Virtual simulation method and system for medical internet of things

Abstract

The embodiment of the invention provides a virtual simulation method and system for a medical internet of things, and belongs to the technical field of medical information. The method comprises the steps of obtaining demand information of the medical Internet of Things; obtaining module configuration information; obtaining medical collection data according to the module configuration information and the demand information; obtaining analysis data according to the medical collection data; and completing virtual simulation according to the analysis data. The method can be applied to practical teaching of related courses such as the medical internet of things in colleges and universities, and the practical teaching quality of the medical internet of things can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of medical information, and in particular to a virtual simulation method and system for medical Internet of Things. Background Art

[0002] In the traditional teaching practice of medical Internet of Things, it is difficult for students to enter the hospital to contact the actual equipment and operating environment, and classroom practical teaching has problems such as limited equipment, high hardware equipment purchase cost, and complex wiring. The theory and practice are seriously separated, which is not conducive to the cultivation of engineering practice talents. In recent years, China has paid more and more attention to the construction of simulation experiment platforms. Simulation platforms play an important role in scientific research, education and training, and medical simulation. In recent years, my country's virtual simulation technology has made significant progress in some fields, and more and more enterprises and universities have invested more time and energy in building virtual simulation laboratories. However, most of them related to the Internet of Things are concentrated in smart cities, smart warehousing, environmental monitoring, smart homes, etc., and there are few virtual simulation platforms combined with the medical field. Summary of the invention

[0003] The main purpose of the embodiments of the present application is to provide a virtual simulation method and system for medical Internet of Things.

[0004] The technical solution adopted by the present invention is:

[0005] On the one hand, an embodiment of the present invention provides a virtual simulation method for medical Internet of Things, the method comprising the following steps:

[0006] Obtain demand information for the medical Internet of Things;

[0007] Get module configuration information;

[0008] Obtaining medical collection data according to the module configuration information and the demand information;

[0009] Obtaining analysis data according to the medical collection data;

[0010] Based on the analysis data, virtual simulation is completed.

[0011] Furthermore, obtaining the demand information of the medical Internet of Things includes the following steps:

[0012] Get the user's training information;

[0013] The training information includes patient health management, medical supplies management, and medical process management;

[0014] Obtain information on medical equipment needs;

[0015] The training information and the medical equipment demand information are used as demand information.

[0016] Furthermore, obtaining the medical collection data according to the module configuration information and the demand information comprises the following steps:

[0017] According to the demand information, obtain the medical indicators that need to be monitored and collected;

[0018] The medical indicators include body temperature and heart rate;

[0019] Medical collection data is obtained according to the module configuration information and the medical indicators.

[0020] Furthermore, obtaining analysis data according to the medical collection data comprises the following steps:

[0021] removing abnormal values ​​from the medical collected data to obtain first data;

[0022] Correcting the first data to obtain second data;

[0023] The second data is analyzed and identified to obtain analysis data.

[0024] Furthermore, completing the virtual simulation according to the analysis data comprises the following steps:

[0025] Performing visualization operation on the analysis data to obtain display data;

[0026] Get user operation information;

[0027] The user operation information and the display data are interactively verified to complete the virtual simulation.

[0028] On the other hand, an embodiment of the present invention further provides a virtual simulation system for medical Internet of Things, the system comprising:

[0029] The first module is used to obtain the demand information of medical Internet of Things;

[0030] The second module is used to obtain module configuration information;

[0031] A third module is used to obtain medical collection data according to the module configuration information and the demand information;

[0032] The fourth module is used to obtain analysis data based on the medical collection data;

[0033] The fifth module is used to complete the virtual simulation according to the analysis data.

[0034] Furthermore, the system further comprises:

[0035] The perception layer is used to develop and configure sensor modules;

[0036] Network layer, used to set up Wi-Fi and Bluetooth communication modules;

[0037] The processing layer is used to write programs to process data from the perception layer and perform data analysis and storage;

[0038] The application layer is used to design and execute the display and interaction of application programs and provide user operations and monitoring.

[0039] Furthermore, the system also includes a functional module;

[0040] The functional modules include a sensor module, an RFID module, a network layer communication module, and a simulator module;

[0041] The sensor module includes a temperature sensor, a humidity sensor, and a heart rate sensor.

[0042] On the other hand, an embodiment of the present invention also provides a device for virtual simulation of the medical Internet of Things, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for virtual simulation of the medical Internet of Things as described above when executing the computer program.

[0043] On the other hand, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the method described above.

[0044] The embodiments of the present application include at least the following beneficial effects: The present application provides a virtual simulation method and system for the medical Internet of Things. The present invention obtains the demand information of the medical Internet of Things; obtains the module configuration information; obtains the medical collection data according to the module configuration information and the demand information; obtains the analysis data according to the medical collection data; completes the virtual simulation according to the analysis data. The present invention can be applied to the practical teaching of relevant courses such as the medical Internet of Things in colleges and universities, and can improve the quality of practical teaching of the medical Internet of Things. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of a virtual simulation method for medical Internet of Things provided by an embodiment of the present invention;

[0046] Figure 2 It is an overall framework diagram of a virtual simulation system for medical Internet of Things provided by an embodiment of the present invention;

[0047] Figure 3It is a schematic diagram of simulation functions of a virtual simulation system for medical Internet of Things provided by an embodiment of the present invention;

[0048] Figure 4 is a flow chart of a virtual simulation process provided by an embodiment of the present invention;

[0049] Figure 5 is a flow chart of a virtual simulation process of intelligent drug distribution provided by an embodiment of the present invention;

[0050] Figure 6 It is a schematic diagram of part of the codes provided by the embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are only examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the attached claims.

[0052] It is understood that the terms "first", "second", etc. used in this application can be used to describe various concepts in this article, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another concept. For example, without departing from the scope of the embodiment of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination".

[0053] The terms "at least one", "multiple", "each", "any", etc. used in this application, at least one includes one, two or more, multiple includes two or more, each refers to each of the corresponding multiple, and any refers to any one of the multiple.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0055] Before describing the embodiments of the present application in detail, some nouns and terms involved in the embodiments of the present application are first described. The nouns and terms involved in the embodiments of the present application are subject to the following explanations.

[0056] 1) Internet of Medical Things: Internet of Medical Things (IoMT) connects medical staff, patients and medical equipment intelligently and conveniently through the Internet of Things and communication technologies, aiming to improve the efficiency of medical services and real-time monitoring of patient health, and better complete intelligent medical care and intelligent item management.

[0057] 2) Virtual simulation: Virtual simulation is a technology that uses a virtual system to imitate another real system. Virtual simulation technology can establish a virtual experimental environment according to user needs. In practical teaching, students can study and experiment in a virtual environment. This method not only improves students' learning enthusiasm, but also achieves better learning results. In the present invention, it mainly includes the simulation of various functional modules (such as Bluetooth, RFID, WiFi, simulator, etc.) and the simulation of patient data processing.

[0058] 3) RFID (Radio Frequency Identification) is a technology that uses radio waves to identify and track objects.

[0059] 4) BLE (Bluetooth Low Energy) is a low-power Bluetooth technology.

[0060] 5) ZigBee is a low-power, low-data-rate wireless network technology.

[0061] The present invention takes into account the following problems in the teaching practice of medical Internet of Things:

[0062] With the reform and promotion of online and offline hybrid teaching by the Ministry of Education, online theoretical teaching can make full use of existing software technology to realize video teaching interaction, while the practical link is limited by hardware conditions. There is a lack of online platforms that can provide theoretical learning related to the medical Internet of Things and realize the specific functions of each module, so it is difficult to carry out online practical teaching.

[0063] There are few combinations of related technologies with the medical field, and a series of IoT-related technologies and hardware such as sensors, RFID, the Internet, cloud computing, and artificial intelligence have not been integrated with technologies in the medical and health field.

[0064] The purpose of this invention is to design a virtual simulation platform that can be used for practical teaching of medical Internet of Things related courses. The platform has the following characteristics:

[0065] On the basis of the Internet of Things technology, wireless network devices such as Wi-Fi, BLE and ZigBee are integrated, medical equipment and sensor modules are interconnected, and a virtual environment with simulation functions is developed, which is closely related to smart medical care. On this platform, the hospital intelligent monitoring and management system based on the application of Internet of Things technology is simulated and designed, such as the virtual simulation of patient health management, medical supplies management, medical process management and other processes, and the virtual simulation of medical processes such as patient temperature monitoring, maternal and child entrance and exit identification, smart blood bank, hospital drug intelligent distribution, and ECG signal detection is realized to meet different learning and training needs.

[0066] At the same time, the platform can provide an online learning environment for students in medical schools. Through virtual experimental scenes, students can flexibly arrange their time and progress according to their needs and actual conditions. Through this platform, students can repeat operations and analyses, which can not only achieve the same effect as offline teaching, but also save experimental costs, reduce resource waste, and break through the limitations of traditional experimental teaching methods.

[0067] In addition to implementing the pure software virtual simulation process, the platform also writes code to communicate with the hardware module. After the hardware end is wirelessly networked, the hardware module is connected to the computer via a USB to serial port cable, and then the serial port configuration tool is used to configure the properties of the hardware module so that it can be connected to the virtual simulation platform, completing the communication and data exchange between the platform and the hardware module, and realizing the virtual-reality combination process with the actual hardware module.

[0068] In addition, the medical Internet of Things virtual simulation platform is also scalable. It can add new content based on existing functional modules, set the properties of the new modules, rewrite the relevant codes, establish connections between modules, and enable modules to form different combinations, thereby achieving the purpose of adding new functions to adapt to the continuous development and innovation in the medical field.

[0069] The embodiments of the present invention are further described below in conjunction with the accompanying drawings.

[0070] On the one hand, an embodiment of the present invention provides a virtual simulation method for medical Internet of Things, referring to Figure 1 , the method comprises the following steps:

[0071] S100, obtaining demand information of medical Internet of Things;

[0072] S200, obtaining module configuration information;

[0073] S300, obtaining medical collection data according to module configuration information and demand information;

[0074] S400, obtaining analysis data according to the medical collection data;

[0075] S500: completing virtual simulation according to the analysis data.

[0076] The embodiment of the present invention discloses step S100 of obtaining demand information of the medical Internet of Things, including the following steps:

[0077] S110, obtaining training information of the user;

[0078] S120, training information includes patient health management, medical supplies management, and medical process management;

[0079] S130, obtaining medical equipment demand information;

[0080] S140. Use training information and medical equipment demand information as demand information.

[0081] As an optional implementation, the present invention needs to obtain the user's training information. This step includes collecting specific needs and goals for training so as to tailor appropriate simulation scenarios and content for the user. User training information may include but is not limited to:

[0082] The specific topic or direction of the training (such as patient health management, medical supplies management, etc.);

[0083] The background and training goals of the participants (e.g., medical students, healthcare practitioners, etc.);

[0084] Required simulation functions and modules (such as heart rate monitoring, intelligent drug distribution, etc.).

[0085] According to the user's training needs, clarify the scope of training information. Common training information includes the following:

[0086] Patient health management: including monitoring and management of patients’ health parameters such as body temperature, heart rate, blood pressure, etc.

[0087] Medical supplies management: involves the procurement, inventory management, and distribution of medicines, medical devices, and other supplies.

[0088] Medical process management: including patient consultation process, treatment process, data recording and analysis, etc.

[0089] In the step S130 of obtaining medical equipment requirement information in the embodiment of the present invention, the medical equipment and sensor modules that need to be simulated are determined, which includes obtaining detailed information about the required equipment, such as type, specification, function and configuration requirements.

[0090] Medical equipment demand information: including temperature sensors, heart rate monitors, RFID readers, etc.

[0091] Determine the connection method and data exchange requirements between devices.

[0092] In the present invention, S140 integrates the user training information and medical equipment demand information collected in steps S110 and S130 to form complete demand information. The goal of this stage is to clarify all functions and equipment that the simulation platform needs to support.

[0093] The embodiment of the present invention discloses that step S300 obtains medical collection data according to module configuration information and demand information, including the following steps:

[0094] S310, obtaining medical indicators that need to be monitored and collected according to the demand information;

[0095] S320, medical indicators include body temperature and heart rate;

[0096] S330. Obtain medical collection data according to module configuration information and medical indicators.

[0097] Step S310 of the embodiment of the present invention determines the specific medical indicators that need to be monitored and collected based on the collected demand information. These indicators will serve as the core data points of the simulation platform. The implementation methods include:

[0098] Extract key medical indicators from demand information, such as body temperature, heart rate, blood pressure, etc.

[0099] List all the data types that need to be collected and their standard ranges and units.

[0100] Step S320 of the embodiment of the present invention specifies the specific medical indicators that need to be monitored. In this step, the main medical indicators are determined:

[0101] Body temperature: monitor the patient's body temperature changes.

[0102] Heart Rate: Monitors the patient's heart rate.

[0103] Step S330 of the embodiment of the present invention generates actual medical collection data according to the configuration information of the module (such as sensor settings, sampling frequency, etc.) and the medical indicators to be monitored. These data will be used for subsequent analysis and processing. The implementation methods include:

[0104] Set the parameters and configuration of the sensor module.

[0105] Collect and store raw data obtained from sensors.

[0106] The embodiment of the present invention discloses that step S400 obtains analysis data based on medical collection data, including the following steps:

[0107] S410, removing abnormal values ​​from the medical collection data to obtain first data;

[0108] S420, correcting the first data to obtain second data;

[0109] S430: Analyze and identify the second data to obtain analysis data.

[0110] After data collection, S410 of the embodiment of the present invention needs to clean the data to remove abnormal values ​​(such as errors, noise, etc.) to obtain data of the first stage. This is a preliminary step of data processing.

[0111] In step S420, the cleaned data is corrected to correct possible systematic deviations and obtain the data of the second stage. This step is intended to improve the accuracy and consistency of the data. The implementation methods include:

[0112] Adjust the data using a correction algorithm or normalization method.

[0113] Verify that the corrected data meets the expected standards.

[0114] In step S430, the corrected data is deeply analyzed and identified to obtain analysis results. These analysis results will be used for display and decision support. The embodiment of the present invention applies data analysis technology (such as statistical analysis, machine learning, etc.) to process the data and generate analysis reports and identification results.

[0115] The embodiment of the present invention discloses that step S500 completes virtual simulation according to the analysis data, including the following steps:

[0116] S510, performing visualization operation on the analysis data to obtain display data;

[0117] S520, obtaining user operation information;

[0118] S530: Interactively verify the user operation information and display data to complete the virtual simulation.

[0119] In the embodiment S510 of the present invention, the analysis results are displayed to the user through visualization means for easy understanding and analysis, including display in the form of charts, dashboards, reports, etc. The present invention uses data visualization tools or platforms to create charts and reports to ensure that the displayed data is clear and easy to understand.

[0120] S520 of the embodiment of the present invention collects the user's operation information on the virtual simulation platform. This includes the user's interactive operation, adjustment settings, input data, etc. Design a user operation interface and record each user's operation. Collect and store the user's operation data for subsequent analysis and verification.

[0121] S530 of the embodiment of the present invention interactively verifies the user operation information and the display data to ensure that the virtual simulation platform can generate correct simulation results according to the user's input and operation. The present invention can verify whether the user operation can correctly affect the simulation result. It ensures that the platform can respond to the user's operation in real time and complete the virtual simulation task.

[0122] On the other hand, an embodiment of the present invention further provides a virtual simulation system for medical Internet of Things, the system comprising:

[0123] The first module is used to obtain the demand information of medical Internet of Things;

[0124] The second module is used to obtain module configuration information;

[0125] The third module is used to obtain medical collection data according to module configuration information and demand information;

[0126] The fourth module is used to obtain analytical data based on medical collection data;

[0127] The fifth module is used to complete virtual simulation based on the analysis data.

[0128] The virtual simulation system for medical Internet of Things provided by the embodiment of the present invention also includes:

[0129] The perception layer is used to develop and configure sensor modules;

[0130] Network layer, used to set up Wi-Fi and Bluetooth communication modules;

[0131] The processing layer is used to write programs to process data from the perception layer and perform data analysis and storage;

[0132] The application layer is used to design and execute the display and interaction of application programs and provide user operations and monitoring.

[0133] The virtual simulation system for medical Internet of Things provided by the embodiment of the present invention also includes a functional module;

[0134] Functional modules include sensor module, RFID module, network layer communication module, and simulator module;

[0135] The sensor module includes a temperature sensor, a humidity sensor, and a heart rate sensor.

[0136] As an optional implementation mode, the specific implementation process of the present invention is as follows:

[0137] The Internet of Things is a system that connects objects to achieve the purpose of transmitting information and exchanging data. Taking the home Internet of Things as an example, data is collected through sensors, then transmitted through gateways, and finally displayed through user terminals. The overall architecture of the medical Internet of Things virtual simulation platform designed by the present invention is built based on the Internet of Things architecture, mainly composed of a perception layer, a network layer, a processing layer, and an application layer. The virtual simulation process of each functional module is carried out from these levels.

[0138] The simulation of the perception layer is to collect information and data within a certain distance and range through modules such as RFID and sensors, so as to realize the collaborative perception of medical equipment and wearable sensors on the human body; the simulation of the network layer is to transmit the acquired data to the processing layer through Wi-Fi and Bluetooth wirelessly; the simulation of the processing layer is to process, analyze, and store data from user input or data transmitted by the network layer; the simulation of the application layer is to implement specific applications through the operation of the platform function software on the processed data, directly interact with users, and realize the corresponding medical scene simulation function. The overall framework diagram is as follows Figure 2 shown.

[0139] The platform uses a wide variety of functional modules, including sensor modules, RFID modules, network layer communication modules (Wi-Fi configuration modules, Bluetooth configuration modules), simulator modules, etc. Sensor modules mainly include temperature sensors, humidity sensors, heart rate sensors, etc., which are used to simulate the monitoring of physiological parameters. In the platform simulation process, taking the temperature sensor as an example, it is necessary to simulate the temperature data collected by the temperature sensor, and the simulated data should have a certain degree of authenticity and reflect the temperature changes that may occur during the actual monitoring process. Users can interact with the simulation platform to operate and monitor static temperature sensors, including setting sensor parameters, adjusting temperature conditions in the simulation environment, and observing changes in sensor data.

[0140] RFID is a contactless automatic identification technology. The RFID system is mainly composed of three parts: reader, electronic tag and application software system. The platform simulates the three parts of the RFID system, combines the working principle of tag identification and the working frequency of the tag, and realizes the simulation identification of three frequency bands: low frequency, high frequency and ultra-high frequency. When the RFID tag and the card reader are paired, the simulation platform can obtain the ID number of the tag, and can also configure the properties and parameters of the RFID tag, read and set the data in the tag. In addition to the basic RFID tag reading and writing functions, the platform has designed some RFID application cases for medical scenarios, such as the simulation of maternal and child identity identification, medical staff clocking in, and drug management. Wireless communication between RFID tags of different frequencies and card readers is used to transmit the tag information obtained by the card reader to the background function software for intelligent processing and analysis.

[0141] The network layer of the simulation platform mainly simulates Bluetooth and Wi-Fi communication protocols. By simulating the working mechanism and communication process of these communication protocols, users can understand the data transmission method, communication rules and data format between different modules. In addition, the platform can also simulate the network topology between modules, including the connection method, layout location, number of network nodes and connection relationship between different modules, which helps users understand the communication path and network topology between modules in the medical Internet of Things.

[0142] In the virtual simulation platform of medical Internet of Things, the simulator is used to simulate the changes of parameters sensed by the sensor, and is connected to the sensor module through nodes to display the dynamic data obtained by the sensor. The simulators designed by the simulation platform mainly include temperature simulators, humidity simulators, human body simulators, etc. For example, during the simulation process of patient temperature monitoring, the temperature simulator can be connected to the temperature sensor node to simulate and display the changes in human body temperature; the humidity simulator can be used to simulate the humidity level in the ward and the environment with different humidity levels. By adjusting the settings, a suitable humidity environment can be simulated to keep the patient in a comfortable range; during the simulation process of counting the flow of people at the hospital entrance, the human body simulator can be connected to the human body sensing node to display the flow of people data in real time.

[0143] Step 1: Reference Figure 3 ,The platform utilizes the above functional modules and framework to implement simulation ,functions including patient health management, medical supplies management, medical ,process management and other IoT applications.

[0144] Step 2: Reference Figure 4 , a flowchart of the virtual simulation process is realized.

[0145] The virtual simulation platform of the medical Internet of Things can realize the application of multiple medical processes mentioned in step 1. At the same time, it can also add new functional modules based on the existing templates according to needs, and modify and test the virtual simulation platform according to actual conditions, so as to achieve the purpose of adding new functions to the virtual simulation platform of the medical Internet of Things. On the platform, different modules are connected through node settings, and the modules are linked together by setting the port number, frequency band of the IP address, baud rate, etc., so as to realize the function of virtual simulation. The following is a further introduction to the platform's realization of virtual simulation function with a case:

[0146] Case: Intelligent distribution of hospital medicines

[0147] The virtual simulation process of intelligent drug distribution is to simulate the intelligent management process of drugs in the hospital through the platform, involving multiple key links, mainly including drug inventory management, doctor diagnosis, pharmacy dispensing, patient information verification and drug distribution. The drug inventory management simulation mainly simulates the automatic identification and information entry of drugs, drug entry and exit, and drug quality control. The doctor diagnosis simulation is that the doctor uses the simulation platform to prescribe during the diagnosis and treatment process, and records patient information, diagnosis results, and medication information. The pharmacy prepares the corresponding number of drugs according to the doctor's prescription, packages the drugs and labels them. The labels contain drug information, patient information and medication instructions. When the patient goes to the ward to pick up the medicine, the staff verifies the patient's identity through the information stored in the database, and distributes the drugs to the patient after verification, realizing the virtual simulation process of the medical Internet of Things virtual simulation platform in the intelligent distribution of drugs in the hospital. The flow chart is as follows Figure 5 .

[0148] like Figure 5 As shown in the figure, when the tag and the corresponding card reader are first identified, the drug-related information is entered. If the entered drug is not within the shelf life, the drug is expired, the buzzer sounds an alarm, and the expired drug entry fails. If the drug is not expired, the relevant information of the drug is saved in the tag, and the drug is successfully put into storage; at the same time, the human body simulator is used to simulate the doctor's diagnosis process when it is close to the identity recognition machine for the first time. The doctor fills in the patient information, diagnosis information and medication information on the platform and stores this part of the content in the database. When the pharmacy recognizes the human body simulator again, it reads the prescription information from the database, confirms the patient's identity, and distributes the medicine required by the patient after confirmation. The drug is successfully shipped out, and the inventory of the drug is reduced; when the inventory is less than a certain value set, the platform issues a warning to prompt the replenishment of the drug, and automatically generates a drug replenishment order. After entering the replenishment quantity and selecting the corresponding supplier, the automatically generated order can be stored in the database for use. Through this process, it can ensure that the drug can be correctly distributed to the corresponding patient and ensure the safety of drug use.

[0149] In this process, multiple modules are involved, including power supply, Wi-Fi wireless router, Android tablet, UHF RFID reader, UHF RFID tag, human simulator, human identity recognition, etc. Through the collaboration of these modules, the simulation and monitoring of the intelligent drug distribution management process is realized, providing important support for improving the efficiency and quality of hospital drug management.

[0150] Analyzing from the four-layer architecture of the Internet of Things, the simulation of the perception layer is to simulate the entry and reading of drug information by moving the UHF RFID tag attached to the drug to contact the UHF RFID reader; the simulation of the drug outbound function is realized by moving the tag out of the recognition range of the reader; the simulation of the network layer is to set the IP network segment of the perception layer hardware module to the same network segment as the Wi-Fi by setting the properties of the Wi-Fi module, and to simulate the network connection process by displaying the communication connection; the simulation of the processing layer is to transfer the drug information obtained from the tag to the background database for storage; the simulation of the application layer is to perform functional testing by running the program, and realize the simulation of various functions on the platform, including drug information entry, entry and exit, expiration reminder, inventory quantity monitoring, automatic generation of replenishment orders, patient identity recognition and drug distribution.

[0151] Some codes such as Figure 6 shown.

[0152] The experimental teaching platform of the present invention is based on the simulation of the four-layer architecture of the Internet of Things, and is extended to the medical scene. Through the perception and communication technology of the Internet of Things, the corresponding modules of each layer are designed, and combined with the application of the medical industry to realize the simulated interaction between medical staff, patients and medical equipment in the virtual medical network environment, and through a series of simulation experiments such as patient temperature monitoring, mother and baby entrance and exit identity recognition, and hospital drug intelligent distribution, the effectiveness and feasibility of the platform are verified. The platform can not only realize the virtual simulation function of pure software, but also connect with external hardware devices through interface programming to realize the virtual and real combination process of the virtual environment and the actual hardware part. At the same time, this platform is applied to the practical teaching of relevant courses such as the medical Internet of Things in colleges and universities, with the goal of cultivating students' autonomous learning, engineering practice, and innovation ability, greatly improving the quality of practical teaching of the medical Internet of Things, and helping to cultivate high-quality smart medical talents.

[0153] Features of the present invention:

[0154] 1. The platform combines IoT technology with medical processes, and simulates and designs hospital intelligent monitoring and management systems based on IoT technology applications on the platform, including virtual simulations of patient health management, medical supplies management, medical process management, and other processes related to smart medical care. The platform is also scalable and can combine multiple functional modules according to actual needs, reprogram the code, and achieve different functions.

[0155] 2. This platform can be applied to the teaching experiments of medical Internet of Things related courses in colleges and universities. Under certain circumstances, it can replace the traditional experimental teaching mode, break through the limitations of time, space, hardware, and venue, make the teaching process more convenient, and provide new possibilities for teaching and research in the field of medical Internet of Things.

[0156] Compared with the related art, the advantages of the present invention are:

[0157] Combined with medical content: This virtual simulation platform combines the Internet of Things with the medical process, filling the gap in the medical field where domestic virtual simulation platforms related to the Internet of Things are mainly concentrated in the fields of smart home, warehousing and logistics, environmental monitoring, etc.

[0158] The platform is easy to implement and expandable: according to actual needs, new content is added to the existing functional modules, the properties of the new modules are set, and the connections between modules are established so that the modules can form different combinations to achieve the purpose of adding new functions to adapt to the continuous development and innovation of the Medical Internet of Things.

[0159] Combination of virtual and real: The virtual simulation platform is combined with the actual hardware module through the interface, which not only reduces the difficulty of the pure hardware operation process and reduces the experimental failure caused by poor hardware contact, but also allows repeated experiments on the platform to reduce resource waste and solve the problem of pure software simulation without sufficient understanding of the hardware module.

[0160] Teaching practice application: Apply this platform to the teaching experiment process of medical Internet of Things and other related courses in colleges and universities, provide students with a simulation process of operating patients in a virtual environment, break the limitations of time and space, make the teaching process more convenient, and provide new possibilities for teaching and research in the field of medical Internet of Things, so that students can give full play to their initiative and consciousness, and save experimental costs and reduce resource waste while repeatedly conducting practical training.

[0161] On the other hand, an embodiment of the present invention also provides a device for virtual simulation of the medical Internet of Things, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for virtual simulation of the medical Internet of Things as described above is implemented.

[0162] The device for virtual simulation of medical Internet of Things according to an embodiment of the present invention includes a memory and a processor.

[0163] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0164] The memory may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage. Among them, ROM can store static data or instructions required by the processor or other modules of the computer. The permanent storage device may be a readable and writable storage device. The permanent storage device may be a non-volatile storage device that does not lose the stored instructions and data even after the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In some other embodiments, the permanent storage device may be a removable storage device (such as a floppy disk, optical drive). The system memory may be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory may store some or all instructions and data required by the processor at run time. In addition, the memory may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory may include a readable and / or writable removable storage device, such as a laser disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, double-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, mini SD card, Micro-SD card, etc.), a magnetic floppy disk, etc. The computer-readable storage medium does not include carrier waves and transient electronic signals transmitted wirelessly or wired.

[0165] The memory stores executable codes, and when the executable codes are processed by the processor, the processor can execute part or all of the methods described above.

[0166] On the other hand, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the above method.

[0167] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0168] The preferred embodiments of the present application are described above with reference to the accompanying drawings, but the scope of the rights of the present application is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present application should be within the scope of the rights of the present application.

Claims

1. A virtual simulation method for medical Internet of Things, characterized in that: The method comprises the following steps: Obtain demand information for the medical Internet of Things; Get module configuration information; Obtaining medical collection data according to the module configuration information and the demand information; Obtaining analysis data according to the medical collection data; According to the analysis data, virtual simulation is completed.

2. The method according to claim 1, characterized in that The step of obtaining the demand information of the medical Internet of Things includes the following steps: Obtain training information for users; The training information includes patient health management, medical supplies management, and medical process management; Obtain information on medical equipment needs; The training information and the medical equipment demand information are used as demand information.

3. The method according to claim 1, characterized in that The obtaining of medical collection data according to the module configuration information and the demand information comprises the following steps: According to the demand information, obtain the medical indicators that need to be monitored and collected; The medical indicators include body temperature and heart rate; Medical collection data is obtained according to the module configuration information and the medical indicators.

4. The method according to claim 1, characterized in that: The step of obtaining analysis data based on the medical collection data comprises the following steps: removing abnormal values ​​from the medical collected data to obtain first data; Correcting the first data to obtain second data; The second data is analyzed and identified to obtain analysis data.

5. The method according to claim 1, characterized in that The virtual simulation is completed according to the analysis data, comprising the following steps: Performing visualization operation on the analysis data to obtain display data; Get user operation information; The user operation information and the display data are interactively verified to complete the virtual simulation.

6. A virtual simulation system for medical Internet of Things, characterized in that: The system comprises: The first module is used to obtain the demand information of medical Internet of Things; The second module is used to obtain module configuration information; A third module is used to obtain medical collection data according to the module configuration information and the demand information; The fourth module is used to obtain analysis data based on the medical collection data; The fifth module is used to complete the virtual simulation according to the analysis data.

7. The system according to claim 6, characterized in that The system further comprises: The perception layer is used to develop and configure sensor modules; Network layer, used to set up Wi-Fi and Bluetooth communication modules; The processing layer is used to write programs to process data from the perception layer and perform data analysis and storage; The application layer is used to design and execute the display and interaction of application programs and provide user operations and monitoring.

8. The system according to claim 6, characterized in that The system also includes a functional module; The functional modules include a sensor module, an RFID module, a network layer communication module, and a simulator module; The sensor module includes a temperature sensor, a humidity sensor, and a heart rate sensor.

9. A device for virtual simulation of medical Internet of Things, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for virtual simulation of medical Internet of Things as described in any one of claims 1 to 5 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the method according to any one of claims 1 to 5.

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