A method and system for tracing medical waste

Abstract

The embodiment of the specification discloses a medical waste tracing method and system, relates to the technical field of data tracing, and is used for solving the problem of low accuracy of the existing tracing mode. The method comprises the following steps: determining a corresponding positioning strategy based on the state information of each transfer vehicle to obtain real-time position information and upload the real-time position information to a server; determining whether to enter a preset geographic fence according to the real-time position information, obtaining current label data by using an RFID scanning all-in-one machine and obtaining waste weight data by using a weighing device, uploading the screened label data and the weight data after the current label data is screened by a vehicle external preset host module, and managing the screened current label data, the weight data and the real-time position information based on the server to trace the transfer condition of the medical waste in real time.

Description

Technical Field

[0001] This specification relates to the field of data tracing technology, and in particular to a medical waste tracing method and system. Background Art

[0002] Medical waste, such as contaminated syringes, surgical instruments, and expired medications, is potentially infectious, toxic, and harmful. Once released into the environment, it can spread disease. Furthermore, its complex composition makes it difficult to handle and requires strict management procedures. Different types of medical waste require different treatment methods. For example, infectious waste requires high-temperature disinfection, while chemical waste requires specialized chemical treatment, making management extremely complex. Therefore, the correct and safe handling of medical waste, strengthening its management, and ensuring its traceability—in other words, its source traceability—have become crucial issues in medical waste management.

[0003] Traditionally, medical waste traceability relies primarily on manual record-keeping and simple identification systems. Manual record-keeping is prone to errors and omissions, and the recorded information is limited, making it difficult to cover the entire processing process. With the development of Internet of Things technology, a multi-level management model has been implemented to precisely manage every link in the collection and flow of medical waste. From generation to disposal, each bag of medical waste can be marked with a QR code for identification. However, traceability loopholes still exist in the waste transfer, disposal, and management stages, making it impossible to track waste transfer status in real time, and valuable waste can easily be lost during transportation. Summary of the Invention

[0004] In order to solve the above technical problems, one or more embodiments of this specification provide a medical waste tracing method and system.

[0005] One or more embodiments of this specification adopt the following technical solutions:

[0006] One or more embodiments of this specification provide a method for tracing medical waste, the method comprising:

[0007] Determine a corresponding positioning strategy based on the status information of each transfer vehicle, determine the real-time location information of each transfer vehicle according to the positioning strategy, and upload the real-time location information to the server;

[0008] Determining whether the transfer vehicle enters a preset geographic fence range based on the real-time location information;

[0009] If so, the identification tags in each transfer vehicle are scanned using the pre-installed RFID scanner inside each transfer vehicle to obtain the current tag data in each transfer vehicle, and the weight data of the medical waste in each transfer vehicle is obtained based on the pre-installed weighing equipment;

[0010] The current label data is filtered according to a pre-installed host module outside each transfer vehicle, so as to upload the filtered current label data and the weight data to a server;

[0011] The server manages the filtered current label data, the weight data and the real-time location information in real time to trace the transportation status of medical waste in real time.

[0012] Optionally, in one or more embodiments of the present specification, before determining a corresponding positioning strategy based on the status information of each transfer vehicle, determining the real-time location information of each transfer vehicle according to the positioning strategy, and uploading the real-time location information to the server, the method further includes:

[0013] Based on each pre-installed RFID scanning all-in-one machine, the identification tag embedded in each medical transfer barrel is scanned to obtain the tag data corresponding to the identification tag, thereby realizing the full process traceability of the medical waste;

[0014] Before scanning the identification tags embedded in each medical transport barrel based on each pre-installed RFID scanning all-in-one machine, the method further includes:

[0015] Embedding the identification tag into a fixed position of each medical transport barrel to generate a unique identification code for each identification tag of the medical waste;

[0016] Based on the preset cameras within each of the preset geographic fences, scene images and images of waste in the medical transfer barrels are collected to identify the full-process processing data of the medical waste, so that the full-process processing data can be written into the identification tag corresponding to the identification code through the RFID reader.

[0017] Optionally, in one or more embodiments of the present specification, within each of the preset geo-fences, a preset camera is used to capture scene images and images of waste in the medical transfer barrel to identify the full-process processing data of the medical waste, specifically including:

[0018] Acquire the transfer path of the medical transfer barrel to determine the acquisition camera corresponding to the medical transfer barrel within the transfer path;

[0019] Determine an acquisition frequency by a rate of change of images acquired by the acquisition camera, so as to acquire scene images and images of waste in the medical transport barrel according to the acquisition frequency;

[0020] Performing feature extraction on the scene image based on a preset convolutional neural network to obtain a feature map corresponding to the scene image, thereby constructing a preset number of recognition frames at each point on the feature map; wherein the preset number of recognition frames have different aspect ratios;

[0021] screening the recognition frames based on the degree of overlap between the recognition frames to obtain candidate recognition frames, and identifying the candidate recognition frames to obtain scene information corresponding to the scene image;

[0022] Determining the transport processing stage corresponding to the medical transport barrel based on the scene information to obtain processing standard data corresponding to the transport processing stage, and determining the target candidate area corresponding to the waste image based on the data object association relationship corresponding to the processing standard data;

[0023] The actual processing data corresponding to the target candidate area in the waste image is extracted to mark the processing standard data and the actual processing data according to the transfer processing stage, thereby realizing the acquisition of the whole process processing data.

[0024] Optionally, in one or more embodiments of this specification, a corresponding positioning strategy is determined based on the status information of each transfer vehicle, so as to determine the real-time location information of each transfer vehicle according to the positioning strategy, specifically including:

[0025] Acquiring status information of each of the transfer vehicles; wherein the status information includes: driving status and parking status;

[0026] If it is determined that the state information is a driving state, receiving a vehicle GPS signal and determining a signal quality of the GPS signal;

[0027] When the signal quality is higher than a preset threshold, the real-time location information of the transfer vehicle is determined based on the GPS signal;

[0028] When the signal quality is lower than the preset threshold or the GPS signal is lost, the initial location information of the transfer vehicle is determined based on the GPS signal at the previous moment, and the 4G base station information within the preset range of the initial location information is obtained to correct the initial location information and determine the real-time location information of the transfer vehicle;

[0029] If it is determined that the state information is a parking state, detecting whether there is an indoor positioning signal based on the indoor positioning program in the positioning main program;

[0030] If so, the vehicle GPS signal is corrected based on the preset GPS positioning point corresponding to the indoor positioning signal to determine the real-time position information of each transfer vehicle.

[0031] Optionally, in one or more embodiments of this specification, uploading the real-time location information to a server specifically includes:

[0032] Encrypting the real-time location information based on preset encryption rules and key information to obtain an encrypted ciphertext, and generating a dynamic token corresponding to the real-time location information;

[0033] Obtaining connection status information and transmission performance information of the current transmission link, and determining whether the 4G transmission link of the current transmission link is abnormal based on the connection status information and the transmission performance information;

[0034] If there is no abnormality, transmitting the encrypted ciphertext and the dynamic token to the server based on the 4G transmission link;

[0035] If there is an abnormality, the encrypted ciphertext and the dynamic token are transmitted to the server based on the GPS narrowband transmission link of the current transmission link.

[0036] Optionally, in one or more embodiments of the present specification, the current label data is filtered according to a pre-installed host module outside each transfer vehicle, so as to upload the filtered current label data and the weight data to the server, specifically including:

[0037] According to the built-in RFID analysis and statistics module of the pre-installed host module outside each transfer vehicle, a full label library corresponding to the medical transfer barrel is obtained;

[0038] Based on the matching of the full tag library with the current tag data, the current tag data that does not belong to the full tag library is obtained and filtered to obtain the filtered current tag data;

[0039] Integrate the filtered current label data and the weight data to obtain a data group to be transmitted; wherein each data group to be transmitted includes the filtered current label data and the weight data of the medical transport barrel that belongs to the same medical transport barrel as the filtered current label data;

[0040] Encrypting the data group to be transmitted based on preset encryption rules and key information to obtain encrypted ciphertext to be transmitted, and generating a current dynamic token corresponding to the filtered current label data and the weight data;

[0041] Obtaining connection status information and transmission performance information of the current transmission link, and determining whether the 4G transmission link of the current transmission link is abnormal based on the connection status information and the transmission performance information;

[0042] If there is no abnormality, transmitting the encrypted ciphertext to be transmitted and the current dynamic token to the server based on the 4G transmission link;

[0043] If there is an abnormality, the encrypted ciphertext to be transmitted and the current dynamic token are transmitted to the server based on the GPS narrowband transmission link of the current transmission link.

[0044] Optionally, in one or more embodiments of the present specification, the server manages the filtered current label data, the weight data, and the real-time location information in real time to trace the transfer of medical waste in real time, specifically including:

[0045] The server decrypts and obtains the filtered current tag data, the weight data and the real-time location information through the current transmission link and a preset decryption method;

[0046] By using the identification tag of the medical waste transfer barrel, the weight data and real-time location information are matched and associated with the corresponding medical waste transfer barrel, and arranged in chronological order to obtain the transfer trajectory data corresponding to each medical waste transfer barrel at each time; wherein the transfer trajectory data includes: weight change data and position change data;

[0047] Determining a medical waste conversion node corresponding to the medical transfer barrel based on the weight change data and the position change data;

[0048] Obtaining normal transfer standard data corresponding to each of the medical waste conversion nodes, and determining whether the medical waste conversion node is an abnormal node based on the normal transfer standard data;

[0049] If so, an early warning is issued for the abnormal node, and the identification label of the medical transport barrel corresponding to the abnormal node, the weight data and the real-time location information are sent to the corresponding management terminal.

[0050] Optionally, in one or more embodiments of the present specification, after the server manages the filtered current tag data, the weight data, and the real-time location information in real time to trace the transfer of medical waste in real time, the method further includes:

[0051] Summarizing the medical waste transfer data based on preset time intervals to divide the transfer data into multiple dimensions and determine the multi-dimensional change trend of the medical waste;

[0052] Determine the efficient transfer area and the inefficient transfer area of ​​the medical waste based on the multi-dimensional change trend;

[0053] Transport resources of the high-efficiency transport area and the low-efficiency transport area are acquired respectively to allocate the transport resources of the high-efficiency transport area and the low-efficiency transport area.

[0054] One or more embodiments of the present specification provide a medical waste tracing system, the system comprising:

[0055] A writing unit writes full-process processing data of a medical transport barrel where medical waste is located into an identification tag of each medical transport barrel.

[0056] A positioning unit is configured to determine a corresponding positioning strategy based on state information of each transport vehicle, to determine real-time position information of each transport vehicle according to the positioning strategy, and to upload the real-time position information to a server.

[0057] A determination unit is configured to determine whether the transport vehicle enters a preset geographic fence range based on the real-time position information.

[0058] A scanning and weighing unit is configured to scan identification tags in each transport vehicle according to a preset RFID scanning all-in-one machine inside each transport vehicle when entering the preset geographic fence range, to acquire current tag data in each transport vehicle, and to acquire weight data of medical waste in each transport vehicle based on a preset weighing device.

[0059] A data transmission unit is configured to filter the current tag data according to a preset host module outside each transport vehicle, to upload the filtered current tag data and the weight data to the server.

[0060] A management unit is configured to manage the filtered current tag data, the weight data, and the real-time position information in real time based on the server, to trace the transport situation of medical waste in real time.

[0061] Optionally, in one or more embodiments of the present specification, the writing unit is an acquisition processing host and an 8-channel RFID scanning all-in-one machine; the RFID scanning all-in-one machine has a corresponding RFID scanning antenna, the RFID scanning antenna adopts a floor type flat antenna in the vehicle compartment, is installed flat on the vehicle floor, and is packaged with epoxy resin and wear-resistant and corrosion-resistant paint; and the identification tag of the medical transport barrel is installed at the bottom of the transport barrel.

[0062] The above at least one technical solution adopted by the embodiments of the present specification can achieve the following beneficial effects:

[0063] By embedding full-process data onto identification tags, each medical waste transfer bin maintains consistent and complete information, enabling precise traceability from production to transport, facilitating management and troubleshooting. Positioning strategies are determined based on transport vehicle status information, adapting to varying vehicle operating conditions and environments. This ensures the accuracy and reliability of real-time location information, providing strong support for subsequent assessments. Pre-installed RFID scanners and weighing equipment automatically collect current tag and weight data, reducing manual intervention, improving data collection efficiency and accuracy, and mitigating the risk of human error. A pre-installed host module located outside the transport vehicle filters current tag data, removes invalid or redundant data, and uploads valuable information, reducing server processing burden and improving data transmission and management efficiency. The server manages filtered tag data, weight data, and real-time location information in real time, enabling real-time monitoring of medical waste transfer activity, identifying anomalies and taking timely action, thereby enhancing the management and safety of medical waste transfer. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the embodiments of this specification or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some of the embodiments described in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without inventive work. In the drawings:

[0065] Figure 1 A schematic flow chart of a medical waste tracing method provided in an embodiment of this specification;

[0066] Figure 2 A schematic diagram of a medical waste data collection architecture provided in an embodiment of this specification;

[0067] Figure 3 A schematic diagram of a medical waste positioning architecture provided in an embodiment of this specification;

[0068] Figure 4 A top view of the interior of a transfer vehicle provided in an embodiment of this specification;

[0069] Figure 5 A side view of the interior of a transfer vehicle provided in an embodiment of this specification;

[0070] Figure 6 A schematic diagram of a tag data screening process provided in an embodiment of this specification;

[0071] Figure 7 This is a schematic diagram of the structure of a medical waste traceability system provided in an embodiment of this specification.

[0072] Figure 4 With Figure 5 In the figure, 1 is a preset host module, and 2 is a preset RFID scanning all-in-one machine. DETAILED DESCRIPTION

[0073] The embodiments of the present specification provide a medical waste traceability method and system.

[0074] In order for those skilled in the art to better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be described clearly and completely in conjunction with the drawings in the embodiments of the present specification. Obviously, the described embodiments are only part of the embodiments of the present specification, not all. Based on the embodiments of the present specification, all other embodiments obtained by those of ordinary skill in the art without creative labor should be within the scope of protection of the present specification.

[0075] As Figure 1 shown, the embodiments of the present specification provide a flowchart of a medical waste traceability method. From Figure 1 It can be known that in one or more embodiments of the present specification, a medical waste traceability method comprises the following steps:

[0076] S101: determining a corresponding positioning strategy based on the state information of each transfer vehicle, to determine the real-time position information of each transfer vehicle according to the positioning strategy, and uploading the real-time position information to a server.

[0077] As Figure 3 shown, in order to realize real-time positioning of the transfer vehicle and avoid the problem of medical waste transfer error or loss, GPS technology and indoor positioning technology are simultaneously accessed in the embodiments of the present specification, so as to determine the corresponding positioning strategy according to the state information of each transfer vehicle, to determine the real-time position information of each transfer vehicle according to the positioning strategy, and then upload the real-time position information to the server.

[0078] Before this, medical waste would be classified and loaded into special medical waste transfer barrels when it was generated. In order to ensure the traceability of the transfer process, each medical transfer barrel is equipped with a customized identification tag such as an RFID tag. The identification tag uses special materials such as high temperature resistant, corrosion resistant, waterproof and dustproof to ensure stability and readability in various environments. And each identification tag contains a unique identification code, which is used to record information such as the source, destination and processing status of the transfer barrel, so as to realize the full process processing data of the medical transfer barrel where the medical waste is located, and write it into the corresponding identification tag of each medical transfer barrel. Specifically, in one or more embodiments of this specification, a corresponding positioning strategy is determined based on the status information of each transfer vehicle, so as to determine the real-time location information of each transfer vehicle according to the strategy, and before uploading the real-time location information to the server, the following process is also included:

[0079] The identification tags embedded in each medical transport barrel are scanned by each pre-installed RFID scanning all-in-one machine to obtain the tag data corresponding to the identification tag, thereby realizing the full process traceability of medical waste. Before the identification tags embedded in each medical transport barrel are scanned by each pre-installed RFID scanning all-in-one machine, the method further includes:

[0080] Identification tags of corresponding types are embedded in fixed locations within each medical transport container to generate a unique identification code for each medical waste tag. Specifically, in certain application scenarios, the first basic data of each medical transport container and the second basic data of each pre-installed RFID scanner are first obtained. The read distance range of the identification tag is then determined based on the first and second basic data. By determining the read distance range of the identification tag based on the first and second basic data of each medical transport container, the system can be adapted to the specific characteristics of the equipment and transport container, ensuring that the identification tag is accurately read within the appropriate distance. This improves the reliability and stability of data collection and avoids data reading failures or errors caused by inappropriate reading distances. The data transmission frequency of the identification tag is then determined based on the type of medical waste in the transport vehicle and a pre-installed traceability standard table. This frequency can be appropriately adjusted based on the management and traceability requirements of different types of medical waste. For medical waste types that require more frequent monitoring and traceability, a higher data transmission frequency can be set to ensure data timeliness and integrity, meeting strict management and control requirements. Then, the reading distance range, data transmission frequency and interference frequency range corresponding to the transfer vehicle are comprehensively considered to determine the operating frequency range of the identification tag, and the corresponding type of identification tag is determined according to the operating frequency range. The corresponding type of identification tag is embedded in a fixed position of each medical transfer barrel to generate a unique identification code for the identification tag of each medical waste.

[0081] Then, based on the preset cameras within each preset geographic fence, scene images and images of waste in the medical transfer barrel are collected to identify the full-process processing data of medical waste, and then the full-process processing data is written into the identification tag corresponding to the identification code through the RFID reader.

[0082] During the treatment process, the preset cameras capture scene images and images of waste in the medical transfer barrels within the preset geographic fences, which can comprehensively obtain information on medical waste at all stages, including the environment, waste status, etc. It should be noted that the preset geographic fence range can be set based on the geographical area of ​​the various loading and unloading points and processing centers involved in the medical waste transfer process. The full-process processing data is written into the identification tag corresponding to the identification code through the RFID reader, realizing the accurate association of the data with the medical transfer barrel. It ensures that the identification tag of each medical transfer barrel records its own full-process processing data, which facilitates data storage, query and traceability, and provides reliable data support for the management of medical waste.

[0083] In addition, it should be noted that in the process of obtaining identification tags in the above process, RFID readers can be customized and developed according to the characteristics of medical waste transfer barrels to ensure that all RFID tags in the transfer vehicle can be accurately and quickly identified. At the same time, it is also possible to customize a mixed three-proof coating glue strip flexible RFID antenna while fully considering the high temperature, high humidity, high corrosion, high frequency handling and other characteristics in the transfer vehicle, so as to minimize the antenna volume while ensuring scanning accuracy, saving more loading space for the transfer vehicle. The identification tag can be made of special materials such as high temperature resistance, corrosion resistance, waterproof and dustproof, so as to ensure that the tag can maintain stability and readability in various environments. And the above-mentioned preset RFID scanning all-in-one machines can be as follows Figure 4 and Figure 5 The position shown is installed in the vehicle. The pre-installed host module 1 on the outside of each transfer vehicle can cooperate with the integrated flat-panel RFID scanning antenna installed in the vehicle and the pre-installed RFID scanning all-in-one machine 2 to scan the RFID tags in the transfer vehicle. In this process, a floor-type flat-panel antenna is used in the vehicle's compartment, which is flatly installed on the vehicle floor and encapsulated with epoxy resin and wear-resistant and corrosion-resistant paint. The RFID tag is installed to the bottom of the transfer barrel to ensure scanning accuracy and stability.

[0084] like Figure 6In one application scenario, the scanner uses an 8-way antenna design to ensure effective identification of medical waste bins in every corner of the vehicle. The antenna's horizontal mounting position can be adjusted 65-75 cm above the ground within the vehicle, depending on the driver and the type of medical waste bin, for optimal scanning performance. A UHF RFID device is then selected based on actual needs to meet scanning range and penetration requirements. During the scanning process, the UHF RFID device first transmits a radio frequency signal through its built-in antenna. The frequency range is typically between 860 and 960 MHz. This high-frequency electromagnetic wave activates RFID tags within its operating range. When an RFID tag enters the RF signal field emitted by the reader, the tag's antenna receives the signal. Since there is an induction coil inside the tag, the radio frequency signal will generate an induced current in the tag's antenna and induction coil, providing energy for the chip inside the tag. Before receiving the radio frequency signal from the reader, the tag is in a "sleep" state and has no energy supply. Once a sufficiently strong radio frequency signal is received, the tag will be activated and start working. The activated tag will use the received energy to process the data stored in itself and prepare to send the data to the reader. The chip inside the tag will modulate the stored data and convert the digital information into a signal form suitable for transmission on the radio frequency signal. After modulating the data, the tag will send the data back to the reader through its antenna. The frequency used by the tag to send data is the same as the frequency transmitted by the reader, both within the UHF frequency band, and its own data is sent out through radio frequency signals. These data will propagate in space in the form of electromagnetic waves until they are received by the reader's antenna. After receiving the data sent back by the tag, the reader's antenna will convert the radio frequency signal into an electrical The signal is then transmitted to the reader's signal processing module. Because the received signal is weak and may be affected by electromagnetic interference from the surrounding environment, the reader needs to amplify and filter the signal. Amplification enhances signal strength, making it easier for subsequent circuitry to process; filtering removes interference, retaining only the useful signal sent back by the tag. The amplified and filtered signal is then sent to the reader's demodulation circuit. The demodulation circuit converts the received modulated signal into the original digital information. The demodulation circuit deconstructs the data based on changes in the signal amplitude. The demodulated digital information then needs to be decoded. Decoding reverses the encoding rules used to convert the digital signal into actual information. The decoded data from the reader is then transmitted to the connected vehicle-mounted equipment for further processing. The RFID analysis and statistics module receives the RFID data transmitted by the scanner and parses, compiles, and analyzes it, providing basic data support for the traceability system.Based on the full tag library obtained during RFID tag procurement, the full tag information scanned by the transfer vehicle's onboard equipment is received and compared with the full tag library. If the comparison is successful, the data is uploaded; if the comparison fails, the tag is discarded. The analysis module uses the built-in RFID antenna to collect information from all notes within the vehicle, including RFID tags attached to transfer barrels, aviation RFID tags attached to some imported pharmaceuticals, and other RFID tags. The big data analysis component built into the statistics module analyzes and selects transfer barrel tags based on the transfer barrel tag feature library and uploads them to the service platform.

[0085] Furthermore, in one or more embodiments of this specification, within each preset geo-fence, a pre-installed camera is used to capture scene images and images of waste in a medical transfer bin to identify full-process medical waste processing data, specifically including the following process:

[0086] To accurately match the most appropriate acquisition camera to each medical transfer bin, thereby improving the relevance and effectiveness of image acquisition, the medical transfer bin's path is first acquired to determine the corresponding acquisition camera within the path. Specifically, in certain application scenarios, the acquired medical transfer bin path can be encoded to generate a corresponding qubit sequence. A quantum annealing process is then performed based on this qubit sequence and the positions of each camera within a pre-set geofence. Quantum annealing is an optimization algorithm that simulates the annealing process of a quantum system to find the optimal solution. This process leverages the advantages of quantum computing and comprehensively considers complex factors such as the path and camera location to accurately match the most appropriate acquisition camera to each medical transfer bin. Compared to traditional random or fixed camera assignment methods, this significantly improves the relevance and effectiveness of image acquisition, ensuring the quality of subsequent data collection. The acquisition frequency is then determined based on the rate of change of images captured by the acquisition camera. Images of the scene and the waste within the medical transfer bin are then collected based on this acquisition frequency. Since the image change rate reflects the rate of change in the scene or the waste within the medical transport container, a large rate of change indicates rapid changes in the scene or waste state, necessitating a higher acquisition frequency to capture these changes. Conversely, a small rate of change can appropriately reduce the acquisition frequency. Furthermore, the image change rate can be used to calculate the similarity between two adjacent needle images. If the similarity exceeds a certain threshold, the image is considered to have changed little, and the acquisition of that frame can be skipped, thereby reducing the acquisition frequency. By capturing images of the scene and the waste within the medical transport container at a predetermined acquisition frequency, resources can be rationally utilized while ensuring the acquisition of valid information, avoiding over- or under-acquisition issues.

[0087] After acquiring the scene image and the image of the waste within the medical transport bin, features are extracted from the scene image based on a preset convolutional neural network to obtain a feature map corresponding to the scene image, thereby constructing a preset number of recognition frames at each point in the feature map. It should be noted that the preset number of recognition frames have different aspect ratios. The recognition frames are then screened based on their overlap to obtain candidate recognition frames, which are then mapped to hyperbolic space for feature recognition to obtain scene information corresponding to the scene image. Mapping the candidate recognition frames to hyperbolic space for feature recognition to obtain scene information corresponding to the scene image can be achieved by training a neural network model that can map feature vectors in Euclidean space to hyperbolic space. The mapped points are then clustered in the hyperbolic space, with similar feature points grouped together. The clustering structure is then associated with predefined scene information categories to obtain scene information corresponding to the scene image. By filtering recognition frames based on overlap and performing feature recognition in hyperbolic space, objects in the scene can be more accurately located and identified, redundant and unreasonable recognition frames can be removed, and the accuracy of scene information acquisition can be improved, facilitating clearer understanding and analysis of the scene. The transfer processing stage corresponding to the medical transfer barrel is then determined based on the scene information. Standard processing data corresponding to the transfer processing stage is then acquired. Based on the data object associations associated with the standard processing data, a candidate target region corresponding to the waste image is determined. By determining the transfer processing stage based on the scene information and determining the candidate target region of the waste image based on the associations associated with the standard processing data, precise positioning and analysis of the medical waste treatment process are achieved, enabling accurate identification of waste components and features of interest, and improving the targetedness and effectiveness of data acquisition. Actual processing data corresponding to the candidate target region in the waste image can then be extracted. The standard processing data and actual processing data can then be labeled according to the transfer processing stage, enabling full-process processing data acquisition. It can be understood that the transfer processing stage determination process can initially combine scene information corresponding to the previously acquired scene image, such as the location of the medical transfer barrel in different scenarios, such as a hospital collection point, a transport vehicle, or a processing workshop, to preliminarily determine the transfer processing stage. The system then considers the chronological order and process logic of medical transfers, analyzes the timestamps of image acquisition and the changes in previous and subsequent images, and further determines the current stage of transfer and processing. For example, if images show a medical transfer barrel moving from inside the hospital to a transport vehicle and then to a processing workshop over a period of time, this time series information can be used to accurately determine the transfer and processing stage. This editing and acquisition of full-process processing data addresses the previous issues of incomplete and incomplete data collection, making effective traceability and management difficult, and provides strong data support for the full lifecycle management of medical waste.

[0088] Specifically, in one or more embodiments of this specification, a corresponding positioning strategy is determined based on the status information of each transfer vehicle, so as to determine the real-time location information of each transfer vehicle according to the positioning strategy, which specifically includes the following process:

[0089] First, the status information of each transfer vehicle is obtained. This status information can be determined by the vehicle's onboard sensors and includes driving and parked status. If the status information is determined to be driving, the vehicle's GPS signal is received and the signal quality of the GPS signal is determined. Then, when the signal quality exceeds a preset threshold, the real-time location of the transfer vehicle is determined based on the GPS signal. Furthermore, if the signal quality falls below a preset threshold or the GPS signal is lost, the transfer vehicle's initial location is determined based on the GPS signal at the previous moment. 4G base station information within the preset range of the initial location information is simultaneously obtained to correct the initial location information and determine the transfer vehicle's real-time location. If the status information is determined to be parked, the indoor positioning program within the main positioning program checks for the presence of an indoor positioning signal. If an indoor positioning signal is present, the vehicle's GPS signal is corrected based on the preset GPS positioning points corresponding to the indoor positioning signal to determine the real-time location of each transfer vehicle.

[0090] During this process, the positioning method for driving vehicles is dynamically adjusted based on GPS signal quality. When GPS signal quality is high, real-time location is determined directly using the GPS signal, ensuring high-precision and real-time positioning, as GPS positioning itself provides relatively precise geographic coordinates. When signal quality is low or lost, positioning is performed using a combination of the previous GPS signal and 4G base station information. Leveraging the widespread distribution of 4G base stations, the vehicle's position is corrected and estimated, ensuring continuous tracking even in complex environments and avoiding positioning interruptions due to GPS signal issues. Furthermore, for parked vehicles, considering that they may be parked indoors, the GPS signal is corrected by detecting indoor positioning signals and combining them with pre-set GPS positioning points. Indoor positioning signals can compensate for the poor indoor positioning performance of GPS, ensuring accurate location information even when the vehicle is parked, meeting vehicle positioning requirements in various scenarios. Furthermore, when GPS signal quality is good, GPS positioning is prioritized, fully leveraging its high precision and real-time performance while reducing reliance on other positioning resources. Alternative methods, such as 4G base station positioning, are only used when the GPS signal is poor or lost, avoiding unnecessary resource waste.

[0091] Specifically, in one or more embodiments of this specification, uploading the real-time location information to the server specifically includes:

[0092] In order to ensure the security of data during transmission and prevent it from being stolen or tampered with, the embodiments of this specification will encrypt the real-time location information based on preset encryption rules and key information to obtain encrypted ciphertext, and generate a dynamic token corresponding to the real-time location information. Then, in order to ensure that there is no abnormality in the transmission link and the real-time location information can be uploaded, the connection status information and transmission performance information of the current transmission link will be obtained, and based on the connection status information and the transmission performance information, it will be determined whether there is an abnormality in the 4G transmission link of the current transmission link. If there is no abnormality, the encrypted ciphertext and dynamic token will be transmitted to the server based on the 4G transmission link; if there is an abnormality, the encrypted ciphertext and dynamic token will be transmitted to the server based on the GPS narrowband transmission link. That is, Figure 2 As shown in the figure, a dual-link transmission method of 4G transmission link and GPS narrowband transmission link is adopted during the data transmission process to ensure that data transmission can still be completed when the main link is abnormal. The real-time location information is encrypted based on preset encryption rules and key information, which ensures the confidentiality of the location information during transmission and prevents it from being eavesdropped or leaked in plain text. The addition of a dynamic token mechanism also effectively prevents data tampering and replay attacks.

[0093] S103: Determine whether the transfer vehicle enters a preset geographic fence based on the real-time location information.

[0094] After uploading the real-time location information to the server based on the above step S102, the real-time location information can be obtained by decrypting the encrypted ciphertext after verifying the dynamic token, and then comparing the real-time location information with the threshold geographic fence range to determine whether the transfer vehicle has entered the preset geographic fence range, that is, to determine whether the transfer vehicle has entered the loading and unloading point or the medical waste processing center.

[0095] S104: If yes, scan the identification tags in each transfer vehicle according to the preset RFID scanning all-in-one machine inside each transfer vehicle to obtain the current tag data in each transfer vehicle, and obtain the weight data of the medical waste in each transfer vehicle based on the preset weighing equipment.

[0096] If a transfer vehicle is determined to have entered a pre-set geofence, to promptly trace the medical waste in each transfer bin on the transfer vehicle, the identification tags within each transfer vehicle are scanned using pre-installed RFID scanners within each vehicle to obtain the current tag data. Furthermore, the weight of the waste within each transfer vehicle is obtained using pre-installed weighing equipment. The pre-installed weighing equipment can be a medical scale or a third-party weighing device outside of a disposal facility's scale. This weighing equipment measures the actual weight of the medical waste on the transfer vehicle. In the event of loss, misplacement, or weight discrepancies, this value can be used as a reference to assess the waste's whereabouts. Combining the medical bin identification tag data with the waste weight data creates a more comprehensive medical waste profile. This system not only provides basic information such as the source and type of medical waste, but also captures dynamic data such as weight changes. This facilitates detailed recording and analysis of the entire medical waste flow, providing richer information support for subsequent processing and management.

[0097] S105: The current label data is filtered according to a preset host module outside each transfer vehicle, so as to upload the filtered current label data and the weight data to a server.

[0098] like Figure 6 As shown, in order to filter out irrelevant or redundant data, in the embodiments of this specification, the current label data will be filtered according to the pre-installed host module 1 outside each transfer vehicle, so that the filtered current label data and weight data are uploaded to the server. Specifically, in one or more embodiments of this specification, the current label data is filtered according to the pre-installed host module 1 outside each transfer vehicle, so that the filtered current label data and the weight data are uploaded to the server, which specifically includes the following process:

[0099] First, the RFID analysis and statistics module built into the pre-installed host module 1 outside each transport vehicle obtains the full tag library corresponding to the medical transport bucket. The full tag library is then matched against the current tag data, filtering out the current tag data that does not belong to the full tag library to obtain the filtered current tag data. The filtered current tag data is then integrated with the weight data to obtain a data group to be transmitted. Each data group to be transmitted includes the filtered current tag data and the weight data of the medical transport bucket that contains the filtered current tag data. To ensure secure transmission, the data group to be transmitted is encrypted based on pre-set encryption rules and key information to obtain encrypted ciphertext to be transmitted. A dynamic token corresponding to the filtered current tag data and weight data is generated. The connection status and transmission performance information of the current transmission link are obtained. Based on the connection status and transmission performance information, it is determined whether there is an anomaly in the 4G transmission link of the current transmission link. If there is no anomaly, the encrypted ciphertext to be transmitted and the current dynamic token are transmitted to the server via the 4G transmission link. If there is an abnormality, the encrypted ciphertext to be transmitted and the current dynamic token will be transmitted to the server according to the GPS narrowband transmission link. In this process, the full tag library is obtained through the built-in RFID analysis and statistics module of the preset host module 1, and matched with the current tag data, which can effectively filter out abnormal data that does not belong to the full tag library, ensuring that the data uploaded to the server is accurate and in line with expectations, thereby improving the reliability of the data. The filtered current tag data and weight data are integrated to ensure that the data in each data group to be transmitted comes from the same medical transfer barrel, ensuring the correlation and consistency between the data, and further improving the data quality. The data is screened before uploading, which reduces the amount of unnecessary data transmission and improves the efficiency of data transmission. Under limited network bandwidth conditions, key data can be uploaded to the server faster, saving transmission time. When there is an abnormality in the 4G transmission link, it automatically switches to the GPS narrowband transmission link, ensuring the continuity and stability of data transmission, improving the fault tolerance of the system, and ensuring that the data can be reliably transmitted to the server.

[0100] S106: Based on the server, the filtered current label data, the weight data and the real-time location information are managed in real time to trace the transportation status of medical waste in real time.

[0101] Through the pre-installed host module 1 outside each transfer vehicle, the current tag data of the medical transfer barrels within the transfer vehicle is matched and filtered based on the full tag library obtained by the built-in RFID analysis and statistics module. After filtering out data not included in the full tag library, the current tag data is obtained. The server then integrates these different types of data and establishes correlations between them. By correlating the filtered current tag data with weight data and real-time location information, a clear understanding of the detailed information of the waste within each medical transfer barrel and its changes in location during the transfer process can be achieved. For example, the vehicle number and medical transfer barrel number can be used to associate the location information at a specific moment with the tag data and weight data of the corresponding medical transfer barrel at that moment. As the transfer process continues, the server receives new filtered current tag data, weight data, and real-time location information in real time and updates the stored data. This ensures that the data stored in the server is always up-to-date and accurately reflects the real-time transfer status of medical waste. The server can also present the integrated data in a visual format, such as displaying the real-time location of the transfer vehicle on a map, along with information about the medical transfer barrels within the vehicle. Staff can view this information in real time through the client interface, gaining an intuitive understanding of the medical waste transfer process, including vehicle routes, destinations, waste types, and quantities. In addition to real-time viewing, the server also stores historical records of all data. When tracing the medical waste transfer process within a specific time period, staff can use the query function to enter criteria such as the time range, vehicle number, or medical transfer barrel number to retrieve the corresponding historical data. The data can also be analyzed according to pre-set rules, and when anomalies are detected, timely warning notifications are issued. Based on the warning information, staff can take appropriate measures, such as inspecting vehicles and adjusting transfer routes, to ensure the safe and compliant transfer of medical waste.

[0102] Specifically, in one or more embodiments of the present specification, the server manages the filtered current tag data, weight data, and real-time location information in real time to trace the transfer of medical waste in real time, specifically including the following process:

[0103] First, the server decrypts the filtered current tag data, weight data, and real-time location information through the current transmission link and a preset decryption method. Then, using the identification tag of the medical transfer barrel, the weight data and real-time location information are matched and associated with the corresponding medical waste transfer barrel, thereby arranging them in chronological order and obtaining the transfer trajectory data corresponding to each medical waste transfer barrel at each time. It should be noted that the transfer trajectory data includes weight change data and position change data. Based on the weight change data and position change data, the medical waste conversion node corresponding to the medical waste transfer barrel is determined. By obtaining the normal transfer standard data corresponding to each medical waste conversion node, it is possible to determine whether the medical waste conversion node is an abnormal node based on the normal transfer standard data. If it is an abnormal node, an early warning can be issued for the abnormal node, and the identification tag, weight data, and real-time location information of the medical transfer barrel corresponding to the abnormal node can be sent to the corresponding management terminal.

[0104] During this process, weight data and real-time location information are matched and associated with the corresponding medical waste transfer bins using the identification tags on the medical waste transfer bins. These data are then arranged in chronological order, accurately capturing the transfer trajectory data for each medical waste transfer bin at different times. This data processing approach ensures correlation and consistency between different types of data, making the data more organized and manageable. The captured transfer trajectory data includes weight change and location change data, providing a comprehensive and intuitive overview of the dynamic changes in medical waste transfer bins during transport. This data allows managers to clearly understand the transport routes, stopover locations, and waste weight changes of each medical waste transfer bin, enabling real-time and efficient traceability of medical waste transfers. Based on the weight change and location change data, the corresponding medical waste transfer node is determined and compared with standard data for normal transfers, accurately identifying abnormal nodes. This data-based comparative analysis improves the accuracy of abnormality detection and reduces the possibility of misjudgment. Once an abnormal node is detected, an immediate warning is issued, and relevant information is transmitted to the corresponding management terminal. This allows managers to take timely measures to address the abnormal situation, avoid potential risks and problems from escalating, and ensure the safety and compliance of the medical waste transfer process.

[0105] Furthermore, in one or more embodiments of the present specification, after the server manages the filtered current tag data, weight data, and the real-time location information in real time to trace the transfer of medical waste in real time, the method further includes the following process:

[0106] First, medical waste transfer data is aggregated based on preset time intervals, segmented across multiple dimensions, and multi-dimensional trends are identified. Then, based on these multi-dimensional trends, efficient and inefficient medical waste transfer areas are identified. Transfer resources for these areas are then obtained and allocated accordingly. This process aggregates medical waste transfer data based on preset time intervals and segments it across multiple dimensions, enabling in-depth analysis of the data from multiple perspectives (such as time, location, waste type, and weight). This approach can uncover hidden patterns and trends in the medical waste transfer process, such as changes in waste generation over different time periods and regions, and the frequency of transfer of different waste types. These multi-dimensional trends provide rich information for subsequent decision-making. Determining efficient and inefficient medical waste transfer areas based on these multi-dimensional trends allows for precise identification of areas with high and low transfer performance. This helps managers implement targeted management measures for different areas, improving overall transfer efficiency. By acquiring and allocating transfer resources from high-efficiency and low-efficiency transfer areas, we can achieve optimal resource allocation. Transferring resources from low-efficiency areas to high-efficiency areas, or reallocating resources based on the actual needs of different areas, can improve resource utilization efficiency and avoid resource waste.

[0107] like Figure 7 As shown, in the embodiment of this specification, a medical waste tracing system is provided, which is composed of Figure 7 It can be seen that in one or more embodiments of this specification, a medical waste traceability system includes:

[0108] The writing unit 701 writes the full-process processing data of the medical transfer barrels containing medical waste into the identification tags of the medical transfer barrels;

[0109] The positioning unit 702 is configured to determine a corresponding positioning strategy based on the status information of each transfer vehicle, determine the real-time location information of each transfer vehicle according to the positioning strategy, and upload the real-time location information to the server;

[0110] A determination unit 703 is configured to determine whether the transfer vehicle enters a preset geo-fence range based on the real-time location information;

[0111] The scanning and weighing unit 704 is used to scan the identification tags in each transfer vehicle according to the pre-installed RFID scanner inside each transfer vehicle when entering the preset geographical fence, obtain the current tag data in each transfer vehicle, and obtain the weight data of the medical waste in each transfer vehicle based on the pre-installed weighing equipment;

[0112] The data transmission unit 705 is configured to filter the current label data according to a pre-installed host module outside each transfer vehicle, so as to upload the filtered current label data and the weight data to the server;

[0113] The management unit 706 is used to manage the filtered current tag data, the weight data and the real-time location information in real time based on the server, so as to trace the transportation status of medical waste in real time.

[0114] Optionally, in one or more embodiments of this specification, the writing unit is an acquisition and processing host and an 8-channel RFID scanner; wherein, the RFID scanner has a corresponding RFID scanning antenna, and the RFID scanning antenna adopts a floor-type flat antenna in the vehicle compartment, is flatly installed on the vehicle floor, and is encapsulated with epoxy resin and wear-resistant and corrosion-resistant paint. The identification tag of the medical transfer barrel is installed on the bottom of the transfer barrel. In addition, each hardware in the system fully considers compatibility and scalability. The hardware is developed based on the ARM architecture and supports multiple operating systems and application systems at the bottom. At the same time, when designing the hardware, a rich hardware interface is reserved, including USB, Ethernet interface, GPIO pins, serial port, etc., to ensure that the system is compatible with various hardware devices and software technology standards from different manufacturers.

[0115] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0116] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0117] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A medical waste tracing method, characterized in that: Applications to the method include: Determine a corresponding positioning strategy based on the status information of each transfer vehicle, determine the real-time location information of each transfer vehicle according to the positioning strategy, and upload the real-time location information to the server; Determining whether the transfer vehicle enters a preset geographic fence range based on the real-time location information; If so, the identification tags in each transfer vehicle are scanned using the pre-installed RFID scanner inside each transfer vehicle to obtain the current tag data in each transfer vehicle, and the weight data of the medical waste in each transfer vehicle is obtained based on the pre-installed weighing equipment; wherein, before scanning the identification tags embedded in each medical transfer barrel based on each pre-installed RFID scanner, the method further includes: Embedding the identification tag into a fixed position of each medical transport barrel to generate a unique identification code for each identification tag of the medical waste; The current label data is filtered according to a pre-installed host module outside each transfer vehicle, so as to upload the filtered current label data and the weight data to a server; The server manages the filtered current label data, the weight data and the real-time location information in real time to trace the transfer of medical waste in real time; Based on the preset cameras within each of the preset geo-fences, the scene images and the images of the waste in the medical transfer barrel are collected to identify the full-process processing data of the medical waste, and the full-process processing data is written into the identification tag corresponding to the identification code through the RFID reader; The preset camera within the preset geographic fence collects scene images and images of waste in the medical transfer barrel to identify the full-process processing data of the medical waste, specifically including: Acquire the transfer path of the medical transfer barrel to determine the acquisition camera corresponding to the medical transfer barrel within the transfer path; Determine an acquisition frequency by a rate of change of images acquired by the acquisition camera, so as to acquire scene images and images of waste in the medical transport barrel according to the acquisition frequency; Performing feature extraction on the scene image based on a preset convolutional neural network to obtain a feature map corresponding to the scene image, thereby constructing a preset number of recognition frames at each point on the feature map; wherein the preset number of recognition frames have different aspect ratios; screening the recognition frames based on the degree of overlap between the recognition frames to obtain candidate recognition frames, and identifying the candidate recognition frames to obtain scene information corresponding to the scene image; Determining the transport processing stage corresponding to the medical transport barrel based on the scene information to obtain processing standard data corresponding to the transport processing stage, and determining the target candidate area corresponding to the waste image based on the data object association relationship corresponding to the processing standard data; Extracting actual processing data corresponding to the target candidate area in the waste image, so as to mark the processing standard data and the actual processing data according to the transfer processing stage, thereby achieving acquisition of full-process processing data; The server manages the filtered current label data, the weight data, and the real-time location information in real time to trace the transfer of medical waste in real time, specifically including: The server decrypts and obtains the filtered current tag data, the weight data and the real-time location information through the current transmission link and a preset decryption method; By using the identification tag of the medical waste transfer barrel, the weight data and real-time location information are matched and associated with the corresponding medical waste transfer barrel, and arranged in chronological order to obtain the transfer trajectory data corresponding to each medical waste transfer barrel at each time; wherein the transfer trajectory data includes: weight change data and position change data; Determining a medical waste conversion node corresponding to the medical transfer barrel based on the weight change data and the position change data; Obtaining normal transfer standard data corresponding to each of the medical waste conversion nodes, and determining whether the medical waste conversion node is an abnormal node based on the normal transfer standard data; If so, an early warning is issued for the abnormal node, and the identification label of the medical transport barrel corresponding to the abnormal node, the weight data and the real-time location information are sent to the corresponding management terminal.

2. A medical waste tracing method according to claim 1, characterized in that: The method further comprises: determining a corresponding positioning strategy based on the status information of each transfer vehicle, determining the real-time location information of each transfer vehicle according to the positioning strategy, and uploading the real-time location information to the server. Based on each pre-installed RFID scanning all-in-one machine, the identification tag embedded in each medical transfer barrel is scanned to obtain the label data corresponding to the identification tag, thereby realizing the full process traceability of the medical waste.

3. The medical waste tracing method according to claim 1, characterized in that: Determining a corresponding positioning strategy based on the status information of each transfer vehicle to determine the real-time position information of each transfer vehicle according to the positioning strategy specifically includes: Acquiring status information of each of the transfer vehicles; wherein the status information includes: driving status and parking status; If it is determined that the state information is a driving state, receiving a vehicle GPS signal and determining a signal quality of the GPS signal; When the signal quality is higher than a preset threshold, the real-time location information of the transfer vehicle is determined based on the GPS signal; When the signal quality is lower than the preset threshold or the GPS signal is lost, the initial location information of the transfer vehicle is determined based on the GPS signal at the previous moment, and the 4G base station information within the preset range of the initial location information is obtained to correct the initial location information and determine the real-time location information of the transfer vehicle; If it is determined that the state information is a parking state, detecting whether there is an indoor positioning signal based on the indoor positioning program in the positioning main program; If so, the vehicle GPS signal is corrected based on the preset GPS positioning point corresponding to the indoor positioning signal to determine the real-time position information of each transfer vehicle.

4. The medical waste tracing method according to claim 1, characterized in that: Uploading the real-time location information to the server specifically includes: Encrypting the real-time location information based on preset encryption rules and key information to obtain an encrypted ciphertext, and generating a dynamic token corresponding to the real-time location information; Obtaining connection status information and transmission performance information of the current transmission link, and determining whether the 4G transmission link of the current transmission link is abnormal based on the connection status information and the transmission performance information; If there is no abnormality, transmitting the encrypted ciphertext and the dynamic token to the server based on the 4G transmission link; If there is an abnormality, the encrypted ciphertext and the dynamic token are transmitted to the server based on the GPS narrowband transmission link of the current transmission link.

5. The medical waste tracing method according to claim 2, characterized in that: The current label data is filtered according to the pre-installed host module outside each transfer vehicle, so as to upload the filtered current label data and the weight data to the server, specifically including: According to the built-in RFID analysis and statistics module of the pre-installed host module outside each transfer vehicle, a full label library corresponding to the medical transfer barrel is obtained; Based on the matching of the full tag library with the current tag data, the current tag data that does not belong to the full tag library is obtained and filtered to obtain the filtered current tag data; Integrate the filtered current label data and the weight data to obtain a data group to be transmitted; wherein each data group to be transmitted includes the filtered current label data and the weight data of the medical transport barrel that belongs to the same medical transport barrel as the filtered current label data; Encrypting the data group to be transmitted based on preset encryption rules and key information to obtain encrypted ciphertext to be transmitted, and generating a current dynamic token corresponding to the filtered current label data and the weight data; Obtaining connection status information and transmission performance information of the current transmission link, and determining whether the 4G transmission link of the current transmission link is abnormal based on the connection status information and the transmission performance information; If there is no abnormality, transmitting the encrypted ciphertext to be transmitted and the current dynamic token to the server based on the 4G transmission link; If there is an abnormality, the encrypted ciphertext to be transmitted and the current dynamic token are transmitted to the server based on the GPS narrowband transmission link of the current transmission link.

6. A medical waste tracing method according to claim 1, characterized in that: After the server manages the filtered current tag data, the weight data, and the real-time location information in real time to trace the transfer of medical waste in real time, the method further includes: Summarizing the medical waste transfer data based on preset time intervals to divide the transfer data into multiple dimensions and determine the multi-dimensional change trend of the medical waste; Determine the efficient transfer area and the inefficient transfer area of ​​the medical waste based on the multi-dimensional change trend; The transfer resources of the high-efficiency transfer area and the low-efficiency transfer area are obtained respectively to allocate the transfer resources of the high-efficiency transfer area and the low-efficiency transfer area.

7. A medical waste tracing system, characterized in that: The system comprises: The writing unit writes the full-process processing data of the medical transfer barrels where the medical waste is located into the identification tags of each medical transfer barrel; A positioning unit, configured to determine a corresponding positioning strategy based on the status information of each transfer vehicle, to determine the real-time position information of each transfer vehicle according to the positioning strategy, and to upload the real-time position information to a server; a determination unit, configured to determine whether the transfer vehicle enters a preset geographic fence range based on the real-time location information; The scanning weighing unit is used to scan the identification tags in each transfer vehicle according to the pre-installed RFID scanning integrated machine inside each transfer vehicle when entering the preset geographical fence range, obtain the current tag data in each transfer vehicle, and obtain the weight data of the medical waste in each transfer vehicle based on the pre-installed weighing equipment; wherein, before scanning the identification tags embedded in each medical transfer barrel based on each pre-installed RFID scanning integrated machine, the method further includes: Embedding the identification tag into a fixed position of each medical transport barrel to generate a unique identification code for each identification tag of the medical waste; A data transmission unit, configured to filter the current label data according to a pre-installed host module outside each transfer vehicle, so as to upload the filtered current label data and the weight data to a server; A management unit, configured to manage the filtered current label data, the weight data, and the real-time location information in real time based on the server, so as to trace the transfer status of medical waste in real time; Based on the preset cameras within each of the preset geo-fences, the scene images and the images of the waste in the medical transfer barrel are collected to identify the full-process processing data of the medical waste, and the full-process processing data is written into the identification tag corresponding to the identification code through the RFID reader; The preset camera within the preset geographic fence collects scene images and images of waste in the medical transfer barrel to identify the full-process processing data of the medical waste, specifically including: Acquire the transfer path of the medical transfer barrel to determine the acquisition camera corresponding to the medical transfer barrel within the transfer path; Determine an acquisition frequency by a rate of change of images acquired by the acquisition camera, so as to acquire scene images and images of waste in the medical transport barrel according to the acquisition frequency; Performing feature extraction on the scene image based on a preset convolutional neural network to obtain a feature map corresponding to the scene image, thereby constructing a preset number of recognition frames at each point on the feature map; wherein the preset number of recognition frames have different aspect ratios; screening the recognition frames based on the degree of overlap between the recognition frames to obtain candidate recognition frames, and identifying the candidate recognition frames to obtain scene information corresponding to the scene image; Determining the transport processing stage corresponding to the medical transport barrel based on the scene information to obtain processing standard data corresponding to the transport processing stage, and determining the target candidate area corresponding to the waste image based on the data object association relationship corresponding to the processing standard data; Extracting actual processing data corresponding to the target candidate area in the waste image, so as to mark the processing standard data and the actual processing data according to the transfer processing stage, thereby achieving acquisition of full-process processing data; The server manages the filtered current label data, the weight data, and the real-time location information in real time to trace the transfer of medical waste in real time, specifically including: The server decrypts and obtains the filtered current tag data, the weight data and the real-time location information through the current transmission link and a preset decryption method; By using the identification tag of the medical waste transfer barrel, the weight data and real-time location information are matched and associated with the corresponding medical waste transfer barrel, and arranged in chronological order to obtain the transfer trajectory data corresponding to each medical waste transfer barrel at each time; wherein the transfer trajectory data includes: weight change data and position change data; Determining a medical waste conversion node corresponding to the medical transfer barrel based on the weight change data and the position change data; Obtaining normal transfer standard data corresponding to each of the medical waste conversion nodes, and determining whether the medical waste conversion node is an abnormal node based on the normal transfer standard data; If so, an early warning is issued for the abnormal node, and the identification label of the medical transport barrel corresponding to the abnormal node, the weight data and the real-time location information are sent to the corresponding management terminal.

8. A medical waste tracing system according to claim 7, characterized in that: The writing unit is an acquisition and processing host and an 8-channel RFID scanner; wherein, the RFID scanner has a corresponding RFID scanning antenna, which adopts a floor-type flat antenna in the vehicle compartment, is flatly installed on the vehicle floor, and is encapsulated with epoxy resin and wear-resistant and corrosion-resistant paint. The identification tag of the medical transfer barrel is installed to the bottom of the transfer barrel.

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