52results about How to "Accurate data basis" patented technology

The invention provides a method for acquiring the influence situation of a disaster on a power distribution network. According to the technical scheme of the invention, each disaster of the power distribution network is subjected to situation grading, and then a quantitative index is determined. According to the analytic hierarchy process, the influence sub-situation of each disaster is synthesized, and then the power supply situation rating of the power distribution network and the comprehensive evaluation score of an optimization scheme are determined. According to the power supply situation rating of the power distribution network and the comprehensive evaluation score of the optimization scheme, the influence situation result of the disaster is obtained based on a grey correlation method. The method is strong in adaptability, and the quantitative description of the influence situation of each of various equipments can be accurately and effectively realized. The perceiving, reasoning and analyzing on the operation situation under the influences of disaster conditions can be reliably realized. The operation change of the power distribution network can be analyzed and reasoned, while the influence of the disaster can be comprehensively and quantitatively considered. As a result, the method provides an accurate, comprehensive and reliable data basis for the disaster defense and treatment of the power distribution network. Meanwhile, the disaster prevention and treatment efficiency of the power distribution network is improved. The safety and the operation reliability of the power distribution network are improved.

The invention provides a distributed energy project annual main technical index calculation method, which comprises the following steps: obtaining the types of different business forms in an energy supply area of an energy station and the building area of each type, calculating the total cooling and heating load of the energy station by combining an index method, and selecting an energy station installation scheme; Determining start and stop dates of a cooling season and a heating season of the energy station according to local meteorological conditions; Determining the starting sequence priority of the equipment during refrigeration and heating; Calculating a year-round hour-by-hour cold and hot load curve of each business state; Superposing the different hour-by-hour curves, and obtaining a cold and hot time delay curve in the energy supply area of the energy station by combining the starting date of the cooling season and the starting date of the heating season; And the annual maintechnical index of the energy station is calculated by combining the energy station cold and hot time delay curve, the energy station installation condition and the equipment starting sequence priority. According to the method, the annual operation condition of each refrigeration and heating device can be calculated in detail, the proportion information of each device in cooling and heating is reflected, and the calculation result is accurate.

The invention provides an access control method and system for a data warehouse and computer equipment, and the method comprises the steps: storing authorized account associated information, and updating the authorized account associated information through periodically obtaining metadata, the authorized account associated information comprising authorized account information and corresponding database information; establishing an account authentication service independent of the database access service and the metadata access service in a data warehouse to call the stored authorized account association information; responding to an access request of a client; calling an account authentication service to perform identification processing on the account information in the access request according to the stored authorized account association information so as to perform identity authentication; and returning the user request passing the identity authentication to a database access service and a metadata access service for authority verification. According to the invention, the security of the data in the Hive data warehouse is reliably ensured, a more effective identity authentication and authority verification process is realized, and misoperation and malicious operation of a user are effectively prevented.

The invention relates to an advertising billboard with a PM (Particulate Matter) 2.5 monitoring function. The advertising billboard with the PM 2.5 monitoring function comprises an advertising billboard body which comprises a framework and an advertising unit. The advertising billboard with the PM 2.5 monitoring function is characterized in that the advertising billboard body is provided with a PM 2.5 monitoring device which employs a gravimetric method, a beta ray absorption method or an oscillating microbalance method and the PM 2.5 monitoring device is arranged inside the advertising billboard or on the surface of the advertising billboard. The advertising billboard with the PM 2.5 monitoring function has the advantages of enabling PM 2.5 numerical values people concern to be timely released due to the fact that the PM 2.5 monitoring function is added on the basis of the traditional advertising billboard; accordingly improving the attention of the people to the advertising billboard; being good in advertising effect; simultaneously enabling the people to obtain timely and accurate environment quality information tips to take timely protective measures; providing good help for exercise and outdoor activities; and reducing the total costs due to the fact that a multi-function is achieved.

The invention belongs to the technical field of vehicle and logistics fleet management, and relates to a method for performing aggregation analysis on vehicle permanent parking points based on parkingpoint intervals, durations and frequencies. The method comprises the following steps of: S1, continuously receiving position and driving information reported by a vehicle-mounted GPS terminal, and performing preliminary analysis to form parking records; S2, obtaining parking points and parking durations in the parking records within 30 days, and obtaining candidate points; S3, setting terms and preset parameters; and S4, obtaining a candidate point cluster for the candidate points in the S2, through a clustering algorithm. With the method of the invention adopted, under a human-free interference condition, a series of parking points without specific meanings are judged and identified, parking points with practical meanings for vehicle are identified in an artificial intelligence analysismode; and therefore, a plurality of permanent parking points with specific meanings in the running process of the vehicle can be obtained, and a powerful logic basis is provided for later vehicle travel merging.

The invention provides a method used for determining the total mass of a solid waste pile body. The method comprises the steps that the solid waste pile body is differentiated into n rectangular column bodies, and the stock volume of each solid waste column body is measured; the layered volume-weight of the highest column body is measured; based on the measurement result, neural network fitting is used to solve the non-linear distribution volume-weight of each layer; the average volume-weight of each solid waste column body is calculated; and by measuring the stock volume of each solid waste column body and the volume-weight of the solid waste column bodies, the total mass of solid wastes to be authenticated is calculated. According to the technical scheme of the invention, the total mass of the solid waste pile body can be measured simply, accurately and reliably, and the long-term leftover problem that the total mass of the solid waste pile body cannot be positively and directly determined is fundamentally solved.

The invention discloses a method for monitoring the bending life of a steel wire rope of a CNC (Computer Numerical Control) floor type boring and milling machine. The method comprises the steps of (a) dividing the steel wire rope into n zones for independently calculating the bending frequency; (b) judging whether bending is carried out or not; (c) reflecting the bending position of the steel wire rope; (d) calculating zones, which are subjected to the bending, on a first fixed pulley; (e) calculating zones, which are subjected to the bending, on a second fixed pulley; (f) calculating and judging the total bending frequency. According to the technology for monitoring the bending life of the steel wire rope used by the CNC floor type boring and milling machine, provided by the invention, the bending frequency of the steel wire rope in an overall length range can be recorded in real time and accumulatively calculated, the distribution situation of the bending frequency along the overall length of the steel wire rope can be displayed, alarm information can be transmitted when the maximum bending frequency is approximate to or is up to a theoretical limit value, real-time monitoring on the bending life of the steel wire rope is realized, the overall safety of products of the CNC floor type boring and milling machine can be increased, and an accurate and reliable data basis is provided for selecting and maintaining the steel wire rope.

The invention discloses a power line fault indicator with a time synchronization function. The power line fault indicator comprises indicating units and a monitoring unit, wherein the monitoring unit is provided with a clock circuit; the indicating units are provided with real-time clock registers; the indicating units transmit acquisition time of measured data or an alarm event to the monitoring unit; the monitoring unit transmits data including current time of the monitoring unit back to the indicating units; the indicating units calculate information transmission time after reception of the data; and the transmission time plus the current time received from the monitoring unit makes current time of the indicating units in order to realize time synchronization between the indicating units and the monitoring unit. Through adoption of the power line fault indicator, data and alarm information of the indicating units and the monitoring unit of the fault indicator is synchronized; a data basis of fault judgement becomes more accurate; and a record of a fault occurrence moment becomes more accurate.

The invention discloses an infrared thermal wave based non-destructive testing system for wind turbine blades. The system comprises a remote control aircraft, an infrared thermal wave testing component and a control component, wherein the infrared thermal wave testing component is connected with the remote control aircraft; the remote control aircraft and the infrared thermal wave testing component are respectively communicably connected with the control component; and the remote control aircraft is used for receiving a flight control command sent by the control component to convey the infrared thermal wave testing component to a preset test position according to the flight control command. The system provided by the invention has the technical effects that the collecting of real-time heatmap data of the wind turbine blades is realized to complete blade image analysis and automatically determine the type, the position and the size of a blade depth surface defect, so that an accurate and reliable data basis is provided to maintenance personnel of the wind turbine blades.

The invention discloses an oil mass calculating method based on point cloud data, relates to the fields of data processing and three-dimensional visualization, and invents a method which automatically calculates the volume of remaining oil mass in an oil tank in real time based on the point cloud data obtained by three-dimensional laser scanning equipment. The point cloud data obtained by the laser scanning equipment are preprocessed to obtain the real-time oil level height and the oil tank shape volume which are composed of point cloud data, and then the volume of the remaining oil mass in the oil tank is calculated. The set of complete data processing and oil mass calculation method is designed to monitor oil mass rapidly and accurately in real time, the method is not affected by changes of oil volume along with temperature, and rapid and reliable bases and means are provided for managing and dispatching an oil warehouse.

The invention discloses a measuring device for interior design, and the device comprises: a walking chassis, which is driven by a motor to move according to a preset track; a house type size acquisition module, which is carried on the walking chassis and acquires and records the size of a house type to be measured in real time in the process of moving along with the walking chassis; a ground flatness acquisition module, which is carried on the walking chassis and is used for acquiring flatness data of the house type to be measured in real time in the moving process of the walking chassis; and a measurement image output module, which is carried on the walking chassis and generates an actual measurement image according to the house type size acquired by the house type size acquisition module and the flatness data acquired by the ground flatness acquisition module. The technical problems that in the prior art, indoor measurement efficiency is low during indoor design, and budget accuracy of ground leveling design is low are solved.

The invention provides a face recognition confrontation sample generation method, a corresponding face recognition method and related equipment, a systematic confrontation sample generation method is designed based on key features of a preset area of a face image, the preset area on the face image is replaced with a blank image, and the generated preset area confrontation image is applied to the face image after graphic transformation, so that the obtained confrontation image can provide an accurate data basis for the network security test in actual network attack application, the working efficiency of the network security test is improved, and the whole method is convenient in actual application, and low in implementation cost, and the method can be quickly implemented to accurately obtain the confrontation image.

The invention provides a linear regression electric quantity prediction method and system based on power utilization characteristic clustering. On the basis of accumulated multi-type and massive customer power consumption information, the power consumption information is improved. Sub-space clustering is carried out according to the user power utilization characteristic evaluation indexes to acquire multiple categories, various user power utilization modes are further formed. According to different power consumption modes, users are subjected to group division, strong correlation factors of different group users are judged by utilizing a mutual information matrix, then a multiple linear regression algorithm is adopted to predict the power consumption, a plurality of linear regression models are established for each user group data to predict, the prediction result is more accurate, and prediction effect is better.

The embodiment of the invention provides a seismic attribute processing method and device, computer equipment and a readable storage medium, and the method comprises the steps: carrying out the rotation superposition of five-dimensional seismic data volumes based on different rotation factor combinations, and obtaining a plurality of superposed data volumes; for each superposition data volume, decomposing the single-channel seismic attribute data in the superposition data volume into a plurality of amplitude modulation-frequency modulation attribute signals, and enabling a value superposition value of the plurality of amplitude modulation-frequency modulation attribute signals obtained through decomposition and a value of the single-channel seismic attribute data to meet a preset error value, and enabling all amplitude modulation-frequency modulation attribute signals obtained through decomposition to form an attribute signal set; and filtering noise in the attribute signal set, and fusing amplitude modulation-frequency modulation attribute signals in the attribute signal set. According to the scheme, the accuracy and the reliability of a fusion result can be improved, and an effective, accurate and reliable data basis can be provided for application scenes such as oil and gas reservoir prediction, fluid identification and well location deployment.

The invention discloses an oil field single-well two-phase automatic metering device, and relates to the field of oil field produced liquid metering. The oil field single-well two-phase automatic metering device is particularly suitable for the field of oil field low-yield block single-well oil production metering, and comprises a metering produced liquid inlet pipe, a metering produced liquid outlet pipe, a right piston metering cavity and a left piston metering cavity, wherein a right piston is movably connected into the right piston metering cavity in a sealed mode; the right piston metering cavity is connected with the metering produced liquid inlet pipe through a right piston inlet electric valve; the right piston metering cavity is connected with the metering produced liquid outlet pipe through a right piston outlet electric valve; and a right piston connecting rod is connected to the right piston. The oil field single-well two-phase automatic metering device is simple in structure and convenient to use, the pistons are pushed to continuously move through pressure of oil well produced liquid, valve switching and piston movement cooperation are completed through a linkage device and a valve switching contact switch, and finally single-well oil production continuous and accurate metering is achieved. The high-low-yield block oil field crude oil production management efficiency is improved.