58results about How to "Data acquisition is simple" patented technology

The invention provides a data interactive processing method of an online transaction system and a bank system. The online transaction system comprises a third-party pavement platform. The method comprises the following steps: the user submits a loan request according to the user transaction price data transferred in the third-party pavement platform; the online transaction system converts the transaction price data into loan warranty information according to the request and sends the loan warranty information to the bank system; the bank system generates the loan information of the user according to the loan warranty information and converts the loan information of the user into the loan of the amount corresponding to the load information to the account of the user, and the account of the user includes the account of the user in the third-party pavement platform or the correlative bank account. The data interactive processing method of an online transaction system and a bank system can satisfy the online load requirement of the user, guarantee the high coupling of the user credit data and the loan data with the processing of the bank system, increase the accuracy of the credit evaluation of the bank and guarantee the interactive real-time performance, and enables the user to obtain better operating experience.

A method and apparatus for recording and analyzing the gait of an animal is provided. The apparatus can take the form of a gait imaging system. The system includes a movable belt track upon which a subject can ambulate. An imaging device is disposed below the belt track to record contact between at least one limb of the subject and the belt track. The subject can ambulate along the belt track in a substantially stationary location above the imaging device as the belt track moves, and the imaging device can record the contact by the subject. A method of recording a gait of an ambulating subject is also provided. The method includes locating the subject on a movable belt track. The subject is motivated to ambulate along the movable belt track at about the same rate as the movable belt track, while the belt track is moving, such that the location of the subject does not substantially change. Contact made by at least one limb of the subject with the belt track is recorded with a recording device underneath the belt track. Additional kinematic analysis can occur of the subject's gait. The method of recording can further include transmission of the gait images to a computing apparatus. The computing apparatus can identify footprint image data, including filtering out unwanted noise. The computing apparatus can then carry out the kinematic analysis, including calculation of physiological information relating to the subject.

The invention discloses an experimental test method for subcritical propagation rate of rock fractures based on triaxial stress-strain curve, including: Step 1: preparing test sample core for experiment; Step 2: putting core into triaxial rock mechanics test system, applying constant radial confining pressure to core, and applying axial stress in the axial direction until the core is macroscopically damaged; recording experimental parameters of axial stress, strain and corresponding loading time of the core; Step 3: drawing stress-strain curve of the test core according to detection data points of axial stress and axial strain; Step 4: in the stress-strain curve of the test core, starting time and ending time of the subcritical propagation stage of fractures inside the core correspond to the initiation stress σci and damage stress σcd, respectively, and calculating subcritical propagation rate of the subcritical fracture propagation stage of the test core.

The invention discloses a method for identification and abundance prediction of coalbed methane reservoirs by using comprehensive logging data of gas exploration of unconventional gas reservoirs; the method comprises the steps: reading the depth and thickness of a special lithologic stratum on a rock core and deleting the stratum section with the corresponding depth on a logging curve; calculating the logging data in a working zone to obtain the mean value and the variance of the physical property data of a coalbed, establishing a multi-parameter abundance prediction formula for the coalbed methane after being subjected to standardization treatment, and obtaining a stratum gas content changing curve; and performing the identification and abundance prediction of the coalbed methane reservoirs according to the stratum gas content changing curve. The method is simple and easy in operation, low in cost and high in operating efficiency; the thin coalbeds can be identified accurately and the abundance prediction results of reservoirs of coalbed methane are reliable.

The invention discloses a distribution network line fault section positioning method based on current break rate. The distribution network line fault section positioning method includes analyzing phase current characteristics of fault phase current before faults and before an arc suppression coil acts for ground faults, extracting fault characteristics from the phase current characteristics, and positioning by adopting full-process waveform current break rate. The distribution network line fault section positioning method only needs to measure phase current of line faults, is simple and high in applicability, and the problems of fault current weakness, poor reliability and sensitivity when a small-current grounding system has single-phase grounding faults commonly can be well solved. Meanwhile, interference cannot be introduced.

The invention discloses a method for acquiring discrete state parameters of a power transformer, which solves problems of difficult power transformer state parameter recognition and difficult power transformer multi-source data mining. According to the invention, a discrete gas state parameter is acquired by adopting an improved equal width method according to the type and the content of dissolved gases in tested power transformer oil; a discrete partial discharge state parameter is acquired by adopting an information entropy decision tree method according to a discharge capacity statistical parameter, a discharge phase statistical parameter and a number of discharge statistical parameter; a discrete winding state parameter is acquired by adopting a binning method according to winding deformation and short-circuit current; and a discrete mechanical state parameter is acquired by adopting a chi-square test method according to the transformer temperature, vibration and noises. The method disclosed by the invention is applicable to the fields of power equipment detection and data mining, has the characteristics o f accurate data, high work efficiency, wide fault coverage, easy computer processing and the like, and has high economic values and broad market application prospects.

The invention discloses a control method and a control system which avoid the face cargo sling from colliding with a frame and / or a lifting arm; the method and the system judge if the cargo sling is in the state of being inclinable to collide with the frame or / and the lifting arm; if the cargo sling is in the state of being inclinable to collide with the frame or the lifting arm, the rotation angle of the cargo sling is detected; the relation of the rotation angle of the cargo sling and the critical angle is monitored; when the rotation angle of the cargo sling is less than the critical angle, the rotation angle of the cargo sling is not limited; when the rotation angle of the cargo sling is not less that the critical angle, the cargo sling is prevented from rotating to the direction apart from the central position, so as to prevent the cargo sling from colliding with the frame and the lifting arm; the critical angle is the minimum rotation angle when the cargo sling collides with the frame or the lifting arm; namely, the critical angle is the maximum allowed rotation angle before the cargo sling collides with the frame or the lifting arm. The control method and the control system provided by the invention is particularly applicable to avoiding the face cargo sling from colliding with the frame or / and lifting arm.

The invention discloses a section instantaneous power-based method of positioning fault sections of distribution network lines. A DC component of the section instantaneous power of a non-fault section rarely changes during normal running and fault occurrence, and a value of the DC component is a minimum positive number; a DC component of the section instantaneous power of a fault section increases prior to decreasing and is up to a maximum during a period of from fault occurrence to acting time of an arc suppression coil and a period when stable compensating current is output; therefore, according a multiple of increase of the DC component of the instantaneous power after fault occurrence, the fault section can be determined, and fault positioning is achieved. By making use of waveform data of a whole process from the fault occurrence to the acting time of the arc suppression coil, the use of zero-sequence current is avoided, the problem that the existing general low-current ground system has weak fault current, poor reliability and low sensitivity during single-phase ground faulting is well solved, and no interference is caused to a system.

The invention discloses a multi-task vehicle component identification model, method and system based on deep learning. The method comprises the following steps: establishing a vehicle component database based on a vehicle image database and marking the vehicle component, performing image data enhancement on the vehicle component database to obtain a vehicle component training set; training a deepresidual network by using the vehicle component training set to obtain the vehicle component identification network; counting concurrence probability of different types of multiple vehicle componentsto obtain the joint probability of multiple vehicle components, and establishing a data set for the multi-task vehicle component identification and the corresponding multiple labels based on the jointprobability of multiple vehicle components; and training the vehicle component identification network to obtain the multi-task vehicle component identification model. The to-be-detected vehicle imageis identified by using the multi-task vehicle component identification model, thereby obtaining the probability of each vehicle component in the to-be-detected vehicle image. The network disclosed bythe invention is simple in training, easy to converge, easy to acquire data and high in identification accuracy rate.

The present invention relates to an ultrasonic myocardial tagging and imaging system (30), in which an ultrasonic contrast agent, e.g. microbubbles, is introduced to the myocardial area and allowed to circulate. a high-MI pressure field is applied to selectively destroy regions of the contrast agent in a known geometry so as to create a “tag” (102) comprising a predetermined pattern of non-echogenic regions (102b) and echogenic regions (102a). Movement of the tag (102) relative to the myocardium (100) is tracked so as to monitor movement and / or de formation of the wall tissue and assess myocardial viability.

The invention discloses a distribution network line fault section locating method based on a standardization drift rate. The fault feature quantity is extracted from a ground fault by analyzing the phase current features of fault phase current before a fault occurs and during the time period between fault occurring and the action of an arc suppression coil, and the full-process waveform standardization drift rate is adopted for locating. Only the fault phase current of a line needs to be measured, the scheme is simple, high adaptability is achieved, the current ubiquitous problems that when a small current grounding system has a single-phase earth fault, the fault current is weak, reliability is poor, and sensitivity is low can be solved well, and meanwhile no interference is introduced into the system.

A method for regulating HCCI combustion of fuel in a reactor of an internal combustion engine is described in which a multivariable regulation is used, manipulated variable changes Δuk for the instantaneous regulating cycle k being determined on the basis of at least system deviations Δxk-1 and manipulated variable changes Δuk-1 of a preceding regulating cycle k−1.

The invention discloses an early warning device of a vehicle based on binocular panoramic stereoscopic vision, and relates to the field of intelligent driving. The early warning device comprises an external collection device and an internal control device. The external collection device collects panoramic stereoscopic images around the vehicle through three binocular stereoscopic cameras with horizontal visual angles and same included angles, the images are processed by a central processing unit of the internal control device, image splicing, environment recognition and speed detection and judgment are achieved, and an alarm device gives out early warning. According to the early warning device, a vision-based sensing technology is adopted, the data is easy to obtain, and the information amount is large; meanwhile, due to the adoption of a single sensing technology, the complexity of the system is reduced, and therefore the cost is reduced; meanwhile, real-time early warning on potential danger of the vehicle is achieved, and the driving level of the intelligent vehicle is further increased.

The invention discloses a shared electric vehicle station user demand prediction method. According to the method, a station is selected as a circle center, two data acquisition subsystems are established by taking a buffer area within a range of square and round one kilometer as a research object, wherein one system acquires characteristic data such as population economic characteristics, employment, entertainment, medical service, traffic modes and road networks in the buffer area, and the other system acquires parking space number data of a station, and travel data of the shared electric vehicle in the continuous time; deep mining and fusion are performed on the two pieces of data to form input data, and finally a whole set of shared electric vehicle station user demand prediction technology is established based on semi-parametric spatial geographic weighting Poisson regression; The technology can provide user demand change prediction support for the design of a berth number change adjustment scheme in the existing site layout, the influence of site surrounding built-up environment change on site user demands and the like.

The invention relates to a method for determining whether a water injection well needs to on-line acidification or not and the acidification degree. The method includes the following steps that 1, according to a measured wellhead pressure drop curve, a single-well wellhead pressure index PI value is obtained; 2, the water injection well bottom flowing pressure Pwf(t) and the well bottom pressure Pws (delta t) after the well shut-in time (delta t) are calculated; 3, the water injection well non-dimensional well bottom pressure decrease value delta p'wf (delta t) is calculated out; 4, the water injection well non-dimensional well bottom pressure index A is calculated out; 5, the sectional average non-dimensional well bottom pressure decrease value and the sectional average non-dimensional pressure index are calculated; 6, the sectional average non-dimensional pressure index is compared with the single-well non-dimensional pressure index to judge whether the water injection well needs to on-line acidification or not; 7, According to the non-dimensional pressure indexes before and after under-injected well acidification, whether the on-line acidification is complete or not is judged. The method had the advantages of being low in operation cost, low in safety risk and simple in operation, can achieve the scientific instruction on the on-line acidification of the water injection well, the water injection development effect is improved, and the oil field recovery rate is improved.

The invention relates to a method for drawing a regional road network traffic condition macroscopic basic diagram. The method comprises steps that 1), flow and saturation data of crossing lanes is acquired through an SCATS coil, and data cleaning is carried out to remove abnormal coil data and abnormal period data; 2), an occupancy rate is calculated through utilizing the SCATS data; 3), the occupancy rate is corrected; 4), weighted average of the occupancy rate and the flow at the fixed period is carried out; and 5), the occupancy rate and the flow after weighted average are utilized to draw the network traffic condition macroscopic basic diagram. The method is advantaged in that the real-time data based on the SCATS coil is more accurate compared with the prior art.

The invention discloses a distribution network line fault segment positioning method based on differential offset degree. An earth fault is positioned through analyzing the phase current characteristics of a fault phase current before fault occurrence and during the period from fault occurrence to action of an arc extinguishing coil, extracting a fault characteristic quantity from the phase current characteristic and utilizing the full-course waveform differential offset degree. The distribution network line fault segment positioning method only requires measurement for the fault phase current of the line and has advantages of simple solution and high applicability. The distribution network line fault segment positioning method can well settle problems of weak fault current, low reliability and low sensitivity which commonly exist in single-phase earth fault of a small-current earth system. Furthermore an interference to the system is prevented.

The invention discloses a Euclidean distance-based distribution network line fault section locating method. According to the method, as for a grounding fault, phase current feature of fault phase current before a fault occurs and during a time period from a time point when the fault occurs to a time point before an arc suppression coil acts are analyzed, and phase feature quantity is extracted from the phase current feature, and positioning is performed through adopting a whole-process waveform Euclidean distance. With the Euclidean distance-based distribution network line fault section locating method of the invention adopted, only the fault phase current of a line should be measured, and problems of weak fault current, low reliability and low sensitivity which universally occur when a single-phase grounding fault of a small-current grounding system appears can be solved, and interference will not be led into the system. The Euclidean distance-based distribution network line fault section locating method has the advantages of simple scheme and high applicability.

The invention discloses an identification method for dynamic association degree of chemical flooding injection production wells. The identification method for the dynamic association degree of the chemical flooding injection production wells includes that (1) simultaneously recording an actual chemical agent injection concentration value of an injection well and an actual chemical agent output concentration value of each production well according to a time interval t during the time period T from the chemical agent injection to the test starting; (2) fitting the actual chemical agent output concentration value of each production well according to the actual chemical agent injection concentration value and a calculated chemical agent output concentration value of each production well to obtain dynamic association indexes of the injection well connected with each production well in the well group; (3) drawing a chemical flooding inter-well dynamic association graph; (4) calculating variable coefficients of dynamic association indexes, and confirming the chemical flooding inter-well dynamic association type. The identification method for the dynamic association degree of the chemical flooding injection production wells fully uses the dynamic information of the oilfield injection production wells, the data are easy to acquire, the operation is easy to perform, and the application is broad; the identification method provides the basis for identifying the fluid channeling situation of chemical agent solution in the stratum, guiding the production allocation, injection allocation, profile control and water plugging of each chemical flooding injection production well and the like.

The invention discloses a distribution network line fault section positioning method based on correlation coefficients. For a grounding fault, the characteristics of the phase current before the occurrence of the fault and during the period from the occurrence of the fault till the actuation of an arc-suppression coil are analyzed, and then the fault characteristic quantity is extracted therefrom. Meanwhile, the fault is positioned based on waveform correlation coefficients during the whole process. According to the technical scheme of the invention, only the phase current of the line fault needs to be measured, so that the method is simple in scheme and strong in applicability. The current widespread problems of a small-current grounding system, such as weak fault current, poor reliability and low sensitivity during the occurrence of a single-phase grounding fault, can be well solved. Meanwhile, no interference is introduced into the system at the same time.

The invention discloses a bore slug test method, which comprises the following steps: (1) a portable computer is connected to the data output port of a data acquisition card through a signal transmission cable, and the data input port of the data acquisition card is connected to the data output port of a pressure transmitter and sealed to resist water; (2) the pressure transmitter is put into a tested borehole, and gets to a specified depth below the underground water level, and the depth is set on the site according to an excited water head height; (3) sampling frequency is set through the software interface of the portable computer, and the pressure transmitter is started to acquire data; (4) after obtaining the data acquired by the pressure transmitter, the portable computer carries outinstant excitation on the underground water level in the tested borehole; (5) through the software interface of the portable computer, the changing and recovering process of water pressure is observed, and when displayed pressure data approximates or reaches an initial value, the test is over. The bore slug test method has the advantages that the manual operation process is simplified, the bore slug test method can be conveniently mastered by on-site technicians, and the on-site working efficiency is increased.

The invention relates to a multi-aircraft route planning method based on a hydrological model. The method is characterized by comprising the following steps of 1) selecting DEM data of a research area, and realizing DEM re-sampling by applying ArcGIS data management; 2) extracting a river network and contour lines, establishing a geometrical network through superposition of the river network and the contour lines, and carrying out topology analysis and topology error processing, more specifically, (1) extracting the river network formed by valley lines through hydrological analysis, (2) generating the contour lines based on an ArcGIS three-dimensional analysis technology, (3) superposing the valley lines and the contour lines to generate the geometric network, and (4) carrying out topologyanalysis, topology error processing and geometric network trimming; 3) carrying out local path searching, and determining the planning range of an aircraft in the geometric network; and 4) determining a route planning model, and computing an optimal route. According to the method, the optimal route selection problems such as flight safety, flight range, aircraft performance and the like are considered, the model is simple, the mature ArcGIS spatial analysis technology is utilized, the design is rapid and convenient, non-professionals can also easily complete, and the application range is wide.

The invention relates to a remote sensing estimation method for sea ice surface roughness, which is used for analyzing the spatial and temporal distribution and regional characteristics of polar region sea ice surface roughness based on passive microwave satellite remote sensing data. The method comprises the steps of: extracting sea ice density information and brightness temperatures of differentfrequencies and different polarization modes from AMSR-E data; obtaining the surface reflectivity of ice-water mixed pixels through the sea ice density information and known sea ice surface and sea water surface reflectivity information; obtaining sea ice temperature according to the surface reflectivity information and the brightness temperature of the mixed pixels; obtaining surface reflectivity information of different frequencies and different polarization modes through the sea ice temperature and the brightness temperatures of different frequencies and different polarization modes; and finally, obtaining the sea ice surface roughness based on a semi-empirical model of an incoherent method. According to the invention, the polar region sea ice surface roughness can be obtained from AMSR-E data products with high efficiency.

The invention relates to a submarine topography analog simulation method based on multi-scale chart data. The submarine topography analog simulation method is mainly and technically characterized by comprising the steps: estimating the optimal scale of the multi-scale chart data; calculating associated chart data according to the geographic space range to be queried; extracting a water depth pointand a land area; performing regular grid interpolation on the submarine topography and splicing the submarine topography with sea and land; and constructing a sea-land three-dimensional rendering graph by using a colored tape color matching method. The method is reasonable in design, submarine topography analog simulation is achieved on the basis of chart data, and data acquisition is easier; through combination of multi-scale data, irregular features of chart framing can be flexibly adapted; through optimal scale estimation, better balance can be obtained in the aspects of effect and efficiency; after the submarine topography and the land topography are spliced, rendering is carried out through a unified color band, and the effects of attractiveness and high efficiency are achieved.

The invention discloses a method of for positioning fault sections of distribution network lines on basis of wide-area differential deviation. According to the method, for a ground fault, phase current characteristics of fault phase current before the occurrence of the fault and during a period of from the occurrence of the fault to acting time of an arc suppression coil are analyzed so as to extract fault characteristic quantities, and positioning is performed by means of waveform wide-area differential deviation during the whole course. only the fault phase current of a line needs to be measured, the scheme is simple, adaptability is high, the problems that the existing general low-current ground system has weak fault current, poor reliability and low sensitivity in case of ground fault is well solved, and no interference is caused to a system.

The invention discloses a featured town traffic distribution prediction method. The method includes: dividing traffic zones, subjecting feature information of each traffic zone to background prediction through a system balance method to obtain a background trip summation distribution prediction model among the traffic zones; acquiring tourist related information through featured town local resident tourist communication intention questionnaires; establishing a trip summation distribution prediction model for tourism induced traffic from other traffic zones to featured towns; establishing a trip summation distribution prediction model for tourism induced traffic from featured towns to featured towns; calculating according to the background trip summation distribution prediction model amongthe traffic zones, the trip summation distribution prediction model for tourism induced traffic from other traffic zones to the featured towns and the trip summation distribution prediction model fortourism induced traffic from featured towns to featured towns to obtain a final traffic trip summation distribution prediction model. Compared with the prior art, the prediction method has the advantage of prediction precision improvement.

The invention discloses a discharge energy function-based method of positioning fault sections of distribution network lines. Discharge energy of a non-fault section rarely changes during normal running and fault occurrence, and a value of the discharge energy is a minimum positive number; a DC component of a discharge energy function of a fault section increases prior to decreasing, and the DC component is up to the maximum value during a period of from fault occurrence to acting time of an arc suppression coil and a period when stable compensating current is under outputting; therefore, according to a multiple of increase of the discharge energy after fault occurrence, the fault section can be judged, and fault positioning is achieved. By making use of waveform data of the whole process of from fault occurrence to the acting time of an arc suppressor, the use of zero-sequence current is avoided, the problem that the existing general low-current ground system has weak fault current, poor reliability and low sensitivity in case of single-phase ground fault is well solved, and no interference is caused to a system.

The invention provides a data synchronization method and device and a storage medium, which are used for synchronizing a first type of data stored in a relational data model and a second type of data stored in a big data model. The method comprises the following steps: obtaining a unique first identifier of any data in the first type of data; obtaining a unique second identifier of any data in the second type of data; establishing a mapping relationship between the first identifier and the second identifier based on a preset conversion rule; and extracting the first data into the big data model based on the mapping relationship to form a big data model after data synchronization. The SQL is a description language of a relational database, and research and development personnel can easily write query SQL meeting business requirements. According to the invention, the mapping relationship between the SQL field and the e l ast i c search field can be configured through a visual interface, then the system automatically completes model conversion, data is synchronized to a big data model in cooperation with a full-amount and incremental strategy, an index is created and provided for research and development personnel to use, and the research and development cost is reduced.