8 results about "Scientific management" patented technology

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 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 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.