47 results about "Production strategy" patented technology

Systems, program product, and methods for providing real-time reservoir management of one or more reservoirs across one or more fields are provided. A system can include multiple monitoring wells and at least one injection well in communication with a central facility including a reservoir management computer or server positioned to provide real-time reservoir management of the one or more reservoirs. The computer can include, stored in memory, reservoir management program code, which when executed, can cause the computer to perform the operations of calibrating an injection well model for each of one or more injection wells positioned in a reservoir responsive to real-time injection rate and wellhead pressure data associated therewith, calculating static reservoir pressure for each of the injection wells responsive to the respective calibrated injection well model and responsive to respective surface injection rate and wellhead pressure data, and generating real-time automated isobaric pressure maps.

Reducing the microvoid (MV) density in AlN ameliorates numerous problems related to cracking during crystal growth, etch pit generation during the polishing, reduction of the optical transparency in an AlN wafer, and, possibly, growth pit formation during epitaxial growth of AlN and / or AlGaN. This facilitates practical crystal production strategies and the formation of large, bulk AlN crystals with low defect densities—e.g., a dislocation density below 104 cm−2 and an inclusion density below 104 cm−3 and / or a MV density below 104 cm−3.

The invention relates to the rule engine technology applied to service rule decoupling and discloses a method for a rule engine for production dispatching. The method for the rule engine for production dispatching particularly arms at solving the problems that due to the characteristics of diversity, frequent variation, multiple combination types and the like of a service rule of a high-level planning and dispatching system, a tightly-coupled production dispatching system cannot be adapted to enterprise strategy variation and various actual workshop production strategies. The service rule is generalized and abstracted, a service rule modeling language is defined, and the service rule is divided into an attribute and condition portion and an action portion; a service rule storage mode, a loading mode and an analysis mode are defined; a service rule and function relevant method and a service rule matching algorithm are defined; a dynamic link library of a production dispatching system is generated and a peripheral interface is provided for the rule engine; a service rule processing procedure, a rule engine executing method and an interface type are defined. According to the method, the complex service rule is separated from the production dispatching function, the cost of development and maintenance of production dispatching is reduced, and the production dispatching is made to be easy to achieve.

The invention relates to a thermal power unit carbon emission quota adjustment method. On the basis of determining the unit carbon emission amount and the carbon emission intensity based on time series integration, and according to comparison judgment on the carbon emission amount and a predicted unit quota and through a sensitivity analysis means for specific parameters, a production strategy adjustment scheme is given. The fundamental landing point lies in production strategy adjustment and the final purpose is to realize the carbon emission quota to be a non-negative value. The method mainly comprises four steps: 1, calculation parameters for the unit performance carbon emission amount E and the unit carbon emission intensity q are acquired; 2, unit quota A calculation parameters are acquired and calculated; 3, according to the performance carbon emission amount E, the carbon emission intensity q, the quota A and a datum value b, quota surplus-deficit and performance are judged; and4, through acquiring the actual operation parameters of a power generation enterprise and through carrying out key parameter sensitivity analysis on influences on the carbon emission intensity, a production strategy is obtained.

The invention discloses a method and device for recommending a vehicle brand, and belongs to the field of intelligent transportation big data. The method includes selecting static information of a vehicle and historical trajectory data of the vehicle in a preset time period; making statistics of the selected static information and historical trajectory data according to different dimensions to obtain a statistical result; predicting vehicle sales and vehicle quality of each brand according to the statistical result; and recommending a vehicle brand to a vehicle purchaser according to requirements of the vehicle purchaser and the predicted vehicle sales and vehicle quality of each brand. In the method, based on the most original static information of the vehicle and trajectory data of the vehicle, the vehicle sales and vehicle quality of each brand are predicted, thereby providing a detailed reference standard for the vehicle purchaser, and solving the trouble of difficult selection ofthe vehicle purchaser; and at the same time, precise market data can also be provided for a vehicle manufacturer, so that the vehicle manufacturer timely adjusts a production strategy and improves vehicle quality.

A system, method and computer program product for generating well location plans and field development plans assessing and ranking the potential of the different plans with a small number of parameters or initial conditions, thus considerably reducing the decision time for taking a particular strategy when compared with the techniques described in the art.

The invention relates to a production line control method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the target yield of a to-be-produced product, and determining a target production line meeting the target yield; obtaining a plurality of working state time tables corresponding to the target production line and meeting the target yield; acquiring a production line control strategy configured for the product, and determining an equipment control strategy meeting the production line control strategy according to the production line controlstrategy, the plurality of working state time tables and preset working parameters of the production equipment in the target production line in a preset working state; and according to the equipment control strategy, controlling each production equipment in the target production line to perform production, thereby realizing adaptive adjustment on the production line and the production equipment onthe production line in combination with the yield and the production line control strategy, and according to different production conditions and cost control requirements, formulating different assembly lines and production strategies of production equipment on the assembly lines, so that the production cost is effectively reduced.

The invention discloses a simplified high-yield cultivation method of summer sowing short-season cotton. The simplified high-yield cultivation method comprises the steps of seed selection, agricultural implements preparation, fertilizer application, sowing, final singling in good time, disease pest and weed control, chemical regulation and tip pruning, and ripening and harvesting, the agricultural implements are maintained before sowing, plate stubble direct seeding is carried out after harvesting wheat, base fertilizer is applied along with sowing when mechanical sowing is carried out, early sowing, full stand and strong seedlings are achieved, and final singling is carried out in good time. According to the simplified high-yield cultivation method of summer sowing short-season cotton, compared with a conventional spring cotton plantation technology, planting density of the summer sowing short-season cotton is three times of that of conventional spring sowing cotton, the summer sowing short-season cotton is planted in a manner of yielding two crops a year, full mechanical operation can be achieved, labor, time and pesticides are saved, growth time is saved by one third, cost is saved by 1000-2000 yuan, willingness of farmers to plant the summer sowing short-season cotton is largely motivated, the problem of conflict between grain and cotton is also solved, planting benefits are largely increased, the national grain safety production strategy is not influenced, and production, consumption and reserve of the cotton are also ensured.

The present invention relates to computers, specifically a computer virus defense method. When the data is input into the computer system, the monitoring module starts to monitor and record the input data, and adjusts the defense strategy generated by the strategy production module in real time. Personality problems to be solved Formulate custom defense strategies or processing strategies, which can improve the chances of users to solve problems by themselves and reduce user losses.

The invention discloses a production integration decision support system and method for a traditional Chinese medicine decoction piece enterprise, and belongs to the technical field of traditional Chinese medicine decoction piece production monitoring. The production integration decision support system for the traditional Chinese medicine decoction pieces enterprise comprises a heterogeneous system of the traditional Chinese medicine decoction piece enterprise, a data integration and decision analyzer, a data integration device, a man-machine interaction device, an equipment control monitor and a lower computer. According to the production integration decision support method for the traditional Chinese medicine decoction piece enterprise, the heterogeneous information of the traditional Chinese medicine decoction piece enterprise is integrated, equipment working parameters are monitored and medicine is processed in real time to obtain a production strategy of the traditional Chinese medicine decoction pieces, the equipment working parameters can be adjusted and the medicine can be processed in time, and the standardization of the medicine processing processes is achieved. The fundation that the production sections such as primary medicine storage, medicine decoction piece production, storage and circulation are optimized is supplied to clients, and work efficiency is improved.

The invention belongs to the technical field of food and fermented product detection, and particularly relates to a method for rapidly and specifically detecting curdlan content, and an application of the method. The method for rapidly and specifically detecting the curdlan content includes the steps: preparing aniline blue solution; preparing curdlan standard alkali solution; making a curdlan standard curve; measuring the content of a curdlan sample. According to the method, the content of curdlan in various solution such as fermented solution can be rapidly detected, change of the yield of the curdlan in the fermentation process can be rapidly tracked, fermentation production strategies are correspondingly adjusted, and the production capacity of different strains in the liquid fermentation process is rapidly compared, so that curdlan strain breeding and fermentation control level is promoted.

The invention belongs to the technical field of cement industry. A heat consumption analysis method of a cement kiln system combining data driving and data mining are disclosed. The method uses data mining and machine learning technology, analyzes the different factors affecting heat consumption of kiln system in cement production from different angles and different granularity, reflects the working condition and heat consumption of thermal equipment in kiln system in real time, and establishes the corresponding kiln system heat consumption model by hour, kiln system heat consumption model byday, kiln system heat consumption model by week; the method optimizes the parameters to perform heat consumption data analysis in the production process of the cement kiln system. The invention performs analysis of the different factors affecting heat consumption of kiln system in cement production from different angles and different granularity, reflects the working condition and heat consumptionof the main thermal equipment in kiln system, and establishes the corresponding heat consumption model, so that cement enterprises can adjust the corresponding production strategy according to the actual production of cement enterprises, in order to reduce coal consumption and achieve the purpose of energy saving.

A system, method and computer program product for generating well location plans and field development plans assessing and ranking the potential of the different plans with a small number of parameters or initial conditions, thus considerably reducing the decision time for taking a particular strategy when compared with the techniques described in the art.