Medical waste tracing method and system

Abstract

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

Description

Technical Field

[0001] This specification relates to the technical field of data traceability, and particularly to a traceability method and system for medical waste. Background Art

[0002] Medical waste, such as contaminated syringes, surgical instruments, expired drugs, etc., due to its potential infectivity, toxicity and harmfulness, once flowing into the environment, may cause the spread of diseases. Moreover, its composition is complex and the treatment is difficult, requiring strict management processes. Different types of medical waste have different treatment methods. For example, infectious waste needs to be treated by high-temperature disinfection, while chemical waste requires special chemical treatment, which makes the management link extremely complex. Therefore, correctly and safely treating medical waste, strengthening the management of medical waste, and ensuring the traceability of medical waste, that is, the traceability of medical waste has become an important topic in medical waste management.

[0003] In the traditional method, the traceability of medical waste mainly relies on manual records and simple identification systems. Manual records are prone to errors such as misrecording and missing recording, and the recorded information is limited, making it difficult to cover the whole-process processing data. With the development of the Internet of Things technology, it has been possible to accurately manage each link of the collection and transfer of medical waste through a multi-level management mode. From the generation to the disposal of medical waste, a QR code identity certificate can be marked for each bag of medical waste. However, there are still traceability loopholes in the links of waste transfer, disposal, management, etc. It is impossible to grasp the waste transfer situation in real time, and it is extremely easy to lose valuable waste during transportation. Summary of the Invention

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

[0005] One or more embodiments of this specification adopt the following technical solutions: One or more embodiments of this specification provide a traceability method for medical waste, and the method includes: Determining a corresponding positioning strategy based on the status information of each transfer vehicle, so as to determine the real-time position information of each transfer vehicle according to the positioning strategy, and uploading the real-time position information to the server; Determining whether the transfer vehicle enters a preset geographical fence range based on the real-time position information; If so, scanning the identification tags in each transfer vehicle by a preset RFID scanning and integrating machine inside each transfer vehicle to obtain the current tag data in each transfer vehicle, and obtaining the weight data of the medical waste in each transfer vehicle based on a preset weighing device; Filter the current tag data according to the preset host module outside each transfer vehicle, and upload the filtered current tag data and the weight data to the server; Based on the server, manage the filtered current tag data, the weight data and the real-time location information in real time, so as to trace the transfer situation of medical waste in real time.

[0006] Optionally, in one or more embodiments of the present specification, before determining the 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: Scan the identification tags embedded in each medical transfer bucket based on each preset RFID scanning and integrating machine to obtain the tag data corresponding to the identification tags, so as to realize the full-process traceability of the medical waste; Among them, before scanning the identification tags embedded in each medical transfer bucket based on each preset RFID scanning and integrating machine, the method further includes: Embed the identification tags in the fixed positions of each medical transfer bucket to generate a unique identification code for the identification tags of each medical waste; Based on the preset camera within each of the preset geographical fence ranges, collect the scene image and the waste image in the medical transfer bucket, identify the full-process processing data of the medical waste, and write the full-process processing data into the identification tag corresponding to the identification code through the RFID reader-writer.

[0007] Optionally, in one or more embodiments of the present specification, collecting the scene image and the waste image in the medical transfer bucket based on the preset camera within each of the preset geographical fence ranges to identify the full-process processing data of the medical waste specifically includes: Obtain the transfer path of the medical transfer bucket to determine the collection camera corresponding to the medical transfer bucket within the transfer path; Determine the collection frequency through the image change rate of the images collected by the collection camera, and collect the scene image and the waste image in the medical transfer bucket according to the collection frequency; Extract features from the scene image based on the preset convolutional neural network to obtain the feature map corresponding to the scene image, and construct a preset number of recognition frames at each point of the feature map; wherein, the preset number of recognition frames have different aspect ratios; Filter the recognition frames based on the overlap degree between the recognition frames to obtain candidate recognition frames, and identify the candidate recognition frames to obtain the scene information corresponding to the scene image; Determine the corresponding transfer processing stage of the medical transfer bucket based on the scenario information, so as to obtain the processing standard data corresponding to the transfer processing stage, and determine the target candidate area corresponding to the waste image according to the data object association relationship corresponding to the processing standard data; Extract the actual processing data corresponding to the target candidate area in the waste image, and mark the processing standard data and the actual processing data according to the transfer processing stage, so as to obtain the full-process processing data.

[0008] Optionally, in one or more embodiments of this specification, determine the corresponding positioning strategy based on the status information of each transfer vehicle, so as to determine the real-time position information of each transfer vehicle according to the positioning strategy, specifically including: Obtain the status information of each transfer vehicle; wherein, the status information includes: driving status and parking status; If it is determined that the status information is the driving status, receive the vehicle GPS signal and determine the signal quality of the GPS signal; When the signal quality is higher than the preset threshold, determine the real-time position information of the transfer vehicle based on the GPS signal; When the signal quality is lower than the preset threshold or the GPS signal is lost, determine the initial position information of the transfer vehicle based on the GPS signal at the previous moment, and obtain the 4G base station information within the preset range of the initial position information to correct the initial position information, and determine the real-time position information of the transfer vehicle; If it is determined that the status information is the parking status, detect whether there is an indoor positioning signal based on the indoor positioning program in the positioning main program; If so, correct the vehicle GPS signal based on the preset GPS positioning point corresponding to the indoor positioning signal, and determine the real-time position information of each transfer vehicle.

[0009] Optionally, in one or more embodiments of this specification, upload the real-time position information to the server, specifically including: Encrypt the real-time position information based on the preset encryption rule and key information to obtain an encrypted ciphertext, and generate a dynamic token corresponding to the real-time position information; Obtain the connection status information and transmission performance information of the current transmission link. If it is determined whether there is an abnormality in the 4G transmission link of the current transmission link according to the connection status information and the transmission performance information; If there is no abnormality, transmit 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 will be transmitted to the server based on the GPS narrowband transmission link of the current transmission link.

[0010] Optionally, in one or more embodiments of this specification, the current tag data is filtered according to a preset host module outside each transfer vehicle, so as to upload the filtered current tag data and the weight data to the server. Specifically, it includes: According to the RFID analysis and statistics module built in the preset host module outside each transfer vehicle, obtain the full amount of tag libraries corresponding to the medical transfer buckets; Based on the matching between the full amount of tag libraries and the current tag data, obtain the current tag data that does not belong to the full amount of tag libraries for filtering, and obtain the filtered current tag data; Integrate the filtered current tag data and the weight data to obtain a data group to be transmitted; wherein, each data group to be transmitted includes the filtered current tag data and the weight data belonging to the same medical transfer bucket as the filtered current tag data; Encrypt the data group to be transmitted based on the preset encryption rules and key information to obtain an encrypted ciphertext to be transmitted, and generate a current dynamic token corresponding to the filtered current tag data and the weight data; Obtain the connection status information and transmission performance information of the current transmission link, and determine whether there is an abnormality in the 4G transmission link of the current transmission link according to the connection status information and the transmission performance information; If there is no abnormality, transmit 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, transmit the encrypted ciphertext to be transmitted and the current dynamic token to the server based on the GPS narrowband transmission link of the current transmission link.

[0011] Optionally, in one or more embodiments of this specification, the server manages the filtered current tag data, the weight data, and the real-time location information in real time to trace the transfer situation of medical waste in real time. Specifically, it includes: 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 the preset decryption method; Through the identification tag of the medical transfer bucket, match and associate the weight data and the real-time location information with the corresponding medical waste transfer bucket, and arrange them in chronological order to obtain the transfer trajectory data corresponding to each medical waste transfer bucket at each time; wherein, the transfer trajectory data includes: weight change data and location change data; Based on the weight change data and the position change data, determine the medical waste transformation node corresponding to the medical transfer bucket; Obtain the normal transfer standard data corresponding to each of the medical waste transformation nodes, so as to determine whether the medical waste transformation node is an abnormal node according to the normal transfer standard data; If so, give a warning to the abnormal node, and send the identification label of the medical transfer bucket corresponding to the abnormal node, the weight data, and the real-time position information to the corresponding management terminal.

[0012] Optionally, in one or more embodiments of this specification, after the server manages the filtered current label data, the weight data, and the real-time position information in real time to trace the transfer situation of medical waste in real time, the method further includes: Summarize the transfer data of medical waste based on a preset time interval, so as to perform multi-dimensional division on the transfer data 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; Obtain the transfer resources of the efficient transfer area and the inefficient transfer area respectively, so as to allocate the transfer resources of the efficient transfer area and the inefficient transfer area.

[0013] One or more embodiments of this specification provide a tracing system for medical waste, and the system includes: A writing unit that writes the whole-process processing data of the medical waste in the medical transfer bucket into the identification label of each medical transfer bucket; A positioning unit that is used to determine the corresponding positioning strategy based on the status information of each transfer vehicle, so as to determine the real-time position information of each transfer vehicle according to the positioning strategy, and upload the real-time position information to the server; A determination unit that is used to determine whether the transfer vehicle enters a preset geographical fence range based on the real-time position information; A scanning and weighing unit that, when entering the preset geographical fence range, scans the identification labels in each transfer vehicle according to a preset RFID scanning and weighing integrated machine inside each transfer vehicle to obtain the current label data in each transfer vehicle, and obtains the weight data of the medical waste in each transfer vehicle based on a preset weighing device; A data transmission unit that is used to screen the current label data according to a preset host module outside each transfer vehicle, so as to upload the filtered current label data and the weight data to the server; The management unit is used to manage the filtered current tag data, the weight data, and the real-time location information based on the server in real time, so as to trace the transfer situation of medical waste in real time.

[0014] Optionally, in one or more embodiments of this specification, the writing unit is an acquisition and processing host and an 8-channel RFID scanning all-in-one machine; wherein, the RFID scanning all-in-one machine has a corresponding RFID scanning antenna, and the RFID scanning antenna adopts a floor-type flat antenna method in the carriage, and is tiled and installed on the vehicle floor and encapsulated with epoxy resin and wear-resistant, corrosion-resistant paint, and the identification tag of the medical transfer bucket is installed at the bottom of the transfer bucket.

[0015] The above at least one technical solution adopted in the embodiments of this specification can achieve the following beneficial effects: By writing the whole-process processing data into the identification tag, the information of each medical transfer bucket is made coherent and complete, and accurate tracing can be carried out in each link from generation to transfer, which is convenient for management and problem troubleshooting. Determining the positioning strategy based on the status information of the transfer vehicle can adapt to different vehicle operating conditions and environments, ensure the accuracy and reliability of the real-time location information, and provide strong support for subsequent judgments. Using the preset RFID scanning all-in-one machine and weighing equipment to automatically collect the current tag data and weight data, reduce manual intervention, improve the data collection efficiency and accuracy, and at the same time reduce the risk of human errors. By screening the current tag data through the preset host module outside the transfer vehicle, removing invalid or redundant data, and uploading valuable information, the processing burden on the server can be reduced, and the data transmission and management efficiency can be improved. The server manages the filtered tag data, weight data, and real-time location information in real time, can monitor the transfer dynamics of medical waste in real time, discover abnormal situations in time and take measures, and improve the management level and safety of medical waste transfer. Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments recorded in this specification. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. In the drawings: Figure 1 It is a schematic flow chart of a method for tracing medical waste provided by an embodiment of this specification; Figure 2 It is a schematic diagram of a data acquisition architecture of medical waste provided by an embodiment of this specification; Figure 3 It is a schematic diagram of a positioning architecture of medical waste provided by an embodiment of this specification; Figure 4 An interior top view of a transfer vehicle provided by an embodiment of this specification; Figure 5 An interior side view of a transfer vehicle provided by an embodiment of this specification; Figure 6 A schematic diagram of a screening process for label data provided by an embodiment of this specification; Figure 7 A schematic structural diagram of a traceability system for medical waste provided by an embodiment of this specification.

[0017] Figure 4 And Figure 5 In [reference], 1 is a preset host module, and 2 is a preset RFID scanning all-in-one machine. Specific implementation manners

[0018] An embodiment of this specification provides a method and system for tracing medical waste.

[0019] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of this specification.

[0020] As Figure 1 shown, an embodiment of this specification provides a schematic diagram of the process of a method for tracing medical waste. It can be seen from Figure 1 that in one or more embodiments of this specification, a method for tracing medical waste includes the following steps: S101: Determine a corresponding positioning strategy based on the status information of each transfer vehicle, so as to determine the real-time position information of each transfer vehicle according to the positioning strategy, and upload the real-time position information to the server.

[0021] As Figure 3 shown, in order to achieve real-time positioning of the transfer vehicle and avoid the problems of incorrect transfer or loss of medical waste, in the embodiments of this specification, the GPS technology and the indoor positioning technology are simultaneously accessed, so as to determine a corresponding positioning strategy according to the status information of each transfer vehicle, and then determine the real-time position information of each transfer vehicle according to the positioning strategy, and further upload the real-time position information to the server.

[0022] Before that, when medical waste is generated, it will be classified and loaded into special medical waste transfer bins. In order to ensure the traceability of the transfer process, each medical waste transfer bin is equipped with a customized identification tag, such as an RFID tag. The identification tag is made of special materials that are resistant to high temperatures, corrosion, water, and dust, so as to ensure stability and readability in various environments. 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 bin, so as to write the full-process processing data of the medical waste in the corresponding medical waste transfer bin into the identification tag of each medical waste transfer bin. Specifically, in one or more embodiments of this specification, before determining the 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 strategy and uploading the real-time position information to the server, the following process is further included: Based on each pre-set RFID scanning and integrating machine, scan the identification tags embedded in each medical waste transfer bin to obtain the tag data corresponding to the identification tags, so as to realize the full-process traceability of medical waste. Among them, before scanning the identification tags embedded in each medical waste transfer bin based on each pre-set RFID scanning and integrating machine, the method further includes: Embed identification tags of corresponding types into fixed positions of each medical waste transfer bin to generate a unique identification code for the identification tags of each medical waste. That is, in a certain application scenario, first, obtain the first basic data of each medical waste transfer bin and the second basic data of each pre-set RFID scanning and integrating machine, and then determine the reading distance range of the identification tags according to the first basic data and the second basic data. By obtaining the first basic data of each medical waste transfer bin and the second basic data of each pre-set RFID scanning and integrating machine to determine the reading distance range of the identification tags, it is possible to adapt according to the characteristics of the actual equipment and transfer bins, ensure that the identification tags are accurately read within an appropriate distance, improve the reliability and stability of data collection, and avoid data reading failures or errors caused by improper reading distances. Then, based on the type of medical waste in the transfer vehicle, match it with the pre-set traceability standard table to determine the data transmission frequency of the identification tags. According to the management requirements and traceability needs of different types of medical waste, the frequency of data transmission can be reasonably arranged. For medical waste types that require more frequent monitoring and traceability, a higher data transmission frequency can be set to ensure the timeliness and integrity of the data and meet strict management requirements. Then, comprehensively consider the reading distance range, data transmission frequency, and the interference frequency range corresponding to the transfer vehicle to determine the working frequency range of the identification tags, and then determine the identification tags of the corresponding type according to the working frequency range, and embed the identification tags of the corresponding type into the fixed positions of each medical waste transfer bin to generate a unique identification code for the identification tags of each medical waste.

[0023] Then, within each preset geographical fence, based on the preset cameras, scene images and waste images inside the medical transfer buckets are collected to identify the full-process processing data of the medical waste, and then the full-process processing data is written into the identification tag corresponding to the identification code through the RFID reader / writer.

[0024] During the process of the injury site, by collecting scene images and waste images inside the medical transfer buckets within each preset geographical fence, information on medical waste at each link can be comprehensively obtained, including the surrounding environment, waste status, etc. Among them, it should be noted that the preset geographical fence range can be set based on the geographical area ranges of each loading and unloading point and the treatment center involved in the medical waste transfer process. Writing the full-process processing data into the identification tag corresponding to the identification code through the RFID reader / writer realizes the accurate association of the data with the medical transfer bucket. Ensuring that the identification tag of each medical transfer bucket records its own full-process processing data facilitates data storage, query, and traceability, providing reliable data support for the management of medical waste.

[0025] In addition, it should be noted that during the above process of obtaining the identification tag, according to the characteristics of the medical waste transfer bucket, the RFID reader / writer can be customized and developed to ensure accurate and rapid identification of all RFID tags in the transfer vehicle. At the same time, considering the characteristics of high temperature, high humidity, high corrosiveness, and high-frequency handling inside the transfer vehicle, a drop-shaped flexible RFID antenna with a mixed three-proof coating can be customized, so as to minimize the antenna volume while ensuring scanning accuracy and 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 the stability and readability of the tag in various environments. And each of the above preset RFID scanning integrated machines can be installed in the vehicle as shown in Figure 4 and Figure 5 The position shown. Through the preset host module 1 outside each transfer vehicle, it can cooperate with the integrated flat RFID scanning antenna and the preset RFID scanning integrated machine 2 installed in the vehicle to scan the RFID tags in the transfer vehicle. During this process, by adopting the floor-type flat antenna method in the vehicle compartment, it is laid flat on the vehicle floor and encapsulated with epoxy resin and wear-resistant and corrosion-resistant paint. The RFID tag is installed at the bottom of the transfer bucket, which can ensure scanning accuracy and stability.

[0026] As Figure 6As shown, in a certain application scenario, the scanning all-in-one machine adopts an 8-way antenna design to ensure that medical waste transfer buckets in all corners of the carriage can be effectively identified. The horizontal installation position of the antenna can be adjusted at a height of 65 - 75 cm above the ground in the carriage according to the driver and the model of the medical waste transfer bucket to achieve the best scanning effect. Then, select the UHF band RFID device according to actual needs to meet the requirements of scanning distance and penetration ability. During the scanning process, the UHF band RFID device will first transmit radio frequency signals through its built-in antenna. The frequency range is usually between 860 - 960 MHz. It emits high-frequency electromagnetic waves to activate RFID tags within its working range. When an RFID tag enters the radio frequency signal field emitted by the reader-writer, the tag's antenna will receive the radio frequency 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 the induction coil, providing energy for the chip inside the tag. Before receiving the radio frequency signal from the reader-writer, the tag is in a "sleep" state without energy supply. Once it receives a strong enough radio frequency signal, 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-writer. The chip inside the tag will modulate the stored data, converting 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-writer through its antenna. The frequency used by the tag to send data is the same as the frequency emitted by the reader-writer, both within the UHF band range, and sends its own data through the radio frequency signal. These data will propagate in space in the form of electromagnetic waves until they are received by the antenna of the reader-writer. After the antenna of the reader-writer receives the data sent back by the tag, it will convert the radio frequency signal into an electrical signal and transmit it to the signal processing module of the reader-writer. Since the received signal is relatively weak and may be affected by electromagnetic interference in the surrounding environment, the reader-writer needs to amplify and filter the signal. Amplifying the signal can enhance the signal strength, making it easier to be processed by subsequent circuits; filtering is to remove interference signals and only retain the useful signals sent back by the tag. The signal after amplification and filtering will be sent to the demodulation circuit of the reader-writer. The function of the demodulation circuit is to restore the received modulated signal to the original digital information. The demodulation circuit will restore the data according to the change in signal amplitude. The demodulated digital information still needs to be decoded. Decoding is the reverse operation according to the rules used when the tag is encoded, converting the digital signal into actual information. The data decoded by the reader-writer will be transmitted to the in-vehicle device connected to it for further processing. The RFID analysis and statistics module will receive the RFID data transmitted by the scanning all-in-one machine, parse, count, and analyze it, providing basic data support for the traceability system.Based on the full-scale tag library obtained during RFID tag procurement, after receiving the full-scale tag information scanned by the on-vehicle equipment of the transfer vehicle, it is compared with the full-scale tag library. If the comparison is successful, data is uploaded; if the comparison fails, the tag is discarded. The analysis module collects all the tag information in the carriage through the built-in RFID antenna, including the RFID tags installed on the transfer barrels, the aviation RFID tags on some imported drugs, and other various RFID tags. Through the built-in big data analysis component in the analysis and statistics module, based on the transfer barrel tag feature library, the transfer barrel tags are screened out and uploaded to the service platform.

[0027] Furthermore, in one or more embodiments of this specification, within each preset geographical fence range, based on the preset cameras, scene images and waste images inside the medical transfer barrels are collected to identify the full-process processing data of medical waste, which specifically includes the following processes: In order to accurately match the most suitable collection camera for each medical transfer barrel, thereby improving the pertinence and effectiveness of image collection, first, the transfer path of the medical transfer barrel is obtained to determine the collection cameras corresponding to the medical transfer barrel within the transfer path. That is, in a certain application scenario, the obtained transfer path of the medical transfer barrel can be encoded to obtain the corresponding qubit sequence. Then, based on this qubit sequence and the positions of each camera within the preset geographical fence range, a quantum annealing process is executed. It can be understood that quantum annealing is an optimization algorithm that finds the optimal solution by simulating the annealing process of a quantum system. This process takes advantage of quantum computing to comprehensively consider complex factors such as the transfer path and camera positions, and accurately matches the most suitable collection camera for each medical transfer barrel. Compared with the traditional random or fixed camera allocation method, it greatly improves the pertinence and effectiveness of image collection and ensures the quality of subsequent data collection. Then, the collection frequency is determined by the change rate of the images collected by the collection cameras, and the scene images and waste images inside the medical transfer barrels are collected according to the collection frequency. Since the image change rate reflects the change speed of the scene or the waste inside the medical transfer barrel, if the change rate is large, it means that the scene or the waste state changes rapidly, and a higher collection frequency is required to capture these changes; conversely, if the change rate is small, the collection frequency can be appropriately reduced. In addition, the image change rate can calculate the similarity between two adjacent frames of images. If the similarity exceeds a certain threshold, it is considered that the image change is small, and the collection of this frame of image can be skipped, thereby reducing the collection frequency. By collecting the scene images and waste images inside the medical transfer barrels according to the determined collection frequency, it is possible to reasonably utilize resources under the premise of ensuring the acquisition of effective information, and avoid problems of over-collection or under-collection.

[0028] After obtaining the scene image and the waste image in the medical transfer bucket, the feature extraction of the scene image will be performed based on a pre-set convolutional neural network to obtain the feature map corresponding to the scene image, so as to construct a preset number of recognition frames at each point of the feature map. Among them, it should be noted that the preset number of recognition frames has different aspect ratios. Then, the recognition frames are screened based on the overlap degree between the recognition frames to obtain candidate recognition frames, so as to map the candidate recognition frames to the hyperbolic space for feature recognition, and obtain the scene information corresponding to the scene image. Among them, mapping the candidate recognition frames to the hyperbolic space for feature recognition and obtaining the scene information corresponding to the scene image can be achieved by training a neural network model that can map the feature vectors in the Euclidean space to the hyperbolic space. Then, the mapped points are clustered in the hyperbolic space, and similar feature points are clustered into one category, so as to be associated according to the clustering structure and the predefined scene information categories, so as to obtain the scene information corresponding to the scene image. By screening the recognition frames based on the overlap degree and performing feature recognition in the hyperbolic space, it is possible to more accurately locate and identify the objects in the scene, remove redundant and unreasonable recognition frames, improve the accuracy of scene information acquisition, and help to more clearly understand and analyze the scene. Then, based on the scene information, the transfer processing stage corresponding to the medical transfer bucket is determined, so as to obtain the processing standard data corresponding to the transfer processing stage, and according to the data object association relationship corresponding to the processing standard data, the target candidate area corresponding to the waste image is determined. By: determining the transfer processing stage based on the scene information and determining the target candidate area of the waste image according to the association relationship of the processing standard data, the accurate positioning and analysis of the medical waste treatment process are realized, the waste parts and features that need to be concerned can be accurately found, and the pertinence and effectiveness of data collection are improved. Then, by extracting the actual processing data corresponding to the target candidate area in the waste image, the processing standard data and the actual processing data can be marked according to the transfer processing stage, so as to obtain the full-process processing data. It can be understood that: the determination process of the transfer processing stage can first combine the scene information corresponding to the previously obtained scene image, such as different scenes where the medical transfer bucket is at the hospital internal collection point, transport vehicle, processing workshop, etc., and initially judge the transfer processing stage. Then, considering the time sequence and process logic of medical transfer, analyze the time stamp of image acquisition and the changes in the front and back images to further determine the current transfer processing stage. For example, if within a period of time, the image shows that the medical transfer bucket moves from the hospital internal to the transport vehicle and then to the processing workshop, the transfer processing stage can be accurately judged according to these time series information. By editing to obtain the full-process processing data, the problems of incomplete and inaccurate data collection in the past, which are difficult to trace and manage effectively, are solved, providing strong data support for the whole life cycle management of medical waste.

[0029] Specifically, in one or more embodiments of this specification, a corresponding positioning strategy is determined 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. The specific process includes the following: First, obtain the status information of each transfer vehicle. Among them, the status information can be determined by in-vehicle sensors equipped on the vehicle, and the status information includes: driving status and parking status. If it is determined that the status information is the driving status, then receive the vehicle GPS signal and determine the signal quality of the GPS signal. Then, when the signal quality is higher than the preset threshold, the real-time position information of the transfer vehicle is determined according to the GPS signal. In addition, when the signal quality is lower than the preset threshold or the GPS signal is lost, the initial position information of the transfer vehicle is determined according to the GPS signal at the previous moment, and at the same time, the 4G base station information within the preset range of the initial position information is obtained to correct the initial position information to determine the real-time position information of the transfer vehicle. If it is determined that the status information is the parking status, then at this time, it is detected whether there is an indoor positioning signal based on the indoor positioning program in the positioning main program. If there is an indoor positioning signal, the vehicle GPS signal is corrected according to the preset GPS positioning point corresponding to the indoor positioning signal to determine the real-time position information of each transfer vehicle.

[0030] In this process, for vehicles in the driving state, the positioning method is dynamically adjusted according to the GPS signal quality. When the GPS signal quality is high, the GPS signal is directly used to determine the real-time position, ensuring the high precision and real-time performance of the positioning, because GPS positioning itself can provide relatively accurate geographical coordinates. When the signal quality is low or lost, positioning is performed by combining the GPS signal at the previous moment and the 4G base station information. Utilizing the wide distribution of 4G base stations, the vehicle position is corrected and estimated to ensure continuous tracking of the vehicle position in a complex environment and avoid positioning interruption due to GPS signal problems. In addition, for vehicles in the parking state, considering that the vehicle may be parked in an indoor environment, the vehicle GPS signal is corrected by detecting the indoor positioning signal and combining the preset GPS positioning point. The indoor positioning signal can make up for the poor indoor positioning effect of GPS, so that the vehicle position information can be accurately obtained when the vehicle is parked, meeting the positioning requirements of the vehicle in various scenarios. And when the GPS signal quality is good, GPS positioning is preferentially used, making full use of the high precision and real-time performance of GPS positioning and reducing the dependence on other positioning resources. Only when the GPS signal is poor or lost, other methods such as 4G base station positioning are enabled, avoiding unnecessary resource waste.

[0031] Specifically, in one or more embodiments of this specification, uploading the real-time position information to the server specifically includes: To ensure the security of data during transmission and prevent it from being stolen or tampered with, in the embodiments of this specification, the real-time location information will be encrypted based on preset encryption rules and key information to obtain an encrypted ciphertext, and a dynamic token corresponding to the real-time location information will be generated. Then, 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. According to 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 the dynamic token will be transmitted to the server via the 4G transmission link; if there is an abnormality, the encrypted ciphertext and the dynamic token will be transmitted to the server based on the GPS narrowband transmission link. That is, as Figure 2 shown, a dual-link transmission method using the 4G transmission link and the GPS narrowband transmission link is adopted during data transmission to ensure that data transmission can still be completed when the main link is abnormal. Encrypting the real-time location information based on preset encryption rules and key information ensures the confidentiality of the location information during transmission, preventing eavesdropping or plaintext leakage. Adding the dynamic token mechanism also effectively prevents problems such as data tampering and replay attacks.

[0032] S103: Determine whether the transfer vehicle enters the preset geographical fence range based on the real-time location information.

[0033] After uploading the real-time location information to the server based on the above step S102, the encrypted ciphertext can be decrypted to obtain the real-time location information after verifying the dynamic token. Then, by comparing the real-time location information with the threshold geographical fence range, it can be determined whether the transfer vehicle has entered the preset geographical fence range, that is, whether the transfer vehicle has entered the loading and unloading point or the medical waste treatment center.

[0034] S104: If so, scan the identification tags in each transfer vehicle using the preset RFID scanning and integrating 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 device.

[0035] If it is determined that the transfer vehicle has entered the preset geographical fence range, then at this time, in order to trace the medical waste in each medical transfer bucket on the transfer vehicle in a timely manner, the identification tags in each transfer vehicle will be scanned by the pre-installed RFID scanning and integration machine inside each transfer vehicle, so as to obtain the current tag data in each transfer vehicle, and the weight data of the waste in each transfer vehicle will be obtained according to the pre-installed weighing equipment. Among them, the pre-installed weighing equipment can be a third-party weighing equipment other than the medical weighbridge and the disposal agency weighbridge, so as to weigh and evaluate the medical waste actually loaded on the transfer vehicle. When the medical waste is lost, missing, or the weight is inconsistent, it can be used as a reference value to judge the whereabouts of the medical waste. And by combining the identification tag data of the medical transfer bucket with the waste weight data, a more comprehensive file is established for the medical waste. It can not only understand the basic information such as the source and type of the medical waste, but also master the dynamic data such as its weight change, which is convenient for detailed recording and analysis of the entire circulation process of the medical waste, and provides richer information support for subsequent processing, management and other work.

[0036] S105: Screen the current tag data according to the pre-installed host module outside each transfer vehicle, so as to upload the screened current tag data and the weight data to the server.

[0037] As Figure 6 shown, in order to be able to screen out irrelevant or redundant data, in the embodiments of this specification, the current tag data will be screened according to the pre-installed host module 1 outside each transfer vehicle, so as to upload the screened current tag data and the weight data to the server. Specifically, in one or more embodiments of this specification, screening the current tag data according to the pre-installed host module 1 outside each transfer vehicle to upload the screened current tag data and the weight data to the server specifically includes the following process: First, according to the built-in RFID analysis and statistics module of the preset host module 1 outside each transfer vehicle, obtain the full label library corresponding to the medical transfer bucket. Then, match the full label library with the current label data, filter the current label data that does not belong to the full label library, and obtain the filtered current label data. Next, integrate the filtered current label data with the weight data to obtain a data group to be transmitted; among them, each data group to be transmitted includes the filtered current label data and the weight data belonging to the same medical transfer bucket as the filtered current label data. To achieve secure transmission, encrypt the data group to be transmitted based on the preset encryption rules and key information to obtain the encrypted ciphertext to be transmitted, and generate a current dynamic token corresponding to the filtered current label data and the weight data. Obtain the connection status information and transmission performance information of the current transmission link. If it is determined whether there is an abnormality in the 4G transmission link of the current transmission link according to the connection status information and the transmission performance information; if there is no abnormality, then transmit 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, then transmit the encrypted ciphertext to be transmitted and the current dynamic token to the server according to the GPS narrowband transmission link. In this process, the full label library is obtained through the built-in RFID analysis and statistics module of the preset host module 1 and matched with the current label data, which can effectively filter out abnormal data that does not belong to the full label library, ensure that the data uploaded to the server is accurate and meets expectations, and improve the reliability of the data. Integrate the filtered current label data with the weight data to ensure that the data in each data group to be transmitted comes from the same medical transfer bucket, guarantee the relevance and consistency of the data, and further improve the data quality. After screening the data and then uploading it, it reduces the unnecessary data transmission volume and improves the data transmission efficiency. Under the condition of limited network bandwidth, it can upload key data to the server faster and save the 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.

[0038] S106: Based on the server, manage the filtered current label data, the weight data, and the real-time location information in real time to trace the transfer situation of medical waste in real time.

[0039] Through the preset host module 1 outside each transport vehicle, based on the full label library obtained by the built-in RFID analysis and statistics module, the current label data of the medical transport buckets in the transport vehicle is matched and screened. After filtering out the data that does not belong to the full label library, the current label data is obtained. Then the server can integrate these different types of data and establish the association relationship between them. By associating the screened current label data with the weight data and real-time location information, the detailed situation of the waste in each medical transport bucket and its location change during the transport process can be clearly understood. For example, through the vehicle number and the medical transport bucket number, the location information at a certain moment, the label data of the medical transport bucket corresponding to that moment, and the weight data can be corresponding. As the transport process continues, the server will receive the new screened current label data, weight data, and real-time location information in real time and update the stored data. Ensure that the data stored in the server is always the latest and can accurately reflect the real-time transport situation of medical waste. In addition, the server can also present the integrated data in a visual way, such as showing the real-time location of the transport vehicle on the map and at the same time showing the relevant information of the medical transport buckets in the vehicle. The staff can view this information in real time through the client interface and intuitively understand the transport situation of medical waste, including the driving route of the vehicle, the arrival location, the types and quantities of waste, etc. In addition to real-time viewing, the server also saves the historical records of all data. When it is necessary to trace the transport situation of medical waste within a specific time period, the staff can, through the query function, input conditions such as the relevant time range, vehicle number, or medical transport bucket number to obtain the corresponding historical data. And can analyze the data according to the preset rules. When an abnormal situation is found, a warning notice is sent in time. The staff can take corresponding measures according to the warning information, such as checking the vehicle, adjusting the transport route, etc., to ensure the safety and compliance of the transport process of medical waste.

[0040] Specifically, in one or more embodiments of this specification, based on the server's real-time management of the screened current label data, weight data, and real-time location information to trace the transport situation of medical waste in real time, it specifically includes the following processes: First, the server decrypts and obtains the filtered current tag data, weight data, and real-time location information through the preset decryption method via the current transmission link. Then, through the identification tag of the medical transfer bucket, the weight data and real-time location information are matched and associated with the corresponding medical waste transfer bucket, and thus arranged according to the time sequence to obtain the transfer trajectory data corresponding to each medical waste transfer bucket at each time. Among them, it should be noted that the transfer trajectory data includes: weight change data and location change data. Based on the weight change data and location change data, the medical waste transformation nodes corresponding to the medical transfer bucket are determined. By obtaining the normal transfer standard data corresponding to each of the medical waste transformation nodes, it is possible to determine whether the medical waste transformation node is an abnormal node according to the normal transfer standard data. If it is an abnormal node, then an alarm can be issued for the abnormal node, and the identification tag, weight data, and real-time location information of the medical transfer bucket corresponding to the abnormal node are sent to the corresponding management terminal.

[0041] In this process, through the identification tag of the medical transfer bucket, the weight data and real-time location information are matched and associated with the corresponding medical waste transfer bucket, and arranged in chronological order, so as to accurately obtain the transfer trajectory data of each medical waste transfer bucket at different times. This data processing method ensures the relevance and consistency between different types of data, making the data more orderly and easy to manage. The obtained transfer trajectory data includes weight change data and location change data, which can comprehensively and intuitively display the dynamic changes of the medical waste transfer bucket during the transfer process. Managers can clearly understand the transportation path, stop location, and changes in waste weight of each medical transfer bucket through these data, realizing real-time and efficient traceability of the medical waste transfer situation. Based on the weight change data and location change data, the medical waste transformation nodes corresponding to the medical transfer bucket are determined and compared with the normal transfer standard data, which can accurately identify abnormal nodes. This method based on data comparison and analysis improves the accuracy of abnormal judgment and reduces the possibility of misjudgment. Then once an abnormal node is found, an alarm is immediately issued, and the relevant information is sent to the corresponding management terminal. This enables managers to take timely measures to handle abnormal situations, avoid the expansion of potential risks and problems, and ensure the safety and compliance of the medical waste transfer process.

[0042] Furthermore, in one or more embodiments of this 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 situation of medical waste in real time, the method further includes the following process: First, summarize the transfer data of medical waste based on a preset time interval to perform multi-dimensional partitioning of the transfer data and determine the multi-dimensional change trends of medical waste. Then, determine the efficient transfer areas and inefficient transfer areas of medical waste according to the multi-dimensional change trends. Obtain the transfer resources of the efficient transfer areas and the inefficient transfer areas respectively to allocate the transfer resources of the efficient transfer areas and the inefficient transfer areas. This process summarizes the transfer data of medical waste based on a preset time interval and performs multi-dimensional partitioning, which can deeply analyze the transfer data from multiple perspectives (such as time, location, waste type, weight, etc.). In this way, the hidden rules and trends in the medical waste transfer process can be discovered, such as the changes in the waste generation volume in different time periods and different regions, and the transfer frequencies of different types of waste. These multi-dimensional change trends provide rich information support for subsequent decision-making. Determining the efficient transfer areas and inefficient transfer areas of medical waste according to the multi-dimensional change trends can accurately locate the areas with better and worse performance in the transfer process. This helps managers take different management measures for different regions targeted to improve the overall transfer efficiency. And obtaining the transfer resources of the efficient transfer areas and the inefficient transfer areas respectively and performing allocation can achieve the optimal allocation of resources. Transferring resources from inefficient areas to efficient areas or reallocating resources according to the actual needs of different regions can improve the utilization efficiency of resources and avoid waste of resources.

[0043] As Figure 7 shown, in the embodiments of this specification, a tracing system for medical waste is provided. Figure 7 It can be known that in one or more embodiments of this specification, a tracing system for medical waste, the system includes: A writing unit 701 that writes the whole-process processing data of the medical transfer bucket where the medical waste is located into the identification tags of each medical transfer bucket; A positioning unit 702, 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 upload the real-time position information to the server; A determining unit 703, configured to determine whether the transfer vehicle enters a preset geographical fence range based on the real-time position information; A scanning and weighing unit 704, configured to, when entering the preset geographical fence range, scan the identification tags in each transfer vehicle according to a preset RFID scanning and weighing integrated machine inside each transfer vehicle, obtain the current tag data in each transfer vehicle, and obtain the weight data of the medical waste in each transfer vehicle based on a preset weighing device; A data transmission unit 705 is configured to screen the current tag data according to a preset host module outside each transfer vehicle, so as to upload the screened current tag data and the weight data to a server; A management unit 706 is configured to manage the screened current tag data, the weight data and the real-time position information in real time based on the server, so as to trace the transfer situation of medical waste in real time.

[0044] Optionally, in one or more embodiments of this specification, the writing unit is an acquisition processing host and an 8-channel RFID scanning all-in-one machine; wherein, the RFID scanning all-in-one machine has a corresponding RFID scanning antenna, and the RFID scanning antenna adopts a floor-type flat antenna method in the carriage, and is tiled and installed on the vehicle floor and encapsulated with epoxy resin and wear-resistant and corrosion-resistant paint. The identification tag of the medical transfer bucket is installed at the bottom of the transfer bucket. In addition, the compatibility and scalability of each hardware in this system are fully considered. The hardware is developed based on the ARM architecture and supports multiple operating systems and application systems at the bottom layer. At the same time, when the hardware is designed, rich hardware interfaces are reserved, including USB, Ethernet interfaces, GPIO pins, serial ports, etc., to ensure that the system can be compatible with various hardware devices and software technical standards of different manufacturers.

[0045] Each embodiment in this specification is described in a progressive manner. The same or similar parts between each embodiment can be referred to each other, and the key points of each embodiment are the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments.

[0046] The specific embodiments of this specification are described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the particular order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0047] The above description is only for one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A tracing method for medical waste, characterized in that, The applications to the method include: Determining corresponding positioning strategies based on the status information of each transfer vehicle, so as to determine the real-time position information of each transfer vehicle according to the positioning strategies and upload the real-time position information to the server; Determining whether the transfer vehicle enters a preset geographical fence range based on the real-time position information; If so, scanning the identification tags in each transfer vehicle by using the preset RFID scanning and integrating machine inside each transfer vehicle to obtain the current tag data in each transfer vehicle, and obtaining the weight data of the medical waste in each transfer vehicle based on the preset weighing equipment; Screening the current tag data by using the preset host module outside each transfer vehicle, and uploading the screened current tag data and the weight data to the server; Managing the screened current tag data, the weight data and the real-time position information in real time based on the server to trace the transfer situation of the medical waste in real time.

2. The traceability method of a kind of medical waste according to claim 1, characterized in that, Before determining corresponding positioning strategies based on the status information of each transfer vehicle, so as to determine the real-time position information of each transfer vehicle according to the positioning strategies and upload the real-time position information to the server, the method further includes: Scanning the identification tags embedded in each medical transfer bucket by using each preset RFID scanning and integrating machine to obtain the tag data corresponding to the identification tags, so as to realize the full-process traceability of the medical waste; Wherein, before scanning the identification tags embedded in each medical transfer bucket by using each preset RFID scanning and integrating machine, the method further includes: Embedding the identification tags in the fixed positions of each medical transfer bucket to generate a unique identification code for the identification tags of each medical waste; Collecting a scene image and an image of the waste in the medical transfer bucket based on a preset camera within each preset geographical fence range, identifying the full-process processing data of the medical waste, and writing the full-process processing data into the identification tag corresponding to the identification code through an RFID reader-writer.

3. The traceability method for medical waste according to claim 2, wherein, Collecting a scene image and an image of the waste in the medical transfer bucket based on a preset camera within each preset geographical fence range to identify the full-process processing data of the medical waste, specifically including: Obtaining the transfer path of the medical transfer bucket to determine the collection camera corresponding to the medical transfer bucket within the transfer path; Determining the collection frequency according to the image change rate of the images collected by the collection camera, and collecting the scene image and the image of the waste in the medical transfer bucket according to the collection frequency; Extracting features from the scene image based on a preset convolutional neural network to obtain a feature map corresponding to the scene image, and constructing a preset number of recognition frames at each point of the feature map; wherein, the preset number of recognition frames have different aspect ratios; Screening the recognition frames based on the overlap degree between the recognition frames to obtain candidate recognition frames, and recognizing the candidate recognition frames to obtain the scene information corresponding to the scene image. Determine the corresponding transfer processing stage of the medical transfer bucket based on the scene information, so as to obtain the processing standard data corresponding to the transfer processing stage, and determine the target candidate area corresponding to the waste image according to the data object association relationship corresponding to the processing standard data; Extract the 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, and realize the acquisition of the whole-process processing data.

4. A tracing method for medical waste according to claim 1, characterized in that, Determine the corresponding positioning strategy based on the status information of each transfer vehicle, so as to determine the real-time position information of each transfer vehicle according to the positioning strategy, specifically including: Obtain the status information of each transfer vehicle; wherein, the status information includes: driving status and parking status; If it is determined that the status information is the driving status, receive the vehicle GPS signal and determine the signal quality of the GPS signal; When the signal quality is higher than the preset threshold, determine the real-time position information of the transfer vehicle based on the GPS signal; When the signal quality is lower than the preset threshold or the GPS signal is lost, determine the initial position information of the transfer vehicle based on the GPS signal at the previous moment, and obtain the 4G base station information within the preset range of the initial position information to correct the initial position information, and determine the real-time position information of the transfer vehicle; If it is determined that the status information is the parking status, detect whether there is an indoor positioning signal based on the indoor positioning program in the positioning main program; If so, correct the vehicle GPS signal based on the preset GPS positioning point corresponding to the indoor positioning signal, and determine the real-time position information of each transfer vehicle.

5. A traceability method for medical waste according to claim 1, characterized in that, Upload the real-time position information to the server, specifically including: Encrypt the real-time position information based on the preset encryption rule and key information to obtain an encrypted ciphertext, and generate a dynamic token corresponding to the real-time position information; Obtain the connection status information and transmission performance information of the current transmission link, and determine whether there is an abnormality in the 4G transmission link of the current transmission link according to the connection status information and the transmission performance information; If there is no abnormality, transmit the encrypted ciphertext and the dynamic token to the server based on the 4G transmission link; If there is an abnormality, transmit the encrypted ciphertext and the dynamic token to the server based on the GPS narrowband transmission link of the current transmission link.

6. The traceability method for medical waste according to claim 2, characterized in that, Screen the current tag data according to the preset host module outside each transfer vehicle, so as to upload the screened current tag data and the weight data to the server, specifically including: Obtain the full-scale tag library corresponding to the medical transfer bucket according to the RFID analysis and statistics module built in the preset host module outside each transfer vehicle; Match the full-scale tag library with the current tag data, filter the current tag data that does not belong to the full-scale tag library, and obtain the screened current tag data; Integrate the filtered current tag data with the weight data to obtain a data group to be transmitted; wherein each data group to be transmitted includes the filtered current tag data and the weight data belonging to the same medical transfer bucket as the filtered current tag data; Encrypt the data group to be transmitted based on a preset encryption rule and key information to obtain an encrypted ciphertext to be transmitted, and generate a current dynamic token corresponding to the filtered current tag data and the weight data; Obtain the connection status information and transmission performance information of the current transmission link, and determine whether there is an abnormality in the 4G transmission link of the current transmission link according to the connection status information and the transmission performance information; If there is no abnormality, transmit 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, transmit the encrypted ciphertext to be transmitted and the current dynamic token to the server based on the GPS narrowband transmission link of the current transmission link.

7. A tracing method for medical waste according to claim 2, characterized in that, Based on the server, manage the filtered current tag data, the weight data and the real-time position information in real time to trace the transfer situation 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 position information through the current transmission link and a preset decryption method; Match and associate the weight data and the real-time position information with the corresponding medical waste transfer bucket through the identification tag of the medical transfer bucket, and arrange them in chronological order to obtain the transfer trajectory data corresponding to each medical waste transfer bucket at each time; wherein the transfer trajectory data includes: weight change data and position change data; Based on the weight change data and the position change data, determine the medical waste transformation node corresponding to the medical transfer bucket; Obtain the normal transfer standard data corresponding to each medical waste transformation node, and determine whether the medical waste transformation node is an abnormal node according to the normal transfer standard data; If so, give an alarm for the abnormal node, and send the identification tag of the medical transfer bucket corresponding to the abnormal node, the weight data and the real-time position information to the corresponding management terminal.

8. A tracing method for medical waste according to claim 1, characterized in that, After managing the filtered current tag data, the weight data and the real-time position information in real time based on the server to trace the transfer situation of medical waste in real time, the method further includes: Summarize the transfer data of medical waste based on a preset time interval, divide the transfer data in multiple dimensions, and determine the multi-dimensional change trend of the medical waste; Determine the high-efficiency transfer area and low-efficiency transfer area of the medical waste based on the multi-dimensional change trend; Obtain the transfer resources of the high-efficiency transfer area and the low-efficiency transfer area respectively, and allocate the transfer resources of the high-efficiency transfer area and the low-efficiency transfer area.

9. A traceability system for medical waste, characterized in that, The system includes: A writing unit that writes the full-process processing data of the medical transfer bucket where the medical waste is located into the identification tag of each medical transfer bucket; A positioning unit, configured to determine corresponding positioning strategies based on the status information of each transfer vehicle, so as to determine the real-time position information of each transfer vehicle according to the positioning strategies, and upload the real-time position information to a server; A determination unit, configured to determine whether the transfer vehicle enters a preset geographical fence range based on the real-time position information; A scanning and weighing unit, configured to, when entering the preset geographical fence range, scan the identification tags in each transfer vehicle according to a preset RFID scanning and integrating machine inside each transfer vehicle, obtain the current tag data in each transfer vehicle, and obtain the weight data of the medical waste in each transfer vehicle based on a preset weighing device; A data transmission unit, configured to screen the current tag data according to a preset host module outside each transfer vehicle, so as to upload the screened current tag data and the weight data to the server; A management unit, configured to manage the screened current tag data, the weight data and the real-time position information in real time based on the server, so as to trace the transfer situation of the medical waste in real time.

10. The traceability system for medical waste according to claim 9, characterized in that, The writing unit is a collection and processing host and an 8-channel RFID scanning and integrating machine; wherein, the RFID scanning and integrating machine has a corresponding RFID scanning antenna, the RFID scanning antenna adopts a floor-type flat antenna mode in the carriage, is laid and installed on the vehicle floor, and is encapsulated with epoxy resin and wear-resistant and corrosion-resistant paint, and the identification tag of the medical transfer bucket is installed at the bottom of the transfer bucket.

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