601results about How to "Fully reflect" patented technology

The invention relates to a method and system for establishing a multilayer oil pool inter-well connectivity model. The multilayer oil pool inter-well connectivity model capable of simulating oil and water dynamic states is established oriented to the limitation that by means of a current connectivity model, only the dynamic change of production liquid can be predicted, the dynamic states of the oil phase and the water phase cannot be calculated respectively, and connectivity analysis cannot be carried out layer by layer. According to the model, an oil pool system is layered and scattered into a series of inter-well communication units, matter balance equation calculation is carried out with the inter-well communication units as simulating objects, pressure solving and inter-well flow calculation are achieved, an inter-well saturation degree tracking calculating method is established with the combination of the lead edge boosting theory, and the output dynamic states of oil and water of all layers at well points are obtained; a model parameter inversion method is established in a fitting mode through dynamic states based on a random disturbance approximation method, a projection gradient method and the like. Layered inter-well flow distribution coefficients, single well longitudinal production liquid and production oil splitting coefficients and other information can be obtained in real time, the oil pool plane, the longitudinal oil and water flow relation and the production measure change can be more accurately reflected to guide the practical production of an oil field.

The invention discloses a wireless data-image dual acquirement anti-electricity-theft monitoring system and method which uses a microwave body sensor to conduct the real time detection to activities of people around an electricity meter box. Based on the method of the image shooting of a camera, the monitoring system provided by the invention uses a camera to continuously shoot and store the images of the activities of people around the electricity meter box and can real time transmit alarming information, electricity meter data and image information to a motoring server through GPRS network; and then, the motoring server can send the received alarming information to the mobile phones or computers of users in time, and users can read the alarming information from the mobile phones or computers of users in distance. Besides the functions of remote electricity meter data acquiring, the anti-electricity-theft monitoring and real-time alarming, the monitoring system also can transmit field images in time and obtain images stored by field equipment later for providing convincible proofs during handling the electricity theft of illegal users.

The invention discloses a shale gas reservoir gas diffusion coefficient experiment test method. According to a method, a one-dimensional diffusion mathematic model is built by monitoring pressure attenuation data in a shale plunger rock sample under effective stress conditions of methane gas with a certain initial pressure in a constant-temperature closed system with the micro-pore structure and the gas existence state of a shale reservoir as bases, the diffusion coefficient of the gas (methane) in shale is calculated, and the diffusion mass-transfer capacity of the gas (methane) in the shale is quantitatively assessed. In the experiment testing process, the diffusion process of gas in the shale gas reservoir can be effectively simulated, and influences of effective stress, gas adsorption/desorption and other factors on the diffusion coefficient are reflected. Besides, the method can overcome influences of gas free expansion stage data in a traditional adsorption/desorption method on the diffusion coefficient. The method can assess the diffusion mass-transfer capacity of the gas in the shale and provide experiment support for researches in the aspects of shale gas reservoir productivity models, productivity prediction and the like.

The invention discloses a power distribution system probability reliability assessing method based on an analytical method. The method comprises the steps that a given power distribution network is partitioned into a fault area, an isolation area, a gapless island area and an influence-free area are classified, a fault mode impact analysis sheet base is established, and parameters are initialized; a stimulation clock is initialized, a random number is generated, the minimum non-failure operation time is obtained according to failure rate parameters of all element state models, the fault isolation time and the load band transferring time are worked out, and the stimulation clock is pushed; the fault mode impact analysis sheet base is inquired, classifications of all cells are determined, whether an island is formed or not is judged, and different methods are adopted for processing the island area and the non-island area; the state sample of an energy storage device is established according to the energy storage device electrical charge state probability distribution obtained through the probability reliability calculating method; distribution probabilities of single-time fault indexes of load points are overlapped, and the probability reliability indexes of the loads and the system are calculated. The simulation speed is increased while certain calculation precision is ensured, and the power grid situation is comprehensively reflected.

The invention relates to an atmospheric pollution monitoring system based on a wireless sensor network, which comprises wireless sensor network nodes, wireless sensor network sink nodes, local monitoring subcenters, a remote control terminal and a mobile phone terminal. Besides the atmospheric pollution monitoring system based on the wireless sensor network, the invention also customizes a wireless sensor network multi-level heterogeneous clustering routing protocol at the stage of network self-organization; the design of the system is reasonable, the system is easy to deploy, and the intelligent degree is high; when being applied on a large scale, the system can balance the energy consumption of the wireless sensor network nodes, accurately and timely reflect the situation of atmospheric pollution and give the alarm, the wireless sensor network nodes within monitored areas can be conveniently self-networked, and are highly scalable, a large-scale monitoring system can be constructed, and the system is suitable for popularization and application.

The invention discloses a text similarity matching method on the basis of a vector space model. The text similarity matching method includes extracting keywords of texts, clustering all the keywords and generating a keyword concept tree; and computing the similarity of the texts according to the created keyword concept tree of the keywords in the texts to be translated, and acquiring texts in a translation depository according to the similarity. The texts in the translation depository are matched with the texts to be translated. According to the technical scheme, the test similarity matching method has the advantages that relations among the texts can be relatively accurately reflected, so that the similarity of the texts can be sufficiently reflected.

The invention discloses a projection pursuit-based method for evaluating flooding risk of a drainage pipe network, which relates to the technical field of system comprehensive evaluation. The method integrates multi-aspect flooding risk effect factors from a drainage pipe network model, a geographic information system and a database system and uses a projection pursuit evaluation method for evaluating the flooding risk of the drainage pipe network. In the method, linear projection is conducted on each evaluation indicator sample; an optimal projection direction vector is searched in accordancewith a certain principle and the optimal projection direction vector reflects the important level of each evaluation indicator, namely objective weight, and based on the objective weight, a comprehensive evaluation number is established for conducting evaluation grading on the flooding risk of the drainage pipe network, thus providing technical support for emergency rescue in flood season. The method avoids one-sidedness of human analysis in evaluation process, has more scientific evaluation result, and can vividly and directly represent disaster risk degree and distribution due to an obtained flooding disaster risk map, thus providing excellent decision platform for rescue dispose.

The invention provides a predistortion device and a method. An input data is treated by a high speed predistortion and a digital signal is obtained by the feedback of a power amplifier. The result obtained from the parameter relation transformation of a digital signal is compared with the digital signal obtained from the process in which the input data is treated by the high speed predistortion and delayed. When the specification error requirement is satisfied, the related parameter in the parameter relation transformation is updated and saved in a lookup table as a predistortion parameter. The invention can use a uniform predistortion structure in an initial predistortion treatment and a normal predistortion treatment. Adopting the predistortion structure of an indirect discipline parameter, the invention collects data in a descending time slot and proceeds adaptive filtering treatment in an ascending time slot in a mobile communication system of a time division duplex, such as TD-SCDMA and OFDM_TDD system.

The invention relates to a click probability prediction method and device and a page content recommendation method and device. The method comprises the steps of acquiring a heterogeneous graphd; selecting to-be-predicted user nodes from the user nodes of the heterogeneous graph, and selecting to-be-predicted content nodes from the content nodes of the heterogeneous graph; searching neighbor nodesof the to-be-predicted nodes in the heterogeneous graph according to node relation edges among the nodes in the heterogeneous graph; aggregating the node features of the neighbor nodes to the to-be-predicted node to obtain an aggregation feature vector of the to-be-predicted node; and predicting a click probability according to the respective aggregation feature vectors of the to-be-predicted usernode and the to-be-predicted content node. According to the scheme provided by the invention, the interested degree of the user on the page content can be more accurately reflected, and the page content recommended to the user based on the predicted click probability more conforms to the interest of the user.

The invention discloses an end-to-end speech emotion recognition method and system. The method comprises the steps: extracting the phoneme features of speech data; extracting cepstrum features of thespeech data; aligning the phoneme vector sequence and the cepstrum feature by taking a file as a unit, taking the phoneme vector sequence and the cepstrum feature as input, and performing end-to-end speech emotion recognition model training by utilizing a deep neural network; when the model is deployed, carrying out resampling and effective speech segment detection on any input speech data. By using the feature extraction process and the recognition model, end-to-end recognition can be performed on the speech data, the efficiency is higher, and the prediction is more accurate.

The invention discloses a detection method and an application of lung cancer genes. According to the application, the detection method comprises the following steps: constructing a cfDNA library, and conducting hybrid capturing on the cfDNA library by virtue of 12659 probes which are designed in accordance with 105 lung cancer associated genes, sequencing the genes by virtue of a computer, and conducting data analysis on a sequencing result, so that comprehensive and accurate lung cancer gene information is obtained. According to the application, the detection method can implement with a small amount of peripheral blood, so that noninvasive detection is actually achieved. The detection method disclosed by the invention, by capturing, sequencing and analyzing important lung cancer genes in ctDNA, can be used for screening lung cancer in the early stage; therefore, related medication gene mutation information is provided for patients with the lung cancer, and an important reference is provided for the early diagnosis of the lung cancer, personalized accurate medication guidance, effectiveness evaluation and prognosis dynamic monitoring.

The invention discloses a method for simulating a biaxial test of a braided composite material and determining material performance parameters by using a finite element method. The method comprises the following steps: simulating a biaxial test of a material by using finite element software based on size and space distribution conditions of fibers and matrixes obtained by a polarizing microscope technology and performances of known component materials, and determining the damage mechanism and process of the material in the test process. The simulation result of the finite element software is compared with true data acquired by a biaxial testing machine, and when the simulation result is almost completely matched with the real data, the method is effective and feasible, and the material damage process simulated by the method is quite credible. The method is simple in operation and strong in repeatability and is suitable for various complex load conditions of the braided composite material, the mechanical response of the braided composite material under the complex load conditions can be accurately and comprehensively reflected, and particularly the microscopic damage mechanism and process of the material which cannot be observed in the test can be intuitively reflected.

The invention discloses a method for accurately determining high-temperature mechanical property parameters of a heat preventing material based on the digital image related technology, and belongs to the technical field of material parameter measuring through tests. The deformation situation of the material in the test process is acquired based on the digital image related technology, and the mechanical property parameters of the material at the vacuum (inflation) and certain temperature are determined according to the load and the temperature data provided by a high-temperature mechanical test machine. According to the method, blue light is adopted for supplementing light, a blue light filter is added in front of a DIC optical measuring lens, scattered spots splashed to a sample are baked, and a DIC can be used accurately at the high temperature. The method is easy to operate and high in repeatability, the heat shock of the material can be simulated, the mechanical response of the heat preventing material at the high temperature can be more accurately and completely reflected, the overall material deforming situation which cannot be observed and the transverse deformation coefficients which cannot be measured can be visually reflected, and the material property parameters can be represented more vividly and effectively.

An LED hanging lamp comprises a reflective cover, a rear cover and a face cover. The reflective cover is formed by integrally stretching aluminum alloy, the section of the reflective cover is in the shape of M, the reflective cover comprises a mounting plate arranged in the middle and light blocking plates arranged on the two sides of the mounting plate, the mounting plate comprises a left mounting plate and a right mounting plate, and the bottom portion of the left mounting plate and the bottom portion of the right mounting plate are both provided with containing grooves used for mounting LED base plates. The face cover is arranged on the reflective cover, the bottom portions of the two light blocking plates are respectively provided with a first guide rail groove, the first guide rail grooves are defined by upper hook-shaped portions and lower hook-shaped portions which extend out of the bottom portions of the light blocking plates, and the upper hook-shaped portions, the lower hook-shaped portions and the reflective cover are integrally formed in a stretching mode. Fasteners matched with the first guide rail grooves are arranged on the edges of the two sides of the face cover, each fastener comprises a first bending portion and a second bending portion, the first bending portions are contained in the first guide rail grooves, the second bending portions form concave space, and the lower hook-shaped portions are arranged in the concave space.

The invention discloses an electric vehicle charging station modeling method for reliability assessment of a power distribution network and application of the electric vehicle charging station modeling method. The method is characterized by including the steps: 1, establishing an electric vehicle running status time sequence model; 2, establishing an electric vehicle spatial and temporal distribution model; 3, on the basis of a dijkstra algorithm, calculating the sum of power batteries available for centralized charging in each charging station; 4, establishing a charging station output time sequence model based on reliability assessment; 5, adopting a Monte Carlo simulation method for realizing reliability assessment of the power distribution network with electric vehicles, and carrying out statistics of reliability indexes. Establishment of a more practical electric vehicle output model can be realized, centralized optimal control of the electric vehicles is improved, utilization rate of the electric vehicles serving as energy storage devices is increased, pressure of power shortage in load peak of the power distribution network is relieved, and accordingly reliability of the power distribution network can be further improved.

The invention provides a method and device for acquiring a facial expression of a 3D face model and a storage device. The method comprises the steps of acquiring a 3D face model; acquiring a motion trajectory of a facial feature point by using an RGBD image sequence; and mapping the motion trajectory of the facial feature point to the 3D face model so as to enable a motion trajectory of a facial feature point of the 3D face model to be matched with the acquired motion trajectory of the facial feature point. The device comprises a processor, wherein the processor implements the method. The storage device stores program data which can be executed to implement the above method. The facial expression information acquired according to the invention is more comprehensive and accurate, so that the 3D face model can be enabled to reflect the facial expression of the human face more vividly.

The embodiment of the invention discloses a channel information feedback method, which comprises the following steps of: according to channel quality, dynamically allocating channel information feedback bit numbers for each channel; according to the channel information feedback bit numbers dynamically allocated for each channel, determining the capacity of channel state information codebooks of each channel and generating the channel state information codebooks; determining feedback code words in the channel state information codebooks according to channel state information, wherein the feedback code words are used for feeding the channel state information back; and transmitting matching results of the channel information feedback bit numbers and index numbers of the feedback code words, wherein the index numbers are used for identifying the feedback code words. Correspondingly, the embodiment of the invention also discloses an information processing method, a terminal, a base stationand a multiple input multiple output (MIMO) system. Through the technical scheme, the different channel information feedback bit numbers are dynamically allocated for each channel, which more fully utilizes feedback gain.

The invention belongs to the technical field of power quality analysis and especially relates to a node voltage sag severity comprehensive assessment method based on a weighted ideal point method. The method is characterized in that the method comprises the following steps: to begin with, establishing an attribute set and a scheme set; then, determining combination weight of each index in the attribute set based on an entropy weight method and a variation coefficient method; and finally, carrying out voltage sag severity comprehensive assessment based on the weighted ideal point method. Weighted distance between each scheme and positive and negative ideal solutions in the ideal point method and relative closeness between the scheme and the positive ideal solution are calculated respectively, and the schemes are ranked in a descending order in sequence to obtain an optimal scheme order. The method reflects voltage sag severity from the perspectives of frequency, duration and amplitude angle, and reflects influencing characteristics of sag frequency on the voltage sag severity from perspectives of the part and the whole, so that erroneous judgment due to single-index assessment is effectively prevented, voltage sag information of each node can be reflected more comprehensively and accurately, and the obtained result is objective, accurate and more realistic.

The embodiment of the invention provides a method and system for providing enterprise portraits, and belongs to the technical field of information. The method comprises the following steps of: obtaining identification information of a target enterprise and collecting tax-related data and internet public data of the target enterprise according to the identification information of the target enterprise, preprocessing the tax-related data and the internet public data of the target enterprise to obtain index data corresponding to portrait elements in a preset enterprise portrait label index strategy corresponding table, analyzing and processing the index data according to the enterprise portrait label index strategy corresponding table and a preset enterprise portrait label model to obtain portrait label data of a target enterprise, and generating an enterprise portrait of the target enterprise according to the portrait label data of the target enterprise. According to the embodiment of the invention, based on the collection and mining of the tax-related data of the enterprise, the business behavior and the business state of the enterprise can be comprehensively, clearly and accuratelyreflected, so that a real and reliable enterprise portrait is provided for the user, and the requirement of the user for quickly and accurately understanding the enterprise is met.

The application discloses a monitoring method for air quality. The monitoring method comprises the following steps: acquiring air information through a first sensor set, wherein the air information contains at least one of wind direction, wind speed, temperature, humidity and air pressure; acquiring mass concentration information of particulate matters through a second sensor set, wherein the massconcentration information of the particulate matters is used for expressing the content of the particulate matters in a to-be-monitored environment; acquiring concentration information of gaseous pollutants through a third sensor set, wherein the concentration information of the gaseous pollutants is used for expressing the content of the gaseous pollutants in the to-be-monitored environment, andthe gaseous pollutants contain at least one of carbon dioxide, nitric oxide, carbon monoxide, nitrogen dioxide, sulfur dioxide, total volatile organic compounds and ozone; and determining environmentquality information according to the air information, the mass concentration information of the particulate matters and the concentration information of the gaseous pollutants, wherein the environment quality information is used for indicating quality conditions of air. The application also provides monitoring equipment for the air quality. The application is used for improving the reliability ofthe environment quality information.