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

The invention discloses a mobile operation terminal platform and an access method based on a marketing system and an acquisition system. The terminal platform is arranged on a mobile operation application platform and has communication with the marketing system and the acquisition system of the electric power department through a server side supporting platform. The terminal platform comprises a service module, a message processing module, a function processing module and an external interaction module. The mobile operation terminal platform is high in extensibility and compatibility and supports multi-protocol multi-type data transmission.

The invention provides a digitalized coal yard system based on Internet of Things and an artificial intelligence system, relates to the technical field of fuel management, digitalized factories and power generation, and particularly relates to a digitalized management system of a coal yard. The method is based on the Internet of Things. The invention discloses a digital coal yard system of an artificial intelligence system. Digitization and intelligentization of coal yard and fire coal data are achieved by means of an artificial intelligence system, coal quality test equipment and entrance detection equipment are combined by means of coal yard related equipment and an information acquisition intelligent terminal, fire coal digital management is achieved, a data reference basis is providedfor coal blending combustion and fire coal planning, and actual economic benefits are brought to enterprises. According to the invention, a management chain from entry to evaluation is required to beestablished, and closed-loop management of fuel is realized, so that a coal yard management platform and a coal-fired data center are provided on the basis of an overall scheme architecture, and digitalization, visualization and intelligentization of coal yard management of power generation enterprises are realized through construction of the coal yard management platform and the coal-fired data center.

The invention provides a robustness optimization evaluating method for a reference power grid considering the load uncertainty. The method comprises the following steps: giving the parameters to a current state power grid; forwardly prospecting the load prediction interval values for all periods in a time scale and the planned network candidate branch schemes for the coming years; according to the relationship between the reactance of the system branches and the node branches, forming a system node injection transfer factor matrix; considering the response mechanism of the system to the uncertainty, forming a system power transfer distribution factor matrix under the guidance of the generator participation factors; expressing the uncertainty amount of the interval load in the form of affine arithmetic; constructing an optimal model; processing the interval form constraint in the optimal model and transforming it into a linear programming model; and using the linear programming method to solve the optimal model to obtain the final transmission line capacity value. The method of the invention is capable of considering the actual condition of a current state power grid, which increases the accuracy for planning decisions and realizing the professional and refined management for power grid development.

The invention discloses a reference grid opportunity constraint planning method adapted to large-scale grid connection of wind power, comprising the following steps: giving current grid data, load forecasting value in planning time period, planning scheme of wind farm in planning time period, output level distribution and grid transmission component scheme candidate for grid planning; the optimization model being constructed to minimize the sum of the investment cost and the operation cost of the transmission network in the planning period, and including the constraint conditions to ensure theacceptance level of wind power. The constraint conditions are transformed into mixed integer linear programming (MILP) model, and the conventional mixed integer linear programming (MILP) method is used to solve the optimization model, and the final reference power network optimization scheme is obtained. The invention can be used for evaluating the adaptability of the present power grid in a prospective time scale under the background of large-scale wind power grid connection, defining the development direction of the present power grid, and is an important means for realizing the precise investment of the power grid.

The invention relates to the technical field of power system application, in particular to a model matching method for a power equipment CIM (Common Information Model) and a production integration system. The method specifically comprises the following steps that: extracting standing book data from the production integration system; extracting CIM model data from a dispatching system; analyzing aCIM file, and writing the CIM model data into a relational database; according to the naming situations of the standing book data and the CIM model data, configuring a matching rule; according to thematching rule, establishing an equipment mapping relationship between the production integration system and the dispatching system to obtain power grid panoramic model data so as to establish a powergrid panoramic model. Through the method, interconnection and interworking between different production business information systems can be realized in advance, and the lean management of the businessinformation system is realized.

The invention discloses a networked online inspection system for electric energy metering devices. The networked online inspection system comprises data acquisition devices, a data concentration device and a background server, wherein the data acquisition devices and the data concentration device are deployed in an electric meter cabinet of a substation, and the background server is deployed at a metering center; the data acquisition devices are connected with electric energy meters correspondingly, acquire pulse signals of the electric energy meters and voltage U and current I which are connected to the front of the electric energy meters, and send sample value packets to the data concentration device; and the background server is deployed at the metering center and used for receiving time mark carrying information which is sent by the data concentration device, performing electric energy calculation on original voltage and current and comparing with an electric energy value corresponding to the pulse signals so as to realize networked online inspection for the electric energy metering devices. The system disclosed by the invention truly realizes network online inspection for the electric energy metering devices, the front end only requires to deploy the highly-integrated high-precision acquisition devices and the data concentration device, and a standard meter is not required to be installed; and the rear end only requires to deploy the server and does not need a digital or simulated electric energy meter calibration instrument, thereby realizing high-precision acquisition at the front end and networked inspection at the rear end.

The invention discloses a substation video monitoring system based on an SIP (Session Initiation Protocol) and integrating a GIS (Geographic Information System) platform, which comprises an upper video monitoring platform, a lower video monitoring platform, a lower GIS spatial information service platform and an upper GIS spatial information service platform, wherein the lower video monitoring platform comprises a lower communication server, a lower streaming media server, a lower map management server, front end encoding equipment and a plurality of cameras, and the upper video monitoring platform comprises an upper communication server, an upper streaming media server, an upper map management server and an upper video monitoring client. The substation video monitoring system with spatial information is established by integrating a video monitoring system, the upper GIS spatial information service platform and the lower GIS spatial information service platform, and static parameter information, dynamic operation information and a real-time monitoring frame are combined with a spatial relationship and position information, so that effective support is provided for production operation of an intelligent substation.

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.

The invention discloses a power failure information management system based on a trouble call management system, which includes a trouble call management system, a power transmission and distribution production management system, and a load control information system, wherein the trouble call management system is provided with a power failure information management module used for power failure information sheet management, power failure information distribution and power failure information statistics as per scheduled power failure information and information of power supply outage and ration; the power transmission and distribution production management system is used for outputting the scheduled power failure information to the trouble call management system; and the load control information system is used for outputting the information of power supply outage and ration to the trouble call management system. According to the invention, a unified power failure information management platform is provided for related personnel to share and distribute power failure information of all kinds in a unified manner, thereby reducing links and time for information transmission, improving the power line repair and information sharing capability of daily operation, and realizing the lean management; and reply to power failure and power recovery of various types such as scheduled outage and outage caused by failure can be quickly carried out, and cross-system and cross-department power failure integration and procedure coherence are realized, so that the quality of the service for users is improved.

The invention discloses a production order management system based on a 5G network, which comprises an enterprise management layer and a workshop production control layer, and is characterized in thatthe enterprise management layer converts a sales order into a production order and associates the production order with equipment, personnel and material data information stored in a data server so as to issue a task instruction to the workshop production control layer; the workshop production control layer collects real-time data of equipment, personnel and production, communicates with the enterprise management layer in real time through a 5G wireless network, receives an instruction and controls production; the order management server obtains the number, specification, quality and progressof produced products through the workshop production controller, compares the number, specification, quality and progress with a production order, judges whether a production task is completed or not, and correspondingly sends out production stopping, work order modifying, deviation correcting, personnel allocating and material adjusting instructions. According to the invention, the intelligent degree of enterprise management is improved, seamless connection between a production order and a workshop production plan is realized, and the effectiveness and scientificity of management are improved.

The invention relates to a lock opening method, device and equipment and a storage medium. The method includes the steps of sending an unlocking instruction to a to-be-opened lock through the wirelessconnection between a user terminal and the to-be-opened lock after a user successfully logs into a login interface of unlocking application of a user terminal through authority account information; collecting unlocking information after the to-be-opened lock is opened according to the unlocking instruction and sending the unlocking information to a background server, wherein the authority accountinformation and the identification of the to-be-opened lock have correspondence, and the unlocking information includes at least one of the unlocking time, unlocking site, unlocking frequency and unlocking behavior object. By means of the method, the intelligence of the unlocking mode is improved, the work efficiency of inspection personnel is improved, the lean management of a power distributionnetwork station and a power distribution device is realized, and the monitoring effectiveness of the station and the device is improved.

The invention relates to a query and prediction method of related material attributes of overstocked materials and relates to the commodity management. According to the method, basic inventory age conditions of specific cargoes are preliminarily understood through utilizing a chart mode, and changes of present inventory ages and historical inventory ages are compared; for predicting an overstocked-or-not problem of the materials, importance ordering of related material attributes is carried out; the overstocked materials are queried, attributes related to overstocking are acquired through utilizing attribute importance ordering, and inventory at the certain time scope in the attributes is acquired through query; the overstocked materials are predicted, and the overstocked materials are predicted through the query result. The method is advantaged in that through determining whether the materials are overstocked materials, work complexity of stock monitoring is reduced, prediction precision of material stock overstocking is improved, cargo overstocking is effectively prevented, and cargo overstocking investment is reduced.

The method is suitable for an economic park power distribution network and provides an active service and operation management and control unified platform for a power distribution network in an economic park. The invention comprises a power distribution network active service and operation management system, the power distribution network active service and operation management system is connected with a big data cloud platform center through an electric signal, and the big data cloud platform center comprises a service interface layer, a data storage layer and a data extraction layer. The invention discloses an active service and operation management and control unified platform for a power distribution network in an economic park. The requirement of changing the traditional passive service into the active service is changed; active unified and centralized management and control of internal and external information, active unified and centralized monitoring of source network load panorama, active unified and centralized management and control of distribution network service, active unified and centralized allocation of power distribution resources and intelligent auxiliary decision-making of distribution network service are realized. The active service capability of three subjects of a power supply company, a power supply client and a government is improved, and the economicpark distribution network production efficiency benefit, the service efficiency benefit and the management level are comprehensively improved.

The invention discloses a power grid line loss fine management method based on data mining, and the method comprises the steps of dividing an evaluation system into four dimensions: planning, management, operation and technology, and carrying out the whole line loss management process; according to an index selection principle, selecting indexes, constructing a multi-dimensional line loss management evaluation index system, solving dimensions and index weights, formulating index scoring standards according to various specifications and index data conditions of a power grid, and then constructing a prefecture-level power grid multi-dimensional line loss management evaluation system. According to the invention, an analytic hierarchy process is adopted to select evaluation indexes with commonality and practicability, and a hierarchical closed-loop management and control mechanism for line loss collection management, professional management and evaluation indexes is formed, so that differences of different professional dimensions between different management subjects and in the same subject can be effectively found, the problems that current prefecture-level power grid line loss management assessment is imperfect, and the current line loss management situation is difficult to assess are solved, and procedural, standardized and lean management of line loss is achieved.

The invention belongs to the technical field of substation inspection, and particularly relates to a transformer defect assessment method based on big data analysis, which comprises the following specific steps: S1, collecting data; S2, preprocessing the data; S3, mining the data set, and establishing a defect feature vector; and S4, constructing a substation transformer defect trend evaluation model based on an XGBoost algorithm, and evaluating the operation health degree of the transformer according to the defect characteristics. By the adoption of the method, the substation equipment inspection data value can be fully mined, automatic defect judgment is achieved through equipment health degree scoring, more than 90% of labor can be saved, the efficiency is improved by more than 10 times, and substation inspection and maintenance work is changed into data driving from experience judgment, into state inspection from planned maintenance, into pre-event active prevention from post-eventpassive processing, lean management of operation equipment is achieved, and value-added service is provided for transformer substation inspection work.

The invention discloses a molten iron scheduling method and system based on steelmaking molten iron quality requirements, and relates to the technical field of molten iron transportation. A steelmaking execution system formulates a molten iron demand plan including molten iron quality grade requirements, and the ironmaking execution system combines current inspection and test data of each blast furnace to generate current tapping actual performance; and the molten iron management and control platform obtains the current molten iron grade of each blast furnace according to the current tapping actual performance and the molten iron grade rule, selects the standard blast furnace number meeting the molten iron quality grade requirement according to the matching of the molten iron quality grade requirement and the current molten iron grade, and executes the transportation operation of the molten iron tank according to the standard blast furnace number and the molten iron transportation system. The molten iron transported to a steelmaking department meets the steelmaking requirement through the quality requirement of the molten iron, the transportation and molten iron treatment cost is reduced, refined and lean management of molten iron transportation operation is achieved, the hit rate of the molten iron and a steelmaking plan is increased, temperature drop is reduced, and the matching rate of the molten iron needed for steelmaking is increased.

The invention relates to the technical field of network power engineering management, and discloses a power construction site-based management and control system, which comprises a power treasure system. The power treasure system comprises market customers and a construction management module. The market customers comprise power grid owners and total subpackage units; the construction management module comprises a satisfaction management module, a personnel management module, a field management module, a quality management module, a safety management module, a progress management module and aperformance management module. The invention further discloses a working method of the management and control system based on the power construction site. According to the management and control method and system based on the electric power construction site, the management level is improved, the cost control is enhanced and the operation cooperation mode of information transparency, process simplification and action standardization is established by utilizing the management mode of Internet + electric power construction, and an informatization communication platform of construction enterprises and owner customers is established by utilizing the Internet technology. Better use prospects can be brought.

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 provides a cloud desktop office method and system based on hierarchical decoupling, and the method comprises the steps: S101, judging whether a user is a legal user or not according to the login information of the user, executing S0102 if the user is the legal user, and executing S103 if the user is not the legal user; S102, acquiring information of a terminal for transmitting the access request, judging whether the information meets a preset condition or not, if so, executing S104, and if not, executing S105; S103, refusing the access request; S104, acquiring the system snapshotof the user stored in the cloud, loading the office desktop according to the system snapshot, and making the system snapshot and updating the system snapshot of the cloud according to the informationof the terminal; S105, updating the system snapshot of the user stored in the cloud according to the information of the terminal, and loading the office desktop through the updated system snapshot. According to the invention, logic separation of a user and a terminal hardware entity is realized, the user can use own working environment on different terminals, the working efficiency and the company terminal fault processing and operation and maintenance management and control level are improved, and lean management is realized.

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 line loss rate determination method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring equipment information of each power equipment collected by monitoring equipment of each level; determining a target model corresponding to each equipment group according to a preset corresponding relation; generating a time slot corresponding to the target model of the same equipment group according to the equipment information of each power equipment in the same equipment group in the equipment groups; and determining the line loss rate of the same equipment group by adopting the target model of the same equipment group based on the power consumption of each power equipment in the same equipment group. By adopting the method, the actual condition of the line loss rate can be known from the overall situation, so that the lean management of the line loss rate is realized.

The invention discloses a power grid planning method. The whole process of daily power grid planning is integrated into daily power grid business, departments related to power grid planning serve as main nodes, filling and summarizing of basic data are carried out, deep connection of power grid planning and power enterprise production operation is achieved, and business management and data application barriers of all professions and all systems of a power grid enterprise in power grid planning work are broken through; information overall management of the whole power grid planning process is achieved, business data of all departments are integrated and maintained in an open, transparent and tamper-proof distributed database mode, data errors are found and checked in time, data tracing is conducted, data opening and usability are improved, data accuracy is improved, and work efficiency of all the departments is improved. Whether the planning problem, the planning project and the construction effect are qualified or not is automatically evaluated every other preset time, whether power grid planning is effective or not is checked in time, the accuracy of power grid planning is improved, and lean management of power grid investment is achieved.

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.

The invention provides a bus grounding fault processing method based on main and distribution integrated big data analysis, and the method comprises the following steps: recognizing a grounding fault through employing a multi-dimensional data intelligent alarm technology, if a power distribution automation system recognizes the grounding fault, processing the grounding fault based on an integrated sequence control system, and carrying out the processing of the grounding fault. Otherwise, identifying the ground fault by using a main and distribution intelligent alarm collaborative optimization technology, identifying the ground fault by using a power distribution network FA and intelligent alarm collaborative optimization technology, and processing the ground fault based on a power distribution network ring network alarm logical reasoning technology. According to the method, man-machine efficient interaction is utilized, the intelligent dispatching level of a power grid is improved more quickly and more efficiently with higher management force, higher innovation force and higher execution force, bus grounding fault handling is improved to 6 minutes from 30 minutes, and lean management is achieved. The main-distribution integrated technology is realized to support intelligent auxiliary decision making, and the accuracy of fault alarm and fault positioning is improved. The power recovery efficiency is effectively improved, the power supply service quality is improved, the manpower and material resource cost is saved, and resource optimization management is realized.

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 present invention is applicable to the field of computer application technology, and provides a project supervision and management system, including: a whole-area management and control terminal, a partition management and control terminal, a departmental management and control terminal and a server, and the whole-area management and control terminal obtains project deletion or new information through the project management and control module , and send the deleted or newly created information to the control module of the server, the control module makes the database module delete or create new project information; the project statistics module counts the project information in the database, and forwards the project statistics results to the project overview of the district management and control terminal through the control module module; the department management and control terminal obtains the project query request through the project query module, and sends the project query request to the database module through the control module of the server, and the database module returns the project information query module through the control module. The invention realizes the automation of the technical supervision process, can improve the quality and efficiency of the technical supervision, and realizes lean management of the technical supervision.

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.

The invention provides a power cable joint manufacturing quality detection device and method. The device comprises a detection device which is used for collecting a power cable joint image or video through a machine vision technology, an environmental parameter monitoring device which is used for monitoring the manufacturing environment of the power cable joint, a power cable joint ID identification device which is used for automatically identifying the ID of the power cable joint, and a control mechanism which is used for acquiring the collected image or video, monitored environment parameters and data of power cable joint ID identification, processing, calculating, statistically analyzing and storing the data, and finally obtaining a detection result and generating a detection report; the control mechanism is in signal connection with the detection device, the environmental parameter monitoring device and the power cable connector ID identification device. According to the detection device and method of the invention, the manufacturing quality of the power cable joint can be rapidly and reliably detected, and the problem of cable faults caused by the manufacturing quality of the power cable joint is effectively solved, so that the manufacturing quality of the power cable joint is improved.