229results about How to "Guaranteed timeliness" patented technology

The invention discloses a WebSocket-based instant message task assigning system. The system comprises two parts, i.e., a server and clients, wherein the server is deployed on an application server and configured with ports for providing external services, and the server is then started; the clients comprises an APP client and a PC client; and information data transmission among the server, the APP client and the PC client is achieved based on the WebSocket protocol, that is, the server provides the instant messaging service, and the clients achieve acquisition of data from the server. Compared with the prior art, the system provided by the invention has the advantages that WebSocket-based instant message task assigning is achieved, and information can be synchronized between the information acquisition clients, so that high timeliness, effectiveness and safety of the information are ensured.

The invention discloses a point cloud intelligent cutting and dynamic optimization method based on edge computing, and belongs to the technical field of intelligent traffic systems and edge computing, and the method comprises the steps: collecting three-dimensional point cloud data through a multi-line laser radar disposed on an RSU; generating a three-dimensional bounding box through a three-dimensional target detection network in an RSU edge calculation unit, generating an ROI mask, expanding a buffer region, and performing adaptive region cutting on the point cloud to form an ROI point set and a background point set; a perception-driven cutting decision is realized, and ROI extraction is converted into a self-learning process based on semantic features from fixed threshold judgment; voxelizing the non-uniform resolution point cloud, generating a unique hash index for each voxel unit, comparing a hash set of a current frame with a hash set of a previous frame, extracting newly added and disappeared point sets, and constructing a differential data packet according to a change ratio; while high timeliness is kept, data redundancy is reduced, and the point cloud updating rate and the incremental transmission efficiency are improved; and dynamic optimization of communication-calculation cooperation is realized.

The invention relates to the technical field of ship safety, and discloses a ship safety management monitoring system based on the Internet and a Beidou satellite, the system comprises a coordinate analysis module, a ship state module, a data fusion module, an abnormity identification module and an early warning message sending module, a satellite positioning signal is analyzed, and real-time latitude and longitude coordinates of a ship are obtained; generating comprehensive operation parameters of the ship according to the attitude, the navigational speed, the load and the main engine operation parameters of the ship; performing data fusion on the longitude and latitude coordinates after timestamp alignment and the comprehensive operation parameters to obtain an operation feature vector of the ship; performing abnormal mode identification on the operation feature vector based on historical navigation data and a preset safety threshold to obtain a risk category of the ship; when a risk category occurs, generating a treatment measure message of the risk category, and sending the treatment measure message to a ship-end display terminal and a shore-based management terminal through communication between the Internet and a Beidou short message; the ship safety management efficiency can be improved.

The invention relates to the technical field of substation inspection robots, and discloses an autonomous inspection method and system for a substation inspection robot. The method comprises the following steps: acquiring current environment parameters of a transformer substation and real-time state information of an inspection robot, and constructing an inspection environment model; analyzing historical inspection records, classifying historical inspection strategies into a plurality of experience levels, and establishing a multi-layer experience pool; according to a preset target inspection state in the inspection environment model, calculating an intelligent inspection strategy required for achieving the target inspection state; the intelligent inspection strategy and the experience inspection strategy are corrected in real time by adopting a dual-channel coordination mechanism to respond to the dynamic change of the transformer substation environment, and a final inspection strategy is generated; executing a control instruction based on the final inspection strategy, completing an inspection task and recording an actual inspection state; and comparing the deviation reason between the actual inspection state and the target inspection state, adjusting the experience content in the multilayer experience pool according to the deviation reason, and optimizing the experience data.

The invention discloses a multi-source heterogeneous data dynamic causal blood relationship tracing method and a related device, and belongs to the technical field of data blood relationship detection.The method comprises the steps that static blood relationship metadata and dynamic index time sequence data of aviation test data are collected, a dynamic causal blood relationship map is constructed, each edge of the map is associated with a causal strength weight, and the dynamic causal blood relationship is obtained; and reverse traceability is carried out through the dynamic causal blood relationship map, and root cause nodes causing abnormity are determined. Static consanguinity and dynamic indexes are collected, a dynamic causal consanguinity map with nodes as triads and edges carrying causal strength weights is constructed, and dynamic attributes of the map break through static relevance limitation, so that traceability can reveal state change and causal dynamics; the influence degree between nodes is quantized by introducing a causal strength weight, and the root cause is determined by combining a probabilistic reasoning model, so that the spanning from fuzzy association to quantitative positioning is realized, and the problems that the root cause positioning is fuzzy and is lack of quantitative analysis are solved.

The present application relates to the technical field of robot control, and especially relates to a multi-robot optical processing safety control system and method based on machine vision. The method covers the global vision of multi-robot collaborative processing through multiple vision sensors, and tracks multiple feature targets in the workspace in parallel. The high-reflective marker points on the robots in the image are located at the sub-pixel level. After the pixel boundary box is used to determine and issue a primary early warning event or a collision warning event, the pose solution frequency of the involved robot is dynamically adjusted, and the three-dimensional space pose data of the robot is solved. Whether to execute motion intervention or emergency stop is determined according to the three-dimensional space shortest Euclidean distance and the predicted collision time between the involved robots. The present application uses a low-complexity two-dimensional multi-target tracking method for global continuous monitoring, and performs high-precision pose solution and collision detection in stages, so as to realize dynamic optimization allocation of computing resources, avoid monitoring false negatives, and effectively reduce system running load.

The application discloses a tunnel or mine gushing water space-time prediction method and system coupled with a water power numerical model, and the method comprises the following steps: based on the identified and verified underground water numerical model, outputting multi-source data, complementing the missing measured data, quantifying the difference between fault and normal stratum permeability characteristics and coupling to the data system, and incorporating the tunnel or mine excavation space data. An LSTM-isolation forest-K nearest neighbor regression coupled model is constructed, and a multifunctional module is configured to realize common training of multi-scene data. The pretreated multivariate time series data is divided into a training set and a test set, hidden features are extracted through the coupled model, abnormal detection results are fused, a residual correction model is trained synchronously, and the hyperparameters and weights are adaptively optimized according to the multi-project prediction error feedback. Based on the trained coupled model, a window rolling strategy is adopted to carry out synchronous gushing water space-time prediction, residual correction is combined, and prediction data meeting the engineering precision is output. Reliable technical support is provided for engineering construction safety control.

The present application relates to the technical field of power distribution control, and particularly relates to a power intelligent dynamic distribution method for a skid steer loader based on multi-working condition identification. The method comprises the following steps: performing skid steer loader multi-modal operation characteristic analysis on power states of skid steer loader multi-source operation data to generate skid steer loader multi-modal operation characteristic data; performing skid steer loader working condition characteristic analysis on the skid steer loader multi-modal operation characteristic data to generate skid steer loader working condition characteristic data; performing power demand characteristic analysis on working condition dynamic change trends based on skid steer loader real-time operation data and the skid steer loader working condition characteristic data to generate working condition dynamic change trend power demand characteristic data; and performing skid steer loader power distribution and dynamic optimization processing based on the working condition dynamic change trend power demand characteristic data to generate skid steer loader power distribution dynamic optimization data. The present application realizes efficient and energy-saving intelligent distribution of power under multi-working conditions of a skid steer loader.

The application discloses a kind of belt deviation detection method, device and electronic equipment.The application is applied to belt conveyor, belt conveyor includes belt to be detected, belt to be detected is used to move according to preset direction, to transport coal mine material.By responding to deviation detection instruction, when detecting that the three-dimensional point cloud data to be processed corresponding to belt to be detected is in preset area, to the three-dimensional point cloud data to be processed projection processing, determine two-dimensional point cloud data to be detected;Based on two-dimensional point cloud data to be detected, reference two-dimensional point cloud data corresponding to belt to be detected and preset distance threshold, determine offset point cloud data;To offset point cloud data sequentially carries out principal component analysis and projection processing, to determine the extreme value information corresponding to offset point cloud data;According to extreme value information, determine the belt deviation information of belt to be detected.The application improves the efficiency of belt deviation detection, improves the accuracy of belt deviation information determined.

The invention relates to the technical field of Internet of Things communication, discloses an Internet of Things multi-Android client state synchronization method, and solves the problems of poor state consistency, high back-end dependence, large delay and insufficient compatibility in the prior art. According to the scheme, the method comprises the steps that after a client completes initialization, MQTT connection with a rear end is established, an MQTT state message pushed by the rear end is monitored, after the message is received, equipment state information is obtained through analysis, local state cache and a UI interface are updated, meanwhile, the client serves as a distribution node, a UDP synchronization message containing the equipment state and the IP of the distribution node is established, and the UDP synchronization message is sent to the client. The UDP synchronization message is broadcasted to the local area network, other clients in the local area network receive the UDP synchronization message and then verify whether the distribution node IP is the client in the local area network, if the verification is passed, the message is analyzed, the state updating timestamp and the local cache timestamp are compared, and the local state cache and the UI interface are updated only when the state updating timestamp is larger.

This invention belongs to the field of industrial monitoring electrical technology and discloses a four-in-one intelligent multi-parameter early warning sensor for industrial monitoring. It includes a four-in-one parameter acquisition unit, a raw feature preprocessing module, a progressive coupling calculation module, an early warning decision module, a non-dedicated data transmission conversion module, and an embedded main control core. All modules are electrically connected and work collaboratively. The progressive coupling calculation module performs temperature drift correction calculation, progressive interference weight calculation, and early warning confidence calculation. The embedded main control core schedules the timing of all modules. This invention solves the problems of existing multi-parameter monitoring technologies lacking progressive coupling processing and interference affecting monitoring accuracy, achieving multi-parameter collaborative early warning and ensuring the stability and reliability of industrial monitoring.

The invention relates to the field of material surface treatment and machining, in particular to a method and device for directly preparing a copper alloy coating on the surface of a titanium alloy sealing rod. The process comprises the steps that firstly, cleaning and metal powder drying treatment are conducted on a sealing rod base material, and the base material is clamped on a rotary bearing mechanism in an adjusting box body; sealing the adjusting box body and filling inert gas to replace air until the oxygen content reaches the standard; the laser cladding mechanism is controlled to conduct scanning preheating on the surface of the base material in a non-powder-feeding state; then a powder feeding function is started, spiral high-speed laser cladding is carried out in cooperation with rotation of the base material and axial feeding of the cladding assembly, and closed-loop adjustment of the protective gas flow is carried out in the cladding process; and after cladding is completed, the base material is transferred into the heating furnace body in the box body to be subjected to post-treatment slow cooling, laser scanning preheating and in-furnace slow cooling are combined, atmosphere closed-loop control in a closed environment is matched, and the effect of restraining cracking and oxidation of a titanium alloy cladding layer is achieved.

This disclosure provides a data processing method, system, electronic device, and medium for model inference scenarios. The data processing method includes: writing target data to be transmitted in the model inference scenario into at least one write area in a preset buffer using a data stream; obtaining different sensitive data and sensitive data pointer information in the write area based on sensitive data identifier information in the data stream, and generating structure information to obtain an initial sensitive data linked list; encrypting different sensitive data in the write area using a first preset data processing algorithm and the initial sensitive data linked list to generate a target sensitive data linked list, and transmitting it to the device in the model inference scenario. This disclosure can ensure the security and integrity of sensitive data transmission from the host to the device, effectively avoid the leakage of sensitive information, and ensure the security and reliability of the entire data transmission process.

The warehouse alarm method and device, the electronic equipment and the computer readable storage medium provided by the application meet the same category recognition result of continuous multiple frames of pictures, and the difference between the time stamps corresponding to the adjacent two frames of pictures of the continuous multiple frames of pictures is less than the first threshold value, so that the recognition result of the continuous multiple frames of pictures is determined as a valid recognition result, the timeliness and accuracy of the recognition result are ensured, and then it is judged whether the staff wears a safety helmet based on the valid recognition result. Meanwhile, the state recognition of the warehouse operation equipment is improved, the misrecognition problem caused by the shaking of the recognition box is effectively avoided, and the false alarm rate is greatly reduced.

The invention belongs to the field of water pollution monitoring, and particularly relates to an online measurement method for petroleum in water, which comprises the following steps: step 1, water sampling: a trigger unit transmits the detected fluorescence intensity of the water surface to a control unit, and the control unit controls the water sampling frequency of a sampling pump in the water sampling unit according to the fluorescence intensity detected by the trigger unit; step 2, extraction: sending the water sample extracted by the sampling pump into a sample storage container, and extracting oil substances into an extraction reagent; step 3, separation: conveying into a separation container through a conveying pump; and 4, measuring, namely feeding the extraction reagent into a cuvette of a measuring unit for measuring the content of the oil substances. According to the design, a method of combining water surface early warning measurement and underwater quantitative measurement is adopted, pollution occurrence can be judged in time, and the content of underwater oil substances can be measured online, so that pollution sources can be conveniently fed back and controlled in time, and the timeliness of online water environment monitoring is guaranteed.

The application provides a PCB integrated identification processing equipment. The PCB integrated identification processing equipment comprises a conveying line, a feeding module, a golden finger protection module, a laser module, a labeling module, a discharging module, and various processing modules arranged in sequence along the conveying line; the conveying line is used for conveying PCBs to various modules of the equipment for processing; the feeding module is used for storing and supplying materials of a previous station or stacking; the golden finger protection module is used for protecting the golden fingers of the PCBs; the laser module is used for laser-engraving a two-dimensional code on the PCB; the labeling module is used for attaching labels to the PCBs; and the discharging module is used for taking down and storing the processed PCBs. The various identification processing technologies are integrated into one, the equipment size is reduced, the distance between various process links is shortened, the continuity, completeness and production efficiency of the processing process are improved, production information can be immediately integrated and uploaded, the timeliness of production information is ensured, and quality traceability is achieved.

The invention discloses a signal calibration method and system for semiconductor testing equipment, and relates to the technical field of semiconductor testing, and the method comprises the steps: selecting a calibration port, controlling a relay matrix to enable a source measurement channel, a time measurement channel and an electrical sensor to be connected to a same Kelvin terminal, and carrying out the calibration of a calibration signal; transmitting a calibration pulse train, extracting a sending segment, an arrival segment and a backflow segment, and obtaining a port mirror image routing table and a baseline segment table; controlling the calibration pulse train to execute commutation sending and polarity flipping along a path corresponding to the port mirror image routing table, and comparing an arrival fragment, a backflow fragment and a front and back edge sequence to obtain a commutation difference table and a polarity setting code table; and the calibration pulse train is controlled to enter the measured branch and the reference straight-through branch respectively, and single-stage trimming is carried out on the comparison judgment chain and the delay unit chain. According to the invention, the measured branch and the reference straight-through branch are compared in parallel, and the comparison judgment chain and the delay unit chain are trimmed step by step, so that the measurement resolution of the time parameter is remarkably improved.

The invention discloses an integrated bulk machine. The bulk machine comprises a machine body supporting seat, a PLC controller, a silo, a dust collecting system, a lifting system and a telescopic barrel, wherein the silo is arranged on the machine body supporting seat in a penetrated mode and is fixedly connected by a fastener; the dust collecting system comprises a dust collecting fan, a dust collecting pipeline and a dust collecting filter barrel; the silo comprises a feeding port, a collecting bin, a discharging port and a curved valve; and the discharging port is fixedly connected with the telescopic barrel, the lifting system matches the telescopic barrel, and the PLC controller is respectively connected with the dust collecting fan, and the curved valve and the lifting system in a communicated mode. The integrated bulk machine has the advantages that each component cooperates with each other, and the machine is reasonable in design; by means of the machine body supporting seat,the whole device system is stabilized; by means of the dust collecting system, the dust pollution caused by transferring the powder can be eliminated; and by means of the lifting system, the change ofthe length of the telescopic barrel can be achieved, so that the whole device is capable of meeting the requirements of a silo of a vehicle body with different heights, the whole device is easy to operate and convenient to transfer, and the bulk machine has wide adaptability and high stability.

The invention relates to the technical field of sugarcane spica monitoring, and discloses a sugarcane spica flowering intelligent monitoring system, which is characterized in that a hyperspectral image and an infrared image are acquired, the hyperspectral image and the infrared image are acquired and registered into a multi-source image data set, and a spica area binary mask image is segmented; extracting morphological structure characteristics, spectral reflection characteristics and thermal radiation characteristics, calculating a visibility index KJ, a wave band reflectivity BS and a radiation temperature value FP based on the extracted characteristics, calculating a determination value P, and comparing the determination value P with a hybridization threshold ZY; according to the method, the hyperspectral image and the infrared image of the sugarcane spica are collected, the hyperspectral image obtains the fine spectral reflection characteristics of the sugarcane spica so as to analyze the physiological state of the sugarcane spica, and the infrared image is used for assisting in obtaining the overall shape, contour and thermal radiation information of the spica, and especially, the image characteristics are enhanced in a weak light environment; therefore, the sugarcane spica area can be accurately identified, and the effective distinguishing between the spica and the background can be realized.

The invention is applicable to the technical field of unmanned aerial vehicle scheduling, and particularly relates to a regional route collaborative scheduling method and system for logistics unmanned aerial vehicles. Judging whether flight interference exists based on a preset minimum interference distance, acquiring flight information of the unmanned aerial vehicle participating in the flight interference, and sending the flight information to the corresponding unmanned aerial vehicle; yaw information calculation is carried out through the unmanned aerial vehicles according to the flight information and a built-in force field simulation obstacle avoidance model, and the unmanned aerial vehicles are controlled to fly based on the yaw information; and when the distance between the unmanned aerial vehicles is greater than the minimum interference distance, outputting return flight information based on the force field simulation obstacle avoidance model, and controlling the unmanned aerial vehicles to return to the flight route. According to the regional route co-scheduling method for the logistics unmanned aerial vehicles, each unmanned aerial vehicle is regarded as an agent which autonomously moves in a three-dimensional force field, complex global path planning and real-time obstacle avoidance are decoupled, and the dimensionality and complexity of distributed calculation are greatly reduced.

The present application relates to a kind of spatial position collation method based on standard geographic database, belong to geographic information processing and data collation technical field.The present application proposes the full-process automated collation method based on standard database, using forward maximum matching word segmentation method to process the administrative address text of field sampling record and sequentially matched administrative name according to administrative level, can automatically correct non-standard address in processing process, subsequently with standard administrative code as index to determine corresponding boundary area from administrative boundary map, the latitude and longitude coordinate of field sampling record is verified by administrative boundary, when administrative boundary verification fails, latitude and longitude coordinate can be automatically corrected, to meet the efficient, accurate collation needs of field sampling data of scientific research.

The invention relates to a method and system for relieving large model illusion, and belongs to the technical field of computers. The method comprises the following steps: identifying and analyzing the intention of a question input by a user through a first-level agent, and judging whether an answer is obtained by calling a local knowledge base, a search engine or the capability of a large model; if a search engine is called, pulling the question through a first-level agent, and inputting the content of each webpage, website information, the question input by the user and a prompt cue word into a large model to obtain an answer, wherein the previous set number of webpages are related to the content inquired by the search engine; if a local knowledge base is called, analyzing the question through a secondary agent and generating a query instruction corresponding to the question, performing interactive query with professional databases of industries to which at least two questions with different query modes belong through the query instruction to obtain a query result, and inputting the question input by a user, a prompt prompt word and the query result into a large model to obtain an answer; if the capacity of the large model is called, an answer is obtained through the large model according to the question.

The invention discloses an online monitoring alarm network system based on a lightning protection environment, and relates to the technical field of lightning protection monitoring, and the system comprises a data collection module which is disposed at an offshore wind power plant and is used for collecting multi-dimensional data including salt mist concentration, wind speed, lightning parameters and lightning protection equipment state parameters; the data processing module is in communication connection with the data acquisition module and is used for receiving, fusing and analyzing the multi-dimensional data, performing scoring calculation by constructing a quantitative scoring model and endowing each dimensional parameter with a weight, and outputting a quantitative risk level according to a total score interval judgment mode; the early warning and linkage module is in communication connection with the data processing module and is used for executing graded early warning and linkage control based on the risk grades; the data processing module is further used for calculating the health state index of the SPD and dynamically predicting the remaining effective life of the SPD based on the health state index and the real-time environment parameters. The system has the functions of self-adaption to environment change and lightning protection monitoring and early warning.

This application discloses a method and system for uploading monitoring data for internet hospitals. The method includes: a data management center monitoring the data to be monitored generated on the internet hospital platform, obtaining the index value of the data to be monitored, and sending the index value to a front-end application terminal; the front-end application terminal obtaining the corresponding data to be monitored based on the index value, adding the data to a message queue, and transmitting the data to be monitored to the monitoring platform based on the message queue. This application uses the data management center to send the index value of the data to be monitored to the front-end application terminal, allowing the front-end application terminal to directly obtain the data to be monitored, avoiding the backlog of data requests between the gateway and the front-end application terminal, ensuring the timeliness and completeness of the data acquisition, and improving the accessibility of the data to be monitored. Simultaneously, the front-end application terminal sends the data to be monitored to the monitoring platform via a message queue, improving the concurrency of the data to be monitored.

The utility model provides a kind of mixing device of arterial blood collector, including rotating shaft and the mixing assembly being fixed in its outside, and the side plate of polygon is respectively arranged in the two sides of rotating shaft and multiple bearing plates are fixed on side plate, the detachable blood gas needle loading plate is equipped on the bearing plate, and multiple detachable blood gas needle mounting clips are equipped on the blood gas needle loading plate;The blood gas needle mounting clip is detachably set on the bearing plate.By blood gas needle mounting clip detachably set on blood gas needle loading plate, and blood gas needle loading plate itself also detachably install in the design of bearing plate, effectively solve the core pain point of poor versatility of traditional mixing device.

This application relates to a 10G network underlying packet high-speed filtering and interception system and method based on FPGA architecture, including a client MAC module, set at the data link layer, for receiving raw data packets in Ethernet frame format sent by the physical layer, inserting a count value as the identity identifier of the raw data packet to obtain an extended data packet; a risk control module, set at the data link layer and associated with the transport layer, for generating detection results and matching the detection results with the corresponding identity identifier; a MAC parsing module, set at the data link layer and associated with the transport layer, for parsing the extended data packet and obtaining the packet length field of the TCP packet; a forwarding control module, set at the data link layer, for calculating the delay duration, sending the MAC frame containing the TCP packet after the delay duration ends, and determining whether the MAC frame containing the TCP packet has been modified; and a market-side MAC module, set at the data link layer, for receiving the extended data packets sent by the forwarding control module, realizing high-speed packet filtering and interception at the 10G network underlying layer.

The invention relates to the technical field of special equipment for agricultural and sideline product processing, and discloses a sausage spacing self-optimizing energy-saving hanging rod system based on machine vision, which comprises a chassis and an electrical cabinet fixedly mounted at one end of the chassis, two upright posts are arranged on the top surface of the chassis, a top frame is arranged at the top ends of the two upright posts, and a conveying belt is arranged on the outer wall of the top frame; and a driving structure for driving the conveying belt is arranged on the electrical box. A two-stage correction structure of the sausage shaking assembly and the adjusting assembly is adopted, sausage preliminary returning is achieved through regular shaking of the sausage shaking assembly, accurate straightening is completed through the inertia effect by the adjusting assembly when sausage is not corrected in place, and the problem that the ends of sausages are hung mistakenly can be effectively solved through double correction; the sausage hanging device ensures that the joints of sausages are accurately hung at the preset positions of the hooks, so that the distance between the sausages after hanging meets the technological standard, the conditions of uneven heating and stacking extrusion caused by abnormal distance in subsequent processing are avoided, and the sausage processing yield is improved.

This application discloses a request processing method, apparatus, electronic device, and storage medium. The request processing system includes at least two hierarchical processing systems. A data layer stores business data for the region corresponding to the hierarchical processing system. An access layer receives requests initiated by clients from the region corresponding to the hierarchical processing system. The method includes: after the access layer in the first hierarchical processing system receives a request initiated by a client from the first region, the routing layer in the first hierarchical processing system determines, among the at least two hierarchical processing systems, the target hierarchical processing system where the target business layer for processing the request is located; the routing layer in the first hierarchical processing system routes the request to the target business layer in the target hierarchical processing system, so that the target business layer obtains the corresponding business data from the target data layer in the target hierarchical processing system and processes the request. This solution achieves effective request processing while ensuring business data isolation.

The present application belongs to the technical field of production scheduling, and particularly relates to a ham sausage low-temperature workshop production scheduling method based on an OPC UA protocol. The steps are as follows: Step 1: a real-time monitoring model is established according to ham sausage low-temperature workshop production operation rules; Step 2: on the basis of the model of Step 1, scheduling rules for multiple devices and raw material use are established; Step 3: different device and raw material use rules are dynamically selected according to real-time field device operation data information and field parameter settings obtained through the OPC UA protocol, to guide field production operation; and Step 4: when the device and raw material use rules are expanded, rules are supplemented according to actual conditions. The present application can quickly select scheduling rules for the complex and changeable production process of a ham sausage low-temperature production workshop, and dynamically adjust the scheduling rules according to real-time field data information obtained through the OPC UA protocol, to improve the utilization rate of the devices, and improve production efficiency and production output.

This utility model provides a film-pulling assembly for a sealing machine, belonging to the technical field of sealing machine technology. It includes a support frame that can slide linearly on the sealing machine; a clamping structure fixed to the support frame, comprising a hinged movable clamping plate, the rotation of which clamps or releases the material; a reset component connected to the movable clamping plate, used to drive the movable clamping plate to rotate and then push it back to its original position; and an electromagnetic component that indirectly drives the movable clamping plate to rotate via electromagnetic force. This utility model allows the reset component to reset the moment the electromagnetic component stops working, thus enabling the reset component to drive the clamping mechanism to clamp and fix the material. This allows the material end to be pulled during the movement of the film-pulling assembly, thereby indirectly improving material processing efficiency.