CN-121990374-A - Device for hermetically conveying glass melting raw materials based on industrial vision

CN121990374ACN 121990374 ACN121990374 ACN 121990374ACN-121990374-A

Abstract

The invention relates to the technical field of glass melting raw material conveying devices, in particular to a device for hermetically conveying glass melting raw materials based on industrial vision, which comprises a conveying pipeline, a centrifugal blower, a stirring mixer, a pulse bag filter and a control unit, wherein the conveying pipeline consists of an air suction pipe and an air output pipe, a discharge port of the stirring mixer is connected to an inlet of the centrifugal blower through a joint of a rotary valve and the air suction pipe, and an outlet of the centrifugal blower is connected to an inlet of the pulse bag filter through the air output pipe. The device for hermetically conveying glass melting raw materials based on industrial vision provided by the invention adopts a conveying pipeline for hermetically conveying, and solves the problems that in the prior art, the belt conveying volume is large, dust emission cannot be avoided, the conveying angle is limited, the mechanical structure is complex and the failure rate is high.

Inventors

DuanMu Shunbao
XU HUANLONG
Chu Yunsong
HE QING
Yin Cancheng

Assignees

南京佰盛玻璃技术有限公司
南京佰盛装备科技有限公司

Dates

Publication Date: 20260508
Application Date: 20240311

Claims (10)

1. The device for hermetically conveying glass melting raw materials based on industrial vision comprises a conveying pipeline (11), a centrifugal blower (3), a stirring mixer (4), a pulse bag filter (5) and a control unit (6), wherein the conveying pipeline (11) consists of an air suction pipe (1) and an air output pipe (2), and is characterized in that a discharge port of the stirring mixer (4) is connected to an inlet of the centrifugal blower (3) in a converging manner through a rotary valve (401) and the air suction pipe (1), and an outlet of the centrifugal blower (3) is connected to an inlet of the pulse bag filter (5) through the air output pipe (2); the control unit (6) comprises a data acquisition module, a model training module and a controller; The data acquisition module is used for acquiring historical raw material conveying parameters, wherein the historical raw material conveying parameters are acquired under the condition of normal and stable conveying of raw materials, the historical raw material conveying parameters comprise raw material conveying comprehensive parameters and raw material discharging speed, and the raw material conveying comprehensive parameters comprise raw material conveying coefficients, pipeline conveying coefficients and air flow data; The model training module is used for training a machine learning model for predicting raw material blanking speed data based on historical raw material conveying parameters, collecting real-time raw material conveying comprehensive parameters and predicting raw material blanking speed data based on the trained machine learning model; And a controller for controlling the raw material discharging speed of the rotary valve (401) based on the predicted raw material discharging speed.
2. The apparatus for hermetically conveying glass molten raw materials based on industrial vision according to claim 1, wherein the parameters affecting the raw material conveying coefficient include raw material granularity data, mass data per unit volume of raw material; parameters affecting the pipe conveying coefficient include conveying height difference data, pipe friction coefficient and pipe length data.
3. The apparatus for hermetically conveying glass melting raw materials based on industrial vision according to claim 1, wherein the raw material granularity data acquisition method comprises: Performing particle size analysis on the glass raw material by using a laser particle size analyzer, and measuring the scattered light intensity of particles in the liquid by using a laser scattering principle, so as to obtain the particle size distribution of the particles and obtain raw material particle size data of the glass raw material; the method for acquiring the mass data of the unit volume of the raw materials comprises the following steps: The method comprises the steps of obtaining a predetermined volume of melted raw materials, placing the melted raw materials into a container, weighing the total weight of the container and the raw materials by using a weighing device, obtaining the net weight of the raw materials by subtracting the weight of the container, and calculating the mass of the unit volume according to the net weight of the raw materials and the volume of the container.
4. The apparatus for hermetically conveying glass melting raw materials based on industrial vision according to claim 1, wherein the raw material conveying coefficient expression is: wherein YX is a raw material conveying coefficient, ld is raw material granularity data, Z1 is raw material mass data in unit volume, And As the weight factor of the weight factor, And Are all greater than 0.
5. The apparatus for hermetically conveying glass melting raw materials based on industrial vision according to claim 1, wherein the conveying height difference data acquisition method comprises: obtaining the conveying paths of the melted raw materials in an air suction pipe (1) and an air output pipe (2); Taking the ground as a reference, acquiring the height value of the lowest point and the height value of the highest point on the conveying path; the expression of the conveying height difference data is Hc=H 1 -H 2 ; Wherein Hc is the data of the conveying height difference, H 1 is the height value of the highest point, and H 2 is the height value of the lowest point; The method for acquiring the friction coefficient of the pipeline comprises the following steps: air pressure sensors are respectively arranged at the joint of the air suction pipe (1) and the rotary valve (401) and the air outlet of the air output pipe (2), the centrifugal blower (3) is turned on, and a first air pressure value at the joint of the air suction pipe (1) and the rotary valve (401) and a second air pressure value at the air outlet of the air output pipe (2) are collected through the air pressure sensors; The expression of the friction coefficient of the pipeline is: Wherein F mx is the friction coefficient of the pipeline, p 1 is the pressure value at the joint of the air suction pipe (1) and the rotary valve (401), p 2 is the pressure value of the air outlet of the air output pipe (2), D gd is the inner diameter of the conveying pipeline (11), L gd is the pipeline length data, namely the length from the joint of the air suction pipe (1) and the rotary valve (401) to the air outlet of the air output pipe (2), is obtained by direct measurement, ρ gd is the density of the dissolved raw material, the density is obtained by filling the dissolved raw material into a container with a known volume, measuring the mass and dividing the volume of the dissolved raw material, and V gd is the flow rate of the conveyed dissolved raw material, and is obtained by direct measurement of a flow rate sensor arranged in the conveying pipeline (11).
6. The apparatus for closed conveying glass melting raw materials based on industrial vision according to claim 1, wherein the expression of the pipe conveying coefficient is: Wherein Gd xs is a pipeline transportation coefficient, And As the weight factor of the weight factor, And Are all greater than 0.
7. The apparatus for closed conveying glass melting raw materials based on industrial vision according to claim 1, wherein the training method of the machine learning model for predicting raw material blanking speed data comprises: converting the collected historical raw material conveying parameters into a corresponding set of characteristic vectors; And taking the collected raw material conveying comprehensive parameters as input of a machine learning model, taking the raw material blanking speed corresponding to each group of raw material conveying comprehensive parameters as output, taking the raw material blanking speed actually corresponding to each group of raw material conveying comprehensive parameters as a prediction target, taking the minimized machine learning model loss function value as a training target, and stopping training when the machine learning model loss function value is smaller than or equal to a preset target loss value.
8. The device for hermetically conveying glass melting raw materials based on industrial vision according to claim 1, wherein the stirring mixer (4) comprises a stirring box (41), a frame (42) is installed at the center of the top of the stirring box (41), a stirring motor (43) is fixed on the frame (42) through bolts, an output shaft of the stirring motor (43) is fixedly connected with a stirring shaft (45) through a coupling, the stirring shaft (45) extends into the stirring box (41), a stirring rod (46) is welded in the stirring box (41) on the stirring shaft (45), and a feeding pipe (44) is arranged on the outer side of the frame (42) at the top of the stirring box (41).
9. The device for hermetically conveying glass melting raw materials based on industrial vision according to claim 1, wherein the rotary valve (401) comprises a valve body (411), a valve shaft (412) is rotatably connected inside the valve body (411), two ends of the valve shaft (412) extend to the outer side of the valve body (411), a plurality of blades (413) are welded in the valve body (411) on the valve shaft (412), a mounting frame (414) is welded on the outer wall of the valve body (411), a driving motor (415) for driving the valve shaft (412) to rotate is fixedly connected on the mounting frame (414) through bolts, connecting pieces (416) are welded at openings at the bottom and the top of the valve body (411), and bolt holes are formed in the connecting pieces (416).
10. The device for hermetically conveying glass melting raw materials based on industrial vision according to claim 1 is characterized in that an air filter (7) and a V-cone flowmeter (8) are installed at the air inlet end of the air suction pipe (1), and the V-cone flowmeter (8) is used for measuring air flow in the conveying process.

Description

Device for hermetically conveying glass melting raw materials based on industrial vision Technical Field The invention relates to the technical field of glass melting raw material conveying devices, in particular to a device for conveying glass melting raw materials in a closed manner based on industrial vision. Background The glass-melting raw materials generally comprise silicon dioxide (SiO 2), which is one of the main components of the glass and occupies the main body of the glass components to determine the basic properties and characteristics of the glass, oxides (such as CaO, na2O, K O and the like), which are commonly used as fluxing agents of the glass to reduce the melting point of the glass and improve the processability and transparency of the glass, fluorides (such as NaF, caF2 and the like), which can reduce the viscosity of the glass and promote the melting and uniformity of the glass, oxides (such as Al2O3, mgO and the like), which are commonly used as stabilizers and reinforcing agents of the glass to improve the heat resistance and mechanical properties of the glass, and other additives (such as pigments, oxidized metals and the like), which can be added with a small amount of other elements or compounds to impart specific colors, optical properties or special functions to the glass, and after being mixed according to a certain formulation ratio, the raw materials are melted at high temperature to prepare the glass, and then subjected to the process steps such as molding, cooling and the like to obtain the final glass product. Different types of glass articles may require different ingredients of raw materials and different formulation ratios. The Chinese patent with the authorized bulletin number of CN215209107U discloses an ultra-white glass raw material batching and conveying system, which comprises a raw material storage tank, a raw material feeder, an electronic scale, a weighing instrument, a distribution transfer auger, a batching conveyor and a central control cabinet, wherein the weighing sensor is arranged on the outer side of the electronic scale, a discharging pipe is arranged at the bottom of the weighing sensor and is communicated with an inlet of the distribution transfer auger, the distribution transfer auger is used for conveying raw materials to the batching conveyor, the weighing sensor is used for acquiring weight information of the raw materials and uploading the weight information to the weighing instrument, the weighing instrument compares the weight information with set information, PID (proportion integration differentiation) adjusting signals are generated according to the difference between the weight information and the weighing information, the central control cabinet is connected with the feeder, and after a batching control mode is updated according to the weighing instrument, the original batching control mode of the PLC is transferred to the batching control through the instrument, so that time waste caused by communication delay of the system is reduced, the defects of poor batching precision are overcome, and the batching efficiency and the batching precision are greatly improved. As mentioned in the above application, the existing glass melting raw materials are transported by a belt conveyor, and the existing belt conveyor has many disadvantages, such as dust emission problem caused by large volume and incomplete sealing, large limitation of transportation angle, and high failure rate caused by complex mechanical structure. Disclosure of Invention In order to solve the problems, the invention provides a device for hermetically conveying glass melting raw materials based on industrial vision. The invention adopts the following technical scheme that the device for hermetically conveying glass melting raw materials based on industrial vision comprises a conveying pipeline, a centrifugal blower, a stirring mixer, a pulse bag filter and a control unit, wherein the conveying pipeline consists of an air suction pipe and an air output pipe; the control unit comprises a data acquisition module, a model training module and a controller; The data acquisition module is used for acquiring historical raw material conveying parameters, wherein the historical raw material conveying parameters are acquired under the condition of normal and stable conveying of raw materials, the historical raw material conveying parameters comprise raw material conveying comprehensive parameters and raw material discharging speed, and the raw material conveying comprehensive parameters comprise raw material conveying coefficients, pipeline conveying coefficients and air flow data; The model training module is used for training a machine learning model for predicting raw material blanking speed data based on historical raw material conveying parameters, collecting real-time raw material conveying comprehensive parameters and predicting raw material blanking speed data based on the trained