A method and system for producing high-precision batching painting pigments

Abstract

The present invention relates to the field of intelligent production, and provides a method and system for producing a high-precision batching paint. In the batching process of the paint, the rheological properties of the paint are monitored by a rheometer to obtain monitoring data, a plasticity interval control model is established according to the monitoring data, the performance stability interval of the paint is determined by the plasticity interval control model, and the rheological properties of the paint are continuously monitored in real time. The method can accurately monitor and control the rheological properties of the paint without manual sampling and judgment, greatly saving the process cost of real-time monitoring, reducing the production loss rate of the paint, and making the viscosity of the paint always stable within a reasonable range through precise batching, so as to realize efficient and controllable pigment batching process.

Description

Technical Field

[0001] The present invention relates to the field of intelligent production, and in particular to a method for producing a high-precision batching painting pigment. Background Art

[0002] High-precision batching refers to the method and process of accurately and finely controlling the ratio of raw materials during the production process. High-precision batching technology can ensure that the finished product of painting pigments has excellent consistency and stability, thereby meeting the high color accuracy requirements of painting pigments in different application fields.

[0003] The production process of painting pigments with high-precision ingredients involves multiple links such as raw material preparation, formula design, and intelligent feeding. In the feeding process, the current mainstream approach is to achieve high-precision feeding through an automated batching system. The automated batching system consists of metering devices, controllers, parameter monitors and other equipment, which can accurately control the delivery and ratio of raw materials. At the same time, through preset formula parameters and control algorithms, the pigment base can be accurately measured and mixed according to actual needs.

[0004] However, in the actual production process of painting pigments, mainstream automated batching systems usually lack effective real-time monitoring and fault control methods. Key indicators such as pigment particle size and rheology often need to rely on offline laboratory tests and manual calculations. Real-time data in the production process is difficult to be accurately captured, resulting in large time delays and uncertainties in the operation of high-precision batching, which in turn limits the production efficiency and quality control level of painting pigments. Therefore, in the production process of painting pigments, the introduction of real-time monitoring technology and algorithm optimization is the key to achieving high-precision batching of pigments. Summary of the invention

[0005] The purpose of the present invention is to provide a method for producing a high-precision paint with a high-precision formulation, so as to solve one or more technical problems existing in the prior art and at least provide a beneficial choice or create conditions.

[0006] The present invention provides a method and system for producing a high-precision batching paint. In the batching process of the paint, the rheological properties of the paint are monitored by a rheometer to obtain monitoring data, a plasticity interval control model is established based on the monitoring data, the performance stability interval of the paint is determined by the plasticity interval control model, and the rheological properties of the paint are continuously monitored in real time. The method can accurately monitor and control the rheological properties of the paint without manual sampling and judgment, greatly saving the process cost of real-time monitoring, reducing the production loss rate of the paint, and through precise batching, the viscosity of the paint is always stable within a reasonable range, realizing efficient and controllable pigment batching process.

[0007] In order to achieve the above object, according to one aspect of the present invention, a method for producing a high-precision batching paint is provided, the method comprising the following steps:

[0008] S100, in the process of preparing the paint, the rheological properties of the paint are monitored by a rheometer to obtain monitoring data;

[0009] S200, establishing a plasticity interval control model based on monitoring data;

[0010] S300, determining the performance stability range of painting pigments through the plasticity range control model;

[0011] S400 continuously monitors the rheological properties of paints in real time.

[0012] Optionally, the rheometer is any one of a RXS rheometer, an ARES_G2 rheometer, and a HAAKE rheometer.

[0013] Furthermore, in step S100, the rheological properties of the painting pigment are monitored by a rheometer, and the method for obtaining the monitoring data is specifically as follows:

[0014] The rheometer is connected to the host through a data cable, and the probe of the rheometer is contacted with the painting pigment. The probe of the rheometer is used to measure the real-time shear stress data of the painting pigment during the batching process, and the real-time shear stress data is returned to the rheometer. The real-time shear stress data of the painting pigment in the rheometer is read and output by the host, and the real-time shear stress data of the painting pigment is used as monitoring data.

[0015] Furthermore, in step S200, the method for establishing the plasticity interval control model according to the monitoring data is:

[0016] S201, rss(i) represents the shear stress of the paint at the i-th second in the batching process, i is a serial number, and the value range of i is i=1,2,…,N, then rss(i)=rss(1),rss(2),…,rss(N), N is generally set to any integer in the interval [600,3600] (that is, 10 minutes to 60 minutes is used as the length of the monitoring interval), and go to S202;

[0017] S202, create a blank array rss[], add rss(1), rss(2), ..., rss(N) to the array rss[] in sequence, create an array sym[] of length N, and use sym(i) to represent the i-th element in the array sym[], where the value of sym(i) is determined by the first equation: sym(i) = [rss(i) - avg(rss[])] / (r1 - r2), and go to S203;

[0018] Wherein, rss(i) is the i-th element in the array rss[], avg(rss[]) is the average value of all elements in the array rss[], r1 is the upper quartile of the array rss[], and r2 is the lower quartile of the array rss[];

[0019] S203, initialize a variable j. The value range of the variable j is the same as that of the serial number i. Start traversing the variable j from j = 1. Let sym(j) represent the j-th element corresponding to the value of the variable j in the array sym[], and go to S204;

[0020] Define the second equation as: ;

[0021] Wherein, pet is the second value determined by the second equation, ln() is the natural logarithm function, and sym(i - 1) is the previous element of sym(i) in the array sym[];

[0022] S204, if the current sym(j) satisfies abs(sym(j + 1) - sym(j)) < pet, then mark the current sym(j) as a plastic element; wherein, abs() represents taking the absolute value of the number inside (), and sym(j + 1) is the (j + 1)-th element corresponding to the value of the variable j + 1 in the array sym[], and go to S205;

[0023] S205, if the value of the current variable j is less than N, then increase the value of the variable j by 1 and go to S204; if the value of the current variable j is equal to or greater than N, then go to S206;

[0024] S206, delete all plastic elements in the array sym[], save the array sym[] after deleting all plastic elements as a new array tim[]. Let N1 represent the number of all elements in the array tim[], and let tim(i1) represent the i1-th element of the array tim[], where i1 is the serial number and the value range of i1 is i1 = 1, 2,..., N1. Denote the element with the largest value and the element with the smallest value in the array tim[] as U0 and U1 respectively, and use V n to represent the sum of the values of all elements in the array Tim[]; delete the elements U0 and U1 in the array tim[], and save the array tim[] after deleting the elements U0 and U1 as a new array squ[];

[0025] Establish a plastic interval control model PICM(t):

[0026]

[0027] Among them, t is the model variable, X1= U0 / V n , X2= U1 / V n , H0 is the minimum value in the array squ[], H L is the maximum value in the array squ[], H1 is the upper quartile in the array squ[], and H2 is the lower quartile in the array squ[].

[0028] The beneficial effect of this step is: since the painting pigment is prone to excessive viscosity or excessive dilution during the batching process, resulting in a decrease in the product performance and quality of the painting pigment, the method of this step establishes a plastic range control model and uses the shear stress data of the painting pigment as model data, which can improve the accuracy of the control model and optimize the batching process of the painting pigment. The shear stress of the pigment is proportional to the viscosity, density and stretching speed of the pigment. The plastic range control model is used to determine the stable performance range of the painting pigment during the batching process. When the real-time rheological properties of the painting pigment deviate from this range, the painting pigment is realigned by dilution or thickening to ensure that the performance quality of the painting pigment meets the production standards.

[0029] Furthermore, in step S300, the method for determining the performance stability interval of the painting pigment by the plasticity interval control model is specifically as follows:

[0030] The N elements rss(1), rss(2), …, rss(N) in the array rss[] are respectively input as model variables t into the plasticity interval control model PICM(t), thereby obtaining PICM(rss(1)), PICM(rss(2)), …, PICM(rss(N)); the variable j2 is set, and the value range of the variable j2 is j2=2, 3, …, N;

[0031] The third equation is defined as: spo(j)=abs(PICM(rss(j))-PICM(rss(j-1)));

[0032] In the third equation, the variable j2 is traversed from j2=2 to j2=N to obtain N-1 values ​​spo(2), spo(3), ..., spo(N), and a blank array spo[] is created. The N-1 values ​​spo(2), spo(3), ..., spo(N) are added to the array spo[]. The element with the largest value in the array spo[] is spo(x), x is the sequence number, x∈[2,N], Y1=min{PICM(rss(x-1)), PICM(rss(x))}, Y2=max{PICM(rss(x-1)), PICM(rss(x))}, and the interval [Y1,Y2] is recorded as the stable performance interval of the paint pigment;

[0033] Among them, PICM(rss(x)) represents the x-th element corresponding to the serial number x in the array rss[], PICM(rss(x-1)) represents the previous element of PICM(rss(x)) in the array rss[], min{} represents the minimum value of the number in {}, and max{} represents the maximum value of the number in {}.

[0034] Furthermore, in step S400, the method for continuously monitoring the rheological properties of the paint in real time is specifically: monitoring the rheological properties of the paint in real time through a rheometer, using rss(y) to represent the real-time shear stress of the paint at any moment in the batching process, and outputting rss(y) to a display.

[0035] The present invention also provides a high-precision batching paint production system, the high-precision batching paint production system comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, the processor implementing the steps in a high-precision batching paint production method when executing the computer program, the high-precision batching paint production system can be run in computing devices such as desktop computers, notebook computers, mobile phones, cell phones, tablet computers, PDAs, and cloud data centers, and the executable system may include, but is not limited to, a processor, a memory, and a server cluster, and the processor executes the computer program to run in the following system units:

[0036] A data monitoring unit is used to monitor the rheological properties of the paint by a rheometer during the batching process of the paint to obtain monitoring data;

[0037] A model control unit, used to establish a plasticity interval control model based on monitoring data;

[0038] An interval calculation unit, used for determining the performance stability interval of the painting pigment through a plastic interval control model;

[0039] The real-time monitoring unit is used to continuously monitor the rheological properties of the painting pigments in real time.

[0040] The beneficial effects of the present invention are as follows: the method can accurately monitor and control the rheological properties of painting pigments without the need for manual sampling and judgment, greatly saving the process cost of real-time monitoring, reducing the production loss rate of pigments, and through precise batching, the viscosity of the painting pigments is always stable within a reasonable range, thereby achieving efficient and controllable pigment batching process. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The above and other features of the present invention will become more obvious by describing in detail the embodiments shown in the accompanying drawings. The same reference numerals in the accompanying drawings of the present invention represent the same or similar elements. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other accompanying drawings can be obtained based on these accompanying drawings without creative work. In the accompanying drawings:

[0042] Figure 1 Shown is a flow chart of a method for producing a high-precision batching paint;

[0043] Figure 2 Shown is a system structure diagram of a high-precision batching paint production system. DETAILED DESCRIPTION

[0044] The following will be combined with the embodiments and drawings to clearly and completely describe the concept, specific structure and technical effects of the present invention, so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0045] In the description of the present invention, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed" etc. are understood as not including the number itself, and "above", "below", "within" etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0046] like Figure 1 The flowchart of a method for producing a high-precision paint pigment according to the present invention is shown below. Figure 1 A method for producing a high-precision batched paint pigment according to an embodiment of the present invention will be described.

[0047] The present invention provides a method for producing a high-precision paint, the method comprising the following steps:

[0048] S100, in the process of preparing the paint, the rheological properties of the paint are monitored by a rheometer to obtain monitoring data;

[0049] S200, establishing a plasticity interval control model based on monitoring data;

[0050] S300, determining the performance stability range of painting pigments through the plasticity range control model;

[0051] S400 continuously monitors the rheological properties of paints in real time.

[0052] Specifically, the rheometer is a RXS rheometer.

[0053] Furthermore, in step S100, the rheological properties of the painting pigment are monitored by a rheometer, and the method for obtaining the monitoring data is specifically as follows:

[0054] The rheometer is connected to the host through a data cable, and the probe of the rheometer is contacted with the painting pigment. The probe of the rheometer is used to measure the real-time shear stress data of the painting pigment during the batching process, and the real-time shear stress data is returned to the rheometer. The real-time shear stress data of the painting pigment in the rheometer is read and output by the host, and the real-time shear stress data of the painting pigment is used as monitoring data.

[0055] Furthermore, in step S200, the method for establishing the plasticity interval control model according to the monitoring data is:

[0056] S201, rss(i) represents the shear stress of the paint at the i-th second in the batching process, i is a serial number, and the value range of i is i=1,2,…,N, then rss(i)=rss(1),rss(2),…,rss(N), N is set to 3000, and go to S202;

[0057] S202, create a blank array rss[], add rss(1), rss(2), ..., rss(N) to the array rss[] in sequence, create an array sym[] of length N, and use sym(i) to represent the i-th element in the array sym[], where the value of sym(i) is determined by the first equation: sym(i) = [rss(i) - avg(rss[])] / (r1 - r2), and go to S203;

[0058] Where rss(i) is the i-th element in the array rss[], avg(rss[]) is the mean of all elements in the array rss[], r1 is the upper quartile of the array rss[], and r2 is the lower quartile of the array rss[].

[0059] S203, initialize a variable j, the value range of the variable j is the same as the value range of the sequence number i, traverse the variable j starting from j=1, use sym(j) to represent the jth element corresponding to the value of the variable j in the array sym[], and go to S204;

[0060] Define the second equation as: ;

[0061] Wherein, pet is the second value determined by the second equation, ln() is the natural logarithm function, and sym(i-1) is the previous element of sym(i) in the array sym[];

[0062] S204, if the current sym(j) satisfies abs(sym(j + 1)-sym(j)) < pet, mark the current sym(j) as a plastic element; where abs() represents taking the absolute value of the number inside (), sym(j + 1) is the value of variable j + 1 corresponding to the (j + 1)-th element in the array sym[], go to S205;

[0063] S205, if the value of the current variable j is less than N, increase the value of variable j by 1 and go to S204; if the value of the current variable j is equal to or greater than N, go to S206;

[0064] S206, delete all plastic elements in the array sym[], save the array sym[] after deleting all plastic elements as a new array tim[], denote the number of all elements in the array tim[] as N1, denote the i1-th element in the array tim[] as tim(i1), where i1 is the serial number and the value range of i1 is i1 = 1, 2,..., N1, denote the element with the largest value and the element with the smallest value in the array tim[] as U0 and U1 respectively, and denote V n as the sum of the values of all elements in the array Tim[]; delete the element U0 and the element U1 in the array tim[], and save the array tim[] after deleting the elements U0 and U1 as a new array squ[];

[0065] Establish a plastic interval control model PICM(t):

[0066]

[0067] where t is the model variable, X1 = U0 / V n , X2 = U1 / V n , H0 is the minimum value in the array squ[], H L is the maximum value in the array squ[], H1 is the upper quartile in the array squ[], and H2 is the lower quartile in the array squ

[0068] Furthermore, in step S300, the method for determining the performance stable interval of the painting pigment through the plastic interval control model is specifically as follows:

[0069] Respectively input the N elements rss(1), rss(2),..., rss(N) in the array rss[] into the plastic interval control model PICM(t) as the model variable t, so as to obtain PICM(rss(1)), PICM(rss(2)),..., PICM(rss(N)); set a variable j2, and the value range of the variable j2 is j2 = 2, 3,..., N;

[0070] The third equation is defined as: spo(j)=abs(PICM(rss(j))-PICM(rss(j-1)));

[0071] In the third equation, the variable j2 is traversed from j2=2 to j2=N to obtain N-1 values ​​spo(2), spo(3), ..., spo(N), and a blank array spo[] is created. The N-1 values ​​spo(2), spo(3), ..., spo(N) are added to the array spo[]. The element with the largest value in the array spo[] is spo(x), x is the sequence number, x∈[2,N], Y1=min{PICM(rss(x-1)), PICM(rss(x))}, Y2=max{PICM(rss(x-1)), PICM(rss(x))}, and the interval [Y1,Y2] is recorded as the stable performance interval of the paint pigment;

[0072] Among them, PICM(rss(x)) represents the x-th element corresponding to the serial number x in the array rss[], PICM(rss(x-1)) represents the previous element of PICM(rss(x)) in the array rss[], min{} represents the minimum value of the number in {}, and max{} represents the maximum value of the number in {}.

[0073] Furthermore, in step S400, the method for continuously monitoring the rheological properties of the paint in real time is specifically: monitoring the rheological properties of the paint in real time through a rheometer, using rss(y) to represent the real-time shear stress of the paint at any moment in the batching process, and outputting rss(y) to a display.

[0074] Specifically, in step S400, the rheological properties of the painting pigment are continuously monitored in real time, and the step also includes, when the rheological properties of the painting pigment exceed the performance stability range, adjusting the batching process of the painting pigment, specifically: the rheological properties of the painting pigment are monitored in real time by a rheometer, rss(y) is used to represent the real-time shear stress of the painting pigment at any time during the batching process, rss(y) is used as a model variable t to input into the plasticity interval control model PICM(t), and PICM(rss(y)) is obtained;

[0075] When the value of PICM (rss (y)) is higher than the value of Y2 in the performance stability interval [Y1, Y2], a thinner is added to the paint;

[0076] When the value of PICM(rss(y)) is lower than the value of Y1 in the performance stable interval [Y1, Y2], thickener is added to the paint.

[0077] Specifically, the diluent is turpentine oil, and the thickener is a polymer thickener.

[0078] Specifically, the performance indicators of the painting pigments produced by the high-precision formulation painting pigment production method provided by the present invention are shown in the following table:

[0079]

[0080] The high-precision ingredient painting pigment production system includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above-mentioned high-precision ingredient painting pigment production method embodiment are implemented. The high-precision ingredient painting pigment production system can be run on computing devices such as desktop computers, laptops, mobile phones, cell phones, tablet computers, PDAs, and cloud data centers. The executable systems may include, but are not limited to, processors, memories, and server clusters.

[0081] The embodiment of the present invention provides a high-precision batching painting pigment production system, such as Figure 2 As shown, a high-precision batching paint production system of this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above-mentioned high-precision batching paint production method embodiment are implemented. The processor executes the computer program to run in the following system units:

[0082] A data monitoring unit is used to monitor the rheological properties of the paint by a rheometer during the batching process of the paint to obtain monitoring data;

[0083] A model control unit, used to establish a plasticity interval control model based on monitoring data;

[0084] An interval calculation unit, used for determining the performance stability interval of the painting pigment through a plastic interval control model;

[0085] The real-time monitoring unit is used to continuously monitor the rheological properties of the painting pigments in real time.

[0086] The high-precision batching paint production system can be run in computing devices such as desktop computers, laptops, PDAs, and cloud data centers. The high-precision batching paint production system includes, but is not limited to, a processor and a memory. Those skilled in the art will understand that the example is only an example of a high-precision batching paint production method and system, and does not constitute a limitation on a high-precision batching paint production method and system, and may include more or less components than the example, or a combination of certain components, or different components, for example, the high-precision batching paint production system may also include input and output devices, network access devices, buses, etc.

[0087] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete component gate circuits or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the high-precision batching paint production system, and uses various interfaces and lines to connect the various sub-areas of the entire high-precision batching paint production system.

[0088] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the high-precision batching paint production method and system by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0089] The present invention provides a method and system for producing a high-precision batching paint pigment. In the batching process of the paint pigment, the rheological properties of the paint pigment are monitored by a rheometer to obtain monitoring data, a plastic interval control model is established according to the monitoring data, the performance stability interval of the paint pigment is determined by the plastic interval control model, and the rheological properties of the paint pigment are continuously monitored in real time. The method can accurately monitor and control the rheological properties of the paint pigment without manual sampling and judgment, greatly save the process cost of real-time monitoring, reduce the production loss rate of the paint pigment, and make the viscosity of the paint pigment always stable within a reasonable range through precise batching, so as to achieve efficient and controllable pigment batching process. Although the description of the present invention has been quite detailed and several embodiments are described in particular, it is not intended to be limited to any of these details or embodiments or any special embodiments, so as to effectively cover the predetermined scope of the present invention. In addition, the above describes the present invention with embodiments that the inventor can foresee, and the purpose is to provide a useful description, and those non-substantial changes to the present invention that have not yet been foreseen can still represent equivalent changes to the present invention.

Claims

1. A method for producing a high-precision paint, characterized in that: The method includes the following steps: S100. During the ingredient preparation process of the painting pigment, monitor the rheological properties of the painting pigment by a rheometer to obtain monitoring data; S200. Establish a plastic interval control model according to the monitoring data; S300. Determine the performance stable interval of the painting pigment through the plastic interval control model; S400. Continuously monitor the rheological properties of the painting pigment in real time; In step S200, the method for establishing the plastic interval control model according to the monitoring data is as follows: S201. Use rss(i) to represent the shear stress of the painting pigment at the i-th second during the ingredient preparation process, where i is the serial number and the value range of i is i = 1, 2, …, N. Then rss(i)=rss(1), rss(2), …, rss(N), and go to S202; S202. Create a blank array rss[], add rss(1), rss(2), …, rss(N) to the array rss[] in sequence, create an array sym[] with a length of N, and use sym(i) to represent the i-th element in the array sym[]. Among them, the value of sym(i) is determined by the first equation, and the first equation is: sym(i)=[rss(i)-avg(rss[])] / (r1 - r2), and go to S203; In the formula, rss(i) is the i-th element in the array rss[], avg(rss[]) is the average value of all elements in the array rss[], r1 is the upper quartile of the array rss[], and r2 is the lower quartile of the array rss[]; S203. Initialize a variable j, and the value range of the variable j is the same as that of the serial number i. Start traversing the variable j from j = 1, and use sym(j) to represent the j-th element corresponding to the value of the variable j in the array sym[], and go to S204; Define the second equation as: ; Among them, pet is the second value determined by the second equation, ln() is the natural logarithm function, and sym(i - 1) is the previous element of sym(i) in the array sym[]; S204. If the current sym(j) satisfies abs(sym(j + 1)-sym(j)) < pet, then mark the current sym(j) as a plastic element; where abs() represents taking the absolute value of the number inside (), and sym(j + 1) is the (j + 1)-th element corresponding to the value of the variable j + 1 in the array sym[], and go to S205; S205. If the value of the current variable j is less than N, then increase the value of the variable j by 1 and go to S204; if the value of the current variable j is equal to or greater than N, then go to S206; S206, delete all plastic elements in the array sym[], save the array sym[] after deleting all plastic elements as a new array tim[], N1 represents the number of all elements in the array tim[], tim(i1) represents the i1th element of the array tim[], i1 is the sequence number, the value range of i1 is i1=1,2,…,N1, the element with the largest value and the element with the smallest value in the array tim[] are respectively denoted as U0 and U1, and V n Represents the sum of the values ​​of all elements in the array Tim[]. Delete elements U0 and U1 in the array tim[], and save the array tim[] after deleting elements U0 and U1 as a new array squ[]. Establish a plastic interval control model PICM(t): ； Among them, t is the model variable, X1= U0 / V n , X2= U1 / V n , H0 is the minimum value in the array squ[], H L is the maximum value in the array squ[], H1 is the upper quartile in the array squ[], and H2 is the lower quartile in the array squ[]; In step S300, the method for determining the performance stable interval of the painting pigment through the plastic interval control model is specifically as follows: The N elements rss(1), rss(2), …, rss(N) in the array rss[] are respectively input as model variables t into the plasticity interval control model PICM(t), thereby obtaining PICM(rss(1)), PICM(rss(2)), …, PICM(rss(N)); the variable j2 is set, and the value range of the variable j2 is j2=2, 3, …, N; The third equation is defined as: spo(j)=abs(PICM(rss(j))-PICM(rss(j-1))); In the third equation, the variable j2 is traversed from j2=2 to j2=N to obtain N-1 values ​​spo(2), spo(3), ..., spo(N), and a blank array spo[] is created. The N-1 values ​​spo(2), spo(3), ..., spo(N) are added to the array spo[]. The element with the largest value in the array spo[] is spo(x), x is the sequence number, x∈[2,N], Y1=min{PICM(rss(x-1)), PICM(rss(x))}, Y2=max{PICM(rss(x-1)), PICM(rss(x))}, and the interval [Y1,Y2] is recorded as the stable performance interval of the paint pigment; Among them, PICM(rss(x)) represents the x-th element corresponding to the serial number x in the array rss[], PICM(rss(x-1)) represents the previous element of PICM(rss(x)) in the array rss[], min{} represents the minimum value of the number in {}, and max{} represents the maximum value of the number in {}.

2. A method for producing a high-precision paint according to claim 1, characterized in that: In step S100, the rheological properties of the painting pigment are monitored by a rheometer, and the method for obtaining the monitoring data is specifically as follows: The rheometer is connected to the host through a data cable, and the probe of the rheometer is contacted with the painting pigment. The probe of the rheometer is used to measure the real-time shear stress data of the painting pigment during the batching process, and the real-time shear stress data is returned to the rheometer. The real-time shear stress data of the painting pigment in the rheometer is read and output by the host, and the real-time shear stress data of the painting pigment is used as monitoring data.

3. A method for producing a high-precision paint according to claim 1, characterized in that: In step S400, the method for continuously monitoring the rheological properties of the paint in real time is specifically: monitoring the rheological properties of the paint in real time through a rheometer, using rss(y) to represent the real-time shear stress of the paint at any moment in the batching process, and outputting rss(y) to a display.

4. A high-precision batching paint production system, characterized in that: The high-precision ingredient-based painting pigment production system comprises: a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps in the high-precision ingredient-based painting pigment production method described in any one of claims 1 to 3 are implemented. The high-precision ingredient-based painting pigment production system runs in a computing device such as a desktop computer, a laptop computer, a PDA, or a cloud data center.

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