CN116976014A - Crane design optimization method and system based on performance check - Google Patents
Crane design optimization method and system based on performance check Download PDFInfo
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Abstract
The application discloses a crane design optimization method and system based on performance check, and relates to the technical field of data processing, wherein the method comprises the following steps: constructing a crane performance prediction model, and determining design scheme constraint information based on the existing design scheme of the crane, wherein the constraint information comprises a parameter selection interval of an I-steel rocker arm and a seamless steel pipe upright post; randomly selecting a plurality of crane design schemes, performing digital performance check by using a crane performance prediction model, selecting a crane design scheme with a check result meeting preset conditions as a parent scheme for scheme optimization, obtaining a plurality of derivative crane optimization schemes, performing digital performance check, and obtaining a design scheme with optimal performance check as a crane design optimization scheme. The application solves the technical problem that the design scheme of the transfer column type swing arm crane in the prior art is unreasonable, and achieves the technical effect of optimizing the design scheme of the transfer column type swing arm crane through digital performance checking.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a crane design optimization method and system based on performance check.
Background
The existing crane used in the safety valve checking place is generally in two forms of a common bridge portal crane and a fixed column type rocker crane, the problems that the place requirement is high, the price is high, the checking flow is influenced and the like exist, the newly developed rotary column type rocker crane is used for installing lifting equipment according to the upright post position in a checking factory building, scrapped equipment parts are used as building materials, the defects of the lifting equipment can be well overcome, the existing safety valve checking place is widely met, and the problem that the design scheme of the crane is unreasonable still exists.
Disclosure of Invention
The application provides a crane design optimization method and system based on performance check, which are used for solving the technical problem that the design scheme of a transfer column type swing arm crane in the prior art is unreasonable.
In a first aspect of the present application, there is provided a crane design optimization method based on performance verification, the method comprising: constructing a crane performance prediction model according to crane performance checking record data; determining design scheme constraint information based on the existing design scheme of the crane, wherein the design scheme constraint information comprises a I-steel rocker arm and a parameter selection interval of a seamless steel pipe column; randomly selecting a plurality of crane design schemes from the parameter selection interval, and checking digital performance of the crane design schemes by using the crane performance prediction model to obtain a checking result; based on the checking result, selecting a crane design scheme with the checking result meeting preset conditions as a parent scheme for scheme optimization to obtain a plurality of derivative crane optimization schemes; and carrying out digital performance check on the plurality of derivative crane optimization schemes by using the crane performance prediction model to obtain a design scheme with optimal performance check as a crane design optimization scheme.
In a second aspect of the present application, there is provided a crane design optimization system based on performance verification, the system comprising: the crane performance prediction model construction module is used for constructing a crane performance prediction model according to crane performance check record data; the design scheme constraint information determining module is used for determining design scheme constraint information based on the existing design scheme of the crane, wherein the design scheme constraint information comprises a parameter selection interval of an I-steel rocker arm and a seamless steel pipe upright post; the design scheme performance checking module is used for randomly selecting a plurality of crane design schemes from the parameter selection interval, and performing digital performance checking on the plurality of crane design schemes by utilizing the crane performance prediction model to obtain a checking result; the derivative crane optimization scheme obtaining module is used for selecting a crane design scheme with the checking result meeting preset conditions as a parent scheme for scheme optimization based on the checking result to obtain a plurality of derivative crane optimization schemes; the crane design optimization scheme obtaining module is used for carrying out digital performance check on the plurality of derivative crane optimization schemes by utilizing the crane performance prediction model, and obtaining a design scheme with optimal performance check as a crane design optimization scheme.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the application provides a crane design optimization method based on performance check, which relates to the technical field of data processing, and is characterized in that a crane performance prediction model is constructed, design constraint information is determined based on the existing design scheme of a crane, a plurality of crane design schemes are selected randomly, digital performance check is performed by using the crane performance prediction model, a crane design scheme with a check result meeting preset conditions is selected as a parent scheme for scheme optimization, a plurality of derivative crane optimization schemes are obtained, digital performance check is performed, a design scheme with optimal performance check is obtained and is used as a crane design optimization scheme, the technical problem that the transfer column type rocker crane design scheme is unreasonable in the prior art is solved, and the technical effect of optimizing the transfer column type rocker crane design scheme through digital performance check is realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a crane design optimization method based on performance check provided by the embodiment of the application;
FIG. 2 is a schematic flow chart of a crane performance prediction model constructed in the crane design optimization method based on performance check provided by the embodiment of the application;
FIG. 3 is a schematic flow chart of obtaining a plurality of derivative crane optimization schemes in the crane design optimization method based on performance verification provided by the embodiment of the application;
fig. 4 is a schematic structural diagram of a crane design optimization system based on performance verification according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a crane performance prediction model construction module 11, a design scheme constraint information determination module 12, a design scheme performance check module 13, a derived crane optimization scheme obtaining module 14 and a crane design optimization scheme obtaining module 15.
Detailed Description
The application provides a crane design optimization method based on performance check, which is used for solving the technical problem that the design scheme of a transfer column type rocker arm crane in the prior art is unreasonable.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above-described drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the application provides a crane design optimization method based on performance check, which comprises the following steps:
s100: constructing a crane performance prediction model according to crane performance checking record data;
specifically, performance checking record data of a plurality of groups of rotary column type rocker arm cranes are collected, the performance checking record data are used as construction data, a mechanical calculation formula is combined, a crane performance prediction model is constructed, and the service performance of the crane is predicted by checking the performance of each part of the crane.
Further, as shown in fig. 2, step S100 of the embodiment of the present application further includes:
s110: collecting performance checking record data of the I-steel rocker arm, and constructing a performance checking sub-model of the I-steel rocker arm;
s120: collecting performance checking record data of the seamless steel pipe column, and constructing a seamless steel pipe column performance checking sub-model;
s130: constructing a finite element analysis sub-model to carry out integral stress check on a crane design scheme;
s140: and connecting the I-steel rocker arm performance checking sub-model, the seamless steel pipe column performance checking sub-model and the finite element analysis sub-model through a full connecting layer, and outputting the performance checking results of the I-steel rocker arm performance checking sub-model, the seamless steel pipe column performance checking sub-model and the finite element analysis sub-model as model output results.
Specifically, performance checking record data of the I-steel rocker arm in the performance checking record data of the multi-group rotary column type rocker arm crane are collected, and a mechanical calculation formula is combined to construct a performance checking sub-model of the I-steel rocker arm for checking the performance of the selected I-steel rocker arm. And collecting performance checking record data of the seamless steel pipe column in the performance checking record data of the plurality of groups of rotary column type rocker cranes, and constructing a performance checking sub-model of the seamless steel pipe column by combining a mechanical calculation formula to check the performance of the selected seamless steel pipe column. And constructing a finite element analysis sub-model through finite element analysis software, and carrying out overall stress check on a crane design scheme through the finite element analysis sub-model, wherein the finite element analysis is a method for simulating a real physical system (geometric and load working conditions) by using a mathematical approximation method. And connecting the I-steel rocker arm performance checking sub-model, the seamless steel tube stand column performance checking sub-model and the finite element analysis sub-model to jointly form the crane performance prediction model, and jointly outputting the performance checking results of the I-steel rocker arm performance checking sub-model, the seamless steel tube stand column performance checking sub-model and the finite element analysis sub-model as output results of the crane performance prediction model, so that the performance of each part of the crane can be checked.
Further, step S110 of the embodiment of the present application further includes:
s111: determining a first influence and a second influence according to the connection relation of the I-steel rocker arms, wherein the first influence is the tension of the pull rod, and the second influence is the horizontal force of the I-steel;
s112: acquiring dead weight information of the safety valve and an angle between the pull rod and the cantilever;
s113: based on the mass point stress balance principle, fitting the functional relation of the first influence, the second influence, the dead weight information of the safety valve and the angle between the pull rod and the cantilever, and determining a first influence value and a second influence value;
s114: fitting a rocker arm stability evaluation function and a rocker arm strength evaluation function based on the performance checking record data of the I-steel rocker arm;
s115: according to the first influence value and the second influence value, performing stability evaluation and strength evaluation on the I-steel rocker arm selection parameters through the rocker arm stability evaluation function and the rocker arm strength evaluation function;
s116: and outputting the stability evaluation result and the strength evaluation result as the I-steel rocker arm performance checking result.
Specifically, a hinged relationship is formed between an I-steel rocker arm and a seamless pipe upright post of the rotary column type rocker arm crane, a first influence and a second influence are determined through mechanical calculation according to the connection relationship of the I-steel rocker arm, the first influence is the tension of a pull rod, the pull rod is a member for connecting the far end of the tie I-steel rocker arm with the seamless pipe upright post, and the second influence is the horizontal force of the I-steel. The dead weight information of the target safety valve and the angle between a pull rod and a cantilever of the used rotary column type rocker arm crane are obtained, and the dead weight information is based on the mass point stress balance principle: the balance condition of the mass points is that no stress or the total force is zero, and the functional relation of the first influence, the second influence, the dead weight information of the safety valve and the angle between the pull rod and the cantilever is fitted:the method comprises the steps of carrying out a first treatment on the surface of the Wherein F1 is the pulling force of the pull rod, F2 is the horizontal force of I-steel, θ is the angle between the pull rod and the cantilever, qmax is the dead weight of the safety valve, and the first influence value and the second influence value are calculated according to the functional relation. Based on the performance checking record data of the I-steel rocker arm, namely the performance checking record data of the I-steel rocker arm in the performance checking record data of the plurality of groups of rotary column type rocker arm cranes is collected, and a mechanical calculation formula is combined to fit a rocker arm stability evaluation function: />Is->The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is critical stress->For modulus of elasticity>For the moment of inertia of the section>For maximum swing amplitude of rocker arm->Is rocker arm cross-sectional area->Is the length coefficient, when->When the rocker arm meets the stability requirement. Fitting a rocker arm strength evaluation function: />The method comprises the steps of carrying out a first treatment on the surface of the Wherein->Is the maximum stress>Maximum bending moment>For section modulus, when->When the rocker arm strength meets the design requirement, < >>The bending strength of the I-steel rocker arm is achieved. Constructing the I-steel rocker arm performance checking sub-model by using the rocker arm stability evaluation function and the rocker arm strength evaluation function, and subsequently inputting the first influence value and the second influence value into the I-steel rocker arm performance checking sub-model, and selecting the I-steel rocker arm by using the rocker arm stability evaluation function and the rocker arm strength evaluation functionThe parameters are subjected to stability evaluation and strength evaluation, a stability evaluation result and a strength evaluation result are obtained, and the stability evaluation result and the strength evaluation result are output as I-steel rocker arm performance checking results and can be used for judging whether the I-steel rocker arm design parameter selection meets the requirements.
Further, step S120 of the embodiment of the present application further includes:
s121: determining a risk stress area and a risk operation state according to the performance check record data of the seamless steel tube upright post;
s122: fitting a column strength check evaluation function based on the stress relation of the risk stress region and the performance check record data of the seamless steel tube column;
s123: and performing strength evaluation on the risk stress area and the risk operation state on the selected parameters of the seamless steel pipe upright based on the upright strength checking evaluation function to obtain a seamless steel pipe upright performance checking result.
Specifically, performance checking record data of seamless steel tube columns in performance checking record data of a plurality of groups of rotary column type rocker arm cranes are collected, a plurality of groups of risk stress areas and risk operation states are determined, wherein the risk stress areas are areas with the largest concentrated force, namely the most dangerous nodes or the most dangerous sections, and because two ends of the columns are hinged, the sizes of the columns are obtained, stress analysis is carried out, the most dangerous sections are junctions of the rocker arms and the columns, and the positions of the junctions are calculated. The risk operation state is to judge whether the maximum stress intensity born by the stand column is within the bending strength range of the selected seamless steel tube, based on the stress relation of the risk stress area, the stand column strength checking evaluation function is fitted by combining the performance checking record data of the stand column of the seamless steel tube and a mechanical calculation formula:the method comprises the steps of carrying out a first treatment on the surface of the Wherein->For the maximum stress value the column is subjected to, +.>When the maximum lifting weight is at the maximum rotation amplitude, the bending moment of the part is +.>For the modulus of the bending section of the upright column, < >>，/>Is a seamless steel pipe with diameter%>For correction factor +.>Is the sectional area of the upright post,is the dead weight of the I-shaped steel rocker arm, when->When the strength of the seamless steel tube stand column meets the design requirement, the steel tube stand column is in a +.>And (3) for the bending strength of the seamless steel pipe column, constructing a seamless steel pipe column performance checking sub-model by using the column strength checking evaluation function, inputting the selection parameters of the seamless steel pipe column into the seamless steel pipe column performance checking sub-model, and calculating and evaluating the strength of a risk stress area and a risk operation state by using the column strength checking evaluation function, thereby being used as a seamless steel pipe column performance checking result and being used for judging whether the selection parameters of the seamless steel pipe column meet the requirements.
Further, step S130 of the embodiment of the present application further includes:
s131: setting material information and crane guy cable information of a crane, and carrying out grid division on a crane stress structural member;
carrying out force application deformation and stress calculation on each grid based on the material information of the crane and the crane guy cable information to obtain a mechanical analysis result;
s132: converting the mechanical analysis result into a color cloud picture by using a preset display tool for display;
s133: performing traversal comparison according to the color cloud chart display result and the preset deformation early warning color and the preset stress early warning color, and generating an overall stress checking result according to the traversal result.
Specifically, a finite element analysis sub-model is constructed through finite element analysis software, and the whole stress of the crane design scheme is checked through the finite element analysis sub-model, wherein the finite element analysis is a method for simulating a real physical system (geometric and load working conditions) by using a mathematical approximation method. The whole crane is subjected to finite element analysis by using workbench software, wherein the workbench software is visual database design software, material information of the crane and crane guy cable information are set, for example, a material given to the crane is a common carbon steel material, and the guy cable is a steel wire rope guy cable. Modeling a main stress structural member of the crane and carrying out grid division on the main stress structural member, wherein the grid division is to divide the stress structural member into a plurality of stress areas. And applying constraint and force to the model by using software, solving the deformation condition and the stress condition of each part of the model by combining the material information of the crane and the information parameters of the crane guy cable, namely performing mechanical analysis to obtain a mechanical analysis result, converting the mechanical analysis result into a color cloud picture by using a preset display tool of the software for display, and displaying the mechanical analysis result through the color cloud picture, wherein the redder color represents larger stress or deformation, and the bluer color represents smaller stress or deformation. And performing traversal comparison on the color cloud chart display result and a preset deformation early warning color and a preset stress early warning color, wherein the preset deformation early warning color and the preset stress early warning color are display colors when deformation or stress exceeds a threshold value, judging whether the position with the largest deformation or the position with the largest stress exceeds the deformation and stress threshold value or not, taking the positions with the largest deformation or the position with the largest stress as traversal results, and generating an integral stress checking result of the crane according to the traversal results, wherein the integral stress checking result can display the integral stress and deformation condition of the crane.
S200: determining design scheme constraint information based on the existing design scheme of the crane, wherein the design scheme constraint information comprises a I-steel rocker arm and a parameter selection interval of a seamless steel pipe column;
specifically, a plurality of generated crane design schemes are collected, design scheme constraint information is determined according to parameter values of crane components in each design scheme, the design scheme constraint information is a parameter selection range of each component of the crane, the parameter selection range comprises selection intervals of parameters such as steel strength, model, section area, height and connection angle of an I-steel rocker arm and a seamless steel pipe column, and the parameter selection interval can be used as a parameter value interval for generating a plurality of crane design schemes.
S300: randomly selecting a plurality of crane design schemes from the parameter selection interval, and checking digital performance of the crane design schemes by using the crane performance prediction model to obtain a checking result;
specifically, a plurality of groups of parameter combinations are randomly selected from the parameter selection interval to obtain a plurality of crane designs, component parameters of the plurality of crane designs are input into the crane performance prediction model, the crane performance prediction model performs digital performance check on the plurality of crane designs to obtain I-steel rocker arm performance check results, seamless steel pipe stand column performance check results and overall stress performance check results of the plurality of crane designs, and the I-steel rocker arm performance check results, the seamless steel pipe stand column performance check results and the overall stress performance check results are used as check results of the plurality of crane designs and can be used for optimizing the design schemes.
S400: based on the checking result, selecting a crane design scheme with the checking result meeting preset conditions as a parent scheme for scheme optimization to obtain a plurality of derivative crane optimization schemes;
specifically, from the checking result, selecting a crane design scheme with the checking result meeting a preset condition as a parent scheme for scheme optimization, wherein the preset condition is set according to the checking place condition of the safety valve to be checked and the requirement of a customer, the parent scheme is a primary scheme, and a plurality of derivative crane optimization schemes are obtained by extending component parameters of the primary scheme.
Further, as shown in fig. 3, step S400 of the embodiment of the present application further includes:
s410: setting the number of parent generations, and selecting a crane design scheme from high to low according to a checking result based on the number of parent generations to obtain the parent generation scheme;
s420: setting a deriving step length of each parent generation scheme based on the parent generation scheme, wherein the deriving step length is a maximum threshold value of parent generation scheme diffraction, and the parent generation scheme is arbitrarily derived within the range of the deriving step length;
s430: acquiring a first generation derivative crane design scheme, checking digital performance by using a crane performance prediction model, selecting a crane design scheme with an optimal checking result as a first generation optimal scheme, clustering all the first generation derivative crane design schemes based on the first generation optimal scheme, and determining clustered crane design schemes and deviation design schemes;
s440: adding the clustered crane design scheme into a tabu scheme table, setting a derivative step length by using the deviation design scheme, performing second generation derivative, and the like until a preset derivative algebra is met;
s450: and obtaining the plurality of derivative crane optimization schemes based on each generation of the optimal schemes.
Specifically, based on the quality of each design scheme in the checking result, setting a parent algebra quantity, namely the number of parent algebra schemes, according to the quality difference of the design scheme checking result, selecting the crane design schemes conforming to the number of the parent algebra from high to low to obtain the parent algebra scheme, setting different derivative step sizes for each parent algebra scheme based on the parent algebra scheme, wherein the derivative step sizes are maximum diffraction thresholds of the parent algebra scheme, namely the maximum adjustable parameter ranges of each component in the scheme, performing arbitrary derivatization on the parent algebra scheme in the corresponding derivative step size ranges to obtain a plurality of derivative crane design schemes, performing digital performance checking on the plurality of derivative crane design schemes by using crane performance prediction models to obtain the performance checking result of the plurality of derivative crane design schemes, selecting the crane design scheme with the best performance checking result as the best generation scheme, clustering all the derivative crane design schemes with the best generation scheme as the best generation scheme, and determining a plurality of the best generation derivative crane with the best generation scheme as the clustering center, and the best generation of the best generation design schemes deviating from the best generation design scheme. And adding the clustered crane design scheme into a tabu scheme table, namely stopping the derivation of the design scheme similar to the first-generation optimal scheme so as to ensure the comprehensiveness of solution sets. Setting corresponding derivation step length for the deviation design scheme, performing second generation derivation and second generation optimal scheme selection, and so on until reaching a preset derivation algebra, and stopping derivation. And selecting the optimal scheme of each generation of derivative as the optimal scheme of the plurality of derivative cranes, and selecting the optimal space for the subsequent crane design optimization scheme.
S500: and carrying out digital performance check on the plurality of derivative crane optimization schemes by using the crane performance prediction model to obtain a design scheme with optimal performance check as a crane design optimization scheme.
Specifically, component parameters of the plurality of derivative crane optimization schemes are respectively input into the crane performance prediction model, digital performance check is carried out, performance check results of the plurality of derivative crane optimization schemes are obtained, and the derivative crane optimization scheme with the optimal performance check results is screened out, so that the service performance of the rotary column type rocker arm crane can be improved as a crane design optimization scheme.
Further, the embodiment of the present application further includes step S600, where step S600 further includes:
s610: decomposing components of the crane to obtain crane component decomposition information;
s620: carrying out structural constraint conditions and stress analysis on each crane component based on the crane component decomposition information to obtain component structural constraint conditions and component stress ranges;
s630: determining the latitude of each crane component according to the component structure constraint condition and the component stress range;
s640: selecting rough selection components according to the tolerance of each crane component;
s650: obtaining a preset recovered material index library, and performing traversal comparison by utilizing the stress range of the components of the roughing components and the preset recovered material index library to determine matching recovered materials for roughing component design.
Specifically, component decomposition analysis is performed on the rotary column type rocker arm crane, main components of the rotary column type rocker arm crane are an upright column and a rocker arm, in addition, auxiliary components such as a rotary support and a fixed shaft are used as component decomposition information of the rotary column type rocker arm crane, structural constraint condition analysis and component stress analysis are performed on each crane component based on the component decomposition information of the crane by combining a mechanical calculation principle to obtain structural constraint conditions and component stress ranges of each component, the component stress ranges are stress ranges required to be born by each component of the crane, the tolerance of each crane component is determined according to the structural constraint conditions and the component stress ranges of the components, the tolerance of each crane component is a component bearing capacity adjustable range, namely a component parameter selectable range, a roughing component is selected according to the tolerance of each crane component, and the roughing component is a part adopting other scrapping equipment as a crane component. According to component parameters of the rocker arm type crane and component parameters of a plurality of scrapped equipment, a recycled material index library is preset, an scrapped automobile component is used for an exemplary rotating support, a scrapped automobile rear axle half shaft is used at an upper opening, the upper part of the half shaft is connected with an inner stand bracket of a factory building through a flange plate to play a role of fixing the half shaft, a fixed chuck is sleeved at the lower end part of the half shaft inserted into a seamless pipe, the outer diameter of the chuck is in clearance fit with the inner diameter of the seamless pipe, a bearing role is played when a rotating column rotates, the lower opening of the seamless pipe of the crane column is connected with a hub of the scrapped automobile through the flange plate, and the hub plays a role of a bearing support. And traversing and optimizing the component stress range of the roughing component in the preset recovered material index library, and selecting the part of the scrapping equipment closest to the component stress range of the roughing component as a matched recovered material so as to complete the design and selection of the roughing component, thereby achieving the purposes of recovering the scrapped material and saving the cost.
In summary, the embodiment of the application has at least the following technical effects:
according to the application, a crane performance prediction model is constructed, and design scheme constraint information is determined based on the existing design scheme of the crane, wherein the constraint information comprises a I-steel rocker arm and a parameter selection interval of a seamless steel pipe column; randomly selecting a plurality of crane design schemes, performing digital performance check by using a crane performance prediction model, selecting a crane design scheme with a check result meeting preset conditions as a parent scheme for scheme optimization, obtaining a plurality of derivative crane optimization schemes, performing digital performance check, and obtaining a design scheme with optimal performance check as a crane design optimization scheme.
The technical effect of optimizing the design scheme of the rotary column type rocker arm crane through digital performance checking is achieved.
Example two
Based on the same inventive concept as the crane design optimization method based on performance verification in the foregoing embodiment, as shown in fig. 4, the present application provides a crane design optimization system based on performance verification, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
the crane performance prediction model construction module 11 is used for constructing a crane performance prediction model according to crane performance check record data;
the design scheme constraint information determining module 12 is used for determining design scheme constraint information based on the existing design scheme of the crane, wherein the design scheme constraint information comprises a parameter selection interval of an I-steel rocker arm and a seamless steel pipe upright post;
the design scheme performance checking module 13 is used for randomly selecting a plurality of crane design schemes from the parameter selection interval, and performing digital performance checking on the plurality of crane design schemes by utilizing the crane performance prediction model to obtain a checking result;
the derivative crane optimization scheme obtaining module 14 is used for selecting a crane design scheme with a checking result meeting a preset condition as a parent scheme for scheme optimization based on the checking result, so as to obtain a plurality of derivative crane optimization schemes;
the crane design optimization scheme obtaining module 15, where the crane design optimization scheme obtaining module 15 is configured to perform digital performance check on the plurality of derivative crane optimization schemes by using the crane performance prediction model, and obtain a design scheme with optimal performance check as a crane design optimization scheme.
Further, the crane performance prediction model construction module 11 is further configured to perform the following steps:
collecting performance checking record data of the I-steel rocker arm, and constructing a performance checking sub-model of the I-steel rocker arm;
collecting performance checking record data of the seamless steel pipe column, and constructing a seamless steel pipe column performance checking sub-model;
constructing a finite element analysis sub-model to carry out integral stress check on a crane design scheme;
and connecting the I-steel rocker arm performance checking sub-model, the seamless steel pipe column performance checking sub-model and the finite element analysis sub-model through a full connecting layer, and outputting the performance checking results of the I-steel rocker arm performance checking sub-model, the seamless steel pipe column performance checking sub-model and the finite element analysis sub-model as model output results.
Further, the crane performance prediction model construction module 11 is further configured to perform the following steps:
determining a first influence and a second influence according to the connection relation of the I-steel rocker arms, wherein the first influence is the tension of the pull rod, and the second influence is the horizontal force of the I-steel;
acquiring dead weight information of the safety valve and an angle between the pull rod and the cantilever;
based on the mass point stress balance principle, fitting the functional relation of the first influence, the second influence, the dead weight information of the safety valve and the angle between the pull rod and the cantilever, and determining a first influence value and a second influence value;
fitting a rocker arm stability evaluation function and a rocker arm strength evaluation function based on the performance checking record data of the I-steel rocker arm;
according to the first influence value and the second influence value, performing stability evaluation and strength evaluation on the I-steel rocker arm selection parameters through the rocker arm stability evaluation function and the rocker arm strength evaluation function;
and outputting the stability evaluation result and the strength evaluation result as the I-steel rocker arm performance checking result.
Further, the crane performance prediction model construction module 11 is further configured to perform the following steps:
determining a risk stress area and a risk operation state according to the performance check record data of the seamless steel tube upright post;
fitting a column strength check evaluation function based on the stress relation of the risk stress region and the performance check record data of the seamless steel tube column;
and performing strength evaluation on the risk stress area and the risk operation state on the selected parameters of the seamless steel pipe upright based on the upright strength checking evaluation function to obtain a seamless steel pipe upright performance checking result.
Further, the crane performance prediction model construction module 11 is further configured to perform the following steps:
setting material information and crane guy cable information of a crane, and carrying out grid division on a crane stress structural member;
carrying out force application deformation and stress calculation on each grid based on the material information of the crane and the crane guy cable information to obtain a mechanical analysis result;
converting the mechanical analysis result into a color cloud picture by using a preset display tool for display;
performing traversal comparison according to the color cloud chart display result and the preset deformation early warning color and the preset stress early warning color, and generating an overall stress checking result according to the traversal result.
Further, the derived crane optimization scheme obtaining module 14 is further configured to perform the following steps:
setting the number of parent generations, and selecting a crane design scheme from high to low according to a checking result based on the number of parent generations to obtain the parent generation scheme;
setting a deriving step length of each parent generation scheme based on the parent generation scheme, wherein the deriving step length is a maximum threshold value of parent generation scheme diffraction, and the parent generation scheme is arbitrarily derived within the range of the deriving step length;
acquiring a first generation derivative crane design scheme, checking digital performance by using a crane performance prediction model, selecting a crane design scheme with an optimal checking result as a first generation optimal scheme, clustering all the first generation derivative crane design schemes based on the first generation optimal scheme, and determining clustered crane design schemes and deviation design schemes;
adding the clustered crane design scheme into a tabu scheme table, setting a derivative step length by using the deviation design scheme, performing second generation derivative, and the like until a preset derivative algebra is met;
and obtaining the plurality of derivative crane optimization schemes based on each generation of the optimal schemes.
Further, the derived crane optimization scheme obtaining module 14 is further configured to perform the following steps:
further, the system further comprises:
the component decomposition information acquisition module is used for decomposing the components of the crane to acquire crane component decomposition information;
the component structure constraint condition obtaining module is used for carrying out structural constraint condition and stress analysis on each crane component based on the crane component decomposition information to obtain component structure constraint conditions and component stress ranges;
the component tolerance determining module is used for determining the tolerance of each crane component according to the component structure constraint condition and the component stress range;
the roughing component selection module is used for selecting roughing components according to the latitude of each crane component;
the roughing component design module is used for obtaining a preset recovered material index library, performing traversal comparison on the stress range of the components of the roughing component and the preset recovered material index library, and determining to match the recovered materials to perform roughing component design.
It should be noted that the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the application are intended to be included within the scope of the application.
The specification and figures are merely exemplary illustrations of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (8)
1. The crane design optimization method based on performance check is characterized by comprising the following steps:
constructing a crane performance prediction model according to crane performance checking record data;
determining design scheme constraint information based on the existing design scheme of the crane, wherein the design scheme constraint information comprises a I-steel rocker arm and a parameter selection interval of a seamless steel pipe column;
randomly selecting a plurality of crane design schemes from the parameter selection interval, and checking digital performance of the crane design schemes by using the crane performance prediction model to obtain a checking result;
based on the checking result, selecting a crane design scheme with the checking result meeting preset conditions as a parent scheme for scheme optimization to obtain a plurality of derivative crane optimization schemes;
and carrying out digital performance check on the plurality of derivative crane optimization schemes by using the crane performance prediction model to obtain a design scheme with optimal performance check as a crane design optimization scheme.
2. The method of claim 1, wherein constructing a crane performance prediction model from crane performance check record data comprises:
collecting performance checking record data of the I-steel rocker arm, and constructing a performance checking sub-model of the I-steel rocker arm;
collecting performance checking record data of the seamless steel pipe column, and constructing a seamless steel pipe column performance checking sub-model;
constructing a finite element analysis sub-model to carry out integral stress check on a crane design scheme;
and connecting the I-steel rocker arm performance checking sub-model, the seamless steel pipe column performance checking sub-model and the finite element analysis sub-model through a full connecting layer, and outputting the performance checking results of the I-steel rocker arm performance checking sub-model, the seamless steel pipe column performance checking sub-model and the finite element analysis sub-model as model output results.
3. The method of claim 2, wherein the step of collecting the performance check record data of the i-beam rocker arm and constructing the i-beam rocker arm performance check sub-model comprises the steps of:
determining a first influence and a second influence according to the connection relation of the I-steel rocker arms, wherein the first influence is the tension of the pull rod, and the second influence is the horizontal force of the I-steel;
acquiring dead weight information of the safety valve and an angle between the pull rod and the cantilever;
based on the mass point stress balance principle, fitting the functional relation of the first influence, the second influence, the dead weight information of the safety valve and the angle between the pull rod and the cantilever, and determining a first influence value and a second influence value;
fitting a rocker arm stability evaluation function and a rocker arm strength evaluation function based on the performance checking record data of the I-steel rocker arm;
according to the first influence value and the second influence value, performing stability evaluation and strength evaluation on the I-steel rocker arm selection parameters through the rocker arm stability evaluation function and the rocker arm strength evaluation function;
and outputting the stability evaluation result and the strength evaluation result as the I-steel rocker arm performance checking result.
4. The method of claim 2, wherein the collecting the performance check record data of the seamless steel pipe column and constructing the performance check sub-model of the seamless steel pipe column comprises:
determining a risk stress area and a risk operation state according to the performance check record data of the seamless steel tube upright post;
fitting a column strength check evaluation function based on the stress relation of the risk stress region and the performance check record data of the seamless steel tube column;
and performing strength evaluation on the risk stress area and the risk operation state on the selected parameters of the seamless steel pipe upright based on the upright strength checking evaluation function to obtain a seamless steel pipe upright performance checking result.
5. The method of claim 2, wherein constructing the finite element analysis sub-model for integral force verification of the crane design comprises:
setting material information and crane guy cable information of a crane, and carrying out grid division on a crane stress structural member;
carrying out force application deformation and stress calculation on each grid based on the material information of the crane and the crane guy cable information to obtain a mechanical analysis result;
converting the mechanical analysis result into a color cloud picture by using a preset display tool for display;
performing traversal comparison according to the color cloud chart display result and the preset deformation early warning color and the preset stress early warning color, and generating an overall stress checking result according to the traversal result.
6. The method of claim 1, wherein based on the check result, selecting a crane design scheme for which the check result satisfies a preset condition as a parent scheme for scheme optimization, obtaining a plurality of derivative crane optimization schemes, comprises:
setting the number of parent generations, and selecting a crane design scheme from high to low according to a checking result based on the number of parent generations to obtain the parent generation scheme;
setting a deriving step length of each parent generation scheme based on the parent generation scheme, wherein the deriving step length is a maximum threshold value of parent generation scheme diffraction, and the parent generation scheme is arbitrarily derived within the range of the deriving step length;
acquiring a first generation derivative crane design scheme, checking digital performance by using a crane performance prediction model, selecting a crane design scheme with an optimal checking result as a first generation optimal scheme, clustering all the first generation derivative crane design schemes based on the first generation optimal scheme, and determining clustered crane design schemes and deviation design schemes;
adding the clustered crane design scheme into a tabu scheme table, setting a derivative step length by using the deviation design scheme, performing second generation derivative, and so on until a preset derivative algebra is met;
and obtaining the plurality of derivative crane optimization schemes based on each generation of the optimal schemes.
7. The method as recited in claim 1, further comprising:
decomposing components of the crane to obtain crane component decomposition information;
carrying out structural constraint conditions and stress analysis on each crane component based on the crane component decomposition information to obtain component structural constraint conditions and component stress ranges;
determining the latitude of each crane component according to the component structure constraint condition and the component stress range;
selecting rough selection components according to the tolerance of each crane component;
obtaining a preset recovered material index library, and performing traversal comparison by utilizing the stress range of the components of the roughing components and the preset recovered material index library to determine matching recovered materials for roughing component design.
8. Crane design optimization system based on performance verification, characterized in that the system comprises:
the crane performance prediction model construction module is used for constructing a crane performance prediction model according to crane performance check record data;
the design scheme constraint information determining module is used for determining design scheme constraint information based on the existing design scheme of the crane, wherein the design scheme constraint information comprises a parameter selection interval of an I-steel rocker arm and a seamless steel pipe upright post;
the design scheme performance checking module is used for randomly selecting a plurality of crane design schemes from the parameter selection interval, and performing digital performance checking on the plurality of crane design schemes by utilizing the crane performance prediction model to obtain a checking result;
the derivative crane optimization scheme obtaining module is used for selecting a crane design scheme with the checking result meeting preset conditions as a parent scheme for scheme optimization based on the checking result to obtain a plurality of derivative crane optimization schemes;
the crane design optimization scheme obtaining module is used for carrying out digital performance check on the plurality of derivative crane optimization schemes by utilizing the crane performance prediction model, and obtaining a design scheme with optimal performance check as a crane design optimization scheme.
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