Asset management system and method for medical devices based on the internet of things
By building a medical equipment asset inventory model through the Internet of Things, the problems of real-time monitoring and dynamic analysis in traditional asset management are solved, and efficient equipment status management and automated asset management are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NINGBO MEDICAL CENT LIHUILI HOSPITACL
- Filing Date
- 2025-12-30
- Publication Date
- 2026-06-05
Smart Images
Figure CN122158044A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of asset management technology, and more specifically to an asset management system and method for medical devices based on the Internet of Things. Background Technology
[0002] Traditional medical equipment asset management technologies rely primarily on manual records or static lists using RFID tags for asset inventory. This approach fails to enable real-time monitoring and dynamic analysis of equipment operational status. Particularly in large hospitals or multi-campus settings, issues such as asset omissions, duplicate inventory counts, and difficulty in detecting abnormal statuses are common, severely impacting the hospital's equipment maintenance efficiency and asset protection capabilities. Therefore, there is an urgent need for a comprehensive medical equipment asset management method and system that integrates IoT technology, operational status sensing, and graph structure optimization. Summary of the Invention
[0003] In view of the above-mentioned problems, the present invention is proposed.
[0004] To address the aforementioned technical problems, this invention provides the following technical solution: an asset management method for medical devices based on the Internet of Things, comprising the following steps: An asset inventory model is built based on Internet of Things (IoT) technology, specifically as follows: Construct real-time operating status vectors for all medical devices, and based on these vectors, build the basic graph structure for medical device asset inventory. Based on the initial point of the basic graph structure, the edge connection relationship of the basic graph structure is iteratively updated by calculating the spatial distance between the starting point and other nodes, thereby generating the initial graph structure of the medical device. The initial medical equipment graph structure is iteratively updated by the responsible department of each node to generate the second-generation medical equipment graph structure. This includes the construction of a candidate set of nodes based on the responsible department and the updating of the node sorting in the candidate set. By iteratively updating the edge connection relationships of the second-generation graph structure of medical equipment based on the type of medical equipment in the nodes, the medical equipment asset inventory model is completed. Furthermore, the corresponding medical equipment assets are managed according to the constructed medical equipment asset inventory model. At the same time, the medical equipment is dynamically replenished based on the real-time operating status of the medical equipment, according to the determined total number of medical equipment assets.
[0005] As a preferred embodiment of the IoT-based medical device asset management method of the present invention, the basic diagram structure for constructing the medical device asset inventory is as follows: Based on the location information in the real-time operating status vector of the medical devices, each medical device is treated as a data node, and the location information of the node is the location information in the real-time operating status vector. The relationships between each medical device are represented by the edge connections between nodes; Based on the determined node location information and edge connection relationships, construct the basic graph structure for medical equipment asset inventory. ,in, Let represent the set of nodes in the basic graph structure. The total number of nodes in the set should match the total number of medical devices and satisfy the formula . ,in, This represents the first node in the basic graph structure. Represents the first in the basic graph structure 1 node This represents the set of edges in a basic graph structure, consisting of the edge connections between nodes. This represents the basic diagram structure of the constructed medical equipment asset inventory.
[0006] As a preferred embodiment of the IoT-based asset management method for medical devices according to the present invention, the initial diagram structure of the medical device is as follows: Extract the position coordinates of the initial point, calculate the spatial distance between the initial point and other nodes, and take the node with the shortest spatial distance as the next node of the initial point; The next node of the initial point Once determined, continue calculating the next node. The node with the closest spatial distance is used to determine the second node after the initial point. ; The process continues until all nodes after the initial point are sorted. Based on the determined node order, edge connections are constructed sequentially to generate the initial graph structure of the medical device.
[0007] As a preferred embodiment of the IoT-based asset management method for medical devices described in this invention, the construction of the node candidate set based on the responsible department is specifically as follows: In the initial graph structure, the nodes belonging to the same responsible department as the initial point are used as the initial point and the candidate set of subsequent nodes. Based on the determined candidate set of the next node, calculate the spatial distance between all nodes in the candidate set of the next node and the initial point, and determine the nodes after the initial point in order of increasing spatial distance until all nodes in the candidate set of the next node are sorted. This indicates that the edge connection relationship of the nodes belonging to the same responsible department as the initial point has been iteratively updated. After the edge connection relationship of the node with the same responsible department as the initial point is iteratively updated, the similarity between the responsible departments of other nodes and the responsible departments of the initial point is calculated based on the responsible department of the initial point. The nodes are then sorted in descending order of similarity to represent the candidate set of the next node. The subsequent candidate sets of nodes are then sorted in order of similarity.
[0008] As a preferred embodiment of the IoT-based asset management method for medical devices according to the present invention, the node sorting update in the node candidate set is specifically as follows: After the sorting of the candidate node set after the candidate node set is completed, calculate the spatial distance between the last node in the previous candidate set and all nodes in the adjacent candidate sets, and select the node with the closest spatial distance as the first node in the adjacent candidate set. Once the first node in the adjacent candidate set is determined, the nodes in the same candidate set are arranged in ascending order of spatial distance from the previous node until the last node in the last candidate set is arranged. Based on the determined node order, edge connections are constructed sequentially, which indicates that the iteration of edge connections in the first-generation graph structure of the medical device is completed, and the second-generation graph structure of the medical device is generated.
[0009] As a preferred embodiment of the IoT-based asset management method for medical devices according to the present invention, the iterative update of the edge connection relationships in the second-generation graph structure of the medical devices is as follows: For the second-generation graph structure of medical equipment, for the candidate set of nodes with the same responsible department, extract the medical equipment type corresponding to all nodes in the candidate set. The nodes within the candidate set are reordered according to their importance based on the type of medical equipment, from highest to lowest importance, until all nodes within the candidate set have been reordered. Then, edge connections are constructed sequentially based on the reordered node order, indicating that the iteration of edge connections in the second-generation graph structure of the medical equipment is complete, generating the optimal graph structure of the medical equipment, and the construction of the medical equipment asset inventory model is completed based on the edge connections of the optimal graph structure of the medical equipment.
[0010] As a preferred embodiment of the IoT-based medical device asset management method of the present invention, the specific steps of managing the corresponding medical device assets according to the constructed medical device asset inventory model are as follows: This includes asset management of medical equipment based on equipment type, specifically: Collect the amount of medical equipment data corresponding to each equipment type, and realize asset management of medical equipment according to equipment type based on the total number of medical equipment types; In addition, the asset management of medical equipment shall be carried out according to the responsible department, specifically as follows: Collect data on the amount of medical equipment in each responsible department, and at the same time, realize asset management of medical equipment according to the number of departments and their respective responsible departments.
[0011] As a preferred embodiment of the IoT-based asset management method for medical devices according to the present invention, the dynamic replenishment of medical devices based on their real-time operating status is specifically as follows: Based on the determined total asset quantity of medical devices and the real-time operating status of medical equipment. ; Setting the normal operating status of medical equipment And based on the normal operating status of the medical equipment, determine whether the medical equipment is operating safely, specifically: If the comparison between the real-time operating status of the medical equipment and the set normal operating status satisfies the formula If the current medical equipment is in an abnormal operating state, the amount of data of the medical equipment in an abnormal operating state is recorded. Based on the recorded amount of data of the medical equipment in an abnormal operating state, the medical equipment is replenished in real time. Furthermore, the total number of medical equipment assets after replenishment is not less than the determined total number of medical equipment assets.
[0012] As a preferred embodiment of the IoT-based asset management method for medical devices described in this invention, wherein: during the continuous asset management process for medical devices, if a definite total quantity of medical device assets is found... The total number of medical equipment assets is lower than the previously determined figure. This indicates that during ongoing asset management, an abnormal condition of medical equipment has occurred. The abnormal medical equipment is precisely located using its ID number. Specifically: The medical equipment from the two inventories was compared according to its ID number. The medical equipment corresponding to the missing ID number was located, the medical equipment that was not operating properly was removed, and new medical equipment was added in a timely manner to ensure the real-time nature of asset management.
[0013] As a preferred embodiment of the IoT-based medical device asset management system of the present invention, it includes: an asset inventory model construction module and a medical device asset management module; the asset inventory model construction module is used to construct a medical device asset inventory model; the medical device asset management module performs asset management based on the constructed medical device asset inventory model.
[0014] The beneficial effects of this invention are: This invention constructs an asset inventory diagram structure by introducing a "real-time operating status vector of medical equipment," embedding dynamic operating data into the graph model to replace the traditional static list method and improve the ability to express equipment status. The diagram structure is iterated and updated multiple times using "department affiliation" and "equipment type importance" to avoid repeated trips due to the chaotic distribution of equipment during asset inventory, thereby improving inventory efficiency and controllability. Based on IoT-based collection of device status data, assets are dynamically replenished, enabling automatic detection of asset anomalies and timely replacement of missing devices, thus ensuring asset integrity. By comparing the device ID number with two inventory counts, the system can accurately locate abnormal or missing devices, supporting automated diagnosis and real-time asset correction, thus reducing the burden of manual intervention. Attached Figure Description
[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a schematic diagram of the overall method steps of the Internet of Things-based asset management method for medical devices according to the present invention. Detailed Implementation
[0016] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention. Example
[0017] Reference Figure 1 The first embodiment of the present invention provides an asset management method for medical devices based on the Internet of Things, comprising the following steps: S1: Build an asset inventory model based on Internet of Things (IoT) technology.
[0018] Specifically, the asset inventory model based on IoT technology is constructed by generating real-time operational status vectors for all medical devices. Based on the correlation between these vectors, an IoT-based medical device asset inventory model is built. The specific implementation is as follows: For all medical equipment in the hospital, if we construct a real-time operating state vector corresponding to each medical equipment, then we have: Let the total number of medical devices in the hospital be n, the total number of different types of medical devices be m, each medical device have a unique ID number, and each medical device have a corresponding responsible department. Then, we have... Construct a real-time operating status vector for any medical device. , ,in, Indicates the current time. The ID number corresponding to each medical device Indicates the current time. Each medical device corresponds to a different equipment type, and the level of importance varies. The specific importance is determined by the implementers based on the actual application scenario. Indicates the current time's... The responsible department corresponding to each medical device Indicates the current time. Location information corresponding to each medical device Indicates the current time. The operational status vector of each medical device This indicates the total number of medical devices in the hospital. This represents the set of operational state vectors for all medical devices at the current moment.
[0019] Based on the constructed real-time operating status vector of the medical equipment, a basic graph structure for medical equipment asset inventory is constructed, specifically as follows: Based on the location information in the real-time operating status vector of the medical devices, each medical device is treated as a data node, and the location information of the node is the location information in the real-time operating status vector. The relationships between each medical device are represented by the edge connections between nodes; Based on the determined node location information and edge connection relationships, construct the basic graph structure for medical equipment asset inventory. ,in, Let represent the set of nodes in the basic graph structure. The total number of nodes in the set should match the total number of medical devices and satisfy the formula . ,in, This represents the first node in the basic graph structure. Represents the first in the basic graph structure 1 node This represents the set of edges in a basic graph structure, consisting of the edge connections between nodes. This represents the basic diagram structure of the constructed medical equipment asset inventory.
[0020] Based on the constructed basic graph structure for medical equipment asset inventory, the relationships between medical equipment are calculated. Based on these calculated relationships, the edge connections of the basic graph structure are updated. Through iterative updates of the edge connections, the optimal asset inventory path for medical equipment is determined to improve the efficiency of subsequent medical equipment asset management. The specific implementation is as follows: Randomly select any medical device node in the basic graph structure This serves as the starting point for the optimal asset inventory path. Based on the determined initial point, the edge connectivity of the basic graph structure is iteratively updated by calculating the spatial distance between the starting point and other nodes. Specifically: Extract the position coordinates of the initial point Calculate the spatial distance between the initial point and other nodes, and take the node with the shortest spatial distance as the next node after the initial point. Then, we have...
[0021] in, Represents the first node in the set of nodes. Location coordinates of each node This represents the next node after the initial point, which is the node that is spatially closest to the initial point. The next node of the initial point Once determined, continue calculating the next node. The node with the closest spatial distance is used to determine the second node after the initial point. ; The process continues until all nodes after the initial point are sorted. Based on the determined node order, edge connections are constructed sequentially to generate the initial graph structure of the medical device.
[0022] For the generated initial medical equipment graph structure, the initial medical equipment graph structure is iteratively updated based on the responsible department of each node. The specific implementation is as follows: Extract the responsible department corresponding to all nodes in the initial graph structure of the medical equipment, and iterate the edge connection relationships between nodes according to the extracted responsible department and the dual constraints of nearest spatial distance. Specifically: Select the initial point in the initial diagram structure of the medical device. And extract the corresponding responsible department. Based on the extracted responsible departments, nodes belonging to the same responsible departments are selected from the nodes in the initial diagram structure of the medical equipment. Then, we have... In the initial graph structure, the nodes belonging to the same responsible department as the initial point are used as the initial point and the candidate set of subsequent nodes. Based on the determined candidate set of the next node, calculate the spatial distance between all nodes in the candidate set of the next node and the initial point, and determine the nodes after the initial point in order of increasing spatial distance until all nodes in the candidate set of the next node are sorted. This indicates that the edge connection relationship of the nodes belonging to the same responsible department as the initial point has been iteratively updated. After the node edge connection relationship of the same responsible department as the initial point is iteratively updated, the similarity between the responsible departments of other nodes and the responsible departments of the initial point is calculated based on the responsible department of the initial point. The nodes are sorted in descending order of similarity to represent the candidate set of the next node. The subsequent candidate sets of nodes are sorted in order of similarity. After the sorting of the candidate node set after the candidate node set is completed, calculate the spatial distance between the last node in the previous candidate set and all nodes in the adjacent candidate sets, and select the node with the closest spatial distance as the first node in the adjacent candidate set. Once the first node in the adjacent candidate set is determined, the nodes in the same candidate set are arranged in ascending order of spatial distance from the previous node until the last node in the last candidate set is arranged. Based on the determined node order, edge connections are constructed sequentially, which indicates that the iteration of edge connections in the first-generation graph structure of the medical device is completed, and the second-generation graph structure of the medical device is generated.
[0023] For the generated second-generation graph structure of medical devices, the edge connection relationships of the second-generation graph structure are iteratively updated based on the medical device type in the nodes, specifically as follows: For the second-generation graph structure of medical equipment, for the candidate set of nodes with the same responsible department, extract the medical equipment type corresponding to all nodes in the candidate set. The nodes within the candidate set are reordered according to their importance based on the type of medical equipment, from highest to lowest importance, until all nodes within the candidate set have been reordered. Then, edge connections are constructed sequentially based on the reordered node order, indicating that the iteration of edge connections in the second-generation graph structure of the medical equipment is complete, generating the optimal graph structure of the medical equipment, and the construction of the medical equipment asset inventory model is completed based on the edge connections of the optimal graph structure of the medical equipment.
[0024] It should be noted that the inventory of medical equipment assets is based on the edge connections of the constructed medical equipment asset inventory model, which means that the asset inventory is carried out according to the optimal path of medical equipment asset inventory.
[0025] S2: Asset management based on the constructed medical equipment asset inventory model.
[0026] Specifically, the asset management based on the constructed medical equipment asset inventory model involves managing the corresponding medical equipment assets according to the determined optimal path and the node order within that path. This includes managing medical equipment assets by equipment type and by the responsible department. The specific implementation is as follows: Medical equipment asset management based on equipment type involves collecting data on the equipment type in the real-time operating status of medical equipment along the optimal path, and then, based on the total number of different types of medical equipment, implementing asset management according to equipment type. This results in...
[0027] in, Indicates the first The amount of medical equipment data corresponding to each equipment type This indicates the total number of different types of medical equipment. This indicates the quantity of medical equipment assets inventoried according to equipment type.
[0028] Asset management of medical equipment based on the responsible department involves collecting data on the amount of medical equipment data in each department based on the real-time operational status of the equipment along the optimal path. Furthermore, based on the number of departments, asset management of medical equipment is implemented according to the responsible department. Specifically:
[0029] in, Indicates the first The amount of medical equipment data corresponding to each responsible department Indicates the total number of departments. This indicates the quantity of medical equipment assets inventoried according to the responsible department.
[0030] Furthermore, regarding the quantity of medical equipment assets from the two inventory checks, a deduplication and gap-filling mechanism is used to achieve asset management of medical equipment, specifically as follows: Regarding the two inventory checks of medical equipment assets as well as Extract the ID numbers of all medical devices from both sets of medical devices, sort the extracted ID numbers in descending order, and then filter out the number of medical devices with duplicate ID numbers. And by deleting duplicate medical equipment counts, thus achieving complete asset quantity management of medical equipment, we have:
[0031] in, This indicates the quantity of medical equipment assets inventoried according to equipment type. This indicates the quantity of medical equipment assets inventoried by the responsible department. This indicates the number of medical devices with duplicate IDs selected during the filtering process. This indicates the total number of medical equipment assets.
[0032] Furthermore, based on the determined total number of medical equipment assets and the real-time operating status of the medical equipment, dynamic replenishment of medical equipment is carried out, specifically as follows: Based on the determined total asset quantity of medical devices and the real-time operating status of medical equipment. ; Setting the normal operating status of medical equipment And based on the normal operating status of the medical equipment, determine whether the medical equipment is operating safely, specifically: If the comparison between the real-time operating status of the medical equipment and the set normal operating status satisfies the formula This indicates that the current medical equipment is in an abnormal operating state, and the amount of data related to the abnormal medical equipment is recorded. Based on the recorded amount of data related to the abnormal medical equipment, the medical equipment is replenished in real time, and the total number of medical equipment assets after replenishment is not less than the determined total number of medical equipment assets. .
[0033] It should be noted that, in the ongoing asset management of medical equipment, if a definite total number of medical equipment assets is found... The total number of medical equipment assets is lower than the previously determined figure. This indicates that during ongoing asset management, some medical devices have experienced abnormal conditions. The abnormal medical devices are precisely located using their ID numbers. Specifically: The medical equipment from the two inventories was compared according to its ID number. The medical equipment corresponding to the missing ID number was located, the medical equipment that was not operating properly was removed, and new medical equipment was added in a timely manner to ensure the real-time nature of asset management. Example
[0034] A second embodiment of the present invention provides an asset management system for medical devices based on the Internet of Things, including an asset inventory model construction module and a medical device asset management module; Specifically, the asset inventory model construction module is used to construct a medical equipment asset inventory model; the medical equipment asset management module performs asset management based on the constructed medical equipment asset inventory model. Furthermore, the asset inventory model construction module constructs a real-time operating status vector for all medical equipment in the hospital; based on the constructed real-time operating status vectors, it constructs a basic graph structure for medical equipment asset inventory; based on the constructed basic graph structure, it calculates the relationships between medical equipment and updates the edge connections of the basic graph structure; through iterative updates of the edge connections of the basic graph structure, it determines the optimal asset inventory path for medical equipment, thereby improving the efficiency of subsequent medical equipment asset management. The medical equipment asset management module manages the assets of corresponding medical equipment according to the determined optimal path and the order of nodes in the optimal path. This includes managing the assets of medical equipment according to equipment type and according to the responsible department.
[0035] Furthermore, if the aforementioned function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0036] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.
[0037] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.
[0038] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.
Claims
1. An asset management method for medical devices based on the Internet of Things, characterized in that: Includes the following steps, An asset inventory model is built based on Internet of Things (IoT) technology, specifically as follows: Construct real-time operating status vectors for all medical devices, and based on these vectors, build the basic graph structure for medical device asset inventory. Based on the initial point of the basic graph structure, the edge connection relationship of the basic graph structure is iteratively updated by calculating the spatial distance between the starting point and other nodes, thereby generating the initial graph structure of the medical device. The initial medical equipment graph structure is iteratively updated by the responsible department of each node to generate the second-generation medical equipment graph structure. This includes the construction of a candidate set of nodes based on the responsible department and the updating of the node sorting in the candidate set. By iteratively updating the edge connection relationships of the second-generation graph structure of medical equipment based on the type of medical equipment in the nodes, the medical equipment asset inventory model is completed. Furthermore, the corresponding medical equipment assets are managed according to the constructed medical equipment asset inventory model. At the same time, the medical equipment is dynamically replenished based on the real-time operating status of the medical equipment, according to the determined total number of medical equipment assets.
2. The asset management method for medical devices based on the Internet of Things according to claim 1, characterized in that, The basic diagram structure for constructing a medical equipment asset inventory is as follows: Based on the location information in the real-time operating status vector of the medical devices, each medical device is treated as a data node, and the location information of the node is the location information in the real-time operating status vector. The relationships between each medical device are represented by the edge connections between nodes; Based on the determined node location information and edge connection relationships, construct the basic graph structure for medical equipment asset inventory. ,in, Let represent the set of nodes in the basic graph structure. The total number of nodes in the set should match the total number of medical devices and satisfy the formula . ,in, This represents the first node in the basic graph structure. Represents the first in the basic graph structure 1 node This represents the set of edges in a basic graph structure, consisting of the edge connections between nodes. This represents the basic diagram structure of the constructed medical equipment asset inventory.
3. The asset management method for medical devices based on the Internet of Things according to claim 2, characterized in that, The initial structure of the medical device is as follows: Extract the position coordinates of the initial point, calculate the spatial distance between the initial point and other nodes, and take the node with the shortest spatial distance as the next node of the initial point; The next node of the initial point Once determined, continue calculating the next node. The node with the closest spatial distance is used to determine the second node after the initial point. ; The process continues until all nodes after the initial point are sorted. Based on the determined node order, edge connections are constructed sequentially to generate the initial graph structure of the medical device.
4. The asset management method for medical devices based on the Internet of Things according to claim 3, characterized in that, The specific construction of the node candidate set based on the responsible department is as follows: In the initial graph structure, nodes belonging to the same responsible department as the initial point are used as the initial point and the candidate set of subsequent nodes. Based on the determined candidate set of the next node, calculate the spatial distance between all nodes in the candidate set of the next node and the initial point, and determine the nodes after the initial point in order of increasing spatial distance until all nodes in the candidate set of the next node are sorted. This indicates that the edge connection relationship of the nodes belonging to the same responsible department as the initial point has been iteratively updated. After the edge connection relationship of the node with the same responsible department as the initial point is iteratively updated, the similarity between the responsible departments of other nodes and the responsible departments of the initial point is calculated based on the responsible department of the initial point. The nodes are then sorted in descending order of similarity to represent the candidate set of the next node. The subsequent candidate sets of nodes are then sorted in order of similarity.
5. The asset management method for medical devices based on the Internet of Things according to claim 4, characterized in that, The node sorting update in the candidate node set is as follows: After the sorting of the candidate node set after the candidate node set is completed, calculate the spatial distance between the last node in the previous candidate set and all nodes in the adjacent candidate sets, and select the node with the closest spatial distance as the first node in the adjacent candidate set. Once the first node in the adjacent candidate set is determined, the nodes in the same candidate set are arranged in ascending order of spatial distance from the previous node until the last node in the last candidate set is arranged. Based on the determined node order, edge connections are constructed sequentially, which indicates that the iteration of edge connections in the first-generation graph structure of the medical device is completed, and the second-generation graph structure of the medical device is generated.
6. The asset management method for medical devices based on the Internet of Things according to claim 5, characterized in that, The specific steps for iteratively updating the edge connection relationships of the second-generation graph structure of medical devices are as follows: For the second-generation graph structure of medical equipment, for the candidate set of nodes with the same responsible department, extract the medical equipment type corresponding to all nodes in the candidate set. The nodes within the candidate set are reordered according to their importance based on the type of medical equipment, from highest to lowest importance, until all nodes within the candidate set have been reordered. Then, edge connections are constructed sequentially based on the reordered node order, indicating that the iteration of edge connections in the second-generation graph structure of the medical equipment is complete, generating the optimal graph structure of the medical equipment, and the construction of the medical equipment asset inventory model is completed based on the edge connections of the optimal graph structure of the medical equipment.
7. The asset management method for medical devices based on the Internet of Things according to claim 6, characterized in that, The specific details of the medical equipment asset management based on the constructed medical equipment asset inventory model are as follows: This includes asset management of medical equipment based on equipment type, specifically: Collect the amount of medical equipment data corresponding to each equipment type, and realize asset management of medical equipment according to equipment type based on the total number of medical equipment types; In addition, the asset management of medical equipment shall be carried out according to the responsible department, specifically as follows: Collect data on the amount of medical equipment in each responsible department, and at the same time, realize asset management of medical equipment according to the number of departments and their respective responsible departments.
8. The asset management method for medical devices based on the Internet of Things according to claim 7, characterized in that, The specific details of dynamically replenishing medical equipment based on its real-time operating status are as follows: Based on the determined total asset quantity of medical devices and the real-time operating status of medical equipment. ; Setting the normal operating status of medical equipment And based on the normal operating status of the medical equipment, determine whether the medical equipment is operating safely, specifically: If the comparison between the real-time operating status of the medical equipment and the set normal operating status satisfies the formula If the current medical equipment is in an abnormal operating state, the amount of data of the medical equipment in an abnormal operating state is recorded. Based on the recorded amount of data of the medical equipment in an abnormal operating state, the medical equipment is replenished in real time. Furthermore, the total number of medical equipment assets after replenishment is not less than the determined total number of medical equipment assets.
9. The asset management method for medical devices based on the Internet of Things according to claim 8, characterized in that, In the ongoing asset management of medical devices, if a definite total number of medical device assets is identified... The total number of medical equipment assets is lower than the previously determined figure. This indicates that during ongoing asset management, an abnormal condition of medical equipment has occurred. The abnormal medical equipment is precisely located using its ID number. Specifically: The medical equipment from the two inventories was compared according to its ID number. The medical equipment corresponding to the missing ID number was located, the medical equipment that was not operating properly was removed, and new medical equipment was added in a timely manner to ensure the real-time nature of asset management.
10. An asset management system for medical devices based on the Internet of Things (IoT), applied to the asset management method for medical devices based on the IoT as described in claims 1-9, characterized in that, This includes an asset inventory model building module and a medical equipment asset management module; The asset inventory model construction module is used to construct a medical equipment asset inventory model; The medical equipment asset management module manages assets based on a constructed medical equipment asset inventory model.