33results about How to "Reasonably formulated" patented technology

A power load forecasting method comprises the following steps: steps 1, trialing all annual load characteristic indexes and a plurality of influence factors and establishing quantitative relations between all the annual load characteristic indexes and the plurality of influence factors; historical data includes annual load characteristic index data of the past years and influence factor data; step 2, forecasting all the annual load characteristic indexes of the years to be forecasted through the quantitative relations obtained in step 1, and forecasting the annual energy output of the years to be forecasted according to the forecasted annual load characteristic indexes; step 3, distributing the forecasted annual energy output to every mouth. The annual energy output and the mouth energy output can be forecasted through the method, the plurality of influence factors are considered as a whole, the forecasting accuracy is high, and a reliable foundation is provided for planning of power utilization plans. An improved grey forecasting method is used for calculation, so that the efficiency is high.

The invention discloses a representation method of oil-gas exploration and oil-gas reservoir by taking vital bacterium abnormality and dead bacterium abnormality of methane-oxidizing bacteria as indicators, comprising the following steps: collecting a sample above an oil-gas exploration and oil-gas reservoir representation area according to the specific grid degree, the sampling depth and the sampling amount, packaging and saving the sample according to the specific condition; adopting a conventional microorganism counting method to obtain the vital bacterium quantity and the dead bacterium quantity of the methane-oxidizing bacteria in the sample; drawing an equal bacterium line of the vital bacteria and an equal bacterium line of the dead bacteria on a map, a topographic map, a geologic map or a topography-geologic map to obtain the vital bacterium abnormality and the dead bacterium abnormality; comprehensively comparing the vital bacterium abnormality and the dead bacterium abnormality; and estimating and predicting the underground oil-gas resource condition of the oil-gas exploration and oil-gas reservoir representation area, or extracting an exploitation scheme of the oil-gas reservoir according to the characteristics of the vital bacterium abnormality and the dead bacterium abnormality and the differences of the vital bacterium abnormality and the dead bacterium abnormality, and combining the results of geological exploration, geochemical exploration and geophysical exploration.

The invention provides a supply-demand balance analysis method and a supply-demand balance analysis system based on electric power, electric quantity and peak regulation balance. The supply-demand balance analysis method comprises the steps of acquiring an electric power demand analyzing and prediction result, an electric power supply analyzing and prediction result, electric power and electric quantity exchange data and network loss of each month; determining an electric power balance surplus according to a preset electric power balance calculating model; determining the number of a coal combustion set working hours according to a preset electric quantity balance calculation model; determining the peak regulation profit or loss according to the preset electric power balance calculating model; and determining whether electric power supply-demand balance is realized according to the electric power balance surplus, the number of the coal combustion set working hours and the peak regulation profit or loss. The supply-demand balance analysis method and the supply-demand balance analysis system provided by an embodiment of the invention can comprehensively and thoroughly analyze supply-demand balance of an electric power market and therefore have advantages of improving accuracy of supply-demand balance analysis result of the electric power market, facilitating reasonable making for short-period plan and middle-term plan of the electric power market, facilitating reasonable adding or reduction for installed capability of the coal combustion set, and preventing resource wastage.

The invention provides a logistics information query method and apparatus. The method comprises the steps of receiving a primary query request of a logistics user to specific logistics information; according to a query condition provided by the primary query request, querying information related to the specific logistics information in a specified logistics information storage database; according to the query condition and/or the queried information related to the specific logistics information, initiating a secondary query request to a corresponding logistics system; according to received real-time logistics information and the queried information related to the specific logistics information in the specified logistics information storage database, updating corresponding data in the specified logistics information storage database; and forming a query result corresponding to the primary query request according to the updated corresponding data in the specified logistics information storage database, generating a query result display page and sending the query result display page to the logistics user.

The invention discloses a method for implementing oil-gas exploration and oil-gas reservoir characterization by using living bacteria exception and total bacteria exception of methylosinus trichosporium as indexes. The method comprises the following steps of: acquiring a sample above an oil-gas exploration and oil-gas reservoir characterization area according to the specific grid degree, samplingdepth and sampling quantity, and packing and storing the sample according to the specific conditions; simultaneously acquiring the living bacteria number and the total bacteria number of the methylosinus trichosporium in the sample by adopting a conventional microbe counting method, and drawing an equal living bacteria line and an equal total bacteria line on a map, a topographic map, a geologic map or a topographic-geologic map to obtain the living bacteria exception and the total bacteria exception; comprehensively comparing the living bacteria exception with the total bacteria exception; making a judgment and a prediction or providing an oil-gas reservoir exploitation scheme for the underground oil-gas resource condition of the oil-gas exploration and oil-gas reservoir characterizationarea according to the characteristics, similarities and differences of the living bacteria exception and the total bacteria exception by combining the results of geologic exploration, geochemical exploration and geophysical exploration.

The invention relates to an automatic control system of a gas turbine generator set. The system adopts a plug-in board structure, and includes a main channel and a subsidiary channel. The main channel comprises a secondary power supply, a single chip microcomputer, an optical coupling input isolation circuit, a photovoltaic relay output isolation circuit, a data acquisition circuit, and an electromagnetic valve drive circuit. The subsidiary channel adopts a sequential logic circuit to realize the control function. The system provided by the invention completes cold start, process startup and programmed start by receiving external instructions, monitors the air inlet temperature, the exhaust temperature, the lubricating oil pressure, rotation speed and other over 30 operating parameters of the generator set during working, accomplishes over 20 fault protection and alarm functions, and transmits the exhaust temperature, the rotation speed, the fault and other information to a display control device, thus realizing the human-computer interaction function.

The invention relates to a method for evaluating the service life of an accessory of an aircraft engine. The method comprises the following steps of: formulation of a primary evaluation implementation scheme, sampling evaluation, life evaluation and examination, acceptable risk and serviceability analysis, issue life determination, conclusion appraisal and reporting implementation. The method comprises the steps of firstly knowing whether the normal working of the engine is influenced by the working and adjusting conditions of the accessory on the engine, and if the performance change of the accessory is remedied by the adjustment of the accessory on the engine, evaluating whether the accessory has margin to work to a next issue life according to the size of the adjustment amount. According to the method, the concept of 'condition-based' maintenance of the accessory of the engine is introduced, the service life is no longer controlled, aspects of evaluation time interval and the like in existing accessory life control methods are broken through, and adaptable management methods are scientifically and reasonably formulated according to accessories with different lives and states.

The invention belongs to the field of bridge maintenance, and particularly relates to a method for determining an optimal bridge maintenance technology combination under multiple diseases by using a genetic algorithm. According to the technical scheme, the method comprises the following steps that (1) determining maintenance technology list optimization indexes, wherein the maintenance technologylist optimization indexes comprise a cost index, a service life and an application index; (2) respectively carrying out data initial processing and normalization on the cost index, the adaptation index and the service life of the maintenance technology; (3) determining the weight value of each index by adopting a G1 method; (4) establishing a coefficient matrix of each index according to the normalized data; and (5) introducing a decision matrix, establishing a genetic algorithm multi-objective optimization model, and further determining an optimal maintenance technical list of the bridge under multiple diseases. The method for determining the optimal bridge maintenance technology combination under multiple diseases by using the genetic algorithm is wide in application range, simple in principle, convenient to use and good in reliability.

The invention discloses a herpes zoster neuralgia curative effect prediction method and system based on functional magnetic resonance. The herpes zoster neuralgia curative effect prediction method comprises the steps: obtaining a first image which comprises a functional magnetic resonance image and a structure image of a herpes zoster neuralgia patient; performing parameter calculation according to the first image, the parameter comprising a local consistency value and a fractional low-frequency amplitude; and predicting the curative effect of herpes zoster neuralgia by adopting a machine learning method according to a parameter calculation result. According to the invention, the functional magnetic resonance image of the first image is combined with machine learning to predict the curative effect of herpes zoster neuralgia; and nerve activity signs such as local consistency values and fractional low-frequency amplitudes are searched through the machine learning method, and the medicine curative effect of a patient can be objectively pre-judged, and a doctor can formulate a medical scheme for the patient more reasonably, and the working efficiency of the doctor is improved. The herpes zoster neuralgia curative effect prediction method can be widely applied to the field of medical image pattern recognition.

The invention discloses a method and system for predicting treatment effects of shingles neuralgia based on structural magnetic resonance. The method comprises the following steps: obtaining a structural magnetic resonance image of a patient suffering from the shingles neuralgia; performing pretreatment on the obtained structural magnetic resonance image so as to obtain gray matter volume, whereinthe pretreatment comprises steps of rectification, separation and modulation; and according to the gray matter volume and a machine learning method, predicting the treatment effects of the shingles neuralgia. According to the method disclosed by the invention, the structural resonance imaging and machine learning are combined to predict the treatment effects of the shingles neuralgia, through themachine learning method, the gray matter volume as a nerve image mark is found, the medicine treatment effects of patients can be objectively predicted and judged, doctors can more reasonably formulate a medical care scheme for the patients, and the working efficiency of the doctors can be improved. The method disclosed by the invention can be widely applied to the field of medical image patternrecognition.

The invention belongs to the field of bridge maintenance, and particularly relates to a maintenance technology selection method under a single disease of a highway concrete bridge. The technical scheme is as follows: the method comprises the following steps: 1) determining a bridge maintenance technology selection index under a single disease; 2) quantifying the selection indexes; 3) determining weight values p1, p2 and p3 of each evaluation and selection index by using an analytic hierarchy process based on experts; and 4) calculating a comprehensive evaluation value of each maintenance technology by adopting a simple linear weighting method, and obtaining a bridge maintenance technology list under a single disease according to the comprehensive evaluation value of each maintenance technology. According to the maintenance technology selection method for the expressway concrete bridge under the single disease, the optimal maintenance technology under the single disease can be selectedaccording to the visual numerical calculation result, and therefore scientific decision making of bridge maintenance management is achieved.