257 results about "Medium term" patented technology

A system and method for providing backstop liquidity for an extendable commercial paper issue used to finance asset-backed securitization transactions through an up-front commitment from a highly rated entity to purchase fixed-income securities. A conduit that issues extendable commercial paper backed by a plurality of asset securitization transactions obtains a triple-A rated guaranty for each of the plurality of asset-backed securitization transactions and secures an up-front commitment from a highly rated backstop provider to purchase fixed-income securities to be issued in the future by such conduit (or an affiliated conduit) to retire such conduit's outstanding extendable commercial paper in the event that the conduit is unable to retire such commercial paper before the end of its extension period. The extendable commercial paper includes secured liquidity notes (SLNs) and the fixed-income securities include asset-backed medium-term notes (MTNs).

The invention discloses a medium-term and long-term combined power generation optimal scheduling method and a medium-term and long-term combined power generation optimal scheduling system in a cascade reservoir group. The method comprises the following steps that: S1, a scheduling server establishes and stores three medium-term and long-term optimal scheduling models, namely a model of largest cascade power generation capacity, a model of largest cascade power generation capacity which gives consideration to guaranteed output, and a model of largest cascade energy storage; S2, the scheduling server selects an optimal medium-term and long-term optimal scheduling model according to a power generation optimal objective; S3, a data acquisition device acquires materials required for solving the models, and the scheduling server solves the medium-term and long-term optimal scheduling models by selecting algorithms; and S4, the scheduling server generates and outputs a medium-term and long-term power generation scheduling optimal scheme. By the method and the system, the phenomenon that a large quantity of optimization variables and constraint conditions of cascade reservoir optimal scheduling influence computational efficiency and result reasonability can be avoided; and an optimal medium-term and long-term combined power generation optimal scheduling scheme is obtained.

The invention discloses a real-time prediction method of mine gas concentration in short and medium terms based on radial basis function neural network integration. The method comprises the following steps of: taking mine gas concentration data as a chaotic time series to construct a plurality of prediction sub-models of radial basis function (RBF) neural networks, and taking a weighted mean of synchronous prediction results of all prediction sub-models as an integrated prediction value to realize prediction model initializtion of RBF neural network integration; then realizing prediction of the gas concentration in the range of from a short term to a medium term through setting an integrated capacity parameter (the integrated capacity parameter is also equal to an RBF network prediction step-length); and obtaining a new prediction sub-model by utilizing an incremental training mode aiming at the characteristics that gas concentration information is continuously collected, and realizing updating of the RBF neural network integration according to a first in first out queue sequence so as to improve real-time prediction precision of the gas concentration, therefore, a proper compromise can be obtained between prediction range and prediction precision requirements, and the technical requirement on a mine gas information management system is satisfied.

The invention discloses a method for forecasting the silicon content in blast-furnace hot metal, which comprises the steps of data parameter selection, pre-processing, prediction algorithm, result output and operation guidance. In the step of data parameter selection, five parameters such as short-term mean value of the silicon content, medium-term mean value of the silicon content, long-term mean value of the silicon content, tuyere theoretical combustion temperature corresponding to the previous hot metal and sulfur content in the previous hot metal are adopted, and the silicon content is predicted through the prediction algorithm. When the furnace condition fluctuation is small, an average line system is mainly used; and when the furnace condition fluctuation is large, the tuyere theoretical combustion temperature and the sulfur content in the previous hot metal are automatically added. In the invention, less data parameters are adopted, better forecasting precision is obtained andthe forecasting correctness of the silicon content in the blast-furnace hot metal is improved.

Mechanical, electronic, algorithmic, and computer network facets are combined to create a highly integrated advanced sensor that monitors the gas density, state-of-repair, and events associated with switchgear. Measurements of gas pressure, atmospheric pressure, gas temperature, are used with models of the non-ideal behavior of a particular gas to realistically estimate gas density. A hierarchical system of signal processing optimizes measurements working within high-frequency, real-time, short-term, medium-term, diurnal, long-term, and historical timeframes and overcomes measurement errors present in real-world applications. The time at which a condition such as gas density will reach a particular level is calculated. Events such as threshold attainments and switchgear operation are detected. A large memory stores all raw data values allowing flexible re-processing and verification at any future time. Instantaneous as well as logged information is communicated in convenient formats over a selected digital network. An embedded web server provides a familiar graphical user interface.

The invention discloses a method for autonomously and continuously planning satellite tasks. The method comprises the steps: enabling a satellite to calculate executable tasks entering into a set G at a certain moment according to a satellite track and a target control region set G; enabling the tasks to be divided into a long-term task, a medium-term task and a short-term task through a hierarchical planning method; and judging whether the tasks can be set into a new task set P' or not according to a current state set S of the satellite. If there is resource conflict in the execution of a plurality of tasks, the conflict removal is carried to according to a preset rule. A current task set P is updated and remains consistent with the new task set P', and the short-term tasks, which arrive at the starting time, in the current task set P are extracted and sent to a real-time system for execution. Finally, a set G and a set S are updated. The method achieves that the satellite accurately senses the state and an external environment and is controlled to autonomously complete various types of task without depending on external control and information injection, improves the autonomous working capability of the satellite, and reduces the risk that a critical fault happens to the satellite.

The invention relates to a batch-to-batch optimization method of a batch process by combining a medium-term correction strategy. The method comprises the following steps: firstly establishing a quality variable predictive model of an NLPLS, and carrying out prediction on final product quality according to control operation variables of the process; on the basis of the model, calculating an optimal control strategy and implementing the optimal control strategy on a practical device; adopting a recurrence algorithm to carry out updating on the original NLPLS model according the newly-obtained data and old model parameters after each batch is finished; then solving the optimal control strategy again and implementing the optimal control strategy on an object; generally, after several batches, leading the control strategy to converge a satisfactory solution; and simultaneously, in order to process the interference in batches, adopting the medium-term correction strategy, utilizing new information obtained by the current batch to carry out correction on the latter control strategy. The method combines the batch-to-batch optimization and the medium-term correction strategy, makes up the insufficiency that the traditional batch-to-batch optimization method can not process the interference in batches and improves the control performance.

The invention discloses a hydrologic forecasting method of hydrologic model combination of different mechanisms, which comprises the following steps: configuring three or more than three kinds of medium-term hydrologic forecasting models meeting the current basin characteristic according to the basin characteristic, wherein the medium-term hydrologic forecasting models comprise a physical concept model and a system analysis model; calibrating model parameters with highest comprehensive precision aiming at each kind of hydrologic forecasting model rating by adopting hydrologic historical data about 10 years; configuring different forecasting combined schemes at each forecasting time, wherein the combined model is formed by combining the hydrologic physical concept model and the system analysis model, and the combined mode adopts weight coefficient combination and model combination; selecting the historical hydrologic data before the forecasting time for automatically optimizing the combined parameters of the combined model, and carrying out early trial forecasting calculation according to the optimized parameters; and automatically evaluating the trial forecasting calculation result of each combined scheme to acquire the current optimal combined mode to be applied to the current hydrologic forecasting. The invention can well describe the current medium-term inflow characteristic and improve the medium-term forecasting precision.

The invention encompasses a mobile, expandable shelter intended to provide medium term housing to disaster victims. The invention minimizes moving parts so as to make the shelter more structurally sound and allows full deployment by two people in less than ten minutes without the use of a motor to supply hydraulic, pneumatic or electric assistance. This shelter will maximize space by offering the unique feature of side shells that slide over the base structure not out of the base structure.

Video surveillance systems are used in a multitude of applications in order to monitor large areas. Such video surveillance systems customarily include a plurality of fixed-mounted cameras that record relevant surveillance scenes and a central surveillance station in which the video sequences of the cameras are brought together. Often, the evaluation of the assembled video data is performed by surveillance personnel. As is known, the surveillance activities of surveillance personnel are very fatiguing, which is why possibility that important events in the surveillance scenes may be overlooked cannot be ruled out. For this reason, it has long been common practice to use known image-processing algorithms for automated evaluation of video sequences. An image-processing device is proposed for carrying out an object segmentation in which the object segmentation is executed and/or is executable through comparison of a camera image to a scene reference image of a surveillance scene, equipped with a learning device for generating the scene reference image; the learning device is embodied to generate the scene reference image through evaluation of a medium-term and/or long-term observation of the surveillance scene

• a) that extends over a time period of longer than one day, preferably longer than several days, in particular longer than 1 week, and/or
• b) that extends over a time period that includes several states of the surveillance scene.

The invention discloses an anti-collision radar device of a navigation mark, which comprises a lamp, a global positioning system (GPS) positioning meter and an electrical strain monitoring device. The anti-collision radar device of the navigation mark is characterized by further comprising a radar detection device, a camera, a radar signal processor and a wireless data transceiving device. Radar signals sent back by the radar signal processor is judged and processed by control of a single chip microcomputer; when a ship is at a primary early-warning distance, a primary early warning is carried out; when the ship is at a medium-term warning distance, the camera is started to begin to take photos of a dangerous ship and obtain evidences, and early warning is carried out once again simultaneously; and when the radar detection device detects the fact that a collision distance between the ship and the navigation mark is reached, the camera continuously takes photos of the dangerous ship until the dangerous ship is far away from a warning area. The anti-collision radar device has the advantages that the size of installed equipment is small, and the influence on the structural shape and floating conditions of the navigation mark is small. Besides, the anti-collision radar device is installed on the basis of an original navigation mark, is convenient and concise, saves fund, and is suitable for wide popularization in the field of the navigation marks.

The invention discloses Chinese medicinal liquor and particularly discloses Chinese medicinal liquor for treating rheumatic and rheumatoid arthritis and a preparation method thereof. The Chinese medicinal liquor for treating the rheumatic and rheumatoid arthritis is characterized by being prepared from the following components: Chinese angelica, Szechuan lovage rhizome, cassia twig, dahurian angelicaroot, incised notopterygium rhizome, divaricate saposhnikovia root, root of largeleaf gentian, clematis root, processed common monkshood mother root, processed kusnezoff monkshood root, papaya, medicinal cyathula root, tall gastrodia tuber, liquor garter snake, coix seed, safflower, fried peach seed, himalayan teasel root, turmeric, yellowmouth dutchmanspipe root, processed atraotydin, vinegar armadillo and earthworm. The Chinese medicinal liquor is specially used for treating the rheumatic and rheumatoid arthritis, has clinical application safety, treats both principal and secondary aspects of diseases, does not stimulate internal organs after being orally taken, has quick response, is safe and reliable, can make a patient have early recovery, medium-term control and late relief, and has the better effects of treating the rheumatic and rheumatoid arthritis and neck-waist-limb pain or relieving the symptoms. The Chinese medicinal liquor totally treats 580 patients, and the total effective rate reaches 97 percent.

The invention discloses an apple preservation method and belongs to the field of fruit and vegetable preservation. According to the method, apples are preserved and stored through the steps of pre-harvest treatment, post-harvest treatment, soaking treatment and storage in a fresh-keeping storehouse. Through adoption of the method, the apple quality can be effectively kept, and the apple storage period can be prolonged; the method is practical and flexible, and thus can be adopted for short-term, medium-term and long-term storage; apples which are subjected to post-harvest treatment but not subjected to follow-up treatment can be preserved and stored in a short term; apples which are subjected to soaking treatment and storage in a fresh-keeping storehouse can be preserved and stored in a medium and long term; apples which are subjected to soaking treatment, modified atmosphere packaging and storage in a fresh-keeping storehouse can be preserved and stored in a long term.

The invention discloses an electric corn medium-term fertilizer distributor which comprises a main frame and an electric motor rack, wherein a fertilizer can is installed on the main frame, the left side and the right side of the lower part of the fertilizer can are respectively provided with a fertilizer apparatus, hoppers and fertilizer pipes are respectively arranged below the discharge ports of the fertilizer apparatuses, and the lower ends of the fertilizer pipes are respectively connected with a furrow opener; the main frame is fixedly connected with the electric motor rack at the front end through pins, a storage battery, an electrical motor and a controller are fixedly installed at the front end of the electric motor rack, and handles are fixedly installed on the side plates at the two ends of the electric motor rack; chain wheels which are installed on a transmission gear are connected with the mounting shafts of the fertilizer apparatuses which are arranged below the fertilizer can through a chain and a clutch, and the two ends of the mounting shafts of the fertilizer apparatuses are respectively provided with a fertilizer amount regulation flange which is connected with the fertilizer apparatuses; and driving wheels and the mounting shafts of the fertilizer apparatuses are driven by the electric motor to operate, and the electric motor is supplied with power by the storage battery. The electric corn medium-term fertilizer distributor is reasonable and reliable in structural design, utilizes the electric motor to provide power, has no pollution, is low in noise, and ensures the fertilizing depth and fertilizing amount of the corn growth medium-term fertilizing.

The invention discloses an oil reservoir division and comparison method based on high resolution sequence stratigraphy. The oil reservoir division and comparison method comprises the steps of: identifying medium-term base level cycles based on rock cores, drilling/logging seismic data, high resolution sequence stratigraphy, base level cycles and an admissible space change principle, by means of the change trend of an A/S value; dividing and comparing oil groups by interfaces and flooding surfaces of the identified medium-term base level cycles; based on the drilling/logging seismic data, the flooding surface and conversion surface of the change of a reference surface, identifying short-term base level cycles, and dividing and comparing sand groups; according to the identified superposed modes of short-term base level cycles, establishing an isochronous stratigraphic framework by means of comparison; and according to the stratigraphic framework, controlling division and comparison small layers under the control of the cycle and stratum superposed modes. The oil groups, the sand groups and the small layers are included in an oil reservoir division and comparison unit. According to the invention, the oil reservoir division and comparison method solves the problem in the prior art that a diachronous phenomenon usually occurs in the comparison process.

The invention relates to a hydraulic and hydroelectric engineering construction diversion risk analysis technology and aims at overcoming the shortcomings of a traditional high rock-fill dam medium-term food season water retaining risk rate detection technology, providing a novel high rock-fill dam medium-term food season water retaining risk rate detection method, accurately and reasonably quantifying the medium-term food season water retaining risk rate and providing important basis for food season security risk assessment, construction schedule formulation and the like. The uncertainty of flood prevention food season elevation is considered in the method, and a high rock-fill dam project medium-term food season water retaining risk rate mathematical model is established. The uncertainties of shutdown day number and the daily average rising speed each month are considered, and a simulating calculation model of a dam body flood preventing flood season elevation is established. The randomness of the daily average rising speed each month is subjected to quantitative analysis. The randomness of hydroelectric, hydraulic and filling construction is comprehensively considered, and the water retaining risk calculation process is provided by coupling risk elements based on a Monte-Carlo method principle. The high rock-fill dam medium-term food season water retaining risk rate detection method is suitable for high rock-fill dam medium-term food season water retaining risk rate assessment.

The invention discloses a real-time load regulating method for a power grid using a hydro-thermal power working condition self-matching mode. The real-time load regulating method includes that calculating the difference delta P between the real-time released load of the power grid and the planning load of the previous day, confirming a hydro-thermal power load regulating principle according to the current scheduling period of a cascade hydropower station, under the constraints of a water level running control range established at the medium-term scheduling and a thermal power output bandwidth, regulating the hydro-thermal power output in real time according to the hydro-thermal power load regulating principle, delta P and the final water level of each time period of the hydropower station, making a hydro-thermal power output plan, and under the constraints of running water level, discharged volume and time period water level/flow rate change amplitude, optimally distributing load between cascade hydropower stations according to the traditional maximum energy storage target according to the hydro-thermal power output plan. The real-time load regulating method for the power grid using the hydro-thermal power working condition self-matching mode meets the working condition requirements of different periods of the cascade hydropower station and is capable of giving consideration to the stability and economical efficiency of the power grid.

The invention discloses an electric power system static security assessment method considering wind speed correlation. According to wind speed historical data, cut-off pair copula is used to realize wind speed modeling with non-linear correlation; then according to fan power characteristics, electric power system quick static security assessment is realized. The electric power system static security assessment method can be used for processing wind speeds with any probability characteristics in an electric power system and is suitable for quickly assessing the influence of connected wind power plants on the static security of the electric power system in medium-term and long-term plans.

The invention relates to a combined device for synchronous denitrification and methanogenesis as well as autotrophic nitrogen removal of landfill leachate and a method thereof. The device is provided with an integrated water tank, a synchronous denitrification and methanogenesis reactor, an A/O shortcut nitrification reactor, a settling tank, and an anaerobic ammoxidation reactor. A mixed solution of stock leachate and an effluent reflux liquid of the anaerobic ammoxidation reactor firstly flows into the synchronous denitrification and methanogenesis reactor, the effluent of which then flows into the A/O reactor for shortcut nitrification and denitrification, and the effluent of the settling tank flows into the anaerobic ammoxidation reactor. The outlet pipe of the synchronous denitrification and methanogenesis reactor is connected to the anaerobic ammoxidation reactor. The method consists of the steps of: starting the synchronous denitrification and methanogenesis reactor, starting the A/O shortcut nitrification reactor, starting the anaerobic ammoxidation reactor, and bringing the three reactors into series operation. The device of the invention is suitable for removal of COD (chemical oxygen demand) and nitrogen from early and medium term landfill leachate of landfills, and has obvious advantages of energy saving and consumption reducing.

The invention provides a quick seedling cultivation method for paris polyphylla. The quick seedling cultivation method comprises the following steps: selecting and preparing land, constructing an arched shed, making ridge, collecting and producing seeds, sowing the seeds, covering the ridge surface with a thin layer of dried pine needles, performing a series of medium-term managements, and the like. A seedling cultivation technology program is simple and very easy to execute; moreover, the cost is very low and resources are greatly saved. By utilizing the quick seedling cultivation method, the root growth speed and the seedling emergence speed of the paris polyphylla are high, 80% of the seeds grow roots 30 days after being sowed and emerge seedlings on March in the second year, and the knowledge that the seeds of the paris polyphylla emerge the seedlings in the third year only is broken thoroughly. The quick seedling cultivation method is very outstanding in effect and worthy of all-round popularization.