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 an IMS policy decision function entity, which comprises a Diameter adaptor, an entitlement management module, a COPS adaptor, a bearer management module, an LDAP adaptor, a resource monitoring module and a policy decision module; the entitlement management module receives and processes messages from the Diameter adaptor and triggers the policy decision module to perform session entitlement decision; the policy decision module obtains an admission policy through the resource monitoring module and then obtains policy rules and production policy through the LDAP adaptor, and SBLP information is updated by the entitlement management module; the bearer management module receives and processes messages from the COPS adaptor and triggers the policy decision module to perform bearer entitlement; and the policy decision module sends the production bearer policy to GGSN. The invention also discloses a realization method for the policy-based bearer resource control through the policy decision function entity. The QoS resource entitlement management and the IMS bearer resource management are accomplished through the policy decision function entity of the invention, and thereby a new efficient solution is provided for the end-to-end QoS deployment.

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.

The invention discloses an enterprise operation control method in an enterprise supply chain management system. The method comprises the following steps of: carrying out mathematic modeling on enterprise resources; creating a decision variable, creating a constrained capacity target function and an unconstrained capacity target function by taking a main plan as a standard according to the created decision variable, and constructing corresponding constraint conditions according to different capacity target functions; and adjusting solution parameters to obtain a resource distribution manner or demand resources satisfying an enterprise operation plane. According to the method, the enterprise resources (such as machines, personnel, tools, materials and the like) can be properly and effectively planned to satisfy the customer demands, production strategies such as maximum output quantity, highest bottleneck resource using rate, shortest lead time and the like are achieved, and managers can be assisted to find feasible enterprise information.

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 is applicable to the technical field of machine tools, and provides a method and device for controlling a machine tool. The method comprises the following steps: acquiring a state parameter of the machine tool and an attribute of a processed product; providing a machine tool scheduling strategy determining unit to generate a machine tool scheduling strategy according to the attributeof the processed product; determining a task to be executed corresponding to the state parameter according to the state parameter and the machine tool scheduling strategy; and determining a control instruction of the machine tool according to the task to be executed, wherein the control instruction is used to control the machine tool to complete the task to be executed. The embodiment of the invention realizes the purpose that the machine tool performs different task operations with the change of the task content, and solves the problems that existing machine tool control technology cannot adjust its own production strategy along with the change of the production task, the production mode is fixed and the adaptability is poor.

The invention discloses a fine-grained access control method and system based on strategy grammar. The invention discloses an access control method based on a wave cloud account strategy, belongs to the field of strategy access control, and aims to solve the technical problem of how to effectively protect system resources from being stolen and damaged and realize access control service with finerstrength, and the method comprises the following steps: S1, production strategy: presetting the wave cloud account strategy for access control of a public scene; the user creates a required strategy in a user-defined manner according to requirements; S2, authorization: binding the created strategy with an entity, wherein the entity is a user or a user group; and S3, authentication: after receivinga user request, assembling authentication request information according to the user request. The system comprises a wave cloud account, a strategy production module and an authentication module; andthe wave cloud account is used for creating a user and a user group, specifying a strategy according to conditions, and authorizing the strategy to the sub-users and the user group, so that the userhas the function permission specified by the strategy and all the users in the user group.

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 food safety tracing system based on a hidden Markov model, and belongs to the field of food safety. Through the monitoring and collection of production, transportation, storage and selling links of food, the system enables the collected data to be processed for building the hidden Markov model, then carries out the cluster analysis of the hidden Markov model, and taking corresponding measures to guarantee the safety of food according to the results of cluster analysis. The system can determine a fault link and a reason specifically according to the results of cluster analysis, so that the system can take the corresponding measures to guarantee the safety of food. For example, a relevant department of a government can take corresponding measures to achieve prevention and control according to the analysis results of safety data of food; an enterprise can adjust the production strategy according to the analysis results, thereby bringing more benefits for the enterprise; and a consumer can adjust the dietary according to the analysis results.

The invention provides a method for co-producing L-phenylglycine and gluconate through single expression and co-expression of glucose dehydrogenase and L-leucine dehydrogenase in escherichia coli through utilizing a recombinant escherichia coli enzyme method and a whole cell method. The method is as follows: a glucose dehydrogenase gene and an L-leucine dehydrogenase gene are used for constructing recombinant single expression and co-expression carriers and are transformed into a gene engineering bacterium, namely the escherichia coli. The circulation of cofactors in a transformation system can be promoted through utilizing a recombinant bacterium enzyme method and the whole cell method; only a few of exogenous cofactors are added or the exogenous cofactors do not need to be used, and the L-phenylglycine and gluconic acid, which have high additional value, are co-produced by substrates including benzoylformic acid and glucose through utilizing a cofactor cyclic regeneration system; a transformation process is simple and rapid and low in cost. When transformation is carried out in a 5L fermentation tank for 2h to 4h, the yields of the L-phenylglycine and the gluconic acid, obtained by the method, can respectively reach 58.8g / L and 75.6g / L, and an actual and effective strategy is provided for industrial production.

The invention provides a scheduling method for a complete set of orders with switching time. The scheduling method comprises the following steps: a) establishing a mathematical model of a complete setof order scheduling problem; b) calculating by utilizing an artificial bee colony algorithm with a neighborhood structure according to the established mathematical model: setting a population size, aneighborhood search algebra and an upper limit of an unimproved algebra; initializing a population according to the coding scheme; adopting a semi-active decoding mode to obtain an individual fitnessvalue; searching and occupying a high-quality honey source, and sharing honey source information with the following bees; selecting an employed bee and collecting honey by following the employed bee;judging the number of individual improvements of the employed bees; when an individual better than the current employed bee appears in the filial generation, replacing the current employed bee individual; and if the termination condition is not met, continuing to optimize. Compared with the prior art, the scheduling method has the advantages that enterprises or factories can formulate reasonableproduction strategies under the conditions of given resources and constraints, the scheduling efficiency is improved, and the operation cost of the enterprises is 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 drill rig part Internet of things integrating system and components of the system. The drill rig part Internet of things integrating system comprises five C / S sub systems including a basic database sub system, an oversea enquiry sub system, a forwarding sub system, an oversea on-site hand-over sub system and a storage sub system, and a drill rig part Internet of things B / S main system. A logistics integration system is formed, an efficient means is provided for data input, data maintenance, data enquiry and data statistical management, and a powerful basis is provided for subsequent production strategies and long-term plans; an efficient and quick modern information communication channel is set up.

The invention discloses a work module of the simulating producing sector which comprises a work planning block, a work planning database, a producing strategy block and a producing strategy database. The work planning block is established by each operating data of the producing platform; the work planning database is established by integer a plurality of work planning blocks. The producing strategy block is established by each yield data of the producing platform; the producing strategy database is established by integer a plurality of producing strategy blocks.

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 discloses a drill rig part and Internet of things integrating system and components of the system. The drill rig part and Internet of things integrating system comprises five C / S sub systems including a basic database sub system, an oversea enquiry sub system, a forwarding sub system, an oversea on-site hand-over sub system and a storage sub system, and a drill rig part Internet of things B / S main system. A logistics integration system is formed, an efficient means is provided for data input, data maintenance, data enquiry and data statistical management, and a powerful basis is provided for subsequent production strategies and long-term plans; an efficient and quick modern information communication channel is set up.

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 present invention discloses a landfill gas acquisition optimization control system based on cloud. The system comprises a data acquisition terminal, a control terminal and a cloud server. The system is able to transmit the production data and the monitoring data in the landfill operation process through a GPRS network to a cloud server, and complete the optimization of inversion calculation and production strategy of the landfill model parameters in the cloud server so as to display the data at the front end of the site for visualization and emit the decision data to the control terminal for gas production optimization control. The landfill gas acquisition optimization control system based on cloud is able to effectively improve the landfill gas acquisition management level, reduce the environment problem caused by discharging landfill gas, enhance the usage rate of the landfill gas (methane) which is taken as clean energy, and relieve the energy crisis.

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.

The invention provides a device information management method and a cloud service platform. The method comprises: a cloud service platform receives activation information uploaded by a device, whereinthe activation information includes device identification information; whether pre-stored device identification information matching the device identification information exists in a preset device identification information database is searched; if so, the activation information is stored in storage space associated with the pre-stored device identification information. Therefore, the informationof the user using the device product as well as usage information of the device product is obtained effectively; and the device manufacturer can understand the popular degree of the device product based on the obtained user information and usage information of the device product, so that the production strategy is adjusted timely and the quality of the device product is improved timely.

The invention relates to an oil field management system. The oil-field management system comprises an oil well management module and a cloud-end management module, wherein the oil well management module is abstracted into corresponding Web services, Web services of single oil well are combined to form an interoperation model of the single oil well; the interoperation model comprises a data acquisition unit for acquiring oil well data, a data transmission unit for storing and transmitting the oil-well data to a cloud-end management module and updating a local algorithm library according to an optimized control strategy, and a control unit for adjusting a production strategy of the oil well in real time according to the updated local algorithm library; and the cloud-end management module comprises a data management unit for receiving and storing the oil-well data sent from the interoperation model, and a strategy computing unit for calculating an optimization strategy of the oil well according to the received oil well data and sending the optimization strategy to the interoperation model. According to the oil field management system disclosed by the application, the purposes of controlling the oil well production and adjusting the oil-recovery strategy can be achieved and the implementation is simple and efficient.

The invention discloses an intelligent production system. The intelligent production system comprises a workbench and a management system, and is characterized in that the management system comprises a processing unit, a counter, a central processing unit and a wireless module, the counter, the central processing unit and the wireless module are all arranged on the workbench, the counter acquires the workload of the workbench and transmits the acquired workload to the central processing unit, the central processing unit transmits the workload to the processing unit in real time through the wireless module, and the processing unit performs production efficiency calculation on the workload. The intelligent production system performs accurate counting on the workload on the workbench by using the counter, the central processing unit and the wireless module which are arranged on the workbench, the processing unit performs work efficiency statistics on the workload, and a production manager is enabled to accurately master the production efficiency of each workbench, thereby facilitating the production manager to control the production progress and formulate a production strategy, and improving the production management level of production enterprises.