Method for measuring and calculating linear speed of multi-layer wide steel wire rope winding roller

Abstract

The invention discloses a method for measuring and calculating the linear speed of a multilayer wide steel wire rope winding roller, and the method comprises the steps: building a virtual model which is composed of a simulation algorithm module, a verification algorithm module and a sensitivity analysis module; the simulation algorithm module is used for calculating and generating a theoretical model and finally outputting a reasonable calculation mode; the verification algorithm module is used for generating a verification model, generating a verification value by adopting basic parameters which are the same as those of the simulation algorithm module, and verifying whether a calculation result of the simulation algorithm module is accurate or not; the measuring and calculating method has wide application value in engineering practice, covers multiple aspects of equipment efficiency, safety, service life management, design optimization, fault diagnosis and the like, and can improve equipment performance, reduce operation cost and guarantee safety by accurately measuring and calculating the linear speed.

Description

Technical Field

[0001] The present invention relates to the technical field of mine safety, and specifically to a method for calculating the linear velocity of a multi-layer wide-width wire rope winding drum. Background Art

[0002] The multi-layer wide-width wire rope is wound by multiple strands of fine wires, has high tensile strength and load-bearing capacity, can withstand large tensile forces and abrasions, and due to its structural characteristics, it is not easy to break during use and has a long service life.

[0003] In mines, multi-layer wide-width wire ropes are often used in hoisting equipment such as mine cars and cages. These equipment need to be connected to the hoist through wire ropes to achieve the function of lifting ore, waste rock, and personnel from underground to the ground. For example, through the traction of the multi-layer wide-width wire rope, the winch can easily drag heavy objects or equipment to move in the mine. This application requires the wire rope to have sufficient strength and flexibility to ensure the smooth progress of the traction process.

[0004] In actual production, the multi-layer wide-width wire rope for traction is wound around the drum, and due to the long traction distance and the continuous change of the actual diameters of the drum and the wire rope after multiple windings, in order to maintain the stability of the object being towed during traction, it is necessary to calculate the linear velocity of the drum to meet the actual production requirements. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for calculating the linear velocity of a multi-layer wide-width wire rope winding drum to solve the problems raised in the above background art.

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] A method for calculating the linear velocity of a multi-layer wide-width wire rope winding drum includes establishing a virtual model, where the virtual model consists of a simulation algorithm module, a verification algorithm module, and a sensitivity analysis module; the simulation algorithm module is used to calculate and generate a theoretical model and finally output a reasonable calculation method; the verification algorithm module is used to generate a verification model, adopt the same basic parameters as the simulation algorithm module, and produce a verification value to verify whether the calculation result of the simulation algorithm module is accurate;

[0008] The sensitivity analysis module includes a data comparison part and a sensitive parameter input / output part; the sensitivity analysis module is used to analyze and compare the results obtained by the simulation algorithm module and the verification algorithm module, obtain an error result, and based on the error result, give a reliability judgment of the theoretical model and save the sensitivity parameter for adding the sensitivity parameter to the simulation algorithm module according to the actual working conditions to ensure the accuracy of the actual measurement.

[0009] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0010] This measurement method has wide application value in engineering practice, covering multiple aspects such as equipment efficiency, safety, life management, design optimization, and fault diagnosis. By accurately measuring the linear velocity, the equipment performance can be improved, the operation cost can be reduced, and safety can be ensured. Specific embodiments

[0011] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0012] In the description of the present invention, it should be noted that the terms "first", "second", and "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0013] In an embodiment of the present invention, a method for measuring the linear velocity of a multi-layer wide-width wire rope winding drum includes establishing a virtual model, where the virtual model consists of a simulation algorithm module, a verification algorithm module, and a sensitivity analysis module; the simulation algorithm module is used to calculate and generate a theoretical model and finally output a reasonable calculation method; the verification algorithm module is used to generate a verification model, adopt the same basic parameters as the simulation algorithm module, and output a verification value to verify whether the calculation result of the simulation algorithm module is accurate;

[0014] The sensitivity analysis module includes a data comparison part and a sensitive parameter input-output part; the sensitivity analysis module is used to analyze and compare the results obtained by the simulation algorithm module and the verification algorithm module, obtain an error result, and give a reliability judgment of the theoretical model according to the error result, and save the sensitivity parameter for adding the sensitivity parameter to the simulation algorithm module according to the actual working conditions to ensure the accuracy of the actual measurement;

[0015] Specifically, the simulation algorithm module includes:

[0016] The fixed data determination part is used to determine the basic calculation data, specifically:

[0017] The drum diameter D, including the total diameter after the wire rope is wound;

[0018] The drum speed N, with the unit of revolutions per minute (rpm);

[0019] The number of wire rope layers n, which is the number of wire rope layers wound on the drum;

[0020] The wire rope diameter d, which is the diameter of a single wire rope;

[0021] The allocation scheme generation part is used to calculate the simulated value according to the input numerical value by using the allocation formula;

[0022] First, the average diameter of the multi-layer steel wire rope is recorded as D i , where i is the number of layers:

[0023] D i = D + (2i - 1)d;

[0024] The linear velocity of the current i-th layer:

[0025] V i = πD i N;

[0026] By summing Σ, the measurement formula for the final velocity V avg is:

[0027] V avg = πN(D + nd);

[0028] The simulation algorithm module further includes a sensitivity coefficient adding unit, which adds a sensitivity coefficient parameter U according to the current actual working condition to correct the final velocity V a ' vg = V avg * U;

[0029] The verification algorithm module is composed of multiple independent calculation units and an experimental data unit. The experimental data unit is a storage unit for storing data under actual working conditions. Since there are different influencing parameters in the actual working condition, independent calculation units are required for separation and comparison;

[0030] The independent calculation units include:

[0031] The layer-by-layer calculation unit, which obtains the final average velocity value by calculating the average of the independent velocity data of different layers layer by layer;

[0032] The equivalent diameter calculation unit, which obtains the final average velocity value by calculating the equivalent diameter and the average linear velocity;

[0033] The dynamic simulation calculation unit, which simulates the actual working state by calculating the equivalent data of computational fluid dynamics, and obtains the final average velocity value after extracting the linear velocity distribution;

[0034] In the sensitivity analysis module, the data comparison module has a simple calculation unit, which is used to access the result values calculated by the simulation algorithm module and the verification algorithm module under the same data ratio, and compare the two values:

[0035] Relative error = simulated algorithm value / verification algorithm value - 100%;

[0036] The data comparison module also has a judgment unit, with a range parameter M preset. When the relative error is within the value of M, it is determined that the calculation method of the simulation algorithm module is an accurate measurement method;

[0037] The sensitive parameter input and output part is a training unit. By continuous training, the upper vertex value and the lower vertex value of each sensitive parameter u are determined, and the vertex values are completed through dynamic simulation calculation; Specifically, the initial feature representation of the vertex values is:

[0038] A = {a1…a6};

[0039] Where a1…a6 are the fixed point values of the corresponding sensitive parameters respectively. By substituting the value of A, a data matrix is formed, and the classifier of the training unit is used to distinguish the size difference values. For the range parameter M, it is determined whether the sensitive parameter u is a sensitive coefficient parameter U that can be output.

[0040] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention.

[0041] In addition, it should be understood that although this specification is described according to embodiments, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A method for calculating the linear velocity of a multi-layer wide wire rope winding drum, characterized in that: This includes building a virtual model where: The virtual model consists of a simulation algorithm module, a verification algorithm module and a sensitivity analysis module; the simulation algorithm module is used to calculate and generate a theoretical model, and finally output a reasonable calculation method; the verification algorithm module is used to generate a verification model, using the same basic parameters as the simulation algorithm module, and outputs a verification value, which is used to verify whether the calculation results of the simulation algorithm module are accurate; Sensitivity analysis module, including data comparison part and sensitive parameter input and output part; The sensitivity analysis module is used to analyze and compare the results obtained by the simulation algorithm module and the verification algorithm module, obtain the error results, and give the reliability judgment of the theoretical model based on the error results, and save the sensitivity parameters, which are used to add sensitivity parameters to the simulation algorithm module according to the actual working conditions to ensure the actual measurement accuracy.

2. The method for calculating the linear velocity of a multi-layer wide wire rope winding drum according to claim 1, characterized in that: The simulation algorithm module includes: a fixed data determination part, which is used to determine basic calculation data; and an allocation scheme generation part, which is used to calculate simulation values ​​by allocating formulas according to input numerical values.

3. The method for calculating the linear velocity of a multi-layer wide wire rope winding drum according to claim 2, characterized in that: In the simulation algorithm module, Drum diameter D, including the total diameter of the wire rope after winding; Drum speed N, in revolutions per minute (rpm); The number of wire rope layers n is the number of wire rope layers wound on the drum; Wire rope diameter d, the diameter of a single wire rope; The average diameter of the multi-layer steel rope is recorded as D i , i is the number of layers: D i =D+(2i-1)d Linear speed of the current i layer: V i =πD i N; By summing Σ, the formula for calculating the final speed is: V avg =πN(D+nd)。 4. The method for calculating the linear velocity of a multi-layer wide wire rope winding drum according to claim 3 is characterized in that: The simulation algorithm module also includes a sensitivity coefficient adding unit, which adds a sensitivity coefficient parameter U according to the current actual working conditions and corrects the final speed V a ' vg =V avg *U.

5. A method for calculating the linear velocity of a multi-layer wide-width steel wire rope winding drum according to claim 4, characterized in that: The verification algorithm module is composed of a plurality of independent computing units and an experimental data unit, and the experimental data unit is a storage unit; The independent computing unit comprises: The layer-by-layer calculation unit calculates the independent speed data of different layers layer by layer and takes the average value to obtain the final average speed value; An equivalent diameter calculation unit, which obtains the final average speed value by calculating the equivalent diameter and the average linear speed; The dynamic simulation calculation unit uses computational fluid dynamics equivalent data to simulate the actual working state, extracts the line speed distribution and obtains the final average speed value.

6. A method for calculating the linear velocity of a multi-layer wide-width steel wire rope winding drum according to claim 5, characterized in that: In the sensitivity analysis module, the data comparison module has a simple calculation unit, which is used to access the result values ​​calculated by the simulation algorithm module and the verification algorithm module under the same data ratio, and compare the two values; The data comparison module also has a judgment unit, which is pre-set with a range parameter M. When the relative error is within the M value, it is determined that the calculation method of the simulation algorithm module is an accurate measurement method.

7. A method for calculating the linear velocity of a multi-layer wide-width steel wire rope winding drum according to claim 6, characterized in that: The sensitive parameter input and output part is a training unit, which determines the upper and lower vertex values ​​of each sensitive parameter u through continuous training, and the vertex values ​​are completed through dynamic simulation calculation.