Medical instrument equipment position dynamic trajectory tracking intelligent management system

Abstract

The invention discloses a medical instrument equipment position dynamic trajectory tracking intelligent management system, and relates to the technical field of medical equipment management.The medical instrument equipment to be managed is tagged and labeled through a trajectory data mining unit, and a trajectory database is mined based on equipment position features; the multi-element management construction unit is used for constructing an intelligent management block by combining the track database according to multi-element management dimensions; an equipment tracking and state analysis unit receives equipment updating information, performs equipment tracking and state analysis in combination with the intelligent management block, and generates an equipment data stream; and the equipment position management unit reversely acts the equipment data flow on a plurality of functional modules to perform equipment position management. According to the method and the device, the technical problems that the position and the real-time state of the equipment cannot be obtained in time due to low management efficiency and poor real-time performance of the medical instrument in the prior art, and the use and the maintenance of the equipment are influenced are solved, and the real-time performance, the accuracy and the management efficiency of the medical instrument management are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment management, and in particular to an intelligent management system for tracking the dynamic trajectory of medical instrument and equipment locations. Background Art

[0002] With the development of medical technology, the types and quantity of equipment owned by medical institutions are increasing, which puts higher requirements on management. Traditional medical equipment management methods mainly rely on manual records and tracking, including paper records, spreadsheets and other methods. Medical staff need to spend a lot of time recording the use and maintenance logs of equipment, which not only takes up valuable medical resources, but also increases the workload. Secondly, manual records are prone to errors. Due to human factors, such as recording errors or information omissions, equipment management may be inaccurate, affecting the continuity of medical services. In addition, traditional methods cannot provide real-time data, and it is difficult for managers to quickly understand the real-time status and usage of equipment, resulting in delayed management decisions, untimely cleaning, disinfection and quality inspection of instruments and equipment, affecting use.

[0003] In summary, the management of medical instruments in the prior art usually relies on manual recording and tracking, which has the technical problems of low management efficiency and poor real-time performance. Summary of the invention

[0004] The present application provides an intelligent management system for dynamic trajectory tracking of the location of medical instruments and equipment, which solves the technical problem in the prior art that medical instrument management usually relies on manual recording and tracking, has low management efficiency and poor real-time performance, resulting in the inability to obtain the equipment location and real-time status in a timely manner, thereby affecting the use and maintenance of the equipment, and achieves the technical effect of improving the real-time, accuracy and management efficiency of medical instrument management.

[0005] In view of the above problems, the present application provides an intelligent management system for dynamic trajectory tracking of medical instrument and equipment locations, the system comprising: a trajectory data mining unit, the trajectory data mining unit is used to code and label pre-managed medical instruments and equipment, and mine the trajectory database based on the equipment location characteristics, wherein the equipment location characteristics include a mapping relationship based on spatial location-scene-time limit, and each medical instrument and equipment has a unique label; a multi-management construction unit, the multi-management construction unit is used to construct an intelligent management block in combination with the trajectory database for multi-management dimensions, wherein the intelligent management block includes multiple functional modules, and the modules are coordinated based on the upper device, and the multiple functional modules correspond one to one with the multi-management dimensions; an equipment tracking and status analysis unit, the equipment tracking and status analysis unit is used to receive equipment update information, and in combination with the intelligent management block, performs equipment tracking and status analysis, and generates an equipment data stream, wherein the equipment update information is obtained based on infrared sensing, and the equipment data stream is used to generate an equipment management report; an equipment location management unit, the equipment location management unit is used to reverse the equipment data stream to multiple functional modules to perform equipment location management.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The trajectory data mining unit codes and labels the pre-managed medical instruments and equipment to ensure that each device has a unique identity. On this basis, it mines the location characteristics of the equipment and establishes a trajectory database based on spatial location, scene and time limit three-dimensional mapping to record the detailed historical movement trajectory of the equipment and provide basic data for subsequent management. The multi-management construction unit constructs an intelligent management block based on the multi-management dimension and the trajectory database, wherein the intelligent management block contains multiple functional modules, each of which matches a specific management dimension, covering multiple management dimensions such as equipment status monitoring, maintenance warning, and location tracking. The module is coordinated based on the upper device to ensure that the functional modules work together to form a complete management system, improve the flexibility and adaptability of management, and meet the management needs of different scenarios. The equipment tracking and status analysis unit receives the equipment update information, combines the intelligent management block, performs equipment tracking and status analysis, and generates equipment data streams to understand the status and location of the equipment in real time, so as to facilitate timely response and processing. Among them, the equipment update information is obtained based on infrared sensing, and the equipment data stream is used to generate equipment management reports. The device location management unit reversely acts on the device data flow to multiple functional modules to perform device location management, optimize device layout and usage strategy, and improve management efficiency.

[0008] In summary, this application realizes efficient, accurate and real-time management of medical instruments by integrating the above-mentioned functional units, can track the location and status information of medical instruments in real time, improve the convenience and efficiency of the use and maintenance of medical instruments, and also help reduce maintenance costs and ensure the continuity of medical services.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A schematic diagram of the structure of an intelligent management system for dynamic trajectory tracking of medical instrument and equipment locations provided in an embodiment of the present application.

[0011] Figure 2 A schematic diagram of a process for generating a type of trajectory database in an intelligent management system for dynamic trajectory tracking of medical instrument and equipment locations provided in an embodiment of the present application.

[0012] Figure 3 A schematic diagram of a process for generating equipment management reports in an intelligent management system for dynamic trajectory tracking of medical instrument locations provided in an embodiment of the present application.

[0013] Description of the reference numerals: trajectory data mining unit 10 , multivariate management construction unit 20 , device tracking and status analysis unit 30 , device location management unit 40 . DETAILED DESCRIPTION

[0014] The embodiment of the present application provides an intelligent management system for dynamic tracking of the location of medical instruments and equipment. By coding and labeling the equipment, the equipment location characteristics based on space, scene and time are recorded and mined to form a trajectory database; an intelligent management block is constructed and multiple functional modules are set; infrared sensing technology is used to obtain equipment update information in real time, and the equipment is tracked and status analyzed in combination with the intelligent management block to generate equipment data streams; the equipment data stream acts inversely on the functional module to manage the equipment location. The technical problem that the management of medical instruments in the prior art usually relies on manual recording and tracking, with low management efficiency and poor real-time performance, resulting in the inability to obtain the equipment location and real-time status in a timely manner, thus affecting the use and maintenance of the equipment is solved, and the technical effect of improving the real-time performance, accuracy and management efficiency of medical instrument management is achieved.

[0015] like Figure 1 As shown, the embodiment of the present application provides an intelligent management system for dynamic trajectory tracking of medical instrument and equipment positions, the system comprising:

[0016] The trajectory data mining unit 10 is used to code and label pre-managed medical instruments and equipment, and mine the trajectory database based on the equipment location characteristics, wherein the equipment location characteristics include a mapping relationship based on spatial location-scene-time limit, and each medical instrument and equipment has a unique label.

[0017] Specifically, the trajectory data mining unit 10 adds a unique coding tag to the medical device and records the device's location, time, status and other information, thereby forming a trajectory database of the device. The trajectory database collects and stores trajectory data such as the dynamic motion path and stop point information of the medical instrument.

[0018] The trajectory data mining unit 10 first assigns a unique identification code (such as a barcode or RFID tag) to each medical instrument that needs to be managed, and attaches it to the device by labeling. For example, an RFID tag is attached to an electrocardiograph, which stores information such as the device model and serial number. Through RFID readers, QR code scanners and other devices, the location information of the device during use is collected, including the specific spatial location of the device, and the usage scenario and usage time of the spatial location. Using data analysis software, the collected location information is parsed, the specific spatial location, usage scenario, and usage time of each device are associated, a mapping relationship between spatial location-scenario-time limit is established, and multiple device location features corresponding to the device identification code are generated. Based on these device location features, the movement law of each medical instrument that needs to be managed is extracted to form a trajectory database.

[0019] Through the trajectory database, we can understand the usage frequency, specific usage time range, specific usage scenarios and other usage pattern information of medical instruments and equipment, providing historical data support for subsequent equipment location management.

[0020] The multi-management construction unit 20 is used to construct an intelligent management block for the multi-management dimensions in combination with the trajectory database, wherein the intelligent management block includes multiple functional modules, and the modules are coordinated based on the upper device, and the multiple functional modules correspond one-to-one to the multi-management dimensions.

[0021] Specifically, the multi-management construction unit 20 analyzes the data in the trajectory database from multiple perspectives of medical instrument and equipment management, constructs a specific functional module for each management dimension, and forms an intelligent management block through unified coordination by the upper device, thereby achieving comprehensive coverage of medical instruments and equipment and improving management efficiency and equipment utilization effectiveness.

[0022] The multi-management dimension includes multiple dimensions such as equipment basic information management, location tracking management, information retrieval management, abnormal location warning, equipment hygiene management, equipment health management and summary report management. The multi-management construction unit 20 constructs a functional module for each management dimension to form an intelligent management block including multiple modules such as equipment information entry module, location kanban module, query module, intelligent warning module, cleaning and disinfection module, quality inspection module, and report generation module. Among them, the equipment information entry module supports users to customize the detailed information of the equipment, including model, production date, purchase date, use department, etc. The location kanban module obtains and visualizes the precise location of the equipment. The query module supports keyword search to query equipment location, disinfection maintenance, quality inspection and other information. The intelligent warning module is used to issue a warning signal when the instrument and equipment are out of the predetermined position to prevent the equipment from being lost or misplaced. The cleaning and disinfection module provides reminders for instrument disinfection and automatically records disinfection to facilitate tracking of disinfection history. The quality inspection module regularly issues quality inspection reminders and records the results after quality inspection to ensure the long-term good operation of the equipment. The report generation module automatically generates cleaning and disinfection records, quality inspection records, location changes and total statistics reports.

[0023] The device tracking and status analysis unit 30 is used to receive device update information, and in combination with the intelligent management block, perform device tracking and status analysis to generate a device data stream, wherein the device update information is obtained based on infrared sensing, and the device data stream is used to generate a device management report.

[0024] Specifically, the device tracking and status analysis unit 30 receives the latest location and status information about the device captured in real time by the infrared sensor, that is, the device update information. Through the various functional modules of the intelligent management block, the device update information is analyzed, the device location is accurately located and the device status is evaluated, and a continuous device data stream is generated. For example, the cleaning and disinfection module is used to evaluate whether the device has been disinfected and is ready for use; the quality inspection module is used to detect the health status of the device and determine whether the device needs maintenance, etc.

[0025] The generated equipment data streams include the real-time location, usage status, maintenance records and other information of medical instruments and equipment, which are used to generate equipment management reports to accurately reflect the usage and status of the equipment, so as to better manage and maintain the equipment.

[0026] The device location management unit 40 is used to reverse the device data flow to multiple functional modules to perform device location management.

[0027] Specifically, the device location management unit 40 receives the device data stream from the device tracking and status analysis unit 30, which contains the real-time location and status information of the device. These device data streams are interpreted, the location changes and potential needs of the device are analyzed, and device location adjustment instructions are generated based on the analysis results. The instructions are fed back to multiple functional modules in the intelligent management block, such as the intelligent early warning module, quality inspection module, etc., to ensure that the device location and usage status meet the expected management strategy. For example, by analyzing the device data stream, the current specific location of the device is determined, and a bias analysis is performed to compare the current location of the device with the expected location. When the comparison result shows that the device position deviates from the expected position, the intelligent early warning module is triggered to issue a position bias warning. The biased position information of the device is fed back to the query module and the location dashboard module for user query.

[0028] Further, such as Figure 2 As shown, the trajectory data mining unit 10 of the embodiment of the present application is also used to perform the following steps:

[0029] Traverse the medical instruments and equipment and call historical trajectory records; extract the first historical trajectory record of the first medical instrument and equipment, perform clustering processing on the location features, and determine N clusters; traverse the N clusters, mine M equipment location features, where M is a positive integer less than or equal to N, and perform cluster screening based on the preset number of clusters; integrate the M equipment location features and perform equipment attribution marking, and add them into a type of trajectory database.

[0030] Specifically, first, all medical instruments and equipment are traversed, and the historical trajectory records of each medical instrument and equipment are called, including all past moving paths and stop points. A device is randomly selected from all medical instruments and equipment, recorded as the first medical instrument and equipment, and its corresponding historical trajectory record is extracted, recorded as the first historical trajectory record.

[0031] A clustering algorithm, such as K-Means and DBSCAN, is used to perform cluster analysis on multiple location features in the first historical trajectory record, and similar location features are divided into a cluster to form N clusters representing different usage scenarios or time periods, where N is a positive integer.

[0032] A cluster number is preset as the lower limit of the total number of data points in the cluster. The number of location features in each cluster is compared with the preset number of clusters, and M clusters with a total number of data points greater than or equal to the preset number of clusters are further selected from the N clusters to determine the M most representative location features, where M is a positive integer less than or equal to N. These M clusters represent the most frequently used and most frequently visited location information.

[0033] The selected M location features are integrated, and a device ownership tag is added to each feature to clarify the device to which the feature belongs. These location features with device ownership tags are stored in a type of trajectory database to establish a detailed device usage pattern file.

[0034] The trajectory data mining unit 10 mines the high-frequency usage patterns and distribution of devices through in-depth analysis of historical trajectories, provides data support for subsequent device management, and improves the accuracy of device management.

[0035] Furthermore, the trajectory data mining unit 10 of the embodiment of the present application is also used to perform the following steps:

[0036] Traversing the N clusters, screening out X clusters whose number is less than the preset clusters; mining X equipment location information based on the X clusters, wherein the X equipment location information is marked with probability; integrating the X equipment location information and marking the equipment attribution, and adding the information into the second-category trajectory database.

[0037] Specifically, a comprehensive review is conducted on the N previously determined clusters, and X clusters with a number of clusters less than the preset number of clusters are screened out, where X = NM. These clusters represent location information that is less frequently accessed or in special situations. From the screened X clusters, the device location information is deeply mined, the number of device appearances in each cluster is counted, and its ratio to the total number of device appearances in the X clusters is calculated to determine the probability that the device appears in the location feature corresponding to the cluster. Based on the calculated probability, a probability label is assigned to each cluster. This label can be a simple probability value or a more complex label, such as "high", "medium", "low", etc. Integrate the X device location information, add the device ownership label to clarify the device to which it belongs, and add the integrated location information to the second category trajectory database.

[0038] Through the above steps, the trajectory data mining unit 10 not only focuses on the mainstream usage mode, but also deeply explores the location information of the device in special situations, providing more comprehensive and detailed data support for device management, and improving the comprehensiveness and flexibility of device management.

[0039] Furthermore, the trajectory data mining unit 10 of the embodiment of the present application is also used to perform the following steps:

[0040] Based on the first type of trajectory database, rigid trajectory information is generated and an early warning mode is configured; when the rigid trajectory information is met, the early warning mode is traversed to match and generate early warning information, and a dynamic trajectory early warning of the equipment is performed, and the early warning information is marked with an equipment tag.

[0041] Specifically, the device location information and attribution marks after clustering and feature mining are extracted from a type of trajectory database to identify and define the rigid trajectory of the device, that is, the path of the device when it is used in a high-frequency or fixed mode, which represents the normal or optimal movement route of the device. Based on the rigid trajectory information, rules or standards for identifying device position offsets or abnormal usage are set to detect whether the usage of the device deviates from the normal trajectory. For example, the rigid trajectory information of a specific surgical device is that it should be used in the operating room under normal circumstances and returned to a specific storage area after use. If the surgical device appears in a non-storage area during non-surgical time, an early warning message will be generated.

[0042] Continuously monitor the real-time location of the device. When the location characteristics of the device match the rigid trajectory information, that is, when they have the same usage time or usage scenario, compare the real-time location information of the device with the rigid trajectory information, and traverse the early warning mode according to the deviation between the two, match the early warning model corresponding to the current position deviation, and generate early warning information with device tags according to the early warning mode. The early warning information includes the specific device with position deviation and the deviation situation.

[0043] Furthermore, the multiple functional modules described in the embodiments of the present application are relatively independent and have data interaction and coordination.

[0044] Specifically, multiple functional modules of the intelligent management block can run independently and focus on specific management tasks. At the same time, information exchange, task coordination and resource sharing can be carried out between modules. For example, the data of the query module, cleaning and disinfection module, and quality inspection module need to be called by the location dashboard module to visually display equipment location, disinfection maintenance, quality inspection and other information to users. The independence of the modules ensures the flexibility and maintainability of the entire system. Specific functional modules can be optimized and updated without affecting other parts; and information sharing between modules ensures data consistency and the overall performance of the intelligent management block.

[0045] Furthermore, the device tracking and status analysis unit 30 of the embodiment of the present application is also used to perform the following steps:

[0046] If the device update information is multi-channel concurrent information, the device update information is prioritized based on computing power constraints to determine an information sequence; and device tracking and status analysis are performed on the information sequence.

[0047] Specifically, during the use of medical instruments and equipment, update information from multiple devices may be received at the same time. This information may be multi-channel concurrent, that is, sent from multiple sources at the same time. Due to limited computing resources, it is necessary to prioritize multi-channel concurrent information based on computing power constraints to ensure that important information is processed first.

[0048] Prioritize device update information based on its urgency, importance, or impact. For example, device failure information may have a higher priority than information about a slight device position shift. Generate a sequence of information to be processed based on the priority of each device update information. The information in the sequence is arranged from high to low priority to ensure that high-priority information is processed first. In the case of limited computing power, the information sequence can be split into several batches for processing, and each batch is processed in sequence to ensure the reasonable allocation of computing power. According to the sorted information sequence, device tracking and status analysis are carried out in sequence to achieve orderly processing of multiple concurrent information.

[0049] Furthermore, the device location management unit 40 in the embodiment of the present application is also used to perform the following steps:

[0050] The device data stream is identified, a position bias determination is performed, and a bias determination result is generated, wherein the position bias determination is constrained by a preset bias tolerance interval; if the bias determination result is yes, bias warning information is generated.

[0051] Specifically, the preset bias tolerance interval is the allowable position deviation range, which defines the degree to which the device position can deviate from the normal trajectory. If the deviation exceeds this range, it is considered as a position abnormality. The device position management unit 40 receives the device data stream and identifies the real-time position data of each medical instrument and device. The real-time position of the device is compared with the preset trajectory information, the deviation between the real-time position and the preset trajectory is calculated, and the device position deviation is compared with the preset bias tolerance interval to determine whether the device position deviation exceeds the allowable range, and a bias determination result is generated based on the comparison result. If the device position is within the preset bias tolerance interval, the bias determination result is "no"; if the device position deviation exceeds the preset bias tolerance interval, the bias determination result is "yes". The device position management unit 40 randomly generates bias warning information and feeds it back to the intelligent warning module of the intelligent management block, which is reported by the intelligent warning module. The warning information contains detailed information such as the identification information, current position, expected position, and degree of deviation of the device, so that management personnel can quickly identify the problem and take corresponding measures.

[0052] Through the above steps, the device location management unit 40 can monitor the location of the device in real time, and promptly detect and report any behavior that deviates from the normal trajectory, thereby ensuring the safe use of the device and the continuity of medical services.

[0053] Further, such as Figure 3 As shown, the system described in the embodiment of the present application is also used to perform the following steps:

[0054] Set an equipment management cycle; based on the equipment management cycle, integrate the equipment data flow within the cycle to determine the periodic data flow; interact with the report template, extract information and convert the template of the periodic data flow to generate the equipment management report.

[0055] Specifically, set the equipment management cycle for equipment status monitoring and data analysis, which can be set as a daily, weekly or monthly cycle. In each cycle, continuously record the equipment data stream collected from the equipment and integrate it into a periodic data stream at the end of the cycle. Interactively obtain predefined report templates, which can be customized according to the specific needs of the hospital. Through the data analysis tool, extract relevant data from the periodic data stream, and convert it according to the requirements of the report template to generate an equipment management report. For example, information such as the frequency of use of the equipment, disinfection time, quality inspection cycle, quality inspection results, number of instruments, abnormal equipment location, etc. may be extracted.

[0056] Through the above steps, equipment management reports can be generated regularly to systematically display equipment management information, helping managers to better understand the usage and status of medical instruments and equipment.

[0057] In summary, the medical equipment location dynamic trajectory tracking intelligent management system provided by the embodiment of the present application has the following technical effects:

[0058] The trajectory data mining unit 10 codes and labels the pre-managed medical instruments and equipment to ensure that each device has a unique identity. On this basis, it mines the location characteristics of the equipment, establishes a trajectory database based on spatial location, scene and time limit three-dimensional mapping, records the detailed historical movement trajectory of the equipment, and provides basic data for subsequent management. The multi-management construction unit 20 combines the trajectory database to construct an intelligent management block for the multi-management dimension, wherein the intelligent management block includes multiple functional modules, each functional module matches a specific management dimension, covers multiple management dimensions such as equipment status monitoring, maintenance warning, and location tracking, and coordinates the modules based on the upper device to ensure that the functional modules work together to form a complete management system, improve the flexibility and adaptability of management, and meet the management needs of different scenarios. The equipment tracking and status analysis unit 30 receives the equipment update information, combines the intelligent management block, performs equipment tracking and status analysis, and generates equipment data streams to understand the status and location of the equipment in real time, so as to facilitate timely response and processing. Among them, the equipment update information is obtained based on infrared sensing, and the equipment data stream is used to generate equipment management reports. The device location management unit 40 reversely acts on the device data flow to multiple functional modules to perform device location management, optimize device layout and usage strategy, and improve management efficiency.

[0059] Overall, the embodiments of the present application achieve efficient, accurate and real-time management of medical instruments through the coordinated work of the above-mentioned functional units, can track the location and status information of medical instruments in real time, improve the convenience and efficiency of the use and maintenance of medical instruments, and also help reduce maintenance costs and ensure the continuity of medical services.

[0060] Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the drawings are merely exemplary illustrations of the present application as defined herein and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. An intelligent management system for tracking the dynamic trajectory of medical equipment, characterized in that: The system comprises: A trajectory data mining unit, which is used to perform coding and labeling on pre-managed medical instruments and equipment, and mine the trajectory database based on the equipment location characteristics, wherein the equipment location characteristics include a mapping relationship based on spatial location-scene-time limit, and each medical instrument and equipment has a unique label; A multi-management construction unit, the multi-management construction unit is used to construct an intelligent management block in combination with the trajectory database for the multi-management dimension, wherein the intelligent management block includes a plurality of functional modules, and the modules are coordinated based on the host device, and the plurality of functional modules correspond to the multi-management dimension one by one; A device tracking and status analysis unit, which is used to receive device update information, perform device tracking and status analysis in conjunction with the intelligent management block, and generate a device data stream, wherein the device update information is obtained based on infrared sensing, and the device data stream is used to generate a device management report; The device location management unit is used to reverse the device data flow to multiple functional modules to perform device location management.

2. The intelligent management system for tracking the dynamic trajectory of medical equipment and location as claimed in claim 1, characterized in that: The trajectory data mining unit is also used to perform the following steps: Traversing the medical instruments and equipment and calling historical track records; Extracting a first historical trajectory record of a first medical instrument and equipment, performing clustering processing on the location features, and determining N clusters; Traversing the N clusters, mining M device location features, where M is a positive integer less than or equal to N, and performing cluster screening based on a preset number of clusters; The M equipment location features are integrated and the equipment is marked as belonging to the equipment, and then added into a type of trajectory database.

3. The intelligent management system for dynamic trajectory tracking of medical equipment location as claimed in claim 2, characterized in that: The trajectory data mining unit is also used to perform the following steps: Traversing the N clusters, and selecting the X clusters whose number is less than the preset number of clusters; Based on the X-item clusters, mining X-item device location information, wherein the X-item device location information is marked with probability; The X items of device location information are integrated and the device ownership is marked, and added to the second-category trajectory database.

4. The intelligent management system for dynamic trajectory tracking of medical equipment location as claimed in claim 2, characterized in that: The trajectory data mining unit is also used to perform the following steps: Based on the first type of trajectory database, rigid trajectory information is generated, and an early warning mode is configured; When the rigid trajectory information is met, the warning pattern matching is traversed to generate warning information, and a dynamic trajectory warning of the equipment is performed, and the warning information is marked with a device tag.

5. The intelligent management system for dynamic trajectory tracking of medical equipment location as claimed in claim 1, characterized in that: The multiple functional modules are relatively independent and have data interaction and coordination.

6. The intelligent management system for dynamic trajectory tracking of medical equipment location as claimed in claim 1, characterized in that: After receiving the device update information, the device tracking and status analysis unit is further configured to perform the following steps: If the device update information is multi-channel concurrent information, the device update information is prioritized based on the computing power constraint to determine the information sequence; Device tracking and status analysis are performed for the information sequence.

7. The intelligent management system for dynamic trajectory tracking of medical equipment location as claimed in claim 1, characterized in that: The device location management unit is also used to perform the following steps: Identify the device data stream, perform position offset determination, and generate an offset determination result, wherein the position offset determination is constrained by a preset offset tolerance interval; If the bias determination result is yes, bias warning information is generated.

8. The intelligent management system for dynamic trajectory tracking of medical equipment location as claimed in claim 1, characterized in that: The system is also configured to perform the following steps: Set equipment management cycle; Based on the device management cycle, integrating the device data flows within the cycle to determine the periodic data flows; The interactive report template extracts information and performs template conversion on the periodic data stream to generate the device management report.

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