41results about How to "Realize lean management" patented technology

The invention brings forward an intelligent automobile exhaust pipe detection apparatus, which includes a pedestal and multiple detection points. The detection points are fixed to the pedestal according to the three-dimensional structure of an exhaust pipe. The detection points include a U-shaped pedestal and a top movable device. The first end of the top movable device is hinged to the first endof the U-shaped pedestal. The second end of the top movable device is provided with two contacts, the two contacts are connected through a conductor, and insulating materials cover the contacts. The second end of the U-shaped pedestal is provided with two contacts that correspond to the second end of the top movable device. The U-shaped pedestal is provided with a communicating sensor, and the communicating sensor is connected with the two contacts on the second end of the U-shaped pedestal. The beneficial effects of the detection apparatus are that precise management of an exhaust pipe production line is realized through analysis of detection data, the production efficiency is improved, the product quality is increased while the production cost is reduced, and probabilities of unqualifiedproduct detection leakage are reduced.

The invention relates to a method for identifying and generating the topology of a station area based on the principle of route detection. The intelligent switch and the smart meter inject characteristic signals into the power line in different time periods, so that the edge IoT proxy device collects the detection results of all characteristic signals, and combines the station area Household change relationship, node type, phase and address information to judge the node level and connection relationship in the station area. The invention can dynamically identify and generate the topology of the station area by means of route detection, find out the actual inconsistency of the topology map of the station area in time, and realize the lean management of the station area.

In order to prompt the lean management level of a convertor station, to meet the requirements for intelligent operation management of the convertor station, to achieve the effective fusion of monitoring data of equipment and to improve the utilization rate of data, the invention provides a panoramic state monitoring system for the convertor station. The system comprises a data collection module; a data storage module; a data analysis processing module; and an application module. The system achieves the unified collection and uploading of on-line monitoring data of all scattered and isolated devices at the convertor station to a mass real-time / historical database through a state controller, carries out the effective fusion and correlation analysis of the on-line monitoring data of various devices, achieves the panoramic monitoring and multi-dimensional analysis of the states of the devices at the convertor station, is provided with a plurality of management and analysis programs in a preset manner, provides intelligent early warning, alarming and auxiliary decision making functions for a manager, has an intelligent management function, can achieve the unified and standard storage of monitoring data of the devices at the convertor station, and provides unified data access service for the outside.

The invention discloses a system and method for dynamic identification of the topology of a low-voltage distribution station area electrical network, which includes a station area identification terminal of a master, a branch identification terminal of a slave machine, and an end identification terminal of a slave machine; the station area identification terminal is installed in a transformer The outlet terminal is used for phase-separated real-time broadcasting of the station identification signal of the station identification terminal and the reception of the terminal identification signal of the terminal identification terminal; the branch identification terminal is installed at the branch end of the line and is used to receive the station area of ​​the station identification terminal in real time The identification signal and the terminal identification signal of the terminal identification terminal; the terminal identification terminal is installed at the end of the meter box, and is used to receive the station area identification signal of the station area identification terminal and send the terminal identification signal of the terminal identification terminal in real time. The invention can efficiently and accurately establish the topological relationship among distribution transformer-line-household, provide household-transformer relationship for fast fault location of low-voltage line, and improve distribution network operation and maintenance management level and power supply reliability of distribution network.

The invention discloses a data analysis method and system for a digital exhibition, comprising: a data collection step of collecting the internal data of the exhibition platform and network public opinion data; the internal data of the exhibition platform includes basic user information, exhibition and exhibit information and exhibitor companies. Information; data preprocessing step, data collection and modeling of the collected data, including data quality analysis and improvement, data index system establishment, data cleaning and data conversion; data mining step, using cluster analysis method to The data is divided into multiple groups, and the GSA-optimized neural network is used to establish a user demand prediction model; in the data display step, the Python language is used to draw and generate data reports to realize dynamic data display. The invention can solve the problem of analyzing and processing the massive data of the exhibition, and provide the decision-making basis for the exhibition platform and the exhibitors.

The invention related to an improved reference power grid evaluating method. The improved reference power grid evaluating method comprises following steps of giving out a current power grid parameter and the load predicted value in each period within a forward time scale, and planning a network candidate branch scheme; constructing an optimization model which aims at minimizing the annual power generating cost and the annual power transmission cost and comprises a plurality of constraints; processing a mixed integer nonlinear constraint formula in the optimization model, converting the mixed integer nonlinear constraint formula into a mixed integer linear programming model, solving the optimization model by means of a mixed integer linear programming method, and obtaining a final power transmission line capacity value. The improved reference power grid evaluating method can be used for adaptability evaluation of the current power grid under the load level in the forward time scale to make weak links of the current power grid be clear, actual operation mode optimization of the power grid, power grid topological correction control under accident conditions, fluctuation conditions of safe wind power and load power are considered and are used for optimizing the power grid programming scheme, the accuracy of the planning decision is improved, and professional and lean management of power grid development is achieved.