CN-121978040-A - Device and method for on-line monitoring and feedback of dispersion quality of carbon nanomaterial slurry

CN121978040ACN 121978040 ACN121978040 ACN 121978040ACN-121978040-A

Abstract

The invention belongs to the technical field of carbon nanomaterial preparation, and particularly relates to an on-line monitoring and feedback device and method for the dispersion quality of carbon nanomaterial slurry. The device acquires absorbance, rheology and potential signals of the slurry through multi-sensing cooperation, and is coupled to generate a dispersity cooperation index, so that a real-time disperse phase space is constructed to map a dynamic disperse state into a transient phase point and a process track. And (3) calculating a situation intrusion vector representing state deviation based on the preloaded golden stable basin model, reversely synthesizing a process tuning instruction for converging a driving state to an optimal region through a process rheological inversion kernel, and compiling the process tuning instruction into an industrial control signal to realize closed-loop regulation. The invention solves the defects of monitoring lag, single dimension, incapability of dynamic analysis and intelligent closed-loop regulation and control in the prior art, and realizes real-time, accurate and self-adaptive optimization of slurry dispersion quality.

Inventors

DENG HONGBO
ZHOU HUI
ZHANG NING
Jiang lianyou
ZHENG YANBIN

Assignees

惠州丛聚能源科技有限公司
聚创(广东)智能装备有限公司

Dates

Publication Date: 20260505
Application Date: 20260120

Claims (10)

1. Carbon nanomaterial thick liquids dispersion quality on-line monitoring and feedback device, its characterized in that includes: the multi-parameter flow field probe array is used for synchronously acquiring absorbance fingerprints, rheological response spectrums and interface potential signals of the slurry; The disperse phase space evolution modeling module is used for coupling the absorbance fingerprint and the rheological response spectrum to generate a dispersity synergy index, constructing a real-time disperse phase space by taking the dispersity synergy index as a horizontal axis and an interface potential signal as a vertical axis, and mapping synchronous data into transient phase points in the real-time disperse phase space; The process track entropy state sensing module is used for connecting transient phase points of the time sequence to form a process evolution track, calculating the current entropy state of the process evolution track according to the preloaded golden stable basin model, and calculating a situation intrusion vector of the intrusion golden stable basin; the regulation and control inverse mapping synthesis engine is used for receiving situation intrusion vectors, and inversely synthesizing process flow variable tuning harmonic waves capable of driving transient phase points from a current entropy state to a gold stable basin heart domain target point through an embedded process rheological inversion kernel; the industrial protocol injection and entropy lake module is used for compiling the process rheological tuning wave into a control pulse sequence which can be identified by corresponding industrial equipment, injecting the control pulse sequence into a production line, and precipitating the real-time disperse phase space, the process evolution track and the process rheological tuning harmonic data of the whole period to the process entropy lake.
2. The on-line monitoring and feedback device for dispersion quality of carbon nanomaterial slurry of claim 1, wherein the multi-parameter flow field probe array comprises: the photon acquisition probe is used for acquiring absorbance fingerprints representing the space distribution state of the nanoparticle group on line; The shear stress acquisition probe is used for acquiring a rheological response spectrum representing the internal structural strength of the slurry on line; And the electric double layer acquisition probe is used for acquiring interface potential signals representing interaction potential among particles on line.
3. The on-line monitoring and feedback device for dispersion quality of carbon nanomaterial slurry according to claim 1, wherein the dispersion state phase space evolution modeling module comprises: the synergy index synthesis submodule is used for dividing the absorbance fingerprint obtained in real time by the characteristic viscosity value in the rheological response spectrum, and calculating to obtain a dispersity synergy index which characterizes the synergy relationship between dispersion uniformity and flow resistance; and the phase space mapping sub-module is used for constructing a two-dimensional real-time disperse phase space by taking the dispersity collaborative index as an abscissa and the interface potential signal as an ordinate, and mapping the dispersity collaborative index and the interface potential signal at each moment into a transient phase point in the real-time disperse phase space.
4. The on-line monitoring and feedback device for dispersion quality of carbon nanomaterial slurry according to claim 1, wherein the process trajectory entropy state sensing module comprises: The track chain generation sub-module is used for connecting transient phase points which appear in a real-time disperse phase space according to time sequence to generate a process evolution track representing the dynamic evolution of the disperse process; The entropy state solution operator module is embedded with a golden stable basin model, wherein the golden stable basin model defines a closed and optimal golden stable basin area in a real-time disperse phase space; The entropy state solution operator module is used for calculating a vector from the latest transient phase point to the golden stable basin heart domain target point to be used as a situation intrusion vector, wherein the direction of the situation intrusion vector is defined as an intrusion direction, and the modular length is defined as intrusion intensity; Meanwhile, calculating the recent curvature change rate of the process evolution track as a track entropy value, wherein the track entropy value is used for representing the chaos trend of the process.
5. The on-line monitoring and feedback device for the dispersion quality of the carbon nanomaterial slurry according to claim 4, wherein the golden stable basin model is a dynamic deformation basin generated by combining a Gaussian mixture model and a convex hull algorithm based on a plurality of groups of historical optimal production batch data clusters; The boundary morphology, area and heart domain target point position of the dynamic deformation basin can carry out self-adaptive deformation according to the input carbon nano material crystal structure code and the hash value of the slurry formula.
6. The on-line monitoring and feedback device for dispersion quality of carbon nanomaterial slurry according to claim 1, wherein the regulating and controlling the inverse mapping synthesis engine comprises: The inversion solution operator module is embedded with a process rheology inversion kernel, wherein the process rheology inversion kernel takes a situation invasion vector and a track entropy value as input, and reversely maps out accurate adjustment amounts of a dispersion energy input spectrum, a dispersant chemical potential input gradient and a reaction kettle thermodynamic field by solving an optimization problem taking a slurry rheology constitutive equation and a DLVO theory as constraint conditions; and the harmonic regulation compiling sub-module is used for compiling the accurate adjustment quantity of the dispersion energy input spectrum, the dispersion agent chemical potential input gradient and the reaction kettle thermodynamic field into a group of process flow harmonic regulation with specific amplitude, frequency and phase relation in the time domain according to the equipment response characteristic and the process safety boundary.
7. The on-line monitoring and feedback device for dispersion quality of carbon nanomaterial slurry according to claim 6, wherein the process rheological inversion kernel is a hybrid architecture model, the kernel is a structure-rheological relation predictor constructed by a graphic neural network, and the periphery is coupled with an on-line optimizer based on a model prediction control framework for solving the optimal adjustment under multiple constraints.
8. The on-line monitoring and feedback device for dispersion quality of carbon nanomaterial slurry according to claim 1, wherein the industrial protocol injection and entropy lake module comprises: The protocol injection gateway sub-module supports the harmonic decomposition of the process flow variable tone and is adapted to an OPCUA information model, an EtherCAT driving message and a time sensitive network scheduling instruction, so that the lossless injection of the heterogeneous industrial control system is realized; and the process entropy lake submodule is used for archiving and storing each frame of real-time dispersed phase space snapshot, process evolution track fragments, situation invasion vectors and process flow modulation harmonic waves according to a non-tamperable chained structure and nanosecond time stamps to form a process entropy lake with complete causal relationship.
9. The on-line monitoring and feedback device for dispersion quality of carbon nanomaterial slurry according to claim 1, further comprising: The panoramic perception and premonition early warning cockpit comprises a phase space holographic projection unit and an entropy change premonition early warning unit, wherein: the phase space holographic projection unit is used for three-dimensionally presenting a three-dimensional dynamic hologram of a real-time dispersed phase space, a gold stable basin and a process evolution track by using an augmented reality technology; The entropy change premonition early warning unit is used for triggering the entropy change premonition early warning when the track entropy value monotonically increases to exceed a set threshold value in a continuous period or the invasion direction of the situation invasion vector continues to the back centrifugal domain target point.
10. The on-line monitoring and feedback method for the dispersion quality of the carbon nano material slurry is characterized by comprising the following steps: Synchronously acquiring absorbance fingerprints, rheological response spectrums and interface potential signals of the slurry; Coupling the absorbance fingerprint and the rheological response spectrum to generate a dispersity cooperative index, constructing a real-time disperse phase space by taking the dispersity cooperative index as a horizontal axis and an interface potential signal as a vertical axis, and mapping synchronous data into transient phase points in the real-time disperse phase space; Connecting transient phase points of the time sequence to form a process evolution track, calculating the current entropy state of the process evolution track according to a preloaded golden stable basin model, and calculating a situation intrusion vector of the intrusion golden stable basin; Receiving situation intrusion vectors, reversely synthesizing process flow tonal harmonics capable of driving transient phase points from a current entropy state to a golden stable basin heart domain target point through an embedded process rheological inversion kernel; Compiling the process flow tonal modification harmonic wave into a control pulse sequence which can be identified by corresponding industrial equipment, injecting the control pulse sequence into a production line, and precipitating the real-time disperse phase space, the process evolution track and the process flow tonal modification harmonic wave data of the whole period into a process entropy lake.

Description

Device and method for on-line monitoring and feedback of dispersion quality of carbon nanomaterial slurry Technical Field The invention relates to the technical field of carbon nanomaterial preparation, in particular to an on-line monitoring and feedback device and method for the dispersion quality of carbon nanomaterial slurry. Background In the fields of high-technology industries such as new energy, advanced composite materials, electronic packaging and the like, carbon nano materials (such as carbon nano tubes and graphene) become key base materials with excellent mechanical, electrical and thermal properties. The full play of its properties is highly dependent on the formation of a highly uniform, stable dispersion slurry in a solvent or resin matrix. Therefore, the control of the dispersion quality of the slurry is a core process link of the preparation and application of related materials. In current industrial practice, the evaluation of the dispersion quality mainly depends on periodic off-line sampling, and the dispersion quality is sent to a laboratory for detection by using a laser particle size analyzer, a scanning electron microscope or an ultraviolet spectrophotometer and other devices. The mode has obvious time blind areas, and often takes a few hours or even longer from sampling and inspection to obtaining an analysis result, and transient state changes and destabilization precursors in dynamic dispersion processes such as high-speed stirring, ultrasonic treatment and the like cannot be captured. When the detection result shows that the quality is unqualified, a large amount of slurry is scrapped, so that serious raw material waste and production interruption are caused. To solve the hysteresis problem of off-line detection, some on-line monitoring technologies, such as an on-line viscometer or a near infrared probe, are gradually introduced in the industry. However, the existing online scheme has the systematic defects that firstly, the monitoring dimension is single, only individual parameters such as viscosity or concentration are usually focused, and multi-dimensional key information reflecting dispersion uniformity (such as absorbance), rheological characteristics (such as viscosity) and colloid stability (such as Zeta potential) cannot be synchronously obtained, so that the complex dispersion state is evaluated on one side. More importantly, the prior art only stays at the threshold monitoring and alarming level of the isolated parameters, and lacks the capability of deep coupling multi-source heterogeneous data and constructing a comprehensive state model capable of reflecting the dynamic evolution rule of the dispersion process in real time. Because quantitative characterization and trend calculation of process dynamics cannot be formed, an existing system cannot automatically derive an accurate regulation strategy according to a real-time state model, and the strategy cannot be converted into a closed-loop control instruction capable of driving a production line executing mechanism. This results in a production process which still relies heavily on manual experience for delayed and extensive intervention, and cannot realize real-time, adaptive optimal control of slurry dispersion quality. Therefore, the invention provides an on-line monitoring and feedback device and method for the dispersion quality of the carbon nano material slurry. Disclosure of Invention The invention provides an on-line monitoring and feedback device and method for the dispersion quality of carbon nano material slurry, which constructs a real-time dispersion phase space and a process track through multi-sensor fusion, and realizes closed loop based on model solution computing mode potential invasion vector and reverse synthesis regulation and control instruction, thereby solving the core defects of monitoring one side, lacking a dynamic model and intelligent closed loop regulation and control in the prior art, and realizing on-line and self-adaptive optimization control of the slurry dispersion quality. The invention provides an on-line monitoring and feedback device for the dispersion quality of carbon nanomaterial slurry, which comprises the following components: the multi-parameter flow field probe array is used for synchronously acquiring absorbance fingerprints, rheological response spectrums and interface potential signals of the slurry; The disperse phase space evolution modeling module is used for coupling the absorbance fingerprint and the rheological response spectrum to generate a dispersity synergy index, constructing a real-time disperse phase space by taking the dispersity synergy index as a horizontal axis and an interface potential signal as a vertical axis, and mapping synchronous data into transient phase points in the real-time disperse phase space; The process track entropy state sensing module is used for connecting transient phase points of the time sequence to form a process evolution t