METHOD FOR OBTAINING A PREDICTIVE MODEL OF THE GRANULOMETRIC COMPOSITION OF PARTICLES OF MILLED MATERIAL, A PREDICTION METHOD AND A DEVICE

Claims

1. A method for obtaining a predictive model of the granulometric composition of milled particles, characterized by the fact that sifting a plurality of groups of test particles obtained as a result of performing a plurality of test millings to obtain a mass fraction of the residue on the sieve corresponding to each of the plurality of sieves, after performing said plurality of test millings on the asphalt layer within the framework of a plurality of sets of test conditions, wherein each set of the plurality of sets of test conditions comprises: a rotation speed, a forward speed and a milling depth of the milling drum of the cold reclaimer at the place of work, wherein said sieves have different mesh sizes; calculate the characteristic parameter of the cutting graph of the milling drum in accordance with the location of the cutting teeth of the milling drum, the rotation speed, the speed of forward movement and the milling depth; establishing, using regression analysis, a functional relationship between the mass fraction of the residue on the sieve corresponding to each of the plurality of sieves obtained as a result of milling testing and the characteristic parameter of the cutting graph of the milling drum in accordance with the rotation speed, the forward speed and the milling depth, wherein the mass fraction of the residue on the sieve corresponding to each of the plurality of sieves is a function of the characteristic parameter of the cutting graph of the milling drum; and normalize the functional dependence to obtain a predictive model of the granulometric composition of milled particles.

2. The method according to paragraph 1, in which, when calculating the characteristic parameter of the cutting graph of the milling drum in accordance with the location of the cutting teeth of the milling drum, the rotation speed, the speed of forward movement and the milling depth: the position of the x-th cutting tooth of the milling drum is calculated in the case where the x-th cutting tooth performs cutting to the maximum milling thickness in accordance with the location of the cutting tooth of the milling drum, the rotation speed, the forward speed and the milling depth, where x is a positive integer, and x > 1; calculating an expression in the form of an equation of a collapse line corresponding to the x-th cutting tooth, in accordance with the position of the x-th cutting tooth of the milling drum in the case where the x-th cutting tooth cuts to the maximum milling thickness, and the collapse angle of the x-th cutting tooth when milling the asphalt layer, to obtain expressions in the form of equations of collapse lines corresponding to a plurality of cutting teeth of the milling drum, wherein the plurality of cutting teeth contains the x-th cutting tooth; and The characteristic parameter of the cutting head template corresponding to the x-th cutting tooth is calculated as the characteristic parameter of the cutting graph of the milling drum in accordance with the specified expressions in the form of equations of the collapse lines corresponding to the set of cutting teeth of the milling drum and the cutting graph of the milling drum.

3. The method according to paragraph 2, in which the coordinates of the position of the x-th cutting tooth of the milling drum in the case when the x-th cutting tooth performs cutting to the maximum milling thickness are (L x , P x ), where L x – the abscissa of the x-th cutting tooth on the cutting graph in the direction parallel to the axis of the milling drum, which is a known value, P x – the ordinate of the x-th cutting tooth on the cutting graph in the direction perpendicular to the axis of the milling drum, , Where , where C x– inscribed angle of the x-th cutting tooth, ν – translational speed of the milling drum, n – rotational speed of the milling drum, H – milling depth, R – milling radius of the milling drum, m – number of revolutions made by the x-th cutting tooth, m ≥ 0, and m is an integer.

4. The method according to paragraph 3, in which, when calculating the characteristic parameter of the cutting head template corresponding to the x-th cutting tooth, in accordance with expressions in the form of equations of the lines of collapse corresponding to a set of cutting teeth of the milling drum, and the cutting graph of the milling drum, expressions are obtained in the form of equations of a set of edges of the cutting head template corresponding to the x-th cutting tooth, in accordance with expressions in the form of equations of the collapse lines corresponding to a set of cutting teeth of the milling drum; calculate the coordinates of the positions of the plurality of vertices of the cutting head template corresponding to the x-th cutting tooth in accordance with the specified expressions in the form of equations of the plurality of edges of the cutting head template corresponding to the x-th cutting tooth; and the characteristic parameter of the cutting head template corresponding to the x-th cutting tooth is calculated in accordance with the specified coordinates of the positions of the plurality of vertices.

5. The method according to claim 4, in which the characteristic parameter of the cutting head template corresponding to the x-th cutting tooth comprises: the length of the hypotenuse of a right triangle constructed inside the cutting head template with one edge of the cutting head template that is an edge with a right angle, in accordance with a given construction method.

6. The method according to claim 1, in which the functional relationship between the mass fraction of the residue on the sieve corresponding to each of the plurality of sieves and the characteristic parameter of the cutting graph of the milling drum has the following form: , Where – mass fraction of residue on the sieve φ, τ – characteristic parameter of the cutting graph of the milling drum, A φ , B φ , C φ and D φ – coefficients.

7. The method according to paragraph 1, in which, when normalizing the functional dependence calculate the theoretical value of the mass fraction of the residue on the sieve corresponding to each of the plurality of sieves, in accordance with the characteristic parameter of the cutting graph of the milling drum and the functional dependence; the sum of the theoretical values ​​of the mass fractions of the residues on the sieves corresponding to the plurality of sieves is calculated in accordance with the theoretical value of the mass fraction of the residue on the sieve corresponding to each of the plurality of sieves; and normalize the specified functional dependence using the specified sum of theoretical values ​​of the mass fractions of residues on sieves corresponding to the set of sieves.

8. The method according to claim 1, wherein the milling drum comprises: drum; and a group of rows of cutting teeth arranged in a spiral on a drum, wherein the cutting teeth are arranged on the milling drum in such a way that: said group of rows of cutting teeth contain a plurality of sets of cutting teeth located in the axial direction of the drum, wherein each of the plurality of sets of cutting teeth contains a first cutting tooth, a second cutting tooth and a third cutting tooth, wherein the first cutting tooth, the second cutting tooth and the third cutting tooth are located in different rows of said group of rows of cutting teeth, wherein the projection of the second cutting tooth onto the axis of the drum is between the projection of the first cutting tooth onto the axis of the drum and the projection of the third tooth onto the axis of the drum, and the difference between the inscribed angle of the third cutting tooth and the inscribed angle of the first cutting tooth is less than the difference between the inscribed angle of the second cutting tooth and the inscribed angle of the first cutting tooth.

9. The method according to claim 8, wherein during the milling of the asphalt layer by the milling drum, the asphalt layer is cut in the following order: the first cutting tooth, the third cutting tooth and the second cutting tooth.

10. A method for predicting the granulometric composition of regenerated particles, characterized by the fact that introducing a condition parameter into a predictive model of the particle size distribution of the milled particles, wherein the predictive model of the particle size distribution of the milled particles is obtained by the method according to any one of paragraphs 1-9; and the mass fraction of the residue on the sieve corresponding to each sieve is calculated using the specified predictive model of the particle size distribution of the milled particles and in accordance with the specified condition parameter.

11. The method according to claim 10, wherein said condition parameter comprises the speed of rotation of the milling drum and the speed of translational movement of the milling drum.

12. The method according to claim 11, wherein the condition parameter further comprises a milling depth.

13. A device for obtaining a predictive model of the granulometric composition of milled particles, comprising: a milling test unit configured to sift a plurality of groups of test particles obtained as a result of performing a plurality of test millings to obtain a mass fraction of the residue on the sieve corresponding to each of the plurality of sieves, after performing said plurality of test millings on the asphalt layer within the framework of a plurality of sets of test conditions, wherein each set of the plurality of sets of test conditions comprises: a rotation speed, a forward speed and a milling depth of the milling drum of the cold reclaimer device at the place of work, wherein said sieves have different mesh sizes; a computing unit configured to calculate a characteristic parameter of the cutting graph of the milling drum in accordance with the location of the cutting tooth of the milling drum, the rotation speed, the forward speed and the milling depth; a regression analysis unit configured to establish, using regression analysis, a functional relationship between the mass fraction of the residue on the sieve corresponding to each of the plurality of sieves obtained as a result of milling testing and the characteristic parameter of the cutting graph of the milling drum in accordance with the rotation speed, the forward speed and the milling depth, wherein the mass fraction of the residue on the sieve corresponding to each of the plurality of sieves is a function of the characteristic parameter of the cutting graph of the milling drum; and a normalization unit designed with the ability to normalize a functional dependence to obtain a predictive model of the granulometric composition of milled particles.

14. A device for obtaining a predictive model of the granulometric composition of milled particles, comprising: memory and a processor connected to a memory, wherein the processor is configured to perform, in accordance with instructions stored in the memory, the method according to any one of claims 1 to 9.

15. A device for predicting the granulometric composition of regenerated particles, comprising: an input module configured to input a condition parameter into a predictive model of the particle size distribution of the milled particles, wherein the predictive model of the particle size distribution of the milled particles is obtained by the method according to any one of paragraphs 1-9; and a calculation module configured to calculate the mass fraction of the residue on the sieve corresponding to each sieve using a predictive model of the particle size distribution of the milled particles and in accordance with a condition parameter.

16. A device for predicting the granulometric composition of regenerated particles, comprising: memory and a processor connected to a memory, wherein the processor is configured to perform, in accordance with instructions stored in the memory, the method according to any one of paragraphs 10-12.

17. A milling drum for a cold regeneration device at the work site, comprising: drum and a group of rows of cutting teeth arranged in a spiral on a drum, wherein said group of rows of cutting teeth comprises a plurality of sets of cutting teeth arranged in the axial direction of the drum; wherein each of the plurality of sets of cutting teeth comprises a first cutting tooth, a second cutting tooth and a third cutting tooth, wherein the first cutting tooth, the second cutting tooth and the third cutting tooth are located in different rows from the said group of rows of cutting teeth, wherein the projection of the second cutting tooth onto the axis of the drum is between the projection of the first cutting tooth onto the axis of the drum and the projection of the third cutting tooth onto the axis of the drum, and the difference between the inscribed angle of the third cutting tooth and the inscribed angle of the first cutting tooth is less than the difference between the inscribed angle of the second cutting tooth and the inscribed angle of the first cutting tooth.

18. The milling drum according to claim 17, wherein during the milling of the asphalt layer by the milling drum, the asphalt layer is cut by cutting teeth in the following order: the first cutting tooth, the third cutting tooth and the second cutting tooth.

19. A milling drum according to claim 17, wherein the distance between adjacent cutting teeth in the axial direction of the drum is in the range from 16 to 22 millimeters.

20. A device for cold regeneration at the work site, comprising: a device for predicting the particle size distribution of regenerated particles according to paragraph 15 or 16; and / or a milling drum for a cold regeneration device at the place of work according to any of paragraphs 17-19.

21. A machine-readable storage medium on which instructions of a computer program are stored, when executed by a processor, the processor implements the method according to any of paragraphs 1-12.