270 results about "Quay crane" patented technology

The disclosure provides an intelligent horizontal transportation system for automatic loading or unloading at a container terminal. The system includes a plurality of autonomous transport robots (ATRs) and an ATR control system. The plurality of ATRs are configured to perform horizontal transportation tasks. The ATR control system is in real-time communication with the plurality of ATRs to manage and control the plurality of ATRs; the ATR control system is in real-time communication with a terminal management system, an automated yard crane, and an automated quay crane, so as to coordinate task scheduling between the automated yard cranes, automated quay cranes, and the plurality of ATRs. The ATR control system includes a task scheduling module, a dynamic path planning module, a standardized control interface module, a traffic management module, a lock station management module, a vehicle sequencing module, a charging scheduling module, a parking management module, and a remote driving module.

The invention discloses an intelligent port scheduling and energy efficiency optimization method based on digital twinning. The method comprises the steps that S1, three-dimensional point cloud data and sensor data of a target port are acquired; s2, constructing a port digital twin model comprising a quay crane model, an AGV model and a storage yard model; s3, agents are constructed for a quay crane model, an AGV model and a storage yard model in the port digital twinborn model, and a multi-agent reinforcement learning environment is built; s4, training each agent in a multi-agent reinforcement learning environment through a multi-agent reinforcement learning algorithm; s5, mapping the real-time task data and state data of the port to each trained agent to simulate the scheduling of the target port, and generating a port scheduling strategy; and S6, realizing operation scheduling of the quay crane equipment, the AGV equipment and the storage yard equipment of the target port based on the port scheduling strategy. According to the invention, the operation efficiency and the energy efficiency level of the port can be improved, and powerful technical support is provided for sustainable development of the intelligent port.

The invention relates to the technical field of equipment collaborative operation of the Internet of Things, in particular to a transit hub equipment collaborative operation method and system based on the Internet of Things technology. According to the method, original attitude motion data of a target ship are collected in real time through an attitude sensor network of the Internet of Things, and a real-time attitude drift vector of the target ship relative to a geodetic coordinate system is calculated; constructing a dynamic coordinate transformation matrix according to the real-time attitude drift vector; acquiring an expected operation track control instruction preset by the quay crane control system according to the geodetic coordinate system; performing coordinate transformation operation on the expected operation track control instruction through a dynamic coordinate transformation matrix to obtain a compensated cooperative control instruction; the compensated cooperative control instruction is transmitted to a quay crane control system in real time through an Internet of Things communication link, and a quay crane lifting appliance is driven by the quay crane control system to conduct lifting operation according to the compensated track instruction; and the safety and efficiency of the hoisting operation between the ship and the quay crane can be effectively improved.

The invention discloses a port container transportation full-process simulation and space planning quantification system and method under random event deduction. The system comprises a data acquisition module, a data processing module, a process simulation module, an efficiency quantification index generation module and an efficiency quantification module. The data acquisition module is used for acquiring basic data in port operation; the data processing module is used for processing the basic data; the process simulation module is used for constructing port container transportation process simulation covering the whole process of ship navigation, ship berthing, quay crane loading and unloading, storage yard storage and container truck outward transportation based on the processed basic data, and obtaining a simulation result; the efficiency quantitative index generation module is used for obtaining an efficiency quantitative index according to the container transportation characteristics and the port operation experience; and the efficiency quantification module is used for quantifying the simulation result by utilizing the efficiency quantification index. According to the invention, the current operation efficiency level of the port can be measured comprehensively and objectively.

The invention discloses a new energy access lower harbor area transformer insulation performance and service life evaluation method, which comprises the following steps: firstly, establishing a wind and light storage AC / DC hybrid micro-grid equivalent simulation model, and quantifying a composite action mechanism of new energy fluctuation and harmonic characteristics on dynamic loss and hot-spot temperature rise of a transformer; analyzing a harmonic loss mechanism of the transformer in different operation modes; secondly, constructing a quay crane and field crane operation simulation model, and analyzing the harmonic characteristics of bridge crane equipment and the influence of the harmonic characteristics on the harmonic distortion rate of the power distribution network; then, on the basis of the data, a transformer hot-spot temperature dynamic calculation model is established in combination with bidirectional power flow characteristics; and finally, calculating transient temperature distribution of the transformer through a flow field-temperature field coupling method, and constructing a multi-physical field coupled insulation aging rate model to realize evaluation of the residual life of the transformer. The method solves the problem that the traditional method cannot quantify the bidirectional power flow and harmonic wave composite aging effect.

The invention relates to a quay crane RTK positioning precision evaluation method and system and a storage medium, and the method comprises the steps: L1, when an unmanned container truck carries out the container loading and unloading operation under a quay crane, the quay crane RTK feeds back the positioning value of a vehicle according to a fixed frequency, and obtains the data information of the positioning value of the vehicle within a fixed time; l2, based on the data information of the positioning value of the vehicle within the fixed time, predicting the positioning value of the vehicle by adopting an improved ELMAN dynamic recurrent neural network prediction algorithm optimized based on a particle swarm optimization algorithm to obtain the data information of the predicted positioning value of the vehicle; and L3, based on the predicted data information of the positioning value of the vehicle, optimizing the positioning value of the vehicle by adopting a zebra optimization algorithm of a self-adaptive dynamic learning factor based on global search to obtain the optimized data information of the positioning value of the vehicle. The alignment success rate of the unmanned container truck can be increased, and harbor area operation can be prevented from being affected.

The invention discloses a container logistics ecological chain large model system based on a joint model, and relates to the technical field of container logistics, and the system comprises real equipment, a Tos system, a real-time data concentrator, a virtual port, a database, and an LLM. The real equipment is key operation objects of a port site and comprises quay cranes, wheel cranes, inner container trucks, storage yards, ships and the like, and each object continuously outputs real-time operation state data; and the Tos system is responsible for receiving and processing real-time data from real equipment. According to the container logistics ecological chain large model system based on the joint model, a scheduling strategy with sensing, decision-making and self-adaption capabilities is formed by training an agent in a virtual port environment, and real-time deployment and application are performed in an actual port, so that multi-type equipment and multi-task concurrent scheduling can be supported; efficient, real-time response and dynamic rescheduling capability are realized, and the overall intelligent level, loading and unloading efficiency and handling capacity of port operation are improved.

The invention relates to an intelligent port cargo scheduling method based on the Internet of Things, and the method comprises the steps: collecting cargo state information, equipment position coordinates, operation progress data and environment parameters in real time through Internet of Things sensor nodes disposed on a quay crane, a container truck, a storage yard sling and a cargo carrier, and fusing a port GIS map and a berth plan based on the real-time collected data, and establishing a multi-objective optimization model with maximization of the quay crane-container truck-storage yard cooperative efficiency as an objective and minimization of equipment conflict avoidance and path overlap as constraint conditions, and dynamically activating or sleeping storage yard operation partitions and adjusting the number of container truck marshalling according to the obtained storage yard congestion prediction index and the parking space vacancy rate.

The invention relates to the field of automatic container wharf operation optimization, in particular to a container wharf automatic remote control quay crane one-control-two operation control system and a quay crane operation control method, and the system comprises a remote console which is used for receiving an operator instruction and displaying real-time operation data; at least two quay crane devices, wherein each quay crane device comprises a crane and a container spreader; the automatic remote control system is used for analyzing the operation instruction and controlling the quay crane to execute automatic loading and unloading operation; the dynamic switching module is in communication connection with the automatic remote control system, so that the control rights of the two quay crane devices are alternately switched under the monitoring of a single operator; and the safety monitoring module is used for monitoring the operation state of the double-shore bridge in real time and ensuring the safety of the system when the control right is switched. According to the one-control-two operation control system for the automatic remote control quay cranes of the container wharf, the operation of managing and switching the two quay cranes at the same time by a single operator through the remote control console, and the problem that manpower resources of the wharf are insufficient is effectively solved.

The invention discloses an automatic container terminal quay crane operation mode intelligent switching system and method, and the system comprises a mode management unit which is used for defining an automatic mode, a manual intervention mode and a special mode, and configuring mode switching conditions; the dynamic safety detection unit is used for monitoring the lifting appliance height and container operation area parameters in real time, the types of containers comprise tanks, overrun boxes and dangerous goods boxes, and the types of operation areas comprise an on-board area, a bridge bottom IGV operation area and a bridge rear container truck operation area; the task coordination engine unit is used for responding to the mode switching request and executing a corresponding task; and the abnormity recovery unit is used for triggering a task recovery or manual intervention mode based on the container carrying state of the lifting appliance and the ID of the container when the special mode is switched back to the automatic mode. According to the embodiment of the invention, while the cost advantage of a single-trolley automatic system is maintained, the system safety and the operation efficiency are optimal, and a brand new solution is provided for automatic modification of a wharf.

The invention relates to the field of deep learning, and provides a container ship loading and unloading operation time prediction method and system for solving the problems that an existing container ship operation time estimation method is rough, and operation data has noise in a real loading and unloading operation scene. On the basis of a deep residual shrinkage network DRSN-CW (Deep Residual Shrinkage Net) model with feature extraction and denoising capabilities under a ResNet-18 architecture, a fixed soft threshold function is changed into a more flexible adaptive threshold function, so that the noise reduction capability is more flexible while the feature learning capability is kept. According to the scheme of the application, the request of real-time prediction of the quay crane operation duration in the berth planning process can be well met with relatively high average detection precision and robustness.

The utility model discloses an outdoor module box with a cooling system. The outdoor module box comprises a box body, an air conditioner and a temperature and humidity detection sensor, the air conditioner penetrating body is arranged on the side face of the box body and used for reducing the temperature in the box body. The temperature and humidity detection sensor is arranged in the box body and establishes data communication with a main PLC (Programmable Logic Controller) of the quay crane; the air conditioner is an integrated air conditioner, and a controller on the air conditioner is in control connection with a master control PLC of the quay crane. According to the utility model, the refrigerating system and the temperature adjusting and limiting device are additionally arranged in the outdoor module box, so that equipment in the outdoor module box can work normally in a hot environment.

The present application provides a vision-based safety intelligent electronic fence protection system and method for quay crane operations. The system according to the present application includes: monitoring equipment, a switch, a perception workstation, and an audible and visual alarm; the monitoring equipment is used to monitor the quay crane operation area to obtain monitoring images, integrate the monitoring images into monitoring data, and send the monitoring data to the perception workstation through the switch; the switch is used to transmit the monitoring data to the perception workstation; the perception workstation is used to configure the intelligent electronic fence protection function for the quay crane operation area, and identify the lane lines on the driving path of the quay crane in real time; perform real-time processing, identification and detection of abnormal intrusion in the quay crane operation area, and generate a warning signal; the audible and visual alarm is used to give an audible and visual alarm according to the warning signal. The technical solution provided by the present application can accurately detect obstacles in the operation area and can warn of abnormal situations within a specific range.

The invention discloses an electric energy feedback collection and load peak suppression system for a wharf crane, and relates to the technical field of wharf power supply and distribution and energy management. Wherein the wharf crane comprises a quayside container crane (quay crane), a rail or rubber-tyred container portal crane (gantry crane) and the like, which are called cranes for short hereinafter. According to the system, instantaneous power, average power, peak duration and power increasing rate of a wharf power station, feedback power and feedback electric energy of a crane, capacity and charging and discharging parameters of an energy storage device, and electric energy quality indexes of a power grid are collected in real time; respectively calculating a peak impact index, a feedback absorption coefficient, a peak valley switching coefficient and a harmonic suppression coefficient, and comparing and analyzing with a preset threshold to generate a corresponding strategy; and integrating the results of the modules, carrying out unified scheduling on the energy storage device, and realizing power fluctuation compensation and stable output through a smooth scheduling strategy, thereby constructing an operation mechanism. According to the method, the instantaneous peak power of the wharf power station can be effectively inhibited, the feedback energy consumption capability is improved, the peak-valley scheduling economy is optimized, the electric energy quality is improved, and the safety, stability and energy efficiency of system operation are improved.

The present invention discloses a multi-agent collaborative optimization operation method for an automated container port, which relates to the field of port scheduling operations. This method constructs two models with the shortest port operation time and the least operation cost, and considers port fixed costs, carbon emissions, carbon taxes, etc., making assumptions and constraints on the models; uses the Grey Wolf Algorithm for steps such as individual coding and generating an initial population, and tests the performance of the Grey Wolf Algorithm; finally, calculates with an example to verify the effectiveness of the model and the algorithm. This solution uses a mathematical model to simulate the actual container port collaborative operation method, can analyze the relevant factors affecting the container port operation efficiency, and conducts collaborative optimization around the three main bodies of berths, quay cranes, and AGVs in the operation process to transform the multi-objective problem into a single-objective problem, facilitating the simulation and analysis of actual problems. At the same time, the standard deviation of the Grey Wolf Algorithm is lower than that of the other two algorithms, having higher stability.

An intelligent control system and method for automatic wheel guidance of a quay crane trolley, comprising: driving units (6) connected to wheels (2, 3, 4, 5) of a quay crane trolley (1) and used for controlling the guidance of the wheels (2, 3, 4, 5); displacement sensors (7) arranged on the driving units (6) and used for obtaining the displacements of the wheels (2, 3, 4, 5); distance measuring sensors (8) arranged on tracks (9) and positioned close to the proximal sides of the wheels (2, 3, 4, 5) and used for obtaining gaps between rims of the wheels (2, 3, 4, 5) and edges of the tracks (9); and an intelligent controller (10) used for reading the measured values of the displacement sensors (7) and the distance measuring sensors (8), so that the wheels (2, 3, 4, 5) undergo torsion for automatic deviation correction, the wheel orientation of the quay crane trolley (1) can be corrected in time, deviation and rail gnawing are avoided, and the problem of deviation of the quay crane trolley (1) is solved.

The invention discloses a port operation scheduling method, device and equipment, a storage medium and a program product, and the method comprises the steps: determining the state information of a to-be-scheduled port, and the state information comprises a ship unloading operation task table, real-time traffic flow data, container truck operation information, shore bridge operation information and field bridge operation information; and inputting the state information into a container truck-quay crane-field crane collaborative scheduling model, determining scheduling information of the port to be scheduled through the collaborative scheduling model, and performing collaborative operation scheduling of the container truck, the quay crane and the field crane according to the scheduling information. Therefore, due to the fact that the operation information of the container trucks, the quay cranes, the field cranes and the like is considered at the same time, the operation efficiency of the container trucks, the quay cranes and the field cranes can be maximized through the scheduling information obtained through the collaborative scheduling model, and then the transportation cost of port operation is reduced.

The invention discloses an incremental learning enhanced integrated agent assisted evolutionary algorithm, which comprises the following steps of: setting parameters of a self-adaptive rolling time domain strategy according to information of a ship to be allocated, and dividing a long-term berth quay crane collaborative allocation problem (LBACAP) into continuous sub-LBACAPs; solving the sub LBACAP by using an integrated agent assisted evolutionary algorithm; the arrival time and departure time are predicted according to the arrival sequence of the ships, dynamic adjustment and processing of the continuous arrival ships are achieved, time windows are divided, and it is ensured that the algorithm can adapt to the continuous arrival field of the ships by dynamically adjusting the time windows; three proxy models of Kriging, RBFN and SVR are utilized, so that the calculation cost is remarkably reduced, and meanwhile, the strong search capability is kept; historical decision information is used for guiding the optimization process of a subsequent time window, and the optimization effect of the algorithm is gradually improved; through combination of a rolling window and incremental learning, an optimal berth and quay crane distribution scheme can be found in a global range.

The invention provides a mechanical hook type girder pitching safety hook and a working method, relates to the field of quay crane safety facilities, and aims to solve the problems of power dependence defect of the existing hook type safety hook and high alignment difficulty of a plug pin type safety hook, the pitching safety hook is composed of a base, a hook tongue, a lock pin and a hook, and the hook tongue is rotatably mounted on the base; the thrust part and the hook part are ingenious in design, when the hook abuts against the thrust part, the hook tongue can rotate through pushing of the hook, rapid hooking action is achieved, manual high-altitude operation is not needed, the operation efficiency is greatly improved, and meanwhile the falling risk of personnel is eliminated; the lock pin is installed on the base in a sliding mode in the direction parallel to the rotating axis of the hook tongue, the trigger block and the lock block of the lock pin can synchronously act along with the action of the thrust block, the mechanical structure is simple, corrosion resistance is better in the high-salt-mist and high-humidity environment of a port, and the maintenance cost is reduced.

The invention relates to the field of radiation scanning, in particular to a radiation scanning inspection system and a control method. The radiation scanning inspection system includes: a quay crane including a gantry structure and a cargo handling mechanism disposed on the gantry structure, where the gantry structure includes a sea side gantry and a land side gantry, the cargo handling mechanism configured to perform cargo handling between a first position on the sea side and a second position on the land side; the first radiation scanning inspection device is arranged on the sea side door frame and is configured to carry out radiation scanning inspection on the goods in the process that the goods carrying mechanism carries out goods carrying from the first position to the second position; the cargo carrying mechanism is further configured to adjust the length direction of the cargo before the first radiation scanning inspection device conducts radiation scanning inspection on the cargo. According to the embodiment of the invention, the loading, unloading and checking efficiency of goods can be improved, and the occupation of the internal space of the frame of the quay crane can be reduced.

The invention relates to the technical field of port container loading and unloading, in particular to a system and method for container lock disassembly and assembly operation scheduling, and the system comprises a quay crane terminal subsystem which is arranged in a quay crane cab and is used for transmitting locking instruction information to a server through a wireless network; the server is used as an information center for receiving and processing the locking instruction information sent by the quay crane terminal subsystem and pushing the locking instruction information to the corresponding container truck terminal subsystem for transporting the container; the container truck terminal subsystem is arranged in a container truck cab and used for receiving and displaying the locking instruction issued by the server, and a terminal screen can indicate whether the currently transported container needs to be locked or not; and the LED indication screen is connected with the container truck terminal subsystem through a network cable and communicates with the container truck terminal subsystem through a binary code, and the problems that in the prior art, efficiency is low, the error rate is high, and the process is not traceable are solved.

The invention discloses a container terminal container truck scheduling optimization method oriented to multi-stage multi-equipment collaboration. The method comprises the steps that S1, a multi-stage multi-equipment collaboration container truck scheduling optimization model with the minimum ship completion time and the maximum advance time of a ship as the optimization target is established; s2, designing a dynamic task chain coding method; s3, developing an efficient multi-device collaborative multi-task scheduling schedule generation algorithm for a decoding process; s4, designing selection, crossover and mutation operators of the genetic algorithm; and S5, executing a genetic algorithm, optimizing task allocation, and finally determining an optimal scheduling scheme. According to the method, the technical problem that efficient allocation of quay crane, container trucks and field crane tasks is realized by constructing a container truck scheduling mathematical planning model and combining a genetic algorithm is solved. According to the method, the scheduling scheme is gradually optimized through multiple iterations and algorithms, the optimal solution is finally generated, tasks are reasonably distributed, the operation sequence is optimized, and the equipment waiting time and operation delay are reduced.

The invention provides a turning trolley and a quay crane with an annular girder, the turning trolley comprises a frame assembly, the frame assembly comprises a bottom frame and two frames, the two frames are oppositely arranged on the bottom frame in the first direction, the annular girder is arranged between the two frames, and the bottom frame is located below the annular girder; one of the two pairs of wheel assemblies is arranged on the portion, located on the inner side of the annular girder, of the vehicle frame and is in sliding connection with the inner rail, the other pair of wheel assemblies is arranged on the portion, located on the outer side of the annular girder, of the vehicle frame and is in sliding connection with the outer rail, and the center distance between the pair of wheel assemblies on the outer rail is larger than that between the pair of wheel assemblies on the inner rail; each wheel assembly is driven by an independent driving piece; and the power connection assembly is arranged on the bottom frame and is electrically connected with the sliding contact line below the annular girder in a sliding mode, and the power connection assembly is electrically connected with all the driving pieces. The turning trolley can be suitable for the annular girder.

The utility model provides a hanging bracket which comprises a connecting beam, a hanging bracket body and a hanging bracket body. The length direction of the connecting beam is consistent with the first direction. The two ends, in the first direction, of the connecting beam are each connected with one supporting frame, the length direction of each supporting frame is consistent with the second direction, the second direction is perpendicular to the first direction, and the first direction and the second direction are both perpendicular to the vertical direction; each lifting lug is respectively arranged on the corresponding support frame; and each positioning plate is detachably connected with the end, deviating from the connecting beam, of the corresponding supporting frame, the two positioning plates are oppositely arranged so that the quay crane heightening section can be located between the two positioning plates, and each positioning plate is used for being connected with the quay crane heightening section. According to the lifting frame, the collision between the lifting hook and the heightened section of the quay crane can be avoided, and the stability during lifting is improved.

The invention relates to the technical field of freight shipment, in particular to a shipment method based on a dynamic stowage mode, which comprises the following steps: analyzing ship shipment data and storage yard equipment distribution conditions to obtain shipment operation sequences under different shipment operation lines, and determining the shipment data under the same shore bridge as shipment single-group data; analyzing the shipment single group of data to obtain an operation sequence of the containers with the same container attribute; solving container truck requirements of different operation lines of the whole ship by using a recursive algorithm, and solving container discharging at a storage yard side by using a Monte Carlo tree search algorithm according to attribute operation requirements of a shore side container; the storage yard position suitable for container discharging is dynamically planned based on the distribution condition of storage yard side equipment and the storage yard sequence set by wharf operators, an adaptive shipping strategy is selected based on an algorithm result for shipping, and the problems that in the prior art, shipping efficiency is low, flexibility is poor, and safety cannot be guaranteed are solved.

The present invention provides a cascade PID control method for cylinders used in quay cranes. The quay crane has multiple cylinders and a spreader. The pistons of the multiple cylinders are linked to piston rods to drive the spreader. Each cylinder is subjected to cascade PID control. The cascade PID control method includes: outer-loop control of the piston position based on its actual position and its desired position; and inner-loop control of the piston speed based on its desired speed and its feedback speed. This cascade PID control method for cylinders in a quay crane can achieve stable tilting motion of the spreader.

The application discloses a direct unloading and direct loading type container wharf and a working method thereof, adopts high-low two-layer longitudinal and transverse track line body structures and R-AGVs running thereon to connect a quay crane and a yard, and a buffer platform and a shuttle channel in the yard, so that containers are directly unloaded into the yard and accurately stacked or directly loaded into a ship cabin, whether unloading or loading is carried out by multiple top-opening type container three-dimensional yards and multiple mode conveying equipment resources cooperative operation, meanwhile, the quay crane double-lifting-gear empty container unloading on double R-AGVs and the quay crane single-lifting-gear heavy container unloading and loading on high-low two-layer R-AGVs bidirectional unloading and loading operation can be realized, the requirements of high efficiency, accuracy, smoothness and low consumption of digital technology are met, and the technical problems of low overall efficiency of the wharf and a large number of overturned containers caused by the difficulty of matching the high efficiency of the quay crane loading and unloading ship with the existing automatic wharf resources are solved.

The invention belongs to the technical field of anti-leakage systems for hydraulic stations of rear girders of quay cranes, and particularly relates to an anti-leakage system and method for a hydraulic station of a quay crane. Comprising a data acquisition module used for acquiring an oil tank liquid level signal of a shore bridge hydraulic station and at least one real-time working condition signal of a shore bridge in real time; and the data processing and control module is electrically connected with the data acquisition module. Liquid level fluctuation and real leakage caused by normal actions (such as cart movement and oil cylinder action) of equipment are effectively distinguished, and the problems that a traditional low-liquid-level alarm device is high in false alarm rate and lags in alarm are fundamentally solved.

This invention relates to the field of loading and unloading equipment technology, and discloses a quay crane loading and unloading system, comprising: a container quay crane having a main beam and a quay crane trolley, with a spreader on the quay crane trolley; and a transfer mechanism located below the main beam, the transfer mechanism including a cargo basket, a counterweight, and a circulating drive device. The cargo basket and the counterweight are respectively connected to the circulating drive device and are respectively arranged symmetrically on both sides of the circulating drive device along the vertical direction. The cargo basket is suitable for carrying containers, and the circulating drive device is suitable for driving the cargo basket and the counterweight to reciprocate between a first height position and a second height position. This invention, by setting up a transfer mechanism, utilizes transferred containers, reduces the lifting distance of the spreader, and reduces the energy and time consumption of container lifting operations on the container quay crane; by using the counterweight symmetrically arranged with the cargo basket to offset part of the container's weight, the driving power of the circulating drive device is reduced, further reducing the energy consumption of transferring containers on the transfer mechanism.

According to the quay crane and the lifting heavy hammer limiting device, the quay crane lifting heavy hammer limiting device is arranged on a girder, the girder is provided with a trolley frame, the heavy hammer limiting device comprises a heavy hammer, a limiting rod, an elastic piece and a swing rod, and the heavy hammer is arranged on the trolley frame; the limiting rod is located below the trolley frame and hinged to the trolley frame. Two ends of the elastic piece are respectively connected with the trolley frame and the limiting rod; the swing rod is hinged to the lower portion of the limiting rod, is perpendicular to the extending direction of the limiting rod and is connected with the heavy hammer through a connecting piece. According to the quay crane lifting counter weight limiting device, a traditional rigid connection structure is improved, when the lifting appliance deflects in any direction and collides with the limiting rod, the limiting rod can freely rotate around the hinge, the collision force of deflection of the lifting appliance to the support is released, the elastic piece enables the limiting rod to reset in time through the elastic force, and the lifting appliance is prevented from being damaged. The problems that the support is prone to being collided to generate permanent inclination deformation and lose positioning accuracy are solved.