41results about How to "In line with the actual production situation" patented technology

The invention provides a hybrid genetic algorithm for solving a multi-objective flexible job-shop scheduling problem. The algorithm takes three objectives of the completion time, the production cost and the equipment utilization rate in flexible job-shop scheduling into consideration, and aims at the circumstances that algorithms at present are difficult in decoding and long in computation time because of possession of a complicated coding method and that the genetic algorithm is faced with problems of global near optimum and insufficient search capability in local search. In allusion to the problems, the invention provides a new matrix chromosome coding method which almost does not need to perform decoding. In addition, the algorithm provided by the invention combines the global search capability and local search of the genetic algorithm, the search capability of the algorithm is enhanced, and a feasible solution is found more easily. The hybrid algorithm is high in practicability, and can be well applied to flexible job-shop scheduling.

Embodiments of the application disclose a method and device for determining a fracture. The method includes the steps of determining a fracture density of a grid at a drilling location in a target work area based on an inclination of a fracture in attribute information; determining the sedimentary facies data, facies data, rock fracture index and fracture development strength of the grid in the target work area; based on the sedimentary facies data, facies data, rock fracture index and fracture development strength of the grid and the fracture density of the grid at the drilling location, determining the fracture density of the grid at a non-drilling location in the target work area, and taking the fracture density of the grid at the drilling location and the fracture density of the grid at the non-drilling location as a fracture density body of the target work area; and based on production dynamics data of the target work area and the attribute information of the fracture, correctingthe fracture density body to obtain a corrected fracture density body. The technical scheme provided by the embodiments of the application can improve the precision of the determined fracture.

The invention provides a valve rod and valve body assembling machine, and belongs to the technical field of machines. The problem that an existing valve rod and valve body assembling machine is low inassembling success rate is solved. The valve rod and valve body assembling machine comprises a workbench, a die base is provided with a notch for a valve rod hole of a valve body to be exposed, a positioning plate is located at the opening part position of an installing cavity for jacking contact of a valve port of the valve body, and the positioning plate is provided with an arranging port. Theworkbench is provided with a supporting structure and a positioning structure, and the die base and/or the positioning plate are/is driven by a displacement mechanism to move. A valve rod arranging device comprises a drive structure, a rotation shaft and a rotation base, the rotation shaft is located at the front end of the drive structure and driven by a rotation mechanism to rotate around the axis of the rotation shaft, the rotation base is fixedly connected to the rotation shaft and fixedly connected with a gas claw, and the distance is formed between the clamping end of the gas claw and the axis of the rotation shaft. After the gas claw clamps the valve rod, the circle center line of the bottom face of the valve rod is basically located at the extension line of the axis of the rotationshaft. The valve rod and valve body assembling machine has the advantages that the assembling precision is high, and the success rate is high.

The invention discloses a FeO content prediction method based on a sintering machine tail section video, and relates to the field of steel production. The method mainly comprises the following steps:determining a falling moment, removing an abnormal audio sequence, dividing an image sequence and preprocessing, carrying out audio preprocessing, extracting image features, extracting audio features,constructing a video quality database, and constructing, training and testing a quality prediction model. Compared with the prior art, the method has the advantages that the severe conditions of thesintering machine tail are considered, the characteristics of the video information are represented more comprehensively from the aspects of images and audios, and quantitative prediction of the FeO content can be achieved.

The invention, which belongs to the field of production scheduling and operations research, provides a production scheduling method based on a distributed set robust parallel machine scheduling model.According to the method, a distributed set robust optimization model DR-PMSP-RA having a risk aversion characteristic is constructed; on the basis of an objective function and a constraint conditionof the model, an expression of an initial model DR-PMSP-RA1 is obtained; the objective function of the DR-PMSP-RA model is transformed to obtain an estimation upper bound of the objective function, the initial model is transformed into an estimation model DR-PMSP-RA2, wherein the estimation model can be decomposed into two independent sub models, the two sub models are solved and the optimal sub model solution is an optimal solution of the model, and thus an optimal production scheduling plan is obtained. The model established based on the method conforms to the actual production situation well; and with information in a production environment, the decision-making risk is reduced under the circumstance that the system performance is guaranteed.

Process industrial equipment serves as an analysis and diagnosis object, and an energy utilization state of the process industrial equipment is described through production parameters, energy efficiency parameters and operating parameters of the equipment. The method comprises the following steps of: in the process of operating the equipment, acquiring production process data of the equipment and determining the optimal energy utilization state; establishing an energy utilization state diagnosis tree according to expert knowledge, and comparing a real-time energy efficiency parameter with the optimal energy efficiency parameter; triggering diagnosis if a real-time energy utilization state of the equipment is lower than the optimal energy utilization state, reasoning according to the energy utilization state diagnosis tree, and giving reasons and recommended measures after the reasoning is finished. By the method, the energy utilization state of the equipment using fuel, power, heat and other energy in various process industries can be monitored and diagnosed, and the method has universality.

The invention discloses a flexible job shop scheduling method considering preparation time and workpiece batching, which constructs a flexible job shop scheduling model considering the preparation time and the workpiece batch by combining the production requirements of an actual job shop and aiming at the influence of the production preparation time and the workpiece batch on flexible job shop scheduling. An improved genetic algorithm is adopted, based on a double-layer coding mode, the minimum maximum completion time is taken as an optimization target, and the optimization of a scheduling target is realized by reasonably dividing workpiece batches. Meanwhile, aiming at the characteristic of insufficient flexibility of an equivalent batching method during batch machining of the workpieces,the flexible batching method is adopted to dynamically divide the workpieces in batches. According to the method, the preparation time required by the workpieces in the actual production process of the workshop is combined with the batch machining of the workpieces, the actual production condition of the workshop is fully considered, the actual requirements of workshop production are met, and thescheduling problem of the actual flexible operation workshop is solved.

An automobile engine flexible production line batching and scheduling method takes minimization of tardiness punishment as an optimization target, and an original optimization problem is solved through two stages, namely, the total number of sub-batches of each workpiece and the machining sequence of all sub-batches of different workpieces are solved through a heuristic algorithm of genetic taboo mixing, and then under the machining sequence, the number of sub-batches of all the workpieces is calculated through the heuristic algorithm of genetic taboo mixing. A mixed integer programming model is established by adopting a sample mean value approximation method according to the characteristics of random arrival time, that is, a plurality of scenes are generated according to the random characteristics of workpiece incoming time, the target is to minimize the overdue penalty mean value of all the scenes, and batch optimization is realized by solving the batch size of each sub-batch. According to the method, the genetic algorithm and the tabu search algorithm are combined, the minimum tardiness punishment is taken as the target, the total machining amount of each type of workpieces is processed in batches for a flexible flow production line which arrives at random of the workpieces to be machined and has machine die change time, a plurality of sub-batches are formed, and the machining sequence of the sub-batches is optimized.

The invention provides a same-type parallel machine production scheduling method considering moment information indeterminacy, and belongs to the field of production scheduling and operational research. The method comprises the steps of firstly building a distribution set robust optimization model DR-PMSP-MU considering the moment information indeterminacy, and obtaining an expression of an initial model DR-PMSP-MU1 comprising an inner layer problem and an outer layer problem; converting a decision variable of the model DR-PMSP-MU, solving the inner layer problem, and equivalently converting the model DR-PMSP-MU1 into a solvable model DR-PMSP-MU2; and taking an optimal solution of the model DR-PMSP-MU2 as an optimal solution of the whole model, wherein the optimal solution corresponds to multiple optimal production scheduling schemes, and a decider can perform selection as needed. The built model better meets an actual production condition; and by utilizing more information in a production environment, the decision-making risk can be lowered under the condition of ensuring system performance.

The invention provides a method for identifying the type of drilling fluid and a method for identifying the type of drilling and completion waste. The method for identifying the type of the drilling fluid comprises a step of measuring liquid phase fraction and asphalt content of drilling fluid to be identified, wherein the drilling fluid to be identified belongs to polymer drilling fluid or sulfonated drilling fluid, a step of obtaining drilling fluid filtrate of the drilling fluid to be identified and measuring the sulfo group content of the drilling fluid filtrate, a step of determining thesulfo group content of the drilling fluid to be identified according to the liquid phase fraction of the drilling fluid to be identified and the sulfo group content of the drilling fluid filtrate, anda step of determining the type of the drilling fluid to be identified according to the sulfo group content and the asphalt content of the drilling fluid to be identified. According to the identifyingmethods provided by the invention, the type of the drilling fluid and the type of the drilling and completion waste can be accurately judged, and so the drilling and completion waste can be treated in a targeted manner. Moreover, the whole identification process can be completed through an indoor experiment, the influence of human factors is small, the reliability is high, and the repeatability is good.

The invention relates to an abnormal section management method in chemical industry production based on data driving. The method comprises the following steps of 1, collecting each bit number by usinga sensor; 2, analyzing periodical correlation on the bit number, to acquire correlation matrixes at different moments; 3, at the certain moment, giving an alarm by the target bit number, and findingthe correlation matrix closest to the alarm moment through time difference; 4, computing the similarity between the correlation matrixes and historical correlation matrixes, to acquire the historicalcorrelation matrix set with the highest similarity; 5, calling a historical operation corresponding to the most similar historical correlation matrix, and sending the same to an operation staff; and 6, after the alarm is solved, recording to the correlation matrixes and the operation records of the operation staff to form into knowledge sections, and putting the knowledge sections into a historical database. According to the method, the defect of traditional single alarm information is avoided, the correlation parameter of the alarm parameter is found via computation of the correlation matrix,and the operation staff can acquire more decision making bases and operation bases according to the correlation parameter.

The invention relates to the technical field of recycled aggregate recycling, in particular to a carbon sequestration reinforced recycled aggregate preparation device and method based on returned material crushing, and the device comprises a screw conveyor, a material throwing rotor, a screening rotary drum, a returned material rotary drum and a carbon dioxide input pipe; the spiral conveyor comprises a raw material inlet, a fine aggregate inlet and a discharge hole; the screening rotary drum comprises an inner drum body and an outer drum body, and the throwing rotor is used for throwing aggregates into the inner drum body in an accelerated manner, so that the aggregates collide with one another and are crushed; the spiral conveyor is sleeved with the material returning rotary drum, the fine aggregate inlet is located in the material returning rotary drum, and material returning blades of the material returning rotary drum drive fine aggregate to be fed into the spiral conveyor from the fine aggregate inlet; and the inlet end of the carbon dioxide input pipe is communicated into the screening rotary drum. The aggregates collide with one another to be crushed and shaped and fully react with carbon dioxide in the process, so that carbon dioxide is absorbed and solidified, carbonization of the recycled aggregates is enhanced, and the high-quality recycled aggregates are prepared.

The invention relates to a preparation process of a facial cleanser. According to the process, a weighing and dissolving is unit for weighing a surfactant and dissolving the surfactant; a weighing andadding unit is used for weighing attapulgite and a preservative and adding the attapulgite and the preservative; and a surfactant facial cleanser preparation unit is used for preparing a surfactant facial cleanser, weighing the surfactant, adding the surfactant into the process water, stirring to dissolve the surfactant, weighing a thickening agent, adding a proper amount of process water, heating to dissolve the thickening agent, adding the dissolved thickening agent into the dissolved surfactant, carrying out stirring and cooling, adding the attapulgite and the preservative, and uniformly stirring again to obtain the surfactant facial cleanser. No matter whether the surfactant facial cleanser or the soap-based facial cleanser is used, the raw materials contain the attapulgite component,and the structure of attapulgite is specific, so that the prepared facial cleanser is moderate in bubble concentration, strong in cleaning power and softer in contact with skin, and meets the basic requirements of users on skin cleaning and comfort.