition, and the storage and distribution module is used for storing and distributing the disinfection instrument partition based on the instrument RFID tag. The technical problems of poor disinfection quality of the instruments caused by low total-process disinfection management and control accuracy of the instruments in the prior art are solved, and the technical effects of improving the total-process disinfection management and control accuracy of the instruments and improving the disinfection quality of the instruments are achieved.

Description

A regional consumption and supply digital public service platform

Technical Field

The present application relates to fields related to Internet of Things technology, and in particular to a regional power supply digital public service platform.

Background Art

In the scenario of regional disinfection and supply management, facing the need to handle a large number of disinfection and supply equipment, how to improve the accuracy and quality of disinfection has become the core issue of improving the level of regional disinfection and supply management. Traditional regional disinfection and supply management usually relies on manual operation, lacks comprehensive and accurate identification of disinfection and supply equipment, lacks standardized and unified standards and advanced and effective technical means, and is difficult to ensure the high quality and stability of cleaning and disinfection. The management is chaotic and difficult to track accurately. It is difficult to accurately assess the actual situation and potential risks of each link, and cannot flexibly adapt to the ever-changing actual needs of disinfection and supply management.

In the current relevant technologies, in the scenario of regional fire protection and supply management, there is a lack of full-process disinfection control over fire protection and supply equipment, which makes it difficult to ensure the quality of cleaning and disinfection of fire protection and supply equipment, and it is impossible to accurately manage and effectively track fire protection and supply equipment in the storage and distribution links, resulting in technical problems such as low accuracy of full-process disinfection control of equipment and poor disinfection quality.

Summary of the invention

The present application provides a regional digital public service platform for firefighting and supply, and realizes efficient and accurate reception and identification, scientific classification and coding of firefighting and supply equipment through a firefighting and supply equipment receiving module and an equipment feature processing module. It ensures that the cleaning and disinfection process of firefighting and supply equipment is standardized and efficient through a cleaning control module and a disinfection control module. It realizes accurate management and effective tracking of firefighting and supply equipment in the storage and distribution links through a storage and distribution module, thereby achieving the technical effect of improving the accuracy of the whole process disinfection control of equipment and improving the disinfection quality of equipment.

This application provides a regional consumption and supply digital public service platform, including:

A disinfection and supply equipment receiving module, the disinfection and supply equipment receiving module is used to receive multiple task equipment from the disinfection and supply center, and the multiple task equipment has corresponding multiple equipment RFID tags; an equipment feature processing module, the equipment feature processing module is used to classify and encode the multiple task equipment according to the multiple equipment RFID tags, and obtain the first equipment partition, the second equipment partition...the Kth equipment partition, where K is a positive integer; a cleaning control module, the cleaning control module is based on the embedded multivariate cleaning digital processing channel, combined with the equipment cleaning system of the disinfection and supply center to clean the first equipment partition, the second equipment partition...the Kth equipment partition Processing to obtain the first cleaning instrument partition, the second cleaning instrument partition...the Kth cleaning instrument partition; a disinfection management and control module, which disinfects the first cleaning instrument partition, the second cleaning instrument partition...the Kth cleaning instrument partition based on the embedded instrument disinfection tuning algorithm and the instrument disinfection authentication channel, in combination with the instrument disinfection system of the disinfection supply center, to obtain the first disinfection instrument partition, the second disinfection instrument partition...the Kth disinfection instrument partition; a storage and distribution module, which is used to store and distribute the first disinfection instrument partition, the second disinfection instrument partition...the Kth disinfection instrument partition based on the multiple instrument RFID tags.

The proposed regional disinfection and supply digital public service platform is intended to be used through this application. The disinfection and supply equipment receiving module is used to receive multiple task equipment from the disinfection supply center. The equipment feature processing module classifies and encodes multiple task equipment according to multiple equipment RFID tags. The cleaning control module is based on the embedded multi-element cleaning digital processing channel, combined with the equipment cleaning system of the disinfection supply center to clean the equipment partitions. The disinfection control module is based on the embedded equipment disinfection tuning algorithm and equipment disinfection certification channel, combined with the equipment disinfection system of the disinfection supply center to disinfect the cleaning equipment partitions. The storage and distribution module is used to store and distribute the disinfection equipment partitions based on multiple equipment RFID tags. The technical effect of improving the accuracy of the full-process disinfection control of the equipment and improving the disinfection quality of the equipment is achieved.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention are briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the platform according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

FIG1 is a schematic diagram of the structure of a regional power supply digital public service platform provided in an embodiment of the present application.

Figure 2 is a schematic diagram of the structure of a disinfection management and control module of a regional fire prevention and control digital public service platform provided in an embodiment of the present application.

Explanation of the reference numerals: disinfection equipment receiving module 10, equipment feature processing module 20, cleaning control module 30, disinfection control module 40, storage and distribution module 50.

DETAILED DESCRIPTION

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.

In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

The embodiment of the present application provides a regional consumption and supply digital public service platform, as shown in FIG1 , the platform includes:

The disinfection supply equipment receiving module 10 is used to receive multiple task equipment from the disinfection supply center, and the multiple task equipment has corresponding multiple equipment RFID tags. Specifically, the disinfection supply equipment receiving module 10 receives multiple task equipment from the disinfection supply center, and the multiple task equipment are all equipped with corresponding multiple equipment RFID tags. These equipment RFID tags are used to uniquely identify each task equipment, and contain relevant information such as the identity of the task equipment. The task equipment with specific RFID tags is received through this module, and the relevant information of the task equipment, such as the receiving time, is recorded during the receiving process. And the received task equipment information is passed to the subsequent equipment feature processing module, etc.

The instrument feature processing module 20 is used to classify and encode the multiple task instruments according to the multiple instrument RFID tags to obtain the first instrument partition, the second instrument partition...the Kth instrument partition, where K is a positive integer. Specifically, the instrument feature processing module 20 conducts an in-depth analysis of the multiple instrument RFID tags of the multiple task instruments, interprets the specific feature information of each task instrument, such as key elements such as type, specification, and purpose, and accurately distinguishes the different attributes of each task instrument with the help of data processing and recognition technology, and analyzes the relationship and differences between them. Based on the analysis results of the instrument feature information, the classification and coding information is clarified. The classification and coding information covers the instrument partition category, partition boundary, partition order, and specific processing methods that may be required (such as special identification for certain instruments, etc.), so as to guide the subsequent processing operations of the task instruments. The features of the acquired classification and coding information are extracted and classified. The features refer to important factors that affect the classification and coding of task equipment, such as the main purpose of the equipment, key specifications, etc. Through a specific classification algorithm, task equipment with similar features are classified into one category. According to the classification results and the specific characteristics of the equipment, the corresponding equipment feature processing category is configured. Each equipment feature processing category represents a group of classification and coding operations with the same or similar features, which follow the same classification principles and coding rules.

The cleaning control module 30, based on the embedded multi-element cleaning digital processing channel, combines the instrument cleaning system of the disinfection supply center to clean the first instrument partition, the second instrument partition...the Kth instrument partition, and obtains the first cleaning instrument partition, the second cleaning instrument partition...the Kth cleaning instrument partition. Specifically, the cleaning control module 30 obtains the relevant information of the first instrument partition, the second instrument partition...the Kth instrument partition from the instrument feature processing module 20, and determines a parameter range of a cleaning standard based on actual needs or past experience. The parameter range of the cleaning standard is used to clarify the degree and method of cleaning, etc. The cleaning control module 30 processes the acquired partition information, compares the specific situation of each instrument partition with the set cleaning standard parameter range one by one, and when the characteristics of a certain instrument partition are greatly different from the set cleaning standard parameter range, it is determined as a situation that requires special cleaning treatment, that is, the situation that requires special cleaning treatment is the situation where there is a non-conformity or large difference between the instrument partition and the cleaning standard parameter range.

In a possible implementation, the cleaning control module 30 includes:

The multi-element cleaning digital processing channel includes a unit, and the multi-element cleaning digital processing channel includes a unit for the multi-element cleaning digital processing channel, including an instrument dirt detection channel, an instrument cleaning control analysis channel, and an instrument cleaning verification channel. Specifically, the multi-element cleaning digital processing channel includes a unit to clarify the multi-element cleaning digital processing channel (information such as the specific type and content involved in the channel), covering the instrument dirt detection channel, the instrument cleaning control analysis channel, and the instrument cleaning verification channel. Among them, the instrument dirt detection channel is used to detect the dirtiness of the instrument (including the type and degree of dirt), obtain key data such as the specific form and distribution range of the dirt, and analyze the specific characteristics of the dirt based on these dirt detection information, such as the degree of concentration and complexity, and define the degree of dirtiness of the instrument based on the analysis results of the dirtiness characteristics; the instrument cleaning control analysis channel is used to plan and analyze the cleaning process (involving the setting of cleaning methods, intensity, etc.), including key factors such as the selection of cleaning methods, types and dosages of cleaning agents, and analyze the feasibility and effectiveness of various cleaning solutions according to the needs of cleaning control, such as the applicability and efficiency of different cleaning methods, and determine specific cleaning strategies based on the results of cleaning control analysis; the instrument cleaning verification channel is used to verify and evaluate the cleaning effect (check whether the expected cleaning standards are met), covering various indicators, standards and other information of cleaning quality, and analyzing the actual status of the instrument after cleaning according to the requirements of cleaning quality, such as whether there is residual dirt, the uniformity of cleaning, etc., and judging whether the cleaning work is qualified based on the cleaning verification results.

The basic characteristic information loading unit of the device is used to load the basic characteristic information of each device corresponding to the first device partition. Specifically, the basic characteristic information loading unit of the device analyzes the basic characteristic information (information related to various basic characteristics of the first device partition) of the first device partition, extracts various specific basic characteristic information of the device, such as shape, size, weight, etc., and classifies and divides each device in the first device partition according to its characteristics based on the basic characteristic information, so that the devices in each category have similar or identical basic characteristic information.

The device dirtiness detection result acquisition unit is used to perform dirtiness detection on the first device partition based on the device dirtiness detection channel to obtain the dirtiness detection results of each device. Specifically, the device dirtiness detection result acquisition unit performs dirtiness detection on the first device partition through the device dirtiness detection channel (describing the relevant operations and information for detecting the dirtiness of the device surface), covering the specific manifestations of various dirtiness, such as the type of dirt, degree of adhesion and other key aspects, and analyzes the specific characteristics of the device dirtiness, such as the distribution range and concentration of the dirtiness, etc., according to the situation of the dirtiness detection, and obtains the dirtiness detection results of each device based on the analysis results of the device dirtiness characteristics, and groups the devices with similar or identical dirtiness detection results together.

The device cleaning control scheme generation unit is used to generate the cleaning control scheme for each device based on the dirt detection results of each device and the basic feature information of each device according to the device cleaning control parsing channel. Specifically, the device cleaning control scheme generation unit obtains the dirt detection results of each device and the basic feature information of each device, including the type of dirt (dust, oil, rust, etc.), the degree of dirt (mild, moderate, severe, etc.) and the shape of the device (regular geometric body or special shape), material (metal, plastic, rubber, etc.) and its hardness, toughness and other properties, and uses a neural network model to process complex data. There are multiple nodes and connections in the neural network model. The input layer receives the data vector of the dirt detection results of each device and the basic feature information of each device. Through the calculation of the weight and activation function inside the model, complex information processing and feature extraction are performed in the hidden layer, and finally the relevant parameters of the cleaning control scheme of each device are generated in the output layer, such as the selection of detergent, the value of cleaning intensity, the length of cleaning time, etc., which can be based on the potential relationship between different dirt types and degrees and cleaning methods, intensity, etc., as well as the adaptability of device features and cleaning strategies. For example, for dirt such as oil, the model may calculate the need for specific cleaning agents and stronger cleaning force based on the input information; for instruments with specific shapes and materials, the model will calculate suitable cleaning tools and operating methods, and further adjust and optimize the preliminary plan generated by the neural network model according to the rules, processes and standards provided by the instrument cleaning control analysis channel. Ensure that the plan meets professional requirements and the feasibility of actual operation, and generate detailed and accurate cleaning control plans for each instrument. The plan clearly stipulates the specific cleaning steps for each instrument, including the selection of cleaning tools, the order of cleaning actions, the proportion of cleaning agents, the dosage used, the cleaning time and intensity, etc., to efficiently achieve accurate cleaning of each instrument and ensure that the instrument can be restored to an ideal state after cleaning.

The first cleaning equipment area acquisition unit is used to clean the first cleaning equipment area according to the equipment cleaning system based on the cleaning control schemes of each equipment to obtain the first cleaning equipment area. Specifically, the first cleaning equipment area acquisition unit constructs a specific first cleaning equipment area acquisition operation process according to the actual conditions of each equipment cleaning control scheme and the equipment cleaning system, and through this process, a detailed analysis is carried out on the first cleaning equipment area to obtain key features closely related to the cleaning operation of the first cleaning equipment area. The key features are elements that play an important role in the cleaning process of the first cleaning equipment area, covering cleaning tool features and cleaning operation features, wherein the cleaning tool features are features that reflect the performance and scope of application of the cleaning tool, such as tool type, specification, material, etc.; the cleaning operation features are features that describe the cleaning process and results, such as cleaning intensity, frequency, sequence, etc.

The first cleaning verification operator acquisition unit is used to perform cleaning verification on the first cleaning instrument area according to the instrument cleaning verification channel to obtain the first cleaning verification operator. Specifically, the first cleaning verification operator acquisition unit refers to the various standards and rules set in the instrument cleaning verification channel. The standards and rules include specific indicators of the degree of cleanliness, the allowable range of impurity residues, etc. When performing cleaning verification on the first cleaning instrument area, relevant data is collected through a series of detection and evaluation methods. For example, sensors may be used to detect the cleanliness of the instrument surface, chemical composition analysis may be used to determine the impurity residue, etc., and the index requirements for the degree of cleanliness are set, and the actual residue is obtained through detection. If the actual residue is less than or equal to the index requirements for the set degree of cleanliness, then the cleaning verification is passed; if the actual residue is greater than the index requirements for the set degree of cleanliness, then the cleaning verification is not passed, and a specific result, namely the first cleaning verification operator, is obtained by comparison and calculation based on the collected data and the set standards.

The first cleaning equipment partition acquisition unit is used to dry the first cleaning equipment area according to the equipment cleaning system when the first cleaning verification operator is qualified for cleaning verification, so as to obtain the first cleaning equipment partition. Specifically, the first cleaning equipment partition acquisition unit is based on the various functions and parameters of the equipment cleaning system, which cover drying methods, drying degree requirements, etc. When performing drying operations on the first cleaning equipment area, a series of technical means and equipment are used to implement the relevant processes. For example, a hot air blower may be used to promote water evaporation, a humidity sensor may be used to monitor humidity changes, etc., to set specific requirements for the degree of drying, and the actual humidity conditions may be obtained through monitoring. If the actual humidity is less than or equal to the set degree of drying requirement, the drying operation is completed and the first cleaning equipment partition is successfully obtained; if the actual humidity is greater than the set degree of drying requirement, the drying operation is not completed, and a clear result is obtained based on the collected data and the set standards, that is, whether the first cleaning equipment partition is successfully obtained. This partition uses a specific state or mark to show whether the drying condition of the first cleaning equipment area meets the requirements.

A cleaning processing unit, the cleaning processing unit is used to continue to clean the second instrument partition ... the Kth instrument partition according to the multi-element cleaning digital processing channel and the instrument cleaning system, and obtain the second cleaning instrument partition ... the Kth cleaning instrument partition. Specifically, the cleaning processing unit is based on the various cleaning parameters and processes set by the multi-element cleaning digital processing channel, the parameters include the type and concentration of the cleaning liquid, the cleaning time, the cleaning temperature, etc., combined with the specific cleaning equipment and technology in the instrument cleaning system, such as a high-pressure water gun, an ultrasonic cleaning device, etc., when cleaning the second instrument partition, the cleaning liquid concentration, the required cleaning time, and the cleaning temperature are set, and the cleaning operation is performed according to the set parameters through the relevant equipment in the instrument cleaning system. After the set time, the second instrument partition completes the cleaning and becomes the second cleaning instrument partition. Similarly, according to the parameter requirements of the multi-element cleaning digital processing channel, combined with the instrument cleaning system, targeted cleaning is performed, and according to the characteristics of the instrument in the partition and the stain situation, the specific cleaning parameters are adjusted, such as increasing the cleaning time or increasing the cleaning liquid concentration, etc., and each instrument partition is finely cleaned to ensure that the instruments in each partition can be effectively cleaned. This implementation method scientifically and rationally divides the cleaning plans for each instrument based on similar or identical cleaning requirements and characteristics, making the entire instrument cleaning process highly targeted, accurate and effective, ensuring that the instrument can be restored to its ideal state after cleaning, thereby achieving the technical effect of providing solid and reliable guidance and planning for instrument cleaning work.

In a possible implementation, the device dirtiness detection result acquisition unit includes:

The instrument dirt detection channel subunit is used in the instrument dirt detection channel, including an instrument image acquisition device, an enhanced processing model and an instrument dirt detection model. Specifically, the instrument dirt detection channel subunit integrates an instrument image acquisition device, an enhanced processing model and an instrument dirt detection model, wherein the instrument image acquisition device serves as a data input terminal, and obtains a clear image of the instrument through specific technical means, providing basic materials for subsequent analysis, and the enhanced processing model performs a series of processing operations on the collected instrument image, including but not limited to improving the image quality, enhancing the image features, etc., so that the details of the instrument can be more prominent, providing more targeted and accurate data for the dirt detection model, and the instrument dirt detection model is the core key of the entire subunit, which uses advanced algorithms and model structures to conduct in-depth analysis and judgment of the instrument image after enhanced processing, and can accurately identify the dirt on the instrument, including key information such as the type, degree, and location of the dirt.

The image acquisition subunits of each device in the first device partition are used to obtain the images of each device in the first device partition according to the device image acquisition device. Specifically, the device dirt detection channel subunit is based on the various elements and operation modes covered by the device dirt detection channel, including the type and performance of the device image acquisition device, the algorithm and parameters of the enhanced processing model, the function setting of the device dirt detection model, etc., combined with specific image acquisition and analysis technologies, such as high-definition camera technology, intelligent image processing algorithm, etc., when performing dirt detection on the device, the frequency of image acquisition, the specific method of enhanced processing, and the analysis standard of the detection model are set, and the relevant technical means in the device dirt detection channel are used to operate according to the set requirements. After a specific process, the detection and analysis of the device dirt is completed, and the corresponding detection results are obtained. Similarly, according to the specific requirements of the device dirt detection channel, combined with relevant technologies, targeted detection and processing are carried out, and according to the type and dirtiness of the device, specific detection parameters are adjusted, such as changing the image acquisition angle or optimizing the parameters of the detection model, etc., to accurately detect the dirtiness of each device, ensuring that the dirtiness of each device can be accurately identified and evaluated.

The device enhanced image generation subunit is used to enhance the device images according to the enhanced processing model to generate enhanced images of each device. Specifically, the device enhanced image generation subunit is based on the various processing rules and requirements set by the enhanced processing model, the rules include specific image processing algorithms, parameter adjustment ranges, etc., combined with specific processing techniques and tools in the image generation system, such as image enhancement algorithms, color adjustment modules, etc., when enhancing the device images, specific algorithm application methods, parameter adjustment values, etc. are set, and the enhanced processing operation is performed according to the set requirements through the relevant techniques and tools in the image generation system. After a specific processing flow, each device image completes the enhanced processing and generates each device enhanced image. Similarly, according to the rules and requirements of the enhanced processing model, combined with the image generation system, targeted enhanced processing is performed, and according to the specific characteristics and requirements of each device image, specific processing parameters are adjusted, such as changing the weight of the algorithm or adjusting the specific value of the parameter, etc., to perform refined enhanced processing on each device image, ensuring that each device image can obtain an ideal enhanced effect.

The instrument dirt detection result output subunit is used to input the enhanced images of each instrument into the instrument dirt detection model and output the dirt detection results of each instrument. Specifically, the instrument dirt detection result output subunit is based on various detection rules and standards set by the instrument dirt detection model, the rules include specific detection algorithms, evaluation indicators, etc., combined with specific detection technologies and means in the instrument dirt detection system, such as advanced image analysis technology, data processing module, etc., when detecting each instrument enhanced image, the specific detection algorithm application method, relevant evaluation indicator values, etc. are set, and the detection operation is performed according to the set requirements through the relevant technologies and means in the instrument dirt detection system. After a specific detection process, the instrument dirt detection results are output to become the instrument dirt detection result data. Similarly, according to the rules and standards of the instrument dirt detection model, combined with the instrument dirt detection system, targeted detection processing is performed, and according to the specific characteristics and dirtiness of each instrument enhanced image, specific detection parameters are adjusted, such as changing the weight of the algorithm or adjusting the value of the evaluation indicator, etc., to accurately detect and process each instrument enhanced image, ensuring that each instrument enhanced image can obtain accurate dirt detection results. This implementation method achieves the technical effect of ensuring the normal use and performance optimization of the instrument through efficient and accurate detection of the dirtiness of the instrument in the first instrument partition.

In a possible implementation, the first cleaning validation operator acquisition unit includes:

The instrument cleaning verification channel subunit is used in the instrument cleaning verification channel and includes an instrument cleaning evaluation model and an instrument cleaning verifier. Specifically, the instrument cleaning verification channel subunit plays a key verification role. The instrument cleaning evaluation model can scientifically evaluate the cleanliness of the instrument. When evaluating an instrument image, the model needs to perform feature extraction, data analysis and other operations. The instrument cleaning verifier uses physical detection methods, such as detecting the surface finish of the instrument, the residue content and other indicators. When it is necessary to perform cleaning verification on the instrument, the relevant instrument is first evaluated and analyzed through the instrument cleaning evaluation model to generate an evaluation result. Then, the instrument cleaning verifier verifies the specific indicators of the same instrument. Through the collaborative work of the instrument cleaning evaluation model and the instrument cleaning verifier, an accurate and reliable instrument cleaning verification result is finally obtained, thereby ensuring that the cleaning status of the instrument meets the requirements and ensuring the safety and effectiveness of subsequent use.

The cleaning equipment image data acquisition subunit is used to obtain multiple cleaning equipment image data corresponding to the first cleaning equipment area. Specifically, the cleaning equipment image data acquisition subunit uses a high-definition camera or a professional image sensor to comprehensively photograph the first cleaning equipment area. The equipment has high resolution and good image capture capabilities, and can accurately obtain clear images of each cleaning equipment in the area. During the acquisition process, the subunit will process and store the acquired images in real time to ensure the integrity and accuracy of the image data, and use image compression technology to reduce the amount of data for subsequent transmission and processing. The acquisition of multiple cleaning equipment image data corresponding to the first cleaning equipment area provides important basic information for the subsequent analysis, evaluation and management of the cleaning equipment. For example, if these images need to be analyzed to determine the degree of cleaning, then specific analysis work can be carried out based on these acquired image data. Through efficient image acquisition and processing processes, accurate acquisition of cleaning equipment image data in the first cleaning equipment area is achieved, providing a strong guarantee for the smooth development of related work.

The instrument cleaning assessment coefficient acquisition subunit is used to input the multiple cleaning instrument image data into the instrument cleaning assessment model to obtain multiple instrument cleaning assessment coefficients. Specifically, the instrument cleaning assessment coefficient acquisition subunit acquires multiple cleaning instrument image data, and the image data is obtained from the first cleaning instrument area by a specific image acquisition method. These cleaning instrument image data are input into the instrument cleaning assessment model one by one. The data includes the input and processing time of the image data. The instrument cleaning assessment model analyzes and evaluates each image data, including feature extraction, pattern recognition, comparative analysis, etc. After evaluation, the model outputs the corresponding instrument cleaning assessment coefficient. The coefficient reflects the cleanliness or status of each cleaning instrument. Through the operation of the instrument cleaning assessment coefficient acquisition subunit, multiple instrument cleaning assessment coefficients are successfully obtained, which can be further used for subsequent decision-making, monitoring or adjustment of instrument cleaning work. For example, if the assessment coefficient is lower than a certain threshold, it needs to be re-cleaned, then these coefficients can be used to determine which instruments need further processing.

The first cleaning verification operator output subunit is used to input the multiple instrument cleaning assessment coefficients into the instrument cleaning verifier and output the first cleaning verification operator. The instrument cleaning verifier includes a preset instrument cleaning assessment coefficient. Specifically, the first cleaning verification operator output subunit obtains multiple instrument cleaning assessment coefficients, which are obtained from the instrument cleaning assessment model by the previous instrument cleaning assessment coefficient acquisition subunit, and these instrument cleaning assessment coefficients are input into the instrument cleaning verifier one by one. The instrument cleaning verifier contains a preset instrument cleaning assessment coefficient, which compares and analyzes the input instrument cleaning assessment coefficient with it. After processing, the instrument cleaning verifier outputs the first cleaning verification operator, for example, the preset instrument cleaning assessment coefficient. When a certain instrument cleaning assessment coefficient input is greater than or equal to the preset instrument cleaning assessment coefficient, the operator that passes the verification is output. If it is less than the preset instrument cleaning assessment coefficient, the operator that fails the verification is output. Through the precise operation of the first cleaning verification operator output subunit, the verification operation based on the instrument cleaning assessment coefficient and the preset instrument cleaning assessment coefficient is realized, which provides a key basis for the subsequent judgment of the rationality of the instrument cleaning condition.

The cleaning validation qualified subunit is used to obtain the first cleaning validation operator as qualified for cleaning validation if the multiple equipment cleaning assessment coefficients are all greater than/equal to the preset equipment cleaning assessment coefficient. Specifically, the cleaning validation qualified subunit obtains multiple equipment cleaning assessment coefficients, compares the multiple equipment cleaning assessment coefficients with the preset equipment cleaning assessment coefficients one by one, and if all equipment cleaning assessment coefficients are greater than or equal to the preset equipment cleaning assessment coefficient, then the qualified cleaning validation conditions are met, and the preset equipment cleaning assessment coefficient is set, and each coefficient is accurately compared and judged until all coefficients meet the greater than or equal to conditions, and the first cleaning validation operator is concluded to be qualified for cleaning validation, completing the accurate verification and qualified judgment of the cleanliness of the equipment in the first cleaning equipment area.

A cleaning validation failure subunit, wherein the cleaning validation failure subunit is used to obtain the first cleaning validation operator as a cleaning validation failure if any one of the multiple equipment cleaning assessment coefficients is less than the preset equipment cleaning assessment coefficient. Specifically, the cleaning validation failure subunit compares the multiple equipment cleaning assessment coefficients with the preset equipment cleaning assessment coefficients one by one. Once it is found that any one of the equipment cleaning assessment coefficients is less than the preset equipment cleaning assessment coefficient, it will trigger the determination of cleaning validation failure. Once it is determined that the cleaning validation is unqualified, the cleaning validation failure subunit will output the corresponding first cleaning validation operator as a cleaning validation failure. This implementation method provides clear instructions by performing cleaning, etc., and achieves the technical effect of ensuring that the cleanliness of the equipment meets the required standards.

The disinfection control module 40 disinfects the first cleaning instrument partition, the second cleaning instrument partition ... the Kth cleaning instrument partition based on the embedded instrument disinfection tuning algorithm and the instrument disinfection authentication channel in combination with the instrument disinfection system of the disinfection supply center to obtain the first disinfection instrument partition, the second disinfection instrument partition ... the Kth disinfection instrument partition.

Specifically, the disinfection management and control module 40, based on the embedded instrument disinfection tuning algorithm and the instrument disinfection authentication channel, clearly defines the targeted disinfection processing partitions, takes the first cleaning instrument partition, the second cleaning instrument partition ... the Kth cleaning instrument partition, etc. as targets, performs relevant operations in the instrument disinfection system of the disinfection supply center, extracts the disinfection demand information related to these partitions, and thereby disinfects each cleaning instrument partition to obtain the first disinfection instrument partition, the second disinfection instrument partition ... the Kth disinfection instrument partition, wherein the instrument disinfection system of the disinfection supply center covers various disinfection technologies and resources for achieving efficient and accurate disinfection operations.

In a possible implementation, as shown in FIG2 , the disinfection control module 40 includes:

The first instrument extraction unit is used to extract the first instrument according to the first cleaning instrument partition, wherein the first instrument includes any instrument in the first cleaning instrument partition. Specifically, the first cleaning instrument partition contains a large number of instruments. The first instrument extraction unit screens and extracts the target first instrument to be extracted by the type, specific identification, and usage order of the instrument. The first instrument extraction unit will perform a comprehensive scan and analysis on the first cleaning instrument partition, identify and evaluate each instrument one by one, and determine whether it meets the extraction standard. Once the target first instrument is determined, the first instrument is separated from the first cleaning instrument partition. Assuming that there are multiple different surgical instruments in the first cleaning instrument partition, the first instrument extraction unit may select a specific scalpel from these instruments as the first instrument according to the needs of the current operation, and accurately extract it by identifying the unique characteristics of the scalpel or its position in the partition, so as to facilitate further use or processing. The first instrument extraction unit performs targeted operations on the first cleaning instrument partition with high accuracy and professionalism, and realizes efficient extraction of any instrument therein, which provides important guarantees for the smooth operation and related operations of the entire system.

The first instrument disinfection control scheme acquisition unit is used to perform disinfection control optimization on the first instrument according to the instrument disinfection optimization algorithm to obtain the first instrument disinfection control scheme that meets the disinfection control optimization constraint. Specifically, when the first instrument disinfection control scheme acquisition unit starts the disinfection control optimization of the first instrument, the first instrument disinfection control scheme acquisition unit will comprehensively consider various relevant factors, including the material characteristics, structural complexity, degree of contamination and specific requirements for the disinfection effect of the first instrument, etc. The instrument disinfection optimization algorithm will evaluate and analyze various possible disinfection control strategies based on this information. The disinfection control optimization constraint plays a key limiting role. The constraint may include the range limit of the disinfection time, the dosage limit of the disinfectant, the upper and lower limits of the disinfection temperature, etc. By strictly following these constraints, the first instrument disinfection control scheme acquisition unit can ensure that the first instrument disinfection control scheme found not only achieves the best disinfection effect, but also meets various actual operation restrictions and safety requirements. For example, for a first instrument of a specific material, the algorithm may consider the tolerance of the material to certain disinfectants, and determine the most suitable type and concentration of disinfectant in combination with the disinfection control optimization constraint. Alternatively, based on the complex structure of the first instrument, the optimal disinfection operation process is determined under the premise of meeting the disinfection time constraint. After a series of sophisticated calculations and optimization processes, the first instrument disinfection control scheme acquisition unit finally successfully obtains the first instrument disinfection control scheme that meets the disinfection control optimization constraint.

The first sterilized instrument acquisition unit is used to perform sterilization control on the first instrument according to the first instrument sterilization control scheme and the instrument sterilization system to obtain a first sterilized instrument. Specifically, the first completed disinfection instrument acquisition unit obtains the first instrument disinfection control plan, which specifies in detail the specific disinfection steps, parameters and other information for the first instrument, such as the type and concentration of the disinfectant, the time and temperature of the disinfection and other key factors. When the first instrument is disinfected and controlled, the first completed disinfection instrument acquisition unit will strictly follow the requirements of the disinfection control plan and work in coordination with the instrument disinfection system. The instrument disinfection system will provide corresponding disinfection resources and environment, such as appropriate disinfectant supply, disinfection equipment with accurate temperature control, etc. The first completed disinfection instrument acquisition unit will accurately execute each link in the disinfection control plan to ensure that the first instrument is placed in a suitable disinfection environment, disinfected at the prescribed time, and that parameters such as the concentration of the disinfectant are always within the required range. During the disinfection process, relevant parameters are monitored and adjusted in real time to ensure that the disinfection effect is achieved. After the disinfection control operation, the first instrument successfully completes the disinfection and is transformed into the first completed disinfection instrument. Through close cooperation with the disinfection control plan and the instrument disinfection system, efficient and reliable disinfection of the first instrument is achieved, ensuring the hygiene, safety and subsequent use of the instrument.

The first instrument disinfection authentication result acquisition unit is used to perform disinfection authentication on the first sterilized instrument according to the instrument disinfection authentication channel to obtain a first instrument disinfection authentication result. Specifically, when the first sterilized device enters the certification stage, the first sterilized device certification result acquisition unit starts the certification procedure through this channel. The sterilized device certification channel contains a series of strict standards, specifications and testing methods. The first sterilized device certification result acquisition unit will conduct a comprehensive and detailed evaluation of the first sterilized device based on these established criteria, involving multiple aspects such as bacterial residue detection on the device surface, disinfectant residue detection, and physical performance inspection of the device. It uses professional testing equipment and technology to accurately collect and analyze data and information related to the first sterilized device, and compare and judge with the preset standard values in the sterilized device certification channel. For example, specific testing reagents and instruments are used to detect whether there are specific pathogen residues on the first sterilized device, or physical testing methods are used to verify whether the device has structural damage or performance changes after the sterilization process. After a series of rigorous testing and analysis processes, the first sterilized device certification result acquisition unit finally obtains the first sterilized device certification result, which indicates the status of the first sterilized device in terms of sterilization certification, ensures the quality and safety of the sterilized device, and provides important basis and feedback to ensure that the effectiveness and reliability of the sterilization work can be maintained continuously.

The first completed disinfection equipment adding unit is used to add the first completed disinfection equipment to the first disinfection equipment partition when the first equipment disinfection certification result is that the disinfection certification is passed. Specifically, the first completed disinfection equipment adding unit accurately identifies the first completed disinfection equipment that has passed the certification, and starts the adding operation, and places the equipment accurately and correctly in the first disinfection equipment partition according to specific rules and procedures. The first completed disinfection equipment adding unit needs to ensure the accuracy and safety of the addition, and work closely with the management system of the first disinfection equipment partition to ensure that the equipment can be properly placed in the appropriate position in the partition, and maintain good organization and management with other equipment, and place it in a specific area or location according to the type, specification or other relevant characteristics of the equipment, so that subsequent use and management are more convenient and efficient. For example, according to the type, specification or other relevant characteristics of the equipment, place it in a specific area or location, so that subsequent use and management are more convenient and efficient. It may also update the relevant database or records to reflect the fact that the first completed sterilization equipment has been successfully added to the first sterilization equipment partition. Through the work of the first completed sterilization equipment adding unit, the qualified equipment that has passed strict sterilization certification can be smoothly added to the first sterilization equipment partition, thereby ensuring the quality and availability of the equipment in the partition, and providing strong guarantees for subsequent related operations.

A disinfection equipment partition acquisition unit, the disinfection equipment partition acquisition unit is used to continue to disinfect the second cleaning equipment partition...the Kth cleaning equipment partition according to the equipment disinfection tuning algorithm, the equipment disinfection authentication channel and the equipment disinfection system, and obtain the second disinfection equipment partition...the Kth disinfection equipment partition. Specifically, the disinfection equipment partition acquisition unit is based on the equipment disinfection tuning algorithm, taking into account the characteristics of different equipment, the target effect of disinfection, resource utilization efficiency, etc., to determine the most suitable disinfection method and parameters. Combined with the equipment disinfection authentication channel, the processing sets standards and specifications to ensure that the disinfected equipment can meet specific quality and safety requirements. The equipment disinfection system provides an actual implementation environment and resource support for the disinfection operation, including disinfection equipment, disinfectant supply, etc. The second cleaning equipment partition to the Kth cleaning equipment partition are disinfected. The disinfection equipment partition acquisition unit will comprehensively use the above-mentioned factors, according to the specific situation of the equipment in each partition, and refer to the equipment disinfection tuning algorithm to make Formulate targeted disinfection plans, use the instrument disinfection certification channel to clarify the quality standards of disinfection, and then use the instrument disinfection system to perform specific disinfection operations. The disinfection instrument partition acquisition unit will finely control and manage the disinfection process of each partition, and adjust the disinfection time, disinfectant concentration or disinfection method according to the differences in instruments in different partitions. Through strict monitoring and adjustment, ensure that the instruments in each partition can complete efficient and reliable disinfection processing as required, and finally obtain the second disinfection instrument partition to the Kth disinfection instrument partition that meet the standards, ensuring that the disinfection work of multiple cleaning instrument partitions can be carried out scientifically and orderly, thereby improving the overall disinfection effect and instrument quality assurance level.

In a possible implementation, the first instrument disinfection control scheme acquisition unit includes:

The first device basic characteristic information loading subunit is used to load the first device basic characteristic information corresponding to the first device. Specifically, the first device basic characteristic information loading subunit loads the first device basic characteristic information corresponding to the first device. The basic characteristic information covers various key attributes describing the device, including basic information such as the type, specification, material, and manufacturer of the device. By loading the first device basic characteristic information, the entire system can fully and accurately understand the characteristics of the first device, and provide the necessary premise and basis for a series of related operations such as subsequent disinfection treatment, certification evaluation, and zoning management. During the loading process, the first device basic characteristic information loading subunit interacts with relevant data storage or information sources to obtain and read these basic characteristic information in an accurate and efficient manner to ensure the integrity and accuracy of the information. For example, through a specific database interface or data transmission channel, the first device basic characteristic information stored in the system is extracted and loaded into the current processing flow. Whether it is the formulation of a disinfection plan, judging whether the device meets specific standards, or in terms of zoning arrangements, accurate decisions and operations can be made based on these detailed basic characteristic information. The existence of the first device basic characteristic information loading subunit ensures that the key information of the first device can be introduced into the entire technical process in a timely and accurate manner, providing important support for the effective operation and scientific management of the entire system.

The first instrument disinfection control scheme record set acquisition subunit is used to retrieve the disinfection control record according to the first instrument basic characteristic information to obtain the first instrument disinfection control scheme record set. Specifically, the first instrument disinfection control scheme record set acquisition subunit carries out the disinfection control record retrieval work based on the detailed basic characteristic information, and uses the key parameters in the basic characteristic information of the first instrument, such as instrument type, material, etc., to perform accurate search and matching in the relevant database or record storage system. Through the retrieval process, it aims to find all disinfection control scheme records related to the current first instrument, including the disinfection control schemes that have been used for instruments of this type or with similar characteristics in the past, including specific details such as disinfection method, time, temperature, and use of drugs, which provides rich references and basis for the subsequent formulation of a specific disinfection control scheme for the current first instrument, and the different aspects of these record sets are accurately searched and matched. The plans are analyzed and compared, and combined with the current actual situation and needs, so as to select or optimize the most suitable disinfection control plan for the current first instrument. For example, it is found that some plans in historical records have achieved good disinfection effects under specific conditions, or some experiences in records can avoid possible problems. By obtaining and using the record set of the disinfection control plan for the first instrument, the scientificity and rationality of the formulation of the disinfection control plan can be improved, and the risk can be reduced. At the same time, the past experience and data resources are fully utilized to make the entire disinfection work more efficient and reliable, ensuring that when facing specific instruments, relevant historical information and experience can be obtained in a targeted manner, providing strong support for making more informed decisions.

The first instrument disinfection control trigger matrix acquisition subunit is used to calculate the trigger interval according to the first instrument disinfection control scheme record set to obtain the first instrument disinfection control trigger matrix. Specifically, the first instrument disinfection control scheme record set is used as the basis and basis, which contains a large amount of information about previous disinfection control schemes related to the first instrument, calculates the trigger interval, and carefully analyzes various data and parameters in the record set, including the implementation conditions, time nodes, effect feedback, etc. of different disinfection schemes, to determine the interval range that may trigger specific disinfection control actions under different circumstances. The first instrument disinfection control trigger matrix obtained is a matrix form representation with a specific structure and information. Each element or position in the matrix corresponds to a specific trigger condition and related control action, providing a clear and systematic framework for guiding and deciding what disinfection control measures should be initiated under what circumstances.

A disinfection control constraint matrix establishment subunit is used to collect the disinfection control constraint information of the instrument disinfection system and establish a disinfection control constraint matrix. Specifically, the disinfection control constraint matrix establishment subunit collects various disinfection control constraint information of the instrument disinfection system, and the constraint information includes but is not limited to: the restriction range of disinfection temperature of different instrument types. After collecting these constraint information, a disinfection control constraint matrix is established, and its specific constraint range is reflected in specific rows or columns in the matrix. All constraint information is integrated into a matrix, and the restriction conditions for disinfection control in various dimensions are clearly presented. The disinfection control constraint matrix provides an important reference basis for subsequent disinfection control decisions. When determining a specific disinfection plan, it can be judged whether the requirements are met based on the constraint information in the matrix to avoid adverse consequences caused by violating the constraint conditions, so that the disinfection control work can be more standardized and systematic.

The first instrument disinfection tuning constraint matrix output subunit is used to obtain the intersection of the first instrument disinfection control trigger matrix and the disinfection control constraint matrix, and output the first instrument disinfection tuning constraint matrix. Specifically, the first instrument disinfection tuning constraint matrix output subunit obtains the first instrument disinfection control trigger matrix and the disinfection control constraint matrix. Assuming that there are a series of trigger conditions and corresponding actions in the first instrument disinfection control trigger matrix, such as triggering actions under a specific temperature and time combination, and the disinfection control constraint matrix contains various constraints for instrument disinfection, such as the maximum temperature limit and the minimum time limit, the trigger conditions that meet the constraints are determined by calculating the intersection of the two matrices, and the elements that simultaneously meet the trigger conditions in the disinfection control trigger matrix and the constraints in the disinfection control constraint matrix are found. For example, if the temperature corresponding to a trigger condition in the trigger matrix is higher than the maximum temperature limit, then this trigger condition does not belong to the elements in the intersection. By comparing and screening one by one, the first instrument disinfection tuning constraint matrix is finally obtained. The output first instrument disinfection tuning constraint matrix clarifies the feasible trigger conditions and corresponding action strategies under the disinfection constraint conditions.

The first instrument disinfection tuning constraint matrix output subunit is used to obtain the intersection of the first instrument disinfection control trigger matrix and the disinfection control constraint matrix, and output the first instrument disinfection tuning constraint matrix. Specifically, the first instrument disinfection tuning constraint matrix output subunit faces the first instrument disinfection control trigger matrix. Assuming that this matrix contains several rows and columns, each row represents a specific combination of trigger conditions, such as temperature range, time interval, etc., each column may correspond to a corresponding specific control action, and the disinfection control constraint matrix is also presented, which contains various restrictions on the disinfection process, such as the maximum allowable temperature and the shortest disinfection time. In order to obtain the intersection, the subunit will compare and analyze each element one by one. For a specific element in the trigger matrix, the temperature condition is 45°C and the time condition is 18 minutes. The subunit will check whether this condition satisfies all the constraints in the disinfection control constraint matrix at the same time. If the maximum allowable temperature and time are within the limit range specified in the disinfection control constraint matrix, then this element satisfies the constraint condition and is an element in the intersection. By checking and screening one by one, the elements that meet the conditions of both matrices are selected to form the first instrument disinfection tuning constraint matrix. Assuming that the trigger matrix has 10 elements that meet specific trigger conditions, and 6 of them also meet the constraints of the constraint matrix, then the final output of the first instrument disinfection tuning constraint matrix contains these 6 elements.

The first instrument disinfection control decision space acquisition subunit and the first instrument disinfection tuning constraint matrix output subunit are used to obtain the intersection of the first instrument disinfection control trigger matrix and the disinfection control constraint matrix, and output the first instrument disinfection tuning constraint matrix. Specifically, the first instrument disinfection control decision space acquisition subunit processes the first instrument disinfection control trigger matrix and the disinfection control constraint matrix. The first instrument disinfection control trigger matrix contains various specific condition settings that may trigger disinfection control behaviors. The conditions may be a combination of multiple factors, such as a specific temperature range, time span, environmental parameters, etc. Each condition combination may correspond to a corresponding disinfection control action or strategy, and the disinfection control constraint matrix defines a series of restrictions and rules that must be followed during the disinfection process, including regulations on upper and lower temperature limits, requirements for the shortest or longest disinfection time, restrictions on disinfectant concentrations, etc. The two matrices are analyzed and these constraints are met at the same time. The trigger conditions belong to the elements in the intersection. By performing such analysis and comparison on all elements in the trigger matrix one by one, those elements that meet the trigger conditions and do not violate the constraints are found, and finally the first instrument disinfection tuning constraint matrix is formed. The first instrument disinfection tuning constraint matrix accurately defines the feasible disinfection control decision space under given constraints, clarifies which specific trigger conditions can trigger effective disinfection control behaviors, and ensures that these behaviors are within a reasonable constraint range.

The optimization evaluation channel activation subunit is used to activate the disinfection control optimization evaluation channel. Specifically, the optimization evaluation channel activation subunit activates the disinfection control optimization evaluation channel when optimizing and evaluating the disinfection control, triggers a series of related procedures and processes through specific mechanisms or instructions, so that the disinfection control optimization evaluation channel that was originally in a "dormant" or unactivated state is awakened and enters a working state. Once the channel is activated, it becomes a key path for information flow and analysis and processing. Various data, parameters, status information, etc. related to disinfection control can be transmitted and interacted along this channel. For example, actual disinfection effect data, equipment operating parameters, environmental conditions and other information can be collected and integrated through this channel, and the current disinfection control plan is evaluated, its advantages and disadvantages are analyzed, and then the direction of improvement and optimization is formulated according to the evaluation results.

The first instrument disinfection control scheme subunit is used to iteratively optimize the first instrument disinfection control decision space according to the disinfection control optimization evaluation channel, and output the first instrument disinfection control scheme that satisfies the disinfection control optimization constraint. Specifically, the first instrument disinfection control scheme subunit uses the disinfection control optimization evaluation channel as an important basis to optimize the first instrument disinfection control decision space. Through close interaction with the disinfection control optimization evaluation channel, the subunit can obtain a large amount of information related to disinfection control, including various parameters, actual effect feedback, constraints, etc., iteratively optimize, analyze and adjust each decision variable according to the current decision space and the information obtained from the channel, try different combinations and settings, and gradually approach the best solution that satisfies the disinfection control optimization constraint. With each round of calculation and adjustment, the solution will get closer and closer to the ideal state, that is, satisfy the disinfection control optimization constraint, and successfully output the first instrument disinfection control solution that satisfies these constraints.

In a possible implementation, the optimization evaluation channel activation subunit includes:

Disinfection control prediction channel micro-unit, the disinfection control prediction channel micro-unit is used for the disinfection control prediction channel to include multiple disinfection control prediction indicators, and the multiple disinfection control prediction indicators include predicted disinfection efficiency indicators, predicted disinfection energy consumption indicators, and predicted disinfection quality indicators. Specifically, the disinfection control prediction channel micro-unit uses the disinfection control prediction channel as a key support to process and analyze the multiple disinfection control prediction indicators. Through close integration with the disinfection control prediction channel, the micro-unit can obtain information related to disinfection control, including predicted disinfection efficiency indicators, predicted disinfection energy consumption indicators, predicted disinfection quality indicators, etc. Based on the information and data, each indicator is evaluated and predicted, exploring different possibilities and trends, and gradually approaching accurate prediction results that meet actual needs. With each analysis and prediction, the results will be closer to the actual situation, and the multiple disinfection control prediction indicator information will be output.

The disinfection control optimization calculation channel micro-unit is used for the disinfection control optimization calculation channel to include a disinfection control optimization calculation function, and the disinfection control optimization calculation function is: ;in, Characterize the optimization evaluation coefficient of disinfection control, Characterizes the predetermined optimization evaluation gain condition, and are all positive numbers, The sum of is 1, γ represents the first disinfection control optimization evaluation factor, and γ is greater than 1, ρ represents the second disinfection control optimization evaluation factor, and , e represents the predicted disinfection efficiency index value, Characterize and predict the disinfection energy consumption index value, Characterize and predict disinfection quality index values, Characterize the normalization function, Characterizes the normalized predicted disinfection efficiency index value, Characterizes the normalized predicted disinfection energy consumption index value, Characterize the normalized predicted disinfection quality index value.

Specifically, the disinfection control optimization calculation channel micro unit includes a disinfection control optimization calculation function. middle The disinfection control optimization evaluation coefficient represented is a key indicator for measuring the degree of optimization of disinfection control. These three predetermined optimization evaluation gain conditions are all positive numbers and their sum is 1, which plays a role in regulating and balancing the weights of different factors in the calculation. γ represents the first disinfection control optimization evaluation factor, which is greater than 1, and The second disinfection control optimization evaluation factor has a specific impact on the calculation process, providing different dimensions and standards for evaluation. e represents the predicted disinfection efficiency index value, reflecting the prediction of disinfection efficiency. Represents the predicted disinfection energy consumption index value, reflecting the estimation of energy consumption; Represents the predicted disinfection quality index value, which is related to the prediction of disinfection quality. Represents the predicted disinfection quality index value, which is related to the prediction of disinfection quality. The normalized predicted disinfection efficiency index value , predict disinfection energy consumption index value , predict disinfection quality index values Through comprehensive calculations and utilizing the characteristics of logarithmic functions, an evaluation coefficient is finally obtained that can accurately reflect the optimization status of disinfection control.

In a possible implementation, the first device disinfection authentication result obtaining unit includes:

The first instrument disinfection residual characteristic data acquisition subunit is used to detect the disinfectant residual information and microbial residual information of the first sterilized instrument to obtain the first instrument disinfection residual characteristic data. Specifically, the first instrument disinfection residual characteristic data acquisition subunit performs a comprehensive inspection on the first completed disinfected instrument to obtain two key aspects of information, namely, disinfectant residual information and microbial residual information. The inspection of disinfectant residual information accurately determines the residual amount and distribution of disinfectant on the surface or inside of the instrument, which helps to evaluate whether the disinfection process has completely and effectively removed the disinfectant and avoids the adverse effects that may be caused by excessive disinfectant residues, such as potential hazards to subsequent use or contact. The microbial residual information is checked to clarify whether there are still residual microorganisms on the instrument, including various bacteria, viruses, fungi, etc., which reflects the effectiveness of the disinfection and is related to the safety and reliability of the instrument when it is used again. Comprehensive and representative first instrument disinfection residual characteristic data is obtained to provide a basis for subsequent evaluation and decision-making, such as judging whether the disinfection meets the standards and whether further treatment is required. It can also provide important reference information for optimizing the disinfection process and improving the disinfection method. Chemical analysis methods are used to detect disinfectant residues, and microbial culture or rapid detection technology is used to determine the microbial residue situation to ensure the accuracy and reliability of the data. Strict quality control and calibration measures are also required.

The instrument disinfection certification channel subunit is used for the instrument disinfection certification channel to include a disinfection and sterilization evaluation model and a disinfection certification model. Specifically, the instrument disinfection certification channel sub-unit focuses on the instrument disinfection certification channel and includes two important models, namely the disinfection and sterilization evaluation model and the disinfection certification model. The disinfection and sterilization evaluation model is a key tool for evaluating the disinfection and sterilization effect of instruments. Through a series of indicators, parameters and analysis methods, it can comprehensively and accurately judge the actual condition of the instrument after disinfection and sterilization. It comprehensively considers various factors such as temperature, pressure, time, disinfectant concentration, and the evaluation of microbial killing effect, etc., to generate a detailed evaluation report on the disinfection and sterilization effect, providing an important basis for subsequent certification work. The disinfection certification model is mainly responsible for certifying the compliance and effectiveness of instrument disinfection. According to relevant standards, specifications and regulations, the results obtained by the disinfection and sterilization evaluation model are reviewed and confirmed. Through strict comparison and verification, it is determined whether the disinfection of the instrument has met the specified requirements and standards, so as to give the corresponding certification mark or certificate. The disinfection and sterilization evaluation model is used to conduct in-depth analysis and evaluation of the disinfection of the instrument to obtain detailed evaluation data and conclusions. The disinfection certification model performs certification operations on this basis to determine whether to give recognition.

The first instrument disinfection and sterilization evaluation index acquisition subunit is used to input the first instrument disinfection residual characteristic data into the disinfection and sterilization evaluation model to obtain the first instrument disinfection and sterilization evaluation index. Specifically, the first instrument disinfection and sterilization evaluation index acquisition subunit inputs the acquired first instrument disinfection residual characteristic data into the disinfection and sterilization evaluation model, which is a carefully designed and verified model that comprehensively considers the weight distribution of multiple indicators such as disinfectant residue and microbial residue, and multiplies the measured disinfectant residue index score and microbial residue index score by the corresponding weight to obtain the first instrument disinfection and sterilization evaluation index.

The first instrument disinfection certification result output subunit is used to input the first instrument disinfection and sterilization evaluation index into the disinfection certification model and output the first instrument disinfection certification result, wherein the disinfection certification model includes instrument disinfection and sterilization evaluation constraints. Specifically, the first instrument disinfection and sterilization evaluation index obtained by the output subunit is input into the disinfection certification model, and the disinfection certification model includes the key element of instrument disinfection and sterilization evaluation constraints. The constraint conditions cover the specific range requirements for the disinfection and sterilization evaluation index, the threshold setting of different indicators, and the compliance with relevant standards and specifications. For example, it is stipulated that when the first instrument disinfection and sterilization evaluation index reaches a certain value or above, it meets the disinfection certification standards. When the input first instrument disinfection and sterilization evaluation index meets these constraints, the disinfection certification model will output the corresponding certification result, indicating that the disinfection process of the instrument is recognized and qualified. If the first instrument disinfection and sterilization evaluation index fails to meet certain key requirements in the constraints, then the disinfection certification model will output a negative certification result, indicating that the disinfection work of the instrument may be insufficient or needs further improvement, so as to achieve accurate certification of the disinfection effect of the first instrument and output clear results.

The storage and distribution module 50 is used to store and distribute the first disinfection equipment partition, the second disinfection equipment partition, ... the Kth disinfection equipment partition based on the multiple equipment RFID tags. Specifically, the storage and distribution module 50 performs operations based on multiple equipment RFID tags. The equipment RFID tags contain key information about the equipment. For the first disinfection equipment partition, the second disinfection equipment partition, and the Kth disinfection equipment partition, the storage and distribution module 50 will accurately distinguish and manage the equipment RFID tags corresponding to each partition. When the disinfected equipment is placed in the corresponding partition, by reading the RFID tag on the equipment, the partition category to which the equipment belongs can be accurately identified, and it can be properly stored in the corresponding first disinfection equipment partition, second disinfection equipment partition, etc., ensuring the orderliness and accuracy of the storage. When the equipment in a specific partition is delivered to the designated location during the delivery phase, the specific partition where the required equipment is located can be quickly and accurately found with the help of the equipment RFID tag, and the equipment in the partition can be extracted and delivered as required, ensuring the efficiency and correctness of the delivery process and avoiding the occurrence of wrong delivery or confusion.

The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims (8)

1. An area-based digital public service platform, the platform comprising:

A decompensated instrument receiving module for receiving a plurality of task instruments of a disinfection supply center, the plurality of task instruments having a corresponding plurality of instrument RFID tags;

The instrument feature processing module is used for classifying and encoding the task instruments according to the instrument RFID tags to obtain a first instrument partition and a second instrument partition … K-th instrument partition, wherein K is a positive integer;

the cleaning management and control module is used for cleaning the first instrument partition and the second instrument partition … according to the instrument cleaning system of the disinfection supply center based on the embedded multi-element cleaning digital processing channel to obtain a Kth cleaning instrument partition of the first cleaning instrument partition and the second cleaning instrument partition …;

The disinfection management and control module is used for carrying out disinfection treatment on the first cleaning instrument partition and the second cleaning instrument partition … and the Kth cleaning instrument partition by combining an instrument disinfection system of the disinfection supply center based on an embedded instrument disinfection and optimization algorithm and an instrument disinfection and authentication channel to obtain a first disinfection instrument partition and a second disinfection instrument partition …;

And a storage and delivery module for storing and delivering the first sterilized instrument partition, the second sterilized instrument partition …, and the kth sterilized instrument partition based on the plurality of instrument RFID tags.

2. The regional power-off digital common services platform of claim 1, wherein the cleaning management module performs a cleaning process on the first instrument partition, the second instrument partition …, and the kth instrument partition in conjunction with an instrument cleaning system of the disinfection supply center based on an embedded multi-element cleaning digital processing channel to obtain a first cleaning instrument partition, a second cleaning instrument partition …, and kth cleaning instrument partition, comprising:

the multi-element cleaning digital processing channel comprises an instrument dirt detection channel, an instrument cleaning control analysis channel and an instrument cleaning verification channel;

Loading basic characteristic information of each instrument corresponding to the first instrument partition;

Performing dirt detection on the first instrument partition based on the instrument dirt detection channel to obtain a dirt detection result of each instrument;

Generating each instrument cleaning control scheme according to the instrument cleaning control analysis channel based on the instrument dirt detection result and the instrument basic characteristic information;

Based on the instrument cleaning control schemes, cleaning the first cleaning instrument partition according to the instrument cleaning system to obtain a first cleaning instrument partition;

performing cleaning verification on the first cleaning instrument area according to the instrument cleaning verification channel to obtain a first cleaning verification operator;

when the first cleaning verification operator is qualified in cleaning verification, drying the first cleaning instrument area according to the instrument cleaning system to obtain the first cleaning instrument area;

And continuing to perform cleaning treatment on the Kth instrument partition of the second instrument partition … according to the multi-cleaning digital processing channel and the instrument cleaning system to obtain a Kth cleaning instrument partition of the second cleaning instrument partition ….

3. The regional digital utility model as claimed in claim 2, wherein the performing the contamination detection on the first instrument partition based on the instrument contamination detection channel to obtain the result of the contamination detection of each instrument comprises:

The instrument dirt detection channel comprises an instrument image acquisition device, an enhanced treatment model and an instrument dirt detection model;

Obtaining each instrument image of the first instrument partition according to the instrument image acquisition device;

performing reinforcement treatment on the instrument images according to the reinforcement treatment model to generate reinforcement images of the instruments;

Inputting the enhanced images of the instruments into the instrument dirt detection model, and outputting the dirt detection results of the instruments.

4. The regional digital utility model of claim 2, wherein the cleaning verification of the first cleaning tool zone based on the tool cleaning verification channel to obtain a first cleaning verification operator comprises:

The instrument cleaning and checking channel comprises an instrument cleaning and evaluating model and an instrument cleaning and checking device;

Obtaining a plurality of cleaning instrument image data corresponding to the first cleaning instrument region;

Inputting the plurality of cleaning instrument image data into the instrument cleaning evaluation model to obtain a plurality of instrument cleaning evaluation coefficients;

inputting the plurality of instrument cleaning evaluation coefficients into the instrument cleaning verifier, and outputting the first cleaning verification operator;

wherein the instrument cleaning verifier comprises a preset instrument cleaning evaluation coefficient;

if the cleaning evaluation coefficients of the plurality of instruments are all larger than/equal to the cleaning evaluation coefficient of the preset instrument, the obtained first cleaning verification operator is qualified in cleaning verification;

If any one of the plurality of instrument cleaning evaluation coefficients is smaller than the preset instrument cleaning evaluation coefficient, the obtained first cleaning verification operator is unqualified in cleaning verification.

5. The regional power-off digital public service platform of claim 1, wherein the disinfection management and control module performs disinfection treatment on the first cleaning instrument partition, the second cleaning instrument partition … and the kth cleaning instrument partition by combining an instrument disinfection system of the disinfection supply center based on an embedded instrument disinfection optimization algorithm and an instrument disinfection authentication channel to obtain a first disinfection instrument partition, a second disinfection instrument partition … and a kth disinfection instrument partition, and the method comprises the following steps:

Extracting a first instrument from the first cleaning instrument partition, wherein the first instrument comprises any one instrument in the first cleaning instrument partition;

performing disinfection control optimizing on the first instrument according to the instrument disinfection optimizing algorithm to obtain a first instrument disinfection control scheme meeting the disinfection control optimizing constraint;

Sterilizing and controlling the first instrument according to the first instrument sterilization control scheme and the instrument sterilization system to obtain a first sterilized instrument;

performing disinfection and authentication on the first disinfected instrument according to the instrument disinfection and authentication channel to obtain a first instrument disinfection and authentication result;

when the first instrument disinfection authentication result is that disinfection authentication passes, adding the first completed disinfection instrument to the first disinfection instrument partition;

and continuing to disinfect the Kth cleaning instrument partition of the second cleaning instrument partition … according to the instrument disinfection optimization algorithm, the instrument disinfection authentication channel and the instrument disinfection system to obtain a Kth disinfection instrument partition of the second disinfection instrument partition ….

6. The regional digital utility model as claimed in claim 5, wherein the optimizing the disinfection control of the first instrument according to the instrument disinfection optimization algorithm, to obtain a first instrument disinfection control scheme satisfying the disinfection control optimizing constraint, comprises:

loading first instrument basic characteristic information corresponding to the first instrument;

performing disinfection control record retrieval according to the first instrument basic characteristic information to obtain a first instrument disinfection control scheme record set;

performing trigger interval calculation according to the first instrument disinfection control scheme record set to obtain a first instrument disinfection control trigger matrix;

acquiring disinfection control constraint information of the instrument disinfection system, and establishing a disinfection control constraint matrix;

Solving an intersection of the first instrument disinfection control trigger matrix and the disinfection control constraint matrix, and outputting a first instrument disinfection tuning constraint matrix;

Performing disinfection control decision according to the first instrument disinfection tuning constraint matrix to obtain a first instrument disinfection control decision space meeting the constraint of a preset decision capacity;

activating a disinfection control optimizing evaluation channel;

And carrying out iterative optimization on the first instrument disinfection control decision space according to the disinfection control optimization evaluation channel, and outputting the first instrument disinfection control scheme meeting the disinfection control optimization constraint.

7. The regional cancellation digital public service platform of claim 6, wherein the disinfection control optimizing evaluation channel comprises a disinfection control prediction channel and a disinfection control optimizing calculation channel;

The disinfection control prediction channel comprises a plurality of disinfection control prediction indexes, wherein the plurality of disinfection control prediction indexes comprise a predicted disinfection efficiency index, a predicted disinfection energy consumption index and a predicted disinfection quality index;

the disinfection control optimizing calculation channel comprises a disinfection control optimizing calculation function, and the disinfection control optimizing calculation function is as follows: ; wherein, Characterization of the disinfection control optimizing evaluation coefficient,Characterizing a predetermined optimizing evaluation gain condition, anAll are positive numbers, the number of the two groups of the two,Is 1, gamma represents a first disinfection control optimizing evaluation factor, and gamma is greater than 1, ρ represents a second disinfection control optimizing evaluation factor, andE, representing a predicted disinfection efficiency index value,Characterizing the predicted disinfection energy consumption index value,Characterizing the predicted sterilization quality index value,The normalization function is characterized in that,Characterizing the normalized predicted sterilization efficiency index value,Characterizing the normalized predicted sterilization energy consumption index value,Characterizing the normalized predicted sterilization quality index value.

8. The regional digital utility model as claimed in claim 5, wherein the sterilizing the first completed sterilizing instrument according to the instrument sterilizing and authenticating channel, obtaining a first instrument sterilizing and authenticating result, comprises:

Detecting disinfectant residual information and microorganism residual information of the first completed disinfection instrument to obtain disinfection residual characteristic data of the first instrument;

The instrument disinfection and authentication channel comprises a disinfection and sterilization evaluation model and a disinfection and authentication model;

inputting the first instrument disinfection residual characteristic data into the disinfection and sterilization evaluation model to obtain a first instrument disinfection and sterilization evaluation index;

Inputting the first instrument disinfection and sterilization evaluation index into the disinfection and authentication model, and outputting the first instrument disinfection and authentication result, wherein the disinfection and authentication model comprises instrument disinfection and sterilization evaluation constraint.