A medical equipment management system based on artificial intelligence

Abstract

The present invention discloses a medical equipment management system based on artificial intelligence, comprising an equipment data acquisition module, an equipment use management module and a maintenance management module, characterized in that: the equipment information acquisition module is used to collect basic information of the equipment, satellite remote sensing data and sensor data, the equipment use management module is used to protect the safety of patient examination data and supervise the equipment to be adjusted, the maintenance management module is used to record detailed maintenance records, repair records and select repair time, the equipment data acquisition module, the data use management module and the maintenance management module are interconnected for communication, the equipment information acquisition module comprises an equipment information entry module, satellite remote sensing data and a sensor module, and the present invention has the characteristics of improving resource utilization and reasonably selecting maintenance time.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment management, and in particular to a medical equipment management system based on artificial intelligence. Background Art

[0002] With the continuous development of Internet technology, medical equipment management has gradually become information-based. However, as the division of labor in medical equipment becomes more and more detailed, the variety and quantity of medical equipment are also increasing. As a result, the limited medical staff in the hospital are exhausted from managing and adjusting a large number of medical equipment. In addition, some equipment in some departments has been idle, wasting a lot of medical resources. However, due to the impact of factors such as road conditions and poor equipment supervision after adjustment on equipment performance during cross-hospital adjustments, existing technologies can only adjust equipment within the current hospital area. Therefore, medical equipment will still be idle, and the distribution of medical resources is very unreasonable. In the process of adjusting equipment, due to the incompatibility of the equipment with the management system or encryption system of the new hospital, there will be a temporary weakening of data protection, resulting in the leakage of patient privacy information. Moreover, the existing technology maintains equipment by suspending service and cannot select the maintenance time period by predicting the time required for equipment maintenance, resulting in uncertainty in the time patients wait for examination. Therefore, it is very necessary to design an artificial intelligence-based medical equipment management system to improve resource utilization and reasonably select maintenance time. Summary of the Invention

[0003] The purpose of the present invention is to provide a medical equipment management system based on artificial intelligence to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a medical equipment management system based on artificial intelligence, including an equipment data acquisition module, an equipment usage management module and a maintenance management module, characterized in that: the equipment information acquisition module is used to collect basic information of the equipment, satellite remote sensing data and sensor data, the equipment usage management module is used to protect the security of patient examination data and supervise the adjustment of equipment, the maintenance management module is used to record detailed maintenance records, repair records and select repair time, and the equipment data acquisition module, data usage management module and maintenance management module are communicated with each other.

[0005] According to the above technical solution, the equipment information acquisition module includes an equipment information entry module, satellite remote sensing data and a sensor module. The equipment information entry module is used to record the equipment's transportation conditions, life cycle, and repair and maintenance records into the system. The satellite remote sensing data is used to retrieve three-dimensional remote sensing images of the transportation road surface and road traffic conditions. The sensor module is used to collect the air composition, humidity, and operating sounds of the equipment's working environment during operation.

[0006] According to the above technical solution, the equipment usage management module includes a data protection module and a transportation management module. The data protection module is used to protect the patient's privacy data during the process of connecting the hospital system to the equipment, and the transportation management module is used to adjust the transportation route according to road traffic conditions.

[0007] According to the above technical solution, the maintenance management module includes a maintenance status recording module and an alarm module. The maintenance status recording module is used to detect whether the equipment has replaced accessories after maintenance or repair, and record the equipment maintenance and repair records. The alarm module is used to issue an alarm when the system detects that the equipment has a fault.

[0008] According to the above technical solution, the data protection module includes an authorization instruction submodule, a relay chain submodule, and a transmission node submodule. The authorization instruction submodule is used to lock the transmission interface of the device and open the restrictions of the transmission interface through instructions. The relay chain submodule is used to establish a relay chain to provide a line for data transmission and protect data security. The transmission node submodule is used to establish a transmission node and adjust the adaptability of the system.

[0009] The maintenance module includes a maintenance time calculation submodule and an equipment environment monitoring submodule. The maintenance time period selection submodule is used to select a time period for equipment maintenance. The equipment environment monitoring submodule is used to detect whether the equipment operating environment is suitable for equipment operation.

[0010] The maintenance management module also includes a maintenance module, which is used to select an optimal maintenance time period to maintain the equipment and monitor the environment in which the equipment operates.

[0011] According to the above technical solution, the operation method of the medical equipment management system mainly includes the following steps:

[0012] Step S1: The device model, transportation conditions, life cycle, and repair and maintenance records of the device are entered into the system through the device information entry module. The air composition, temperature, and humidity of the device operating environment are collected in real time through the sensor module. The system retrieves the device's transportation conditions, life cycle, and maintenance records based on the device model, and retrieves three-dimensional remote sensing images of the transportation route and road conditions via satellite.

[0013] Step S2: When a transportation plan is selected, the system triggers an electrical signal to start the transportation management module, begins analyzing the transportation conditions of the equipment, and then analyzes the three-dimensional remote sensing image of the road surface based on the transportation conditions of the equipment;

[0014] Step S3: When the device is installed, the authorization instruction submodule starts the data transmission interface of the locking device, uses the relay chain as a transmission channel to transmit data, and uses the transmission node to adjust the adaptability of the system;

[0015] Step S4: When the equipment is repaired and maintained within the cycle, the system starts the maintenance module and begins to analyze the impact of the number of times the equipment is used, the length of time it is used, and the time since the last maintenance on the length of time required for equipment maintenance, and analyzes the impact of the equipment operating environment on the equipment failure rate and lifespan.

[0016] According to the above technical solution, step S2 further includes the following steps:

[0017] Step S21: Retrieve the equipment's transportation conditions, scan and identify the equipment's specifications, select the transport vehicle size based on the equipment's specifications, scan the length, width, and height data of the loaded transport vehicle, further retrieve the width and height restrictions of the transport route, and select a route that meets the conditions based on the length, width, and height data of the transport vehicle, marking it as a pending route;

[0018] Step S22: After the routes to be determined are preliminarily selected, a three-dimensional remote sensing image of the road surface is retrieved, and the convex slope road surface and concave road surface in the image are scanned and marked. The apex of the convex slope road surface part and the lowest point of the concave road surface part are anchored, and a coordinate system is established with the convex point or apex of the lowest concave point as the origin. The inflection point A(X, Y) between the slope road surface or concave road surface and the horizontal road surface is marked in the coordinate system, and the road slope is calculated by the formula Where P represents the slope of the road, and α represents the slope coefficient. The system sets a threshold value for comparison. If P is less than the minimum threshold, the proposed route is deleted. Otherwise, the road depression degree is calculated.

[0019] Step S23: Further select the route based on the number of road depressions, retrieve the coordinate system model of the road depression part, mark the intersection point D(x, y) of the depression edge and the horizontal road surface, and calculate the road depression degree value by the formula Where U represents the road surface concavity value, and β represents the road surface concavity coefficient. The value is compared with the threshold set by the system. If U is less than the threshold set by the system, the current pending route is deleted. Otherwise, a road is selected from the pending routes based on the road conditions.

[0020] According to the above technical solution, step S3 further includes the following steps:

[0021] Step S31: After the device is transported to the destination, the system authorization instruction is retrieved and injected into the current device. The authorization instruction anchors the device data interface and removes the data port restriction. The system establishes a virtual transmission channel with the data port through the virtual transmission network;

[0022] Step S32: After establishing a connection with the data port, the system establishes a relay chain through the relay chain module, using the relay chain to wrap the virtual transmission channel. If a terminal device attempts to access or attack the virtual transmission channel, the relay chain will collect the access request and place it in an isolation box that can isolate the terminal device from the access request and destroy it.

[0023] Step S33: During the debugging process of the device, a transmission node is established to scan and identify the data encryption method and data type in the target hospital system, and the data type and data encryption method output by the device are changed according to the data encryption method and data type in the target hospital system.

[0024] According to the above technical solution, step S4 further includes the following steps:

[0025] Step S41: Retrieve the historical fault data of the current device, scan and identify the number of faults per day in each cycle of the current device, calculate the average number of faults per day in the cycle S, mark the day with the largest average number of faults S, and calculate this day as the yth day since the most recent maintenance;

[0026] Step S42: When the current device is (y-1) days away from the last maintenance, retrieve the cumulative number of times the current device has been used since purchase (S), the total usage time (t), the maintenance cycle (Y), and the time (y) since the last maintenance cycle, and calculate the maintenance time required for the current device using the formula Where i = 0, 1, 2, 3...n, T represents the maintenance time required for the current equipment, y represents the number of days since the last maintenance cycle, and λ S Indicates the coefficient of influence of the number of times used on the maintenance time required for the current equipment, μ t Indicates the influence coefficient of the total equipment usage time on the maintenance time required for the current equipment, T 定 Indicates the fixed maintenance time required for the current equipment, Y indicates the maintenance cycle of the current equipment, J i Indicates the fixed time required to repair the faulty part of the current equipment.

[0027] According to the above technical solution, step S42 further includes the following steps:

[0028] Step S43: further retrieve the time period of the patient who needs to use the current device, calculate the interval between two adjacent time periods, and compare them with the maintenance time required for the current device. If the interval is the same as the maintenance time required for the current device, the device is marked as maintenance-ready and a reminder is issued. Otherwise, maintenance is performed on the maintenance date. After maintenance, the system checks each component on the device. If a component code appears for the first time, the component code and component location are recorded and saved.

[0029] Step S4: During the use of the device, the air composition data, temperature and humidity around the device are retrieved and compared with the system threshold. If the temperature or humidity around the device is greater than the threshold, the alarm module is triggered to remind the management personnel that the device temperature is too high or the humidity is too high. The dust particle content in the air is identified and the time interval required for equipment maintenance is calculated through the formula. Where i = 1, 2, 3...n, H represents the fixed time required for equipment maintenance, ω represents the coefficient of influence of dust content in the air on equipment maintenance time, y represents the time since the last maintenance, K 总 represents the total time required to maintain the current equipment, and κ represents the influence coefficient of the time interval y on the maintenance time required for the current equipment.

[0030] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention can screen the transport routes by using the length, width and height data of the transport vehicles, thereby preventing the transport vehicles from encountering narrow roads or height-restricted roads that are impassable during the process of transporting equipment, thereby improving the transport efficiency of the equipment; by calculating the slope of the convex surface of the road, it can avoid selecting routes where the road surface is bumpy and easily damages the equipment, thereby preventing the equipment from being damaged; by calculating the degree of potholes and bumps on the road surface, it can avoid the transport vehicles from damaging the equipment during the process of transporting the equipment, thereby reducing the damage to the medical equipment during the adjustment process; by analyzing the road conditions of the transport routes, it can ensure the safe transportation of the equipment to the target hospital, thereby completing the equipment adjustment, and further improving the rationality of resource allocation; by establishing a relay chain to protect the virtual transmission channel, it can protect the patient's privacy during the debugging of the equipment. Private data will not be stolen, avoiding the leakage of patient privacy. By reading the data encryption method and data type in the target hospital system and modifying the equipment, the data type and encryption method in the equipment system can be made consistent with the target hospital system, avoiding the leakage of patient privacy data due to incompatible data encryption or poor data transmission. By calculating the time required for current equipment maintenance, management personnel can arrange maintenance time periods according to the maintenance time required for the current equipment. By calculating the interval between two adjacent patient appointment time periods, management personnel can select the appropriate time in the time interval for maintenance according to the equipment maintenance time, which will not affect the patient's treatment and greatly improve the utilization rate of the equipment. By calculating the maintenance time required for the equipment, the equipment can be maintained during idle time, which greatly extends the life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0032] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0034] See also Figure 1 The present invention provides a technical solution: a medical equipment management system based on artificial intelligence, including an equipment data acquisition module, an equipment usage management module and a maintenance management module, characterized in that: the equipment information acquisition module is used to collect basic information of the equipment, satellite remote sensing data and sensor data, the equipment usage management module is used to protect the security of patient examination data and supervise the adjustment of equipment, the maintenance management module is used to record detailed maintenance records, repair records and select repair time, and the equipment data acquisition module, the data usage management module and the maintenance management module are communicated with each other.

[0035] The equipment information collection module includes an equipment information entry module, satellite remote sensing data and a sensor module. The equipment information entry module is used to record the equipment's transportation conditions, life cycle, and repair and maintenance records into the system. The satellite remote sensing data is used to retrieve three-dimensional remote sensing images of the transportation road surface and road traffic conditions. The sensor module is used to collect the air composition, humidity, and operating sounds of the equipment's working environment.

[0036] The equipment usage management module includes a data protection module and a transportation management module. The data protection module is used to protect the patient's privacy data during the process of connecting the hospital system to the equipment, and the transportation management module is used to adjust the transportation route according to road traffic conditions.

[0037] The maintenance management module includes a maintenance status recording module and an alarm module. The maintenance status recording module is used to detect whether the equipment has replaced parts after maintenance or repair, and record the equipment maintenance and repair records. The alarm module is used to issue an alarm when the system detects that the equipment has a fault.

[0038] The maintenance management module also includes a maintenance module, which is used to select the optimal maintenance time period for equipment maintenance and monitor the environment in which the equipment operates.

[0039] The data protection module includes an authorization instruction submodule, a relay chain submodule, and a transmission node submodule. The authorization instruction submodule is used to lock the device's transmission interface and open the transmission interface restrictions through instructions. The relay chain submodule is used to establish a relay chain to provide a line for data transmission and protect data security. The transmission node submodule is used to establish transmission nodes and adjust the system's adaptability.

[0040] The maintenance module includes a maintenance time calculation submodule and an equipment environment monitoring submodule. The maintenance time period selection submodule is used to select the time period for equipment maintenance, and the equipment environment monitoring submodule is used to detect whether the equipment operating environment is suitable for equipment operation.

[0041] The operation method of the medical equipment management system mainly includes the following steps:

[0042] Step S1: The device model, transportation conditions, life cycle, and repair and maintenance records of the device are entered into the system through the device information entry module. The air composition, temperature, and humidity of the device operating environment are collected in real time through the sensor module. The system retrieves the device's transportation conditions, life cycle, and maintenance records based on the device model, and retrieves three-dimensional remote sensing images of the transportation route and road conditions via satellite.

[0043] Step S2: When a transportation plan is selected, the system triggers an electrical signal to start the transportation management module, begins analyzing the transportation conditions of the equipment, and then analyzes the three-dimensional remote sensing image of the road surface based on the transportation conditions of the equipment;

[0044] Step S3: When the device is installed, the authorization instruction submodule starts the data transmission interface of the locking device, uses the relay chain as a transmission channel to transmit data, and uses the transmission node to adjust the adaptability of the system;

[0045] Step S4: When the equipment is repaired and maintained within the cycle, the system starts the maintenance module and begins to analyze the impact of the number of times the equipment is used, the length of time it is used, and the time since the last maintenance on the length of time required for equipment maintenance, and analyzes the impact of the equipment operating environment on the equipment failure rate and lifespan.

[0046] Step S2 further includes the following steps:

[0047] Step S21: Retrieve the transportation conditions of the equipment, scan and identify the size of the equipment, select the size of the transport vehicle according to the size of the equipment, scan the length, width, and height data of the loaded transport vehicle, further retrieve the width limit and height limit data of the transport route, filter out the routes that meet the conditions according to the length, width, and height data of the transport vehicle, and mark them as pending routes. By filtering the transport routes according to the length, width, and height data of the transport vehicle, it is possible to avoid the transport vehicle encountering narrow roads or height-restricted roads that cannot be passed during the transportation of the equipment, thereby improving the transportation efficiency of the equipment;

[0048] Step S22: After the routes to be determined are preliminarily selected, a three-dimensional remote sensing image of the road surface is retrieved, and the convex slope road surface and concave road surface in the image are scanned and marked. The apex of the convex slope road surface part and the lowest point of the concave road surface part are anchored, and a coordinate system is established with the convex point or apex of the lowest concave point as the origin. The inflection point A(X, Y) between the slope road surface or concave road surface and the horizontal road surface is marked in the coordinate system, and the road slope is calculated by the formula Where P represents the slope of the road, and α represents the slope coefficient. The system sets a threshold value for comparison. If P is less than the minimum threshold, it means the road slope is too steep and the proposed route is deleted. Otherwise, the road depression is calculated. By calculating the slope of the convex surface of the road, it is possible to avoid choosing a route with bumpy roads that may damage the equipment, thus preventing damage to the equipment.

[0049] Step S23: Further select the route based on the number of road depressions, retrieve the coordinate system model of the road depression part, mark the intersection point D(x, y) of the depression edge and the horizontal road surface, and calculate the road depression degree value by the formula Where U represents the road surface depression value, and β represents the road surface depression coefficient. Compared with the system-set threshold, if U is less than the system-set threshold, it means that the road surface depression is deep and the bumpiness is large, and the current pending route is deleted. Otherwise, a road is selected from the pending routes based on the road conditions. By calculating the degree of potholes and bumps on the road surface, it is possible to avoid damage to the equipment during transportation by transport vehicles and reduce damage to medical equipment during the adjustment process.

[0050] Step S3 further includes the following steps:

[0051] Step S31: After the device is transported to the destination, the system authorization instruction is retrieved and injected into the current device. The authorization instruction anchors the device data interface and removes the data port restriction. The system establishes a virtual transmission channel with the data port through the virtual transmission network;

[0052] Step S32: After establishing a connection with the data port, the system establishes a relay chain through the relay chain module, and uses the relay chain to wrap the virtual transmission channel. The relay chain can form a protective layer outside the virtual transmission channel, which can block all access requests from outside the system. If a terminal device wants to access or attack the virtual transmission channel at this time, the relay chain will collect the access request and put it into an isolation box that can isolate the terminal device from the access request for destruction. By establishing a relay chain to protect the virtual transmission channel, it can protect the patient's private data from being stolen during the debugging process of the device, thereby avoiding the leakage of patient privacy;

[0053] Step S33: During the debugging of the device, a transmission node is established, the data encryption method and data type in the target hospital system are scanned and identified, and the data type and data encryption method output by the device are changed according to the data encryption method and data type in the target hospital system. By reading the data encryption method and data type in the target hospital system and modifying the device, the data type and encryption method in the device system can be made consistent with the target hospital system, thereby avoiding leakage of patient privacy data due to incompatible data encryption or poor data transmission.

[0054] Step S4 further includes the following steps:

[0055] Step S41: Retrieve historical fault data for the current device, scan and identify the number of faults per day within each cycle of the current device, calculate the average number of faults per day within the cycle S, mark the day with the largest average number of faults S, and calculate this day as the yth day since the last maintenance. By calculating that the yth day after the last maintenance is a period of frequent faults, the device can be maintained in advance, shortening the time it takes for patients to visit the hospital due to device failures.

[0056] Step S42: When the current device is (y-1) days away from the last maintenance, retrieve the cumulative number of times the current device has been used since purchase (S), the total usage time (t), the maintenance cycle (Y), and the time (y) since the last maintenance cycle, and calculate the maintenance time required for the current device using the formula Where i = 0, 1, 2, 3...n, T represents the maintenance time required for the current equipment, y represents the number of days since the last maintenance cycle, and λ S Indicates the coefficient of influence of the number of times used on the maintenance time required for the current equipment, μ t Indicates the influence coefficient of the total equipment usage time on the maintenance time required for the current equipment, T 定 Indicates the fixed maintenance time required for the current equipment, Y indicates the maintenance cycle of the current equipment, J i Indicates the fixed time required to repair the faulty part of the current equipment. By calculating the time required for current equipment maintenance, managers can schedule maintenance time slots based on the time required for current equipment maintenance.

[0057] Step S42 further includes the following steps:

[0058] Step S43: further retrieve the time period of the patient's appointment who needs to use the current device, calculate the interval between two adjacent time periods, and compare the maintenance time required for the current device. If the interval is the same as the maintenance time required for the current device, it means that the device can complete the equipment maintenance within the interval, mark the device as maintainable and issue a reminder, otherwise wait until the maintenance date for maintenance. After maintenance, the system detects each component on the device. If the component code appears for the first time, the component code and component location are recorded and saved. By calculating the interval between the two adjacent patient appointment time periods, the system can select the appropriate time in the time interval for maintenance according to the equipment maintenance time, which can not affect the patient's treatment and greatly improve the utilization rate of the equipment.

[0059] Step S4: During the use of the device, the air composition data, temperature and humidity around the device are retrieved and compared with the system threshold. If the temperature or humidity around the device is greater than the threshold, the alarm module is triggered to remind the management personnel that the device temperature is too high or the humidity is too high. The dust particle content in the air is identified and the time interval required for equipment maintenance is calculated through the formula. Where i = 1, 2, 3...n, H represents the fixed time required for equipment maintenance, ω represents the coefficient of influence of dust content in the air on equipment maintenance time, y represents the time since the last maintenance, K 总 represents the total time required to maintain the current equipment, and κ represents the coefficient of the time interval y on the maintenance time required for the current equipment. By calculating the maintenance time required for the equipment, the equipment's idle time can be used for maintenance, greatly extending the equipment's life.

[0060] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0061] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A medical equipment management system based on artificial intelligence, including an equipment information collection module, an equipment use management module and a maintenance management module, characterized in that: The equipment information collection module is used to collect basic information of the equipment, satellite remote sensing data and sensor data; the equipment use management module is used to protect the safety of patient examination data and supervise the equipment to be adjusted; the maintenance management module is used to record detailed maintenance records, repair records and select repair time; the equipment information collection module, equipment use management module and maintenance management module are connected to each other in communication; The equipment information acquisition module includes an equipment information input module, a satellite remote sensing module and a sensor module. The equipment information input module is used to log the transportation conditions, life cycle, and repair and maintenance records of the equipment into the system. The satellite remote sensing module is used to retrieve the three-dimensional remote sensing image of the transportation road surface and the road traffic conditions. The sensor module is used to collect the air composition and humidity of the equipment working environment and the operation sound of the equipment during operation. The equipment use management module includes a data protection module and a transportation management module, wherein the data protection module is used to protect the patient's privacy data during the process of connecting the hospital system to the equipment, and the transportation management module is used to adjust the transportation route according to the road traffic conditions; The maintenance management module includes a maintenance status recording module and an alarm module. The maintenance status recording module is used to detect whether the equipment after maintenance or repair has replaced the parts and record the equipment maintenance and repair records. The alarm module is used to issue an alarm when the system detects that the equipment has a fault; The maintenance management module also includes a maintenance module, which is used to select the optimal maintenance time period to maintain the equipment and monitor the environment in which the equipment operates; The data protection module includes an authorization instruction submodule, a relay chain submodule and a transmission node submodule. The authorization instruction submodule is used to lock the transmission interface of the device and open the restrictions of the transmission interface through instructions. The relay chain submodule is used to establish a relay chain to provide a line for data transmission and protect data security. The transmission node submodule is used to establish a transmission node and adjust the adaptability of the system. The maintenance module includes a maintenance time calculation submodule, a maintenance time period selection submodule and an equipment environment monitoring submodule. The maintenance time calculation submodule is used to calculate the maintenance time and repair time required for the equipment. The maintenance time period selection submodule is used to select the time period for equipment maintenance. The equipment environment monitoring submodule is used to detect whether the equipment operating environment meets the requirements for equipment operation. The operation method of the medical equipment management system mainly includes the following steps: Step S1: The equipment model, transportation conditions, life cycle, and repair and maintenance records of the equipment are entered into the system through the equipment information entry module, and the air composition, temperature, and humidity of the equipment operating environment are collected in real time through the sensor module. The system retrieves the equipment transportation conditions, life cycle, and maintenance records of the equipment through the equipment model, and retrieves the three-dimensional remote sensing image of the road surface and road traffic conditions of the transportation route through the satellite; Step S2: When a transportation plan is selected, the system triggers an electrical signal to start the transportation management module, starts analyzing the transportation conditions of the equipment, and then analyzes the three-dimensional remote sensing image of the road surface according to the transportation conditions of the equipment; Step S3: When the device is installed, the authorization instruction submodule starts the data transmission interface of the locking device, uses the relay chain as a transmission channel to transmit data, and uses the transmission node to adjust the adaptability of the system; Step S4: When the equipment is repaired and maintained within the cycle, the system starts the maintenance module and starts to analyze the impact of the number of times the equipment is used, the length of time it is used, and the time since the last maintenance on the length of time required for equipment maintenance, and analyzes the impact of the equipment operating environment on the equipment failure rate and lifespan; The step S2 further comprises the following steps: Step S21: retrieve the transportation conditions of the equipment, scan and identify the size of the equipment, select the size of the transport vehicle according to the size of the equipment, scan the length, width and height data of the transport vehicle after loading, further retrieve the width limit and height limit data of the transport route, and select the routes that meet the conditions according to the length, width and height data of the transport vehicle, and mark them as pending routes; Step S22: After the routes to be determined are preliminarily selected, a three-dimensional remote sensing image of the road surface is retrieved, and the convex slope road surface and the concave road surface in the image are scanned and marked, and the apex of the convex slope road surface part and the lowest point of the concave road surface part are anchored, and a coordinate system is established with the convex point or the apex of the lowest concave point as the origin, and the turning point between the slope road surface or the concave road surface and the horizontal road surface is marked in the coordinate system. , calculate the road slope by the formula , where Indicates the slope of the road. Expressed as a slope coefficient, compared with the system set threshold, if If it is less than the minimum threshold, the pending route is deleted, otherwise the road depression degree is calculated; Step S23: Further select the route according to the number of road depressions, retrieve the coordinate system model of the road depression part, and mark the intersection of the depression edge and the horizontal road surface , the road depression value is calculated by the formula , where Indicates the depression value of the road surface. Indicates the road surface depression coefficient, compared with the system set threshold, if If the value is less than the system-set threshold, the current pending route will be deleted. Otherwise, a road will be selected from the pending routes based on the road conditions. The step S3 further comprises the following steps: Step S31: After the device is transported to the destination, the system authorization instruction is retrieved and injected into the current device. The authorization instruction anchors the device data interface and releases the data port restriction. The system establishes a virtual transmission channel with the data port through the virtual transmission network. Step S32: After establishing a connection with the data port, the system establishes a relay chain through the relay chain module, and uses the relay chain to wrap the virtual transmission channel. If there is a terminal device that wants to access or attack the virtual transmission channel at this time, the relay chain will collect the access request and put it into an isolation box that can isolate the terminal device from the access request for destruction; Step S33: during the debugging of the device, a transmission node is established to scan and identify the data encryption method and data type in the target hospital system, and the data type and data encryption method output by the device are changed according to the data encryption method and data type in the target hospital system; The step S4 further comprises the following steps: Step S41: retrieve the historical fault data of the current device, scan and identify the number of faults of each device per day in a cycle, and calculate the average number of faults per day in a cycle. , marking the average number of failures The largest day is calculated as the day since the last maintenance. sky; Step S42: The current device is at the time of the most recent maintenance Hourly, retrieve the cumulative number of times the current equipment has been used since purchase , total usage time , maintenance cycle , the time since the last maintenance cycle , calculate the maintenance time required for the current equipment through the formula , where , Indicates the maintenance time required for the current device. Indicates the number of days since the last maintenance cycle. Indicates the coefficient of influence of the number of uses on the maintenance time required for the current equipment. Indicates the influence coefficient of the total equipment usage time on the maintenance time required for the current equipment. Indicates the maintenance time required for the current equipment. Indicates the maintenance cycle of the current equipment. Indicates the fixed time required to repair the faulty part of the current equipment.

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