77 results about "Material balance" patented technology

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 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 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 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.

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 invention discloses a method for evaluating residual reserves of a low-permeability gas reservoir stratum, which comprises the following steps of: firstly, obtaining block production data and basic parameters through a target well, and respectively calculating stratum pressure by sequentially adopting four means of a material balance method, a wellhead casing pressure conversion method, a flowing material balance method and a modern yield instability analysis method; an algorithm with the minimum absolute error and the minimum relative error is used as a final pressure calculation method of the well; and correcting abnormal results by using a modern yield instability analysis method or a wellhead casing pressure conversion method. And importing the obtained formation pressure into software to draw a formation pressure distribution diagram, and generating a pressure loss rate curve diagram in combination with a pressure drop loss rate model so as to realize quantitative evaluation of the residual reserves of the formation. According to the method, a systematic and high-precision formation pressure optimization and residual reserve evaluation scheme is provided for low-permeability production gas reservoirs.

The utility model belongs to the technical field of medicine, and discloses material receiving and counting equipment which comprises a conveying device, a feeding device, a material arranging and counting device and a transferring device, a first end of the conveying device is connected with a conveying belt for conveying plastic plates, and a feeding station, a material arranging and counting station and a transferring station are sequentially arranged in the conveying direction of the conveying device. The feeding device arranged at the feeding station feeds the plastic plates, so that material receiving and arrangement work can be synchronously and continuously carried out, and the material receiving and counting efficiency is improved; by means of the whole material counting device arranged at the whole material counting station, the posture of the plastic plates conveyed to the whole material counting station is corrected, and the plastic plates are counted, so that the plastic plates are accurately counted, and the accuracy of a material balance statistical result is improved; and through a transfer device arranged at the transfer station, the plastic plates conveyed to the transfer station are transferred into the transfer frame.

The invention discloses a boiler oxygen set value online correction method and system based on material balance, and belongs to the field of combustion control of industrial boilers and power station boilers. The method comprises the following steps: acquiring a basic target excess air coefficient corresponding to a boiler load; the real-time flow of the gas fuel of each component is obtained, and the weighted average component of the mixed gas fuel is calculated on line in combination with preset typical components; based on the weighted average components of the mixed gas fuel, the dynamic target oxygen content needed for achieving the mixed gas fuel is accurately calculated through a material balance model; and finally, taking the value as a target set value for controlling the oxygen content of the boiler flue gas. According to the method, an empirical formula is abandoned, a rigorous material balance mechanism is adopted, the oxygen amount target can be accurately and dynamically corrected according to the real-time fluctuation of the fuel mixing ratio, and the economical efficiency and safety of boiler combustion are remarkably improved.

The invention belongs to the technical field of gas reservoir development, and particularly relates to a water-containing gas reservoir dynamic reserve calculation method based on material balance. Comprising the following steps: S1, constructing a model of rock compressibility coefficient changing along with water saturation and effective stress; s2, on the basis of a starting pressure gradient experiment, constructing a model that starting pressure gradients of the cores with different permeability change along with water saturation and formation pressure; s3, constructing a gas seepage motion model; s4, constructing a water-containing gas reservoir material balance model; s5, predicting the dynamic reserves of the water-containing gas reservoir based on the models constructed in the steps S1 to S4; the method realizes simple and accurate calculation of the dynamic reserves of the gas reservoir, and is of great significance to correct evaluation of the development effect of the gas reservoir, accurate prediction of the development dynamics of the gas reservoir and well-made development planning of the gas reservoir.

The present invention proposes a material equalizing device for acrylic board production, comprising a molding trough and a pouring pipe mounted above the molding trough, and also comprising a slurry distribution pipe, the top of the slurry distribution pipe being mounted on the bottom of the pouring pipe, a slurry distribution head being provided at the bottom of the slurry distribution pipe, the inner cavity of the slurry distribution head being connected to the inner cavity of the slurry distribution pipe, a plurality of slurry outlet holes being connected to the inner cavity of the slurry distribution head being provided on the bottom wall of the slurry distribution head, the central axes of the plurality of slurry outlet holes being radially distributed on the bottom wall of the slurry distribution head, by installing the slurry distribution pipe at the bottom of the pouring pipe and designing slurry outlet holes with radially distributed axial lines at the bottom of the slurry distribution pipe, the slurry can be radially sprayed onto the molding trough when passing through these slurry outlet holes, thereby expanding the slurry pouring range to achieve the purpose of improving the diffusion efficiency of the slurry on the molding trough.

The embodiment of the invention provides a hydrocracking product flow prediction method and device, a storage medium and a system, and belongs to the technical field of oil refining and chemical industry production. The prediction method comprises the following steps: constructing a hydrocracking industrial reactor model comprising a material balance model, a heat balance model mechanism model and a hydrocracking neural network model; training the hydrocracking neural network model through the training set; and predicting the hydrocracking product flow of the hydrocracking device by combining the trained hydrocracking neural network model and the hydrocracking industrial reactor model. According to the embodiment of the invention, a hydrocracking industrial reactor model comprising a mechanism model and a hydrocracking neural network model is constructed; and through combination of the trained hydrocracking neural network model and the hydrocracking industrial reactor model, predicting the hydrocracking product flow of the hydrocracking device so as to accurately predict the product flow produced in the hydrocracking process.

This invention provides a method, system, control terminal, and storage medium for efficient slag splashing control in a top-and-bottom combined blowing converter, belonging to the field of steelmaking technology. It collects current heat information and performs material balance calculations; blows the converter, and performs alloying tapping after blowing; and detects the LIBS value of slag composition content. After tapping, the slag weight is detected and calculated; after slag dumping and adjustment, slag splashing is performed according to a preset slag splashing lance position control height value; the slag splashing lance position control height value, slag splashing lance position adjustment value, and slag splashing lance position adjustment value are input into a feedforward neural network for calculation, obtaining the slag splashing lance position height control network calculation value on the current heat time axis. This invention achieves scientific control of slag retention and precise control of slag splashing lance position, improving the slag splashing protection effect and increasing converter operating rate.

The invention provides a method for determining the reasonable pressure-drive formation pressure level of an ultra-low permeability reservoir, which comprises the following steps of: 1, counting and screening oil field pressure-drive water injection rate measuring and calculating methods which mainly comprise a material balance method and an inter-well profile method; 2, according to adaptability comparison of a material balance method and an inter-well profile method, a measuring and calculating method suitable for the reasonable pressure-drive water injection rate of the ultra-low permeability reservoir is optimized; 3, calculating the reasonable pressure-driving water injection rate of the block well group according to the reservoir physical property and the injection-production well spacing parameter by utilizing an inter-well section method; and step 4, according to the calculated pressure-driven water injection rate, calculating the corresponding formation pressure recovery level by adopting a material balance method. The method for determining the pressure-driving reasonable formation pressure level of the ultra-low permeability reservoir is scientific, reliable and high in practicability, can be directly used for the pressure-driving reasonable formation pressure recovery level of the ultra-low permeability reservoir, and also has important guiding significance on implementation of adaptability evaluation of a pressure-driving water injection reservoir scheme.

The invention provides an industrial source VOCs emission component spectrum construction method based on headspace analysis and a material balance algorithm. The method comprises the following steps: (1) raw material sample collection and pretreatment; (2) analysis of VOCs components in raw materials; (3) establishment of a material balance model; and (4) establishment of an enterprise overall emission component spectrum. According to the method, through coupling of experimental determination and material balance simulation, cross-scale connection from solvent physicochemical characteristics to enterprise emission spectrums is achieved, the accuracy, representativeness and operability of the industrial VOCs emission source component spectrums are remarkably improved, and a scientific and systematic novel method is provided for industry emission reduction decision making and pollution source analysis.

A shared torque arm dexterous assembly assist device, belonging to the field of mechanical assembly technology, is a pneumatic assist device applied to the precision assembly of small products in multiple workstations. The invention includes: a support, a torque arm, grippers, a pneumatic control box, and a lifting guide assembly. Powered by compressed air, it maintains the posture of the suspended workpiece and utilizes the lever principle combined with cylinder work to achieve material balance and transfer. Simultaneously, manual pushing and pulling enables precise assembly of the workpiece. This invention solves the problem of extremely difficult manual operation of heavy parts with dimensions between one-handed grasping and two-handed lifting in confined assembly spaces during the precision assembly of small products.

The invention discloses a method and device for predicting the service life of a refractory material of a rotary kiln, a storage medium and computer equipment, and the method comprises the steps: determining a target element corresponding to the rotary kiln based on a material balance principle, the content in the refractory material of the rotary kiln and the material entering the kiln can be detected; the total mass of the target elements in the kiln entering materials of the rotary kiln in the current time period is obtained to serve as first total mass, and the total mass of the target elements in the kiln exiting materials of the rotary kiln in the current time period is obtained to serve as second total mass; determining the current time period erosion amount of the target element in the refractory material according to the first total mass and the second total mass, and determining the current time period erosion weight of the refractory material according to the current time period erosion amount; and predicting the service life of the refractory material according to the erosion weight of the current time period and the total mass of the target elements capable of being eroded in the refractory material.

The invention belongs to the technical field of oil reservoir development, particularly relates to an oil reservoir pressure coefficient prediction method based on a material balance method, and aims to solve the problems that an existing oil reservoir pressure coefficient prediction method has great influence on normal production of an oil well and is low in qualitative description and prediction precision. The method comprises the steps that pressure coefficients obtained through two times of historical pressure measurement of an oil reservoir to be subjected to pressure coefficient prediction are collected; calculating the accumulated deficit volume of the oil reservoir in two historical pressure measurement intervals; calculating the change value of the unit volume pressure coefficient of the underground deficit; calculating the deficit volume from the second pressure measurement time point to the current / oil reservoir production and injection stopping, and taking the deficit volume as a second deficit volume; and according to the second deficit volume number, the underground deficit unit volume pressure coefficient change value is combined, and the pressure coefficient during current / oil reservoir production and injection stopping is calculated. The material balance method is used for quantitatively predicting the pressure coefficient of the current oil reservoir, and the prediction precision of the pressure coefficient of the oil reservoir is greatly improved.

The application provides a kind of industrial source VOCs emission component spectrum construction method based on headspace analysis and material balance algorithm.The method comprises the following steps: (1) raw material sample collection and pretreatment (2) VOCs component analysis in raw material (3) material balance model establishment (4) enterprise overall emission component spectrum establishment.The application realizes the cross-scale connection from the physical and chemical properties of solvent to enterprise emission spectrum through the coupling of experimental determination and material balance simulation, significantly improves the accuracy, representativeness and operability of industrial VOCs emission source component spectrum, and provides a scientific, systematic new method for industry emission reduction decision and pollution source analysis.