48results about How to "Formulated in time" patented technology

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 relates to mobile wireless communication, in particular to a dynamic cooperative coverage method among base stations. In the prior art, only how to control cell base stations under a static condition is considered, the number of users and the random time-variant characteristic of positions of the users are not considered, and communication blind spots can not be efficiently and accurately covered after one cell is dormant. The dynamic cooperative coverage method among the base stations carries out forecasting according to the number of users of a grey markov model and combines zonal statistics, and the base stations of other neighborhood cells can efficiently, timely and accurately cover all users in the dormant cell when one cell base station is dormant.

The invention discloses an intelligent deployment method and device for fire fighting forces for processing fire disasters in a tank farm. A three-dimensional tank farm-factory model, a human-vehicle three-dimensional model, a fire kinetic model are loaded on a GIS platform; and a three-dimensional tank farm-factory fire fighting electronic sand table is constructed. With a fire plume model and a heat radiation model in the fire kinetic model, a related flame parameter, a dangerous range and a rescue operation range are predicted scientifically and thus a fire fighting strategy as the reference for fire fighting commanders is provided, thereby realizing intelligent deployment of the fire fighting forces based on scientific prediction. Therefore, the combating commanding level of the fire fighting commander as well as the fire fighting rescue capability of the fire brigade is enhanced; and thus the casualties and property losses that are caused by fire disasters can be reduced to the greatest extent.

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 provides a power system transient frequency prediction model updating method based on a data inheritance idea. The method comprises the following steps of firstly, training a historicaltransient fault sample by utilizing an extreme learning machine (ELM) algorithm, and establishing a historical frequency prediction model; and if the power system has a transient fault during the process of monitoring the running state of the system in real time, collecting the system running data before and after the fault, and then updating the historical frequency prediction model according toa newly added transient fault sample. According to the method, the data inheritance thought is applied to the frequency prediction model updating process, the frequency prediction model can be rapidlyupdated in a power system transient frequency prediction scene with few historical samples, the frequency prediction performance is improved, the emergency control measures can be made and adopted intime, and the method has important significance for maintaining the stable operation of a power system.

The invention relates to a breast ultrasonic device and a breast ultrasonic scanning assembly. The breast ultrasonic device comprises a scanning device and a platform which is used for supporting the scanning assembly, and is characterized in that the scanning assembly comprises a cup with a cavity, a transducer assembly and a transmission device; the transducer assembly comprises a transducer; the transducer is arranged at the bottom of the cup; the cup and the transducer assembly are connected to a power output end of the transmission device; and the transmission device drives the cup and the transducer assembly to rotate integrally. A breast can be accurately scanned and imaged full-automatically, and therefore, a doctor can be assisted to accurately judge conditions of patients and can formulate a treatment scheme in time.

The invention discloses an infectious disease epidemic situation predicting and monitoring system and a method based on a keyword search time series and application of the infectious disease epidemic situation predicting and monitoring system and the method. In the infectious disease epidemic situation predicting and monitoring system and the method, the search popularity of related search keywords in a search engine is used as a feature to train a lasso regression model; the epidemic situation of related infectious diseases such as novel pneumonia in various regions can be effectively predicted in real time, the problem of related index output lag is solved, the related epidemic situation can be known in advance, and an effective decision can be made.

The invention provides a commutation failure prediction method considering waveform distortion and DC current change for an AC and DC interconnection system. The method comprises the following steps:establishing an AC-DC system commutation process mathematical model according to a DC commutation principle; decomposing three-phase components of a converter bus voltage based on discrete Fourier transform, and predicting a commutation voltage in a commutation process; predicting a direct current of the commutation process based on the superposition theorem; finally, predicting whether commutation failure occurs or not by comparing the extinction angle prediction value with the inherent limit extinction angle of a valve. The method can quickly predict the occurrence of commutation failure after a system fault, facilitates the timely making and taking of emergency control measures, and is of great significance to the maintenance of the stable operation of a power system.

The invention relates to the field of network retail data application, and particularly provides a method for constructing an agricultural product network retail price index. The invention discloses amethod for constructing an agricultural product network retail price index. Firstly, platform selection is performed, an e-commerce platform is selected during platform selection; the agricultural products of different platforms are divided differently, the agricultural products with the first 100 basic-period sales volume ranked in the mainstream e-commerce platform are selected, the price of the agricultural products with the first-level category j and the second-level category k in the monthly e-commerce platform is Pijk and the sales volume is qijk through crawlers, and the Laplace priceindex is used for constructing the price index of the agricultural products. Compared with the prior art, the overall price trend of agricultural products and various agricultural products in networkretail can be obtained, a sound price early warning mechanism is established, the government price monitoring range is widened, and the government macroeconomic decision-making ability is improved. Good popularization value.

The invention provides an AC/DC system commutation voltage prediction method based on second-order circuit response for an AC/DC interconnection system. The method comprises the following steps of: firstly, establishing a prediction model of AC-DC system transient response based on a response form of a second-order circuit; decomposing the three-phase component of a converter bus voltage accordingto a symmetrical component method to obtain a Fourier expansion coefficient of the three-sequence component of the converter bus voltage; and finally, fitting each parameter in the response prediction model based on a least square method principle, and calculating a predicted value of the commutation voltage. The method can quickly predict the voltage of each phase of the converter bus after a system fault, facilitates timely making and taking of emergency control measures, and is of great significance to the maintenance of the stable operation of the power system.

The invention provides an AC/DC system commutation voltage prediction method based on first-order circuit response for an AC/DC interconnection system. The method comprises the following steps: firstly, establishing a prediction model of AC-DC system transient response based on a response form of a first-order circuit; decomposing the three-phase component of the converter bus voltage according toa symmetrical component method to obtain a Fourier expansion coefficient of the three-sequence component of the converter bus voltage; and finally, fitting each parameter in the response prediction model based on a least square method principle, and calculating a predicted value of the commutation voltage. The method can quickly predict the voltage of each phase of the converter bus after a system fault, facilitates the timely making and taking of emergency control measures, and is of great significance to the maintenance of the stable operation of a power system.

The invention relates to the field of nucleus pulposus prostheses of intervertebral disc fibrous rings, in particular to a nucleus pulposus prosthesis device implanted into an intervertebral disc fibrous ring and a manufacturing method and a filling device of the nucleus pulposus prosthesis device. The nucleus pulposus prosthesis device implanted into the intervertebral disc fibrous ring comprisesa balloon shell, a filler and at least one sensor, wherein the balloon shell can be implanted into the intervertebral disc fibrous ring and is internally provided with a filling cavity; the filler isarranged in the filling cavity so as to expand the balloon shell; and the at least one sensor is arranged on the balloon shell or in the filler. The balloon shell is placed in the fibrous ring of theintervertebral disc, the balloon shell abuts against the inner wall of the fibrous ring after being expanded to form a similar nucleus pulposus structure, nucleus pulposus replacement is achieved, and the sensor is embedded to obtain biological parameters and/or mechanical parameters of the nucleus pulposus prosthesis device in the fibrous ring for comprehensive monitoring, and the balloon shellis specifically and uniquely improved.

The invention discloses an oil-gas pipeline disaster emergency treatment method based on a mobile phone signal LBS and big data. The method comprises the following steps that an LBS data interface ofan operator of a telecommunication service is called, and LBS data along a pipeline are collected in real time; large-scale aggregation active areas are judged through the density of mobile phone signals, and an emergency measure plan is prepared; real-time information of protection areas along the pipeline is collected, a data model is established according to the collected information, and thedata model is stored in a database; the signals which disappear in the adjacent time periods in the same large-scale aggregation active area are analyzed by using a big data analysis algorithm, and whether a pipeline disaster occurs or not is judged; and if the pipeline disaster is determined, disaster information is pushed to relevant departments. According to the method, all-weather 24-hour monitoring and disaster analyzing can be carried out on the number of personnel moving along the pipeline can be realized in a full-automatic mode, a basis is provided for emergency of the pipeline disaster, and loss caused by the disaster is reduced to the minimum.

The invention relates to a label strategy recommendation and marking method, terminal equipment and a storage medium, and the recommendation process comprises the steps: carrying out the data structure matching of a received target data set and a pre-stored label design, and enabling the successfully matched pre-stored label design to serve as a candidate label design; determining a first target data structure of the target data set and the candidate label design according to the filling rate of the data structure successfully matched with the candidate label design in the target data set; formulating a candidate label strategy according to the first target data structure and the candidate label design; and recommending the candidate label strategy. According to the invention, the problemsof hysteresis and low efficiency of the existing label production strategy can be solved, so that the automatic and timely formulation of the label strategy is realized.

The invention provides a quadruple fluorescent quantitative polymerase chain reaction (PCR) detection kit for diarrheagenic Escherichia coli. The quadruple fluorescent quantitative PCR detection kit consists of fluorescent quantitative PCR reaction liquid, a standard substance O157, a standard substance H7, a standard substance O104, a standard substance H4 and a reference substance, wherein the fluorescent quantitative PCR reaction liquid comprises PCR reaction buffer solution (which contains a mixture of magnesium chloride and deoxyribose nucleotide triphosphate, heat-resisting thermus aquaticus deoxyribonucleic acid (Taq DNA) polymerase and the like), special upstream and downstream primers and a probe. In the quadruple fluorescent quantitative PCR detection kit, O157:H7 and O 104:H4 type bacteria of the diarrheagenic Escherichia coli can be detected from a sample; and compared with the conventional ordinary PCR method and single fluorescent quantitative PCR method, the quadruple fluorescent quantitative PCR detection kit has the advantages of simplicity, convenience, quickness and accuracy; and the detected bacteria are quantitated accurately in real time, and the diagnosis of suspected patients infected with the bacteria clinically is clarified early, so that the treatment scheme is formulated in time to lower the death rate.

The invention discloses an intelligent management system for the beauty industry, which comprises a member building module, a data input module, a payment module, a data inquiry module, a controller,a display, a controller, a storage module, a financial management module, a member database, a member monitoring module, a welfare module and a data analysis module. The invention sends preferential information in time and stores the preferential information in the storage module through the member monitoring module at the birthday of the member, and then the payment module detects whether there is any preferential information and compares it with each other, obtains the proportion of preferential use, and judges whether the current preferential use is suitable for most members by means of theproportion of preferential use so as to facilitate the timely formulation of new preferential information; the system is simple and effective, and easy to be applied.

The invention provides a multifunctional respiratory medicine disease inspection treatment device which comprises a main handle, a medicine adding tank with a lid, an auxiliary handle, a metal hose, abreathing treatment anti-leakage detection cover structure, a breathing gas sampling collecting bag structure, a main retractable belt, a son buckle of hook and loop fasteners, an auxiliary retractable belt, a mother buckle of hook and loop fasteners, a main connecting belt, an auxiliary connecting belt, a mouth expanding throat detecting probe structure, a writable recording board structure anda portable strap structure; the main handle is adhesively connected to the middle of the right side of the medicine adding tank with the lid; the auxiliary handle is adhesively connected to the middleof the left side of the medicine adding tank with the lid. By arranging an air guiding tube, a sampling bag, an air releasing cap, a connecting rope, an air inlet tube and a mechanical valve, whetheror not gas exhaled by a patient contains toxin can be sampled and inspected; by arranging an anti-leakage sealing strip, an inspection cover body and a silica gel sealing strip, the phenomenon that infection is caused by gas leakage during inspection is avoided.

The invention provides an aphid situation investigation method and apparatus. The method comprises: an aphid situation leaf sample is scanned to obtain aphid situation leaf image information; the aphid situation leaf image information is analyzed and the number of aphids of the aphid situation leaf sample is obtained; and according to a preset number of aphids of the aphid situation leaf sample and a preset aphid situation grade standard, an aphid situation grade is calculated. With the method and apparatus, the aphid situation leaf image information is obtained by using a scanning way and then is analyzed and calculated to obtain the aphid situation grade. Therefore, a problem that the aphid situation investigation result is not accurate and the error is large due to utilization of the visual inspection and hand-operated searching method can be solved; and thus the aphid situation investigation becomes standard and accurate.