A Dynamic Simulation Optimization Analysis Method for Bridge Cranes

Abstract

The present invention provides a dynamic simulation analysis method for a bridge crane. Through the optimization analysis of the operating mechanism of the bridge crane based on QUEST and the adjustment of the operating parameters of the bridge crane, the optimization analysis of the bridge crane is realized. The influence of the change of the operating mechanism parameters on the crane during the operation of the bridge crane is considered, so as to conduct the optimization analysis of the bridge crane. The technical solution of the present invention is to model the bridge crane, including two parts: a geometric model and a logical model. The relevance of the geometric model is determined, and then the process description between devices is carried out. Finally, logical modeling is carried out. After determining the simulation parameters, simulation output is performed, and then optimization is carried out. The effects and benefits of the present invention are to optimize the operating mechanism parameters during the operation of the bridge crane, thereby realizing the optimization of the bridge crane, improving the operating efficiency of the bridge crane, and being suitable for application as a dynamic simulation analysis method for a bridge crane.

Description

Technical Field

[0001] The invention belongs to the technical field of simulation, and in particular relates to a dynamic simulation optimization analysis method for a bridge crane. Background Art

[0002] Dynamic simulation technology is a simulation model technology that uses simulation software, numerical calculations and problem solving to reflect system behaviors or processes.

[0003] A bridge crane is a type of crane that is supported directly on the elevated structure of a building with tracks at both ends through some operating devices. A bridge crane is generally composed of a bridge, a trolley operating mechanism, a lifting trolley and an electrical control part. The trolley of a bridge crane includes a frame, a trolley operating mechanism and a lifting mechanism. Bridge cranes are widely used in factory production processes. A bridge crane is an element of a material conveying system. It is usually used to transport or load and unload some heavy parts between loading and unloading stations. It is also a key equipment in actual production and is extremely important for production. It is of certain practical significance to introduce the crane into a factory environment for dynamic simulation optimization in a relevant environment.

[0004] The bridge cranes used in the workshop generally adopt computer control technology and are equipped with PLC and variable frequency speed controller. The cranes have control requirements for the lifting speed, the running speed of the trolley and the truck, and the over-limit of heavy objects, and these controls require actual measurement of parameters such as speed and weight.

[0005] Therefore, it is necessary to analyze and optimize the bridge crane by regulating the operating parameters of each mechanism of the bridge crane and performing dynamic simulation operation. Summary of the invention

[0006] In order to solve the above technical problems, the changes in parameters of various operating mechanisms during the operation of the bridge crane are adjusted and analyzed to find out the impact on the crane, so as to achieve the effect of analyzing and optimizing the bridge crane. The present invention provides a dynamic simulation analysis method for a bridge crane. By performing QUEST-based optimization analysis on the operating mechanism of the bridge crane and adjusting the operating parameters of the bridge crane, the optimization analysis of the bridge crane is achieved.

[0007] The solution adopted by the present invention to solve the technical problem is:

[0008] A dynamic simulation optimization analysis method for bridge crane:

[0009] The following steps are involved:

[0010] Step A. Geometric modeling of the components of the bridge crane:

[0011] Reflect the shape, position and processing relationship of physical entities in a static mode, and then add degrees of freedom, its own coordinate system, processing coordinate system and motion scripts to the static geometric model to reflect the relative motion of each important equipment and each component of the bridge crane;

[0012] Step B. Logical modeling of the bridge crane:

[0013] The logical modeling is an abstract description of the decision-making activities occurring in each manufacturing resource of the bridge crane, controlling and completing the selection and scheduling functions of the production model;

[0014] Step C. Determine the simulation parameters of the bridge crane:

[0015] Input the speeds, accelerations, and operating product time intervals of the trolley running mechanism and the crab running mechanism of the bridge crane on the parameter interface of the corresponding model;

[0016] Input the speed, acceleration, and hoisting and lowering product time intervals of the lifting mechanism on the parameter interface of the corresponding model, so as to determine the simulation parameters of the bridge crane and parametrically express the working speed, working time, equipment failure rate, and product interval of the bridge crane;

[0017] Step D. Determine the relevance of each mechanism model of the bridge crane:

[0018] When simulating the bridge crane, it is necessary to further determine the relevance between models, and describe the relevance between elements in the system through links. Links can define an element class or a certain object of an element class; when defining an element class, one or more logics will be used to define the specific elements that the part is to turn to; the determination of relevance fully maps the hierarchical relationship and operation feasibility between each link in the bridge crane mechanism;

[0019] Step E. Process description of the bridge crane simulation:

[0020] The process is the general term for all events that occur when parts are processed on the bridge crane. The process is described in the corresponding language and is associated with a certain element of the bridge crane, enabling the element to execute this process. The same process can be associated with multiple elements;

[0021] Step F. Simulation output of the bridge crane:

[0022] After simulation by the simulation software, optimize and output the simulation results.

[0023] Further, in step A, the mechanism modeled geometrically is the main mechanism of the bridge crane, including the gantry rail, end beam, main hoisting mechanism, auxiliary hoisting mechanism, hoisting trolley, trolley running mechanism, and main beam. Geometric modeling is carried out in the CAD module of QUEST. By collecting data on the shape, position, and size of the physical entities of the above mechanisms, the true object shape and geometric parameters of the mechanisms are reflected.

[0024] Further, the logical modeling in step B includes: Process logic: mainly used to control the behavior of parts after entering elements, responsible for sending requests to upstream elements and / or obtaining information for processing parts; Sending logic: defines the movement process of parts and mechanisms between elements; Request logic: used to control the flow of requests between elements under the pull production model; Queuing logic: determines the rules when parts leave buffer elements; When the simulation starts running, different modules are used to establish logic in the model to form logical modeling. During the process of the model reading various logics, once the corresponding logic is satisfied, the model will execute the operations corresponding to this logic.

[0025] Positive effects:

[0026] The effects and benefits of the present invention are to optimize the operating mechanism parameters during the operation of the bridge crane, thereby realizing the optimization of the bridge crane and improving the operating efficiency of the bridge crane. It is suitable to be applied as a dynamic simulation optimization analysis method for bridge cranes. Description of the Drawings

[0027] Figure 1 It is a dynamic simulation flowchart of a bridge crane. Detailed Embodiments

[0028] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirits of the present invention. The scope of the present invention is defined by the appended claims and their equivalents. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0029] A method for dynamic simulation optimization analysis of a bridge crane includes the following steps:

[0030] A. Geometric modeling of the bridge crane:

[0031] Geometric modeling is the mathematical description and simulation of real objects, reflecting the shape, position, and processing relationships of physical entities in a static mode.

[0032] For the main mechanisms of the bridge crane, such as the trolley track, end beam, main hoisting mechanism, auxiliary hoisting mechanism, hoisting trolley, trolley running mechanism, main girder, etc., geometric modeling is carried out in the CAD module of QUEST. By collecting data on the shape, position, and dimensions of the physical entities of the above equipment, the true object shape and geometric parameters can be reflected.

[0033] Add degrees of freedom, its own coordinate system, processing coordinate system, and motion scripts to the static geometric model to reflect the relative motion of each important equipment and each component of the bridge crane.

[0034] B. Logical Modeling of Bridge Crane:

[0035] An abstract description of the decision-making activities occurring in each manufacturing resource in the bridge crane, controlling and completing functions such as the selection and scheduling of the production model;

[0036] Logic is an abstract description of the decision-making activities occurring in each manufacturing resource in the actual bridge crane, used to describe and define the behavior and functions of this class. Process logic is mainly used to control the behavior of parts after entering the element, responsible for sending requests to upstream elements and / or obtaining information for processing parts; Sending logic defines the movement process of parts and mechanisms between elements; Request logic is used to control the flow of requests between elements under the pull-type production model; Queuing logic determines the rules when parts leave the buffer element. When the simulation starts running, logic is established through different modules in the model to form logical modeling. During the process of the model reading various logics, once the corresponding logic is satisfied, the model will execute the operations corresponding to this logic.

[0037] C. Determination of Simulation Parameters of Bridge Crane:

[0038] The geometric model and logical model of the bridge crane are a description of modeling the actual bridge crane model. To further standardize and digitize the model and ensure the authenticity and accuracy of dynamic simulation, it is necessary to parametrically express the working speed, working time, equipment failure rate, product interval, etc. of the bridge crane. Input the speed, acceleration, running product time interval, etc. of the trolley running mechanism and trolley running mechanism of the bridge crane on the parameter interface of the corresponding model, and input the speed, acceleration, and hoisting and lowering product time interval, etc. of the lifting mechanism on the parameter interface of the corresponding model, so as to determine the simulation parameters of the bridge crane.

[0039] D. Determination of the Relevance of Each Mechanism Model of Bridge Crane:

[0040] When simulating a bridge crane, it is necessary to further determine the relevance between models. The relevance between elements in the system is described through links, and a link can define an element class or an object of an element class. When defining an element class, one or more logics are used to define the specific element to which a part is to be directed. The determination of relevance fully maps the hierarchical relationship and operational feasibility between various links in the bridge crane mechanism.

[0041] E. Process description of bridge crane simulation:

[0042] A process is the general term for all events that occur when a part is processed on a bridge crane. The process is described in the corresponding language and is associated with a certain element of the bridge crane, enabling the element to execute this process. The same process can be associated with multiple elements:

[0043] F. Simulation output of bridge crane:

[0044] After simulation using simulation software, the simulation results are optimized and output.

[0045] Embodiment of the present disclosure:

[0046] Geometric modeling of the bridge crane is carried out. The geometric model of the bridge crane is created in Catia software, highlighting its important external dimensions for convenient visual expression and imported through the CAD module in Quest. The geometric model of the traveling crane element (representing the bridge crane) is created in the Quest environment, and the bridge crane model created in Catia is imported into the appearance of the traveling crane element. The geometric model of the raw material station (Source) is created in the Quest environment, representing the input functional area of the bridge crane. The geometric models of the buffer (Buffer), traveling crane decision points (Decision points), controller (Controller), traveling crane AGV (Crane_AGV), traveling crane path system (AGV_Path_System), unloading station (Sink), and part (part) are created in the same environment.

[0047] For the logical modeling of bridge cranes, after geometric models of each manufacturing resource are available, it is necessary to control and complete the selection and scheduling of the production model. The logic is an abstract description of the decision-making activities of each manufacturing resource of the above-mentioned bridge crane, and is used to describe and define the behaviors and functions of each type of element. Process logic is established in the traveling crane element to control the behavior of parts after they enter the element; output logic is established in the raw material station element to control the output of the production model (parts); queuing logic is established in the buffer element to determine the rules when parts leave the buffer element, and determine logical rules such as first-in-first-out or last-in-first-out; sending logic is established in the traveling crane decision point element to define the movement process of parts between traveling cranes; action logic is established in the traveling crane path system element to determine the rules for how the traveling crane performs actions; request logic is established in the unloading station element to control the input rules of parts.

[0048] Determine the simulation parameters of the bridge crane. The number of raw material station elements is set to 1, the maximum output is 100 parts lifted by the actual overhead crane per day, the output time interval is 10 minutes, the initial part storage is 0, the number of buffer elements is 2, the part storage type is infinite, the number of traveling crane decision point elements is 2, and the movement mode is stop if required; the number of controller elements is 1, and the movement mode is stop if required; the maximum speed of the traveling crane path system is 3 m / s, and the direction is two-way: the stopping space of the traveling crane AGV is 3 m, the speed is 2 m / s, the load speed is 2 m / s, the curve speed is 2 m / s, the rotation speed is 360 degrees / s, the acceleration is 0.5 m / s2, the direction change mode is reverse, and the part storage type is counting: the number of part elements is 10, and the default value is used.

[0049] Determine the relevance of the bridge crane model. To better reflect the interaction behaviors between bridge crane models and fully map the relevance between various mechanisms of the bridge crane, including traveling crane elements, raw material station elements, buffer elements, traveling crane decision point elements, traveling crane path system elements, and unloading station elements, two elements in the model are connected together, and the relevance of the model is determined through the input links and output links of the above-mentioned various elements.

[0050] Description of the process of overhead crane simulation. The process is the general term for all events that occur when parts are processed on an overhead crane. Describe the cycle process of the overhead crane elements, and express the parameters of the speeds, accelerations of the trolley and bridge mechanisms, and the hoisting mechanism speed of the overhead crane; describe the load process of the raw material station elements, describe the process when the raw material station elements load parts, and perform parameter expression; describe the unload process of the unloading station elements, describe the process of removing parts from the elements after the parts are processed; describe the decision process of the overhead crane decision point elements, and perform parametric expression; describe the route process of the overhead crane path system elements.

[0051] Perform simulation output on the overhead crane. By running the simulation in the Quest environment, set the various parameters of the overhead crane, run for 500 s, obtain the simulation report during the specified time operation. Through the analysis of the simulation report, the utilization rate of the overhead crane is only 78%. By changing and optimizing the trolley operation parameters and running the overhead crane again, a new increased utilization rate is obtained.

[0052] The CATIA software is a high-end CAD / CAM software developed by Dassault Aviation of France. The CATIA software enjoys a high reputation in the design fields such as aircraft, automobiles, and ships for its powerful surface design function. The surface modeling function of CATIA is reflected in that it provides extremely rich modeling tools to support the modeling needs of users. For example, its unique high-degree Bezier curve and surface function, the degree can reach 15, which can meet the stringent requirements for surface smoothness in special industries.

[0053] Features:

[0054] The technical solution of the present invention is to model the overhead crane, including two parts: a geometric model and a logical model. Determine the relevance of the geometric model, then describe the process between devices, and finally perform logical modeling. After determining the simulation parameters, perform simulation output, and then perform optimization.

[0055] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A dynamic simulation optimization analysis method for a bridge crane, comprising the following steps: Step A. Geometric modeling of the constituent mechanisms of the bridge crane: Reflect the shape, position, and processing relationship of the physical entity in a static mode, and then add degrees of freedom, its own coordinate system, processing coordinate system, and motion script to the static geometric model to reflect the relative motion of each important device and each component of the bridge crane; Step B. Logical modeling of the bridge crane: The logical modeling is an abstract description of the decision-making activities that occur in each manufacturing resource of the bridge crane, controlling and completing the selection and scheduling functions of the production model; Step C. Determining the simulation parameters of the bridge crane: Input the speeds, accelerations, and operating product time intervals of the trolley traveling mechanism and the crab traveling mechanism of the bridge crane on the parameter interface of the corresponding model; Input the speed, acceleration, and hoisting and lowering product time intervals of the hoisting mechanism on the parameter interface of the corresponding model, so as to determine the simulation parameters of the bridge crane and parametrically express the working speed, working time, equipment failure rate, and product interval of the bridge crane; Step D. Determining the correlation of each mechanism model of the bridge crane: When simulating the bridge crane, it is necessary to further determine the correlation between models, and describe the correlation between elements in the system through links. Links can define an element class or a certain object of an element class; when defining an element class, one or more logics will be used to define the specific elements that the part will turn to; the determination of the correlation fully maps the hierarchical relationship and operation feasibility between each link in the bridge crane mechanism; Step E. Process description of the bridge crane simulation: The process is the general term for all events that occur when parts are processed on the bridge crane. The process is described in the corresponding language. The process is associated with a certain element of the bridge crane, enabling the element to execute this process. The same process can be associated with multiple elements; Step F. Simulation output of the bridge crane: After simulation by the simulation software, optimize and output the simulation results.

2. The dynamic simulation optimization analysis method for a bridge crane according to claim 1, characterized in that: In the said step A, the mechanisms for geometric modeling are the main mechanisms of the bridge crane, including the trolley track, end beam, main hoisting mechanism, auxiliary hoisting mechanism, hoisting trolley, trolley traveling mechanism, and main beam. Geometric modeling is carried out in the CAD module of QUEST. By collecting data on the shape, position, and size of the physical entities of the above mechanisms, the true object shape and geometric parameters of the mechanisms are reflected.

3. The dynamic simulation optimization analysis method for a bridge crane according to claim 1, characterized in that: The logical modeling in the said step B includes: Process logic: mainly used to control the behavior of parts after entering the element, responsible for sending requests to upstream elements and / or obtaining information for processing the parts; Sending logic: defines the movement process of parts and mechanisms between elements; Request logic: used to control the flow of requests between elements under the pull-type production model; Queuing logic: Rules for determining when parts leave the buffer element; When the simulation starts running, logic is established through different modules in the model to form logical modeling. During the process of the model reading various logics, once the corresponding logic is satisfied, the model will execute the operations corresponding to this logic.

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