34results about "Viscosity control" patented technology

The invention provides a yoghurt viscosity control method and device based on reinforcement learning, the method is applied to a control device comprising a data acquisition module and an edge processing unit, and the method specifically comprises the following steps: establishing a digital twinborn model of a demulsification process; environment parameters in the demulsification process are collected in real time, and a time sequence data set is constructed in combination with simulation parameters output by the digital twin model; based on a reinforcement learning algorithm, correcting the digital twinborn model according to the time sequence data set; based on the corrected digital twinborn model, generating a stirring control strategy in combination with a preset viscosity value; and adjusting stirring parameters in the demulsification process according to the stirring control strategy. On the basis of realizing efficient control of the yogurt viscosity through the digital twinborn model, the reinforcement learning algorithm is further introduced, so that the digital twinborn model is closer to reality, the accuracy of the output control strategy is guaranteed, and the control efficiency and accuracy of yogurt viscosity control are both considered.

The invention discloses a variable-viscosity UV ink system and an intelligent control method thereof, and relates to the technical field of data processing, and the system comprises a multi-dimensional sensing module which is used for executing multi-dimensional sensing data collection and establishing an ink state feature vector; the prediction module is used for outputting predicted viscosity distribution parameters by using the double-domain collaborative modeling unit; the fusion module is used for authenticating fusion and outputting fusion viscosity state parameters; the feedback module is used for performing self-adaptive feedback optimization according to a difference comparison result of the target viscosity curve and the fused viscosity state parameters; and the management module is used for performing intelligent control management according to the self-adaptive feedback optimization result. The technical problems that in the prior art, UV ink viscosity control is single and lagged, the multi-dimensional cooperative regulation and control capacity is lacked, and light curing and rheological property coupling cannot be dealt with are solved, and the technical effects that real-time, accurate and self-adaptive prediction and cooperative control over the ink viscosity are achieved, and therefore the printing quality and the process stability are improved are achieved.

The invention provides a closed-loop control method for viscosity in a pregelatinized starch production process, and relates to the technical field of intelligent control, which comprises the following steps: acquiring real-time viscosity data and real-time temperature data of pregelatinized starch slurry, calculating a viscosity deviation value, calculating a temperature compensation coefficient by adopting an improved Arrhenius viscosity-temperature equation, and calculating the viscosity deviation value according to the temperature compensation coefficient. A compensated viscosity deviation value is obtained, the compensated viscosity deviation value and the change rate of the compensated viscosity deviation value are input into a double-variable fuzzy controller, and the stirring speed adjusting amount is calculated according to a fuzzy rule; according to the compensated viscosity deviation value and the change rate of the viscosity deviation value, an incremental PID control algorithm is adopted to calculate the adjusting amount of the opening degree of a steam valve, and cooperative control over steam heating and mechanical shearing is formed. According to the method, accurate compensation of the nonlinear relation between the viscosity and the temperature is achieved, by introducing a dynamic correction factor and a multi-protection mechanism, adaptability and stability under complex working conditions are enhanced, and the regulation and control efficiency and the product quality stability in the pregelatinized starch production process are effectively improved.

The invention discloses an online quality closed-loop control method and system for a lubricating material, and belongs to the technical field of production control. The optimal heating temperature estimated by equipment is estimated according to the initial kinematic viscosity and the preset target kinematic viscosity of the lubricating material at the standard temperature; the final target kinematic viscosity at the equipment estimation optimal heating temperature is analyzed according to the preset target kinematic viscosity at the standard temperature, so that the control target is aligned with the actual working condition, the accuracy of end point control is improved, the equipment estimation optimal stirring speed is estimated according to the initial kinematic viscosity and the final target kinematic viscosity, and the control accuracy is improved. The optimal stirring speed is estimated according to the real-time kinematic viscosity updating equipment, so that the adjustment of the stirring speed fits the production working condition, and the production efficiency and the product quality are improved.

The invention relates to a method and system for regulating and controlling the addition amount of whole wheat flour in bread baking, a terminal and a medium, and belongs to the technical field of bread baking. The regulating and controlling method comprises the steps that the dielectric constant # imgabs0 # and the particle size D of the whole wheat flour are collected; judging whether the dielectric constant # imgabs1 # is above a dielectric set value or not and whether the particle size D is below a particle size set value or not; if yes, triggering first-time feeding, and feeding 15% of whole wheat flour; obtaining a viscosity value # imgabs2 #; judging whether the viscosity value # imgabs3 # is reduced or not; if yes, carrying out secondary feeding according to a pre-constructed feeding model; adjusting the stirring speed according to a pre-constructed stirring speed model; judging whether the viscosity value # imgabs4 # is maintained at a viscosity set value within a set time length or not; and if yes, adding the rest of the whole wheat flour. The method has the beneficial effect that the quality stability of a final product is improved.

The invention provides a viscosity self-adjusting electrolyte and a microfluidic distribution system thereof, and relates to the technical field of lithium batteries. The electrolyte comprises a basic electrolyte, cyclodextrin and a self-adjusting viscosity additive, the self-regulating viscosity additive comprises a four-arm star block copolymer. According to the invention, a dynamic network is constructed by using the host-guest interaction of the four-arm star-shaped block copolymer and cyclodextrin, so that the dual self-adaptive adjustment of the viscosity of the electrolyte on temperature and potential is realized. The system is spontaneously tackified at high temperature or high pressure through the temperature-sensitive and electrochemical response arm to inhibit side reaction, and meanwhile, efficient ion transmission is maintained by means of the ion conduction arm, so that the safety is remarkably improved on the premise of not sacrificing the conductivity, and the technical contradiction between inhibition of thermal runaway and guarantee of fast charge kinetics is effectively solved.

The present invention relates to a liquid substance dispensing device, and the liquid substance dispensing device of the present invention is characterized by comprising: a nozzle part capable of dispensing a liquid substance; a liquid substance storage unit connected to the nozzle unit in a state in which a liquid substance is accommodated; a first temperature adjustment unit disposed in the nozzle unit so as to adjust the temperature of the liquid substance passing through the nozzle unit; and a gas supply unit that supplies a heated or cooled gas toward the liquid substance application site in order to control the temperature of the liquid substance application site.

The invention discloses a sweet potato vermicelli pulping process optimization method and system based on dynamic viscosity regulation and control, and relates to the technical field of process optimization. The method comprises the following steps: acquiring a whole process flow of a pulping process, dividing the whole process flow into different process sub-flows, constructing a three-dimensional physical model according to basic information of each processing device, constructing a digital twin model in combination with corresponding device data, and acquiring adjustable parameters contained in each process sub-flow; respectively obtaining the viscosity of the slurry under the dynamic change of different adjustable parameters in the digital twinborn model, constructing a viscosity evaluation model, obtaining the predicted viscosity by using the viscosity evaluation model, judging whether the viscosity needs to be adjusted and controlled in combination with the target viscosity, and generating an adjusting and controlling scheme; the influence of isolated change of different parameters on the final slurry viscosity can be obtained, and a real-time and lowest-cost dynamic regulation and control mechanism can be realized according to the current slurry viscosity.

The utility model relates to the technical field of cream paper production, and discloses a cream viscosity control device and system for cream paper production, the cream viscosity control device comprises a heat insulation shell, a heating pipeline is arranged in the shell, and the inlet end and the outlet end of the heating pipeline are respectively provided with a temperature sensor and a viscosity sensor. The temperature and viscosity of the cream entering and exiting from the control device are monitored in real time, the heating power of the electric heating wire can be automatically adjusted, the viscosity of the cream is stabilized within a preset range, the heating power is adjusted in cooperation with the dynamic state of the heat preservation filler, the heating temperature is prevented from being too high or too low, and the stable viscosity of the cream is kept. According to the cream viscosity control system, the cream viscosity control devices are arranged on the liquid conveying pipeline between the liquid storage tank and the emulsion tank, the liquid conveying pipeline between the emulsion tank and the coating equipment and the liquid conveying pipeline between the coating equipment and the vibrating screen. Twice segmented heating of the cream is realized, and the viscosity stability of the cream during coating is improved. The utility model has the characteristics of simple structure, low cost, strong practicability and good use effect.

To provide a liquid material dispensing device capable of improving the coating quality of a liquid material.SOLUTION: The liquid material dispensing apparatus includes a nozzle part (110) capable of discharging a liquid material, a liquid material storage part (120) containing the liquid material and connected to the nozzle part, a first temperature adjustment part (140) disposed in the nozzle part to adjust the temperature of the liquid material passing through the nozzle part, and a gas supply part (170) for supplying heated or cooled gas to a liquid material coating portion to control the temperature of the liquid material coating portion.SELECTED DRAWING: Figure 1

The present invention provides a yogurt viscosity control method and device based on reinforcement learning. The method is applied to a control device including a data acquisition module and an edge processing unit. Specifically, the method comprises: establishing a digital twin model of the demulsification process; collecting environmental parameters during the demulsification process in real time, and constructing a time series data set in combination with the simulation parameters output by the digital twin model; correcting the digital twin model according to the time series data set based on a reinforcement learning algorithm; generating a stirring control strategy based on the corrected digital twin model in combination with a preset viscosity value; and adjusting the stirring parameters of the demulsification process according to the stirring control strategy. Based on the efficient control of yogurt viscosity achieved through the digital twin model, the present invention further introduces a reinforcement learning algorithm to make the digital twin model more realistic and ensure the accuracy of its output control strategy, thereby taking into account both the control efficiency and accuracy of yogurt viscosity control.

An apparatus for controlling viscosity of a slurry. The apparatus includes: a mixing module (120) for mixing raw materials for a secondary battery; and a processor (130) performing machine learning for prediction of viscosity of the slurry, predicting viscosity of the slurry in real time during a mixing process through machine learning, and adjusting conditions of the mixing process performed by the mixing module (120) such that a predictive viscosity of the slurry meets a target viscosity.

The invention relates to the field of viscosity control, and provides a viscosity control method based on image recognition in order to solve the problem that effective dispersion of solid substances is difficult to realize under the condition that additives such as a dispersing agent are not added in the prior art, at least one section of a viscosity curve of a system is gradually increased along with addition of a substance A; acquiring a first relation curve between the dosage and viscosity of the substance A; obtaining a second relation curve between the particle size and the viscosity of the substance B; when a number pair composed of the particle size of the substance B and the viscosity of the system is located on the second relation curve, the uniformity of the substance B in the system is larger than or equal to a threshold value; according to the first relation curve and the second relation curve, obtaining the minimum dosage of the substance A in the system when the substance B is added; the uniformity obtaining method comprises the steps of obtaining a system image, and obtaining uniformity through the system image. After the viscosity control method is applied to preparation of the soybean curd wrapped with the sesame paste, uniform dispersion of the sesame can be ensured, and the product is more environmentally friendly and healthier.

The invention discloses a melt viscosity stability control method for coping with great load change of a polyester device, and particularly relates to the technical field of chemical process control. Constructing a reaction rate model containing a catalyst activity parameter alpha (t) based on a polyester polycondensation kinetic mechanism; operating parameters such as temperature, vacuum degree and feeding flow are collected, and alpha (t) is dynamically calculated by combining a model predicted value and actually measured viscosity difference; when the alpha (t) continuously deviates from the preset threshold value, rate model updating or sub-model switching is triggered; the updated model is used for feed-forward adjustment of process parameters, and feedback correction is carried out in combination with a viscosity real-time detection result; the combined control instruction is output to a device control system to drive equipment such as a temperature control device, a vacuum system and a metering pump to complete adjustment; by means of the method, intelligent stable control over the melt viscosity of the polyester device under the unsteady-state working condition is achieved.

The invention relates to a method (100) of determining a property of a sample fluid in an IVD analyzer (10) comprising the following steps: introducing (110a) a first fluid (1) into a fluidic system (35) of the IVD analyzer (10), wherein the fluidic system (35) comprises a channel (4) with a resilient seal element configured to change a cross section of the channel (4) in response to a change in a local pressure state; introducing (110b) a sample fluid (2), which is spatially separated from the first fluid (1) into the fluidic system (35); contacting (120) a conductivity sensor unit (5) in the channel (4) with the first fluid (1); detecting (130) a set of conductivity parameter values of the first fluid (1) during a conductivity detection time span (cdts) using the conductivity sensor unit (5) wherein the conductivity parameter values are dependent from the cross section of the channel; and automatically determining (150) the property of the sample fluid (2) based on the detected set of conductivity parameter values of the first fluid. The invention may be considered as being highly efficient, eco-friendly and adding remarkable value to an already existing IVD fluid sensor system. Importantly, patients benefit from additional parameters that may be provided by the IVD system. As the invention allows adding value and increasing the functionality to an already existing IVD system without the need for adding further elements, it may be considered as being very eco-friendly in the sense of a green invention.

The invention provides a production control method and system of a phase change material. The method comprises the steps that when it is monitored that the stirring duration of mixed liquid reaches the set duration, multi-modal data of the mixed liquid in the stirring process is obtained; a space-time convolutional neural network is adopted to extract space-time correlation features from the reflection spectrum features, the liquid level fluctuation amplitude and the bubble distribution features, and a rheological feature extraction module is adopted to extract apparent viscosity time sequence features from torque feedback data; inputting the space-time correlation characteristics and the apparent viscosity time sequence characteristics into a gating attention mechanism for dynamic weighting to obtain a multi-modal representation vector; and inputting the multi-modal representation vector into an improved Transform time sequence classifier, dynamically outputting a stirring state judgment result based on a progressive classification threshold value, and triggering a process switching signal when judging that a thick stable state is reached. According to the invention, the recognition accuracy and stability of the thick stable state can be obviously improved.

A washing machine including a cabinet; a tub disposed in the cabinet; a drum arranged inside the tub so as to be rotatable; at least one damper coupled to the cabinet and the tub, and including at least one coil configured to generate a magnetic field based on a voltage applied to the at least one coil, and a magneto-rheological fluid having a viscosity that changes based on the magnetic field; and a controller configured to control the voltage applied to the at least one coil based on a rotation speed of the drum and a vibration value of the tub so as to generate the magnetic field to change the viscosity of the magneto-rheological fluid to reduce the vibration of the tub caused by the rotation of the drum.

The invention discloses an online real-time monitoring and automatic adjusting device for coating viscosity, and belongs to the technical field of coating production and processing equipment. Comprising a shell and a main pipeline provided with a feeding pipe. The core is that a linkage device is arranged on the main pipeline, the linkage device comprises a rotating shaft and a rotating rod which are in meshing transmission through a gear, and paddles are arranged at the end of the rotating shaft and used for sensing the viscosity of the coating and generating rotating speed changes. The rotating motion of the rotating rod is converted into linear displacement of the top moving plate through the screw barrel and screw pair. According to the displacement, on one hand, the sliding block moves in the sliding groove of the digital display board, and local visual viscosity reading is achieved in cooperation with scales; on the other hand, the signals are converted into electric signals through a displacement sensor on the moving plate. And the signal is transmitted to the controller to drive the motor in the feeding pipe to adjust the opening degree of the valve plate and control the addition amount of the diluent, so that online real-time monitoring and automatic closed-loop adjustment of the viscosity of the coating are realized.

A method of controlling a viscosity of fuel in a fuel control system with a vibratory meter is provided. The method includes providing the fuel to the vibratory meter, measuring a property of the fuel with the vibratory meter, and generating a signal based on the measured property of the fuel. The method also includes providing the signal to a temperature control unit configured to control the temperature of the fuel provided to the vibratory meter.

The utility model relates to a rubber preparation system. The rubber preparation system comprises a basic rubber solution supply device, a viscosity detection device and a control device, wherein the basic rubber solution supply device is used for supplying a basic rubber solution; the viscosity detection device is used for detecting the viscosity of the basic glue solution supplied by the basic glue solution supply device; and the control device is electrically connected with the viscosity detection device and is used for determining the mass percentage content of the dry glue in the basic glue solution according to the viscosity detected by the viscosity detection device and the corresponding relationship between the viscosity and the mass percentage content of the dry glue. The rubber preparation system is beneficial to improving the accuracy of dry rubber content testing, so that the oil filling stability and the oil filling qualification rate are improved.

The invention relates to the technical field of waterproof coatings, in particular to a waterproof coating construction viscosity control method and system, and the method comprises the steps: obtaining a rheological state vector of waterproof coating construction in real time; inputting the rheological state vector into a preset rheological behavior prediction model, wherein the rheological behavior prediction model outputs a rheological state set point; performing real-time rheological parameter regulation and control on the waterproof coating on the basis of the rheological state set point; after a phase change point is preset in the waterproof coating film forming process, morphological characterization data of a real-time film layer is obtained; and performing deviation calculation on the morphological representation data of the real-time film layer and morphological representation data of an ideal film layer, when a deviation calculation result exceeds a preset threshold value, triggering parameter correction of the rheological behavior prediction model, and generating a new rheological state set point. According to the present invention, the waterproof performance of the waterproof project can be improved, and the long-term durability of the coating film can be improved.

The invention belongs to the technical field of general physical or chemical methods, and particularly relates to mixing, in particular to a porous microsphere calcium silicate stirring preparation method, a preparation system and equipment, and the porous microsphere calcium silicate stirring preparation method comprises the following steps: adding a calcium nitrate solution into a sodium silicate aqueous solution containing a surfactant, and uniformly stirring; in the continuous stirring process, the control module is suitable for obtaining the inclination angle of the stirring paddle and the viscosity of the solution in real time, and the inclination angle of the stirring paddle is regulated and controlled in real time according to the viscosity of the solution, so that the stirring paddle pushes the end face of the solution to face upwards and gradually rotate until the end face faces downwards; furthermore, axial flows with different forces are generated in the solution in the stirring process to promote circulating mixing, and the mixing effect is improved.

A washing machine including a cabinet; a tub disposed in the cabinet; a drum arranged inside the tub so as to be rotatable; at least one damper coupled to the cabinet and the tub, and including at least one coil configured to generate a magnetic field based on a voltage applied to the at least one coil, and a magneto-rheological fluid having a viscosity that changes based on the magnetic field; and a controller configured to control the voltage applied to the at least one coil based on a rotation speed of the drum and a vibration value of the tub so as to generate the magnetic field to change the viscosity of the magneto-rheological fluid to reduce the vibration of the tub caused by the rotation of the drum.

A washing machine including a cabinet; a tub disposed in the cabinet; a drum arranged inside the tub so as to be rotatable; at least one damper coupled to the cabinet and the tub, and including at least one coil configured to generate a magnetic field based on a voltage applied to the at least one coil, and a magneto-rheological fluid having a viscosity that changes based on the magnetic field; and a controller configured to control the voltage applied to the at least one coil based on a rotation speed of the drum and a vibration value of the tub so as to generate the magnetic field to change the viscosity of the magneto-rheological fluid to reduce the vibration of the tub caused by the rotation of the drum.

The invention belongs to the technical field of viscosity control, and particularly relates to a coating viscosity control method and system, and the method comprises the following steps: S1, obtaining real-time data of preset process parameters in a coating process, and constructing a time sequence weighted state vector containing current and historical parameter information based on the real-time data and a preset exponential attenuation coefficient; respectively carrying out forward evolution on the time sequence weighted state vector by utilizing a plurality of reference path models associated with different coating working condition areas to obtain a plurality of candidate viscosity prediction paths; and S2, calculating the mahalanobis distance between the time sequence weighted state vector and the historical trajectory of each reference path model as the path deviation degree. According to the method, the accuracy of viscosity prediction and the adaptability to working condition changes are improved, the response speed of control is improved on the premise of ensuring the stability of a control system, various disturbances in the coating process can be better coped, and the consistency of the product coating quality is ensured.

The present disclosure relates to a liquid material dispensing apparatus, and the liquid material dispensing apparatus according to the present disclosure is characterized to include a nozzle part that dispenses a liquid material; a liquid material storage part that is connected to the nozzle part and contains the liquid material; a first temperature adjustment part that is arranged in the nozzle part in order to adjust a temperature of the liquid material passing through the nozzle part; and a gas supply part that supplies a heated or cooled gas towards a liquid material application site in order to control a temperature of the liquid material application site.

The utility model discloses a kind of battery slurry viscosity automatic control device, including bypass pipeline, bypass pipeline is set not less than 3 entrances and exits, wherein first outlet pipe is connected with stirring tank, inlet pipe and second outlet pipe are connected with material conveying pipeline; Slurry pump and material conveying valve are set on material conveying pipeline;Inlet pipe is located at the output side of slurry pump, and second outlet pipe is located at the suction side of slurry pump;Detection device and detection valve are arranged on bypass pipeline, detection valve is located at the junction of inlet pipe and second outlet pipe, and detection device is located between detection valve and stirring tank. The utility model has significantly improved production continuity and efficiency, reduced equipment failure interference on production, reduced maintenance cost and downtime loss, low transformation cost, and the operation process is easy to master, and staff can be used after simple training.

The present disclosure relates to a liquid material dispensing apparatus, and the liquid material dispensing apparatus according to the present disclosure is characterized to include a nozzle part that dispenses a liquid material; a liquid material storage part that is connected to the nozzle part and contains the liquid material; a first temperature adjustment part that is arranged in the nozzle part in order to adjust a temperature of the liquid material passing through the nozzle part; and a gas supply part that supplies a heated or cooled gas towards a liquid material application site in order to control a temperature of the liquid material application site.

To provide a method for determining density of a sample which is at least viscous and is specifically liquid by using a rotary rheometer.SOLUTION: A rheometer 100 includes: a first measurement unit 7 for containing a sample 12 which is at least viscous and is specifically liquid; and a second measurement unit 8 immersed in the sample 12. The first measurement unit 7 and the second measurement unit 8 are capable of making a relative motion to each other and a second measurement unit 8 has a known volume V. A method includes the steps of: measuring perpendicular resistance between measurement units 7 and 8 after the second measurement unit 8 is immersed in the sample 12, the measured perpendicular resistance corresponding to buoyance between the sample 12 and the second measurement unit 8; and calculating density of the sample 12, using the known volume of the second measurement unit 8 and the measured resistance, on the basis of the principle of Archimedes.SELECTED DRAWING: Figure 1