A full-process traceability management system for medical consumables

Abstract

The invention discloses a full-process traceability management system for medical consumables, which relates to the technical field of medical resource management, and comprises: a data storage layer: cloud storage and blockchain technology are adopted to ensure the security and integrity of traceability data, and encryption technology and access control are adopted to ensure the security and privacy of data; a data transmission layer, which uses the Internet of Things technology to ensure the real-time transmission and update of traceability data in each link, and determines the consumable data about the vehicle data in combination with vehicle data; a data transmission terminal, which obtains consumable data based on a consumable identification code, and updates the consumable data and transmits it to the data storage layer through the data transmission layer to improve the traceability data; determines the consumable location information and the consumable supply area location, and determines the consumable allocation data of each area according to the consumable usage data and the consumable transportation data; establishes a full-process traceability system for the traceability of medical consumables, and accurately stores the data of each link.

Description

Technical Field

[0001] The present invention relates to the technical field of medical resource management, and in particular to a full-process traceability management system for medical consumables. Background Art

[0002] The whole process traceability management of medical consumables is mainly reflected in the following aspects:

[0003] Improve safety: Through full-process traceability, it can be ensured that the source, transportation, storage and use of each consumable are recorded in detail, reducing the risk of counterfeit and shoddy products entering the medical system.

[0004] Improve management efficiency: Information systems and refined management methods make the management of consumables more efficient, reduce manual operation errors, and improve the accuracy of inventory management.

[0005] Reduce costs: By optimizing supply chain management and reducing waste, medical institutions can effectively reduce the procurement and management costs of consumables.

[0006] Compliance and transparency: Strict traceability management complies with national regulations and industry standards, improves the compliance and transparency of medical institutions, and helps build the trust of patients and the public.

[0007] Emergency response capability: When a medical incident or product recall occurs, the traceability system can quickly locate the problematic consumables and take timely measures to reduce the impact on patients.

[0008] Announcement No. CN111968731B discloses an intelligent management system for medical consumables, including a cabinet end and a system end; the cabinet end is used to place consumables, input the required consumables, perform identity authentication after inputting the required consumables, send the input consumables after successful identity authentication, and send consumables access information to the system end, the consumables access information includes access time, user, consumable type and quantity of each type; the system end is used to enter and store user identity information, store consumables access record information, generate account information based on consumables access information, and associate the account information with the user information. Through this solution, consumables can be accurately counted to avoid wrong collection, missed collection, etc.

[0009] The whole process traceability management usually includes the following information: basic product information, production information, raw material information, quality inspection information, logistics information, sales and usage information. Among them, the basic product information, production information, and quality inspection information are provided by the manufacturer, the raw material information is provided by the supplier, and the logistics information, sales and usage information are provided by the logistics company, distributors and hospitals respectively. Therefore, the whole process traceability management includes multiple comprehensive information.

[0010] Among them, since the whole process traceability management involves multiple process procedures, when there is a problem with medical consumables, it is necessary to trace the whole process of the batch of consumables to determine the link where the problem occurred or the location where the batch of consumables flowed, so as to be able to recover and dispatch them in time. However, in the existing traceability management, only the various time points in the batch of consumables can be obtained, and data uploading takes time. Therefore, the traceability of consumables can only determine the fuzzy location of consumables through time points, which is not conducive to traceability management. Therefore, it is necessary to provide a full-process traceability management system that can accurately locate consumables and dispatch consumables. Summary of the invention

[0011] One of the purposes of the present invention is to provide a full-process traceability management system for medical consumables, which can accurately locate the consumables and schedule the consumables.

[0012] To achieve the above objectives, the present invention is implemented through the following technical solutions: a full-process traceability management system for medical consumables, comprising:

[0013] Data storage layer: cloud storage and blockchain technology are used to ensure the security and integrity of traceability data, and encryption technology and access control are used to ensure data security and privacy;

[0014] The data transmission layer uses the Internet of Things technology to ensure the real-time transmission and update of traceability data in each link, and combines the vehicle data to determine the consumable data about the vehicle data;

[0015] The data transmission terminal obtains the consumable data based on the consumable identification code, and updates the consumable data and transmits it to the data storage layer through the data transmission layer to improve the traceability data;

[0016] The consumables scheduling model schedules and allocates consumables based on the consumables data, determines the location information of the consumables and the location of the consumables supply area, and determines the consumables allocation data for each area based on the consumables usage data and consumables transportation data;

[0017] The data analysis layer analyzes the traceability data of problematic consumables to determine the link where the problematic consumables are generated.

[0018] In one or more embodiments of the present invention, the data storage layer establishes a data tree based on the traceability data, and the data tree includes:

[0019] Root node: The root node is established based on the factory time. Each root node represents a factory time period.

[0020] Branch nodes: Extend branch nodes up and down according to different production batches, suppliers, and production line information;

[0021] Leaf node: Each leaf node represents a specific medical consumable and contains detailed traceability data;

[0022] When tracing consumables marks, the branch nodes extending from the root node up and down are retrieved through the consumable marks, and the leaf nodes are marked with the corresponding consumable marks.

[0023] In one or more embodiments of the present invention, the data transmission terminal corresponding to each link can transmit the traceability data of the link, and a distributed database corresponding to each link is established in the data storage layer. The distributed database is set with multiple partitions corresponding to the traceability data of each link.

[0024] In one or more embodiments of the present invention, the data transmission layer connects to the vehicle management system to detect the vehicle location, obtains the vehicle data of the transport vehicle based on the vehicle license plate recognition technology, binds the consumables data to the vehicle license plate, and through the recognition of vehicle license plates by different manufacturers, only the vehicle data needs to be uploaded to generate the consumables traceability data corresponding to the transport vehicle and update the traceability data.

[0025] In one or more embodiments of the present invention, the position of the transport vehicle is predicted based on the road information and the vehicle position:

[0026] Obtain road information and vehicle location. Road information includes road length, curvature, speed limit, traffic light location, and traffic signs. Obtain accurate vehicle location based on the road traffic control system.

[0027] Use road geometry information to build road models and synchronize traffic status information, including real-time traffic flow, road congestion, and accident information;

[0028] Build a motion model based on the vehicle’s current speed, acceleration, and direction to predict the vehicle’s future position;

[0029] Combine road information and traffic conditions to calculate the optimal driving path for the vehicle using a path planning algorithm;

[0030] Use the Kalman filter algorithm, combined with the vehicle's real-time position and motion model, to predict the vehicle's position at different time points;

[0031] Dynamic adjustment: Dynamically adjust the prediction results based on real-time traffic conditions and road information.

[0032] In one or more embodiments of the present invention, the dynamic model is established based on a combination of a uniform motion model and a uniform acceleration motion model:

[0033] The position calculation formula of the uniform motion model is:

[0034] ;

[0035] in, x t For time t The location at the moment, x 0 is the initial position, v for speed;

[0036] The position calculation formula of the uniform acceleration motion model is:

[0037] ;

[0038] in, v 0 is the initial velocity, a is the acceleration;

[0039] Determine the transport vehicle based on the change in vehicle speed through the uniform motion model and the uniform acceleration motion model t The position at the moment.

[0040] In one or more embodiments of the present invention, the time and location of occurrence of the problematic consumables and the nature of the problem are obtained, and it is determined whether the consumables of the same batch and process as the problematic consumables have the same characteristics as the problematic consumables;

[0041] Obtain traceability data of consumables from the same batch, determine the usage of consumables, retrieve the usage of problematic consumables and consumables from the same batch, collect characteristics of problematic consumables, and analyze the causes of problematic consumables.

[0042] In one or more embodiments of the present invention, the scope of the problematic consumables is determined, and the cause analysis is performed based on the scope of the problematic consumables:

[0043] Obtain the same features of the traceability data of the problematic consumables and determine the data range of the same features;

[0044] Obtain the same features of the traceability data of normal consumables and the traceability data of problematic consumables, and determine that there are different traceability data of normal consumables and problematic consumables with the same features;

[0045] Analyze different traceability data, obtain influencing factor data, and determine the causes corresponding to the influencing factor data.

[0046] In one or more embodiments of the present invention, the consumables scheduling model schedules consumables based on each supply area and the location information of the transport vehicle:

[0047] Determine regional needs: record the consumables demand, usage frequency and inventory status in each region;

[0048] Get the real-time location, transportation route and estimated arrival time of the transport vehicle;

[0049] Determine the base usage of each area as a basis for scheduling;

[0050] Set different scheduling priorities according to the importance and urgency of consumables;

[0051] Use Internet of Things (IoT) technology to monitor the usage and inventory status of consumables in each area in real time;

[0052] Obtain the dynamic model's prediction of the transport vehicle's position at different times;

[0053] Generate scheduling plans based on real-time data and scheduling models, and notify relevant personnel to execute them;

[0054] Establish a feedback mechanism to track the scheduling execution in real time and adjust the scheduling plan in time;

[0055] When problematic consumables are discovered, the traceability system is used to quickly locate the source of the problem and notify relevant areas to stop using them.

[0056] In one or more embodiments of the present invention, when problematic consumables occur and regional consumables cannot meet basic usage, the consumable transportation volume of transport vehicles within a certain range is determined, and the warehouse at the location of the transport vehicle is located, the vehicle location is predicted, and the road route is planned. The time it takes for the vehicle to reach the corresponding area after turning to the warehouse is calculated, and the shortest time transport vehicle is selected to change the corresponding route, and the consumables of the transport vehicle are used to supplement the area that cannot meet the basic usage of consumables.

[0057] Through the above technical solution, the present invention has the following beneficial effects:

[0058] 1. Establish a full-process traceability system for the traceability of medical consumables, accurately record the data of each link, so as to facilitate the traceability management of medical consumables and accurately record the data of medical consumables. When tracing the source, the detailed data of medical consumables can be analyzed more accurately and quickly, which improves the response speed of traceability management and ensures the efficiency and accuracy of traceability management.

[0059] 2. Determine the precise location of medical consumables during transportation or circulation through prediction, improve traceability efficiency, and dispatch medical consumables within a certain area based on the usage and consumption coverage of medical consumables, reduce the impact caused by unqualified batches of medical consumables, and avoid the impact of medical consumables on normal use during the entire traceability process.

[0060] 3. A data tree is established based on the factory time. The data tree contains all consumables within the factory time range, and different branch nodes are extended according to different transport vehicles. A large amount of consumable traceability data is stored in one data tree to reduce the volume of consumable traceability data. When tracing consumables, the traceability data can be retrieved more quickly.

[0061] 4. Analyze the problematic consumables based on the traceability data, quickly determine the link where the consumables have problems, combine the consumables retrieval model, and schedule the recycling of consumables in circulation to achieve rapid discovery and rapid response. Analyze the link where the problem occurs based on the traceability data, and determine the scope of the problem based on the impact of the link on the consumables. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 is a system block diagram of the present invention;

[0063] Figure 2 It is a data tree schematic diagram of the present invention. DETAILED DESCRIPTION

[0064] The following will disclose multiple embodiments of the present invention with the accompanying drawings. For the purpose of clear description, many practical details will be described together in the following description. However, it should be understood that these practical details should not be used to limit the present invention. In other words, in some embodiments of the present invention, these practical details are not necessary. And if it is possible to implement, the features of different embodiments can be applied interchangeably.

[0065] Unless otherwise defined, all words (including technical and scientific terms) used herein have their usual meanings, which can be understood by those familiar with this field. Furthermore, the definitions of the above words in commonly used dictionaries should be interpreted in the content of this specification as consistent with the meanings of the relevant fields of the present invention. Unless otherwise clearly defined, these words will not be interpreted as idealized or overly formal meanings.

[0066] See also Figure 1-Figure 2 The present invention provides a full-process traceability management system for medical consumables, which is used to trace the medical consumables throughout the entire process, determine the precise location of the medical consumables, and realize the full-process scheduling management of the medical consumables. When problems occur with medical consumables, it is easy to trace the problems and improve the traceability efficiency.

[0067] In one embodiment, the full-process traceability management system includes:

[0068] Data storage layer: cloud storage and blockchain technology are used to ensure the security and integrity of traceability data, and encryption technology and access control are used to ensure data security and privacy;

[0069] The data transmission layer uses the Internet of Things (IoT) technology to ensure the real-time transmission and update of traceability data in each link, and combines the vehicle data to determine the consumable data about the vehicle data;

[0070] The data transmission terminal obtains the consumable data based on the consumable identification code, and updates the consumable data and transmits it to the data storage layer through the data transmission layer to improve the traceability data;

[0071] The consumables scheduling model schedules and allocates consumables based on the consumables data, determines the location information of the consumables and the location of the consumables supply area, and determines the consumables allocation data for each area based on the consumables usage data and consumables transportation data;

[0072] The data analysis layer analyzes the traceability data of problematic consumables to determine the link where the problematic consumables are generated.

[0073] In this embodiment, consumables are identified through RFID, QR code, one-to-one code and other technologies to determine detailed data of each consumable, mark each consumable, generate batch marks, identify each consumable corresponding to each batch, mark each consumable with traceability data, and traceability data includes data information from raw materials to waste.

[0074] Among them, the data transmission terminal is a scanning device, electronic device, handheld portable terminal and other devices that can be used to identify consumables marks. When data is transmitted, the batch mark is scanned through the data transmission terminal, and the scanning time and location data of the batch mark are updated to the traceability data.

[0075] Since the packaging of the same batch contains multiple independent consumables, when the traceability data is updated, the traceability data of all consumables in the batch is updated synchronously.

[0076] In one embodiment, the data storage layer establishes a data tree based on the traceability data, and the data tree includes:

[0077] Root node: The root node is established based on the factory time. Each root node represents a factory time period.

[0078] Branch nodes: Extend branch nodes up and down according to different production batches, suppliers, and production line information;

[0079] Leaf node: Each leaf node represents a specific medical consumable and contains detailed traceability data;

[0080] When tracing consumables marks, the branch nodes extending from the root node up and down are retrieved through the consumable marks, and the leaf nodes are marked with the corresponding consumable marks.

[0081] In this embodiment, the data tree established by the data storage layer has a certain period. After all the consumables included in the data tree have reached their service life or have all been used, the data tree is locked and compressed and sealed. For consumables with problems, after tracing the consumable problems, the data about the problematic consumables will be deleted from the data tree.

[0082] Among them, the root node is set as the factory time of the consumables. Therefore, branch nodes need to be extended above and below the root node. Different branch nodes correspond to different raw materials, suppliers, production batches, production lines, sellers, transportation companies, usage information and other data.

[0083] In one embodiment, the data transmission terminal corresponding to each link can transmit the traceability data of the link, and a distributed database corresponding to each link is established in the data storage layer. The distributed database is set with multiple partitions corresponding to the traceability data of each link.

[0084] In this embodiment, since there are multiple links from raw materials to waste of consumables, and the multiple links often correspond to different manufacturers, a distributed database with multiple partitions is established, so that the consumable data of the link can be stored by multiple manufacturers respectively.

[0085] Due to the setting of the data tree, multiple consumables only need to establish one data tree to achieve traceability of the data tree, which reduces the data volume, makes the data storage or retrieval process more targeted, and can be traced more quickly.

[0086] In one embodiment, the data transmission layer connects to the vehicle management system to detect the vehicle location, obtains the vehicle data of the transport vehicle based on the vehicle license plate recognition technology, binds the consumables data to the vehicle license plate, and through the recognition of vehicle license plates by different manufacturers, only the vehicle data needs to be uploaded to generate the consumables traceability data corresponding to the transport vehicle and update the traceability data.

[0087] In this embodiment, since the consumables transported by the transport vehicle are fixed values, updating the consumable data by uploading vehicle data can process the response consumable data more quickly, improve the processing speed of consumable traceability data, and can access the road traffic control system to obtain the vehicle's traffic data, and update the traceability data of the corresponding consumables based on the traffic data.

[0088] In one embodiment, the transport vehicle position is predicted based on the road information and the vehicle position:

[0089] Obtain road information and vehicle location. Road information includes road length, curvature, speed limit, traffic light location, and traffic signs. Obtain accurate vehicle location based on the road traffic control system.

[0090] Use road geometry information to build road models and synchronize traffic status information, including real-time traffic flow, road congestion, and accident information;

[0091] Build a motion model based on the vehicle’s current speed, acceleration, and direction to predict the vehicle’s future position;

[0092] Combine road information and traffic conditions to calculate the optimal driving path for the vehicle using a path planning algorithm;

[0093] Use the Kalman filter algorithm, combined with the vehicle's real-time position and motion model, to predict the vehicle's position at different time points;

[0094] Dynamic adjustment: Dynamically adjust the prediction results based on real-time traffic conditions and road information.

[0095] In this embodiment, the shortest path algorithm uses the Dijkstra algorithm or the A* algorithm to calculate the optimal driving path of the vehicle according to the road information and traffic conditions.

[0096] Dijkstra algorithm: Applicable to static road networks, calculating the shortest path from the starting point to the end point.

[0097] A* algorithm: combined with heuristic functions, suitable for dynamic road networks, and more efficient calculation.

[0098] Among them, Kalman filtering is used for real-time position prediction and correction, and is suitable for processing data with high noise.

[0099] State prediction: predict the position and speed at the next moment based on the motion model.

[0100] Status update: Correct the prediction results based on the actual measured values.

[0101] The precise location data of vehicles is provided by the road traffic control system, which identifies the vehicle license plate information and transmits the time and specific location of the transport vehicle.

[0102] In one embodiment, the dynamic model is established based on a combination of a uniform motion model and a uniform acceleration motion model:

[0103] The position calculation formula of the uniform motion model is:

[0104] ;

[0105] in, x t For time t The location at the moment, x 0 is the initial position, v for speed;

[0106] The position calculation formula of the uniform acceleration motion model is:

[0107] ;

[0108] in, v 0 is the initial velocity, a is the acceleration;

[0109] Determine the transport vehicle based on the change in vehicle speed through the uniform motion model and the uniform acceleration motion model t The position at the moment.

[0110] In this embodiment, by determining the location of the transport vehicle and calculating the position of the vehicle, a more accurate vehicle location can be obtained, so that the vehicle can be dispatched according to the vehicle location. When problems occur with consumables, the basic use of consumables can be guaranteed by scheduling the consumables to avoid the situation where the consumables cannot be supplied due to quality problems.

[0111] The position of the transport vehicle is updated through the road traffic system, that is, when the road traffic system obtains the license plate information of the transport vehicle, the position at time t is recalculated according to the position and time of the transport vehicle.

[0112] In one embodiment, the time and location of occurrence of the problematic consumables and the nature of the problem are obtained, and it is determined whether consumables from the same batch and process as the problematic consumables have the same characteristics as the problematic consumables;

[0113] Obtain traceability data of consumables from the same batch, determine the usage of consumables, retrieve the usage of problematic consumables and consumables from the same batch, collect characteristics of problematic consumables, and analyze the causes of problematic consumables.

[0114] In this embodiment, since the quality inspection, transportation, and storage of consumables are all managed in large batches, when problematic consumables occur, it usually means that there are problems with all consumables in a batch. Since the usage time of consumables in the same batch is different, traceability data is scheduled for all consumables in the same batch as the problematic consumables to analyze the link where the problem occurs.

[0115] In one embodiment, the scope of the problematic consumables is determined, and the cause analysis is performed based on the scope of the problematic consumables:

[0116] Obtain the same features of the traceability data of the problematic consumables and determine the data range of the same features;

[0117] Obtain the same features of the traceability data of normal consumables and the traceability data of problematic consumables, and determine that there are different traceability data of normal consumables and problematic consumables with the same features;

[0118] Analyze different traceability data, obtain influencing factor data, and determine the causes corresponding to the influencing factor data.

[0119] In this embodiment, by determining the cause through influencing data, it is possible to easily trace the problematic consumables, so that when a problem occurs, rapid tracing can be performed, the entire process of the problematic consumables can be traced, problematic consumables and normal consumables can be analyzed, and the influencing factor data that caused the problem can be determined, so that rapid tracing can be performed based on the influencing factor data.

[0120] In one embodiment, the consumables scheduling model schedules consumables based on each supply area and the location information of the transport vehicle:

[0121] Determine regional needs: record the consumables demand, usage frequency and inventory status in each region;

[0122] Get the real-time location, transportation route and estimated arrival time of the transport vehicle;

[0123] Determine the base usage of each area as a basis for scheduling;

[0124] Set different scheduling priorities according to the importance and urgency of consumables;

[0125] Use Internet of Things (IoT) technology to monitor the usage and inventory status of consumables in each area in real time;

[0126] Obtain the dynamic model's prediction of the transport vehicle's position at different times;

[0127] Generate scheduling plans based on real-time data and scheduling models, and notify relevant personnel to execute them;

[0128] Establish a feedback mechanism to track the scheduling execution in real time and adjust the scheduling plan in time;

[0129] When problematic consumables are discovered, the traceability system is used to quickly locate the source of the problem and notify relevant areas to stop using them.

[0130] In this embodiment, through real-time monitoring and intelligent scheduling, it is possible to quickly respond to the consumables needs of each region, reduce waiting time, and improve the overall supply chain efficiency; use location prediction and real-time data analysis to ensure the accurate location of consumables during transportation and reduce the risk of loss and misuse; based on the actual needs and inventory status of each region, consumables are intelligently allocated to avoid waste of resources and ensure the supply of consumables in key areas.

[0131] When problematic consumables are discovered, the source of the problem can be quickly located, and qualified consumables from other areas can be allocated on a priority basis through the scheduling model to ensure uninterrupted medical services; through data visualization and traceability systems, transparent consumable circulation information can be provided to enhance management transparency and traceability; transportation routes and scheduling plans can be optimized to reduce transportation costs and inventory costs and improve economic benefits.

[0132] In one embodiment, when problematic consumables cause regional consumables to be unable to meet basic usage, the consumable transportation volume of transport vehicles within a certain range is determined, and the warehouse at the location of the transport vehicle is located, the vehicle location is predicted, and the road route is planned. The time it takes for the vehicle to reach the corresponding area after turning to the warehouse is calculated, and the shortest time transport vehicle is selected to change the corresponding route, and the consumables of the transport vehicle are used to supplement the area that cannot meet the basic usage of consumables.

[0133] In this embodiment, by predicting transport vehicles and planning their routes according to road conditions, the status of transport vehicles around areas that cannot meet basic usage can be determined, so that surrounding transport vehicles can be dispatched to replenish regional consumables and ensure basic usage.

[0134] In summary, the technical solutions disclosed in the above embodiments of the present invention have at least the following advantages:

[0135] 1. Establish a full-process traceability system for the traceability of medical consumables, accurately record the data of each link, so as to facilitate the traceability management of medical consumables and accurately record the data of medical consumables. When tracing the source, the detailed data of medical consumables can be analyzed more accurately and quickly, which improves the response speed of traceability management and ensures the efficiency and accuracy of traceability management.

[0136] 2. Determine the precise location of medical consumables during transportation or circulation through prediction, improve traceability efficiency, and dispatch medical consumables within a certain area based on the usage and consumption coverage of medical consumables, reduce the impact caused by unqualified batches of medical consumables, and avoid the impact of medical consumables on normal use during the entire traceability process.

[0137] 3. A data tree is established based on the factory time. The data tree contains all consumables within the factory time range, and different branch nodes are extended according to different transport vehicles. A large amount of consumable traceability data is stored in one data tree to reduce the volume of consumable traceability data. When tracing consumables, the traceability data can be retrieved more quickly.

[0138] 4. Analyze the problematic consumables based on the traceability data, quickly determine the link where the consumables have problems, combine the consumables retrieval model, and schedule the recycling of consumables in circulation to achieve rapid discovery and rapid response. Analyze the link where the problem occurs based on the traceability data, and determine the scope of the problem based on the impact of the link on the consumables.

[0139] Although the present invention is disclosed in conjunction with the above embodiments, it is not intended to limit the present invention. Anyone familiar with this technology can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the definition of the attached claims.

Claims

1. A full-process traceability management system for medical consumables, characterized in that: include: Data storage layer: cloud storage and blockchain technology are used to ensure the security and integrity of traceability data, and encryption technology and access control are used to ensure data security and privacy; The data storage layer establishes a data tree based on the traceability data. The data tree includes: Root node: The root node is established based on the factory time. Each root node represents a factory time period. Branch nodes: Extend branch nodes up and down according to different production batches, suppliers, and production line information; Leaf node: Each leaf node represents a specific medical consumable and contains detailed traceability data; When tracing consumables, the branch nodes extending from the root node up and down are retrieved through the consumables, and the leaf nodes are marked with the corresponding consumables. The data transmission layer uses the Internet of Things technology to ensure the real-time transmission and update of traceability data in each link, and determines the consumable data about the vehicle data in combination with the vehicle data; the data transmission layer connects to the vehicle management system to detect the vehicle location, obtains the vehicle data of the transport vehicle based on the vehicle license plate recognition technology, binds the consumable data to the vehicle license plate, and through the recognition of vehicle license plates by different manufacturers, only the vehicle data needs to be uploaded to generate the consumable traceability data corresponding to the transport vehicle and update the traceability data; The data transmission terminal obtains the consumable data based on the consumable identification code, and updates the consumable data and transmits it to the data storage layer through the data transmission layer to improve the traceability data; the data transmission terminal corresponding to each link can transmit the traceability data of the link, and establish a distributed database corresponding to each link in the data storage layer. The distributed database is set with multiple partitions, corresponding to the traceability data of each link; The consumables scheduling model schedules and allocates consumables based on the consumables data, determines the location information of the consumables and the location of the consumables supply area, and determines the consumables allocation data for each area based on the consumables usage data and consumables transportation data; The data analysis layer analyzes the traceability data of problematic consumables to determine the link where the problematic consumables are produced; Predict the location of transport vehicles based on road information and vehicle location: Obtain road information and vehicle location. Road information includes road length, curvature, speed limit, traffic light location, and traffic signs. Obtain accurate vehicle location based on the road traffic control system. Use road geometry information to build road models and synchronize traffic status information, including real-time traffic flow, road congestion, and accident information; Build a motion model based on the vehicle’s current speed, acceleration, and direction to predict the vehicle’s future position; Combine road information and traffic conditions to calculate the optimal driving path for the vehicle using a path planning algorithm; Use the Kalman filter algorithm, combined with the vehicle's real-time position and motion model, to predict the vehicle's position at different time points; Dynamic adjustment: Dynamically adjust the prediction results based on real-time traffic conditions and road information.

2. The full-process traceability management system for medical consumables according to claim 1, characterized in that: The dynamic model is established based on the combination of the uniform motion model and the uniform acceleration motion model: The position calculation formula of the uniform motion model is: ； in, x t For time t The location at the moment, x 0 is the initial position, v for speed; The position calculation formula of the uniform acceleration motion model is: ； in, v 0 is the initial velocity, a is the acceleration; Determine the transport vehicle based on the change in vehicle speed through the uniform motion model and the uniform acceleration motion model t The position at the moment.

3. A full-process traceability management system for medical consumables according to claim 2, characterized in that: Obtain the time, location and nature of the problem consumables, and determine whether consumables from the same batch and process as the problem consumables have the same characteristics as the problem consumables; Obtain traceability data of consumables from the same batch, determine the usage of consumables, retrieve the usage of problematic consumables and consumables from the same batch, collect characteristics of problematic consumables, and analyze the causes of problematic consumables.

4. The full-process traceability management system for medical consumables according to claim 3, characterized in that: Determine the scope of the problem consumables and analyze the causes based on the scope of the problem consumables: Obtain the same features of the traceability data of the problematic consumables and determine the data range of the same features; Obtain the same features of the traceability data of normal consumables and the traceability data of problematic consumables, and determine that there are different traceability data of normal consumables and problematic consumables with the same features; Analyze different traceability data, obtain influencing factor data, and determine the causes corresponding to the influencing factor data.

5. A full-process traceability management system for medical consumables according to claim 4, characterized in that: The consumables scheduling model schedules consumables based on each supply area and the location information of the transport vehicle: Determine regional needs: record the consumables demand, usage frequency and inventory status in each region; Get the real-time location, transportation route and estimated arrival time of the transport vehicle; Determine the base usage of each area as a basis for scheduling; Set different scheduling priorities according to the importance and urgency of consumables; Use IoT technology to monitor the usage and inventory status of consumables in each area in real time; Obtain the dynamic model's prediction of the transport vehicle's position at different times; Generate scheduling plans based on real-time data and scheduling models, and notify relevant personnel to execute them; Establish a feedback mechanism to track the scheduling execution in real time and adjust the scheduling plan in a timely manner; When problematic consumables are discovered, the traceability system is used to quickly locate the source of the problem and notify relevant areas to stop using them.

6. A full-process traceability management system for medical consumables according to claim 5, characterized in that: When problematic consumables cause regional consumables to be unable to meet basic usage, determine the consumable transportation volume of transport vehicles within a certain range, locate the warehouse where the transport vehicles are located, predict the vehicle location, plan the road route, calculate the time it takes for the vehicle to reach the corresponding area after turning to the warehouse, select the shortest time transport vehicle to change the corresponding route, and use the consumables of this transport vehicle to supplement the areas that cannot meet basic usage.

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