CN103593713A - Method and system for pressure analog prediction - Google Patents
Method and system for pressure analog prediction Download PDFInfo
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- CN103593713A CN103593713A CN201310563137.3A CN201310563137A CN103593713A CN 103593713 A CN103593713 A CN 103593713A CN 201310563137 A CN201310563137 A CN 201310563137A CN 103593713 A CN103593713 A CN 103593713A
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Abstract
The invention discloses a method and system for pressure analog prediction. The method for pressure analog prediction comprises the steps that before operation is conducted, an operation work condition information set of an engineering machine is obtained; analog computation analysis is conducted based on the operation work condition information set, and pressure borne by each supporting component of an engineering machine chassis is determined; according to the pressure borne by the supporting components of the engineering machine chassis, whether the ground where the engineering machine is located satisfies the construction requirement or not is predicated and a predication result is output. Before formal operation is conducted, whether the ground pressure can satisfy the hoisting requirement or not can be assessed according to the relevant operation work condition information set. Further, actual operation of a hoist is not needed and a result can be given. Further, the analysis result can be used so that the improvement can be conducted, and therefore the ground pressure can satisfy the operation requirement. According to the method and system for pressure analog prediction, rollover accidents, caused by ground collapse, of the hoist are well avoided when the hoist conduct hoisting operation.
Description
Technical field
The present invention relates to engineering machinery field, particularly a kind of pressure simulation Forecasting Methodology and system.
Background technology
When lifting work, there is sinking of ground in hoisting device, support component tilts, the accident that hoisting device is tumbled sometimes.This is serious potential safety hazard, for the construction of hoisting device, should make great efforts to avoid.Similarly, for other heavy engineering plant equipment, also there is similar phenomenon to occur.
Therefore,, for engineering mechanical device, the generation of the phenomenon of how avoiding tumbling, is those skilled in the art's technical issues that need to address.
Summary of the invention
In view of this, the present invention proposes a kind of pressure simulation Forecasting Methodology, to prevent such as engineering mechanical devices such as hoisting devices when entering to construct, the overthrow accident occurring due to surface collapse.
First aspect, the invention discloses a kind of pressure simulation Forecasting Methodology, comprises the steps: information gathering procedure, before operation, obtains the working condition information set of engineering machinery; Computational analysis step, carries out analog computation analysis based on described working condition information set, determines the pressure that each support component of described engineering machinery chassis bears; Prediction steps, the pressure bearing according to described chassis support component, can the ground at predictive engine machinery place meet construction requirement, and prediction of output result.
Further, in above-mentioned pressure simulation Forecasting Methodology, described engineering machinery is hoisting device; In described information gathering procedure, described working condition information set comprises following parameter: crane vehicle, arm operating mode, large arm lengths, large arm angle, terrestrial information, angle of revolution, supporting leg operating mode, counterweight operating mode and lift heavy amount.
Further, in the described computational analysis step of above-mentioned pressure simulation Forecasting Methodology, by the mode of mathematical modeling, determine the pressure that each support component of engineering machinery chassis bears.
Further, the described prediction steps of above-mentioned pressure simulation Forecasting Methodology further comprises: the relation between the maximum pressure that the pressure ground region corresponding with this support component that relatively each support component bears respectively can bear; If the pressure that each support component bears is all less than the maximum pressure that its place ground region can bear, the ground at engineering machinery place can meet construction requirement; If the pressure that wherein has a support component to bear is greater than the maximum pressure that its place ground region can bear, the ground at engineering machinery place can not meet construction requirement, sends the warning of hazardous location.
Further, in the described prediction steps in above-mentioned pressure simulation Forecasting Methodology, described in predict the outcome as numerical value, image or sound.
Pressure simulation Forecasting Methodology of the present invention, just can be by relevant working condition information before not carrying out formal operation, and whether assessment geostatic pressure meets lifting requirements, does not need crane facility to carry out actual action, just can provide result.And, can also utilize analysis result, improve conversely, make geostatic pressure meet job requirements.The hoisting device overthrow accident causing due to surface collapse when therefore, the present invention can better prevent that crane from lifting work.
Second aspect, the invention also discloses a kind of pressure simulation prognoses system, comprising: information module, computation analysis module and prediction module.Wherein, information module, for before operation, is obtained the working condition information set of engineering machinery; Computation analysis module, for carrying out analog computation analysis based on described working condition information set, is determined the pressure that each support component of described engineering machinery chassis bears; The pressure of prediction module for bearing according to described chassis support component, can the ground at predictive engine machinery place meet construction requirement, and prediction of output result.
Further, in above-mentioned simulation and forecast system, described engineering machinery is hoisting device; In described information module, described working condition information set comprises following parameter: crane vehicle, arm operating mode, large arm lengths, large arm angle, terrestrial information, angle of revolution, supporting leg operating mode, counterweight operating mode and lift heavy amount.
Further, in the described computation analysis module of above-mentioned simulation and forecast system, by the mode of mathematical modeling, determine the pressure that each support component of described crane chassis bears.
Further, the described prediction module of above-mentioned simulation and forecast system is further used for: the relation between the maximum pressure that the pressure ground region corresponding with this support component that relatively each support component bears respectively can bear; If the pressure that each support component bears is all less than the maximum pressure that its place ground region can bear, the ground at engineering machinery place can meet construction requirement; If the pressure that wherein has a support component to bear is greater than the maximum pressure that its place ground region can bear, the ground at engineering machinery place can not meet construction requirement, sends the warning of hazardous location.
Further, in the described prediction module of above-mentioned simulation and forecast system, described in predict the outcome as numerical value, image or sound.
Pressure simulation prognoses system of the present invention, just can be by relevant working condition information before not carrying out formal operation, and whether assessment geostatic pressure meets lifting requirements, does not need crane facility to carry out actual action, just can provide result.And, can also utilize analysis result, improve conversely, make geostatic pressure meet job requirements.The hoisting device overthrow accident causing due to surface collapse when therefore, the present invention can better prevent that crane from lifting work.
Accompanying drawing explanation
The accompanying drawing that forms a part of the present invention is used to provide a further understanding of the present invention, and schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of steps of pressure simulation Forecasting Methodology embodiment of the present invention;
Fig. 2 is the fundamental diagram of pressure simulation Forecasting Methodology of the present invention;
Fig. 3 is the structured flowchart of pressure simulation prognoses system embodiment of the present invention.
Embodiment
It should be noted that, in the situation that not conflicting, embodiment and the feature in embodiment in the present invention can combine mutually.Describe below with reference to the accompanying drawings and in conjunction with the embodiments the present invention in detail.
Generation for overthrow accident, one of them reason that the present invention determines is: complete machine weight and suspended object weight are born general pressure by chassis support component (supporting leg, tire, crawler belt etc.), support component can produce pressure to ground, and this pressure will be directly born on ground.If this pressure is excessive, will sink in ground, and support component will tilt, thereby cause hoisting device generation overthrow accident.
Therefore, for solution, tumbling for problem, determine in advance the pressure that bear on ground, then judge the possibility of safe construction, is a kind of approach of dealing with problems.
With reference to Fig. 1, Fig. 1 is the flow chart of steps of pressure simulation Forecasting Methodology embodiment, and this embodiment comprises the steps:
Information gathering procedure S110, before crane job, obtains this crane job work information collection;
Computational analysis step S120, carries out analog computation analysis based on working condition information set, determines the pressure that each support component of crane chassis bears;
Prediction steps S130, the pressure bearing according to chassis support component, can the ground at prediction crane place meet lifting requirements, and prediction of output result.
Preferably, in information gathering procedure S110, working condition information set can comprise following parameter: crane vehicle, arm operating mode, large arm lengths, large arm angle, terrestrial information, angle of revolution, supporting leg operating mode, counterweight operating mode and lift heavy amount.Certainly the helpful information of pressure that can bear estimation each support portion of crane chassis, also can comprise other information, as long as can gather and obtain.The parameter of working condition information set can be certain concrete numerical value or state, can be also numerical range or state range.
Preferably, in computational analysis step S120, can adopt the mode of mathematical modeling, by certain Mathematical Modeling Methods, crane facility be carried out to mathematical modeling, and then, determine the pressure that each support component of crane chassis bears.The modeling method of crane facility can adopt the modeling of forward mathematical derivation, also can adopt reverse data fitting modeling.
The method of mathematical modeling is a lot, and for example, take each parts center of gravity is basic parameter, calculates each support component pressure.The a certain basic status of car load is divided into several submodules by parts, to solve each submodule center of gravity.Each submodule need to comprise the structural member of itself and be arranged on the element on structural member, so just can pass through easily Three-dimensional Design Software, calculates the center of gravity of each submodule.The center of gravity of other duty and basic status contrast, being simple position moves, can calculate according to duty delta data, so just can calculate the center of gravity of each parts of all states, and then calculate the pressure of complete machine to support component by simple mechanical balance and superposition principle.
Can according to actual operating mode, determine the method for mathematical modeling, the present invention does not do careful explanation at this.Because in the face of a concrete operating mode, for a person skilled in the art, rule of thumb, just can select the reckoning that suitable mathematical model is carried out the pressure that support component bears.
Preferably, the relation between the maximum pressure that prediction steps S130 further comprises the steps: respectively to bear in pressure that relatively each support component bears and ground, crane place; If the pressure that each support component bears is all less than the maximum pressure that ground, crane place can be born, the ground at crane place can meet lifting requirements; If the pressure that wherein has a support component to bear is greater than the maximum pressure that ground, crane place can be born, the ground at crane place can not meet lifting requirements, sends the warning of hazardous location.Actual situation may be that the earth construction at each support component place of crane is identical, or the earth construction at each support component place of crane is not quite similar.The magnitude relationship in the pressure that at this moment, bear according to different support components and the region at this support component place is judged.
And wherein, in prediction steps S130, predicting the outcome can be numerical value, image or sound, or other informations.
With reference to Fig. 2, Fig. 2 is the schematic diagram of pressure simulation Forecasting Methodology of the present invention.
Pressure simulation Forecasting Methodology of the present invention is based on three aspects:
One, obtaining of work information, obtains crane job work information collection, comprises heavy-duty machine vehicle, arm operating mode, large arm lengths, large arm angle, terrestrial information, angle of revolution, supporting leg operating mode, counterweight operating mode and lift heavy amount.Main working condition and the operate outside place situation of being responsible for crane facility described and gathered;
Its two, the prediction of support component simulated pressure, carries out analog computation analysis based on working condition information set, determines the pressure that each support component of crane chassis bears; ; by certain Mathematical Modeling Methods, crane facility is carried out to mathematical modeling, according to the mathematical model of the corresponding crane type of the work information obtaining, carry out analog computation and analysis; obtain the pressure that each support unit bears, and then definite hazardous location and other information etc.
The output three, predicting the outcome, is mainly to obtain to predict the outcome, and analysis result is shown to staff with various forms intuitively
More particularly, before crane carries out formal operation, first collect job information collection, as suspended object weight, required brachium, amplitude, angle of revolution, supporting leg operating mode, counterweight operating mode, terrestrial information and other information etc., then relevant information is input to simulation and forecast system, system, by according to the information of input, is calculated supporting leg dish pressure.When if the force value that wherein force value of some supporting leg dishes can be born than ground is large, illustrate that operation is in this state dangerous, may produce surface collapse, must take necessary measure.If the force value hour that the force value of all supporting leg dishes can be born than ground, illustrates that operation is in this state safe.Final system provides geostatic pressure with the form of chart and data, dangerous working condition region, and the analysis result such as other information.Whether the pressure that like this, just can assess in advance this ground meets the demands.
For example, the wheel crane of take is example under certain state, and obtaining of work information comprises: type (QY50), arm operating mode (principal arm main hook), large arm lengths (15m), large arm angle (60 °), angle of revolution (90 °), supporting leg operating mode (supporting leg is stretched entirely), counterweight operating mode (standard counterweight), lift heavy amount (10T).
After having obtained these essential informations, can calculate under this operating mode all supporting leg dish force value.The pressure of supposing four supporting legs is respectively: a, b, c, d, the pressure that ground can be born is e.If e>a and e>b and e>c and e>d, ground loading capacity is enough so, under this state, is safe.If e<a or e<b or e<c or e<d, ground loading capacity is not enough so, is dangerous under this state.System will show at these Output rusults, and provide analysis conclusion.
In the present embodiment, pressure simulation Forecasting Methodology, just can be by relevant working condition information before not carrying out formal operation, and whether assessment geostatic pressure meets lifting requirements.Do not need crane facility to carry out actual action, just can provide result.And, can also utilize analysis result, improve conversely, make geostatic pressure meet job requirements.Therefore the hoisting device overthrow accident causing due to surface collapse in the time of, can better preventing that crane from lifting work.
Second aspect, the invention also discloses a kind of pressure simulation prognoses system embodiment, with reference to Fig. 3.
In the present embodiment, pressure simulation prognoses system comprises: information module 31, computation analysis module 32 and prediction module 33.Wherein, information module 31, for before crane job, is obtained this crane job work information collection; Computation analysis module 32, for carrying out analog computation analysis based on working condition information set, is determined the pressure that each support component of crane chassis bears; The pressure of prediction module 33 for bearing according to chassis support component, can the ground at prediction crane place meet lifting requirements, and prediction of output result.
Preferably, in information module 31, working condition information set comprises following parameter: crane vehicle, arm operating mode, large arm lengths, large arm angle, terrestrial information, angle of revolution, supporting leg operating mode, counterweight operating mode and lift heavy amount.Certainly the helpful information of pressure that can bear estimation each support portion of crane chassis, also can comprise other information, as long as can gather and obtain.The parameter of working condition information set can be certain concrete numerical value or state, can be also numerical range or state range.
Preferably, in computation analysis module 32, can adopt the mode of mathematical modeling, by certain Mathematical Modeling Methods, crane facility be carried out to mathematical modeling, and then, determine the pressure that each support component of crane chassis bears.The modeling method of crane facility can adopt the modeling of forward mathematical derivation, also can adopt reverse data fitting modeling.
The method of mathematical modeling is a lot, and for example, take each parts center of gravity is basic parameter, calculates each support component pressure.The a certain basic status of car load is divided into several submodules by parts, to solve each submodule center of gravity.Each submodule need to comprise the structural member of itself and be arranged on the element on structural member, so just can pass through easily Three-dimensional Design Software, calculates the center of gravity of each submodule.The center of gravity of other duty and basic status contrast, being simple position moves, can calculate according to duty delta data, so just can calculate the center of gravity of each parts of all states, and then calculate the pressure of complete machine to support component by simple mechanical balance and superposition principle.
Can according to actual operating mode, determine the method for mathematical modeling, the present invention does not do careful explanation at this.Because in the face of a concrete operating mode, for a person skilled in the art, rule of thumb, just can select the reckoning that suitable mathematical model is carried out the pressure that support component bears.
Preferably, prediction module 33 is further used for: the relation between the maximum pressure that the pressure that relatively each support component bears respectively and ground, crane place can be born; If the pressure that each support component bears is all less than the maximum pressure that ground, described crane place can be born, the ground at crane place can meet lifting requirements; If the pressure that wherein has a support component to bear is greater than the maximum pressure that ground, described crane place can be born, the ground at crane place can not meet lifting requirements, sends the warning of hazardous location.
And wherein, in prediction module 33, predicting the outcome can be numerical value, image or sound, or other informations.
In other words, the present embodiment pressure simulation prognoses system is before crane carries out formal operation, information module 31 is first collected job information collection, as suspended object weight, required brachium, amplitude, angle of revolution, supporting leg operating mode, counterweight operating mode, terrestrial information and other information etc., then relevant information is input to computation analysis module 32, computation analysis module 32, by according to the information of input, is calculated supporting leg dish pressure.Prediction module 33 judges, if when the force value that wherein force value of some supporting leg dishes can be born than ground is large, illustrates that operation is in this state dangerous, may produce surface collapse, must take necessary measure.If the force value hour that the force value of all supporting leg dishes can be born than ground, illustrates that operation is in this state safe.Final system provides geostatic pressure with the form of chart and data, dangerous working condition region, and the analysis result such as other information.Whether the pressure that like this, just can assess in advance this ground meets the demands.And result is exported.
For example, the wheel crane of take is example under certain state, and obtaining of work information comprises: type (QY50), arm operating mode (principal arm main hook), large arm lengths (15m), large arm angle (60 °), angle of revolution (90 °), supporting leg operating mode (supporting leg is stretched entirely), counterweight operating mode (standard counterweight), lift heavy amount (10T).
After having obtained these essential informations, can calculate under this operating mode all supporting leg dish force value.The pressure of supposing four supporting legs is respectively: a, b, c, d, the pressure that ground can be born is e.If e>a and e>b and e>c and e>d, ground loading capacity is enough so, and under this state, left and right is safe.If e<a or e<b or e<c or e<d, ground loading capacity is not enough so, and under this state, left and right is dangerous.System will show at these Output rusults, and provide analysis conclusion.
Pressure simulation prognoses system can be configured on the power limit device equipment of crane facility, also can on counterweight general-purpose computer, move.The present embodiment pressure simulation prognoses system, just can be by relevant working condition information before not carrying out formal operation, and whether assessment geostatic pressure meets lifting requirements, does not need crane facility to carry out actual action, just can provide result.And the present embodiment can also utilize analysis result, improves conversely, make geostatic pressure meet job requirements.The hoisting device overthrow accident causing due to surface collapse when therefore, the present embodiment can better prevent that crane from lifting work.
It should be noted that, the above embodiment of the present invention all be take crane and is described as example, for Other Engineering plant equipment, for example, be provided with the engineering mechanical device of supporting leg, when construction, to ground, can produce very large pressure, for fear of ground, by engineering mechanical device, damaged by pressure and subside, the method and system that can adopt the present invention to mention.
The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. a pressure simulation Forecasting Methodology, is characterized in that, for engineering machinery required prediction of bearing pressure in ground when constructing, comprises the steps:
Information gathering procedure, before operation, obtains the working condition information set of engineering machinery;
Computational analysis step, carries out analog computation analysis based on described working condition information set, determines the pressure that each support component of described engineering machinery chassis bears;
Prediction steps, the pressure bearing according to described chassis support component, can the ground at predictive engine machinery place meet construction requirement, and prediction of output result.
2. pressure simulation Forecasting Methodology according to claim 1, is characterized in that,
Described engineering machinery is hoisting device;
In described information gathering procedure, described working condition information set comprises following parameter:
Crane vehicle, arm operating mode, large arm lengths, large arm angle, terrestrial information, angle of revolution, supporting leg operating mode, counterweight operating mode and lift heavy amount.
3. pressure simulation Forecasting Methodology according to claim 1 and 2, is characterized in that,
In described computational analysis step, by the mode of mathematical modeling, determine the pressure that each support component of engineering machinery chassis bears.
4. pressure simulation Forecasting Methodology according to claim 3, is characterized in that,
Described prediction steps further comprises:
Relation between the maximum pressure that the pressure ground region corresponding with this support component that relatively each support component bears respectively can bear;
If the pressure that each support component bears is all less than the maximum pressure that its place ground region can bear, the ground at engineering machinery place can meet construction requirement;
If the pressure that wherein has a support component to bear is greater than the maximum pressure that its place ground region can bear, the ground at engineering machinery place can not meet construction requirement, sends the warning of hazardous location.
5. pressure simulation Forecasting Methodology according to claim 1, is characterized in that,
In described prediction steps, described in predict the outcome as numerical value, image or sound.
6. a pressure simulation prognoses system, is characterized in that, comprising:
Information module, for before operation, obtains the working condition information set of engineering machinery;
Computation analysis module, for carrying out analog computation analysis based on described working condition information set, determines the pressure that each support component of described engineering machinery chassis bears;
Prediction module, for the pressure bearing according to described chassis support component, can the ground at predictive engine machinery place meet construction requirement, and prediction of output result.
7. pressure simulation prognoses system according to claim 6, is characterized in that,
Described engineering machinery is hoisting device;
In described information module, described working condition information set comprises following parameter:
Crane vehicle, arm operating mode, large arm lengths, large arm angle, terrestrial information, angle of revolution, supporting leg operating mode, counterweight operating mode and lift heavy amount.
8. according to the pressure simulation prognoses system described in claim 6 or 7, it is characterized in that,
Described computation analysis module, for by the mode of mathematical modeling, is determined the pressure that each support component of described crane chassis bears.
9. pressure simulation prognoses system according to claim 8, is characterized in that,
Described prediction module is further used for:
Relation between the maximum pressure that the pressure ground region corresponding with this support component that relatively each support component bears respectively can bear;
If the pressure that each support component bears is all less than the maximum pressure that its place ground region can bear, the ground at engineering machinery place can meet construction requirement;
If the pressure that wherein has a support component to bear is greater than the maximum pressure that its place ground region can bear, the ground at engineering machinery place can not meet construction requirement, sends the warning of hazardous location.
10. pressure simulation prognoses system according to claim 6, is characterized in that,
In described prediction module, described in predict the outcome as numerical value, image or sound.
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| CN104030168A (en) * | 2014-06-10 | 2014-09-10 | 中联重科股份有限公司 | Crane rollover early-warning device, system, method and engineering machine |
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| CN103149042A (en) * | 2013-01-30 | 2013-06-12 | 大连理工大学（徐州）工程机械研究中心 | Safety evaluation decision making system of construction crane and safety evaluation decision making method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104030168A (en) * | 2014-06-10 | 2014-09-10 | 中联重科股份有限公司 | Crane rollover early-warning device, system, method and engineering machine |
| CN104030168B (en) * | 2014-06-10 | 2016-05-11 | 中联重科股份有限公司 | A kind of crane rollover source of early warning, system, method and engineering machinery |
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Application publication date: 20140219 |