Automated control method and system for titanium dioxide modification process

Abstract

The invention discloses an automated control method and system for titanium dioxide modification process, and relates to the technical field of titanium dioxide production. The method includes: interactive titanium dioxide modification process, determining modification targets and establishing mapping identifiers with modification process nodes; traversing modification targets, obtaining production control records through big data retrieval, and mining the structure-activity relationship between titanium dioxide particle size microstructure and performance targets; determining process freedom based on the structure-activity relationship, training an adaptive adjustment module and configuring a digital feedback device in combination with the modification targets; performing production line processing and process monitoring, and transmitting processing data to the feedback device; using an adaptive adjustment module to analyze the physical phase structure and the modification and coating process, perform control over-limit analysis, locate adjustment features, determine feedback adjustment strategies and transmit them to the production line control system, and realize feedback adjustment control of titanium dioxide processing. Thus, the technical effect of improving modification efficiency and modification effect and reducing modification cost is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of titanium dioxide production, and in particular to an automated control method and system for a titanium dioxide modification process. Background Art

[0002] Titanium dioxide is an important inorganic chemical product, widely used in coatings, plastics, papermaking, cosmetics and other fields. The existing titanium dioxide modification process mainly relies on experience adjustment and experimental adjustment, lacks a deep understanding of the process, and often relies on experience to adjust process parameters, which is prone to human errors, and has technical problems such as low modification efficiency and unstable effect. Summary of the invention

[0003] The present invention provides a titanium dioxide modification process automation control method and system to solve the technical problems of low modification efficiency and unstable effect in the prior art, and achieve the technical effects of improving modification efficiency and modification effect and reducing modification cost.

[0004] In a first aspect, the present invention provides a method for automated control of a titanium dioxide modification process, wherein the method comprises:

[0005] Interactive titanium dioxide modification process, determine the modification target, there is a mapping identifier between the modification target and the modification process node; traverse the modification target, perform big data retrieval to obtain production control records, and mine the structure-activity relationship, wherein the structure-activity relationship is the relationship between the particle size microstructure of titanium dioxide and the performance target, and the performance target includes conventional performance and modified performance; based on the structure-activity relationship, determine the process freedom, combine with the modification target, supervise the training of the adaptive adjustment module and configure the digital feedback device, the digital feedback device establishes a communication connection with the production line control system; based on the titanium dioxide modification process, perform production line processing and process monitoring, and send back processing data to the digital feedback device; based on the adaptive adjustment module, analyze the phase structure and the modification and coating process based on the processing data, perform control over-limit analysis with the process freedom as a constraint, locate the feedback adjustment feature, and determine the feedback adjustment strategy in combination with the structure-activity relationship; transmit the feedback adjustment strategy to the production line control system to perform feedback adjustment control of titanium dioxide production line processing.

[0006] In a second aspect, the present invention further provides an automated control system for a titanium dioxide modification process, wherein the system comprises:

[0007] A modification target determination component is used for interactive titanium dioxide modification process to determine the modification target, and there is a mapping identifier between the modification target and the modification process node.

[0008] A structure-activity relationship mining component is used to traverse the modification target, perform big data retrieval to obtain production control records, and mine structure-activity relationships, wherein the structure-activity relationship is the relationship between the particle size microstructure of titanium dioxide and the performance target, and the performance target includes conventional performance and modified performance.

[0009] The adjustment module training component is used to determine the process freedom based on the structure-activity relationship, supervise the training of the adaptive adjustment module in combination with the modification target, and configure a digital feedback device, wherein the digital feedback device establishes a communication connection with the production line control system.

[0010] A process monitoring component is used to perform production line processing and process monitoring based on the titanium dioxide modification process, and to transmit processing data back to the digital feedback device.

[0011] A feedback regulation positioning component is used to analyze the phase structure and the modification and coating process based on the processing data based on the adaptive regulation module, perform control over-limit analysis with the process freedom as a constraint, locate feedback regulation features, and determine the feedback regulation strategy in combination with the structure-activity relationship.

[0012] A feedback regulation control component is used to transmit the feedback regulation strategy to the production line control system to perform feedback regulation control on the titanium dioxide production line processing.

[0013] The invention discloses an automated control method and system for a titanium dioxide modification process, comprising: interacting with a titanium dioxide modification process, determining a modification target, and establishing a mapping identifier with a modification process node; traversing the modification target, performing a big data search to obtain a production control record, and mining a structure-activity relationship between the particle size microstructure of titanium dioxide and a performance target, wherein the performance target includes a conventional performance and a modified performance; based on the structure-activity relationship, determining the process freedom, and in combination with the modification target, performing supervised training on an adaptive adjustment module, and configuring a digital feedback device, which is communicatively connected to a production line control system; during the titanium dioxide modification process, performing production line processing and real-time process monitoring, and transmitting processing data back to the digital feedback device; utilizing the adaptive adjustment module, analyzing the physical phase structure and the modification and coating process according to the processing data, and performing a control over-limit analysis with the process freedom as a constraint condition, locating feedback adjustment features, and formulating a feedback adjustment strategy in combination with the structure-activity relationship; transmitting the feedback adjustment strategy to the production line control system to realize feedback adjustment control of titanium dioxide production line processing. The titanium dioxide modification process automation control method and system disclosed in the present invention solve the technical problems of low modification efficiency and unstable effect, and achieve the technical effects of improving modification efficiency and modification effect and reducing modification cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1The figure is a schematic flow chart of the automated control method for titanium dioxide modification process of the present invention;

[0015] Figure 2 It is a structural schematic diagram of the automatic control system of the titanium dioxide modification process of the present invention.

[0016] Explanation of the reference numerals: modification target determination component 11, structure-activity relationship mining component 12, regulation module training component 13, process monitoring component 14, feedback regulation positioning component 15, feedback regulation control component 16. DETAILED DESCRIPTION

[0017] The technical solution provided in the embodiments of the present invention is to solve the technical problems of low modification efficiency and unstable effect in the prior art. The overall idea adopted is as follows:

[0018] First, the modification process of titanium dioxide is interactive, the modification target is determined, and the mapping identifier between the modification target and the modification process node is identified. Then, the modification target is traversed, and the relevant production control records are obtained through big data retrieval to mine the structure-activity relationship. The structure-activity relationship refers to the relationship between the particle size microstructure of titanium dioxide and the performance target, which includes conventional performance and modified performance. Then, based on the structure-activity relationship, the process freedom is determined, and the adaptive adjustment module is supervised and trained in combination with the modification target. At the same time, a digital feedback device is configured to establish a communication connection with the production line control system. During the titanium dioxide modification process, the production line is processed and the process parameters are monitored, and the processing data is transmitted back to the digital feedback device. Using the adaptive adjustment module, the physical phase structure and the modification coating process are analyzed based on the processing data, and the control limit analysis is performed with the process freedom as the constraint condition. By locating the feedback adjustment feature and combining the structure-activity relationship, the feedback adjustment strategy is determined. Finally, the feedback adjustment strategy is transmitted to the production line control system, and the feedback adjustment control of the titanium dioxide production line processing is implemented to ensure that the product performance meets the predetermined modification target.

[0019] The above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods of the specification to better understand the above technical solution. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments of the present invention. It should be understood that the present invention is not limited to the example embodiments used only to explain the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. In addition, it should be noted that, for the convenience of description, only the parts related to the present invention are shown in the drawings, rather than all of them.

[0020] Embodiment 1

[0021] Figure 1The present invention is a schematic flow chart of the automated control method for titanium dioxide modification process, wherein the method comprises:

[0022] An interactive titanium dioxide modification process is used to determine a modification target, and a mapping identifier exists between the modification target and the modification process node.

[0023] Specifically, obtain the current titanium dioxide modification process and clarify the application field and modification target of titanium dioxide. The modification target includes the target direction (such as improving the weather resistance of titanium dioxide, improving dispersibility, enhancing glossiness or improving anti-yellowing performance, etc.) and the target degree (such as improving weather resistance by 20%, improving dispersibility by 30%, etc.).

[0024] Furthermore, in the modification process of titanium dioxide, multiple key nodes are identified, such as calcination, pickling, neutralization, drying, etc. Then, based on the association analysis method, hierarchical analysis method or existing knowledge graph, the impact of each process node on the modification target is analyzed and determined. Then, a mapping identifier between the modification target and the process node is established. For example, surface treatment may affect dispersibility, and calcination process may affect weather resistance, etc.

[0025] Specifically, the mapping identifier between the modification target and the modification process node is an association relationship, which is used to indicate the direct association between a modification target and a specific process node. According to the mapping identifier, it is possible to accurately and effectively determine which process nodes need to be optimized and controlled.

[0026] Optionally, if a modification target involves multiple process nodes, multiple mapping identifiers are established so that each node can be adjusted and optimized during the process.

[0027] Optionally, if a modification target involves multiple process nodes, multiple process nodes designed are analyzed and screened, and multiple process nodes that contribute the most to the modification target are selected to establish mapping identifiers. Exemplarily, multiple process nodes designed are analyzed and screened based on principal component analysis, and the top N process nodes whose cumulative contributions meet preset contribution constraints are selected to establish mapping identifiers.

[0028] Through the above steps, an effective mapping relationship between the modification target and the specific modification process nodes can be systematically established, so as to achieve precise process control in the actual production process, thereby improving the control efficiency of the titanium dioxide modification process.

[0029] The modification targets are traversed, big data retrieval is performed to obtain production control records, and structure-activity relationship is mined, wherein the structure-activity relationship is the relationship between the particle size microstructure of titanium dioxide and the performance target, and the performance target includes conventional performance and modified performance.

[0030] Specifically, historical data related to titanium dioxide production is retrieved from the big data platform, including but not limited to production control parameters, process records, product test reports, etc. Then, the production control records related to the current modification target are screened out, and the production control records are classified and marked according to particle size, microstructure, temperature control parameters, etc., to obtain the production control records.

[0031] Specifically, structure-activity relationship refers to the correlation between the particle microstructure of titanium dioxide (such as crystal morphology, particle size distribution, surface roughness, etc.) and its performance targets (such as optical properties, chemical stability, dispersibility, etc.).

[0032] Optionally, first, extract the particle size microstructure characteristics related to titanium dioxide, such as average particle size, specific surface area, crystal phase composition, etc. Then, use big data analysis techniques, such as association rule mining, regression analysis, cluster analysis, etc., to explore the potential relationship between particle size microstructure and performance objectives.

[0033] In some embodiments, the mining structure-activity relationship comprises:

[0034] Based on the relative trend characteristics of the microstructure and the performance target, a first structure-activity relationship is determined; based on the relative trend characteristics of the control factor and the microstructure, a second structure-activity relationship is determined, wherein the control factor includes multiple control factors and the coupling relationship of the control factors is constrained; the first structure-activity relationship and the second structure-activity relationship are integrated to determine the structure-activity relationship, wherein the structure-activity relationship satisfies a preset record ratio.

[0035] Specifically, the influence degree and trend of different microstructure changes on performance targets are investigated to determine the first structure-activity relationship, where the first structure-activity relationship refers to the response characteristics of multiple microstructure indicators in the microstructure to the performance target.

[0036] Exemplarily, the response characteristics of each microscopic index to the performance target can be represented as a response curve in a plane rectangular coordinate system, which reflects the influence of the single microstructural index on the performance target. The response characteristics of multiple microstructural indexes to the performance target are correspondingly represented as a spatial surface in a multidimensional spatial coordinate system, wherein the multiple coordinate axes of the multidimensional spatial coordinate system correspond to multiple microstructural indexes (such as particle size distribution, crystal morphology, surface morphology, specific surface area, etc.), and the points on the spatial surface correspond to a specific microstructure and the performance target value under the combination. The entire spatial surface represents the comprehensive influence of multiple microstructural indexes on the performance target, and the shape and height changes on the surface reflect the changes in the performance target under different microstructural combinations.

[0037] Specifically, the control factors are the control factors that affect the microstructure, such as temperature, pressure, stirring rate, chemical reaction time, etc. By analyzing the interaction between different control factors, examining how each control factor affects the change of microstructure, determining the specific impact of the change of control factors on the microstructure, and using statistical and data mining techniques, constructing a relationship model between control factors and microstructure. For example, excessive stirring intensity has an adverse effect on the particle size distribution, crystal morphology and other characteristics of the microstructure.

[0038] Specifically, the first structure-activity relationship is integrated with the second structure-activity relationship to ensure the comprehensiveness and accuracy of the structure-activity relationship. The structure-activity relationship meets the preset record ratio to ensure the applicability in different experiments or production records, that is, in most cases, the model can accurately predict the actual performance.

[0039] Based on the structure-activity relationship, the process degree of freedom is determined, and combined with the modification target, the adaptive adjustment module is supervised and trained and a digital feedback device is configured, and the digital feedback device establishes a communication connection with the production line control system.

[0040] In some embodiments, based on the structure-activity relationship, determining the process freedom comprises:

[0041] The structure-activity relationship is traversed, and based on the titanium dioxide modification process, the process nodes are divided one by one to determine the node equivalent relationship; the processing quality standard and the fitting processing loss are obtained, and the node freedom is determined based on the node equivalent relationship. The fitting processing loss is determined based on the joint determination of multiple loss sources; the node freedom is positively serialized and integrated to determine the process freedom.

[0042] Specifically, first, according to the modification process of titanium dioxide, the entire process flow is divided into multiple independent process nodes. Each node corresponds to a specific processing step or operation parameter. Then, each process node is divided, and the node equivalent relationship is determined based on the process parameter indicators included therein and the structure-activity relationship. Among them, the node equivalent relationship refers to the substitution or equivalent relationship of the nodes under the premise of meeting the same performance target.

[0043] For example, if the same performance target is achieved, the order of magnitude of adjustment required for process parameter a of node A is 1, and the order of magnitude of adjustment required for process parameter a of node B is 2. Then, taking node A as the benchmark, the node equivalence relationship of node B is 1 / 2.

[0044] Specifically, the quality standard is to obtain the corresponding processing quality standard according to the performance requirements of the final product, such as surface quality, particle size distribution, optical properties, etc. Fitting processing loss refers to the influence of multiple potential loss sources in the process flow. Optionally, the loss sources include material wear, energy consumption, time delay, equipment aging, etc.

[0045] Specifically, the processing loss is fitted with the quality of the processed product to determine the loss of each node in the process flow while meeting the quality standards. In other words, different process nodes correspond to different load levels and wear characteristics, and the wear of different process nodes has different effects on the quality of the final product. Therefore, it is necessary to determine the acceptable parameter adjustment range for each node based on the equivalent relationship of each node, while meeting the processing quality standards and fitting the processing loss, and output it as the node degree of freedom.

[0046] Specifically, the node degrees of freedom of the entire process flow are positively serialized and integrated, that is, the degrees of freedom of each node are gradually integrated according to the order of the process flow, and the contribution of different nodes to the modification target is determined. In other words, the process freedom is the overall acceptable operational adjustment space of the process flow sorted by regulation effectiveness under the premise of meeting quality standards and loss control.

[0047] In some embodiments, the supervised training adaptive adjustment module includes:

[0048] The production control records are traversed, and based on the structure-activity relationship, the process degrees of freedom and the modification target, the records are reorganized and labeled to determine the pre-training samples; the pre-training samples are traversed, a group of training samples are randomly extracted, and the first adaptive adjustment branch is supervised for training; N groups of training samples are randomly extracted, and the Nth adaptive adjustment branch is supervised for training; the first adaptive adjustment branch is integrated in parallel until the Nth adaptive adjustment branch to determine the adaptive adjustment module, wherein the maximum proportion of the branch output is used as the module output.

[0049] Specifically, first, the production control records are traversed, and the records are reorganized and marked according to the structure-activity relationship, process freedom and modification target. The data related to the modification target is screened and sorted, and marked according to its relationship and freedom, ensuring the standardization of the samples and avoiding the influence of messy and redundant data on the training effect.

[0050] Specifically, traverse the pre-training samples and randomly extract a group of training samples for supervised training. Repeat the above random extraction process to obtain N groups of training samples for supervised training. Train the Nth adaptive adjustment branch. In other words, different adaptive adjustment branches have different training sample sizes, thereby increasing the differences between different adaptive adjustment branches, which helps to improve the branch diversity of the adaptive adjustment module.

[0051] Furthermore, the first adaptive adjustment branch to the Nth adaptive adjustment branch are integrated to form an overall adaptive adjustment module, and the result with the maximum proportion of the output of the adaptive adjustment module branch is used as the module output.

[0052] The above method traverses the production control records and reorganizes and marks the records according to the structure-activity relationship, process freedom and modification target, determines the pre-training samples, and randomly extracts one or more groups of training samples for supervised training, and finally integrates the various adaptive adjustment branches in parallel, and uses the maximum proportion of the branch output as the module output. The information in the production control records is fully utilized, and the performance and reliability of the module are improved through supervised training and parallel integration.

[0053] Based on the titanium dioxide modification process, production line processing and process monitoring are carried out, and the processing data is fed back to the digital feedback device.

[0054] Specifically, titanium dioxide is input into the production line for modification process, and real-time process monitoring is performed during the process. For example, the process monitoring content includes key parameters such as temperature, pressure, flow rate, chemical composition, etc.

[0055] Specifically, the monitored data is sent back to the digital feedback device in real time. The digital feedback device is used to collect, store and process the data and provide timely feedback to the production line control system.

[0056] Specifically, the digital feedback device establishes a communication connection with the production line control system to receive instructions from the production line control system or send information to the production line control system. The production line control system establishes a control connection relationship with multiple process nodes of the target production line and industrial equipment of multiple process nodes.

[0057] The above method steps provide real-time process monitoring and data feedback during the production line processing of titanium dioxide modification process to understand and control the process, providing a data basis for subsequent optimization control and improving product quality and production efficiency.

[0058] Based on the adaptive adjustment module, the physical phase structure and the modified coating process are analyzed based on the processing data, and the control limit analysis is performed with the process freedom as a constraint to locate the feedback adjustment characteristics, and the feedback adjustment strategy is determined in combination with the structure-activity relationship.

[0059] Specifically, a control over-limit analysis is performed. First, the phase structure is analyzed based on the data generated during the processing. Then, the phase structure obtained by the analysis is input into the adaptive adjustment module, and an adaptive adjustment decision is made in combination with the modification and coating process to obtain the corresponding adjustment process plan. Next, with the process freedom as a constraint, it is determined whether the above-mentioned adjustment process plan meets the process conditions of the target production line, and a control over-limit analysis is performed.

[0060] Through control over-limit analysis, abnormal process parameters that affect the modification effect can be identified and located. The determined feedback regulation characteristics are combined with the previously determined structure-activity relationship to develop feedback regulation strategies to optimize the process flow and ensure that the performance of the final product meets the expected goals.

[0061] Optionally, a feedback regulation strategy is determined, including configuring a corresponding taboo space according to the located feedback regulation characteristics, wherein the taboo space defines specific parameters or parameter combinations that need to be avoided during the optimization process; and then, in combination with the taboo space, an adaptive regulation module is used to update and regulate the parameters so as to automatically adjust the parameters and optimize the physical phase structure and the modified membrane process.

[0062] In some embodiments, after determining the feedback adjustment strategy, the following steps are included:

[0063] Conduct control coupling analysis on the feedback regulation strategy to determine relevant control factors; balance the relevant control factors and the feedback regulation strategy to determine an optimized regulation strategy.

[0064] Optionally, in a complex production process, adjustment of a certain control factor may affect other control factors or process nodes, so a control coupling analysis is performed to determine the feedback regulation strategy.

[0065] Specifically, by understanding the mutual influence relationship between different control elements, the relevant control elements are determined. For example, the adjustment of temperature in certain nodes will affect the pressure, so the pressure and temperature in the node are relevant control elements. Then, the relevant control elements are analyzed collaboratively to determine how to coordinate the adjustment of each control element to achieve the best production effect. Exemplary, it includes adaptively adjusting the pressure while adjusting the temperature according to the influence characteristics of temperature and pressure to ensure that the feedback regulation strategy meets the expected regulation effect in actual application.

[0066] The feedback regulation strategy is transmitted to the production line control system to perform feedback regulation control on the titanium dioxide production line processing.

[0067] In some embodiments, the feedback regulation control of the titanium dioxide production line processing includes:

[0068] Identify the processing data, calculate the particle size balance coefficient based on the particle size difference characteristics of titanium dioxide; set the standard balance range of titanium dioxide particle size based on the process freedom; if the particle size balance coefficient does not meet the standard balance range, generate a directional control instruction and determine the processing balance characteristics, and execute directional control management.

[0069] Specifically, first, the processing data is identified, including the particle size, phase state, characteristics of the coating layer, etc. of the titanium dioxide; then, based on the differentiated characteristics of the titanium dioxide particle size, the particle size balance coefficient is calculated. The particle size balance coefficient is used to quantitatively characterize the process stability in actual processing. Exemplarily, the particle size balance coefficient is obtained by performing random particle size sampling on process nodes such as the coating layer and analyzing the degree of differentiation of the phase state.

[0070] Specifically, based on the degree of process freedom, a standard equilibrium range of titanium dioxide particle size is set. The standard equilibrium range is a constraint range that ensures that the product particle size distribution and phase structure are within the expected range. It is used to ensure that the particle size phase difference is within the normal range, thereby ensuring the product quality and performance goals.

[0071] Specifically, if the calculated particle size balance coefficient does not meet the set standard balance interval, a directional control instruction is generated according to the node location that does not meet the requirement. The directional control instruction is used to guide and adjust the parameters that fluctuate during the processing to achieve the required particle size balance and ensure that the titanium dioxide processing process meets the expected balance characteristics.

[0072] In some implementations, the performing targeted regulatory management includes:

[0073] Introduce local electrostatic attraction to determine the coating sedimentation control conditions; identify the directional control instruction, trigger the local electrostatic attraction, initialize the coating sedimentation control conditions based on the processing equilibrium characteristics, and control the attraction and sedimentation of the coating layer material through directional electrostatic attraction.

[0074] Specifically, local electrostatic attraction is used to adjust the properties of the coating layer. Local electrostatic attraction attracts or repels specific materials by changing the strength and direction of the electric field, thereby changing the properties of the coating layer.

[0075] Specifically, first, the control conditions of coating precipitation are determined based on factors such as material properties (such as charge, conductivity, dielectric constant, etc. of the material), environmental conditions, and performance limitations of the equipment. Including the intensity, direction, and duration of the electric field. Then, the coating precipitation control conditions are initialized according to the directional control instructions, that is, the intensity, direction, and duration of the electric field are adjusted. Finally, the attraction and precipitation of the coating layer material is regulated by directional electrostatic attraction, thereby further improving the particle size balance coefficient performance of the product and improving the quality of the product.

[0076] In summary, the automated control method for titanium dioxide modification process provided by the present invention has the following technical effects:

[0077] Through the interactive titanium dioxide modification process, the modification target is determined, and a mapping identifier is established with the modification process node; the modification target is traversed, and big data retrieval is performed to obtain production control records, and the structure-activity relationship between the particle size microstructure of titanium dioxide and the performance target is excavated, where the performance target includes conventional performance and modified performance; based on the structure-activity relationship, the process freedom is determined, and the adaptive adjustment module is supervised and trained in combination with the modification target, and a digital feedback device is configured, and the digital feedback device is connected to the production line control system; during the titanium dioxide modification process, the production line is processed and the process is monitored in real time, and the processing data is transmitted back to the digital feedback device; using the adaptive adjustment module, the physical phase structure and the modification coating process are analyzed according to the processing data, and the control limit analysis is performed with the process freedom as the constraint condition, the feedback adjustment feature is located, and the feedback adjustment strategy is formulated in combination with the structure-activity relationship; the feedback adjustment strategy is transmitted to the production line control system to realize the feedback adjustment control of the titanium dioxide production line processing. Thereby achieving the technical effect of improving the modification efficiency and modification effect and reducing the modification cost.

[0078] Embodiment 2

[0079] Figure 2 Schematic diagram of the structure of the automatic control system of the titanium dioxide modification process of the present invention. Figure 1 The flow chart of the automated control method for titanium dioxide modification process of the present invention can be shown as follows: Figure 2 The structure shown is implemented.

[0080] Based on the same concept as the automated control method for titanium dioxide modification process in the embodiment, the automated control system for titanium dioxide modification process also provided by the present invention includes:

[0081] The modification target determination component 11 is used to interact with the titanium dioxide modification process and determine the modification target, and there is a mapping identifier between the modification target and the modification process node.

[0082] The structure-activity relationship mining component 12 is used to traverse the modification targets, perform big data retrieval to obtain production control records, and mine structure-activity relationships, wherein the structure-activity relationship is the relationship between the particle size microstructure of titanium dioxide and the performance target, and the performance target includes conventional performance and modified performance.

[0083] The adjustment module training component 13 is used to determine the process freedom based on the structure-activity relationship, supervise the training of the adaptive adjustment module in combination with the modification target, and configure the digital feedback device, which establishes a communication connection with the production line control system.

[0084] The process monitoring component 14 is used to perform production line processing and process monitoring based on the titanium dioxide modification process, and to transmit processing data back to the digital feedback device.

[0085] The feedback regulation positioning component 15 is used to analyze the phase structure and the modification and coating process based on the processing data based on the adaptive regulation module, perform control over-limit analysis with the process freedom as a constraint, locate feedback regulation features, and determine the feedback regulation strategy in combination with the structure-activity relationship.

[0086] The feedback regulation control component 16 is used to transmit the feedback regulation strategy to the production line control system to perform feedback regulation control on the titanium dioxide production line processing.

[0087] The structure-activity relationship mining component 12 includes:

[0088] The first structure-activity relationship determination unit is used to determine the first structure-activity relationship based on the relative trend characteristics of the microstructure and the performance target.

[0089] The second structure-activity relationship determination unit is used to determine the second structure-activity relationship based on the relative trend characteristics of the control factor and the microstructure, wherein the control factor includes multiple control factors and the coupling relationship of the control factors is constrained.

[0090] The structure-activity relationship fusion unit is used to fuse the first structure-activity relationship and the second structure-activity relationship to determine the structure-activity relationship, wherein the structure-activity relationship satisfies a preset record ratio.

[0091] In some embodiments, the adjustment module training component 13 includes:

[0092] The structure-activity relationship traversal and node segmentation unit is used to traverse the structure-activity relationship, segment each process node based on the titanium dioxide modification process, and determine the node equivalent relationship.

[0093] The processing quality and loss acquisition unit is used to acquire the processing quality standard and the fitting processing loss, and determine the node freedom based on the node equivalent relationship. The fitting processing loss is determined based on the combination of multiple loss sources.

[0094] The process freedom degree determination unit is used for integrating the node freedom degree in a positive sequence and determining the process freedom degree.

[0095] In some embodiments, the adjustment module training component 13 further includes:

[0096] The production control record traversal and reorganization unit is used to traverse the production control records, reorganize and mark the records based on the structure-activity relationship, the process freedom and the modification target, and determine the pre-training samples.

[0097] The adaptive adjustment branch training unit (first branch) is used to traverse the pre-training samples, randomly extract a group of training samples, and supervise the training of the first adaptive adjustment branch.

[0098] The adaptive adjustment branch training unit (Nth branch) is used to randomly extract N groups of training samples and supervise the training of the Nth adaptive adjustment branch.

[0099] The adaptive adjustment module integration unit is used to integrate the first adaptive adjustment branch to the Nth adaptive adjustment branch in parallel to determine the adaptive adjustment module, wherein the maximum proportion result of the branch output is used as the module output.

[0100] In some embodiments, the feedback adjustment positioning component 15 includes:

[0101] The control coupling analysis unit is used to perform control coupling analysis on the feedback regulation strategy and determine relevant control factors.

[0102] The optimization regulation strategy determination unit is used to balance the relevant control factors and the feedback regulation strategy to determine the optimization regulation strategy.

[0103] In some embodiments, the feedback adjustment positioning component 15 includes:

[0104] The processing data identification and particle size balance coefficient calculation unit is used to identify the processing data and calculate the particle size balance coefficient based on the particle size difference characteristics of titanium dioxide.

[0105] The standard equilibrium interval setting unit is used to set the standard equilibrium interval of titanium dioxide particle size based on the process freedom.

[0106] The granularity balance control unit is used to generate a directional control instruction and determine the processing balance characteristics if the granularity balance coefficient does not meet the standard balance interval, and perform directional control management.

[0107] In some implementations, the granularity balancing control unit in the feedback adjustment positioning component 15 includes:

[0108] The local electrostatic attraction introduction and control condition determination unit is used to introduce local electrostatic attraction and determine the coating precipitation control conditions.

[0109] The directional control instruction recognition and triggering unit is used to recognize the directional control instruction, trigger local electrostatic attraction, initialize the coating precipitation control conditions based on the processing equilibrium characteristics, and control the attraction and precipitation of the coating layer material through directional electrostatic attraction.

[0110] It should be understood that the embodiments mentioned in this specification focus on their differences from other embodiments. The specific embodiments in the aforementioned embodiment one are also applicable to the automated control system for the titanium dioxide modification process described in embodiment two. For the sake of brevity of the specification, they will not be further elaborated here.

[0111] It should be understood that the embodiments disclosed in the present invention and the above description can enable those skilled in the art to use the present invention to implement the present invention. At the same time, the present invention is not limited to the above-mentioned embodiments. It should be understood that those skilled in the art can still modify the technical solutions recorded in the above-mentioned embodiments, or replace some of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A titanium dioxide modification process automation control method, characterized in that: The method comprises: Interactive titanium dioxide modification process, determining the modification target, wherein the modification target and the modification process node have a mapping identifier; Traversing the modification targets, performing big data retrieval to obtain production control records, and mining structure-activity relationships, wherein the structure-activity relationship is the relationship between the particle size microstructure of titanium dioxide and the performance target, and the performance target includes conventional performance and modified performance; Based on the structure-activity relationship, the process degree of freedom is determined, and in combination with the modification target, the adaptive adjustment module is supervised and trained and a digital feedback device is configured, wherein the digital feedback device is connected to the production line control system in a communication manner; Carry out production line processing and process monitoring based on titanium dioxide modification process, and transmit processing data back to the digital feedback device; Based on the adaptive adjustment module, the physical phase structure and the modified coating process are analyzed based on the processing data, and the control limit analysis is performed with the process freedom as a constraint to locate the feedback adjustment feature, and the feedback adjustment strategy is determined in combination with the structure-activity relationship; Transmitting the feedback regulation strategy to the production line control system to perform feedback regulation control on titanium dioxide production line processing; Based on the structure-activity relationship, the process freedom is determined, including: Traversing the structure-activity relationship, segmenting each process node based on the titanium dioxide modification process, and determining the node equivalent relationship; Obtaining a processing quality standard and a fitting processing loss, and determining a node degree of freedom based on the node equivalent relationship, wherein the fitting processing loss is determined based on a combination of multiple loss sources; The node degrees of freedom are integrated in the positive sequence to determine the process degrees of freedom.

2. The titanium dioxide modification process automation control method according to claim 1, characterized in that: The method of mining structure-activity relationship comprises: Determine the first structure-activity relationship based on the relative trend characteristics of microstructure and performance targets; Determine a second structure-activity relationship based on the relative trend characteristics of the control factor and the microstructure, wherein the control factor includes multiple control factors and the coupling relationship of the control factors is constrained; The first structure-activity relationship and the second structure-activity relationship are integrated to determine the structure-activity relationship, wherein the structure-activity relationship satisfies a preset record ratio.

3. The titanium dioxide modification process automation control method according to claim 1, characterized in that: The supervised training adaptive adjustment module includes: Traversing the production control records, reorganizing and marking the records based on the structure-activity relationship, the process degrees of freedom and the modification target, and determining pre-training samples; Traversing the pre-training samples, randomly extracting a group of training samples, and supervising the training of the first adaptive adjustment branch; Randomly extract N groups of training samples and supervise the training of the Nth adaptive adjustment branch; The first adaptive adjustment branches up to the Nth adaptive adjustment branch are integrated in parallel to determine the adaptive adjustment module, wherein the maximum proportion result of the branch output is used as the module output.

4. The titanium dioxide modification process automation control method according to claim 1, characterized in that: Once you have determined your feedback regulation strategy, include: Conducting control coupling analysis on the feedback regulation strategy to determine relevant control elements; Balance the relevant control factors and the feedback regulation strategy to determine the optimal regulation strategy.

5. The titanium dioxide modification process automation control method according to claim 1, characterized in that: The feedback regulation control of the titanium dioxide production line processing includes: Identify the processing data and calculate the particle size balance coefficient based on the particle size difference characteristics of titanium dioxide; Based on the process freedom, a standard equilibrium range of titanium dioxide particle size is set; If the particle size balance coefficient does not satisfy the standard balance interval, a directional control instruction is generated, the processing balance feature is determined, and directional control management is executed.

6. The titanium dioxide modification process automation control method according to claim 5, characterized in that: The execution of directional regulation and management includes: Introduce local electrostatic attraction to determine the control conditions of coating precipitation; The directional control instruction is identified, local electrostatic attraction is triggered, the coating precipitation control condition is initialized based on the processing balance feature, and the attraction and precipitation of the coating layer material is regulated by directional electrostatic attraction.

7. Titanium dioxide modification process automation control system, characterized in that: The system is used to execute the automated control method for titanium dioxide modification process according to any one of claims 1 to 6, and the system comprises: A modification target determination component, which is used for interactive titanium dioxide modification process to determine the modification target, and there is a mapping identifier between the modification target and the modification process node; A structure-activity relationship mining component, which is used to traverse the modification target, perform big data retrieval to obtain production control records, and mine structure-activity relationships, wherein the structure-activity relationship is the relationship between the particle size microstructure of titanium dioxide and the performance target, and the performance target includes conventional performance and modified performance; A regulation module training component, the regulation module training component is used to determine the process freedom based on the structure-activity relationship, supervise the training of the adaptive regulation module in combination with the modification target, and configure a digital feedback device, wherein the digital feedback device is in communication with the production line control system; A process monitoring component, which is used to perform production line processing and process monitoring based on the titanium dioxide modification process, and to transmit processing data back to the digital feedback device; A feedback regulation positioning component, the feedback regulation positioning component is used to analyze the physical phase structure and the modification and coating process based on the processing data based on the adaptive regulation module, perform control over-limit analysis with the process freedom as a constraint, locate feedback regulation features, and determine feedback regulation strategies in combination with the structure-activity relationship; A feedback regulation control component is used to transmit the feedback regulation strategy to the production line control system to perform feedback regulation control on the titanium dioxide production line processing.

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