2025 results about "Drug Package" patented technology

The invention relates to the technical field of medical decision, and discloses a medical decision support system based on a knowledge graph, and the system comprises a knowledge graph construction module which constructs an initial knowledge graph based on a medical ontology library, and the knowledge graph comprises entities and association relationships of diseases, symptoms and drugs; the data acquisition module is used for acquiring data from an electronic medical record, wearable equipment, a medical literature library and a hospital information system and normalizing the data through a standardized protocol; the dynamic knowledge updating module is used for processing normalized data through an incremental graph neural network; a multi-source knowledge fusion module; a context awareness module; a dynamic deduction module; and a decision optimization closed loop module. And triggering a preset clinical rule in real time based on the pathological state of the patient, dynamically adjusting the intensity value of the related edge in the factor graph, and persistently storing the intensity value back to the knowledge graph, so that logic adaptation and individualized experience precipitation of general medical knowledge in a special pathological state are realized, and the individualized treatment accuracy is ensured.

The invention relates to the technical field of medical data processing and prediction, and discloses a chemotherapy adverse reaction prediction and intervention system based on big data. The system integrates an unstructured disease course text and structured inspection data of a patient, generates a time-series symptom event, and performs time window alignment and fusion on the time-series symptom event, a medication record and a physical sign monitoring stream to form a multi-dimensional time-series data block. The system is combined with an external medical knowledge base to construct a dynamic association network among symptoms, medicines and physiological indexes, and dynamically calculates the confidence coefficient of an adverse reaction mode according to real-time data. By using a predictive model of the timing attention mechanism, the system can output a continuous curve of patient risk over time. The system automatically matches and generates a personalized intervention instruction sequence containing specific measures and execution time windows according to key time points and modes when the risk curve exceeds a threshold value. According to the invention, dynamic and advanced early warning and accurate intervention of adverse reaction risks of chemotherapy are realized.

The invention discloses a medicine package online detection system based on three-dimensional reconstruction, and relates to the technical field of three-dimensional reconstruction, the system is matched with a binocular industrial camera through a numerical control rotary table to collect a double-view group covering the whole surface of a medicine package and containing an overlapping surface; carrying out feature point registration by adopting a polarization fusion SIFT algorithm, and positioning a packaging area through a model fusing packaging topology priori and edge gradient constraint; generating a disparity map based on a semi-global block matching algorithm, and combining camera calibration parameters with a rotary table rotation angle for splicing to obtain a complete packaging point cloud; a three-dimensional grid model is generated through Poisson curved surface reconstruction, accurate detection of surface concave-convex defects is achieved through curvature sudden change analysis and a tolerance threshold comparison method, and finally a defect information set is output and linked with a sorting mechanism to complete qualification judgment. The system can carry out full-surface and high-precision detection on medicine packages, is suitable for multi-specification packages, and meets the quality control requirements of industrial production.

The present invention relates to a planar transport system (128) for a plant (100) for processing pharmaceutical containers (102), comprising a frame (106) that can be erected on a mounting surface (104), the planar transport system comprising drive units (134) configured to interact electromagnetically with transport movers (130) for picking up the containers (102), and a support device (142) comprising or forming a housing (148) in which the drive units (134) are received, wherein the transport movers (130) are arranged outside the housing (148) for contactless movement relative to the housing (148) in a transport plane, wherein the support device (142) comprises at least one support area (150) for support on and, in particular, on the frame (106) and at least one cantilevered area (152).which adjoins at least one support area (150) and on which the housing (148) is positioned at a distance from the frame (106), forming a gap (158). The invention also relates to a system (100) for processing containers (102).

The invention provides a drug temperature and humidity digital monitoring and quality tracing system based on a full life cycle, and relates to the technical field of digital monitoring, and the system comprises the steps: firstly collecting the temperature and humidity data of the whole link of drug production, storage, transportation to terminal sales, and obtaining a standardized data set through the verification and packaging of an industrial standard library; performing secondary screening through primary screening in combination with a dynamic temperature and humidity screening model to obtain a precise abnormal data set; associating drug full-cycle multi-class information, and constructing a temperature and humidity-drug state mapping relation based on a time sequence association algorithm to form a full-dimension association data set; based on the data set, combining with a quality risk assessment model for early warning, realizing full-period traceability through a reverse traceability algorithm, and generating an assessment result and a traceability link; and finally, relevant data are converted into a dynamic temperature and humidity monitoring curve, a quality risk early warning report and a full-life-cycle tracing atlas, and an interactive report is assembled, so that the temperature and humidity state of the medicine can be checked conveniently.

The invention discloses a drug full life cycle risk monitoring and early warning method based on multi-source data fusion, and relates to the technical field of data analysis, and the method comprises the steps: constructing a time sequence heterogeneous graph, calculating the similarity between drugs and side effect pairs in the time sequence heterogeneous graph through a comparative learning algorithm, and generating a candidate signal list; constructing a data set, and identifying hybrid factors associated with drug selection and side effect risks in the data set by using a separation characterization learning algorithm to obtain an average causal effect value; a space-time risk thermodynamic diagram is drawn, risks in the whole life cycle of the medicine are graded based on risk distribution characteristics in the space-time risk thermodynamic diagram, and a corresponding early warning strategy is triggered; and converting the early warning strategy into a risk assessment report in a standard format by using a preset report template. By accurately calculating the individual and average causal effect value, the causal relationship between the drug and the side effect of the drug is quantified, and a solid foundation is laid for deep evaluation of drug safety.

A container system with a recordable device having a substantially unaltered packaging profile when compared to standard commercially available prescription containers. The container includes a bottle having a cylindrical body having a length greater than its width. A cap is provided with an inclined spiral or helical land and stops to permit it to be affixed to the container. The cap is equipped with a snap fit ring or a fitting on its underside. A recording device is configured with a land or snap ring removably engageable with the snap fit ring on the underside of the cap. The cap has an aperture to accommodate a recording switch on the recording device. The cap is provided with a speaker switch aperture to permit the user to activate the message on the recording device to hear about the contents of the bottle.

A medication dispensing system is provided with several cooperating components which help to accommodate the responsible handling of medications. These systems include a user interface to receive input from the user and to present appropriate information / notices / alarms. Further, physical controls and multiple sensors are provided to detect tampering, misuse, and attempts to inappropriately access medications contained within the dispensing system. This misuse can thus be detected, and appropriate notifications can be provided, where appropriate. Further, by adding network communications capabilities, notices can be widely communicated to others, and operation of the medication dispensing system can be controlled and / or monitored remotely.

The invention belongs to the technical field of medicine inventory management, and discloses a Western medicine intelligent inventory optimization and automatic replenishment decision-making method and a Western medicine intelligent inventory optimization and automatic replenishment decision-making system. Comprising the steps of collecting environment data, inventory information and historical inventory consumption data of inventory drugs, and integrating the environment data and the inventory information to obtain a health degree index of each drug; based on the drug health degree index and the consumption prediction result, generating a replenishment decision matrix, and outputting replenishment opportunity, replenishment amount and replenishment priority; in combination with an operation audit result and inventory area division, differential inventory management scheme configuration is realized; and after external information is obtained, a replenishment strategy is dynamically adjusted, and a target inventory optimization decision is formed. According to the method, accurate evaluation of the inventory state and intelligent decision of replenishment response are realized, and the safety, efficiency and refinement level of medicine inventory management are improved.

The invention relates to an intelligent integrated medicine dispensing method and system, and the method comprises the steps: obtaining the prescription information of a target patient, obtaining the image data and bar code data of a to-be-dispensed medicine, carrying out the combined matching verification based on an image recognition result and a bar code analysis result, and recognizing a target medicine matched with a prescription medicine; judging whether a potential drug risk exists in the current prescription or not by utilizing a knowledge graph reasoning mechanism, and generating a dosage adjustment suggestion when the risk is detected; based on medicine components contained in the prescription information of the target patient, performing medicine classification processing, judging whether the medicine components have a cross-sharing relationship with other temporarily stored prescription medicines, and if the cross-sharing relationship exists, constructing a list of medicines to be dispensed; and for the compound medicine components contained in the list to be dispensed, completing dose disassembly and recombination processing among the compound components according to a preset proportioning logic to generate a compound dispensing result. The method has the effect of improving the automation precision of compound dispensing.

The present invention relates to a device for processing pharmaceutical containers (102) which are received in a common carrier (108), in particular in a nest (110), comprising a transport device (114) which defines a transport direction (116), wherein the carriers (108) can be transported successively along a transport path on the transport device (114) along the transport direction (116), and a weighing station (138) for weighing, in particular simultaneously, a plurality of containers (102), wherein at least a portion of the carriers (108) is assigned a respective gripping device (130), wherein a predefined number of containers (102) can be removed from the carrier (108) via a receiving device (164, 166) and transferred to a gripping tool (132) of the gripping device (130), on which the containers (102) can be held, wherein the gripping tool (132) on the transport device (114) along the transport path is movablewherein the weighing station (138) is movably designed and can be moved from a storage position, in which the transport path for passing the weighing station (138) is clear for the carriers (108) and the gripping device (130), to a weighing position and vice versa, wherein the weighing station (138) is arranged on the transport path in the weighing position, and wherein the containers (102) removed from the carrier (108) and arranged in the gripping tool (132) can be positioned on weighing elements (146) of the weighing station (138) for weighing in the empty and / or filled state when the weighing station (138) assumes the weighing position. The invention also relates to a method for processing pharmaceutical containers (102).

The invention relates to the technical field of medicine management, and discloses a medicine informatization whole-process management system based on big data analysis. According to the system, a drug full-life-cycle multi-dimensional data stream is captured through a distributed sensing node network, and a drug state tensor is generated after noise filtering and missing value compensation are carried out through a real-time stream processing engine. The risk identification module scans and locates an abnormal data cluster through a multi-scale mode and constructs a drug quality hypersurface model; and the data aggregation module establishes a mapping relation between a state tensor and a quality model by using a space-time diagram attention network and calculates a global consistency metric value. The intelligent decision-making module generates an optimal drug management action sequence based on the measurement value under multiple constraint conditions, the closed-loop control module executes the action sequence and monitors system state deviation in real time, data acquisition parameters are dynamically calibrated, and autonomous optimization and closed-loop management of the whole process of drugs are achieved.

The invention relates to the technical field of drug safety evaluation, in particular to a multi-center combined evaluation method and system for drug safety based on a graph neural network and federated learning. Known and unknown drug interaction is systematically predicted based on a drug multi-relation knowledge graph and a graph neural network, a key path of DDI is identified through a graph attention mechanism, a molecular mechanism of the interaction is revealed, and natural language interpretation is generated. And meanwhile, through privacy protection and multi-center cooperation, a federal learning architecture is utilized to break data islands and improve the external effectiveness of an evaluation conclusion on the premise of protecting patient privacy and meeting data compliance requirements. The heterogeneity of data of different mechanisms is effectively evaluated through distribution deviation detection, deviation caused by blind extrapolation is avoided, a real-world evidence methodology report and a data traceability auditing clue are automatically generated, the requirement of a supervision mechanism for real-world evidence quality is met, medicine supervision decision is supported, and medicine research, development and review are accelerated.

The invention provides a three-dimensional science popularization animation generation method and system based on an AIGC technology, and relates to the technical field of animation generation. The method comprises the following steps: firstly, fusing structured knowledge such as an anatomy term library, a diagnosis and treatment process guide and a drug specification with electronic medical records and CT / MRI volume data, and generating a split script and a medical term list through a large language model; then reconstructing an organ or focus grid by using a script-image combined driven text-three-dimensional diffusion model, and executing anatomical consistency correction according to the medical knowledge graph; automatically arranging a time axis, a camera track and a skeleton action, and synchronously synthesizing multilingual parastyle subtitles; and finally, frame-level rendering and compression packaging are completed in a real-time rendering engine, and efficient, professional and iterable medical animation generation is realized by means of an expert feedback closed-loop fine tuning model.

The invention discloses a pathogen transmission rapid early warning and traceability analysis method based on multi-source data fusion. The method comprises the steps of S1, collecting multi-source data such as drug sales, network behaviors, social media, outpatient diagnosis and traffic time and space; s2, through cleaning and standardized preprocessing, social text disease features are extracted by adopting BERT; s3, mining a comprehensive weak signal through single-source anomaly detection and multi-source correlation analysis; s4, fusing the features by using an Attention-LSTM model, and outputting a regional risk index; s5, training an early warning model based on historical data, and setting a three-level threshold to trigger early warning; and S6, positioning a propagation starting point in combination with the spatio-temporal data, and constructing a propagation chain through a graph neural network. The early warning is advanced by 3-7 days, the traceability precision reaches the community level, and the prevention and control precision is improved.

Provided is a medicine feeding apparatus including a receiving member including a plurality of receiving parts in which medicine can be received, and an apparatus main body that feeds the medicine received in the plurality of receiving parts to a target device. The plurality of receiving parts are open upward and configured to allow an operator to manually place the medicine from above thereinto. The receiving member includes a plurality of position indicators that indicate which of the plurality of receiving parts the medicine should be placed thereinto. The receiving member is configured to be attachable to and detachable from the apparatus main body.

The invention relates to the technical field of block chains, in particular to a drug cross-region transfer tracing and multi-subject data sharing system based on a block chain. According to the temperature data distribution of each monitoring point at different moments, the temperature sudden change factor of each monitoring point at each moment is obtained; according to the temperature data distribution of different monitoring points at different moments and the temperature sudden change factors, in combination with the position distribution of different monitoring points, obtaining the chemical impact degree of transportation at each moment; according to the change trend of the vibration data at different moments and the vehicle speed data, the physical impact degree of transportation at each moment is obtained; according to the transportation chemical impact degree and the transportation physical impact degree at each moment, obtaining the transportation environment abnormity at each moment; and writing the data into the block chain in real time, and carrying out transfer tracing and multi-subject data sharing on the medicines. According to the method, the transportation environment abnormity at each moment is accurately obtained, so that the accuracy of block chain tracing and data sharing is improved.

The invention provides a drug inventory dynamic monitoring method and system based on edge calculation. The drug inventory dynamic monitoring method comprises the steps that drug parameters and environment data of all intelligent drug cabinets and warehouse areas and biological characteristics of operators are collected; determining a behavior log of the operator according to the operation action and the medicine change data, and generating a digital signature of the operator through the biological characteristics; constructing lightweight block chain nodes of the intelligent medicine cabinets and the warehouse areas, and packaging and chaining behavior logs and digital signatures through inter-node consensus of all the block chain nodes to generate an operation voucher; according to the average compliance rate and the operation voucher, carrying out trust evaluation on the compliance condition during operation to obtain a trust score; and comparing the trust score with a trust threshold, and if the trust score is lower than the trust threshold, locking the high-risk drug operation authority of the operator. By adopting the scheme of the invention, real-time credible evidence storage and dynamic evaluation can be carried out through behaviors of an operator, so that timely interception and early warning of high-risk medicine operation are realized.

The invention relates to a medical bill intelligent processing method, system and device and a medium. The method comprises the following steps: performing type identification and text structuring processing on a medical bill image through an image classification model and an OCR technology to obtain a preliminary identification result; key entities such as diseases, drugs and inspection items are extracted through a medical field named entity recognition model, entity standardization is achieved through a standard medical term library, cross-bill information of the same patient is associated, and a medical entity set is generated; constructing a doctor seeing event knowledge graph in combination with preset medical rules, wherein nodes of the doctor seeing event knowledge graph comprise standardized term attributes, and timestamp weights are embedded into relation edges; and finally, based on a timestamp weight and a graph traversal algorithm, detecting three types of core conflicts including drug taboo, diagnosis and treatment contradictions and time sequence anomalies, calculating risk levels in combination with influence factors, outputting a structured conflict report, and realizing deep semantic association and cross-document logic conflict detection of the multi-source medical bills. And the intelligent level and the risk identification capability of medical bill processing are improved.

The invention relates to the technical field of data integrity verification, in particular to a drug compliance detection method and system for drug supervision, and the method comprises the following steps: extracting a process change data field, eliminating a deviation value and setting a reference, marking and classifying a current batch difference field, recognizing a deviation expansion item, constructing a field mapping path and recognizing an interruption point. And judging whether the interrupt field is missing or not, and generating various result lists. According to the method, through medicine process parameter extraction and abnormal value elimination, a stable reference standard is constructed, representativeness of a comparison standard is guaranteed, classification is performed based on field differences, parameter offset is identified, difference identification precision is improved, continuous offset fields are judged in combination with trend changes, risk early warning timeliness is enhanced, and data inheritance continuity is expressed; according to the method, breakpoint fields are filled and verified, missing information is accurately captured, a closed-loop process of offset identification, trend research and judgment, path tracing and missing verification is integrally formed, and the integrity and sensitivity of data compliance inspection are improved.

The invention provides a medicine outer package label information intelligent checking method, system and device and a medium, and belongs to the technical field of information. The method comprises the following steps: collecting an original image of a medicine outer package through a handheld PDA terminal; performing label area positioning and geometric correction on the original image to obtain a regular label picture; inputting the regular label picture into a character recognition model, and outputting label text information; processing the label text information based on a large language model, and extracting key field information; verifying the key field information of each batch of medicines to generate standard label field information, constructing a template library containing the standard label field information of each batch of medicines, and binding and storing the standard label field information and the unique index code; and reading to-be-checked drug outer package label information, obtaining to-be-checked index codes and key fields in the to-be-checked drug outer package label information, calling corresponding standard label field information in the template library, comparing the standard label field information with the to-be-checked key fields, and outputting a comparison result.

The embodiment of the invention provides a medicine evaluation method and related equipment, and belongs to the technical field of information processing. The method comprises the following steps: acquiring medicine input information corresponding to a first medicine; the first medicine is any medicine, and the medicine input information comprises medicine type data; generating a corresponding medicine evaluation template according to medicine type data in the medicine input information; collecting expert evaluation information corresponding to the first drug through the drug evaluation template; the expert evaluation information comprises text data and score data; and performing text analysis on the text data corresponding to the first drug through the drug evaluation model to generate a model evaluation score, and integrating the model evaluation score and the score data to obtain a target evaluation result corresponding to the first drug. According to the embodiment of the invention, the consistency and objectivity of the drug evaluation result can be remarkably improved, so that more comprehensive and intelligent decision support is provided for drug selection of medical institutions.

The invention discloses a medicine production data table processing method based on document analysis and HTML rendering, and relates to the technical field of document data processing. The medicine production data table processing method based on document analysis and HTML rendering comprises the steps that S1, table recognition data, position mapping data and expressive data are collected and preprocessed, and a standardized table state data set is constructed; s2, analyzing semantic association closeness between the nested table and the affiliated paragraph, and adjusting an affiliation marking strategy of the table; s3, evaluating the structuring degree of the cells, and reconstructing the logical hierarchical relationship of the table structure; s4, evaluating the information importance of the cells, and adjusting the layout priority of the cells; and S5, generating a structured record and connecting the structured record to a business process of a manufacturing execution platform. The problem that a document structure and a business field are lack of binding, and construction of a unified data main line and a business driving process is seriously hindered is solved.

A molded container is configured for containing a medical and / or pharmaceutical preparation and for vertical stacking during transport and / or storage. The container has a bottom portion at one end of a trunk section and a shoulder portion at an opposite end of the trunk section. The shoulder portion includes a container neck that can be closed by a cap. A hollow is recessed in a bottom surface of the bottom portion. The hollow is form-fitted or configured to contactlessly accommodate a container neck of another container. The bottom surface outside the hollow is molded as a relief-like bottom contour surface with at least one axially recessed bottom recess molded segment and with bottom load contact molded segments adjacent to the bottom recess molded segment and axially protruding from it, so that the at least one bottom recess molded segment is exempted from a base area of the molded container.

The invention discloses a medical drug knowledge RAG optimization method based on a Trie tree, and relates to the field of artificial intelligence and medical drug information processing. The method comprises the following steps: constructing a dual Trie tree knowledge base in the field of medical drugs (a term Trie tree: storing drug / disease / medication attribute terms and ATC / ICD-11 codes; the content Trie tree is used for storing medicine specification hierarchical content and efficacy weight), carrying out preprocessing segmentation on a medical medicine ultra-long text and associating Trie node attributes, and adopting multi-stage retrieval of Trie prefix matching and BioBERT semantic retrieval to recall knowledge blocks; the context (father node-chapter overview, child node-refining rule and brother node-security association information) is expanded based on the hierarchical relationship of the nodes of the Trie tree, finally a response with accurate reference (drug name + ATC code + specification chapter) is generated, and drug conflict is avoided through consistency check. The medical drug knowledge retrieval accuracy and response safety are improved, and the method is suitable for scenes such as intelligent medication consultation and clinical medication aid decision making.

The invention discloses a medical insurance intelligent auditing method and system based on a multi-modal large model, and relates to the technical field of big data processing, and the method comprises the steps: recognizing a material name and a personal name, and auditing the compliance of a material needed for business handling according to the integrity and correctness of the material; identifying first expense detail data according to the expense detail list material and the expense identification cue word; matching the first expense detail data with a medical insurance catalog vector database to obtain a closest catalog entity, and combining the closest catalog entity with the first expense detail data to form second expense detail data; obtaining medicine knowledge from the medicine specification, matching the medicine knowledge with the medical insurance directory vector database, and associating the directory code of the optimal directory entity into the corresponding medicine knowledge; and for each record of the second expense detail data, performing expense rationality auditing according to the corresponding intelligent auditing rule and medicine knowledge. Content acquisition, medical project matching and intelligent auditing of the electronic material are realized, and the auditing speed and accuracy are improved.

The invention relates to the technical field of digital medical treatment and drug evaluation, in particular to an individualized drug curative effect and safety evaluation method and system based on digital twinborn and causal reinforcement learning. Individualized anti-fact prediction is realized through a patient digital twinning model, and potential curative effects and adverse event risks of different medication schemes can be evaluated on a single patient level. Meanwhile, an off-strategy causal reinforcement learning and dual-robust estimation method is adopted, the individualized value of a long-term sequential medication strategy is evaluated from observed real world data, and the preciseness of causal inference is improved; in addition, a curative effect-safety joint value function is constructed, curative effect benefits, safety risks and compliance cost are uniformly incorporated into the same decision framework, and multi-objective joint optimization is achieved; finally, an interpretability analysis report containing key features, value comparison and risk analysis is provided, the understanding and trust of clinicians on recommendation results are enhanced, and application and popularization in clinical practice are facilitated.

The invention relates to the technical field of medicine detection, in particular to a tablet coating compressive strength measuring method and system, the tablet coating compressive strength measuring system comprises a base and a rotary table rotationally connected to the base, a plurality of groups of circumferentially distributed detection holes are formed in the upper surface of the rotary table, and the detection holes are vertically arranged in a penetrating mode; a detection column is slidably connected in the detection hole, and a blanking module, a pre-test module, a fine detection module and a discharging module are sequentially arranged above the rotary table in the rotating direction of the rotary table; through the two-step structure of the weight pre-test module and the fine detection module, tablets with obviously unqualified coating strength can be quickly screened out, only qualified tablets are subjected to fine detection, invalid operation of the fine detection module is effectively reduced, the overall detection efficiency is improved, meanwhile, loss of precision components is reduced, the service life of equipment is prolonged, and the maintenance cost is reduced.

The utility model provides an intelligent medicine three-dimensional storage cabinet system which comprises a three-dimensional cabinet, and a plurality of medicine storage grids are distributed on the three-dimensional cabinet along the circumferential wall face of the three-dimensional cabinet. The three-dimensional cabinet is mounted on the movement mechanism and is driven by the movement mechanism to rotate; the access module is arranged relative to the three-dimensional cabinet and is matched with the three-dimensional cabinet to transfer the medicine storage bins of the medicine storage grids on the three-dimensional cabinet to the operation table and reset and store the medicine storage bins; the medicine storage grids are distributed on the annular surface of the cabinet body, the storage volume is large, the space is effectively utilized, the occupied area of the cabinet body is small on the premise of equal quantity of medicine, and automatic medicine storage and taking are efficiently and intelligently achieved in cooperation with the movement mechanism and the storage and taking module. The constant-temperature and constant-humidity closed storage, automatic control of the storing and taking process and comprehensive management of the medicine storage condition are achieved in cooperation with an electric control system, and the technical problems that in the prior art, the medicine storage space utilization rate is low, medicine depends on manual storing and taking, the workload is large, inconvenience is caused, and efficiency is low are solved.

The invention relates to the field of boxed medicine packaging lines, in particular to an automatic boxed medicine packaging line which comprises a conveying unit, a feeding unit is installed on one side of the conveying unit, a packaging box discharging mechanism is arranged at the upper end of the conveying unit, and a continuous conveying mechanism used for conveying packaging boxes is installed on the side face of the conveying unit. And a filling mechanism for filling the tablets into the packaging boxes is arranged at the lower end of the continuous conveying mechanism. According to the full-automatic packaging machine, grabbing, space transferring and posture keeping of packaging boxes are synchronously achieved through a driving motor, a planetary gear and belt transmission combination, the mechanical box opening action is integrated in the transferring path, the box opening procedure is seamlessly embedded into the continuous conveying process, the production takt is greatly shortened, and the overall packaging speed is increased.