1036 results about "Full life cycle" patented technology

The invention puts forward a power distribution equipment state visualization platform based on big data. The platform comprises a data processing module, a data analysis module and an evaluation module, wherein the data processing module is used for obtaining multi-platform data, processing the multi-platform data and displaying the processed data; the data analysis module is used for carrying out big data integration, storage and retrieval and data mining analysis; and the evaluation module is used for generating a power distribution equipment evaluation model based on the big data, evaluating the power distribution equipment according to the power distribution equipment evaluation module, and generating a corresponding processing strategy according to an evaluation result. By use of theplatform, the business requirements of intensive development and lean management can be met, the multisource information interaction fusion ability of the equipment is improved, the full view real-time perception, and the multidimensional intelligent monitoring and control of the power distribution equipment can be realized, equipment operation risks can be prevented in advance, reaction speed for emergency events can be improved, and the full life cycle of the equipment can be subjected to management transparency and high efficiency.

The invention discloses a data security control method and a data security control platform. The method includes S1, partitioning data according to type and security classification; S2, performing encryption, identity authentication, access control, security audit, tracking and forensics on the data according to a data partitioning result, and distributing corresponding security protection tools for security protection; S3, collecting and normalizing log information generated by the security protection tools, and creating a full-life-cycle security view of the data. The data security control method and the data security control platform have the advantages that fine-grained differential full-life-cycle protection of big data can be achieved, utilization rate of the security protection tools can be increased, and the big data can be subjected to tracking and forensics.

The invention relates to high-performance powder concrete for 3D (three-dimensional) printing. The concrete is prepared from the following raw materials in parts by weight: 500-900 parts of ordinary Portland cement, 250-350 parts of active mineral admixture, 800-1,300 parts of inert filler, 10-20 parts of composite efficient water reducing agent powder, 2-5 parts of thickener, 4-10 parts of self-curing agent, 2-10 parts of fast setting time regulator, 145-230 parts of water, 3 parts of organic fiber and 40-200 parts of copper plated fiber. The concrete material for 3D printing has the characteristics of ultrahigh strength and toughness, good durability, long full life cycle, high curing rate, good flowing property and easiness in pumping and lifting and is suitable for constructing 3D-printed building structural materials in all kinds of engineering.

The invention relates to a method and device for estimating a charge state of a lithium ion battery. The method comprises the following steps: A, fitting a relation between the open-circuit voltage and the charge state of the lithium ion battery; B, estimating the charge state of the lithium ion battery by utilizing an observer method; C, if the charge state of the lithium ion battery estimated in the step B is larger than a predetermined threshold value, estimating the charge state of the lithium ion battery by using the observer method, and if the charge state of the lithium ion battery estimated in the step B is smaller than the predetermined threshold value, estimating the charge state of the lithium ion battery by using an ampere-hour integral method. Through the method and the device for estimating the charge state of the lithium ion battery, provided by the method, the defects of the ampere-hour integral method and the observer method can be overcome, and the high estimation accuracy is provided in a full life cycle and a full charge state region.

The invention provides a method for building a software production line platform based on Test Director, Harvest or Subversion, which is characterized in that: by combing the information standards, information flow and information dependency relationship during the process of software research and development; then general defects, modification and configuration management rules (such as flows, tables, fields, roles, authority and protocols) are formulated; unified bases for quality measurement and statistical analysis are established, and a set of measurement models for product quality and process quality is formed. Furthermore, an assistant software research and development synergic management system is also provided for fulfilling support; the operations of service linkage connection, rule mapping and information synchronization are performed for Test Director, Harvest or Subversion. Therefore, the invention has the advantages that: the multi-dimensional data acquisition for demand management, configuration management, alteration management, release management, project management and defect management can be completed, and a software enterprise asset library with a full life cycle is thus formed.

The invention provides a photovoltaic power station operation and maintenance system; the system comprises a data collecting module, a communication module, a data storage module, a monitor module, a fault warning module, a video module, a specialist diagnosing module, an asset management module, and an operation and maintenance module; the method of linkage among multiple systems is achieved; the portion of manual interference is reduced; effective measures are provided for increasing the operation efficiency and reliability of photovoltaic equipment, reducing system downtime, increasing operation and maintenance efficiency, as well as reducing the operation and maintenance cost, wherein the asset management of full life cycle provides scientific and credible information for financing, transferring and securitization of the photovoltaic power station.

The invention discloses a utility tunnel intelligent management system, which comprises a system maintenance module, an operation department service C / S management module, an operation department service M / S management module, a pipeline department service module, a data interface module, an intelligent decision-making support module and a unified database, and is characterized in that the system maintenance module is used for performing support management on a utility tunnel intelligent operation management platform; the operation department service C / S management module is used for performing management on a desktop terminal used by a utility tunnel operation department in the process of operating utility tunnels; the operation department service M / S management module is used for performing management on daily operation and maintenance services of the utility tunnels; the pipeline department service module is used for performing management on an operating system of a utility tunnel using department; the data interface module is used for performing data exchange with a utility tunnel inner bottom monitoring system; the intelligent decision-making support module is used for providing auxiliary decision-making support for utility tunnel operation management; and the unified database is used for storing data in full life cycle of the utility tunnels. The utility tunnel intelligent management system realizes intelligent operation management for the utility tunnels by using advanced information technologies, can avoid occurrence of major disaster accidents as far as possible, and promotes sustainable development of the utility tunnel operation work.

The invention discloses a method for controlling a yaw system of a wind turbine. Starting constraint conditions are established based on a full life cycle cost theory and by comparing yaw comprehensive cost and predicting the unit capacity after yaw to judge yaw maneuver under different working conditions, the contradiction between the wind turbine capacity and the losses of the yaw maneuver is eliminated, the service life of a yaw system is prolonged, and the maximization of the comprehensive benefit of the full life cycle of the wind turbine is achieved. According to the method, the wind speed, the wind direction changing rate, the wind direction changing angles and other factors are taken into consideration comprehensively, and scientific judgment is carried out on whether the yaw maneuver is necessary or not from the point of view of the economic optimality of the full life cycle when threshold value control requirements are met by predicting the increased capacity after yaw and combining cost analysis of the yaw maneuver.

The invention relates to a battery multi-model fusion modeling method based on a self-adaptive weight method and a battery management system. The self-adaptive weight method is used for calculating different models so as to switch model working modes based on different weights, it is ensured that output fusion models or selected models can work in an optimal mode under any usage condition, finally accurate and reliable prediction and tracking of key parameters and properties are achieved, and the overall quality of the control performance is improved. By deeply analyzing the precision, stability, calculated quantity, storage space and other property characteristics of different battery models under working conditions, multiple environments and multiple stages, online constantly updated multi-model fusion modeling is achieved, and the problem that accurate prediction of existing model properties is difficult to achieve for a battery system under internal and external factors such as full life cycle, uncertain and dynamic working condition and environments and single functions cannot meet all usage requirements is solved.

The invention discloses a method of comprehensively estimating reliability of a single-phase intelligent electric energy meter in a full life cycle. The reliability level of the intelligent electric energy meter is decided by design research, production, manufacturing, test, detection, operation, maintenance and other steps, and present reliability predication and reliability test are only based on a certain step. According to the method of the invention, reliability estimation on the intelligent electric energy meter is carried out from five aspects: reliability predication, initial reliability estimation, reliability test, accelerated degradation test and field data analysis, the life cycle of the electric energy meter is covered thoroughly, and a quantitative calculation method for determining two important time points for failure rate changes for a position of a dividing point between an early failure period and an accidental failure period and a position of a dividing point between an accidental failure period and a loss failure period on a failure curve.

The invention provides a real-time monitoring and dynamic management information platform for major industrial pollution sources in certain regions, and relates to the field of environmental management information technologies. The real-time monitoring and dynamic management information platform comprises foundation hardware, a system platform and a comprehensive database. The foundation hardware comprises a GIS (geographic information system) server, a data server, an application server, a network communication link and the like. The system platform which is an information platform comprises platform software and a functional module, and pollution source real-time monitoring, pollution source dynamic management, pollutant statistical analysis and auxiliary decision making modules and the like are developed by the functional module. The comprehensive database comprises a spatial database and attribute databases. The real-time monitoring and dynamic management information platform has the advantages that the major industrial pollution sources in the certain regions can be scientifically and effectively dynamically monitored and managed in full life cycles by the aid of the information platform, scientific bases can be provided for environmental management such as comprehensive management, emergency treatment, analytic decision making and law enforcement monitoring and management, and the widespread problems of deficiency of data sharing and compatibility, poor utilization rate, weak spatial analysis functions and the like of existing environmental information management systems can be solved.

The invention discloses an intelligent supervision system of the full life cycle of a power lithium battery. The intelligent supervision system comprises a power battery pack unit, a high-voltage control unit, a grouped battery management unit, a wireless transmission unit, a cloud management system and a user terminal. The power battery pack unit comprises a plurality of power battery pack sub units connected in parallel, each power battery pack sub unit comprises a plurality of single-group battery modules connected in series, and each single-group battery module comprises a battery pack, a sampling protection unit, a single-group battery management unit and an isolated communication module; the sampling protection units collect the batteries packs, the single-group battery management units calculate the health states and electricity quantity states of the battery packs and send the states to the cloud management system and the user client through the wireless transmission unit. The intelligent supervision system of the full life cycle of the power lithium battery has the following advantages that the battery packs can be managed independently, the use safety of the lithium battery packs can be improved, echelon-shaped recycling and utilization can be facilitated, and the effective utilization rate of the battery packs can be raised.

The invention provides a massive operation and maintenance implementation method and belongs to the technical field of product full-life-cycle operation and maintenance. In the method, in the perspective of a whole business system, according to log information of a host, a database, middleware and a business system related to the whole business system, massive logs are analyzed through big data, and function and performance problems, which possibly occur in software and hardware environments, of an information system are analyzed. Problems of the information system or even specific business functions in the levels of hardware, software and services are effectively monitored, the service capacity is enhanced, the overall operation and maintenance risk is controlled, and the operation and maintenance efficiency is improved.

The invention discloses a radar simulation system based on an XML (Extensive Makeup Language) schema. According to the invention, the system framework, interface specification and operation statute of the radar simulation system are defined through the high abstraction of the radar simulation system architecture and full life-cycle development. The radar simulation system comprises a radar simulation setting module, a radar simulation engine interface module, a radar simulation tool set module, a radar simulation model library module, a universal simulation mode library module, a radar simulation link library module, a radar simulation configuration module, and the like. Through the invention, the reuse, integration, and interoperation of the radar simulation model are facilitated, and the gradual refining, evolution, analysis and evaluation of the radar equipment demonstration simulation can be effectively supported.

The invention discloses an online big data intelligent cloud auditing method and system. The method comprises data acquisition, data processing, data analysis and data storage. During the data acquisition, basic data of cloud auditing are acquired according to auditing items, and the basic data are updated in real time, wherein the basic data include dynamic data associated with enterprises and market big data. During the data processing, the basic data are processed to obtain first data used for data analysis. During the data analysis, the first data are analyzed according to a corresponding auditing model according to auditing demands to obtain second data used for production operation decision management of service enterprises. During the data storage, the second data are stored in a distributed cloud storage mode for later calling. According to the online big data intelligent cloud auditing method and system, online auditing is realized; the dynamic data and the market big data are acquired through online search, so that online dynamic auditing is realized; and the data are processed by adopting the corresponding auditing model according to the auditing demands to obtain the data used for the operation management decision of the service enterprises, so that real-time and efficient services can be provided for full life cycle of the enterprises from enterprise benefits.

The invention provides a control system trusted architecture-based TPCM (Trusted Platform Control Module). The TPCM comprises an internal bus, a TPM (Trusted Platform Module) processing module, a program memory, a configuration memory, a data memory and an integrity detection unit connected with the internal bus, and a bus arbitration management unit. The invention also provides a TPCM-based trusted detection technology. The technology comprises trust chain generation and transfer of trusted equipment, integrity trusted detection of basic information of a trusted process in a trusted operation system and integrity and trustiness detection of an executable file loaded by the trusted process. The control system trusted controllable architecture and the trusted detection technology which combine functional safety and information safety, combine external defense and internal defense, and cover the design, operation and service full life cycle of hardware configuration, software programming, network communication, real-time operation, engineering maintenance and the like are provided, and the reliability, the safety, the real-time property, the usability and the maintainability of an industrial control system are guaranteed.

The invention discloses a power transmission and distribution equipment full-life cycle management system based on Internet of Things technology. The power transmission and distribution equipment full-life cycle management system comprises electronic tags, on-site monitoring and measuring devices, and management system software, wherein the electronic tags are mounted on power transmission and distribution equipment; the on-site monitoring and measuring devices integrate such functions as RFID (Radio Frequency Identification), GPS (Global Positioning System) all-weather real-time positioning, wireless communication, full status quantity measuring, information safety, industrial control and the like, and conduct real-time identification tracking, service data collection, intelligent diagnosis and state alarming of the power transmission and distribution equipment; the on-site monitoring and measuring devices conduct real-time data interaction with the management system software through Ethernet or other communication manners; and the real-time monitoring of the power transmission and distribution equipment is realized through modules of the management system software. The power transmission and distribution equipment full-life cycle management system realizes full-life cycle management of the power transmission and distribution equipment, enables the full life cycle of electric power equipment to be transparent, improves the equipment management efficiency, the transparency of power assets operation and data integrity, and brings application efficiency of the power equipment into full play.

The invention discloses a comprehensive detection method used for Webshell. The detection method is a high-order WEB file detection method which supports combination of multiple detection means, covers the full-life cycle of a website and can achieve pre-event detection, in-event warning and after-event tracing in order to solve the security problems of website Trojan embedding and website invisible back door implanting and perform website file security audit. Through installing a monitoring agent program on a WEB server, WEB file detection results are dynamically sent to a cloud management enter so that a comprehensive risk analysis can be performed on the results, and the cloud management center performs the comprehensive analysis according to data of multiple sources and establishes a statistics model for each file for dynamically detecting the changes of the files, so that WEB file risk management is achieved.

The invention relates to the technical field of energy internet planning, in particular to a game theory-based regional energy internet planning mathematical model and planning method, which comprisesthe following steps of: establishing a model of a distributed power supply, an energy storage system and a combined cooling heating and power system which are suitable for game theory planning and analysis; using A public energy operator, a service provider of distributed energy and a user as game participants, planning construction capacity, using pricing strategies and energy using behaviors asrespective decision variables, using the full life cycle income of equipment as earnings, and establishing different game models for regional energy internet planning; Establishing a specific game model under multiple modes according to the decision strategy of each participant; And carrying out solving through an iterative optimization algorithm, comparing and analyzing Nash equilibrium solutions under various game modes, and finally selecting the Nash equilibrium solution under the benefit maximization of all parties as a planning scheme of the regional energy internet.

The invention provides a system and method for fault prediction and on-line evaluation of health state of marine diesel generator, which includes a shell, a displayer, an alertor, a power supply and adata processing device, wherein the data processing device include a deep learning integration module, a full life cycle history database, and a fault multimodal expert system database. The deep learning integration module utilizes an integrated learning method, and includes multiple supervised and unsupervised deep learning network models. The fault multimodal expert system database includes allfault feature databases and corresponding fault category labels, and also comprises a memory, a GPU, a CPU, an external device control interface, a data acquisition module and a wireless signal transceiving device, and realizes automatic monitoring and evaluation of an equipment. The system has the advantages of more accurate and convenient fault prediction, state on-line monitoring and the health evaluation.

The invention provides an intelligent banking enterprise-level demand management system, comprising a keyword library building module, a demand entry module, a fingerprint creation module, an intelligent recognition module and a demand process management and control module. The keyword library building module creates multidimensional keywords according to banking business classification and demandtemplate contents and carries out keyword identification; the demand entry module splits a demand into various detail modules solidified in a demand management system for compiling; the fingerprint creation module creates corresponding fingerprint sequences for each demand list and a demand specification according to demand entries; the intelligent recognition module performs deep learning according to each fingerprint sequence to create a correlation model for subsequent automatic retrieval; the demand process management and control module comprises operations for each phase of a whole lifecycle of each demand, such as automatic recognition, retrieval, monitoring and displaying. The intelligent banking enterprise-level demand management system can provide full-life-cycle intelligent visual management for demand assessment, compiling, reviewing, alteration and the like.

The invention discloses a power supply optimal configuration method for a sea island type micro-grid. Firstly, each referred power supply in the micro-grid serves as a particle, referred power supplies of various types in the number xi serve as a group of particles, and a particle swarm is established; construction cost at the beginning of a planning period, the electric quantity Eti generated within the planning period, generated fuel cost Oti and operating maintenance cost Mti of each group of particles are obtained; secondly, whether the construction cost, the electric quantity Eti, the fuel cost Oti and the operating maintenance cost Mti meet set constraint conditions or not is judged, and if the construction cost, the electric quantity Eti, the fuel cost Oti and the operating maintenance cost Mti meet the set constraint conditions, fitness of the particle swarm is calculated through a current objective function; if the construction cost, the electric quantity Eti, the fuel cost Oti and the operating maintenance cost Mti do not meet the set constraint conditions, the fitness of the current particle swarm is adjusted by the adoption of a penalty function, and the optimal particle group is picked out according to calculation of the fitness of the particle swarm; after the optimal particle group is picked out, the optimal solution is outputted until set iterations are achieved, and thus power supply optimal configuration of the sea island type micro-grid is obtained. An algorithm of the particle swarm is adopted to solve most preferably power supply optimal configuration capacity, so investment cost of the micro-grid within a full life cycle is reduced, and stability of the micro-grid is improved.

The present invention belongs to the field of accelerated storage test methods in reliability and life tests, and especially relates to an accelerated storage test method for electronic equipment. The technical scheme of the accelerated storage test method is characterized in that: the accelerated storage test method makes a comprehensive stress accelerated storage test profile equivalent with one-year nature storage by combining comprehensive analysis for a full life cycle profile of an electronic product and considering influences of stresses such as transportation, temperature and humidity, the accelerated storage test method comprises four processes, i.e., packaging and transportation, storehouse storage, field work, and annual test, the accelerated storage test is performed under the profile, and the storage life of the product is verified according to the complete test time. The accelerated storage test method has the beneficial effects that: the accelerated storage test method is suitable for control system type of products, measuring type of products, and other types of electronic products in aerospace and vehicle-mounted electronic products; the profile covers prescribed environment conditions of storehouse storage and field work within the life cycle of the product, can verify the storage life of the product within short time and can motivate storage weak links, thereby providing data support for development and approval of the product.

The invention relates to the fields of micro-energy grid and distributed energy planning, provides a micro-energy grid multi-objective planning method considering a power-to-gas technology and renewable energy utilization, and has the guiding significance for micro-energy grid planning comprising a wind generator, photovoltaic, cooling, heating and power combined system, a P2GSS, a storage batteryand the like. The invention discloses the micro-energy grid multi-objective planning method based on the power-to-gas technology and renewable energy utilization; the method comprises the steps that(1) modeling of a micro-energy grid is carried out; (2) the whole life cycle cost of the micro-energy grid is calculated on the basis of a full life cycle method, wherein the minimum total life cyclecost, and the lowest annual carbon dioxide emission amount are taken as an optimization objective, and the influence of the electric refrigeration proportion and the electric heating proportion and other operation modes is considered, and a multi-objective optimization configuration method aiming at the capacity of the key equipment of the micro-energy grid is established; and (3) the multi-objective planning method for the micro-energy grid is provided through comparison of different scenes. The method is mainly applied to the micro-energy grid and distributed energy planning occasions.

The invention discloses a method for establishing a safety management view of a full life cycle of unstructured data. The method comprises the following steps: 1, recording data operation behaviors of an unstructured data file in various stages, namely creation, storage, use, transmission, destruction and recovery, and storing the data operation behaviors as log audit records; 2, reading the log audit records of the unstructured data file in various stages, namely creation, storage, use, transmission, destruction and recovery, and analyzing the data operation behaviors contrary to a safety strategy to generate an analysis report; 3, establishing the safety management view of the full life cycle of the unstructured data. The method disclosed by the invention can be used for tracing the full life cycle (creation, storage, use, transmission, destruction and recovery) of big data, and obtaining the evidence of the behaviors contrary to the safety strategy, so that the safety burst time, such as data leakage can be traced to the source, and the data monitoring accuracy and the data monitoring real-time property are improved.

The invention provides a cross-machine learning platform model definition protocol and configuration system, and relates to the field of artificial intelligence automatic machine learning. The systemcomprises a computational graph construction engine; a computational graph optimization engine; a cross-machine learning platform model definition protocol (Cross-Platforms Model definition Protocol);a computational graph encoding engine; a hyper-parameter recommendation engine; a protocol parsing engine; a model training process control assembly; a hardware information detection and configuration system. The system has the advantages that cross-platform machine learning network construction is achieved, the system is easy to use, and the machine learning maintenance threshold is lowered; machine learning network construction in a dragging mode is achieved, and the latest algorithm network can be iterated rapidly; a large number of algorithm models are provided, and machine learning and deep learning network construction under different scenes are supported; a parameter recommendation function is provided, and a lot of parameter adjustment time is saved; algorithm network constructionfrom data cleaning to model release full life cycle is provided, and the system can be directly put into production and use.

The invention discloses a collaborative design method based on SOA. The collaborative design method based on the SOA comprises the following steps of (1) creating a project on a client of an intelligent management server, (2) carrying out collaborative design embedded into a CAD design system, (3) carrying out drawing-document management, (4) carrying out delivery of a finished product, and (5) carrying out drawing change management on a construction site. According to the collaborative design method and system based on the SOA, the collaborative design is used for guiding, maximization of overall performance of large-scale cooperation serves as a target, a collaborative design integration platform is accomplished, the collaborative design of the core business process of design enterprises and seamless joint and integration of a plurality of systems in a large-scale cooperation system are achieved, monitoring of the full life cycles of the project schedule, resources, the workload, cost and the like is achieved, high-efficiency communication among professional designers in the design process is achieved, effective management of drawing versions is achieved, safe storage of archived drawings is achieved, and effective communication between the designers and site operation personnel in the construction process is achieved.

The invention discloses a data management system of electrical network equipment and a management method thereof. The system comprises an electrical network equipment data module, an electrical network three-dimensional model design module, an operation environment information integration module which is connected with the electrical network three-dimensional model design module, an equipment space relation module which is connected with the operation environment information integration module, and an electrical network data integration module which is connected with the electrical network equipment data module, the electrical network three-dimensional model design module, the operation environment information integration module and the equipment space relation module respectively. According to the invention, a data management method of an electrical network full life cycle is brought forward, and problems of dispersive data, various sources, inconsistent standards and the like in full life cycle management are solved. In the electrical network full life cycle management, electrical network full process information is subjected to intelligent management, and the electrical network full life cycle management runs through phases of system program, exploration design, construction, operation maintenance and equipment abandonment.

The invention provides an intelligent index establishing, inquiring and maintaining method supporting mass data classification and counting, and belongs to the technical field of big data processing. The method includes the step of establishing a data organization structure of intelligent indexes to make the intelligent indexes support mass data classification and counting, wherein the data organization structure of the intelligent indexes includes index metadata and index data, the index metadata is the basis for establishing the indexes and include classification column clusters and counting column clusters, and the index data is indexes for establishing original data. By means of the method, when data is written in, the intelligent indexes are established in real time in a memory, classification and counting are conducted through the intelligent indexes, and the intelligent indexes can be rapidly deleted. The indexes are automatically established for mass data in real time; when mass data is classified and counted, the I / O and calculating time of a magnetic disk is greatly shortened, and therefore classification and counting efficiency is improved greatly, and the full life cycle of index data is automatically managed.