62 results about "Bulk cargo" patented technology

The utility model provides a bulk cargo container and locking equipment. The locking equipment comprises two lock seats, which are arranged on the upper and lower sides of the discharge port; a lock rod, which comprises a rod body rotatably connected to the discharge door and lock heads arranged on the upper and lower ends of the rod body; an operating handle, which is arranged on the lock rod and drives the discharge door to open and close relative to the discharge port; a locking plate, which is rotatably connected to the adjacent side of the discharge port and can be rotated to be close to or away from the discharge door; a locking piece, which is arranged on the locking plate and can abut against the discharge door; and a pressing plate, which is connected to the lock rod and can press the locking plate when the lock rod rotates, so that the locking piece presses the discharge door. The locking equipment can lock the lock heads and the lock seats by simply rotating the lock rod through the operating handle, press the locking plate through the pressing plate, achieve three-point pressing of the discharge door, improve the locking effect, and be convenient and fast.

The application discloses a kind of portal crane steady control system, comprising: wire rope monitoring unit, vibration monitoring unit, wind monitoring unit, absolute value encoder module, self-locking control unit, drive unit, PLC control unit, generate the first control signal of hoisting mechanism, the action of hoisting mechanism is driven by drive unit;For based on the abnormal vibration degree of key position of portal crane structure, when generating the second control signal of inhibiting or eliminating the abnormal vibration of key position of portal crane structure, the action of luffing mechanism, hoisting mechanism, slewing mechanism or trolley mechanism of portal crane is controlled by drive unit;Based on the real-time wind direction angle of bulk cargo terminal operating environment, the real-time angle of slewing mechanism transmitted by absolute value encoder module is compared, and the third control signal is generated by real-time wind speed, control drive unit and self-locking control unit, realize adaptive control to portal crane slewing structure.

This invention discloses a rapid switching operation method for bulk carriers between tank loading and open-top delivery modes, belonging to the field of logistics and transportation technology. The method includes determining the target delivery mode based on the type of vessel to be loaded; and adjusting the dust collection device according to the target delivery mode. By clarifying the complete process of pre-operation preparation, dust collection system switching, disassembly and assembly of the conical bulk loading head, equipment adaptation adjustment, and operation monitoring, this invention standardizes the operational standards of each step, optimizes the adaptation logic between the dust collection system and the delivery mode, and strengthens safety control and equipment monitoring during the operation process. This achieves rapid, safe, and efficient switching between the two delivery modes. It effectively solves various pain points existing in traditional switching methods, reduces manual labor intensity, improves the targeting and effectiveness of dust control, ensures the safety of operators and the stability of equipment operation, significantly improves the adaptability and overall efficiency of bulk cargo delivery, and meets the rapid delivery needs of different vessel types.

The present application relates to the technical field of cargo scheduling, in particular to a port piece bulk cargo handling digital resource scheduling and whole-process tracing system, which comprises a cargo digital unit, a cargo dynamic interaction unit, a scheduling optimization unit and a tracing verification unit. The present application takes the physical interaction characteristics of cargo and environment as the core driving element, captures the cargo state and environmental disturbance in real time through multi-modal sensor data collection, realizes the full-dimensional digital mapping from static attributes to dynamic behavior, and the physical feature closed-loop driving mechanism not only improves the accuracy of scheduling decision, but also builds a tracing system with chaotic characteristics through irreversible environmental disturbance fingerprint technology, effectively solving the problems of easy tampering and difficult reproduction of traditional tracing system. Secondly, a three-level risk perception scheduling system is innovatively designed, which deeply couples risk assessment and resource scheduling. This layered response strategy not only guarantees operation safety, but also avoids resource waste.

A container and a rail vehicle. The container comprises an upper container body and a lower container body, wherein each of the upper container body and the lower container body has an inner cavity for performing splicing, the side walls thereof are respectively provided with partial door frame embedding openings, and the upper container body and the lower container body are detachably and fixedly connected; and a sealed side door, which is detachably and fixedly connected to a door frame embedding opening formed after the splicing of the upper container body and the lower container body. The upper container body and the lower container body adopt a spliced structure, and are provided with the inner cavities and the partial door frame embedding openings that can be spliced, and the sealed side door is detachably and fixedly connected to the door frame embedding opening formed after splicing, such that the container can be quickly assembled and formed, bulk cargo can be consolidated from scattered units and simplified from complex forms, and operations such as disassembly, handling, storage and counting are facilitated.

The application provides a method and device for dynamically generating an isolation area in a port area and electronic equipment, the method comprising: in the case of receiving a road closure instruction, determining static boundary data of a wharf face according to a static port map, and determining a bulk cargo operation scenario according to the road closure instruction; obtaining RTK positioning data of an operation machine, and determining an operation reference coordinate of the operation machine according to the RTK positioning data; generating a closed three-dimensional polygon according to the bulk cargo operation scenario, the static boundary data and the operation reference coordinate, and determining the closed three-dimensional polygon as the isolation area, the closed three-dimensional polygon being used to constrain the potential influence range of the operation machine on the port traffic. The method solves the problem in the prior art that the static electronic fence and the high-precision map need a large amount of data collection and processing for updating, and the dynamic movement of the port operation machine cannot be adapted in real time, resulting in lagging of the isolation boundary and mismatch in space-time.

The application discloses a kind of based on multi-source data's dry bulk cargo wharf energy efficiency diagnosis method and system, it is related to port intelligent technology field, including, acquisition and fusion multi-source heterogeneous data, form standardization multi-source data event stream;Quantitative causal logic in dry bulk cargo wharf energy efficiency causal knowledge graph is injected into basic digital twin by using causal discovery algorithm to standardization multi-source data event stream carries out automation analysis, constructs dry bulk cargo wharf energy efficiency causal knowledge graph;Based on wharf physical layout, equipment parameter and process logic constructs basic digital twin, forms wharf process digital twin that is enhanced by causal knowledge by quantitative causal logic in dry bulk cargo wharf energy efficiency causal knowledge graph into basic digital twin;The detailed parameters of operation task are input into wharf process digital twin that is enhanced by causal knowledge with real-time environmental data and carry out simulation deduction, generate individualized dynamic energy efficiency benchmark curve.The application improves the sensitivity of energy efficiency anomaly detection under complex working condition, the accuracy of positioning and the effectiveness of decision support.

This application relates to the field of cargo hold cleaning technology, specifically to a multi-functional unmanned cargo hold cleaning pusher. This application provides a multi-functional unmanned cargo hold cleaning pusher, including a chassis with a control system mounted on it. A pusher assembly for handling materials at the bottom of the hold is located at the front of the chassis. Walking systems are located on both sides of the lower part of the chassis, and both the walking systems and the pusher assembly are connected to the control system. A support frame is located on the top of the chassis. A cargo hold cleaning manipulator is mounted on the support frame, comprising at least two robotic arms rotatably connected to each other. A first attachment assembly for handling materials on the hold bulkhead is located at the end of the manipulator. This application, by using a cargo hold cleaning manipulator with robotic arms mounted on a chassis, achieves the cleaning of bulk cargo residue in the entire area, including the bottom, bulkheads, and corners of the hold, without requiring manual entry or additional equipment, eliminating safety hazards for personnel and improving the efficiency of cargo hold cleaning operations.

The utility model relates to the field of unloading platform, especially unloading platform material handling flap. Including bottom plate, bottom plate is connected with the bearing frame, bottom plate is connected with the side plate, bottom plate is connected with the backplate, the backplate hinge connection has the baffle, the baffle is connected with the limit component, limit component includes the limit rod, the baffle is seted up with the sliding slot, the limit rod is connected with the sliding slot slidingly, the limit rod is connected with the spring, the other end of spring is connected with the sliding slot side wall, the side plate is seted up with the limit slot, the limit rod and limit slot mutually cooperate, the limit rod is connected with the operating rod, the baffle is seted up with the operation slot, the operating rod and operation slot slidingly connected, bottom plate is connected with the connecting plate, the connecting plate hinge connection has the flap. Adopt the utility model can avoid depending on manual frequently lifting and carrying, greatly reduce the manual labor intensity, especially to heavy material or bulk cargo, can significantly improve the unloading efficiency, shorten the operation time.

This invention discloses a remote control system for bulk cargo terminals, comprising: N gantry crane units; each gantry crane unit is equipped with two mobile hopper units; and a collaborative operation control unit: used to control the gantry crane units and mobile hopper units when the gantry crane units transmit vibration prevention steady-state, wire rope breakage prevention steady-state, and wind-resistant adaptive steady-state conditions, and when the gantry cranes and hoppers are aligned, thereby achieving collaborative operation control and monitoring of the N gantry crane units and their two mobile hopper units during unloading (without material) and loading (with material), as well as collision protection control and monitoring during the collaborative operation. This invention, by supplementing the collaborative operation control function of gantry cranes and mobile hoppers, achieves a dual improvement in the efficiency and safety of bulk cargo terminal operations.

The utility model provides a bulk cargo ship with side-mounted cargo winch, and belongs to the shipbuilding technical field. The utility model discloses including ship body structure, the ship body structure is equipped with a plurality of cargo holds along the length direction, the top of cargo hold is equipped with hatch coaming, is provided with the folding hatch cover on the hatch coaming, the main deck of ship body structure is installed with a plurality of Z type's crane base, is installed with the cargo winch on the crane base, the crane base can expand the hoisting range of cargo winch. The utility model can install the crane on the side deck of bulk cargo ship, and satisfies the hoisting demand of all cargo holds.

This invention relates to the field of online detection technology for physicochemical indicators of iron ore, and discloses an online comprehensive detection method and system for iron ore at dry bulk cargo terminals. The method includes: synchronously acquiring the conveyor belt speed, the vertical cross-sectional thickness of the iron ore flow, and the tilt gradient of the material surface; correlating the operating speed with the spatial coordinates of the material slice to establish a synchronous benchmark between workstations; adjusting the spectral acquisition pulse according to the tilt gradient and locking it to a flat area of ​​the material surface; and adjusting the detector integration time based on the vertical cross-sectional thickness. This invention utilizes the transient topological characteristics of the material to target the optical diffuse reflection and X-ray absorption processes, avoiding optical path offset and detection saturation deviation caused by disordered material flow distribution. It reconstructs the stable boundary conditions for online measurement from a physical mechanism perspective, effectively improving the confidence level of the target element analysis results.

The utility model relates to the technical field of cargo hold cleaning, especially relates to a boom type cleaning equipment suitable for port bulk cargo transportation, which comprises a transport vehicle, a boom, a connecting seat, a cleaning machine and electric wheels, etc.; the boom and a water supply system are installed on the transport vehicle, the connecting seat is hingedly connected to the side of the boom away from the transport vehicle, the connecting seat is connected with a clamping assembly, the connecting seat is connected with the cleaning machine through the clamping assembly, and the bottom of the cleaning machine is provided with at least six electric wheels. The utility model is provided with the cleaning machine, a first high-pressure water gun and a second high-pressure water gun, can clean the hold without manual high-altitude operation, improves the safety of hold cleaning, can complete large-area hold cleaning operation in a short time, improves the hold cleaning efficiency of the equipment, is further provided with a swing assembly, can make the second high-pressure water gun swing when spraying water for cleaning, can cover a larger cleaning area and clean the large-area tank-shaped bulkhead more quickly.

The present application provides a kind of multi-scene adaptive bulk cargo yard intelligent planning system, extracts the cargo type parameter from the collected image information automatically by data processing module, and accurately divides and morphologically analyzes the stacking by combining three-dimensional point cloud data, realizes the automatic identification and quantification of bulk cargo physical properties, and the planning engine module can dynamically generate the space layout and equipment path scheme matched with the current yard type and operation mode by fusing the automatically obtained cargo type attribute, stacking form parameter, yard topography and preset multi-dimensional scene configuration information, thereby solving the defects of insufficient pertinence of general planning method, realizing the whole process adaptation and automation from data acquisition to planning generation, and improving the planning accuracy, operation efficiency and management intelligent level of bulk cargo yard in different business scenarios.

This invention discloses a method and system for intelligent monitoring of moisture content and dust control of bulk cargo in ports. The method includes: firstly, collecting near-infrared spectral signals of different bulk cargoes at different moisture contents to construct a response relationship matrix between bulk cargo moisture content and near-infrared absorbance; secondly, training an initial detection model for the bulk cargo based on the response relationship matrix to obtain a target detection model for bulk cargo moisture content; thirdly, acquiring the critical starting wind speed for bulk cargoes with different moisture contents to obtain a functional relationship between the critical starting wind speed and moisture content; fourthly, acquiring real-time port environmental data and near-infrared spectral signals of the port bulk cargo, and using the target detection model for bulk cargo moisture content to determine real-time moisture content data; and finally, dynamically adjusting the operating parameters of the port bulk cargo dust suppression control system based on the functional relationship and real-time moisture content data. This method achieves the dual goals of dust suppression and water conservation.

The present application belongs to the technical field of dust concentration monitoring, and particularly relates to a port bulk cargo operation dust concentration monitoring method and system, the method comprising collecting apparent dust concentration and environmental relative humidity; constructing an environmental relative humidity sequence according to the environmental relative humidity and filtering and smoothing, identifying a humidity increasing section; calculating a concentration relative humidity slope sequence in the humidity increasing section, removing bulk dust interference, and obtaining a bulk dust interference removal slope sequence; in the bulk dust interference removal slope sequence, according to a sea salt aerosol deliquescence environmental relative humidity interval, dividing the sampling points into a low humidity sampling set and a high humidity sampling set; taking the difference between the slope mean values of the low humidity sampling set and the high humidity sampling set as a deliquescence concentration increment rate, calculating a sea salt aerosol deliquescence concentration contribution value for each sampling point in the high humidity sampling set, deducting from the apparent dust concentration, and obtaining an actual bulk cargo operation dust concentration. The present application improves the accuracy of coastal port bulk cargo operation dust concentration monitoring.

The present disclosure relates to a bulk dry cargo hinterland multimodal transport network and inventory joint optimization method considering uncertainty, which is used to solve the problems of weak network risk resistance, low heuristic algorithm solution quality and slow precise algorithm solution speed existing in the existing multimodal transport network and inventory joint optimization technical scheme. The present scheme presets low-cost nodes around the core hub as backup hubs, establishes a hub dynamic replacement mechanism based on "flat and urgent operation", and designs a Benders-CG solving method based on multiple scenarios, effectively solving the contradiction between network resilience, cost control and solving efficiency.

This invention discloses a general cargo terminal operation supervision system and method, belonging to the field of computer software and information technology. It includes a multi-source data integration module, a production efficiency analysis module, an equipment operation supervision module, a warehouse dynamic planning module, a video grid management module, a personnel and equipment collaborative supervision module, and a visualization display module. This invention employs the above system and corresponding methods to design a dedicated supervision system and method tailored to the industry characteristics of general cargo terminals, such as diverse cargo types, irregular warehouse layouts, varied operational processes, and frequent cross-operations of personnel and equipment. It solves the problem of the lack of adaptability of existing port supervision technologies to general cargo terminals, achieving dedicated full-domain visualized supervision of general cargo terminals, constructing a dual-dimensional intelligent analysis and early warning system based on cargo type and process, and also realizing collaborative safety supervision of personnel and equipment.

This invention provides a dynamic unloading method and system for bulk cargo ships based on multi-site collaboration, comprising: Step S1: constructing a terminal operation knowledge base and a yard stockpile knowledge base; Step S2: collecting operation data in real time; Step S3: generating a multi-site list based on the yard stockpile knowledge base, yard inventory and inbound / outbound information, and material usage plan, wherein the multi-site list includes product name and available time for each site; Step S4: generating a multi-site selection sequence scheme for each simultaneously operating conveyor belt system based on the multi-site list and a dynamic site selection model; Step S5: generating an optimal unloading scheme based on the terminal knowledge base, ship information, equipment tracking status information, ship compartment volume, and multi-site selection sequence scheme through a ship unloading model; Step S6: guiding the unloading operation according to the unloading scheme, dynamically analyzing the deviation between planned and actual volume based on real-time collected operation data and unloading conveyor belt volume, and repeating steps S3-S5 when the deviation exceeds a threshold or a major event is detected.

The application discloses a port loading and unloading efficiency prediction method based on deep learning and Internet of Things data fusion, and relates to the technical field of intelligent logistics, and comprises the following steps: S1, through deploying an Internet of Things terminal and a data transmission channel, synchronously collecting equipment operation state data, container attribute data, yard layout data, meteorological environment data and operation scheduling data; S2, pre-processing the collected data; S3, constructing a CNN-LSTM fusion model based on an attention mechanism and training; the model dynamic adaptation module is arranged, the CNN convolution kernel size and the LSTM hidden layer neuron quantity can be automatically adjusted, different scenes such as a container port and a bulk cargo port can be adapted, for different scales and different equipment configurations of the port, without additional customization and development, the existing Internet of Things terminal and the scheduling system can be directly connected, and the technical landing threshold and cost can be greatly reduced.

The application discloses a kind of dry bulk cargo wharf mobile caterpillar equipment intelligent marshalling and collaborative control system and method, the mobile caterpillar equipment intelligent marshalling and collaborative control system includes hardware part and software part, hardware part includes equipment modular classification module, dynamic marshalling strategy module, multi-machine collaborative control module and global data collaborative platform;Software part includes TI module and ECI module, and upwards with wharf operating system i-TOS interactive docking, and downwards through standardized interface form and caterpillar single machine equipment control system interaction.The application further discloses a kind of dry bulk cargo wharf mobile caterpillar equipment intelligent marshalling and collaborative control method.The dry bulk cargo wharf mobile caterpillar equipment intelligent marshalling and collaborative control system and method realize the automation operation optimization of unloading, storage, taking material, loading whole process by dynamic marshalling strategy and multi-machine collaborative control, improve the operation efficiency and space utilization of dry bulk cargo wharf.

The utility model discloses a kind of shoveling devices for fork truck, it is related to fork truck field, its technical key points are: including shoveling frame, the inside of shoveling frame is equipped with shoveling cavity, the shoveling cavity penetrates the top of shoveling frame, one side of shoveling frame is equipped with feeding opening, the feeding opening is connected with the shoveling cavity, the other side of shoveling frame is equipped with two fork insertion slot, the fork insertion slot is used for fork insertion, the fork insertion slot extends along the width direction of shoveling frame, the top of shoveling frame is equipped with two inverted material frame, the inside of inverted material frame is equipped with movable opening, the movable opening penetrates the two sides of inverted material frame, and the movable opening is used for fork insertion. It is to solve the technical problem that due to the structure limitation of fork truck, its carrying function is single, only can carry tray goods, for some bulk goods (such as: broken glass... etc.), fork truck cannot shovel bulk goods.

The utility model discloses a bulk cargo container, include: outer frame and inner box, outer frame is cage type frame, inner box sets up in outer frame, wherein, the box body of inner box adopts stainless steel composite board to make, the utility model discloses a bulk cargo container, which is made of stainless steel composite board, can effectively reduce the amount of stainless steel material while ensuring the cleanliness of the box, thereby reducing the manufacturing cost of the container, and is conducive to the containerized transportation of goods with high corrosion resistance and cleanliness requirements.

The application discloses a kind of three fuel bulk cargo ship biological fuel storage cabin arrangement method, comprising the following steps: (1) in the upper deck of the stern side of the upper house living area of bulk cargo ship, there is airtight hollow shell, shell wall width d j ; (2) in airtight hollow shell, vertical along bow stern direction is set with midship bulkhead, and airtight hollow shell is divided into methanol fuel cabin I and right cavity along left and right sides direction symmetry;(3) in right cavity, vertical arrangement isolation empty cabin II in middle near bow side, and right cavity is divided into biological fuel storage cabin and methanol fuel cabin II along bow stern direction;(4) the cabin wall of biological fuel storage cabin near bow side and right side is respectively expanded d j width;(5) the cabin of conventional fuel is arranged in engine room below upper deck and stern cargo cabin top edge cabin, and daily cabin and sedimentation cabin are arranged in engine room below upper deck.The application realizes biological fuel under the premise of guaranteeing the cabin capacity of conventional fuel cabin and methanol fuel cabin.

This application provides a method, system, and device for detecting the tilt state of a truck bed. By combining a directed target detection framework with a channel attention mechanism, this application constructs a YOLO-OBB model embedding an efficient channel attention (ECA) module to achieve accurate and stable identification of the truck bed's rotation angle. The method includes: acquiring and preprocessing a truck bed monitoring video stream; using the model to identify the truck bed and output its directed bounding box and tilt angle; comparing the output angle with a preset threshold to determine the tilt state, and triggering an early warning when tilted. This application achieves real-time, high-precision detection of the truck bed's tilt state without significantly increasing computational overhead, improving robustness and practicality in complex environments, and providing an effective visual monitoring method for the safety of coal and other bulk cargo transportation.

The application discloses a kind of based on video monitoring's dry bulk cargo wharf dust monitoring and intelligent control system and method, belong to environmental monitoring and dust control technical field.The system includes: video acquisition module, for obtaining wharf multi-view real-time video;Image analysis module is used to fog enhancement and region growth segmentation to video image, extracts dust feature;Multi-source data fusion module uses adaptive weighted fusion algorithm, according to real-time meteorological condition and data source confidence degree dynamically adjusts weight, with laser radar, point sensor and meteorological data are deeply fused, and global dust concentration distribution chart is generated;Intelligent decision module, according to dust distribution chart, combined with mobile target recognition obstacle avoidance and operation equipment position correlation analysis, through fuzzy PID control generates accurate spraying instruction.The application realizes the leap from point monitoring to surface perception, solves the problem that traditional method covers narrow, response lag, control extensive, with significant environmental and economic benefits.

The present application relates to the field of environmental monitoring and automatic control technology, and specifically provides a dust monitoring and analysis control system based on a port bulk cargo yard electronic greenhouse. The system includes an environmental multi-dimensional perception module, a dust field dynamic reconstruction module, a dust suppression demand prediction module, and a precise execution control module. Through multi-dimensional data acquisition, dynamic three-dimensional dust field modeling, future dust suppression demand prediction, and spatial and timing optimization control of the spraying resource, the system realizes precise monitoring, prediction, and on-demand deployment of dust suppression resources of dust concentration, effectively improving the timeliness, foresight, and operation efficiency of control.