310 results about "Load analysis" patented technology

The proposed system defines a predictive real-time Service Level Agreements (SLAs) monitoring system by (a) a detailed analysis of traffic flows with reduced monitor-data flow across network; and (b) a suitable combination of offline and real-time processing of historical and current traffic data. In order to be able to undertake a detailed analysis without significantly impacting the network throughput, the system analyzes the historical traffic patterns of a typical Provider's network to determine a set of critical SLAs. An in-depth analysis of traffic is performed by creating a unique network parent probe for every critical SLA and the parent probe spawns an optimal number of intelligent master and slave probes based on a regionalization procedure. The online overload monitoring system analyzes the gathered data from the master and slave probes to (a) forecast future violations of the SLA under consideration based on multiple forecast models and (b) generate operator SLA violation alarms.

The invention relates to a load analysis method for a four-wheel six-component road spectrum of a finished automobile. The method comprises the following steps: 1 testing a four-wheel six-component road spectrum of a finished automobile; 2 collecting the design data of the finished automobile; 3 building and adjusting a dynamic model of the finished automobile; 4 carrying out virtual iteration; 5 obtaining Z-direction displacement of a wheel center; 6 decomposing the load of the finished automobile; 7 processing the load result. The six components of four wheel centers of the finished automobile are directly measured as external road excitation input; the actual stress condition of each wheel center under the typical characteristic road excitation of test site reliability is reflected; the technical effect of obtaining the load of the finished automobile system and spare parts is realized by a virtual iteration technique and a dynamics simulation technique; the anti-fatigue performance of the finished automobile structure can be accurately predicted and optimized at the earlier stage; problem rectification of the sample automobile stage is reduced; the research and development cycle is shortened; the research and development cost is also reduced.

An analysis of a communication configuration in a process control (PC) or substation automation (SA) system is disclosed, wherein network messages, and/or respective message sources, configured for transmission across a communication network of the system can be evaluated. From a logical data flow description that is part of a standardized configuration representation of the PC or SA system and which includes, in the form of control blocks, formal information for every message, receiver intelligent electronic devices (IEDs) can be retrieved or determined. For each retrieved receiver IED, the totality of all network messages destined for or directed to this particular receiver IED can be evaluated or processed (e.g. in view of a subsequent network load analysis, virtual local area network assignment, or graphical display of the data flow). Exemplary network messages of interest include cyclic point-to-point reports, periodic or repeated real-time multicast messages (Sampled Values SV) and event-based multicast messages (generic object oriented substation events GOOSE).

A nip characterization system which has as inputs the pressure applied to the nip by the hydraulic loading devices, and loads applied at the end bearings and/or the loads applied to the roll support beam, and in addition directly measures nip load, has more than sufficient information to completely characterize the nip.

The invention discloses a central air-conditioning energy-saving control system and a control strategy thereof. The control system comprises a room load analysis module, an air volume control module, a chilled water flow control module, a cooling water flow control module, a cooling tower control module, an indoor temperature sensor group, a chilled water temperature sensor group, a cooling water temperature sensor group, an outdoor temperature/humidity sensor, a chilled water system terminal device, a cooling water system terminal device, an air system terminal device, connecting devices between various devices and a control cabinet for storing various data processing control modules. The control strategy directly directs regulation and control of the system according to room load change, involving calculating room load fluctuation according to room temperature change and converting the room load fluctuation into a real-time air volume regulating variable, a real-time chilled water flow regulating variable and a real-time cooling water flow adjusting variable. A water supply/return temperature distance control mode is a monitoring way for maintaining normal operation of the system. The system of the present invention is compact in structure, high in automation degree, high in intelligence degree, and stable and reliable in operation.

The invention discloses a message service type identifying method and a message service type identifying device based on a data processing installation (DPI). The method comprises the following steps of 1. matching session information of service messages with session records in a session record chart; acquiring the corresponding service types from the session record chart if the session information is successfully matched with certain one of the session records; executing a step 2 if the corresponding service types cannot be acquired from the session record chart; and building the corresponding session records in the session record chart if the session information is not successfully matched with certain one of the session records and executing the step 2; 2. matching the session information of the service message with relevant records in a relevant record chart; acquiring the service types corresponding to the relevant records from the relevant record chart if the session information is successfully matched with certain one of the relevant records; and executing a step 3 if the session information is not matched with certain one of the relevant records; and 3, performing deep load analysis on the session information of the service message to acquire the service types of the service messages.

Systems and methods for using comparisons of empirical system data, (e.g., performance, accounting, software module or function frequency), for testcase and workload profiling are provided. Instead of asking a customer what he does, simply asking for some set of empirical data that can be formatted, reduced, and analyzed. By gathering the same kind of data for the test systems that is used by the customer, testcases and workload profiling are improved by making comparisons between the customer data and the test data in an iterative process. The iterative processes change test data and compare not only customer data with test data but also compare data from prior iterations with current data. There is a feedback loop for providing a comparison of how close or distant the testcases and workload profiling are from customer-like data and workloads in a particular test.

The invention provides a method for predicting electric quantity of a large-scale distribution network based on regional load analysis, and belongs to the field of power grid planning. The predicting method comprises the following steps of: dividing power supply regions; selecting a power supply region; calculating correction coefficient; performing electric quantity prediction on the selected power supply region; and predicting the electric quantity of the distribution network according to the electric quantity prediction result of the selected region. The method is high in precision, quick in calculation, strong in actual operability, simple in principle and good in flexibility; the method greatly reduces the workload of electric quantity prediction data acquisition and analytical calculation of the large-scale distribution network, and can be applied to electric quantity prediction of large-scale distribution networks of all regions in China; and by dividing the power supply regions and analyzing the load of each power supply region, the economic development patterns and the load development characteristics of the power supply regions can be better grasped, and important basis is provided for formulating more focused power grid construction schemes.

A method for generating three-dimension models and extracting data therefrom are provided. According to an exemplary embodiment of the present invention, a layout for interior configuration is received and critical dimensions are extracted from the interior configuration for the placement of seats. Seat dimensions for each of the several seat part numbers augment the extracted critical dimensions from the interior configurations. Assignment of part numbers to an appropriate location within the configuration enables generation of a three-dimensional solid model for testing in accord with known rules defining interference. Additionally, a seat installation drawing for direction to seat installers is generated, cable lengths for wiring runs are calculated, and a load analysis for the seat configuration is generated demonstrating FAR compliance.

The invention provides a centralized intelligent dispatching method for charging a plug-in hybrid electric vehicle (PHEV), which belongs to the research field of power system demand side response and is especially suitable for a plug-in hybrid electric vehicle (PHEV) of peak load regulation. The invention is established on the basis of a dynamic estimation interpolation concept, and mainly comprises the following parts: real-time information extraction, PHEV dynamic cataloging, load per-unit transformation, boundary condition detection, singular load analysis, load estimation interpolation, load index evaluation and charging cost calculation. The invention can dynamically dispatch the charging time periods of the PHEV, thereby effectively reducing the risk and hidden danger which are brought by the load singularity of the grid side, indirectly lowering the investment into newly arranged generating equipment at the grid side and saving the charging cost at the user side, and realizing the purpose of benefiting both the grid side and the user side.

The invention provides an automatic generation method for power supply transferring scheme in distribution network with substation voltage loss. The method comprises the following steps: S1: basic data acquisition, a data interface is established with each major related system, related data information is acquired; S2: data processing and analysis, the data in S1 is combined to generate the powersupply transferring scheme for transferable distribution network lines, the 10kV bus series power supply scheme for nontransferable distribution network lines, load analysis of power supply transferring for the main substation and main network lines affiliated by the side distribution network lines, and influence analysis on important users by the substation voltage loss and plan support; S3: datadisplay in all directions.

This invention provides one method and system to realize application system dynamic updating, which comprises the following steps: loading analysis added business module; reading added business module description information and forming independent type loading device for business module; getting new business part information from load device to form parts and to align parts. This invention example in JAVA environment establishes independent type sum device through forming front end controller, part manager and type space.

The invention relates to a system, device and method for handling a configuration request. The system comprises a plurality of auto-configuration servers and an auto-configuration server management device communicatively coupled to the plurality of auto-configuration servers. The auto-configuration server management device is arranged for communication over the network with a manageable electronic device, and is arranged for receiving the configuration request from the manageable electronic device. One or more auto-configuration servers that can handle the configuration request are identified based on the identification of the manageable electronic device. The load of the one or more identified auto-configuration servers is analyzed, and based on the load analysis, an auto-configuration server is selected as destination address for the configuration request. The invention improves the configuration of customer premises devices.

The invention discloses a load forecasting management system based on an electric power system. The system includes a management module for managing basic information data, a load analysis module usedfor load correlation property analysis, a load forecasting module used for supporting multi-forecasting-mode comparative analysis and intelligent selection, a load forecasting assessment module usedfor counting and analyzing load forecasting accuracy rate, and a data exchange management module used for timing and time-limited reporting of dispatching forecasting data step by step. The system establishes a complete short-term load forecasting theoretical system and a well-designed short-term load forecasting strategy, establishes a complete short-term load forecasting method base, and provides an efficient load forecasting method.

The invention relates to a virtual memory system and a method thereof. The system comprises main cache, prefetch cache, a load analysis module, a data prefetch module and a cache replacing module, wherein the load analysis module is used for collecting application load reaching the system, analyzing to obtain the relational information of data blocks of the application load and sending out the relational information of the data blocks; the data prefetch module is used for receiving the relational information of the data blocks and forecasting data accessed by application program according to the relational information of the data blocks; the data is to be accessed and is prefetched into the prefetch cache from a low speed memory device; the cache replacing module is used for receiving the relational information of the data blocks as well as input and output request of an application layer, looking up and reading the corresponding data in the main cache, the prefetch cache and the low speed memory device, forecasting the probability of the data blocks which are prefetched according to the relational information of the data blocks and storing the data blocks into the corresponding place of the main cache according to the probability. The invention has self-adaption for complex application environment and can be regulated according to the change of the applied load.

The present invention belongs to the field of energy technology design and particularly relates to a multi-energy technology quantitative screening method. The multi-energy technology quantitative screening method comprises the following steps of: (1) establishing a model and a database; (2) carrying out load analysis; (3) carrying out technology quantitative screening; and (4) carrying out technology integration and outputting a technical scheme. The multi-energy technology quantitative screening method disclosed by the present invention has the following beneficial effects that (1) the technology integration degree is high and technologies in the fields of power generation, air conditioning refrigeration, heating and the like are covered; (2) single technology design and multi-technology integration optimal design can be realized; (3) equipment selection, energy consumption analysis, investment estimation, economic evaluation and the like of a technology integration system can be realized; and (4) performance evaluation of technology integration on two aspects of economy and the environment can be realized.

The invention relates to a method for processing computer-assisted network load analysis information, which comprises the following steps of: (1) before load analysis, acquiring various types of load data to be stored in a data theme planning database in a raw data server; (2) collecting the data in the data theme planning database through a data acquisition unit; (3) in a data checker, effectively checking the collected data, judging whether the data is effective or not, if not, recollecting the data; (4) storing the checked data into a special load analysis database in a data analysis server; (5) preprocessing the data in the special database; and (6) processing and displaying the well preprocessed load data according to classification. Compared with the prior art, the method has the advantages that the working efficiency is improved, users are facilitated to real-timely analyze the load data, the variation of the load data is real-timely mastered, and the like.

A method for dynamic load profiling in a power network can include receiving static load data in the power network, generating a load forecast from the static load data, generating dynamic load data from data related to distributed assets in the power network and modifying the load forecast based on the dynamic load data for profiling the dynamic load data.

The invention relates to a comprehensive method for conducting an energy efficiency building design in a digital simulation mode. The method includes the following steps that the building size is determined according to the influence of the physical environment where a building is placed; the physical environment inside the building is simulated, and the internal pattern of the building is determined according to the influence of the physical environment inside the building on heat inside the building; the outdoor neighboring environment of the building is simulated, and the external field environment is planned; the building size, the internal pattern of the building and the external field environment are comprehensively considered, ecotect software is used for making annual air conditioning cooling and heating load analysis, energy consumption simulation is carried out on the building, and the energy efficiency effect is analyzed and judged; if the energy efficiency effect reaches a target value, an energy efficiency architectural design scheme can be determined accordingly, and a passive energy efficiency building is obtained. According to the method, on the premise that power machines are not used or energy consumption is little, wind, light and heat environment regulation of the building can be achieved, the perfect combination of art and technology is realized, and the design of the passive energy efficiency building accords with China actual conditions.

The invention discloses a method and device for protecting a traction feeder line of a single-phase power-frequency alternating-current electrified railway. The device comprises a protection function module, an auxiliary function module, a measuring and controlling module, a locking module and a communicating module; wherein the protection function module comprises a four-section distance protection unit, a current quick-breaking protection unit, a low-voltage overcurrent protection unit, a high-resistance section I protection unit, a voltage-loss protection unit and the like; in addition, the auxiliary function module comprises a broken-line alarm unit, a fault ranging unit, a harmonic analysis unit, a load analysis unit, a self-checking unit, a fault recording unit and a GPS (Global Position System) time synchronizing unit; in addition, the measuring and controlling module comprises a remote metering unit, a remote signaling unit and a remote controlling unit; in addition, the locking module comprises an opening/closing locking unit and a locking reclosing unit; in addition, the communicating module comprises an RS485 interface, a selectable FDKBUS, an optical fiber FDKBUS and an Ethernet interface; in addition, a method for the four-section distance protection unit to recognize faults comprises the steps of: data preprocessing, network training and parameter generating, comprehensive judging and outputting.

The invention discloses a system for monitoring the running of an oil extractor in an oil field. A motor protector is arranged at a driving motor of the oil extractor, and a host computer is arranged in a centralized monitoring center, wherein wireless signal transmitting/receiving units are arranged on the motor protector; and the host computer compares received state changing rules of running current parameters of the driving motor, remotely reads the running current parameters of the driving motor to perform comparison, and judges various faults. Preset values and preset changing rules of the running current parameters of the driving motor can be obtained from curves in an oil well indicator diagram or from load analyses in a four-stroke process of the oil extractor. A 'one-to-many' wireless signal transmission network structure is adopted between a wireless signal retransmitting/relaying unit and each wireless signal transmitting/receiving unit; and wireless signals of a plurality of the wireless signal transmitting/receiving units are uploaded to the host computer. A GPRS wireless communication network is adopted between the wireless signal retransmitting/relaying unit and the host computer to perform data transmission so as to transmit the wireless signals to the host computer.

The invention relates to an automatic judgment method for over-load operational feasibility of a transformer. The method comprises the following steps of: (1) acquiring meteorological data of an environment where the transformer is positioned, equipment parameters of the transformer and operation state data of the transformer; (2) calculating hot spot temperature of the transformer through a thermal circuit calculation model according to data acquired in the step (1); (3) performing pre-cooling analysis, over-load analysis and radiating analysis on the transformer according to the hot spot temperature of the transformer; (4) acquiring operation current of a switching circuit, performing distribution calculation on the operation current and judging whether switching operation current exceeding an upper limit value exists; (5) analyzing the state of the transformer according to the operation state of the transformer; and (6) judging whether over-load operation of the transformer is feasible according to an analysis result. Compared with the prior art, the method has the advantages of high reliability, capability of effectively solving the problem that whether the transformer in production and scheduling of a power grid is allowed to operate in an over-load state, and the like.

Disclosed is a load dynamic control and analysis method capable of being applied in smart power grids. The method comprises the steps of communication network analysis, wherein communication network performances of smart power grids are analyzed according to periodic transmission data of loads and combined with data acquired in real time to obtain performances of factors affecting performances of smart power grids at present; establishment of dynamic load analysis and control models, wherein corresponding dynamic load analysis and control models are established according to obtained load information and communication network performances, and load current data and stored historical data are analyzed to precast future power utilization conditions of loads; and load processing, wherein power allocation of loads are optimized and controlled based on the dynamic load analysis and control module predicted results.

The present invention provides a province-city-county integration-based bus load prediction management system and method. The system comprises a bus data interface module used for acquiring, reading and reporting a bus load prediction result and the historical load data, obtaining the basic data to extend from a system level to a medium-low voltage bus level, and refining the inclusion mastery power grid load characteristics of the bus load nodes; a basic information management module used for managing the basic data of a plurality of time periods of the buses, detecting and correcting the basic data, and determining the influence of the system network topology structures, the historical load or relevant factors on the bus load; a bus load analysis and prediction module used for carrying out the regularity analysis on the bus load of a power grid according to the basic data, and predicting the bus load prediction result according to the basic information managed by the basic information management module; an examination module used for examining and evaluating the province-city-county integration-based bus load prediction management system. According to the present invention, the refined management of the power grid and the scientific and intensive electric power system scheduling can be realized.