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 invention relates to an emission monitoring time series data abnormal value detection method for a coal-fired unit. Specifically, all-working-condition historical sample data set of a measured point is subjected to working condition division by applying a k-means clustering algorithm according to unit operation states and environment-protection facility operating ways; then specific to each working condition historical sample data set, an abnormal value detection model is established based on a statistical hypothesis test method; and the time series data of the measured point is subjected to online identification by selecting different hypothesis test methods according to data distribution characteristics of the working condition sample set, and then abnormal points which are inconsistent with historical distribution and current change tendency can be positioned in time. Abnormal value online detection on the field monitored data is performed by the hypothesis test methods, and the abnormal points which are inconsistent with historical distribution or current change tendency can be dynamically identified, so that early warning for more complex fault monitoring is provided, refine degree of alarming is improved, and online monitoring management level and rapid response capability are improved.

The invention discloses a macroscopic fundamental diagram-based road network key section identification method. The method comprises the steps of 1, acquiring the traffic flow, the average speed and the time occupancy data of each road section of an urban road network A; 2, calculating a weighted flow and a non-weighted density of the road network within each acquisition period; 3, getting a set of samples; 4, drawing a macroscopic fundamental scatter diagram; 5, calculating the critical weighted traffic flow of the road network MFD; 6, arbitrarily deleting one road section, and calculating the critical weighted traffic flow of the road network (-i)MFD without the above deleted road section and the floating value of the MFD critical weighted traffic flow of the road network A; 7, adopting the clustering analysis method for classification, and extracting a threshold r and a key road section. According to the technical scheme of the invention, the defect that the key section identification result based on the static topology structure of the road network is not consistent with the dynamic characteristics of the road network traffic flow can be overcome. Therefore, the method is more applicable to the change characteristics of the road network traffic flow. Therefore, the reliability of calculated data is ensured to be high.

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.

The invention discloses a refined crop fertilization system and a fertilization method. The fertilization system comprises an omnibearing movable platform as well as a fertilization device, a detection device and a control device, which are all arranged on the omnibearing movable platform, wherein the omnibearing movable platform, the fertilization device and the detection device are controlled by the control device; the fertilization device comprises a fertilizer box, a liquid outtake pipe, a conveying pump, a drive device and a mechanical arm, wherein one end of the liquid outtake pipe is connected with the conveying pump, and the other end of the liquid outtake pipe is communicated with a jet rod; a plurality of jets are arranged on the jet rod; the conveying pump is communicated with the bottom of the fertilizer box via a pipeline and used for pumping the fertilizer into the liquid outtake pipe; the drive device is connected with the conveying pump and used for driving the conveying pump to operate; the jet rod is fixed on the mechanical arm; the detection device comprises a binocular camera and a spectrograph both fixed on the mechanical arm. The invention further discloses a refined crop nitrogenous fertilizer fertilization method. According to the invention, the information on characteristics of crops can be comprehensively analyzed via the binocular camera and the spectrograph, so that refined fertilization is achieved, and meanwhile, the structure is simple, and the jet fertilization is more flexible.

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.

Disclosed is a GTiBee technology-based intelligent illumination street lamp high-efficiency and energy-saving management system and method. A wireless sensing network communication technology is utilized to connect a server and a street lamp monitoring terminal. Integrated monitoring of all parameters of a street lamp is achieved, and fine management of street lamp energy consumption, pre-diagnosis of street lamp faults, and low-cost and high-reliability centralized management of an urban street lamp system are also achieved.

The invention discloses a cloud computing resource internet of things supervision and service platform which comprises a supervision and service platform body and a client. The service platform body comprises a database, a data acquisition and interface layer, a technical support layer, an analytical model layer and an application service layer, the application service layer is connected with the client, and the database is connected with a data control system and a dispatching and monitoring system. The cloud computing resource internet of things supervision and service platform is constructed by the aid of the database, the data acquisition and interface layer, the technical support layer and the analytical model layer according to actual requirements of supervision and service of IT (information technology) resources, comprises an IT asset and configuration management module, an IT asset integration monitoring module, an IT operation and maintenance guarantee module, a service guarantee and measurement module, a service guarantee reporting module and the like, can rapidly respond to business requirements, and aims to improve operation and maintenance guarantee efficiency and the capacity of preventing and solving failures, so that reliability of information systems is improved.

The invention discloses a method for diverting water in a plain urban river network. The method includes material collection, on-site measurement, prototype observation and mathematical model computing, scientific water resources controlling and reasonable configuration, and diversion and drainage planning. The aforementioned steps can enable diverting water in the river network smoothly, can increase water velocity and height of water, the water fluidity and capacity, so that the water quality and landscape of the urban river network is improved. According to the invention, the method, by on-site debugging and analyzing and sorting basic data of a mathematical model, proposes a water diverting engineering plan which enables real-time adjustment on the basis of river flow capacity, realizes staged diversion and diversion according to needs, and also increases water function of rivers and sensory index of a city; the method performs computing and analysis in combination with water-volume and water quality refining mathematical model, pollution load source elimination method and water diverting engineering plan, enables collective arrangement of water diverting routes, water diverting time, hydro-engineering and water diverting engineering, and enables the function of the plain urban river network to reach standards.

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 wearable equipment and an interaction method. The wearable equipment comprises an equipment body, a wearing part, an optical sensor and a controller, wherein the wearing part allows the equipment to be worn by a user; the optical sensor is mounted on the side surface of the equipment body and used for acquiring motion data of one or more fingers when the wearable equipmentis worn to one palm of the user; the controller is connected with the optical sensor and used for recognizing the motion data to obtain gesture information and outputting a game control signal according to the gesture information. According to the technical scheme of the embodiment of the invention, the motion data of one or more fingers are acquired by the optical sensor, the gesture informationis obtained by recognition, the game control signal is output according to the gesture information, so that the game is more convenient to control, the refinement degree of action control is increased, and game experience of the user is improved.

The invention discloses a flexible service system scheduling system and method of the daily mean of the working hours of window staff. The flexible service system scheduling system comprises a user and staff management module, a historical same-period data management module, an algorithm parameter management module, a scheduling time period management module, a unit time definition management module, a widow number generation module, a new scheduling module and a scheduling management module. The invention also provides a flexible service system scheduling method of the daily mean of the working hours of the window staff. The scheduling system can predict to obtain a scheduling table so as to generate a scheduling result, can effectively realize a management function on the window staff through the login restriction of the window staff and the monitoring and the data analysis of various states, and the window staff can directly ask for leave and change shifts on the system. After the window staff succeeds in applying, the scheduling plan of the window staff can be regulated, various pieces of statistical data of the window staff can be queried, and a basis is provided for scientific scheduling.

The invention discloses a cluster load prediction method and device, and a storage medium. The method comprises the steps of obtaining historical power consumption data of each individual in a samplecluster corresponding to a to-be-predicted cluster and external data of the same period; learning and fitting the historical power consumption data of the individual and the external data of the sameperiod through a machine learning algorithm to form a power consumption load prediction model of the individual; acquiring external data of a to-be-predicted cluster, predicting the overall load of the to-be-predicted cluster through an individual power consumption load prediction model based on the external data of the to-be-predicted cluster, and predicting the overall load of the to-be-predicted cluster in combination with the individual power consumption load prediction model and an error correction model. According to the invention, the refinement degree and the prediction effect of cluster load prediction are improved.

The invention belongs to the urban elevated road traffic diversion dredging field and especially relates to an elevated-road-section traffic-jam critical value calculating method based on a basic traffic diagram. The method comprises the following steps of 1) taking an elevated bridge road which connects adjacent exit and entrance ramps as one elevated road section; acquiring traffic flow data and each vehicle running speed data on each elevated road section; 2) calculating a traffic flow and an average speed of vehicles on each road section in each acquisition period; 3) taking a sample set; 4) drawing a scatter diagram of the basic traffic diagram; 5) calculating and acquiring a road average critical vehicle speed Vm at a maximum traffic flow and an unblocked vehicle speed Vf of the elevated road section. The method fits a current elevated-road actual dynamic change road condition of a current city. High accuracy of calculating data is ensured. An accurate basis can be provided for a traffic manager to carry out on-line traffic diversion so that unblocked performance of the traffic on the elevated road is finally guaranteed.

The invention discloses a rainfall type identification method using rainfall particle multi-characteristic parameters. The method comprises the following steps of: establishing a feature vector required by a precipitation particle recognition model by utilizing feature parameters such as precipitation particle geometric information, gray scale information and speed information measured by an observation instrument; according to the actual measurement particle image information, dividing the main rainfall particle types into ice crystal small particles, dendritic snowflakes, columnar snowflakes, aggregated snowflakes and raindrops; and using a support vector machine method to establish a rainfall particle type recognition model, and achieving fine recognition and classification of rainfalltypes. According to the invention, fine classification and identification of precipitation particles can be effectively realized. The measurement performance of the imaging raindrop spectrometer can be further exerted, and the fineness degree of rainfall type description is improved.

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 paint, in particular to a natural stone paint production process. The natural stone paint production process comprises the following steps that S1, natural stone paint raw materials are placed in a cleaning device so as to be cleaned; S2, the natural stone paint raw materials cleaned in step S1 are placed in a drying device so as to be dried; S3, thenatural stone paint raw materials dried in step S2 are placed in a grinding device so as to be ground; S4, natural stone paint powder prepared in step S3, pure acrylic emulsion, a thickening agent and a plasticizer are stirred and mixed in a stirring device; and S5, natural stone paint prepared in step S4 is placed in a barrel for later use. According to the natural stone paint production process, fixing blocks are arranged in a material ring of the grinding device at equal intervals, sliding plates are obliquely and fixedly connected between the fixing blocks and a feeding port, the grindingspeed is increased through the feeding port having a splay section from a drain plate to the sliding plates, and the feeding port is prevented from being blocked.

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 invention discloses an inverted-triangle-based mixed shift arrangement system and method for a flexible service system. The system comprises a user and staff management module, a historical same-period data management module, an algorithm parameter management module, a shift arrangement time management module, a unit time definition management module, a window number generation module, a newly established shit arrangement module, and a shift arrangement management module. In addition, the invention also provides an inverted-triangle-based mixed shift arrangement method for a flexible service system. According to the shift arrangement system, a shift arrangement table can be obtained based on prediction and thus a shift arrangement result is generated. The system can carry out window working staff registration restriction and monitoring and data analyses on various states, thereby realizing the management function of the window working staff effectively. The window working staff can ask for leave or carry out shift changing directly on the system; and after successful application, the system can adjust a shift arrangement plan and inquire various statistic data of the window working staff, so that the basis can be provided for science shift arrangement.

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.