1763results about How to "Strong practical value" patented technology

The invention relates to a device and method for composition based on a small quad-rotor unmanned aerial vehicle and belongs to the technical field of mobile robot positioning and navigation. The small quad-rotor unmanned aerial vehicle can rapidly enter a complex environment which a mobile robot cannot enter, carried laser radar is utilized to construct a two-dimensional map in real time according to an SLAM method, self localization and navigation of the unmanned aerial vehicle can be achieved by combining an IMU device and the like, and efficient exploration of a true complex area is achieved; the height of the small quad-rotor unmanned aerial vehicle can be conveniently adjusted to obtain two-dimensional maps on horizontal planes of different heights; the small quad-rotor unmanned aerial vehicle is rapid in movement speed and more flexible, movement and mapping of the small quad-rotor unmanned aerial vehicle are not subject to disturbance of obstacles on the ground, the range limitation of a detecting robot is broken through, the small quad-rotor unmanned aerial vehicle is extremely high in practical value, and accurate and rapid map construction can be achieved; compared with robot environment composition, the rotor wing robot can perform environment scouting more rapidly and more flexibly, and three-dimensional spatial images can be obtained.

A simulation device of an entire natural gas hydrate exploitation process includes a high pressure reaction kettle, a gas-liquid separation device, a hydrate accumulation simulation subsystem simulating a hydrate accumulation process, a hydrate formation drilling simulation subsystem simulating a hydrate formation drilling process, a hydrate exploitation simulation subsystem simulating a hydrate decomposition and gas production process, and a produced gas collecting and processing simulation subsystem simulating a produced gas collecting and processing process. A method for simulating an entire natural gas hydrate exploitation process includes a hydrate accumulation process, a hydrate formation drilling process, a hydrate exploitation process and a produced gas collecting and processing process. With this simulation device and method, the external environment can be truly simulated, so that the authenticity and accuracy are better, and the entire natural gas hydrate exploitation process is continuously simulated and comprehensively evaluated to provide guidance for natural gas hydrate exploitation.

The invention relates to a multi-channel portable colloidal gold test paper strip quick test device, which mainly comprises a detector, wherein the detector comprises a detecting part, an electrical part and a software detecting part; the detecting part comprises a plurality of mutually independent detecting channels; the electrical part comprises an ARM data processor, a keyboard and an LCD; image data detected by the detecting part are processed and displayed by the electrical part; and the software detecting part controls detecting steps. The device has a multi-channel detecting structure, and four channels can carry out the same detection item as well as different detection items. The device has the advantages of high detection speed, large amount of samples and great practical value.

The invention provides a method and a device used for video enhancement. The method comprises the steps as follows: a nonlinear tensioning curve mapping table is arranged; for each frame of image, the histogram balance mapping table of the frame of image is calculated according to the brightness data; subsequently, the mapping value of at least each brightness value of a brightness value set of the pixel point of the frame of image in the nonlinear tensioning curve mapping table and the histogram balance mapping table is weighted and averaged; furthermore, a brightness mapping table is used for recording the corresponding relationship between each brightness value and the mapping value after weighted-average; subsequently, according to the brightness mapping table, the brightness value of the pixel point of the frame of image is updated as the mapping value after weighted average corresponding to the brightness value. The device of the invention comprises a brightness enhancement module which further comprises a nonlinear curve tensioning table memory unit, a histogram balance mapping table calculation unit, a brightness mapping table calculation unit and an image brightness enhancement mapping unit. The method and the device of the invention can improve the visible effect of the video images under the condition of low illumination and normal illumination.

The invention discloses a method for analog computation of concentration of a pollutant in a sensitive area. The method is as follows: 1) establishing a coordinate system according to the position of a predicted point of the sensitive area, and determining the position of a non-point source pollution source and coordinates of the predicted point; 2) determining the surface source height of the pollution source; determining the wind speed at a discharge site according to the surface source height; 4) determining diffusion parameters; 5) establishing a diffusion model, and inversely calculating emission source intensity of the pollutant according to the concentration of the pollutant at a monitoring point; 6) positively calculating the concentration of the pollutant at the predicted point according to the emission source intensity, and superimposing environmental background value to obtain the actual concentration value of the predicted point; and 7) comparing the positively-calculated concentration, obtained in the step 6), of the pollutant at the predicted point and a environmental standard to judge whether the concentration of the pollutant exceeds the standard. The concentration of the pollutant can be in real time monitored by means of an air automatic monitoring station built in the periphery of an industrial park. By setting up of the pollutant diffusion model, a calculation scheme for the concentration of the pollutant in the sensitive area can be formed, and diffusion of the pollutant in the industrial park can be forecasted and warned when emission source intensity is unknown.

The invention discloses a novel phase-change material composition. The novel phase-change material composition mainly comprises carbon nanotubes, graphene, fumed silica, metal or metal oxide particles and a phase-change material. The carbon nanotubes, graphene and metal or metal oxide particles can further accelerate heat transmission. The phase-change material is used for improving a hot end initial temperature absorption rate. The fumed silica has effects of precipitation prevention and thickening and can prevent graphene and particle aggregation settlement after heat absorption liquefaction of the phase-change material. The carbon nanotubes, graphene and metal or metal oxides can finally form a full 3D network comprising particles (metal or metal oxides), wires (carbon nanotubes) and planes (graphene) in the fluid (of phase-change material subjected to heat absorption melting). The novel phase-change material composition has high heat conductivity and low thermal resistance value, has high specific heat capacity, greatly improves phase-change material heat absorption, heat storage and heat radiation efficiency and has a high practical value.

The invention discloses a system and a method for cloud service real-time falling-down detection. The system comprises an acquisition device, a mobile terminal connected with the acquisition device, a transfer device connected with the acquisition device and the mobile terminal separately, a cloud service platform connected with the transfer device, and a monitoring terminal connected with the cloud service platform, wherein the acquisition device comprises a controller, and a three-axis acceleration sensor, a three-axis gyroscope, a pressure sensor, a body temperature sensor, a heart rate sensor, a pulse sensor, a blood pressure sensor, a positioning module, a communication module and a storage module which are connected with the controller separately. According to the system and the method disclosed by the invention, the acquisition device, the mobile terminal and the transfer device form a stable data communication mode to ensure that the falling-down information of a monitored object is uploaded to the cloud service platform by virtue of the transfer device, and the real-time monitoring of quick falling-down and slow conditions of the monitored object is realized; and the data communication mode can realize functions of hierarchical processing, storage and the like of data, thereby greatly improving completeness and reliability of the data.

The invention provides a device and method for automatically testing and calibrating parameters of battery management systems. The system comprises a battery model database unit, wherein the input end of the battery model database unit is connected with a testing man-machine interface; the battery model database unit is simultaneously connected with a parameter automatic adjustment unit; the output end of the battery model database unit is connected with a test data stream generation unit; the test data stream generation unit outputs signals to a signal output unit; one path of the signals of the signal output unit are output to a battery management system to be tested and the other path of the signals thereof are output to an error analysis unit; one path of input of the error analysis unit is the signal output unit and the other path of input thereof is the battery management system; the computation results of the error analysis unit are output to the parameter automatic adjustment unit; the adjustment amount is computed; the results after adjustment are output to the battery model database unit; then the battery model database unit outputs new data stream; and such a cycle is carried out until the parameter precision meets the design requirement. The device and the method have the following beneficial effects that: the parameters of the battery management systems can be automatically adjusted to optimize the parameters; and the device and the method have the advantage of automatic test and calibration of the parameters.

The invention discloses a multi-phase fluid oil displacement and pulse unblocking integrated physical simulation experiment device and method. The device mainly comprises a multi-phase fluid generation and storage system, a multi-phase fluid spreading and impulse wave generation system, a reservoir core simulation system and a dynamic experiment data collection system. The multi-phase fluid spreading and impulse wave generation system comprises a multi-phase fluid injection pipeline, a pulse oscillation generation cavity casing, a collision body and a multi-phase fluid output and pulse wave spreading pipeline. The device mainly utilizes difference of gas and liquid elastic modulus to achieve conversion between pulse unblocking/oil displacement and gas (steam) injection functions to simplify the oil displacement/pulse simulation process in different oil reservoir exploitation processes. The experiment can relate to simulation of experiment processes of miscible-phase displacement and gas water alternative oil displacement, reservoir pulse unblocking, thick oil thermal exploitation storage layer steam injection, oil displacement-unblocking and the like. The device is reasonable in design, simple in operation process and capable of effectively simulating the multi-phase fluid oil displacement and pulse unblocking effects.

The invention discloses a cluster routing method based on a multi-factor trust mechanism developed for a wireless sensor network. The multi-factor trust mechanism is adopted for guaranteeing safety and reliability of nodes. Trust factors are selected by angles of communication, data and energy by the trust mechanism. A 'low-return and high-punishment' mechanism is adopted for preventing malicious nodes from increasing trust values rapidly through short-period lawful actions or surviving in the network in long terms by utilizing low trust values. Meanwhile, when a network topology is established, comprehensive trust values of the nodes are combined with cluster head election values and route communication cost to guarantee trusted cluster head election and trusted route selection. In the process of data transmission, the malicious nodes, selfish nodes and low-competitive nodes are removed according to the comprehensive trust values of the nodes, and thus, a safe and trusted network environment is established.

The invention provides a real-time traffic light recognition method based on space-time correlation and priori knowledge, and belongs to the field of traffic information detection in the intelligent transportation industry. The method includes the steps that firstly, regions of interest are positioned on an original image through the priori knowledge, and the regions unrelated to a traffic light are filtered out through empirical values; secondly, the red region and the green region of the traffic light are extracted and filtered on this basis through shape features; thirdly, sub-regions obtained through filtering are read in, the HOG features of the sub-regions are sequentially extracted, and a traffic light sample is trained through a classifier; fourthly, the current traffic light is recognized according to a discrimination function of the classifier, wherein if the front light is green, driving can be achieved, if the front light is red, a parking signal is sent out, and if both the green front light and the red front light exist, whether driving can be achieved or not is determined according to the space-time correlation information and lanes where vehicles are located. The method conforms to the detection and recognition characteristics of the traffic light, information of the traffic light can be accurately detected in real time, and the method is used in an intelligent vehicle and assists in correct and safe driving of the intelligent vehicle.

The invention relates to a method for detecting suspected online water armies for microblog, and belongs to the technical field of computer application. The method for detecting suspected online water armies for the microblog comprises the following six steps: correspondingly related microblog data collecting; data preprocessing; user characteristics extracting; training set building; water armies detection model training; and unlabeled data predicting and distinguishing. Compared with the prior art, the method for detecting suspected online water armies for the microblog has the advantages that the full utilization of the data is realized, the group discovery is conducted conveniently and quickly, a complicated classification detection model is not needed to be established, so that the complexity of an algorithm is reduced, the modularity of the algorithm is relatively high, the algorithm can be put into large-scale data for calculation, and the stability is relatively high; a single user can be conducted on online water armies detection, a group of users in a certain event can be identified, the modularity of the method is extremely high and the method can be stably applied to large-scale data calculation framework.

The invention discloses a method for realizing starting control under the state of deplaning of an aero turbo fan engine. In the method, a main control computer is employed to collect, process, convert, display and monitor the starting parameters of a turbo starter and the turbo engine such as temperature, rotating speed, fuel delivery and the like, thus realizing control of the turbo starter andthe turbo engine and starting process under the deplaning state of the engine (deplaning state refers to the state in which the engine works independently out of control of the plane). The method integrally uses virtual instrument technology, computer control technology, signal testing and processing technology and the like to replace all the functions of an installing aero turbo fan engine automatic starting device and partial functions of an engine comprehensive regulator; the method realizes the starting control of the aero turbo fan engine under the state of deplaning for the first time and greatly enhances the cost performance and reliability of the system.

The invention provides a building modeling method and device. The method includes the steps that airborne LIDAR data are preprocessed, and building point cloud information is extracted in non-ground points; the point cloud information is partitioned to obtain a building object; building regular frames are extracted; roof points are classified according to surface patches; a building model is established according to the classification result; the effect of the established model is displayed. By means of the building modeling method and device, the precision of the building model is greatly improved, and the degree of automation of building extraction is further improved.

The invention discloses a testing system and a testing method for mechanical property of a coal rock test piece. The testing system comprises traditional mechanical property testing, a medical image and rock breaking intelligent monitoring; the traditional mechanical property testing comprises a mechanical index testing system and a hydraulic control continuous loading system; the medical image comprises an X-optical mechanical scanning system and an enhancing image system; the rock breaking intelligent monitoring comprises a sound emitting monitoring system and a thermal infrared monitoring system. The testing method for the mechanical property of the coal rock test piece particularly comprises the following steps that 1 a mechanical test platform and DR/CR image equipment are started; 2 the coal rock test piece is placed on the carrying disc position of a mechanical test machine, and an AE sensor and the test piece are fixed; 3 a contrast agent is injected; 4 one-time DR/CR image scanning is conducted; 5 a mechanical property test is carried out on the coal rock test piece. The obtained image is clear in picture, the analysis carried out on the microscopic scale such as internal microcracks of the rock sample test piece is achieved, and the experimental data are more accurate.

The invention belongs to the technical field of lithium ion batteries, and specifically discloses a lithium ion battery health state on-line diagnosis method. The method includes the steps of 1, performing total-interval direct current internal resistance testing on battery samples, and calculating to obtain direct current internal resistance of the batteries at different SOC points; 2, determining a stable SOC interval of battery direct current internal resistance; 3, in a cycle use process of the batteries, performing one-time pulse charging/discharging on the batteries, and recording battery voltage change in a current abrupt change process; 4, according to the data recorded in Step 3, using the formula R=[delta]U/[delta]I to calculate internal resistance of the batteries at different time; 5, according to internal resistance values of different batteries at different time, calculating and analyzing battery polarization internal resistance change; 6, performing differentiation on internal resistance and capacity relative to the number of times of cycles to obtain a change rate distribution diagram of internal resistance and capacity; and 7, comprehensively judging the health states of the batteries, and finally adopting two pieces of data of polarization internal resistance and the internal resistance change rate to perform double judgment on the health states of the batteries.

The invention relates to a method and system for monitoring a process based on slow feature analysis. The method comprises the steps of reading a slow feature model and a monitoring model, reading in an online measurement value of a process variable, forming an input vector, and inputting the input vector into the slow feature model to obtain an online real-time estimation value of a slow feature vector s(t); inputting a vector s1:M (t) formed by front M slow features into the monitoring model to obtain instant evaluation values of T<2> and S<2>; comparing T<2> with Ta<2> and S<2> with Sa<2>, judging that the process is shifted from a steady state operation point if T<2> is greater than or equal to Ta<2>, and judging that the process is subjected to dynamic feature variation if S<2> is greater than or equal to Sa<2>. According to the technical scheme, the shift of the steady state operation point can be monitored, and the dynamic feature variation of the process can be effectively monitored.

The present invention relates to a method for implementing repeated fracturing treatment to make new fracture for low permeability oil field. Said invention utilizes elliptic fracture to described primary fractured artificial fracture, and combines tensional breaking criterion and shear breaking criterion so as to obtain the theoretical basis for repeatedly-fracturing to make new fracture. Said invention utilizes this theoretical basis to provide various fracturing processes for implementing the invented method.

The invention belongs to the technical field of environmental organisms, and relates to paracoccus denitrifican with heterotrophic denitrification, autotrophic denitrification and iron reduction functions and a culturing method and an application thereof. The bacterium is paracoccus denitrifican ZGL1 with the collection number CCTCC M2012158, and can be used for completing heterotrophic denitrification and autotrophic denitrification processes (including sulfur autotrophic denitrification and iron autotrophic denitrification) and effectively reducing ferric iron. During waste gas treatment, reduction of Fe(II)EDTA-NO and regeneration of Fe(II)EDTA are realized simultaneously for the same strain in a BioDeNOX denitration process, the aim of continuously denitrating is fulfilled, and low energy consumption, small investment and low running cost are realized. During waste water treatment, the strain can be used for removing nitrate and nitrite from waste water in a heterotrophic denitrification process, can be applied to waste water denitrification through sulfur autotrophic denitrification and iron autotrophic denitrification processes, is low in cost, and has a simple process.

The invention discloses a correction method of an electronic compass in an underwater vehicle, which comprises the following steps of: inquiring magnetic declination, and carrying out corrected navigation on the water surface of the vehicle; recording navigation data by a navigation sensor; exporting correction navigation data from a communication module; searching a hard magnetic interference parameter, solving the error surface plot between a correction track and a reference track under the condition of (2N+1)<2> disperse hard magnetic interference parameters, wherein the minimum point corresponding to the surface plot is the search result; according to the set correction precision requirement, repeating and reducing the search range and grid, and re-searching to obtain a more precise hard magnetic interference parameter evaluation value; and finally, applying the searched magnetic parameter evaluation value in the navigation of the underwater vehicle. The method disclosed by the invention has the advantages that the operation is simple, the influence of the outer magnetic interference to the electronic compass in the underwater vehicle can be effectively eliminated and thus, the corrected electronic compass can return back to the corrected attitude angle.