53 results about "Material balance" patented technology

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 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 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 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 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 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.

This invention belongs to the field of gas reservoir development technology, specifically relating to a method for calculating the dynamic reserves of water-bearing gas reservoirs based on material balance. It includes the following steps: S1, constructing a model of the rock compressibility coefficient varying with water saturation and effective stress; S2, based on a starting pressure gradient experiment, constructing a model of the starting pressure gradient of cores with different permeability varying with water saturation and formation pressure; S3, constructing a gas seepage and movement model; S4, constructing a material balance model for the water-bearing gas reservoir; S5, based on the models constructed in steps S1-S4, predicting the dynamic reserves of the water-bearing gas reservoir. This invention achieves a simple and accurate calculation of the dynamic reserves of gas reservoirs, which is of great significance for correctly evaluating the development effect of gas reservoirs, accurately predicting the dynamics of gas reservoir development, and making sound gas reservoir development plans.

The present invention relates to a solvent recycling system and comprises a solvent vessel outflow line configured to transport a solvent stream outflowing from a solvent vessel and connecting the solvent vessel and a buffer vessel, a buffer vessel outflow line configured to transport a feed stream outflowing from the buffer vessel, one or more feed supply lines connected with the solvent vessel outflow line, a densimeter arranged at a downstream end of the point of connection of the one or more feed supply lines, and a calculation unit receiving information on measured values of the densimeter and a material flow meter and configured to predict a composition of the feed stream transported via the buffer vessel outflow line using a state equation and a material balance, wherein the one or more feed supply lines and the buffer vessel outflow line each comprise the material flow meter.

The invention provides a material movement balance processing method and device, electronic equipment and a storage medium, node model information of a node model is obtained, the node model is composed of at least two processing nodes, and the processing nodes correspond to physical nodes in a material production and supply process; the node model information represents predicted material variation corresponding to the physical nodes in the process that the material flows between the physical nodes corresponding to the processing node; according to the node model information and a preset time period, node constraint information is obtained, and the node constraint information represents the target loss amount of the material corresponding to the node model in the process that the material flows between the physical nodes corresponding to the processing node; according to the node constraint information, a target balance arbitration value is obtained, the target balance arbitration value is used for judging whether the loss amount of the material between the physical nodes is in a balance state or not in the process that the material flows between the physical nodes corresponding to the processing node, and the problem that the accuracy of a material balance result is low is solved.

The present application relates to air separation device system control technical field, specifically disclose a kind of automatic constant load control method of air separation device, material balance module system air transparent guide vane tracks raw material air flow of purification system, editing module system controls air transparent guide vane constant purification system processing air volume;Editing module system controls oxygen production regulating valve to track actual oxygen flow;3) editing module system controls nitrogen production regulating valve to track the oxygen, nitrogen multiple of actual oxygen flow;Editing module system controls dirty nitrogen production regulating valve to track actual dirty nitrogen flow;Expansion air volume tracks oxygen production or processing air volume editing module control expander nozzle opening and bypass valve, adjust expansion air into upper column processing air volume and bypass air volume;Process argon flow regulating valve tracks process argon flow editing module system control;The present application does not independently unit configuration automatic load variation system with additional investment, realizes processing air volume and output balance prediction, material balance.

The application discloses a kind of data physical double drive's crack propagation prediction method, belong to petroleum engineering field, including the following steps: step 1, construct real observation dataset and sampling dataset;Step 2, construct the hybrid architecture of fusion Transformer encoder and graph attention network;Step 3, construct three independent and parallel decoders to map shared features into the geometric size and mechanical parameters of crack;Step 4, based on linear elastic fracture mechanics and material balance principle to establish physical loss function, and combined with data loss function to construct hybrid loss function for model training;Step 5, use the trained model to predict the geometric size and mechanical parameters of the fracture.The application embeds physical priori knowledge into the multi-task deep learning framework, and embeds the physical loss into the loss function, which significantly improves the accuracy and interpretability of the model prediction.

The present application relates to the technical field of SCR denitration, and discloses a method, system, equipment and medium for material balance design of a coal-fired power plant mixed-burning sludge SCR denitration system; wherein, the method assumes the oxygen content and dry flue gas volume in the imported flue gas as the preset oxygen content and dry flue gas volume in the exported flue gas, and converts the pollutant removal efficiency into the actual volume of the pollutant under standard state; according to the chemical reaction in the SCR denitration process, the change amount of the pollutant and ammonia gas mixture and other materials is calculated; the change of the composition of the imported and exported flue gas of the system is summarized, and the parameters of each component in the exported flue gas of the system are obtained therefrom, which are compared with the preset oxygen content and dry flue gas volume in the exported flue gas; when the comparison error obtained satisfies the preset requirement, the material calculation result is summarized. The present application solves the phenomenon that the concentration of the imported and exported materials and the change of the flue gas composition are lacking in the measurement of the data of the SCR denitration system, and provides guidance for the on-site optimized operation and performance evaluation.

The application discloses a kind of cigarette auxiliary material scattered tray back warehouse method and system, belong to cigarette factory auxiliary material logistics technical field, method includes cigarette auxiliary material from cigarette making unit back auxiliary material balance library step, and cigarette auxiliary material from auxiliary material balance library back auxiliary material first-grade library step.Fork truck AGV automatically carries auxiliary material scattered tray from cigarette making unit to auxiliary material balance library upper shelf, then is carried back auxiliary material first-grade library by the transport line of auxiliary material transport corridor, is stored by latent AGV, realizes that auxiliary material scattered tray is in two-grade auxiliary material library continuous back warehouse, relative to traditional manual handling and management mode, greatly reduce manpower investment, improve the speed of material flow.

The application provides a casing deformation prediction method and system for volume fracturing process based on energy theory. According to the energy conservation and material balance principle, the total energy injected into the stratum in the volume fracturing process is considered to be converted into pressure energy of fluid in the fracture, kinetic energy of fluid in the fracture, elastic deformation energy and surface energy of rock, friction energy consumed by fluid flow in the fracture, pressure energy consumed by fluid filtration in the fracture, deformation energy of cement sheath and casing deformation energy, and then the extreme work principle is used to solve key parameters such as casing deformation load and displacement, so that the prediction accuracy of the casing deformation degree is improved, and basic basis is provided for the optimization of fracturing design, casing damage prevention and treatment.

The embodiment of the invention provides an industrial parameter prediction method and device, computer equipment and a readable storage medium. Comprising the following steps: acquiring reactor basic data at multiple time points; for each time point, carrying out material balance calculation according to the reactor basic data to obtain reaction kinetic characteristics, and constructing a first characteristic sequence based on a plurality of reaction kinetic characteristics corresponding to the plurality of time points in sequence; for each time point, calculating the accumulated volume of the solution according to the basic data of the reactor to obtain time accumulation effect characteristics, and sequentially constructing a second characteristic sequence based on a plurality of time accumulation effect characteristics corresponding to the plurality of time points; acquiring original sensor data, and inputting a mechanism fusion vector obtained by fusing the original sensor data, the first feature sequence and the second feature sequence into a target model to obtain an industrial parameter prediction result corresponding to the current time point; therefore, the accuracy of industrial parameter prediction can be improved.

The invention discloses a coal bed gas fracturing effect comprehensive evaluation method which comprises the following steps: (1) collecting basic parameters, establishing a numerical simulation model, and comparing and fitting a calculation result of the numerical simulation model with on-site fracturing construction data to obtain coal bed gas fracturing fracture network parameters; (2) monitoring flow-back stage data, obtaining liquid production capacity regularized pressure and material balance time, drawing a characteristic curve, obtaining intermediate parameters, and calculating effective volume and fracture forming efficiency through the intermediate parameters; and (3) classifying the fractured wells according to the fracture form coefficient, the fracture forming efficiency and the post-fracturing yield data, and performing field application according to the classification result of the fractured wells. According to the method, a coal bed gas fracturing effect full-chain evaluation system from construction formation to flowback response to production expression is constructed, the one-sidedness and hysteresis of an existing single evaluation method are overcome, and a brand new technical path is provided for achieving accurate and prospective evaluation of the fracturing effect.