CN104150359B - Hoisting capacity measuring method, equipment, system and engineering machinery - Google Patents

Hoisting capacity measuring method, equipment, system and engineering machinery Download PDF

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Publication number
CN104150359B
CN104150359B CN201410322614.1A CN201410322614A CN104150359B CN 104150359 B CN104150359 B CN 104150359B CN 201410322614 A CN201410322614 A CN 201410322614A CN 104150359 B CN104150359 B CN 104150359B
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engineering machinery
fixed pulley
hoisting capacity
parameter
state parameter
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CN104150359A (en
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姚立娟
郑庆华
谢利军
凌昭君
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Hunan Intellectual Technology Co Ltd Of Zhong Lianchong Section
Zoomlion Heavy Industry Science and Technology Co Ltd
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Hunan Intellectual Technology Co Ltd Of Zhong Lianchong Section
Zoomlion Heavy Industry Science and Technology Co Ltd
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Abstract

The present invention discloses a kind of hoisting capacity measuring method, equipment, system and engineering machinery, and the method comprises: what receive the fixed pulley that is connected with the hoisting drum of engineering machinery is subject to force parameter and engineering machinery state parameter; According to the described equivalent friction calculating described fixed pulley place by force parameter and described engineering machinery state parameter; And according to the described hoisting capacity by force parameter, described equivalent friction and described engineering machinery state parameter computational engineering machinery. The present invention all can accurately calculate hoisting capacity under can be implemented in lifting machine dynamic load and static load state, it is to increase the security in lifting machine working process.

Description

Hoisting capacity measuring method, equipment, system and engineering machinery
Technical field
The present invention relates to engineering machinery, specifically, it relates to a kind of hoisting capacity measuring method, equipment, system and engineering machinery.
Background technology
Tower hoist is Application comparison handling machinery widely on construction site, carries the transport of high-altitude length distance. Because of its tower height, lifting brachium, lifted load is big, and danger coefficient is very big in use. Once hoisting capacity (weight of weight of namely slinging) exceedes specified rated load, so that it may can tumble, the security incident such as folding arm, disconnected waist. Therefore having installed safety monitoring system on tower hoist, supervisory system, by weight sensor, measures hoisting capacity in real time. The weight sensor normally single-sheaved block pin type installed on tower hoist, is arranged on the fixed pulley being connected with hoisting drum. Tower hoist is by one group of pulley structure, the weight acting on weight on wireline is transformed on weight sensor by proportional, static load demarcation (weight of namely slinging is carried out by counterweight quantity sensor, do not carry out hoisting, decline, the amplitude of amplitude variation trolley is constant simultaneously), at minimum radius place, when utilizing safety monitoring system collection unloaded and fully loaded, the numerical value of weight sensor carries out linear calibration, it is achieved to the real-time calculating of hoisting capacity.
But tower hoist hoisting capacity of the prior art is measured and only be may be used for static load demarcation, namely hoisting capacity is calculated under stationary state, and under dynamic load state (such as weight hoist and decline, in the amplitude process of amplitude variation trolley) owing to not considering the frictional force that pulley and wireline produce, the calculated value deviation of hoisting capacity is bigger, tolerance range is low, there is potential safety hazard.
Summary of the invention
For the above-mentioned problems in the prior art, the present invention provides a kind of hoisting capacity measuring method, and the method comprises: what receive the fixed pulley that is connected with the hoisting drum of engineering machinery is subject to force parameter and engineering machinery state parameter; According to the described equivalent friction calculating described fixed pulley place by force parameter and described engineering machinery state parameter; And according to the described hoisting capacity by force parameter, described equivalent friction and described engineering machinery state parameter computational engineering machinery.
In addition, present invention also offers a kind of hoisting capacity metering facility, this equipment comprises: receptor, is subject to force parameter and engineering machinery state parameter for what receive fixed pulley that the hoisting drum with engineering machinery is connected; And treater, it is connected with described receptor, for according to the described equivalent friction calculating described fixed pulley place by force parameter and described engineering machinery state parameter; And for according to the described hoisting capacity by force parameter, described equivalent friction and described engineering machinery state parameter computational engineering machinery.
Correspondingly, present invention also offers a kind of hoisting capacity measuring system, this system comprises: weight sensor, for measure fixed pulley two ends lineoutofservice signal pull that the hoisting drum with engineering machinery is connected with joint efforts; Engineering machinery condition detecting device, for sending engineering machinery state parameter; And according to hoisting capacity metering facility provided by the present invention.
In addition, present invention also offers and a kind of comprise the engineering machinery according to hoisting capacity measuring system provided by the present invention.
Adopt hoisting capacity measuring method provided by the invention, equipment and system, by receive be connected with the hoisting drum of engineering machinery fixed pulley be subject to force parameter and engineering machinery state parameter, afterwards according to the described equivalent friction calculating described fixed pulley place by force parameter and described engineering machinery state parameter, then according to described by force parameter, described equivalent friction, and the hoisting capacity of described engineering machinery state parameter computational engineering machinery, realize under lifting machine dynamic load and static load state, all can accurately calculate hoisting capacity, improve the security in lifting machine working process.
Other features and advantages of the present invention are described in detail in embodiment part subsequently.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for specification sheets, is used from explanation the present invention with embodiment one below, but is not construed as limiting the invention. In the accompanying drawings:
The power equivalence that is subject to that Fig. 1 is the fixed pulley that the example according to one embodiment of the present invention is connected with the hoisting drum of engineering machinery is schemed;
Fig. 2 is the schematic diagram of the example hoisting capacity metering facility according to one embodiment of the present invention; And
Fig. 3 is the schema of the example hoisting capacity measuring method according to one embodiment of the present invention.
Description of reference numerals
10 fixed pulley 100 receptor 200 treaters
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail. Should be understood that, embodiment described herein, only for instruction and explanation of the present invention, is not limited to the present invention.
In order to clearly illustrate the thought of the present invention, it is described in detail with the control process of hoisting capacity measuring system below. Wherein this system can comprise: weight sensor, for measuring making a concerted effort of fixed pulley two ends lineoutofservice signal pull that the hoisting drum with engineering machinery is connected; Engineering machinery condition detecting device, for sending engineering machinery state parameter; And according to hoisting capacity metering facility provided by the present invention. Specifically, weight sensor may be used for measuring the fixed pulley two ends lineoutofservice signal pull that is connected with the hoisting drum of engineering machinery with joint efforts, be arranged on this fixed pulley; Engineering machinery condition detecting device, it is possible to for sending engineering machinery state parameter, such as, described engineering machinery condition detecting device can comprise PLC and/or safety monitoring equipment (also can be referred to as safety monitoring system);And according to hoisting capacity metering facility provided by the present invention (elaboration by detailed hereinafter).
The power equivalence that is subject to that Fig. 1 is the fixed pulley that the example according to one embodiment of the present invention is connected with the hoisting drum of engineering machinery is schemed. as shown in Figure 1, it is identical with function that weight sensor in this system can install position (being such as arranged on fixed pulley 10) with weight sensor of the prior art, but prior art thinks that the data no matter lifting machine is measured in static load state or dynamic load state weight sensor are hoisting capacity, and do not consider lifting machine under dynamic load state (such as, such as weight is hoisting and is declining, in the amplitude process of amplitude variation trolley) change (the with joint efforts F of the described fixed pulley two ends lineoutofservice signal pull that namely weight sensor is measured no longer equals the gravity G of weight) by power of fixed pulley that this weight sensor measures is installed, causing weight sensor in this condition, actual what measure is not the hoisting capacity of engineering machinery, there is very large deviation.
Based on above-mentioned consideration, the present invention provides the equipment of the hoisting capacity that still can accurately obtain engineering machinery under lifting machine is in dynamic load state. Fig. 2 is the schematic diagram of the example hoisting capacity metering facility according to one embodiment of the present invention, as shown in Figure 2, this hoisting capacity metering facility comprises: receptor 100, for receive fixed pulley that the hoisting drum with engineering machinery is connected by force parameter and engineering machinery state parameter; And treater 200, it is connected with described receptor, for according to the described equivalent friction calculating described fixed pulley place by force parameter and described engineering machinery state parameter; And for according to the described hoisting capacity by force parameter, described equivalent friction and described engineering machinery state parameter computational engineering machinery.
According to one embodiment of the present invention, this hoisting capacity metering facility can comprise: receptor 100, its can receive the fixed pulley 10 that the hoisting drum with engineering machinery is connected by force parameter and engineering machinery state parameter, such as from weight sensor receive its measure hoisting drum connect fixed pulley two ends lineoutofservice signal pull make a concerted effort, or can also according to the angle calcu-lation between two component of described fixed pulley two ends lineoutofservice signal pull and two component go out fixed pulley two ends lineoutofservice signal pull make a concerted effort (as shown in Figure 1), and receive engineering machinery state parameter from engineering machinery condition detecting device. such as, described engineering machinery condition detecting device can comprise PLC and/or safety monitoring equipment (also can be referred to as safety monitoring system). engineering machinery state parameter can be sent according to practical situation, configuration PLC and/or safety monitoring equipment. such as, the various engineering machinery state parameter of relevant equipment or sensor detection needs can be controlled respectively for the engineering machinery being configured with PLC and safety monitoring equipment in prior art, PLC and safety monitoring equipment and send it to receptor 100, and for prior art is only configured with the engineering machinery of PLC, it is possible to PLC correspondingly is arranged to realize above-mentioned functions, or can also only configure safety monitoring equipment and realize above-mentioned functions, those skilled in the art can according to the specific configuration of existing engineering machinery, select the embodiment of engineering machinery condition detecting device, equipment or sensor for work machine parameter all can adopt prior art, in order to not obscure protection scope of the present invention, do not repeat them here.Afterwards, these parameters are sent to and the treater 200 being connected by receptor 100. And, treater 200 can according to the described equivalent friction calculating described fixed pulley place by force parameter and described engineering machinery state parameter, and afterwards according to the described hoisting capacity by force parameter, described equivalent friction and described engineering machinery state parameter computational engineering machinery.
According to one embodiment of the present invention, described by force parameter can comprise described fixed pulley two ends lineoutofservice signal pull make a concerted effort, or two component of described fixed pulley two ends lineoutofservice signal pull can also be comprised by force parameter, and such as, calculate according to two component and the angle between it (such as by treater 200) afterwards and make a concerted effort (when not configuring weight sensor or weight sensor fault). The multiplying power that described engineering machinery state parameter can comprise the angle between two component of described fixed pulley two ends lineoutofservice signal pull and wireline is (such as, can send by safety monitoring equipment, if and engineering machinery not yet configures safety monitoring equipment, then can PLC be correspondingly set and realize above-mentioned functions).
In order to calculate hoisting capacity, with reference to figure 1, it is necessary to by force parameter and engineering machinery state parameter, such as engineering machinery state parameter can comprise two component (T of described fixed pulley two ends lineoutofservice signal pull1=T2=T) between angle a (a=a1+a2, and a1=a2) and the multiplying power n of wireline. Treater 200 according to the described equivalent friction first calculating described fixed pulley place by force parameter and described engineering machinery state parameter (namely when lifting machine is in dynamic load state, kinetic friction is there is between fixed pulley two ends wireline and fixed pulley 10, in order to simplify calculating, the kinetic friction power of pulley multiple in this system is equivalent to the equivalent friction f at fixed pulley 10 place). Afterwards can according to the described hoisting capacity by force parameter, described equivalent friction and described engineering machinery state parameter computational engineering machinery.
Such as, as shown in Figure 1, the wireline that hoists of lifting machine, by one group of fixed pulley, produces certain making a concerted effort on each fixed pulley, the weight acting on object on wireline is transformed on weight sensor by proportional, and weight sensor carries out Weight computation by the F that makes a concerted effort of detection lineoutofservice signal pull. Namely make a concerted effort F=(T1-f)cosa1+(T2-f)cosa2=2 (T-f) cos (a/2), and G=nT, therefore, described treater 200 can according to the hoisting capacity G of following formulae discovery engineering machinery:
G=nF/2cos (a/2)+nf formula (1)
Wherein n is the multiplying power of wireline, and this value can carry out appropriate selection and configuration according to the type of wireline, is fixed value after selection; A is the angle between two component of described fixed pulley two ends lineoutofservice signal pull, and after fixed pulley position is fixing, its value immobilizes; F attach most importance to quantity sensor measure described fixed pulley two ends lineoutofservice signal pull make a concerted effort; And f is the equivalent friction at described fixed pulley place.
According to above-mentioned formula (1) it will be seen that n, a, F are known quantity, equivalent friction f needs to calculate (concrete method of calculation will be described in detail below) according to by force parameter and engineering machinery state parameter. Under mainly considering dynamic load state, the performance that hoisting capacity calculated value deviation is bigger is: when weight hoists, the calculated value of load is bigger than normal, and during decline, the calculated value of load is less than normal. Namely, when the amplitude with amplitude variation trolley that hoists diminishes, equivalent friction f is contrary with pulling force T direction, causes calculated value bigger than normal;When decline is big with the amplitude change of amplitude variation trolley, frictional force f is identical with pulling force T direction, causes calculated value less than normal. In addition, when volume raises motor rotating speed p increase, calculated value is bigger than normal. By analyzing above it will be seen that in dynamic load process equivalent friction f between fixed pulley 10 and wireline such as, mainly be subject to rolling up and raise the rotating speed p of motor, the amplitude R of amplitude variation trolley and the impact of the F that makes a concerted effort (weight sensor measure) three.
In order to above-mentioned three influence factors being considered (can also consider that the one that volume is raised in the rotating speed p of motor and the amplitude R of amplitude variation trolley is combined with the F that makes a concerted effort according to practical situation), accurately calculate equivalent friction f, thus ensure the accuracy that weight calculates, it is ensured that the safety of lifting machine. according to one embodiment of the present invention, in order to calculate equivalent friction f, the rotating speed p that volume can be raised motor is (such as, PLC sends, can also configure safety monitoring equipment send) and amplitude variation trolley amplitude R (such as, safety monitoring equipment sends, or PLC realize) at least one be sent to receptor 100 as engineering machinery state parameter, described treater 200 can raise at least one in the rotating speed p of motor and the amplitude R of amplitude variation trolley according to volume afterwards, and the F that makes a concerted effort of described fixed pulley two ends lineoutofservice signal pull utilizes intelligent algorithm to calculate the equivalent friction f at described fixed pulley place. preferably, described intelligent algorithm can comprise any one in BP neural network, RBF neural, SVMs, fuzzy algorithm.
Describe the intelligent algorithm adopting BP neural computing equivalent friction f herein in detail:
(1) design of BP network
Adopt three layers (namely an input layer, a hidden layer, an output layer) BP neural computing equivalent friction f: assume that input node is xi, hidden node is yj, output node is zl. Network weight and valve value between input node and hidden node are respectively wjiAnd ��j, hidden node and the network weight and the valve value that export between node are respectively vljAnd ��l. Then the output of hidden layer and output layer is:
The output of hidden node:Formula (2)
The calculating exporting node exports:Formula (3)
Due to the transport function normally S type function of BP network neural unit, therefore in learning process, hidden neuron all adopts S type function, linear processes relation between study input and output, that present embodiment adopts is hyperbolic function (tansig); The transport function of output layer adopts linear function (purelin). BP network training method adopts Levenberg-Marquardt method, and training function is trainlm.
Further, will the volume observed value F that raises the rotating speed p of motor, the amplitude R of amplitude variation trolley and weight sensor as the input of neural network, equivalent friction f as the output of network, that is: X=(p, R, F); Z=(f). Afterwards, set up the sample set of above-mentioned parameter, to train.
(2) training set sample is set up
The minimum of motor and maximum speed of revolution is raised respectively to roll up, the minimum radius Rmin of amplitude variation trolley, maximum amplitude Rmax place carries out unloaded M0 (i.e. gravity G), fully loaded Mmax and 1/2Mmax etc. hoists, the data gathering of decline process is (such as, rotary speed data can be sent by PLC or safety monitoring equipment can also be configured and realize, load data (the i.e. M0 of weight can be sent by safety monitoring equipment, Mmax, 1/2Mmax etc.), if and engineering machinery not yet configures safety monitoring equipment, then can realize above-mentioned functions by PLC as mentioned above), and gather the observed value F (i.e. training set input amendment X) of weight sensor simultaneously.Corresponding equivalent friction f is obtained by formula (1) formula, i.e. training set output sample according to the above-mentioned data gathered. And can set up hoist, decline two set of data samples, respectively has 12 samples, then carries out hoisting, declining two BP network on-line training, or hoist, declining to adopt same BP network to train. Should be understood that, for selection and the quantity of sample set, those skilled in the art reasonably can configure according to practical situation (such as fund input, lifting machine accuracy requirement etc.), and this is not limited by the present invention, and selection and the quantity of sample set here are only example.
(3) calculating of equivalent friction f
Following two experimental formulas of hidden unit number general are determined:
(a)Wherein, n1For hidden unit number, m is output neuron number, and n is input neuron number, and a is the constant between [1,10].
(b)
Exemplarily, m=1, n=3, n18,9,10 can be got respectively carry out input and output training set sample is carried out on-line training, get most the superior's storage networking weights and bias, complete training. The network parameter stored after having trained is as follows:
C () input layer is to the weights of hidden layer and valve value: iw, ��1
D () hidden layer is to the weights of output layer and valve value: lw, ��2
The calculation formula of equivalent friction f is obtained according to the network trained and formula (3):
f = Σ j n 1 ( tan sig ( Σ i 3 i w ji w i - θ 1 j ) * l w j ) + θ 2 Formula (4)
Wherein by input amendment (p, R, F) (such as adopt the p that above-mentioned enforcement mode real-time reception arrives, R, F) and [tansig (n)=2/ (1+exp (-2*n))-1] substitute into formula (4) can obtain:
f = Σ j n 1 ( 2 / ( 1 + exp ( - 2 * ( i w j 1 p + i w j 2 R + i w j 3 F - θ 1 j ) ) ) - 1 ) * l w j + θ 2 Formula (5)
Afterwards, treater 200 f calculated in formula (5) is substituted into formula (1) formula namely can the accurate hoisting capacity (namely hanging the weight of loads) of calculating place lifting machine under dynamic load state in real time. Adopt this kind of enforcement mode of the present invention can accurately calculate equivalent friction f, thus ensure the accuracy that weight calculates, it is ensured that the safety of lifting machine.
Should be understood that, above-mentioned BP neural network is only exemplary non-limiting example, it will be appreciated by those skilled in the art that and can suitably select according to data sample provided by the invention to adopt other intelligent algorithms (such as RBF neural, SVMs, fuzzy algorithm etc.) to carry out calculating or by incompatible for various algorithm groups this equivalent friction of calculating, this is not limited by the present invention.
According to another embodiment of the invention, treater 200 before being subject to force parameter and described engineering machinery state parameter described in receiving, can first determine whether described engineering machinery (such as tower hoist) is in dynamic load state. Such as, as mentioned above, when receiving the engineering machinery state parameter comprising at least one that volume is raised in the rotating speed p of motor and the amplitude R of amplitude variation trolley when treater 200, it can pre-determined range within a processor compares with prestoring by this parameter, and determines that described engineering machinery is in dynamic load state any one raising at described volume in the rotating speed p of motor and the amplitude R of amplitude variation trolley exceedes pre-determined range. After determining that engineering machinery is in dynamic load state, treater 200 controls receptor 100 and receives above-mentioned by force parameter and engineering machinery state parameter, and carries out above-mentioned computation process. Adopt such enforcement mode, hoisting capacity metering facility can judge the state residing for lifting machine, namely it is static load state or dynamic load state, due to static load state, equivalent friction f is negligible, F and hoisting capacity (weight of the weight) deviation with joint efforts of the described fixed pulley two ends lineoutofservice signal pull that weight sensor is measured are little, therefore can not carry out above-mentioned computation process, namely think that F equals hoisting capacity with joint efforts.And only when lifting machine carries out above-mentioned computation process under dynamic load state, it is achieved while accurate calculation hoisting capacity and reduce the treatment capacity of data and treatment time, cost-saving and more intelligent.
Fig. 3 is the schema of the example hoisting capacity measuring method according to one embodiment of the present invention. As shown in Figure 3, the method can comprise the following steps:
In step 1001, receive be connected with the hoisting drum of engineering machinery fixed pulley be subject to force parameter and engineering machinery state parameter;
In step 1002, according to the described equivalent friction calculating described fixed pulley place by force parameter and described engineering machinery state parameter; And
In step 1003, according to the described hoisting capacity by force parameter, described equivalent friction and described engineering machinery state parameter computational engineering machinery.
Preferably, described by force parameter comprise described fixed pulley two ends lineoutofservice signal pull make a concerted effort; Described engineering machinery state parameter comprises the multiplying power of the angle between two component of described fixed pulley two ends lineoutofservice signal pull and wireline.
Preferably, according to the hoisting capacity G of following formula (1) computational engineering machinery:
G=nF/2cos (a/2)+nf formula (1)
Wherein n is the multiplying power of wireline; A is the angle between two component of described fixed pulley two ends lineoutofservice signal pull; F is making a concerted effort of described fixed pulley two ends lineoutofservice signal pull; And f is the equivalent friction at described fixed pulley place.
Preferably, described engineering machinery state parameter also comprises at least one that volume is raised in the rotating speed p of motor and the amplitude R of amplitude variation trolley; And the F that makes a concerted effort of at least one raised according to described volume in the rotating speed p of motor and the amplitude R of amplitude variation trolley and described fixed pulley two ends lineoutofservice signal pull utilizes intelligent algorithm to calculate the equivalent friction f at described fixed pulley place.
Preferably, described intelligent algorithm comprises any one in BP neural network, RBF neural, SVMs, fuzzy algorithm.
Preferably, the method is also included in described in reception by before force parameter and described engineering machinery state parameter, it is determined that whether described engineering machinery is in dynamic load state.
Preferably, determine that described engineering machinery is in dynamic load state any one raising at described volume in the rotating speed p of motor and the amplitude R of amplitude variation trolley exceedes pre-determined range.
The embodiment of aforesaid method step illustrates all in the enforcement mode of above-mentioned hoisting capacity measuring system, does not repeat them here.
Correspondingly, present invention also offers the engineering machinery (not shown) comprised according to hoisting capacity measuring system provided by the present invention, this engineering machinery not only can comprise the hoisting capacity measuring system according to embodiment of the present invention as mentioned above, and this engineering machinery can also adopt any one in above-mentioned hoisting capacity measuring method and equipment and combination thereof to carry out above-mentioned measuring process. Should be understood that, this engineering machinery can be any engineering machinery needing hoisting capacity to measure, such as tower hoist.
Adopt hoisting capacity measuring method provided by the invention, equipment and system, by receive be connected with the hoisting drum of engineering machinery fixed pulley be subject to force parameter and engineering machinery state parameter, afterwards according to the described equivalent friction calculating described fixed pulley place by force parameter and described engineering machinery state parameter, then according to described by force parameter, described equivalent friction, and the hoisting capacity of described engineering machinery state parameter computational engineering machinery, realize under lifting machine dynamic load and static load state, all can accurately calculate hoisting capacity, improve the security in lifting machine working process.
Below the preferred embodiment of the present invention is described by reference to the accompanying drawings in detail; but; the detail that the present invention is not limited in above-mentioned enforcement mode; within the scope of the technical conceive of the present invention; the technical scheme of the present invention can being carried out multiple simple variant, these simple variant all belong to protection scope of the present invention.
It should be noted that in addition, each concrete technology feature described in above-mentioned embodiment, when not contradiction, it is possible to combined by any suitable mode, in order to avoid unnecessary repetition, various possible array mode is illustrated by the present invention no longer separately.
In addition, can also carrying out arbitrary combination between the various different enforcement mode of the present invention, as long as it does not run counter to the thought of the present invention, it should be considered as content disclosed in this invention equally.

Claims (13)

1. a hoisting capacity measuring method, it is characterised in that, the method comprises:
Receive be connected with the hoisting drum of engineering machinery fixed pulley be subject to force parameter and engineering machinery state parameter;
According to the described equivalent friction calculating described fixed pulley place by force parameter and described engineering machinery state parameter; And
According to the described hoisting capacity by force parameter, described equivalent friction and described engineering machinery state parameter computational engineering machinery;
Wherein, described by force parameter comprise described fixed pulley two ends lineoutofservice signal pull make a concerted effort; Described engineering machinery state parameter comprises the multiplying power of the angle between two component of described fixed pulley two ends lineoutofservice signal pull and wireline; Described engineering machinery state parameter also comprises rolls up at least one raising in the rotating speed p of motor and the amplitude R of amplitude variation trolley; And at least one raised according to described volume in the rotating speed p of motor and the amplitude R of amplitude variation trolley and described fixed pulley two ends lineoutofservice signal pull make a concerted effort utilize intelligent algorithm to calculate the equivalent friction at described fixed pulley place.
2. hoisting capacity measuring method according to claim 1, it is characterised in that, according to the hoisting capacity of following formula (1) computational engineering machinery:
G=nF/2cos (a/2)+nf formula (1)
Wherein n is the multiplying power of wireline; A is the angle between two component of described fixed pulley two ends lineoutofservice signal pull; F is making a concerted effort of described fixed pulley two ends lineoutofservice signal pull; And f is the equivalent friction at described fixed pulley place, wherein G is the hoisting capacity of engineering machinery.
3. hoisting capacity measuring method according to claim 1, it is characterised in that, described intelligent algorithm comprises any one in BP neural network, RBF neural, SVMs, fuzzy algorithm.
4. hoisting capacity measuring method according to claim 3, it is characterised in that, it is described by before force parameter and described engineering machinery state parameter that the method is also included in reception, it is determined that whether described engineering machinery is in dynamic load state.
5. hoisting capacity measuring method according to claim 4, it is characterised in that, determine that described engineering machinery is in dynamic load state any one raising at described volume in the rotating speed p of motor and the amplitude R of amplitude variation trolley exceedes pre-determined range.
6. a hoisting capacity metering facility, it is characterised in that, this equipment comprises:
Receptor, for receive fixed pulley that the hoisting drum with engineering machinery is connected by force parameter and engineering machinery state parameter; And
Treater, is connected with described receptor, for according to the described equivalent friction calculating described fixed pulley place by force parameter and described engineering machinery state parameter; And for according to the described hoisting capacity by force parameter, described equivalent friction and described engineering machinery state parameter computational engineering machinery;
Wherein said by force parameter comprise described fixed pulley two ends lineoutofservice signal pull make a concerted effort; Described engineering machinery state parameter comprises the multiplying power of the angle between two component of described fixed pulley two ends lineoutofservice signal pull and wireline;Described engineering machinery state parameter also comprises rolls up at least one raising in the rotating speed p of motor and the amplitude R of amplitude variation trolley; And the described treater at least one that is configured in the amplitude R of rotating speed p and the amplitude variation trolley raising motor according to described volume and described fixed pulley two ends lineoutofservice signal pull make a concerted effort utilize intelligent algorithm to calculate the equivalent friction at described fixed pulley place.
7. hoisting capacity metering facility according to claim 6, it is characterised in that, described treater is configured to the hoisting capacity according to following formulae discovery engineering machinery:
G=nF/2cos (a/2)+nf formula (1)
Wherein n is the multiplying power of wireline; A is the angle between two component of described fixed pulley two ends lineoutofservice signal pull; F is making a concerted effort of described fixed pulley two ends lineoutofservice signal pull; And f is the equivalent friction at described fixed pulley place, wherein G is the hoisting capacity of engineering machinery.
8. hoisting capacity metering facility according to claim 6, it is characterised in that, described intelligent algorithm comprises any one in BP neural network, RBF neural, SVMs, fuzzy algorithm.
9. hoisting capacity metering facility according to claim 8, it is characterised in that, described treater is also configured to: before described in receiving by force parameter and described engineering machinery state parameter, it is determined that whether described engineering machinery is in dynamic load state.
10. hoisting capacity metering facility according to claim 9, it is characterized in that, described treater is also configured to: determine that described engineering machinery is in dynamic load state any one raising at described volume in the rotating speed p of motor and the amplitude R of amplitude variation trolley exceedes pre-determined range.
11. 1 kinds of hoisting capacity measuring systems, it is characterised in that, this system comprises:
Weight sensor, for measuring making a concerted effort of fixed pulley two ends lineoutofservice signal pull that the hoisting drum with engineering machinery is connected;
Engineering machinery condition detecting device, for sending engineering machinery state parameter; And
According to hoisting capacity metering facility described in any one in claim 6-10.
12. hoisting capacity measuring systems according to claim 11, it is characterised in that, described engineering machinery condition detecting device comprises PLC and/or safety monitoring equipment.
13. 1 kinds comprise in claim 11-12 the engineering machinery of the hoisting capacity measuring system described in any one.
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