245results about How to "Improve the degree of refinement" patented technology

The invention relates to a rainfall distribution and dynamic measurement method based on a big-data mobile communication network. The method comprises the following steps: (1) constructing a central server which is connected with a mobile terminal base station and establishing a data communication link among mobile terminals, base stations and the central server; (2) collecting transmitting power of the base stations and power, received by the base stations, of corresponding mobile terminals in real time; (3) establishing one-to-one correspondence relationships between the mobile terminals and some base stations and calculating the path attenuation of the communication link between each mobile terminal and the base station; (4) by taking the transmitting power of the base stations as a reference, calculating attenuation of signals of the mobile terminals caused by non-meteorological factors such as free space propagation loss, buildings, vegetation, unset obstacles and the like; obtaining rain-induced attenuation values of mobile terminal signals in unit distance; establishing correlative relationships between the signal attenuation characteristic of the mobile terminals and rainfall intensity distribution; carrying out fusion analysis with professional meteorological data such as a rain gauge, weather radar and the like to obtain areal distribution of rainfall and dynamic changes of rainfall.

The present invention discloses an aluminum electrolytic MES system based on an accurate perception and an intelligent decision. The system comprises an electrolytic tank online detection device (1) for detecting aluminum electrolytic real-time production data, an online detection data collection device (10) for collecting real-time production data, an intelligent mobile terminal (2) for obtaining the position information of an operator, a plant wireless or wired network (3), a production billboard (4) for information display, an information integration platform (5), a production management system (6) based on production process real-time data, an aluminum electrolytic process energy management system (7), an expert operation system (8) based on electrolytic tank (11) real-time production data, and an intelligent controller (9) for production control. According to the system, the degree of precision and the automation level of the aluminum electrolytic production management and control can be improved, the management efficiency is improved, and the influence on aluminum electrolytic production brought by personnel technology and management level differences can be reduced.

A holographic detection system for a steel wire rope, having a detection device, a stroke metering device, a data acquisition and conversion workstation, an alarm controller, and a terminal control master station is provided. The detection device further specifically has a steel wire rope electromagnetic detection device, a steel wire rope machine vision damage recognition device, a steel wire rope machine vision diameter measurement device, and a damage location marking device. The holographic detection system for a steel wire rope may perform comprehensive evaluation on the damage situation of the steel wire rope and refine damage data information, thereby comprehensively improving the refinement degree of detection and the detection accuracy.

The invention provides a rapid extraction method for dense point cloud oriented toward city three-dimensional modeling. The rapid extraction method comprises the steps of: 1) preparing data; 2) establishing a coordinate grid; 3) converting an image into a gray scale image; 4) judging whether a difference value between a gray value of each target pixel point and a gray value of a neighborhood pixel point is greater than a threshold value A, if so, regarding the target pixel point as a candidate angular point, and if not then rounding; 5) calculating a corner response function (CRF) value of the candidate angular point, and judging whether the CRF value of the candidate angular point is greater than a threshold B, is so regarding the candidate angular point as a feature point, and if not then rounding; 5) matching homonymy points; 7) generating seed points; 8) conducting regional diffusion; 9) conducting gross error elimination; 10) and generating dense point cloud to form a tin for establishing a three-dimensional model. Compared with the prior art, the rapid extraction method provided by the invention has the advantages of small error, high precision, high operation efficiency, wide application extension and the like.

The invention belongs to the field of tunnel traffic safety monitoring, and specifically relates to a tunnel emergency determining method based on license plate identification. The method includes the steps of installing, deploying and commissioning gate systems on a tunnel entrance and a tunnel exit, the gate systems acquiring, recording and storing data of vehicles passing the tunnel, calculating the passing time threshold Tt of the tunnel, determining an acquisition period, obtaining a sample set, calculating travel times of vehicles passing the tunnel, calculating average travel time of the vehicles, and determining the occurrence of an emergency in the tunnel. Passing vehicle data feedback and calculation through gate systems allow occurrence of an emergency in a tunnel to be know timely and accurately. Timely active early warning is realized, and effective escaping guiding information can be provided to passengers and drivers.

The present invention discloses an expert system based on electrolytic tank real-time production data. The system comprises a data integration platform (1) for integrating aluminum electrolytic production process real-time production data, a condition pre-judgment sub system (2) for carrying out early warning and alarming on the operation and condition in an aluminum electrolytic production process and diagnosing the condition of an electrolytic tank operation state, an operation guidance sub system (3) for carrying out optimal operation guidance on the aluminum electrolytic production process, an operation evaluation subsystem (4) for evaluating the operation of the aluminum electrolytic production process and providing data support for performance assessment, and a statistical analysis subsystem (5) which is responsible for analyzing the daily process parameter, daily operation state and daily performance assessment in the aluminum electrolytic production process and predicting an electrolytic tank operation trend and generates a corresponding report. According to the system, the degree of precision and automation level of aluminum electrolytic production management and control can be improved, the management efficiency is improved, and the influence on aluminum electrolytic production brought by a technical personnel and management level difference is reduced.

The invention discloses a hierarchical data processing method for a large-scale real-time rainfall automatic observation station based on dynamic interpolation. The hierarchical data processing methodcomprises the following steps: step 1, receiving and processing reported data of national automatic observation stations in real time; step 2, judging an abnormal value; Step 3, equal time period processing; Step 4, screening and eliminating error values; And 5, performing interpolation calculation on the basin surface rainfall. According to the hierarchical data processing method for the large-scale real-time rainfall automatic observation station based on dynamic interpolation provided by the invention, after abnormal points are found, the abnormal points are interpolated by adopting a 'static weight + dynamic interpolation' method, so that the interpolation efficiency and effect are improved, and the accuracy of rainfall data is improved.

The invention relates to a design method of a ballastless track roadbed structure of a high-speed railway. The method comprises the following steps of providing aA simplified model of ballastless track load distribution is provided; establishing a dynamic modulus-strain relationship model of the coarse-particle roadbed filler; carrying out homogenization treatment on the supporting layer, the subgrade surface layer and the subgrade bottom layer by adopting modulus and thickness equivalent assumption of an Odemark method, and calculating subgrade stress and strain from the supporting layer by adopting a Buchner Boussinesq formula; considering a nonlinear relationship between roadbed filler strain and deformation modulus, and constructing a roadbed structure design method based on iterativecomputation; and optimizing a roadbed structure based on roadbed surface dynamic deformation and a roadbed bottom layer dynamic strain control criterion. According to the design method, fFor the ballastless track roadbed structure, the roadbed load distribution rule can be more reasonably represented, the influence of the nonlinear relationship between roadbed filler strain and deformation moduluson roadbed stress-strain calculation is reflected, and the refinement degree of ballastless track roadbed structure design is improved.

The invention relates to a completion and fracture integrated pipe column of an offshore openhole horizontal well and a construction method of the pipe column. The pipe column comprises a casing pipe, a bottom completion pipe column and a top tie-back pipe column, wherein the top tie-back pipe column comprises a plurality of stages of fracture construction groups, except a first stage of fracture construction group, each stage is provided with more than two sliding sleeves for providing fracturing fluid jetting outlets, the fracturing number is large, and two packers are arranged at two ends for sealing and isolating. Besides, a safety valve, a top packer and a circulating valve are further arranged on a tie-back oil pipe of the top tie-back pipe column; the safety valve is arranged in the position close to a well mouth and connected with a control terminal on the ground; the top packer is located between the safety valve and a hydraulic anchor; and the circulating valve is located between the hydraulic anchor and the top packer. According to the completion and fracture integrated pipe column of the offshore openhole horizontal well and the construction method of the pipe column, the fracture number of each fracture construction section multiplies under the condition that drop balls are not increased, so that the refining degree of fracture is improved, and oil or gas yield is increased; and meanwhile, requirements and limitation of offshore operation for safety and environment protection are met.

The invention discloses a flexible service scheduling system and method capable of adjusting the window-opening number in real time. The system comprises a user and staff management module, a historical synchronous data management module, an algorithm parameter management module, a scheduling period management module, a unit time definition management module, a window number generation module, a new scheduling module, and a scheduling management module. According to the scheduling system, a scheduling table can be obtained through prediction, a prediction result can be corrected according to the change of the actual window numbers in different periods, the optimized prediction result is obtained, and a scheduling result is generated; and through limitation on the login of window staff and monitoring and data analysis of various states, the management function of the window staff is effectively realized, the window staff can directly ask for leave and change shifts in the system, the system can adjust the scheduling plan and check various statistical data of the window staff after successful application, and a basis is provided for scientific scheduling.

The invention provides a modeling method for power system transient state stability assessment. The method includes the following steps that power generator track information and a transient state calculation result are collected; a feature value of a power generator is calculated; an initial mathematic model X and a transient state stability assessment mathematic model F are formed; dimensionality reduction is conducted on the transient state stability assessment mathematic model F to obtain a two-dimensional standard mathematic model D. Multidimensional counting is conducted on power generator track curves, a statistic curve can reflect main mean values, change ranges and change rate features of each track curve, statistic features are irrelevant to the scale of a system, the dimensionality curse problem caused by increasing of an analysis system in the data modeling process can be effectively avoided, and meanwhile adverse of power generator information loss on calculation can be reduced to the largest extent.

The invention discloses an automatic inspection method and device for aluminum electrolysis cell condition, wherein an intra-workshop leading line (16) is arranged in an electrolysis plant (14), an inspection robot (17) is used for automatically travelling along the intra-workshop leading line (16) according to a preset operation plan; after the inspection robot (17) travels to a designated electrolysis cell (15), an infrared imager (5) and a laser analyzer (3) arranged in the inspection robot (17) carry out data collection on the condition of the electrolysis cell (15) according to preset test requirements; and after the collected data is preprocessed by an IPC (industrial personal computer) (7) arranged in the inspection robot (17), the data is sent to a data center (19) of an electrolytic workshop in real time by a mobile internet signal transmitter (8). The method and the device can improve the refining degree and the automation level of aluminum electrolysis production and control, improve the management efficiency, and reduce the influence of difference of technique and management level of personnel on aluminum electrolysis production.

The invention relates to the technical field of remote sensing technologies and geographic information systems, in particular to a farmland portrait and pesticide fertilizer big data analysis method based on satellite remote sensing images for agricultural big data analysis, which comprises the following steps: 1) acquiring satellite image remote sensing data; 2) preprocessing remote sensing data;3) extracting crop planting types; 4) extracting plot vector information of the satellite image; 5) inputting attribute field information for the plot vector; 6) investigating the input plot attribute field, and 7) performing big data operation and screening analysis on the collected plot information. The farmland portrait and pesticide fertilizer big data analysis method based on the satellite remote sensing image has the advantages of being high in farmland data precision, high in refinement degree and high in data persuasion.

The invention discloses a glazing device for tile production equipment. The glazing device for tile production equipment comprises a spray gun, wherein the spray gun is provided with a nozzle; the nozzle comprises a first body (1), a second body (2), a connecting element (3), a fluid channel (4), a mixing oscillation cavity (5), an outlet part (6), a spiral rotor (7), a gas channel, wherein the fluid channel, the mixing oscillation cavity and the outlet part are sequentially arranged in the fluid flow direction, the glazing device is characterized in that the mixing oscillation cavity (5) is internally provided with the spiral rotor (7), the spiral rotor comprises spiral blades (71) and a rotating shaft, the spiral blades are arranged on the periphery of the rotating shaft, the two ends ofthe rotating shaft are connected with guide frames (10) through bearings (72), the two guide frames are positioned on the first body and the second body respectively. Through the design of the spiralrotor and air inlet holes, the glaze liquid/the liquid is atomized into smaller atomized spray in the mixed oscillation cavity, the atomization refinement degree is high, the atomization is uniform and stable, the glaze spraying yield is improved, and the raw material utilization rate is improved.

The invention discloses a power transmission tower defect identification method based on a high-accuracy positioning multi-rotor unmanned aerial vehicle. The power transmission tower defect identification method comprises the following steps: (1) spraying a positioning point to a tower body in a power transmission tower patrolling region; (2) calibrating a control point in a surface stabilizationregion and measuring the coordinates of the control point; (3) erecting a ground reinforcement positioning reference station at the control point; (4) setting three-dimensional coordinates and a lensdirection for hovering the multi-rotor unmanned aerial vehicle, and starting the multi-rotor unmanned aerial vehicle; (5) hovering the unmanned aerial vehicle at a fixed position, calibrating a shooting direction through the positioning point, and shooting and numbering N pictures; (6) when the patrolling work is carried out, repeating the operations in the steps (3) to (5) to acquire reshot images; (7) respectively correcting the N reshot pictures according to a standard picture through the positioning point; (8) traversing pixel points of overlapped phase-and-amplitude parts of the corresponding pictures by using an image identification program; (9) calibrating areas having a pixel difference exceeding a threshold value; and (10) judging whether the calibrated part is a tower defect or adefect prewarning. By the power transmission tower defect identification method, equipment defects can be found early, so as to improve the refining and standardizing degree of the patrol work.

The invention relates to the field of energy consumption analysis and prediction of a heat supply system, and particularly relates to a method and system of heat network energy consumption index analysis and early warning based on a BP neural network. The method of the heat network energy consumption index analysis and early warning based on the BP neural network comprises the following steps thatthe working condition data is collected; the working condition data is processed; energy consumption indexes in real time are calculated according to the processed working condition data, and the energy supply situation of the heat network is analyzed; the energy consumption indexes are predicted according to a prediction model; and early warning is carried out on the operation energy consumptionof the heat supply system according to the real-time energy consumption indexes and the predicted energy consumption indexes, and online analysis and comparison are performed on the energy consumption indexes, the energy consumption level of the operation of the heat supply system can be calculated on line in real time, and energy consumption early warning can be achieved based on a prediction result, an operation scheduling strategy is adjusted, the improvement of the fine degree of operation regulation and control of the heat supply system is facilitated, and the operation energy consumption level of a hot net is reduced.

The embodiment of the invention provides a data processing method and device for train operation simulation based on urban rail transit. The method comprises the following steps: carrying out classification management on train line design data; performing track unit section division on a main track based on the train line design data to enable each track unit section to be a section with the maximum length meeting the same slope, curve and speed limiting conditions in the track unit section, and numbering each track unit section; based on the train line design data, carrying out driving section division on a track main line and a track turning line, and numbering each driving section; describing a train running path for simulation based on the serial number of each running section, and describing train running data on the train running path based on the serial number of each track unit section. The refinement degree of urban rail transit operation simulation calculation analysis can beeffectively improved.