127 results about "Material balance" patented technology

The invention relates to the technical field of batching automatic control, and discloses a material flow and energy flow bidirectional coupling tin smelting automatic batching method and system. Carrying out automatic calculation to carry out material balance, energy balance calculation and material-energy coupling optimization configuration, and determining a decision variable value of production optimization batching, namely a batching scheme; a batching scheme and target parameters are displayed through a window and are transmitted to a DCS (Distributed Control System) through an OPC (Optical Product Control) server, and the feeding amount of a feeder and hardware instrument equipment are controlled by the DCS; the current crude tin grade, the Fe / SiO2 ratio in slag and the melt temperature are analyzed and compared with target values. The system comprises a batching calculation module, a distribution control module and a parameter correction module. Through material and energy flow analysis, precise smelting burdening, process optimization, energy conservation and emission reduction are achieved, and the production efficiency and environmental friendliness are improved.

The invention relates to the technical field of rectification, in particular to a balanced full-automatic separation control method for a rectifying tower system, the rectifying tower system comprises a rectifying tower I. The control method comprises the following steps: carrying out material balance control and gas-liquid balance control on the rectifying tower I. The gas-liquid balance control is used for controlling the reflux quantity of a material refluxed into the rectifying tower I; the material balance control comprises the following steps: detecting the actual feeding flow of the rectification tower I and the actual liquid level value of a first reflux tank corresponding to the rectification tower I, and calculating and controlling the flow of the material extracted from the tower top of the rectification tower I in real time by combining the set value of the component extracted from the tower top of the rectification tower I and the density of the component extracted from the tower top. Through the preparation method, the stability and the efficiency of a rectifying tower system are improved, and the energy consumption cost and the product volatility problem are reduced.

The invention relates to the technical field of control regulation, in particular to a sludge drying treatment process control system based on coating backmixing, which is characterized in that a corrosion-resistant micro fiber grating sensor array is deployed to capture material deformation stress data in real time, and dynamic viscosity parameters are output through a transfer function; the temperature gradient monitoring module reconstructs space thermal field distribution; and the flow synchronization module generates a dynamic material balance report. And the plastic risk analysis module fuses multi-source data. A multi-agent decision module analyzes the risk signal, and a Nash equilibrium arbiter dynamically allocates weights to generate a Pareto optimal instruction set; and the equipment collaboration module executes distributed voting to verify the feasibility of the instruction. And a pulse neural network chip of the safety interlocking module implements triple modulation scale removal control. According to the method, a closed-loop optimization chain of perception, analysis, decision and execution is constructed, self-adaptive accurate regulation and control of the backmixing proportion are realized, and the drying efficiency and the operation stability are improved.

The invention belongs to the technical field of automatic control, and particularly relates to a fault diagnosis and automatic control system of a packed bed continuous hydrogenation process device. The system comprises a model building part used for carrying out material balance modeling on a reactor to obtain a material balance model; establishing a reaction kinetics and heat balance coupling model; establishing a pressure field distribution model; establishing a catalyst inactivation model to obtain activity distribution of the catalyst; the state observation part is used for performing tensor decomposition on the fault deviation vector according to the activity degree part and the pressure distribution of the catalyst in combination with the concentration distribution and the temperature distribution of each component to obtain a fault feature tensor; and the diagnosis and automatic control part is used for calculating an abnormal state probability according to the fault feature tensor, generating a compensation controller according to the abnormal state probability, and performing automatic control by using the compensation controller. According to the invention, comprehensive monitoring and accurate control of the packed bed reactor are realized.

The invention discloses a polycrystalline silicon production industrial load participated power grid dispatching method and related products. According to the method, a target function is constructed according to the maximum adjustable capacity of a polycrystalline silicon factory within a preset time, and constraint conditions comprise a material balance constraint, an electric quantity balance constraint, a storage constraint, a yield constraint, a purification task starting constraint and a reduction task starting constraint. The constraint conditions consider the coupling relationship of each link in the polycrystalline silicon production process, so that the formed economic dispatching model can improve the dispatching capability of the polycrystalline silicon production industrial load to the power grid. Moreover, in the construction process of the economic dispatching model, materials and processes are abstracted into states and tasks respectively by utilizing a state task network method in the polycrystalline silicon production process, and a state task network block diagram is drawn to describe the coupling relationship among the processes, so that the accuracy of the model can be ensured.

The invention discloses a water-driven gas reservoir CO2 storage amount calculation method based on material balance. Firstly, single well production dynamic data are processed, invalid data are deleted, and single well production time, daily output, cumulative output and formation pressure are calculated. And then calculating a deviation factor of natural gas in a gas well production process by utilizing a cube and association state equation, drawing a relation curve graph of quasi-comparison pressure and cumulative yield, and calculating dynamic reserves of a gas reservoir by utilizing a regression equation. And calculating the dissolved gas-water ratio of CO2 and the volume coefficient of the fluid by using a cube and association state equation. Different reservoir pressures and methane recovery rates are set, deviation factors, solubility and molar volumes of natural gas and CO2 are calculated by using a cube and association state equation, and finally the storage amount of CO2 under different formation pressures is calculated. The method has the advantages of being high in calculation speed, high in precision, wide in application range and the like, and real gas reservoir CO2 injection geological storage can be better guided.

The invention discloses an LNG ship material loading and unloading balance dynamic monitoring cloud platform and method, and relates to the technical field of material monitoring. A monitoring end dynamically corrects a target flow curve according to actual operation conditions and influence factors, a sensing end collects real-time sensor data of an operation site, and based on an obstacle recognition and state change mechanism, operation abnormity is automatically sensed; and a control end continuously monitors the state change of a target flow curve and the collected parameters, automatically adjusts a material balance judgment window, calculates material balance according to an adjusted parameter system, and automatically starts a linkage mechanism if the material balance deviation exceeds a deviation threshold value. The monitoring platform realizes layered acquisition and multi-source fusion processing of information by performing function decoupling and logic linkage, forms dynamic closed-loop control on the whole operation process, realizes whole-process series analysis of multi-point data, and improves the control force on the whole material motion trail.

The invention discloses a cement kiln thermotechnical diagnosis analysis method and system based on heat balance calculation, and relates to the field of cement kiln thermotechnical diagnos.The analysis method comprises the steps that a corresponding heat balance state is calculated by obtaining cement kiln thermotechnical parameters and material component data, the material balance relation between the material input quantity and the material output quantity of the cement kiln is analyzed; evaluating the energy utilization efficiency of the cement kiln firing system by taking the ratio of the cement kiln clinker formation heat to the input total heat as a thermal efficiency index, and generating a diagnostic index by combining a thermal balance state and a material balance relationship; and comparing the diagnosis index with a historical operation optimal value to determine a deviation condition, evaluating heat loss abnormity and an operation state of the cement kiln thermotechnical engineering according to the deviation condition, constructing a causal atlas to predict a development trend of the cement kiln thermotechnical engineering, and obtaining a cement kiln combustion control result. The method can help to understand how each factor affects the overall performance of the thermal system, and facilitates the optimization and adjustment of different parameters according to the causal relationship in the later stage.

The invention relates to the technical field of steelmaking, and discloses a steelmaking cost prediction method and system.The method comprises the steps that based on material balance and heat balance, the proportions of various materials needed for smelting the target molten steel amount and the waste output amount are accurately calculated, and the steelmaking cost is dynamically calculated in combination with the real-time material unit price; and synchronously linking the steel market price and the target molten steel amount to predict the steelmaking income. According to the method, the optimal material structure meeting the requirements of the lowest production cost and the highest total gross profit at the same time is automatically screened out, and the optimal adding amount of each material is accurately calculated according to the current actual molten iron supply amount, the material inventory level and the target molten iron amount constraint. The process ensures that the resource utilization efficiency is maximized, the consumption of native resources is reduced through the scientific proportion of the waste steel and the alloy, and the energy conversion efficiency is improved by means of heat balance constraint.

The invention discloses a method for determining the nitrogen removal carbon source ratio of landfill leachate based on material balance, and relates to a method for determining the nitrogen removal carbon source ratio of the landfill leachate. The invention aims to solve the technical problems that the cost of supplementing a carbon source is high when the old landfill leachate is denitrified by adopting an MBR (Membrane Biological Reactor) mode at present, and the content of sulfate radicals and hardness can be increased when fresh landfill leachate is added as a carbon source, so that the pressure of subsequent deep treatment is increased. By analyzing the biodegradability of the supplemented carbon source and analyzing the effective carbon source to construct the material balance model, the problem of insufficient carbon sources in landfill leachate treatment is effectively solved, meanwhile, denitrification of the landfill leachate is realized to the greatest extent, the content of total ammonia nitrogen is greatly reduced, the carbon-nitrogen ratio is improved, and subsequent standard treatment is facilitated; and the optimal adding amount of the fresh landfill leachate is determined, so that the method has economical efficiency. The method provided by the invention has a good treatment effect on landfill leachate denitrification, and has a good guiding significance on the on-site landfill leachate treatment process.

The invention provides a device for cleaning accumulated materials at a feed opening of an aluminum electrolysis cell, which comprises a collecting container, an air inlet port and an air outlet port, and the air inlet port is communicated with the air outlet port; the air inlet pipe is connected to the air inlet connector and used for conveying compressed air; the air outlet pipe is connected to the air outlet connector; the feeding end of the material collecting pipe is used for being arranged at the material accumulation position in the electrolytic bath, the discharging end of the material collecting pipe communicates with the air inlet pipe, and compressed air output by the air inlet pipe provides a negative pressure environment for the material collecting pipe; the collecting bag is arranged in the collecting container and connected to the air inlet connector, and the collecting bag has air permeability and is used for intercepting accumulated materials. The accumulated materials are rapidly and cleanly collected, related process conditions are timely adjusted according to the accumulated materials, the labor intensity of workers is effectively reduced, waste of raw materials is reduced, deposition at the furnace bottom of the electrolytic bath caused by instantaneous falling of the accumulated materials is avoided, and normal production process conditions, heat balance of the electrolytic bath and material balance of the whole process are kept.

The present application provides an automatic material replenishment method for a production line based on multi-AGV collaborative handling, the method comprising obtaining the material types of multiple required materials and the total required quantity of each material in response to a production target; generating a scheduling plan for each material and scheduling work information corresponding to the scheduling plan according to the material type, the total required quantity, the obtained produced quantity and equipment working information; determining the time required for the next replenishment of each material according to the material type and the scheduling work information based on a time optimization model; determining the production progress of each material according to the material type, the total required quantity, the time required for the next replenishment and the produced quantity based on a material balance model; determining a target scheduling plan from the scheduling plans for each material in the multiple required materials and the multiple scheduling plans after the scheduling plan is updated according to the time required for the next replenishment of each material and the production progress of each material.

The present invention relates to the field of control and regulation technology, and in particular to a sludge drying process control system based on coating backmixing. The present invention deploys a corrosion-resistant micro fiber grating sensor array to capture material deformation stress data in real time, and outputs dynamic viscosity parameters through a conversion function; a temperature gradient monitoring module reconstructs the spatial thermal field distribution; and a flow synchronization module generates a dynamic material balance report. The plastic risk analysis module integrates multi-source data. The multi-agent decision module analyzes risk signals, and the Nash equilibrium arbitrator dynamically allocates weights to generate a Pareto optimal instruction set; the equipment collaboration module executes distributed voting to verify the feasibility of instructions. The pulse neural network chip of the safety interlock module implements triple modulation descaling control. The present invention constructs a closed-loop optimization chain of perception, analysis, decision-making and execution to achieve adaptive and precise control of the backmixing ratio, thereby improving drying efficiency and operational stability.

A stress sensitivity analysis method for a fractured gas reservoir includes: S1, calculating a material balance quasi-time; S2, calculating a normalized production; S3, calculating a single well controlled reserve; S4, analyzing and judging a stress sensitivity. Based on the normalized quasi-pressure and quasi-time, the gas well test analysis is carried out, and the stress sensitivity of the actual reservoir is determined by taking the original bottom hole flowing pressure of the actual reservoir as the starting point, the obtained reservoir stress sensitivity is more in line with the actual situation of the reservoir, and the obtained reservoir stress sensitivity is more accurate, which provides more valuable values for reservoir protection, oilfield development, and development planning.

The invention discloses a cement production industrial load participated power grid dispatching method and related products. According to the method, an objective function is constructed by minimizing the power purchase cost of a cement plant within preset time, constraint conditions comprise a material balance constraint, an electric quantity balance constraint, a storage constraint, a yield constraint and a rotary kiln continuous work constraint, and the constraint conditions consider the coupling relation of all links in the cement production process. Therefore, the formed economic dispatching model can improve the dispatching capability of the cement production industrial load on the power grid. Moreover, in the construction process of the economic dispatching model, materials and processes are abstracted into states and tasks respectively by utilizing a state task network method aiming at the cement production process, and a state task network block diagram is drawn to describe the coupling relationship among the processes, so that the accuracy of the model can be ensured.

The invention provides a production line automatic material supplementing method based on multi-AGV cooperative carrying. The method comprises the steps that the material types of multiple needed materials generated in response to a production target and the total demand number of each material in the multiple needed materials are obtained; generating a scheduling scheme of each material and scheduling work information corresponding to the scheduling scheme according to the material types, the total demand quantity, the obtained produced quantity and the equipment work information; based on a time optimization model, according to the material types and the scheduling work information, determining the time required for next material supplementation of each material; on the basis of a material balance model, the production progress of each material is determined according to the material type, the total required quantity, the time required for next material supplementing and the produced quantity; and determining a target scheduling scheme from the scheduling scheme of each material in the plurality of required materials and the plurality of scheduling schemes after the scheduling scheme is updated according to the time required for next material supplement of each material and the production progress of each material.

The present application relates to the field of liquid level control technology, and in particular to a liquid level control system and method. The present application analyzes the received liquid level data based on a predictive iterative learning control model to obtain a liquid level control result, generates a liquid level control instruction based on the liquid level control result, and sends the liquid level control instruction to the actuator so that the actuator controls the liquid level of the liquid in the water tank according to the received liquid level control instruction, wherein the predictive iterative learning control model is a predictive model established along the iteration axis based on a linear data model, and the linear data model is a nonlinear mechanism model established by analyzing the dynamic material balance relationship of the water tank. In this way, the present application is aimed at a networked liquid level control system with a repeated operation feature, and by combining predictive control and iterative learning control methods, it reduces the adverse effects of the data attenuation problem existing in the transmission of the networked system on the controller performance, and improves the accuracy of the liquid level control.

The present invention belongs to the technical field of oil reservoir development, and relates to a method for calculating the half-length of effective cracks in multi-stage fracturing of horizontal wells in shale reservoirs. The method comprises: step 1, collecting daily data of the mine; step 2, calculating the bottom hole flowing pressure of the horizontal well; step 3, calculating the material balance time; step 4, drawing a relationship curve between normalized pressure and material balance time; step 5, calculating the comprehensive crack half-length of the multi-stage fracturing cracks in the horizontal well; step 6, calculating the production capacity contribution rate of different fracturing stages by using tracer monitoring; step 7, calculating the half-length of effective cracks in the multi-stage fracturing of the horizontal well. The method of the present invention has clear technical ideas, is closely combined with production practice, has clear and reasonable operating steps, and the obtained half-length of the cracks in the multi-stage fracturing of the horizontal well has high accuracy and precision, realizes the quantitative evaluation of the half-length of the cracks in the multi-stage fracturing of the horizontal well, and makes up for the shortcomings of the existing technology.

The present application relates to the technical field of generating resource scheduling, and particularly relates to a raw material resource scheduling method for plywood production based on big data, comprising the following steps: S1, obtaining raw material characteristics and order requirements, and generating dynamic scheduling instructions; S2, constructing a probabilistic transition network model; S3, generating abnormal transmission events caused by non-standard logistics paths; S4, dynamically reconstructing the topological structure of the probabilistic transition network model, and recalculating the raw material source tracing results of finished products; statistical tracing under dynamic scheduling is realized by constructing a probabilistic transition network model, and non-standard logistics in actual production is intelligently detected and fused based on the principle of material balance, so that the problem of broken tracing chain caused by scattered and reorganized scheduling in plywood production, and the problem of invalid mathematical model caused by abnormal paths such as manual carrying are effectively solved without adding new hardware, and production efficiency, tracing accuracy and implementation cost are considered.

The application relates to the technical field of food processing, in particular to a sterilization machine which comprises a material balance cylinder, a preheating heat exchanger connected with a discharge port of the material balance cylinder, a sterilization assembly connected with a discharge port of the preheating heat exchanger, and a cooling assembly connected with the sterilization assembly; the sterilization assembly comprises a plurality of sterilization heat exchangers arranged in series, a hot water tank connected with the sterilization heat exchangers in sequence, and a heating heat exchanger for heating hot water sent out by the hot water tank; a steam outlet of the heating heat exchanger is connected with a condensed water inlet of the preheating heat exchanger; the hot water tank, the sterilization heat exchanger and the heating heat exchanger are connected through pipelines to form a hot water circulation loop; the steam for heating the hot water is fully utilized to preheat the material sent out by the material balance cylinder, so that the utilization rate of the steam is improved.

The utility model discloses a tank body conveying mechanism which comprises a plurality of conveying structures used for enabling a tank body to move at a set speed, a feeding structure is arranged on the inlet side of one or more conveying structures, a plurality of positioning structures are correspondingly arranged on the conveying structures, and the conveying structures are divided by the positioning structures to form a plurality of retention intervals. And a plurality of tank bodies are closely arranged in the retention interval, and the feeding structure continuously acts to continuously feed the tank bodies of the previous conveying structure into the inlet side of the next conveying structure and drives the tank bodies in the next conveying structure to move in the process. The feeding structure can be arranged on the outer side of the conveying structure, so that transmission of the conveying structure is not prone to being interfered, on the other hand, the feeding structure can control the feeding frequency to a certain degree, and therefore material balance between different conveying structures is coordinated.

The application provides a kind of tool for thin-walled component defect solid-phase repair and repair method, it is related to material processing and manufacturing technical field.The repair tool includes: disc base, it is equipped with center mounting hole, can be installed with transmission key groove, disc base outer periphery is equipped with repair area, repair area surface is provided with interval arrangement groove, repair area is used to rotate pre-press and cooperate repair material to repair;The two sides of repair area are equipped with finishing area, and the outer periphery of finishing area is provided with positive rotation finishing blade and reverse rotation finishing blade arranged uniformly in sequence.The repair method includes: milling to thin-walled component defect, clamping with repair material, solid-phase repair by reciprocating friction roller, finishing to repair area, finally finishing to remove trace material balance, obtain high-quality thin-walled component.The repair cost of the application is low, and the material waste is less, the performance and service life of thin-walled component are improved by simultaneous repair and finishing operation of repair tool.

The invention relates to the technical field of intelligent production data monitoring, in particular to a sulfuric acid material balancing system and method. The system comprises a data acquisition module used for acquiring data in a sulfuric acid production process and verifying the data; the balance calculation module is used for triggering material balance calculation in time according to the operation instruction and the updating condition of the production data; the model building module is used for building a sulfuric acid production material balance data model by adopting a mathematical modeling method based on the results of the process flow analysis and the parameter determination; the analysis mining module is used for carrying out deep analysis on the production data by applying a data mining algorithm, and presenting a data analysis and mining result in a visual mode; and the data management module is used for storing various data in the sulfuric acid production process, quickly querying required data according to conditions, and carrying out maintenance and safety management on a database. The technical scheme can improve the sulfuric acid production efficiency and ensure the product quality.

The application discloses a memory, a material conveying control method, device and equipment for a refining enterprise, and the method comprises the following steps: when isolated network operation occurs, the isolated network duration of the isolated network operation is determined; the material supply amount of a feeding tank of a process device is calculated according to the material inventory of the feeding tank and the material receiving amount of the feeding tank within the isolated network duration; the adaptive power output of a feeder pump when the state of ensuring material balance of the process device reaches the isolated network duration is determined according to the material demand amount of the process device and the material supply amount of the feeding tank; the output power of the feeder pump of each process device is determined according to the adaptive power output; and the material balance of the process device is controlled through the adjustment of the discharge amount of the corresponding feeding tank of the process device. The application reduces the power grid fluctuation of the internal power system of the refining enterprise during the isolated network operation, and in turn effectively reduces the risk of power grid collapse of the internal power system of the refining enterprise.

The present invention discloses a self - moving material balance filtering device, an extraction kettle including the device and a using method. The device includes a circular ring mounting seat and a pressing ring arranged below the circular ring mounting seat. A filtering member is arranged between the circular ring mounting seat and the pressing ring, and a plurality of ball mounting seats are evenly arranged along the circumference on its upper surface. An elastic ball assembly is clamped in the ball mounting seat, and a large ball is arranged in the elastic ball assembly. The filtering device moves up and down driven by the rolling of the large ball, and the filtering member is a filter cloth. The self - moving material balance filtering device provided by the present invention can automatically change with the change of the height of the material in the material basket. It can prevent the free floating of the powdery raw material during the extraction process, avoid the generation of a large number of channel flows caused by the floating and dispersion of the material, improve the extraction effect and product recovery rate, shorten the extraction time and reduce the production cost; the filter cloth can conduct primary filtration on the powdery raw material in the extraction medium, greatly reducing the entry of raw material fine powder into the filter screen or filter plate at the top of the material basket.

This invention relates to the field of material conveying technology, specifically disclosing an integrated bagged material conveying system and method, including a transport vehicle and a conveying mechanism installed on the transport vehicle; a material balancing mechanism is provided at the conveying end of the conveying mechanism; the material balancing mechanism includes: a vertical connecting plate installed at the conveying end of the conveying mechanism; a horizontal positioning plate slidably connected to the vertical connecting plate; and an adjustable receiving assembly, which includes a fixed support plate and a telescopic support plate, the telescopic support plate being slidably disposed on the side away from the conveying mechanism; two sets of adjustable receiving assemblies are provided on the lower end face of the horizontal positioning plate; the distance between the two sets of adjustable receiving assemblies is adjustable; the posture of the planting bags is adjusted by the extension and retraction of the telescopic support plate. This invention can adjust the falling posture of the planting bags to ensure that each planting bag falls accurately with the same posture, thereby ensuring that a row of planting bags is in a straight line.

This invention relates to the field of underground engineering construction monitoring technology, and provides a method and system for in-situ volume inversion of shield tunnel excavated soil based on multiphase material balance. The method includes: acquiring three-dimensional point cloud data of the excavated soil surface and the conveyor belt speed; for each moment, projecting the three-dimensional point cloud data onto a direction perpendicular to the conveyor belt reference plane, and calculating the effective area of ​​the cross-section using the polygon area formula; within the time period of one tunneling ring, calculating the integral of the product of the effective area of ​​the cross-section and the conveyor belt speed at each moment to obtain the cumulative loose volume; and using a multiphase material balance correction model, inverting the cumulative loose volume into the in-situ soil volume. This eliminates the influence of soil conditioner and accurately inverts the true in-situ soil volume.

The application discloses a kind of based on blockchain's strip material life cycle traceability and management method and system, for the technical field of ship material management.The present application generates unique digital identity when raw material large plate enters, packs and chains basic attribute, quality inspection hash, visual evidence, location information and operator digital signature;Automatic establish the parent-child relationship chain of raw material-strip-spare material when cutting processing;Material circulation and real-time acquisition multi-dimensional evidence and solidification are stored in the process of processing;Through smart contract, realize automatic check and abnormal alarm according to material balance relationship;Digitally identify and store management to available spare material, and complete whole life cycle verification through outsourcing return factory closed loop.The present application can realize strip material whole process tamper-proof traceability, data credible cross verification, loss accurate control and spare material efficient reuse, greatly improve material management efficiency and material utilization.

The invention discloses a fracturing effect evaluation method based on flowback water production data, and the method comprises the steps: taking the maximum cumulative water yield obtained through calculation of a harmonic decline model as an initial effective fracture volume for calculation in a calculation process, and taking the maximum cumulative water yield as an initial value of an iteration process; calculating to obtain a crack compression coefficient, and obtaining an initial effective crack effective volume coefficient according to the material balance curve graph. In the boundary control stage, the yield normalized pressure and material balance time double logarithmic curve (RNP-tm) is represented as a straight line with the slope being 1; in a rectangular coordinate system, the linear relation between the yield normalization pressure and the material balance time is found, the intercept of a straight line is solved, and therefore the convergent fracture compression coefficient and the effective fracture volume are obtained through iteration. The method is of great significance in evaluating the fracturing effect in the fracturing flowback process and guiding the design of a field flowback scheme.

The utility model relates to the technical field of screw extruder, concretely to a screw extruder for fiber making, including base, the upper surface front side of base is installed with screw extruder body, be equipped with feed tank on the screw extruder body. The utility model opens the cover and pours the material into the hopper when working, covers the cover after finishing, the material falls into the bunker and enters the feed pipe, rotates through motor drive pivot and auger, the material is sent into the feed tank with the help of the conveying force of auger, can complete the closed automation of screw extruder feeding, avoid falling dust, prevent dust mixing and influence fiber quality, and the material balance in the bunker is monitored with the help of material level meter, when the balance is too low, the light and sound alarm signal is sent through the flashing light and buzzer, reminding the staff to fill the material in time, without staff observing the material situation in the bunker all the time, reduce staff burden, bring the convenience for the use of screw extruder.