Industrial big data analysis ore product production control method

Abstract

The invention discloses an ore product production control method based on industrial big data analysis, and relates to the technical field of ore product production control. By means of an intelligent concave-convex plane detection technology, a system can accurately recognize unqualified quartz stone plates, raw material waste is reduced, and production efficiency is improved. Concave surfaces and key polishing areas of the qualified quartz stone plates are scientifically divided, so that data support is provided for precise polishing of subsequent automatic polishing equipment; meanwhile, an optimized dynamic regulation and control strategy of the grinding path, the feeding speed and the rotating speed is introduced in the method, so that automatic grinding equipment can conduct self-adaptive adjustment according to the characteristics of different areas, the grinding uniformity and quality are improved, the problem of excessive grinding or insufficient grinding is avoided, and the grinding efficiency is improved. Therefore, the flatness of the surface of the quartz stone plate and the overall processing consistency are ensured; in addition, after polishing is completed, a refined flatness detection and roughness detection technology is adopted, and it is ensured that the finished quartz stone plate reaches the high-quality standard.

Description

Technical Field

[0001] The present invention relates to the technical field of mineral product production control, and in particular to a mineral product production control method based on industrial big data analysis. Background Art

[0002] In the production process of modern mineral products, the processing quality of materials such as quartz slabs has an important impact on the performance and market competitiveness of the final product. Quartz slabs usually need to go through multiple complex processing steps, including initial material testing, pressing, grinding, polishing, etc., to ensure its surface flatness and smoothness.

[0003] Existing quartz slab inspection methods mainly rely on manual experience or simple mechanical measuring equipment. These methods often have problems with insufficient accuracy and high misjudgment rates, resulting in some quartz slabs that do not meet quality standards entering the subsequent processing links, affecting the qualification rate of the final product. In addition, most existing polishing methods use fixed feed speeds and rotation speeds, and cannot be planned and adjusted in advance for different surface morphologies, which can easily lead to insufficient or excessive polishing, thereby affecting the flatness and smoothness of the product. In the polishing process, due to the lack of accurate measurement and dynamic adjustment mechanism for roughness, the polishing time is usually set based on experience, which may lead to excessive processing time or uneven polishing quality, affecting production efficiency and product quality. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method for controlling the production of mineral products based on industrial big data analysis, which solves the problems in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for controlling the production of mineral products based on industrial big data analysis, comprising:

[0006] Step 1: Conduct a concave-convex surface test on the initial quartz slab. According to the result of the concave-convex surface test, determine whether the initial quartz slab is a qualified quartz slab. If it is, determine the concave surface grinding area and key grinding area of ​​the qualified quartz stone. Otherwise, mark it as an unqualified quartz slab.

[0007] Step 2: According to the specific location of the key grinding area, formulate a reasonable grinding path, grinding feed speed and grinding rotation speed of the automatic grinding equipment;

[0008] Step 3: The automatic polishing equipment polishes the quartz slab according to the specified polishing path, polishing feed speed and polishing rotation speed;

[0009] Step 4: After the automatic polishing equipment is finished, the polished surface of the quartz stone plate is tested for flatness to determine whether the polished surface of the quartz stone plate is qualified, and the polished surface of the qualified quartz stone plate is tested for roughness. According to the roughness test result, the subsequent polishing time is set accordingly, and the quartz stone plate is polished according to the set subsequent polishing time to finally form a finished quartz stone plate.

[0010] As a further solution of the present invention: in the step 1, the specific method of performing concave-convex plane detection on the initial quartz stone plate is:

[0011] Align the quartz slab and place it stably, establish a horizontal reference plane on the detection surface of the quartz slab, and establish a parallel reference plane at a height h from the horizontal reference plane;

[0012] Then, n vertical lines are drawn from the parallel reference plane to the detection surface of the quartz slab, and then the height of each vertical line in the n vertical lines is counted and marked as Li, and Li is compared with the preset height H1 to obtain the number of vertical lines greater than H1, which is marked as g1. If g1>Ga, it indicates that the thickness of the quartz slab does not meet the standard, and the quartz slab is marked as an unqualified quartz slab, otherwise it is marked as a qualified quartz slab; wherein, 1≤i≤n, Ga is a preset value, the preset height H1=h+ha, and ha represents the missing height threshold between the detection surface of the quartz slab and the horizontal reference plane;

[0013] When the quartz slab is marked as a qualified quartz slab, obtain a vertical line greater than the preset height H2, compare Li with the preset height H2, obtain a vertical line greater than H2, mark it as a concave vertical line, determine the foot point of each concave vertical line and the horizontal reference plane, take each foot point as the center of the circle, draw a circle with a radius of r, and determine the area of ​​the circle as the concave polishing area of ​​the quartz slab; wherein the preset height H2 = h + h b ,h b It is expressed as the missing height limit value between the detection surface of the quartz plate and the horizontal reference plane, and h b <ha。

[0014] As a further solution of the present invention: it is characterized in that it also includes:

[0015] Based on the concave grinding area determined by the detection surface of the quartz stone plate, the remaining area is uniformly marked as the key grinding area.

[0016] As a further solution of the present invention: In step 2, the specific method of formulating the grinding path is:

[0017] Get the width of the automatic polishing equipment during polishing and mark it as c1, determine the length and width of the quartz slab, get the width of the quartz slab and mark it as w1, and use the formula If x is a decimal, round it up, and then divide the width of the quartz slab into x running segments;

[0018] The areas of the key polishing regions on the x travel segments are determined, and the key polishing regions on each travel segment are sorted from small to large according to the size of the area, and the polishing order of the x travel segments is determined in sequence according to the sorting result;

[0019] The grinding order of the x travel segments is determined, the automatic polishing equipment sets a round-trip grinding path according to the grinding order of the x travel segments, and grinds the x travel segments of the quartz stone plate in sequence according to the grinding path.

[0020] As a further solution of the present invention: the specific method of formulating the grinding rotation speed is:

[0021] Set the basic rotation speed of the automatic polishing equipment when polishing the quartz stone plate base , and set the upper and lower limits of the speed ω min With ω max ;

[0022] According to the specific positions of the key polishing area and the concave polishing area, the height deviation function Δ(x) of the quartz slab is determined, wherein Δ(x)>0 indicates that the area is the key polishing area, and Δ(x)≤0 indicates that the area is the concave polishing area;

[0023] Then, the rotation speed ω(x) of the corresponding position of the automatic polishing equipment during polishing is determined by the following formula:

[0024]

[0025] Where α and β are adjustment coefficients.

[0026] As a further solution of the present invention: the specific method of formulating the feed speed is:

[0027] According to the specific positions of the key polishing area and the concave polishing area, the height deviation function Δ(x) of the quartz slab is determined, wherein Δ(x)>0 indicates that the area is the key polishing area, and Δ(x)≤0 indicates that the area is the concave polishing area;

[0028] To achieve smooth switching of feed speed in different areas, the logistic function is used as the mapping function:

[0029]

[0030] In the formula, k>0 is the parameter that controls the steepness of the function; Δ0 is the threshold parameter;

[0031] Set the upper and lower limits of the feed speed as follows: Minimum feed speed: V min , Maximum feed speed: V max ;

[0032] Map the logistic function to the speed range and define the feed speed as:

[0033] V(Δ(x))=V min +(V max -V min )·f(Δ)

[0034] Where V(Δ(x)) represents the feed speed of the automatic polishing equipment at the corresponding position during polishing.

[0035] As a further solution of the present invention: In the step 4, the polished surface of the quartz stone plate is tested for flatness to determine whether the polished surface of the quartz stone plate is qualified, and the specific method of performing roughness testing on the polished surface of the qualified quartz stone plate is:

[0036] Align and stably place the quartz slab, establish a bottom reference plane on the polished surface of the quartz slab, and establish an upper reference plane parallel to the bottom reference plane at a height R from the bottom reference plane;

[0037] Then, draw m vertical lines from the upper reference plane to the polished surface of the quartz slab, and the distance between each vertical line is the same. Then count the height of each vertical line in the m vertical lines, mark it as Di, and compare Di with the distance height R:

[0038] If the height Di of each vertical line among the m vertical lines is within the range [Rd, R+d], the flatness of the quartz slab is determined to be qualified, otherwise the flatness of the quartz slab is determined to be unqualified; where d is the acceptable error value;

[0039] Then, the polished surface of the qualified quartz slab is tested for roughness. The height Di of each vertical line among the m vertical lines is determined by the formula R-Di, and the number of m vertical lines with positive calculation results is determined and marked as S1. Then, the ratio SM of S1 and m is calculated, and the roughness of the polished surface is determined according to the ratio SM:

[0040] If SM∈[0,0.3]∪[0.7,1], it indicates that the polished surface roughness of the quartz slab is small;

[0041] If SM∈(0.3, 0.7), it indicates that the polished surface roughness of the quartz slab is relatively large.

[0042] As a further solution of the present invention: also include:

[0043] The grinding surface roughness of the quartz slab is relatively small, and the polishing time of the grinding surface of the quartz slab is set to T1; the grinding surface roughness of the quartz slab is relatively large, and the polishing time of the grinding surface of the quartz slab is set to T2; and T2>T1.

[0044] The present invention provides a method for controlling the production of mineral products based on industrial big data analysis. Compared with the prior art, it has the following beneficial effects:

[0045] The present invention uses intelligent concave-convex plane detection technology, and the system can accurately identify unqualified quartz slabs, reduce the waste of raw materials, and scientifically divide the concave surface and key polishing area of ​​qualified quartz slabs, thereby providing data support for the subsequent precise polishing of automatic polishing equipment. At the same time, the method introduces an optimized polishing path, a dynamic control strategy for the feed speed and the rotation speed, so that the automatic polishing equipment can be adaptively adjusted according to the characteristics of different areas, improve the uniformity and quality of polishing, avoid the problem of over-polishing or under-polishing, and thus ensure the flatness of the quartz slab surface and the overall processing consistency.

[0046] In addition, after polishing, this method uses refined flatness detection and roughness detection technology to ensure that the finished quartz slabs meet high quality standards, and intelligently adjusts the polishing time based on the detection results to further optimize the processing flow and improve the smoothness and market competitiveness of the final product. The entire method realizes the intelligentization, automation and efficiency of the mineral product production process, which not only reduces manual intervention and human errors, but also improves the controllability and consistency of production. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The present invention will be further described below in conjunction with the accompanying drawings.

[0048] Figure 1 This is a flow chart of the steps of a mineral product production control method based on industrial big data analysis of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Embodiment 1

[0051] See also Figure 1 , the present invention provides a method for controlling the production of mineral products based on industrial big data analysis, comprising:

[0052] Step 1: Conduct a concave-convex surface test on the initial quartz slab, and determine whether the initial quartz slab is a qualified quartz slab based on the result of the concave-convex surface test. If the initial quartz slab is not marked as an unqualified quartz slab, then determine the concave surface grinding area and the key grinding area of ​​the initial quartz slab;

[0053] It should be noted that the initial quartz slab is firstly subjected to a concave-convex plane detection. The main principle of the concave-convex plane detection is to determine the convex plane as the key grinding area according to the concave-convex plane detection and the standard thickness of the quartz slab. At the same time, it is judged whether the thickness of the concave plane of the initial quartz slab is less than the standard thickness of the quartz slab. If it is less than the standard thickness of the quartz slab, the quartz slab is marked as an unqualified quartz slab and is removed. If it is not less than the standard thickness of the quartz slab, the quartz slab is marked as a qualified quartz slab. The standard thickness of the quartz slab is expressed as the thickness of the final quartz slab product formed after the initial quartz slab is ground and polished. After the quartz slab is marked as an unqualified quartz slab and removed, the removed quartz slab is re-thickened, and then it is re-judged whether it is a qualified initial quartz slab.

[0054] The specific method of performing concave-convex plane detection on the initial quartz stone plate is:

[0055] AS1: Align and place the quartz slab stably, and establish a horizontal reference plane on the test surface of the quartz slab. At the same time, establish a parallel reference plane at a distance of height h;

[0056] AS2: Then make n vertical lines from the parallel reference plane to the detection surface of the quartz slab, then count the height of each vertical line in the n vertical lines and mark it as Li, and compare Li with the preset height H1, obtain the vertical lines greater than H1, and count their number, marked as g1, if g1>Ga, it indicates that the thickness of the quartz slab does not meet the standard, and the quartz slab is marked as unqualified quartz slab, otherwise no treatment is done; where 1≤i≤n, Ga is a preset value, which is specifically determined by professional staff, the preset height H1=h+ha, ha represents the missing height threshold between the detection surface of the quartz slab and the horizontal reference surface, which is specifically determined by professional staff based on specific circumstances;

[0057] AS3: When the quartz slab is not marked as unqualified quartz slab, obtain a vertical line greater than the preset height H2, compare Li with the preset height H2, obtain a vertical line greater than H2, mark it as a concave vertical line, determine the foot point of each concave vertical line and the horizontal reference plane, draw a circle with each foot point as the center and a radius of r, and determine the area of ​​the circle as the concave polishing area of ​​the quartz slab; wherein the preset height H2 = h + h b ,h b It is expressed as the missing height limit value between the detection surface of the quartz plate and the horizontal reference plane, and h b <ha;

[0058] It should be noted that the foot point of each concave perpendicular line and the horizontal reference plane is determined, and a circle is drawn with each foot point as the center and a radius of r, and the area of ​​the circle is determined as the concave polishing area of ​​the quartz stone plate. In this process, each foot point is used as the center to draw a circle, and the area of ​​the circle includes the overlapping part;

[0059] AS4: Based on the concave grinding area determined by the quartz slab detection surface, the remaining areas are uniformly marked as key grinding areas;

[0060] Through the detection of concave and convex surfaces, quartz slabs with substandard thickness can be effectively identified and removed, ensuring that the raw materials entering the subsequent processing links meet the standards and reducing the scrap rate in the later stage; in addition, the use of standard thickness for judgment improves the degree of automation of detection, reduces human judgment errors, and makes quality inspection more accurate and stable; at the same time, through the intelligent division of concave grinding areas and key grinding areas, different processing strategies can be adopted for different parts, making the grinding process more efficient, reducing unnecessary processing, and improving overall production efficiency;

[0061] Step 2: Determine the concave grinding area and key grinding area on the qualified quartz slab, and formulate a reasonable grinding path, grinding feed speed and grinding rotation speed of the automatic polishing equipment according to the specific location of the key grinding area;

[0062] Determine the concave grinding area and key grinding area on the qualified quartz slab, and according to the specific location of the key grinding area, formulate the reasonable grinding path, grinding feed speed and grinding rotation speed of the automatic polishing equipment as follows:

[0063] The specific method of formulating a reasonable grinding path is:

[0064] BS1: Get the width of the automatic polishing equipment during polishing and mark it as c1, determine the length and width of the quartz slab, get the width of the quartz slab and mark it as w1, and use the formula If x is a decimal, round it up, and then divide the width of the quartz slab into x running segments;

[0065] BS2: Determine the areas of the key polishing regions on the x travel segments, sort the key polishing regions on each travel segment from small to large according to the size of the areas, and determine the polishing order of the x travel segments in sequence according to the sorting results;

[0066] Specifically, according to the size of the key polishing area on each running section, the automatic polishing equipment first gives priority to polishing the key polishing area with the smallest area among the x running sections, and polishes along the length direction of the quartz slab;

[0067] BS3: Determine the grinding order of x travel segments, the automatic polishing equipment sets the round-trip grinding path according to the grinding order of x travel segments, and grinds the x travel segments of the quartz stone plate in sequence according to the grinding path;

[0068] The specific method of formulating a reasonable grinding rotation speed is:

[0069] CS1: Set the basic rotation speed of the automatic polishing equipment when polishing the quartz stone plate base , and set the upper and lower limits of the speed ω min With ω max ,ω base ,ω min and ω max The specific settings are determined by professional staff according to the material of the quartz slab;

[0070] CS2: According to the specific positions of the key polishing area and the concave polishing area, determine the height deviation function Δ(x) of the quartz slab, where Δ(x)>0 indicates that the area is the key polishing area, and Δ(x)≤0 indicates that the area is the concave polishing area;

[0071] CS3: Then the rotation ω(x) of the corresponding position of the automatic polishing equipment during polishing is determined by the following formula:

[0072]

[0073] Wherein, α and β are adjustment coefficients, which are used to sensitively control the relationship between the rotation speed and the height deviation; specifically, the adjustment coefficients α and β can be determined by the following method;

[0074] If in the key grinding area, the maximum convex height is Δ max , in order to reduce the speed to the lower limit at the most serious protrusion min , you can take:

[0075]

[0076] At this time, when Δ(x)=Δ max When:

[0077] ω(x)=ω base -α·Δ max =ω min

[0078] If the maximum depression depth (absolute value) in the concave grinding area is |Δ min |, in order to increase the speed to the upper limit ω at the most severe depression max , it is advisable to:

[0079]

[0080] Thus, when |Δ(x)|=|Δ min |, there are:

[0081] ω(x)=ω base +β·|Δ min |=ω max

[0082] It should be noted that in the key grinding area, since the protruding parts of the surface are relatively complex and uneven, higher grinding quality is required to ensure flatness; if the rotation speed is too fast, the contact time between the grinding tool and the surface is short, which may lead to insufficient grinding or uneven grinding, and thus fail to meet the requirements of high-quality grinding; reducing the rotation speed can increase the contact time between the grinding tool and the workpiece at the protruding parts, thereby ensuring sufficient material removal and more uniform surface treatment;

[0083] The specific method of formulating a reasonable feed speed is:

[0084] DS1: According to the specific positions of the key polishing area and the concave polishing area, determine the height deviation function Δ(x) of the quartz slab, where Δ(x)>0 indicates that the area is the key polishing area, and Δ(x)≤0 indicates that the area is the concave polishing area;

[0085] DS2: Achieve smooth switching of feed speed in different areas, using logistic function as mapping function:

[0086]

[0087] In the formula, k>0 is a parameter that controls the steepness of the function and determines the sensitivity to deviation changes; Δ0 is a threshold parameter, which can generally be taken as 0 (i.e., the ideal plane is the dividing point);

[0088] DS3: Set the upper and lower limits of the feed rate: Minimum feed rate: V min , Maximum feed speed: V max ;

[0089] Map the logistic function to the speed range and define the feed speed as:

[0090] V(Δ(x))=V min +(V max -V min )·f(Δ)

[0091] That is, when Δ(x) is significantly negative, f(Δ)→1, then:

[0092] V(Δ(x))→V min +(V max -V min )=V max

[0093] Suitable for concave areas, using higher feed speeds to improve processing efficiency;

[0094] When Δ(x) is significantly positive, f(Δ)→0, then

[0095] V(Δ)→V min

[0096] Suitable for key grinding areas, use a lower feed speed to ensure sufficient grinding;

[0097] It should be noted that the typical deviation values ​​of different areas were obtained through preliminary tests, and the safe and effective V min With V max , select Δ0 (for example, 0 or a slight offset based on statistical data), determine the value of k according to processing requirements, so that the feed speed is sufficiently sensitive to the change of Δ(x) but not too drastic; before the automatic polishing equipment starts polishing, calculate the corresponding Δ(x) value for each polishing path node according to the concave and convex plane detection data, and calculate the real-time feed speed V(Δ) using the above formula;

[0098] By rationally planning the grinding path, the ineffective movement of the equipment can be minimized, making the grinding process more coherent and smooth, and improving the overall processing efficiency; in addition, the method of dynamically adjusting the feed speed is adopted, using a higher feed speed in the concave area to speed up the processing, and reducing the feed speed in the key grinding area to ensure sufficient grinding. This method can take into account both the processing quality and processing efficiency, avoiding insufficient grinding due to too fast or wasting time due to too slow; for the optimization adjustment of the rotation speed, by setting the height deviation function, the polishing equipment automatically adjusts the speed in different height deviation areas, reduces the speed in the protruding part to ensure fine grinding, and increases the speed in the concave part to ensure uniform processing. This method effectively avoids the uneven grinding phenomenon that may occur in the traditional grinding method, and improves the overall flatness and grinding quality of the quartz stone plate;

[0099] Step 3: According to the set grinding path, grinding feed speed and grinding rotation speed, the automatic polishing equipment starts to grind the quartz stone plate according to the set grinding path, grinding feed speed and grinding rotation;

[0100] Step 4: After the automatic polishing equipment is finished, the polished surface of the quartz stone plate is tested for flatness to determine whether the polished surface of the quartz stone plate is qualified. At the same time, the polished surface of the qualified quartz stone plate is tested for roughness. According to the roughness test results, the subsequent polishing time is set accordingly to improve the plane smoothness of the quartz stone plate, and finally form a finished quartz stone plate.

[0101] Embodiment 2

[0102] In the specific implementation process of this embodiment, based on the first embodiment, and different from the first embodiment, this embodiment further describes the content in step 4:

[0103] The specific method of testing the flatness of the polished surface of the quartz slab to determine whether the polished surface of the quartz slab is qualified and testing the roughness of the polished surface of the qualified quartz slab is as follows:

[0104] P1: Align and place the quartz slab stably, and establish a bottom reference plane on the polished surface of the quartz slab. At the same time, establish an upper reference plane parallel to the bottom reference plane at a height of R.

[0105] P2: Then make m vertical lines from the upper reference plane to the polished surface of the quartz slab, and the distance between each vertical line is the same. Then count the height of each vertical line in the m vertical lines and mark it as Di, and compare Di with the distance height R:

[0106] If the height Di of each vertical line among the m vertical lines is within the range [Rd, R+d], the flatness of the quartz slab is judged to be qualified, otherwise the flatness of the quartz slab is judged to be unqualified; where d is the acceptable error value, which is specifically determined by professional staff;

[0107] P3: Then, the polished surface of the qualified quartz slab is tested for roughness. The height Di of each vertical line among the m vertical lines is determined by the formula R-Di, and the number of m vertical lines with positive calculation results is determined, and marked as S1. Then, the ratio SM of S1 and m is calculated, and the roughness of the polished surface is determined according to the ratio SM:

[0108] If SM∈[0,0.3]∪[0.7,1], it indicates that the polished surface roughness of the quartz slab is small;

[0109] If SM∈(0.3, 0.7), it indicates that the polished surface roughness of the quartz slab is relatively large;

[0110] P3: The roughness of the polished surface of the quartz slab is relatively small, and the polishing time of the polished surface of the quartz slab is set to T1; the roughness of the polished surface of the quartz slab is relatively large, and the polishing time of the polished surface of the quartz slab is set to T2; and T2>T1, which is specifically determined by professional staff;

[0111] A more accurate flatness detection method is adopted, and statistical analysis of multiple vertical line heights is performed to make the detection results more reliable, avoiding errors that may be caused by single-point measurement and improving the rigor of quality control; secondly, a quantitative roughness detection method is introduced, which automatically determines the smoothness of the polished surface by calculating the ratio, and adjusts the subsequent polishing time based on this, thereby improving the degree of automation and reducing manual intervention; finally, the intelligent polishing time setting can dynamically adjust the polishing time according to the detection data, so that quartz slabs with different roughness can obtain suitable polishing effects.

[0112] Embodiment 3

[0113] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0114] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0115] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for controlling the production of mineral products based on industrial big data analysis, characterized in that: include: Step 1: Conduct a concave-convex surface test on the initial quartz slab. According to the result of the concave-convex surface test, determine whether the initial quartz slab is a qualified quartz slab. If it is, determine the concave surface grinding area and key grinding area of ​​the qualified quartz stone. Otherwise, mark it as an unqualified quartz slab. Step 2: According to the specific location of the key grinding area, formulate a reasonable grinding path, grinding feed speed and grinding rotation speed of the automatic grinding equipment; Step 3: The automatic polishing equipment polishes the quartz slab according to the specified polishing path, polishing feed speed and polishing rotation speed; Step 4: After the automatic polishing equipment is finished, the polished surface of the quartz stone plate is tested for flatness to determine whether the polished surface of the quartz stone plate is qualified, and the polished surface of the qualified quartz stone plate is tested for roughness. According to the roughness test result, the subsequent polishing time is set accordingly, and the quartz stone plate is polished according to the set subsequent polishing time to finally form a finished quartz stone plate.

2. The method for controlling the production of mineral products based on industrial big data analysis according to claim 1, characterized in that: In the step 1, the specific method of performing concave-convex surface detection on the initial quartz stone plate is: Align the quartz slab and place it stably, establish a horizontal reference plane on the detection surface of the quartz slab, and establish a parallel reference plane at a height h from the horizontal reference plane; Then, n vertical lines are drawn from the parallel reference plane to the detection surface of the quartz slab, and then the height of each vertical line in the n vertical lines is counted and marked as Li, and Li is compared with the preset height H1 to obtain the number of vertical lines greater than H1, which is marked as g1. If g1>Ga, it indicates that the thickness of the quartz slab does not meet the standard, and the quartz slab is marked as an unqualified quartz slab, otherwise it is marked as a qualified quartz slab; wherein, 1≤i≤n, Ga is a preset value, the preset height H1=h+ha, and ha represents the missing height threshold between the detection surface of the quartz slab and the horizontal reference plane; When the quartz slab is marked as a qualified quartz slab, obtain a vertical line greater than the preset height H2, compare Li with the preset height H2, obtain a vertical line greater than H2, mark it as a concave vertical line, determine the foot point of each concave vertical line and the horizontal reference plane, take each foot point as the center of the circle, draw a circle with a radius of r, and determine the area of ​​the circle as the concave polishing area of ​​the quartz slab; wherein the preset height H2 = h + h b ,h b It is expressed as the missing height limit value between the detection surface of the quartz plate and the horizontal reference plane, and h b <ha。 3. The method for controlling the production of mineral products based on industrial big data analysis according to claim 2, characterized in that: The specific methods for testing the concave and convex surface of the initial quartz slab also include: Based on the concave grinding area determined by the detection surface of the quartz stone plate, the remaining area is uniformly marked as the key grinding area.

4. The method for controlling the production of mineral products based on industrial big data analysis according to claim 1, characterized in that: In the step 2, the specific method of formulating the grinding path is: Get the width of the automatic polishing equipment during polishing and mark it as c1, determine the length and width of the quartz slab, get the width of the quartz slab and mark it as w1, and use the formula If x is a decimal, round it up, and then divide the width of the quartz slab into x running segments; The areas of the key polishing regions on the x travel segments are determined, and the key polishing regions on each travel segment are sorted from small to large according to the size of the area, and the polishing order of the x travel segments is determined in sequence according to the sorting result; The grinding order of the x travel segments is determined, the automatic polishing equipment sets a round-trip grinding path according to the grinding order of the x travel segments, and grinds the x travel segments of the quartz stone plate in sequence according to the grinding path.

5. The method for controlling the production of mineral products based on industrial big data analysis according to claim 4, characterized in that: The specific method for formulating the grinding rotation speed is: Set the basic rotation speed of the automatic polishing equipment when polishing the quartz stone plate base , and set the upper and lower limits of the speed ω min With ω max ; According to the specific positions of the key polishing area and the concave polishing area, the height deviation function Δ(x) of the quartz slab is determined, wherein Δ(x)>0 indicates that the area is the key polishing area, and Δ(x)≤0 indicates that the area is the concave polishing area; Then, the rotation speed ω(x) of the corresponding position of the automatic polishing equipment during polishing is determined by the following formula: Where α and β are adjustment coefficients.

6. The method for controlling the production of mineral products based on industrial big data analysis according to claim 5, characterized in that: The specific method of setting the feed speed is: According to the specific positions of the key polishing area and the concave polishing area, the height deviation function Δ(x) of the quartz slab is determined, wherein Δ(x)>0 indicates that the area is the key polishing area, and Δ(x)≤0 indicates that the area is the concave polishing area; To achieve smooth switching of feed speed in different areas, the logistic function is used as the mapping function: In the formula, k>0 is the parameter that controls the steepness of the function; Δ0 is the threshold parameter; Set the upper and lower limits of the feed speed as follows: Minimum feed speed: V min , Maximum feed speed: V max ; Map the logistic function to the speed range and define the feed speed as: V(Δ(x))=V min +(V max -V min )·f(Δ) Where V(Δ(x)) represents the feed speed of the automatic polishing equipment at the corresponding position during polishing.

7. The method for controlling the production of mineral products based on industrial big data analysis according to claim 1, characterized in that: In the step 4, the specific method of performing a flatness test on the polished surface of the quartz stone plate to determine whether the polished surface of the quartz stone plate is qualified and performing a roughness test on the polished surface of the qualified quartz stone plate is as follows: Align and stably place the quartz slab, establish a bottom reference plane on the polished surface of the quartz slab, and establish an upper reference plane parallel to the bottom reference plane at a height R from the bottom reference plane; Then, draw m vertical lines from the upper reference plane to the polished surface of the quartz slab, and the distance between each vertical line is the same. Then count the height of each vertical line in the m vertical lines, mark it as Di, and compare Di with the distance height R: If the height Di of each vertical line among the m vertical lines is within the range [Rd, R+d], the flatness of the quartz slab is determined to be qualified, otherwise the flatness of the quartz slab is determined to be unqualified; where d is the acceptable error value; Then, the polished surface of the qualified quartz slab is tested for roughness. The height Di of each vertical line among the m vertical lines is determined by the formula R-Di, and the number of m vertical lines with positive calculation results is determined and marked as S1. Then, the ratio SM of S1 and m is calculated, and the roughness of the polished surface is determined according to the ratio SM: If SM∈[0,0.3]∪[0.7,1], it indicates that the polished surface roughness of the quartz slab is small; If SM∈(0.3, 0.7), it indicates that the polished surface roughness of the quartz slab is relatively large.

8. The method for controlling the production of mineral products based on industrial big data analysis according to claim 7, characterized in that: Also includes: The grinding surface roughness of the quartz slab is relatively small, and the polishing time of the grinding surface of the quartz slab is set to T1; the grinding surface roughness of the quartz slab is relatively large, and the polishing time of the grinding surface of the quartz slab is set to T2; and T2>T1.

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