17 results about "Scientific management" patented technology

The invention discloses a BIM-based full-period management method and system for tunnel construction organization optimization, and belongs to the technical field of construction organization and cost management. The management method comprises the following steps: establishing a three-dimensional geometric model and a parameterized model of a tunnel based on a BIM technology; performing work decomposition on a construction task, and calculating a construction activity time parameter; calculating the cost of materials, machinery and manpower of each construction unit, and summarizing the total cost of the project; optimizing a construction period and resource allocation under a multi-constraint condition by adopting a genetic algorithm; predicting future process time consumption and construction progress based on an LSTM time sequence prediction model; and integrating dynamic data of the construction site, and updating the BIM model in real time. Through combination with dynamic data, efficient organization and scientific management of the whole tunnel construction process are realized, the construction efficiency can be improved, the engineering cost can be reduced, and the scientificity and rationality of project decision making are remarkably improved.

The invention relates to the technical field of cloud manufacturing, in particular to a real-time order receiving and scheduling method and system for a flexible job shop. Comprising the following steps: extracting related data from a production site, and constructing a flexible job shop environment model according to the related data; an agent decision model is constructed, a corresponding DQN algorithm model is constructed, and the DQN algorithm model comprises an order acceptance DQN and a scheduling DQN; on the basis of interaction with the intelligent agent, training an order acceptance DQN algorithm model and a scheduling DQN algorithm model, the training of the order acceptance DQN being completed on the basis of the scheduling DQN having a good effect; and deploying the trained order acceptance DQN and the scheduling DQN to make a decision. According to the method, comprehensive fine consideration of the external production capacity and the expected available production capacity of the actual production workshop is added, a high-customization order-oriented order acceptance decision and production logistics collaborative scheduling real-time comprehensive scheduling model is established, the deviation of real-time acceptance decision is reduced, and more efficient and scientific management and control of the production process are realized.

The invention provides a visual production management system and method, and relates to the field of intelligent production management, and the method comprises the steps: carrying out the real-time analysis of motor temperature values, motor current values and equipment total operation duration of all production equipment in a production workshop, so as to obtain the operation state characteristics of the production equipment in the workshop; and obtaining a workshop production equipment state diagram according to the operation state characteristics of the workshop production equipment through a generator, and displaying the workshop production equipment state diagram on a large workshop production screen to realize visual management of the workshop production equipment. Therefore, workshop management personnel can comprehensively and intuitively know the operation condition of the whole workshop production equipment in real time, so that the workshop management personnel can make scientific management decisions, and the risks of production stagnation and economic loss are reduced.

The invention provides a blast furnace hearth molten iron storage closed-loop control and early warning method and system.The method comprises the steps that on the basis of a blast furnace intelligent monitoring technology, air volume, air pressure, pig iron speed and tapping speed data are obtained in real time, and a hearth molten iron storage model is constructed; and then dividing the storage amount of the molten iron in the blast furnace into four stages: an opening slow flow stage, an opening fast flow stage, a plugging buffer stage and an iron stopping stage. On the basis of related data of the four stages, the corresponding relation between the tapping time and the tapping amount is explored, the corresponding relation between the molten iron stock and the pressure in the furnace is analyzed, and a molten iron stock early-warning value, a pressure early-warning value and the like are determined; based on the regression equation of the tapping time and the tapping amount, early warning is conducted on the stokehole opening and plugging operation by considering the in-furnace pressure amount relation, the method has important significance on reasonable and scientific management and control of the stokehole operation, and closed-loop control over the stokehole operation of the blast furnace is achieved.

The present invention is applicable to the technical field of pipe network maintenance, and relates to an intelligent decision-making method and system for urban underground drainage pipe network maintenance, including the following steps: three-dimensional instantaneous hydraulic model analysis of drainage pipe network functional diseases; finite element fitting analysis and full-scale test are used to calibrate parameters and verify the accuracy of the three-dimensional instantaneous hydraulic model of drainage pipe network functional diseases; combining node water level iteration method, Preissmann slit method, Godunov finite volume method and unstructured grid, reconstructing the surface one-two-dimensional underground coupling connection model; using R language, dynamic library link technology and long short-term memory neural network method of multi-source data samples to realize the engineering secondary development of the one-two-dimensional coupling connection model, and obtain the functional disease situation of urban drainage pipe network with waterlogging result labels; establishing a multi-objective planning intelligent decision-making model for drainage pipe network maintenance and its solution method. The present invention can meet the intelligent, precise and scientific management and decision-making needs of urban underground drainage pipe networks.

The invention relates to the technical field of enterprise financial management, and discloses a multi-level green supply chain financial intelligent cooperation system and method based on a carbon account, and the system comprises an enterprise financial activity application green supply chain object analysis module, an enterprise green supply chain financial strategy making module, and an enterprise green supply chain financial strategy output module. On the basis of enterprise financial loan application supply chain link identification information and enterprise target supply chain link total carbon point information, an intelligent search algorithm and scientifically set enterprise supply chain financial loan discount scheme information are combined to carry out enterprise supply chain financial loan discount scheme intelligent planning. The enterprise financial loan preferential scheme is formulated based on the supply chain link and the supply chain link carbon point, the supply chain financial loan business is scientifically managed based on the supply chain link carbon account, and the intelligence and greenization of enterprise green supply chain financial management are improved.

The invention discloses a task value quantification system and a task value quantification method. The quantification system comprises a work reporting terminal, a quality inspection terminal and a calculation engine, wherein the work reporting terminal is used for inputting work reporting information that a task is completed; the quality inspection terminal is used for acquiring work reporting information in real time and forming a quality evaluation coefficient based on the work reporting information; and the calculation engine is used for calling a preset quantification model, taking the quality evaluation coefficient as an evaluation factor, and combining preset task basic value, difficulty coefficient and value coefficient to carry out value quantification calculation on the work reporting information to obtain a quantification result. According to the technical scheme of the invention, the method can effectively reduce the conditions of inalive and inalive, can reduce the phenomena of heavy speed and light weight, improves the enthusiasm of employees, and meets the demands of an enterprise for scientific management and precise payment of complex labor through guiding the behaviors of the employees to incline in the directions of improving the quality and solving key problems.

The invention relates to a method for optimizing total labor cost in an integrated circuit design project, which comprises the following steps of: firstly, establishing a mathematical model for daily output and daily salary of research and development personnel, accurately quantifying the mathematical model to obtain research and development output and salary cost corresponding to any working duration of the research and development personnel; the employee demission condition and the employee efficiency coefficient are respectively modeled as a random process and a random variable, and the parameters are solved through a mathematical model. And finally, changing a deterministic optimization problem into a random optimization problem, carrying out Monte Carlo sampling and approximation on employee demission conditions and employee efficiency coefficients, solving the random optimization problem to obtain the optimal cost and numerical values of project personnel, working time, project progress and the like, and carrying out scientific management on the project before the project starts. The method can be used for project progress and cost optimization in an integrated circuit design project, can also be used for project progress and cost optimization in other industries, and has wide application value.

The invention provides a distributed photovoltaic power station asset unified management system based on edge calculation, and the system converts operation parameters into a unified format through an Internet of Things module, and achieves the efficient processing of data. The data preprocessing sub-module preprocesses equipment operation parameters to generate standard data, and transmission redundancy is reduced; and the resource scheduling sub-module divides data priorities by using a three-dimensional priority vector model to ensure that key data is transmitted preferentially, so that the data processing efficiency is effectively improved. The edge decision sub-module integrates parameter threshold comparison, long and short-term memory network trend prediction and a fuzzy logic algorithm, integrates real-time and historical data of equipment to judge an operation state, accurately outputs a control instruction, guarantees stable operation of a power station, and improves power generation efficiency. The big data analysis module further mines data values, generates an accurate operation trend chart through space-time correlation and causal relationship analysis, and provides powerful support for scientific management and decision making of the power station so as to improve accurate perception and efficient regulation and control of the operation state of the photovoltaic power station.

The present application provides a visual production management system and method, which relates to the field of intelligent production management. By analyzing in real time the motor temperature value, motor current value, and total equipment operation duration of all production equipment in the production workshop, the operation state characteristics of the production equipment in the workshop are obtained. Then, the operation state characteristics of the production equipment in the workshop are passed through a generator to obtain a state diagram of the production equipment in the workshop, and the state diagram of the production equipment in the workshop is displayed on the large screen of the production workshop to achieve visual management of the production equipment in the workshop. In this way, workshop management personnel can comprehensively and intuitively understand the operation of the production equipment in the entire workshop in real time, which is conducive to their making scientific management decisions, thereby reducing the risks of production stagnation and economic losses.

The invention relates to the technical field of intellectual property data management, in particular to an intellectual property theme analysis method and system based on multi-source dynamic view angle fusion, and aims to solve the problem that in the current intellectual property data ecological management and value mining process, a single data source or a static model is generally adopted, so that the intellectual property data is difficult to analyze. The accuracy of a technical theme analysis result is low; the technical features are unilaterally incomplete; and the efficiency of an analysis process is low. The system and the application of the system comprise the steps of intellectual property theme data collection, multi-view feature extraction, theme modeling, theme tracking, result visualization and the like, and through integration of intellectual property multi-source heterogeneous data, themes and trends hidden in intellectual property data are comprehensively found; and through scientific fusion, analysis export and visual display of the data, the accuracy and comprehensiveness of intellectual property theme discovery can be effectively improved, and powerful support is provided for scientific management and layout of intellectual property data ecology.

This invention provides a PCBA production management process. The PCBA production management process includes the following steps: Step S1, obtaining the customer's product dimensions and shape requirements, and performing calculations and modeling for PCB board thickness control and electronic component design; Step S2, through precise calculation and scientific management, designing and implementing the PCB manufacturing stage processes and parameters to produce PCB boards with qualified thickness specifications; Step S3, through precise calculation and scientific management, designing and implementing the assembly and placement stage processes and parameters, and achieving precise control of solder paste thickness by including strict control of stencil openings, printing machine parameters, and specifying solder paste materials, ultimately achieving the required thickness and shape of the finished PCBA. This invention employs automated control to adjust the PCB thickness and manufacture finished PCBA components according to product shape requirements, meeting diverse customer needs and improving production efficiency.

The invention relates to the technical field of marketing management, and discloses a marketing management method and system for websites and channels, and the method comprises the steps: generating a first marketing strategy based on a first click rate, displaying the first marketing strategy, obtaining a second click rate and a corresponding conversion rate through monitoring, generating a second marketing strategy, and displaying the second marketing strategy. The system corresponds to the method. According to the method, fine adjustment of display parameters, dynamic configuration of channel resources, deep evaluation of a propagation effect and strategy iterative optimization are realized, scientific management of a whole multi-channel marketing process is realized, the utilization efficiency of the marketing resources is improved, the accurate control capability of an enterprise on the channel value is enhanced, finally, the marketing conversion rate is promoted to be improved, the market competitiveness is enhanced, and the market competitiveness is improved. And a complex and changeable market environment is efficiently adapted.

The invention relates to an intelligent induction control method and system for tension pay-off, and the method comprises the steps: building a pay-off system model, building a continuous pay-off system equation set according to the pay-off system model, and completing the continuous motion analysis of a whole process of a traction plate from a tension machine to a traction machine according to the line system equation set. And parameters such as tension, traction force, sag between sections, pulley load, envelope angle and the like can be accurately calculated. According to the method, the data of the stretching equipment is preprocessed, signal reconstruction is carried out, the remote control effect is enhanced, the good data preprocessing capacity is achieved, and meanwhile the high response speed and the high-precision control result are achieved. The method is of great significance in guaranteeing safe operation of the stretching equipment, reducing the maintenance cost of the equipment, improving the scientific management level of the stretching equipment and improving the economic benefits of enterprises.

The invention relates to a large-scale regional precision agriculture business financial data fusion system and method, and discloses a large-scale multi-region precision agriculture business financial data fusion system and method. One-field-one-code operation management data is taken as a core, and a business and financial code is taken as a grasp for a business and financial fusion approval process. Business data is gradually converted into financial data after being subjected to module functions such as approval, reimbursement, exchange management or farming accounting in the system, a to-be-processed voucher is automatically generated by the system, general ledger information is finally generated after financial staff processes the to-be-processed voucher, and meanwhile the system supports report query of data of all branch modules. According to the invention, accurate operation can be realized, resource allocation can be optimized, and economic benefits can be improved. And agricultural operators can better understand the operation risk and make adjustments in time. The method is helpful for establishing an agricultural cooperative and a complete agricultural value chain, is helpful for improving the resource utilization efficiency, and realizes scientific management and sustainable development of agricultural production.

The invention provides a production management method and system for copper wire drawing equipment, and belongs to the technical field of industrial production management.The production management method comprises the steps that an Internet of Things sensor is deployed on the copper wire drawing equipment, data such as production length, working time and production radius are collected in real time, and production weight is calculated and uploaded to a low-code data management platform; the system provides a visual operation interface, realizes production data management, has an order early warning function, automatically screens orders with configuration time being about to expire, supports manual evaluation and dispatch modification, and integrates a device residual capacity calculation function. The artificial intelligence scheduling engine performs intelligent scheduling based on platform data in combination with time sequence analysis and an optimization algorithm, and can dynamically adjust a scheme according to order early warning, manual intervention and capacity change. The system effectively solves the problems of insufficient order monitoring, inaccurate productivity evaluation and the like in copper wire drawing production, realizes accurate production data acquisition, order risk management and control, scientific productivity management and intelligent order arrangement, improves the fine level of enterprise production management, reduces order delay risks, optimizes production resource allocation, and improves the production efficiency. And the production benefit and the market competitiveness of enterprises are enhanced.