Medical space operation and maintenance management method and system based on twinborn digits

Abstract

The invention relates to the field of medical space management and maintenance, in particular to a medical space operation and maintenance management method and system based on twinborn digital.The system comprises a sensor module, a digital twinborn platform and a central management platform; the medical space comprises a water supply system module, a drainage system module, a hot water system module, a pure water system module, a sewage treatment system module and a rainwater collection system module; the sensor module is used for acquiring water supply and drainage parameters of the medical space and comprises a pressure sensor, a temperature sensor, a liquid level sensor, a water flow sensor, a water quality sensor and a gas sensor; the digital twin platform is used for carrying out analogue simulation on the operation of the medical space to obtain first optimized data; and the central management platform is used for further optimizing the first optimization data to obtain second optimization data and executing the second optimization data. According to the medical space operation and maintenance management method and system, the operation efficiency and safety of a medical space water supply and drainage system can be improved, and the maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of medical space management and maintenance, and in particular to a medical space operation and maintenance management method and system based on twin digital technology. Background Art

[0002] The medical space water supply and drainage system is an important facility to ensure the normal operation of hospitals and other medical institutions, mainly including water supply system and drainage system.

[0003] The management and maintenance of traditional medical space water supply and drainage systems mainly rely on manual operations, which are inefficient and prone to missed detections and misjudgments, leading to frequent system failures and affecting the quality and safety of medical services. Summary of the invention

[0004] The purpose of the present invention is to solve the problem of low management and maintenance efficiency of the traditional medical space water supply and drainage system described in the above background technology, which makes the system prone to failure. Herein, a medical space operation and maintenance management method and system based on twin digital are proposed. By adopting this system, the efficiency of medical space operation and maintenance management can be improved, the possibility of equipment failure can be discovered in advance, and accidents can be avoided.

[0005] The technical solution adopted by the present invention to solve the technical problem is: a medical space operation and maintenance management system based on digital twins, the medical space operation and maintenance management system includes a sensor module, a digital twin platform and a central management platform.

[0006] The medical space includes one or more modules selected from the group consisting of a water supply system module, a drainage system module, a hot water system module, a pure water system module, a sewage treatment system module, and a rainwater collection system module;

[0007] The sensor module is used to obtain water supply and drainage parameters of the medical space, and the sensor module includes a pressure sensor, a temperature sensor, a liquid level sensor, a water flow sensor, a water quality sensor and a gas sensor;

[0008] The digital twin platform is used to simulate the operation of the medical space to obtain first optimization data;

[0009] The central management platform is used to further optimize the first optimized data to obtain second optimized data and execute the second optimized data.

[0010] Preferably, the digital twin platform includes a perception module, a data module, a model module and an application module.

[0011] The sensing module is used to collect and transmit the data acquired by the sensor module and the operation data of each module in the medical space;

[0012] The data module is used to store and manage the data collected by the perception module;

[0013] The model module is used to analyze and model the data stored in the data module to build a digital twin model;

[0014] The application module is used to perform simulation through a digital twin model to obtain first optimization data of the medical space.

[0015] Preferably, the central management platform includes a data acquisition module, a data transmission and processing module, an analysis and optimization module, and a feedback and execution module.

[0016] The data acquisition module is used to obtain the sensor module, the operation data of each module of the medical space and the first optimization data;

[0017] The data transmission and processing module is used to transmit the data acquired by the acquisition module and perform preliminary processing;

[0018] The analysis and optimization module is used to analyze and predict the data after preliminary processing;

[0019] The feedback and execution module is used to generate and execute second optimization data according to the analysis and prediction results.

[0020] Preferably, the analysis and prediction results obtained by the analysis and optimization module include the probability of equipment failure in each module of the medical space, energy consumption status and operating status.

[0021] Preferably, the central management platform further comprises a visualization module, and the visualization module is used to display the data obtained by the data acquisition module in a visual manner, and the visualization manner comprises a curve chart and a dashboard.

[0022] A medical space operation and maintenance management method, the medical space operation and maintenance management method comprising the following steps:

[0023] S1. Obtain water supply, drainage and equipment data in medical space through sensors;

[0024] S2. Establish a basic model of the medical space, and input the water supply and drainage and equipment data in the medical space into the basic model of the medical space to establish a digital twin model;

[0025] S3. Perform simulation through the digital twin model to obtain first optimization data;

[0026] S4. Input the water supply and drainage and equipment data in the medical space and the first optimization data into the central management platform, obtain the second optimization data and execute it.

[0027] Preferably, in step S1, the water supply and drainage data in the medical space include pressure, temperature, liquid level, water flow, water quality and gas concentration, and the equipment data include operating status, energy consumption and fault information.

[0028] Preferably, step S2 is specifically as follows:

[0029] S21. Obtain, store and manage water supply and drainage and equipment data in medical spaces;

[0030] S22. Establish a basic model of medical space;

[0031] S23. Establishing a data model for the stored data through machine learning or deep learning methods to obtain optimized medical space equipment data;

[0032] S24. Input the optimized medical space equipment data into the medical space basic model to build a digital twin model.

[0033] Preferably, step S4 is specifically as follows:

[0034] S41. Obtain water supply and drainage and equipment data and first optimization data in medical space in real time through Internet of Things technology;

[0035] S42, inputting the acquired data into the central management platform;

[0036] S43, performing preliminary processing on the acquired data through edge computing;

[0037] S44, analyzing and predicting the initially processed data through big data analysis and AI technology to generate second optimized data;

[0038] S45. The central management platform executes the second optimization data through remote control.

[0039] The beneficial effects of the present invention are:

[0040] 1. The present invention can realize the intelligent management of the water supply and drainage system throughout the life cycle of the medical space. Through the digital twin technology, the actual environment can be monitored and simulated in real time, optimization suggestions and decision support can be provided, the operational efficiency and safety of the supply and drainage system can be improved, and maintenance costs can be reduced.

[0041] 2. The present invention further optimizes the first optimization data obtained by the digital twin platform through the central management platform, so that the data finally obtained is more reliable, realizes the precise operation of each device in the medical space, reduces the energy consumption of the equipment, and accurately predicts the reliability of equipment operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is the structural diagram of the medical space operation and maintenance management system based on twin digital technology. DETAILED DESCRIPTION

[0043] It should be noted that the following detailed descriptions are illustrative and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present application belongs.

[0044] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0045] The present invention is now further described in conjunction with specific examples. The following examples are only for explaining the present invention, but do not constitute a limitation of the present invention. The test samples and test processes used in the following examples include the following (if the specific experimental conditions are not indicated in the examples, they are usually in accordance with conventional conditions or the conditions recommended by the reagent company; the reagents, consumables, etc. used in the following examples, if not otherwise specified, can all be obtained from commercial channels).

[0046] One of the purposes of the present invention is to provide a medical space operation and maintenance management system based on twin digital technology, wherein the medical space includes one or more modules of a water supply system module, a drainage system module, a hot water system module, a pure water system module, a sewage treatment system module and a rainwater collection system module, so as to realize the rapid deployment and flexible combination of various functional modules to meet different medical needs. In actual applications, specific selections can be made. For example, in one embodiment, the medical space consists of a water supply system module, a drainage system module, a hot water system module, a pure water system module, a sewage treatment system module and a rainwater collection system module.

[0047] The medical space operation and maintenance management system consists of a sensor module, a digital twin platform and a central management platform. The sensor module is used to obtain the water supply and drainage parameters of the medical space, including pressure sensors, temperature sensors, liquid level sensors, water flow sensors, water quality sensors and gas sensors. The specific layout is as follows:

[0048] At the water pipe joint, it is used to monitor the pressure and temperature in the water pipe;

[0049] Near the hot water equipment, used to monitor the temperature and water flow of hot water;

[0050] In equipment such as pools and tanks, it is used to monitor liquid and water levels;

[0051] At water treatment equipment, used to monitor water quality parameters;

[0052] In drainage pipelines, it is used to monitor gas concentration and sewage flow.

[0053] The digital twin platform is used to simulate the operation of the medical space and obtain the first optimization data. Its specific components are as follows: perception module, data module, model module and application module. The perception module is used to collect and transmit the data obtained by the sensor module and the operation data of each module in the medical space, including pressure, temperature, liquid level, water flow, water quality, gas concentration, etc., as well as information data such as the operating status, energy consumption, and faults of the equipment used in the medical space.

[0054] The data module is used to store and manage the data collected by the perception module, such as using tools such as databases and data warehouses to organize, store and maintain data.

[0055] The model module is used to analyze and model the data stored in the data module and build a digital twin model. Specifically, it analyzes and models the collected data to explore the patterns and potential problems behind the data, establishes a data model through machine learning or deep learning methods, predicts and optimizes the operating status of the water supply and drainage system, and inputs the optimized data into the basic model of the medical space to build a digital twin model that can reflect the water supply and drainage system in the physical space in real time. This model can simulate the equipment operation, water flow status, water quality changes, and other conditions of the water supply and drainage system in the physical space.

[0056] The application module is used to perform simulation through the digital twin model to obtain the first optimization data of the medical space. Specifically, the water supply and drainage system is simulated through the digital twin model, the system performance under different operating conditions is analyzed, the equipment operating parameters and scheduling strategies are optimized, and the medical space maintenance plan, fault warning and operating parameters of each module of the medical space are obtained, that is, the first optimization data. Under this data, the overall operating efficiency and stability of the medical space are improved.

[0057] The central management platform is used to further optimize the first optimized data to obtain the second optimized data and execute it. Its specific components are as follows: data acquisition module, data transmission and processing module, analysis and optimization module, feedback and execution module and visualization module, among which the data acquisition module is used to obtain the sensor module, the operating data of each module in the medical space and the first optimization data, including pressure, temperature, liquid level, water flow, water quality, gas concentration, etc., as well as information data such as the operating status, energy consumption, and faults of the equipment used in the medical space, and the first optimization data.

[0058] The data transmission and processing module is used to transmit the data acquired by the acquisition module and perform preliminary processing. Specifically, it uses edge computing to perform preliminary processing on the acquired data, analyze the working status of equipment in the medical space in real time, and respond quickly to sudden abnormalities.

[0059] The analysis and optimization module is used to analyze and predict the data after preliminary processing. Specifically, the processed data is analyzed through big data analysis and artificial intelligence analysis to perform health assessment and predictive analysis of the equipment, and optimize the equipment operating parameters to reduce equipment energy consumption.

[0060] The feedback and execution module is used to generate and execute the second optimization data based on the analysis and prediction results. Specifically, based on the optimized equipment operating parameters, fault prediction and other data obtained above, a medical space maintenance plan, fault warning and optimized operating parameters of each module of the medical space, i.e., the second optimization data, are generated.

[0061] Among them, fault prediction adopts the method of establishing a fault model, combining historical data to predict the probability of equipment failure. When the probability reaches the set threshold, the model issues a warning message.

[0062] The visualization module is used to display the data obtained by the data acquisition module in a visual way, so that managers can control the operation status of the system in real time. The visualization methods include curve graphs and dashboards to display the current water pressure, temperature, liquid level, water flow, water quality, gas concentration and other data.

[0063] Furthermore, the second optimized data can be further optimized using data mining or machine learning techniques to improve system operating efficiency.

[0064] During the operation of the medical space operation and maintenance management system, the data acquisition module of the central management platform can directly obtain the sensor module, the operating data of each module of the medical space and the first optimization data through the digital twin platform, so as to achieve real-time monitoring of the operating status of the medical space. At the same time, the central management platform can also transmit the operating data and maintenance records of the equipment to the digital twin platform to realize the optimization positive feedback of the central management platform and the digital twin platform.

[0065] The optimization method used by the central management platform to further optimize the first optimized data to obtain the second optimized data is specifically:

[0066] Goal setting: clarify specific goals for further optimization, including improving energy efficiency and reducing costs;

[0067] Advanced algorithm application: Use optimization algorithms, including genetic algorithms or particle swarm optimization algorithms, to find better solutions based on existing data.

[0068] Among them, the further optimized data can be re-input into the digital twin platform for simulation verification, and the optimization strategy can be continuously monitored and adjusted.

[0069] The second object of the present invention is to provide a medical space operation and maintenance management method based on twin digital technology. The specific steps of the medical space operation and maintenance management method are as follows:

[0070] S1. Obtain water supply and drainage and equipment data in the medical space through sensors, where the water supply and drainage data in the medical space include pressure, temperature, liquid level, water flow, water quality and gas concentration, and the equipment data include operating status, energy consumption and fault information.

[0071] S2. Establish a basic model of the medical space, input the water supply and drainage and equipment data in the medical space into the basic model of the medical space to establish a digital twin model, which is specifically:

[0072] S21. Obtain, store and manage water supply and drainage and equipment data in medical spaces;

[0073] S22. Establish a basic model of medical space;

[0074] S23. Establishing a data model for the stored data through machine learning or deep learning methods to obtain optimized medical space equipment data;

[0075] S24. Input the optimized medical space equipment data into the medical space basic model to build a digital twin model.

[0076] S3. Perform simulation through the digital twin model to obtain first optimization data.

[0077] S4, inputting the water supply and drainage and equipment data in the medical space and the first optimization data into the central management platform, obtaining the second optimization data and executing it, which is specifically:

[0078] S41. Obtain water supply and drainage and equipment data and first optimization data in medical space in real time through Internet of Things technology;

[0079] S42, inputting the acquired data into the central management platform;

[0080] S43, performing preliminary processing on the acquired data through edge computing;

[0081] S44, analyzing and predicting the initially processed data through big data analysis and AI technology to generate second optimized data;

[0082] S45. The central management platform executes the second optimization data through remote control, specifically sending the plan arrangement and fault clearing tasks in electronic form to the staff's electronic receiving device for planning and arrangement according to the medical space maintenance plan and fault warning, and changing the operating parameters of the medical space equipment through remote control.

[0083] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0084] The above is a detailed introduction to the medical space operation and maintenance management method and system based on twin digital technology provided by the present invention. This article uses specific examples to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present invention, the present invention can also be improved and modified, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims

1. A medical space operation and maintenance management system based on twin digital technology. Features: The medical space operation and maintenance management system includes a sensor module, a digital twin platform and a central management platform. The medical space includes one or more modules selected from the group consisting of a water supply system module, a drainage system module, a hot water system module, a pure water system module, a sewage treatment system module, and a rainwater collection system module; The sensor module is used to obtain water supply and drainage parameters of the medical space, and the sensor module includes a pressure sensor, a temperature sensor, a liquid level sensor, a water flow sensor, a water quality sensor and a gas sensor; The digital twin platform is used to simulate the operation of the medical space to obtain first optimization data; the central management platform is used to further optimize the first optimization data to obtain second optimization data and execute it.

2. The medical space operation and maintenance system according to claim 1, Features: The digital twin platform includes a perception module, a data module, a model module and an application module. The sensing module is used to collect and transmit the data acquired by the sensor module and the operation data of each module in the medical space; The data module is used to store and manage the data collected by the perception module; The model module is used to analyze and model the data stored in the data module to construct a digital twin model; the application module is used to perform simulation through the digital twin model to obtain the first optimization data.

3. The medical space operation and maintenance system according to claim 1, Features: The central management platform includes a data acquisition module, a data transmission and processing module, an analysis and optimization module, and a feedback and execution module. The data acquisition module is used to obtain the sensor module, the operation data of each module of the medical space and the first optimization data; The data transmission and processing module is used to transmit the data acquired by the acquisition module and perform preliminary processing; The analysis and optimization module is used to analyze and predict the data after preliminary processing; The feedback and execution module is used to generate and execute second optimization data according to the analysis and prediction results.

4. The medical space operation and maintenance system according to claim 3, Features: The analysis and prediction results obtained by the analysis and optimization module include the probability of equipment failure in each module of the medical space, energy consumption status and operating status.

5. The medical space operation and maintenance system according to claim 1, Features: The central management platform also includes a visualization module, which is used to display the data obtained by the data acquisition module in a visual manner, and the visualization manner includes a curve chart and a dashboard.

6. The medical space operation and maintenance system according to claim 1, Features: The first optimization data and the second optimization data include a medical space maintenance plan, a fault warning, and operating parameters of each module of the medical space.

7. A medical space operation and maintenance management method based on twin digital technology. Features: The medical space operation and maintenance management method comprises the following steps: S1. Obtain water supply, drainage and equipment data in medical space through sensors; S2. Establish a basic model of the medical space, and input the water supply and drainage and equipment data in the medical space into the basic model of the medical space to establish a digital twin model; S3. Perform simulation through the digital twin model to obtain first optimization data; S4. Input the water supply and drainage and equipment data in the medical space and the first optimization data into the central management platform, obtain the second optimization data and execute it.

8. The medical space operation and maintenance management method according to claim 7, Features: In step S1, the water supply and drainage data in the medical space include pressure, temperature, liquid level, water flow, water quality and gas concentration, and the equipment data include operating status, energy consumption and fault information.

9. The medical space operation and maintenance management method according to claim 7, Features: Step S2 is specifically as follows: S21. Obtain, store and manage water supply and drainage and equipment data in medical spaces; S22. Establish a basic model of medical space; S23. Establishing a data model for the stored data through machine learning or deep learning methods to obtain optimized medical space equipment data; S24. Input the optimized medical space equipment data into the medical space basic model to build a digital twin model.

10. The medical space operation and maintenance management method according to claim 7, Features: Step S4 is specifically as follows: S41. Obtain water supply and drainage and equipment data and first optimization data in medical space in real time through Internet of Things technology; S42, inputting the acquired data into the central management platform; S43, performing preliminary processing on the acquired data through edge computing; S44, analyzing and predicting the initially processed data through big data analysis and AI technology to generate second optimized data; S45. The central management platform executes the second optimization data through remote control.

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