Medical instrument monitoring system and method based on Internet of Things and three-dimensional GIS technology

Abstract

The invention provides a medical instrument monitoring system based on the Internet of Things and a three-dimensional GIS technology, and the system comprises a reading module which automatically collects three data sources through an Internet of Things platform, i.e., a running log, a work log and real-time running data; the visual processing module is used for analyzing the running log and the work log to generate a visual chart and a report; the construction module is used for constructing a virtual model of the equipment according to the operation log, the work log and the real-time operation data, and simulating the operation process and the operation state of the equipment; the fault diagnosis module is used for generating diagnosis data by comparing the operation log, a preset standard state and the real-time operation data; the repair suggestion module is used for analyzing the fault mode of the equipment according to the diagnosis data of the fault diagnosis module in combination with the operation log and the work log of the equipment, and generating a specific repair suggestion; convenience is brought to maintenance of the medical equipment, the rejection rate is reduced, and the medical cost of a user is saved.

Description

Technical Field

[0001] The present application relates to the field of medical device technology, and in particular to a medical device monitoring system and method based on the Internet of Things and three-dimensional GIS technology. Background Art

[0002] In modern healthcare, the widespread use of medical devices has played a significant role in improving the efficiency and accuracy of diagnosis and treatment. However, as the number and complexity of medical devices increase, effective management and monitoring of these devices has become a pressing issue. The operational status of medical devices is directly related to patient treatment outcomes. Therefore, real-time monitoring of device health, timely detection of potential failures, and provision of accurate maintenance and repair recommendations have become key priorities for medical institutions.

[0003] Traditional medical device monitoring methods typically rely on manual inspection and maintenance, relying on the experience of equipment operators and technicians. However, this approach has the following problems:

[0004] 1. Data collection is not timely and comprehensive: Traditional manual monitoring methods make it difficult to obtain real-time and comprehensive operating data of medical equipment. Especially when there are a large number of devices and they are widely distributed, manual inspection is time-consuming and prone to errors.

[0005] 2. Delayed fault detection and repair: After a device fails, manual inspection is usually required to discover the problem, and the repair plan often relies on the experience of the maintenance personnel, resulting in delayed fault detection and repair, affecting the normal use of the equipment.

[0006] 3. Complexity in equipment management: Medical devices have a long lifecycle, and managing the entire process from procurement, installation, operation, maintenance, to disposal is extremely complex. The lack of a unified management approach can easily lead to unclear equipment status, incomplete maintenance records, and even delayed repairs after equipment failures.

[0007] The emergence of the Internet of Things (IoT) offers new solutions to these problems. Through the IoT platform, the operating status of medical equipment can be collected, uploaded, and analyzed in real time, providing comprehensive data support for the management of the equipment throughout its lifecycle. Furthermore, the introduction of 3D GIS (Geographic Information System) technology allows for intuitive display of a device's location, operating status, and fault information in three dimensions, enhancing the visualization of equipment management.

[0008] It is against this backdrop that this paper proposes a medical device monitoring system that combines the Internet of Things (IoT) and 3D GIS technologies. Through automated data collection, real-time fault detection and diagnosis, intuitive 3D visualization, and intelligent repair suggestion generation, this system effectively addresses existing challenges such as difficult medical device management, delayed monitoring, and untimely fault resolution. This system enhances the intelligence of device management and ensures efficient operation of medical equipment. Summary of the Invention

[0009] The embodiments of the present invention provide a medical device monitoring system, method and apparatus based on the Internet of Things and three-dimensional GIS technology, which can solve the above-mentioned problems in the prior art.

[0010] The present invention provides a medical device monitoring system based on the Internet of Things and three-dimensional GIS technology, comprising:

[0011] The reading module automatically collects three data sources through the IoT platform, namely operation logs, work logs, and real-time operation data;

[0012] Visual processing module, which generates visual charts and reports by analyzing operation logs and work logs;

[0013] The construction module builds a virtual model of the equipment based on the operation log, work log and real-time operation data to simulate the operation process and operation status of the equipment;

[0014] The 3D GIS display module obtains equipment operation data from the IoT platform in real time and displays the equipment's geographic location, current operating status, and historical fault records on a 3D GIS map. It also dynamically interacts with the building module, combining operation logs and work logs to display the equipment's operation process and spatial distribution.

[0015] The fault diagnosis module automatically identifies anomalies and fault points by comparing operation logs, preset standard states, and real-time operation data, locates the source of the fault, and generates diagnostic data;

[0016] The fault visualization display module generates a three-dimensional virtual model based on the diagnostic data of the fault diagnosis module, as well as the equipment's operation log and real-time operation data. It dynamically displays the fault point and the internal operation status of the equipment, providing an intuitive fault visualization display.

[0017] The repair suggestion module analyzes the equipment's failure mode based on the diagnostic data from the fault diagnosis module and combines it with the equipment's operation log and work log, generates specific repair suggestions, and dynamically displays the repair steps on the 3D GIS platform.

[0018] The equipment lifecycle management module uses IoT technology to track equipment operation logs, work logs, and operating data, recording the entire process from procurement to scrapping, including equipment maintenance, fault repair, and parts replacement;

[0019] The dynamic equipment health status assessment module collects equipment operation data in real time, combines it with the historical data of the equipment operation log, and dynamically scores the health status of the equipment through the analysis submodule set within it to generate a health report.

[0020] Furthermore, the fault visualization display module searches for log segments related to the fault point in the work log and highlights them, imports the highlighted log segments into the virtual device, and generates a virtual work process; dynamically displays the work process of the target mechanism corresponding to the fault point in the virtual device; the work process includes the number of times the user operates the device function keys, the order of operations, and the results of the corresponding feedback from the device.

[0021] Furthermore, the repair suggestion module compares the action logic of the target mechanism, locates the target log segment, and displays the specific repair method; the repair methods include software repair and hardware repair; among them, the software repair method is that the fault type is a software fault, the error code is compared with the source code of the software to determine the fault code area, a replacement code is generated, and the replacement code is imported into the virtual device to replace the error code, and the operating status of the target mechanism is detected to determine whether the repair is completed; the hardware repair method is that the fault type is a hardware fault, the target mechanism is controlled to act step by step according to the preset logic, the specific faulty hardware is determined based on whether the action can be completed, and the faulty component in the target mechanism is determined based on the faulty hardware.

[0022] Furthermore, the software repair includes: if the fault type is a software fault, comparing the error code with the source code of the software to determine the fault code area, generating a replacement code, importing the replacement code into a virtual device to replace the error code, and detecting the operating status of the target mechanism to determine whether the repair is complete;

[0023] Hardware repair includes: if the fault type is hardware fault, control the target mechanism to move step by step according to the preset logic, determine the specific faulty hardware based on whether the action can be completed, and determine the faulty component in the target mechanism based on the faulty hardware.

[0024] Furthermore, the reading module automatically obtains operation logs, work logs and real-time operation data from medical devices through sensor installation, device network connection, data collection and upload, and management and monitoring of the Internet of Things platform.

[0025] Furthermore, the analysis submodule includes:

[0026] Data acquisition submodule, collects real-time data and historical operation data of equipment;

[0027] The data processing submodule is responsible for data preprocessing, cleaning and normalization, and also sorting the data by time to facilitate accurate comparison and analysis of real-time data and historical data.

[0028] The data analysis submodule continuously monitors the real-time data of the equipment and checks whether the various operating parameters of the equipment are within the set safety range; compares the real-time data with the historical data of the equipment (operation log and work log) to detect whether the parameter changes of the equipment exceed the normal range and determine whether there are potential faults; sets several key health indicators (such as temperature fluctuations and vibration frequency of the equipment), which serve as an important basis for equipment health scoring

[0029] The health scoring submodule calculates the health score of the device based on the weight distribution of key indicators; the scoring results are divided into "normal", "warning", "maintenance required" and other states. The scoring algorithm uses the formula:

[0030] Health score = 100-Σ(deviation of each indicator × its weight)

[0031] Furthermore, the method further includes: displaying the removal process and installation process of the failed component in the virtual device;

[0032] Check whether the replaced parts are installed successfully. If the installation is unsuccessful, the wrong installation position will be displayed.

[0033] Furthermore, it also includes a device monitoring client, which is configured to: limit user access rights, control medical device operation, remind fault types, monitor repair processes, and the device monitoring client is connected to medical device signals.

[0034] Furthermore, the device monitors the client storage module and the NFC identification module. The storage module is configured to store user information and medical device operation information; the NFC identification module is configured to identify and turn on the medical device within a preset distance from the medical device.

[0035] Furthermore, a medical device monitoring system based on the Internet of Things and three-dimensional GIS technology includes a memory and a processor, and the processor is used to implement the steps of the medical device monitoring system based on the Internet of Things and three-dimensional GIS technology when executing the computer management program stored in the memory.

[0036] The beneficial effects of the present invention are:

[0037] The present invention combines the Internet of Things and three-dimensional GIS technology to provide an intelligent and visual medical device monitoring system with the following beneficial effects:

[0038] Real-time monitoring and fault warning: This system collects the operation logs, work logs and real-time operation data of medical devices in real time through the Internet of Things platform. It can promptly detect abnormalities or potential faults of equipment, quickly locate and diagnose faults, avoid delays in medical operations due to faults, and improve the operating efficiency and safety of medical equipment.

[0039] Intuitive visualization of faults: Using 3D GIS technology, the equipment's operating status, geographic location, and fault points can be intuitively displayed on a 3D map. The system also generates a 3D virtual model of the equipment, dynamically simulating its operation and fault conditions. This allows maintenance personnel to more intuitively understand the equipment's internal operating conditions and the specific location of faults, improving troubleshooting efficiency.

[0040] Automated repair suggestion generation: Based on the device's operational data and historical logs, the system uses intelligent analysis modules to identify device failure modes and generate specific repair suggestions, covering both software and hardware repairs. This makes equipment maintenance more efficient and reduces the limitations of maintenance personnel's reliance on experience.

[0041] Equipment Lifecycle Management: The system manages the entire lifecycle of medical equipment, maintaining comprehensive records of the entire process from procurement, installation, operation, maintenance, to retirement. By accumulating and analyzing historical equipment data, we can optimize equipment maintenance cycles, extend its service life, and reduce maintenance costs.

[0042] Dynamic health status assessment: By continuously monitoring real-time device operating data and combining it with historical operating logs, the system dynamically scores the device's health status and generates a health report. Device status is categorized as "normal," "warning," and "maintenance required," helping medical institutions take proactive maintenance measures to prevent unexpected equipment failures.

[0043] Enhanced user management and security controls: The device monitoring client limits user permissions and monitors device health and repair progress, ensuring only authorized users can operate the device, enhancing device security. Furthermore, the NFC recognition module further enhances device security, ensuring only users within a preset range can access the device, effectively preventing misuse or misuse.

[0044] Efficient equipment maintenance process display: Through the virtual equipment module, the system can dynamically display the removal and installation process of faulty equipment parts, guide maintenance personnel to perform the correct operating steps, and verify the maintenance results to ensure the accuracy and efficiency of the repair work.

[0045] Through the comprehensive application of the Internet of Things, big data analysis and three-dimensional visualization technology, this invention greatly improves the intelligence and automation level of medical device management, reduces manual operation errors and maintenance time costs, and provides medical institutions with a safe and reliable equipment monitoring and maintenance solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of a medical device monitoring system based on the Internet of Things and three-dimensional GIS technology provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0047] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention, with reference to the accompanying drawings. Furthermore, the phrases "in one embodiment" or "in an embodiment" appearing throughout this specification do not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0048] It should also be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity from another, and do not necessarily require or imply any actual relationship or order between these entities. Moreover, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that an article or terminal device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such article or terminal device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the article or terminal device comprising the element.

[0049] The development of science and technology has brought a lot of convenience to the medical industry. Medical devices can be used to visualize some lesions. Doctors can obtain information such as the patient's specific pathological location and disease progression by operating medical devices. However, during the use of medical devices, the medical devices may not be used normally due to improper human operation or the internal program logic of the device itself. The operator can only return the device to the factory for inspection and repair. When returning the device to the factory for inspection and repair, the maintenance personnel are unable to determine the specific cause of the device's failure and how to resolve the failure. When the inspection and repair encounter difficulties, most equipment will be directly scrapped. The more scrapped equipment is, the higher the quotation of the corresponding equipment is, and ultimately the patient's examination cost is higher. Therefore, the present invention proposes a method for visually monitoring medical devices based on the Internet of Things, so that its failure can be resolved to reduce the scrap rate of medical devices, and then reduce the patient's medical costs.

[0050] Reference Figure 1As shown, the present invention provides a medical device monitoring system, method and device based on the Internet of Things and three-dimensional GIS technology.

[0051] In the first aspect, the present invention provides a medical device monitoring system based on the Internet of Things and three-dimensional GIS technology, including: a reading module that automatically collects three data sources through the Internet of Things platform, namely, operation logs, work logs and real-time operation data; the reading module automatically obtains operation logs, work logs and real-time operation data from medical equipment through sensor installation, device network connection, data collection and upload, and management and monitoring of the Internet of Things platform.

[0052] To facilitate understanding, let's consider a hospital using advanced medical monitoring equipment. This equipment monitors multiple parameters, including heart rate, blood pressure, and blood oxygen levels, and is connected to an IoT platform. The hospital wants to use the monitoring system to manage and maintain the equipment in real time.

[0053] 1. Sensor installation

[0054] Key components of the monitoring device, such as internal temperature sensors, vibration sensors, and ECG data sensors, are pre-installed. These sensors can monitor the device's operating status and monitoring data, and generate corresponding log information.

[0055] 2. Device network connection

[0056] Monitoring devices are connected to the hospital's IoT platform via a wired or wireless network (such as Wi-Fi or 4G / 5G). This connection enables the devices to upload operating data, work logs, and other information to the cloud in real time for the monitoring system to read and process.

[0057] 3. Data Collection

[0058] The reading module is responsible for collecting data from the IoT platform, as follows:

[0059] Operation log: This log records device operation information such as startup, shutdown, restart time, and operation mode switching. For example, each time a device starts a new monitoring task or stops monitoring, a corresponding log record will be generated.

[0060] Work log: The work log mainly records the use of the equipment by the operator, such as buttons pressed, equipment setting changes, maintenance or calibration processes, etc. This log is closely related to the operator's behavior.

[0061] Real-time operating data: Through the device's internal sensors, the reading module can collect real-time operating parameters of the device, including temperature, vibration frequency, voltage status, and other data. At the same time, the patient's heart rate, blood pressure, and other data monitored by the monitoring device are also uploaded in real time.

[0062] 4. Upload data to the IoT platform

[0063] The device's operation log, work log, and real-time operating data are automatically uploaded to the cloud via the IoT platform management system. Data is transmitted through an encrypted channel to ensure data security and privacy protection.

[0064] 5. IoT platform management and monitoring

[0065] The IoT platform manages all connected medical devices, including monitoring devices, in real time. The reading module communicates with the IoT platform through a standard API interface to obtain the following data:

[0066] Obtaining operation logs from the platform: The reading module retrieves the monitoring device's operation logs from the IoT platform through scheduled queries or event-driven methods. For example, each time a device is powered on or off, a log is generated. The reading module captures this log from the IoT platform and saves it to the local system.

[0067] Obtaining work logs from the platform: The reading module can capture the specific operations performed by the operator in the work log based on the timestamp of the device operation. For example, when the operator adjusts the device parameter settings, the system records the operation steps and time, and the reading module obtains these operation records from the IoT platform.

[0068] Real-time operational data acquisition: Sensor-monitored data (such as internal device temperature, voltage, and current) is uploaded to the IoT platform in real time. The reader module acquires this real-time data through an interface at regular intervals (e.g., every 5 seconds) and displays it to device managers or for data analysis.

[0069] 6. Data analysis and storage

[0070] After the reading module obtains the above three types of data from the IoT platform, it will parse the data into a usable format and store it in the local database for use by the visualization processing module and the fault diagnosis module. For example:

[0071] Operation log: The parsed log information shows the status changes of the device at different time points, such as "The device started at 10:00 AM and shut down at 12:00 PM."

[0072] Work log: Log records show that the operator pressed certain buttons, adjusted equipment parameters, or performed calibration work.

[0073] Real-time data: The reading module displays the current operating status of the device, such as internal temperature, ECG monitoring data, etc.

[0074] 7. Practical Application

[0075] The reading module automatically collects data from the device to the IoT platform and then to the local system. This data is used for device status monitoring, fault diagnosis, and maintenance management. For example, if a device's operating temperature exceeds the normal range, the fault diagnosis module can issue an early warning based on real-time data, prompting maintenance personnel to inspect the device.

[0076] Therefore, in this embodiment, the reading module automatically retrieves the medical monitoring device's operation log, work log, and real-time data from the IoT platform through the device's network connection and sensor monitoring. This ensures that device managers can always understand the device's operating status and proactively perform maintenance. This approach not only improves device management efficiency but also reduces the risk of device failure through automated monitoring.

[0077] Visual processing module, which generates visual charts and reports by analyzing operation logs and work logs;

[0078] The construction module builds a virtual model of the equipment based on the operation log, work log and real-time operation data to simulate the operation process and operation status of the equipment;

[0079] The 3D GIS display module obtains equipment operation data from the IoT platform in real time and displays the equipment's geographic location, current operating status, and historical fault records on a 3D GIS map. It also dynamically interacts with the building module, combining operation logs and work logs to display the equipment's operation process and spatial distribution.

[0080] The fault diagnosis module automatically identifies anomalies and fault points by comparing operation logs, preset standard states, and real-time operation data, locates the source of the fault, and generates diagnostic data;

[0081] The fault visualization display module generates a three-dimensional virtual model based on the diagnostic data of the fault diagnosis module, as well as the equipment's operation log and real-time operation data. It dynamically displays the fault point and the internal operation status of the equipment, providing an intuitive fault visualization display.

[0082] The repair suggestion module analyzes the equipment's failure mode based on the diagnostic data from the fault diagnosis module and combines it with the equipment's operation log and work log, generates specific repair suggestions, and dynamically displays the repair steps on the 3D GIS platform.

[0083] The equipment lifecycle management module uses IoT technology to track equipment operation logs, work logs, and operating data, recording the entire process from procurement to scrapping, including equipment maintenance, fault repair, and parts replacement;

[0084] The dynamic equipment health status assessment module collects equipment operation data in real time, combines it with the historical data of the equipment operation log, and dynamically scores the health status of the equipment through the analysis submodule set within it to generate a health report.

[0085] The fault visualization display module searches for log segments related to the fault point in the work log and highlights them, imports the highlighted log segments into the virtual device, and generates a virtual work process; it dynamically displays the work process of the target mechanism corresponding to the fault point in the virtual device; the work process includes the number of times the user operates the device function keys, the operation sequence, and the results of the corresponding feedback from the device.

[0086] The repair suggestion module compares the action logic of the target mechanism, locates the target log segment, and displays the specific repair method; the repair methods include software repair and hardware repair; among them, the software repair method is that the fault type is software fault, the error code is compared with the source code of the software to determine the fault code area, a replacement code is generated, and the replacement code is imported into the virtual device to replace the error code, and the operating status of the target mechanism is detected to determine whether the repair is completed; the hardware repair method is that the fault type is hardware fault, the target mechanism is controlled to act step by step according to the preset logic, and the specific faulty hardware is determined based on whether the action can be completed, and the faulty component in the target mechanism is determined based on the faulty hardware.

[0087] Software repair includes: if the fault type is a software fault, comparing the error code with the software source code to determine the fault code area, generating a replacement code, importing the replacement code into the virtual device to replace the error code, and detecting the operating status of the target mechanism to determine whether the repair is complete;

[0088] Hardware repair includes: if the fault type is hardware fault, control the target mechanism to move step by step according to the preset logic, determine the specific faulty hardware based on whether the action can be completed, and determine the faulty component in the target mechanism based on the faulty hardware.

[0089] The reading module automatically obtains operation logs, work logs and real-time operation data from medical equipment through sensor installation, device network connection, data collection and upload, and management and monitoring of the Internet of Things platform.

[0090] In one embodiment, the analysis submodule includes: a data acquisition submodule, which collects real-time data and historical operating data of the equipment; a data processing submodule, which preprocesses, cleans and normalizes the data, and sorts the data by time so that the real-time data and historical data can be accurately compared and analyzed; a data analysis submodule, which continuously monitors the real-time data of the equipment and checks whether the various operating parameters of the equipment are within the set safety range; compares the real-time data with the historical data of the equipment (operation log and work log) to detect whether the parameter changes of the equipment exceed the normal range and determine whether there are potential faults; sets several key health indicators (such as temperature fluctuations and vibration frequencies of the equipment), which serve as important bases for equipment health scoring; a health scoring submodule, which calculates the health score of the equipment based on the weight distribution of key indicators; the scoring results are divided into "normal", "warning", "maintenance required" and other states. The scoring algorithm uses the formula: health score = 100-Σ (deviation of each indicator × its weight) and also includes: displaying the removal process and installation process of the faulty parts in the virtual device;

[0091] For ease of understanding, here we take an MRI machine as an example. The specific steps are as follows:

[0092] 1. Real-time data acquisition: Collect key parameters of the MRI equipment, such as magnetic field strength, cooling system temperature, scan time, and current load. Monitor this data in real time to ensure it is within normal operating range.

[0093] 2. Historical data comparison: Extract the MRI equipment's past operating data, including the equipment's daily operating hours, the fluctuation range of the magnetic field intensity, and the cooling system's temperature records. Compare the equipment's current cooling system temperature with the temperature trend over the past six months to identify any significant deviations.

[0094] 3. Analyze equipment health indicators: Temperature fluctuation: Is the cooling system temperature within the normal range during equipment operation (e.g., set to 5°C to 10°C)? Magnetic field strength stability: Is the change in magnetic field strength stable and does it experience abnormal fluctuations? Equipment usage time: Is the equipment operating within the specified time range to avoid wear and tear caused by excessive use?

[0095] 4. Score calculation: If the temperature of the cooling system rises slightly (for example, reaching 11°C), it will affect the score of the device. The calculation formula may be:

[0096] Score = 100 - (temperature deviation × temperature weight) - (magnetic field fluctuation × magnetic field weight) - (usage time deviation × usage time weight)

[0097] If the temperature deviation outside the normal range is 2°C, and the temperature weight is set to 30%, the score may be deducted by 2×30%=6 points.

[0098] If the magnetic field strength is normal and the usage time is within the standard range, the health score may be 94 points.

[0099] 5. Generate a health report: This report displays historical and current data curves for the cooling system's temperature and magnetic field strength. The device's health score is 94, marking it "Good," but it's recommended to inspect the cooling system to prevent further temperature increases. If the score were below 80, the report might indicate "Maintenance Required," suggesting that a technician inspect the device immediately.

[0100] Through these specific analysis steps, the device health assessment module can assess the health of medical devices in real time, analyze device operating trends based on historical data, and generate device health scores and maintenance recommendations. This approach not only improves device maintenance efficiency but also prevents device failures, ensuring the long-term stable operation of medical devices.

[0101] The device verifies successful installation of the replaced component. If unsuccessful, the incorrect installation location is displayed. It also includes a device monitoring client, configured to restrict user access, control device operation, provide notifications about fault types, and monitor repair progress. The client is connected to the medical device through a signal connection. The client also includes a storage module and an NFC recognition module. The storage module is configured to store user information and medical device operation information; the NFC recognition module is configured to identify and activate the medical device within a preset distance.

[0102] A medical device monitoring system based on the Internet of Things and three-dimensional GIS technology includes a memory and a processor. The processor is used to implement the steps of the medical device monitoring system based on the Internet of Things and three-dimensional GIS technology when executing a computer management program stored in the memory.

[0103] It should be noted that the above embodiments all belong to the same inventive concept, and the descriptions of each embodiment have different focuses. For any details not described in a particular embodiment, reference can be made to the descriptions of other embodiments. The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to in conjunction with each other.

[0104] The above-described embodiments merely illustrate the implementation methods of the present invention. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art would be able to make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention shall be determined by the appended claims.

Claims

1. A medical device monitoring system based on the Internet of Things and three-dimensional GIS technology, characterized in that: include: The reading module automatically collects three data sources through the IoT platform, namely operation logs, work logs and real-time operation data; A visualization processing module, which generates visualization charts and reports by analyzing the operation log and the work log; A construction module, which constructs a virtual model of the device based on the operation log, the work log and the real-time operation data, and simulates the operation process and operation status of the device; The 3D GIS display module obtains the device's operating data from the IoT platform in real time and displays the device's geographic location, current operating status, and historical fault records on a 3D GIS map. At the same time, through the dynamic interaction function with the building modules, combined with the operation log and work log, the operation process of the equipment and its spatial distribution are displayed; The fault diagnosis module automatically identifies anomalies and fault points by comparing operation logs, preset standard states, and real-time operation data, locates the source of the fault, and generates diagnostic data; The fault visualization display module generates a three-dimensional virtual model based on the diagnostic data of the fault diagnosis module, as well as the equipment's operation log and real-time operation data. It dynamically displays the fault point and the internal operation status of the equipment, providing an intuitive fault visualization display. A repair suggestion module analyzes the equipment's failure mode based on the diagnostic data from the fault diagnosis module and in combination with the equipment's operation log and work log, generates specific repair suggestions, and dynamically displays the repair steps on the 3D GIS platform; The equipment lifecycle management module uses IoT technology to track equipment operation logs, work logs, and operating data, recording the entire process from procurement to scrapping, including equipment maintenance, fault repair, and parts replacement; The dynamic equipment health status assessment module collects equipment operation data in real time, combines it with the historical data of the equipment operation log, and dynamically scores the health status of the equipment through the analysis submodule set within it to generate a health report.

2. The medical device monitoring system based on Internet of Things and 3D GIS technology according to claim 1 is characterized in that: The fault visualization display module searches for the log segment related to the fault point in the work log and highlights it, imports the highlighted log segment into the virtual device, and generates a virtual work process; dynamically displays the work process of the target mechanism corresponding to the fault point in the virtual device; the work process includes the number of times the user operates the device function keys, the operation sequence, and the results of the corresponding feedback from the device.

3. The medical device monitoring system based on Internet of Things and 3D GIS technology according to claim 1 is characterized in that: The repair suggestion module compares the action logic of the target mechanism, locates the target log segment, and displays the specific repair method; the repair method includes software repair and hardware repair; wherein, the software repair method is that the fault type is a software fault, the error code is compared with the source code of the software to determine the fault code area, a replacement code is generated, and the replacement code is imported into the virtual device to replace the error code, and the operating status of the target mechanism is detected to determine whether the repair is completed; the hardware repair method is that the fault type is a hardware fault, the target mechanism is controlled to act step by step according to the preset logic, the specific faulty hardware is determined based on whether the action can be completed, and the faulty component in the target mechanism is determined based on the faulty hardware.

4. The medical device monitoring system based on Internet of Things and 3D GIS technology according to claim 3 is characterized in that: The software repair includes: if the fault type is a software fault, comparing the error code with the software source code to determine the fault code area, generating a replacement code, importing the replacement code into the virtual device to replace the error code, and detecting the operating status of the target mechanism to determine whether the repair is completed; The hardware repair includes: if the fault type is a hardware fault, controlling the target mechanism to move step by step according to a preset logic, determining the specific faulty hardware based on whether the action can be completed, and determining the faulty component in the target mechanism based on the faulty hardware.

5. The medical device monitoring system based on Internet of Things and 3D GIS technology according to claim 1 is characterized in that: The reading module automatically obtains operation logs, work logs and real-time operation data from medical equipment through sensor installation, device network connection, data collection and upload, and management and monitoring of the Internet of Things platform.

6. The medical device monitoring system based on Internet of Things and 3D GIS technology according to claim 1, characterized in that: The analysis submodule includes: Data acquisition submodule, collects real-time data and historical operation data of equipment; The data processing submodule is responsible for data preprocessing, cleaning and normalization, and also sorting the data by time to facilitate accurate comparison and analysis of real-time data and historical data. The data analysis submodule continuously monitors the real-time data of the equipment and checks whether the various operating parameters of the equipment are within the set safety range; compares the real-time data with the historical data of the equipment (operation log and work log) to detect whether the parameter changes of the equipment exceed the normal range and determine whether there are potential faults; sets several key health indicators (such as temperature fluctuations and vibration frequency of the equipment), which serve as an important basis for equipment health scoring The health scoring submodule calculates the health score of the device based on the weight distribution of key indicators; the scoring results are divided into "normal", "warning", "maintenance required" and other states. The scoring algorithm uses the formula: Health score = 100-Σ(deviation of each indicator × its weight).

7. The medical device monitoring system based on Internet of Things and 3D GIS technology according to claim 3 is characterized in that: Also includes: Displaying the removal process and installation process of the faulty component in the virtual device; Check whether the replaced parts are installed successfully. If the installation is unsuccessful, the wrong installation position will be displayed.

8. The medical device monitoring system based on Internet of Things and 3D GIS technology according to claim 1 is characterized in that: It also includes a device monitoring client, which is configured to: limit user usage permissions, control the operation of the medical device, remind the fault type, and monitor the repair process. The device monitoring client is connected to the medical device signal.

9. The medical device monitoring system based on Internet of Things and 3D GIS technology according to claim 8, characterized in that: The device monitors a client storage module and an NFC identification module, wherein the storage module is configured to store user information and medical device operation information; and the NFC identification module is configured to identify and activate the medical device within a preset distance from the medical device.

10. A medical device monitoring system based on the Internet of Things and three-dimensional GIS technology, characterized in that: It includes a memory and a processor, and the processor is used to implement the steps of the medical device monitoring system based on the Internet of Things and three-dimensional GIS technology as described in any one of claims 1 to 9 when executing the computer management program stored in the memory.

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