37results about How to "Accurate basic data" patented technology

The invention discloses a pole tower deformation detection method with constraint registration. The method includes steps: acquiring original three-dimensional point cloud data of an original pole tower; acquiring state three-dimensional point cloud data of a to-be-detected stage pole tower; denoising, and extracting axis of the pole tower; performing initial registration and fine registration; measuring an included angle between axis of the original pole tower and deviation state axis of the pole tower to acquire an inclination angle of the pole tower; calculating Eucidean distance from each spatial point on the deviated pole tower to the original pole tower, calculating Hausdorff distance between two denoised point cloud data after going through fine registration, and taking a ratio of the Eucidean distance to the Hausdorff distance as deviation amount of the pole tower; converting the deviation amount into a visual gray value to acquire a pole tower deformation deviation cloud chart. By the method, effective analysis of overall deformation of the pole tower is realized to directly acquire deformation degree of the pole tower in three-dimensional space; the method is high in detection accuracy and efficiency, low in cost, free of influence by outside environment and convenient to operate.

The invention belongs to a high temperature oxidation resistant film sensor and a production method thereof. The film sensor comprises a to-be-tested alloy substrate and a NiCrAlY alloy transition layer adhered on the top surface of the substrate, an aluminum oxide/aluminum nitride transition layer, an aluminum oxide/aluminum nitride ceramic insulating layer, a sensor function layer composed of electrodes, a Si3N4 isolating layer and an aluminum oxide protective layer arranged on the insulating layer are orderly arranged above the transition layer; the production method comprises surface treatment of alloy substrate, NiCrAlY alloy transition layer settling on the alloy substrate, precipitation, oxidation or nitriding treatment of metal aluminum, setting of Al2O3/AlN ceramic insulating layer, setting of film sensor function layer and Si3N4 isolating layer thereof, and setting of Al2O3 protective layer. The Si3N4 isolating layer in the invention can be used for effectively resisting the oxygen atom dissolved from the insulating layer and aluminum oxide protective layer at high temperature environment to diffuse to the function layer, the stability and reliability of the sensor at high temperature high pressure working environment can be improved, and relative and more accurate basic data is provided for the study and design of a turbine engine.

The invention relates to the field of natural language processing, and particularly relates to an enterprise industry classification method based on fully-automatic learning. The method of the invention uses a recurrent neural network to carry out fully-automatic feature learning on a business scope of a to-be-classified enterprise and automatically divides the to-be-classified enterprise to a corresponding industry scope. The method breaks domain barriers of the natural language and the neural network technology, and automatic enterprise industry classification based on natural language analysis is realized. The method does not need to manually select features, the defect that manual feature selection in the traditional method deviates from a specific sample is solved, the developer pays more attention to the task itself and data reserve, the working efficiency is enhanced, and as the recurrent neural network is used, longer sequence features can be captured by the model, the industry classification accuracy can be greatly enhanced, and more accurate basic data are provided for business and finance analysis.

The invention discloses a facial feature point positioning method and device, and belongs to the technical field of image processing. The method includes the steps of obtaining an image to be detected, conducting initial positioning on an average shape model in the image to be detected so as to obtain initial positions of feature points for describing the organs of a face in the image to be detected, determining the types of organ models for describing the set organs of the face, conducting feature point search on the image to be detected on the basis of the organ models of the determined types, and regulating the initial positions of the feature points of the organs of the face in the image to be detected. According to the facial feature point positioning method and device, for different types of the set organs of the face in the image to be detected, the initial positions of the feature points of the organs of the face in the image to be detected are regulated on the basis of the organ shape models of different types, similarity between the feature points of the face and the image to be detected is improved, and errors between the face shape formed by the feature points of the face in the obtained image to be detected and the face shape in the image to be detected are reduced.

The invention discloses a drainage network liquid level online remote monitoring system and method. The method comprises the following steps of S1, collecting liquid level information in a drainage well in real time, and generating a sending data package according to the liquid level information; S2, preprocessing data in the sending data package, and sorting and storing the data according to a preset format; S3, monitoring and analyzing the liquid level of a drainage network in combination with the stored data and a preset liquid level model. By means of the system and method, the liquid level information of the drainage network can be monitored in real time, so that dispatching personnel can remotely know the real-time liquid level condition of the drainage network and make a dispatchingdecision timely, and the working efficiency and working quality of the dispatching personnel are improved. Besides, real-time and accurate basic data is provided for studying dispatching optimizationof a deep-layer tunnel drainage system with large dispatching management difficulty, and full play is given to the effect of the deep tunnel drainage system on reduction of waterlogging and overflowpollution. The drainage network liquid level online remote monitoring system and method can be widely applied to the field of running dispatching of drainage networks.

The invention discloses a weather radar spatial interpolation method. The method takes the quality of radar data as an evaluation index of weighting during weighted superposition calculation; and for detection points far away from the center of a radar, and through the consideration of influences of the distances between the adjacent detection points on interpolation calculation, improvement and optimization can be performed on a spatial interpolation method from space distances and data quality. The implementing of the method can reduce the adverse influences on spatial interpolation calculation caused by abnormal detection points, so that the basic reflectance data after spatial interpolation can be closer to the actual situations of the atmosphere, and therefore, more reliable and accurate basic data can be provided for weather forecast and early warning services such as short-impending precipitation forecast, strong wind forecast and severe convection weather forecast, and the accuracy of weather forecast and early warning can be achieved.

The invention provides a multi-wind-power-plant output scene generation method considering space-time correlation. The method comprises the steps: obtaining the original output data of a plurality ofwind power plants, and calculating the edge distribution of the output of each wind power plant; based on the Copula function and the edge distribution of the Copula function and the edge distributionof the Copula function, a joint distribution function of multi-wind-power-plant output is established; random sampling is carried out on the joint distribution function to obtain an initial output scene considering the spatial correlation of multiple wind power plants; considering the time correlation in the original output sample of the multiple wind power plants, carrying out the time sequencereconstruction of the initial output scene, and generating the output scene of the multiple wind power plants considering the space-time correlation. According to the method, the time sequence reconstruction technology is adopted to reconstruct the initial scene, more accurate prediction is carried out, the calculation efficiency is improved compared with an existing method, and then more accuratebasic data are provided for operation simulation and planning of a power system.

The invention discloses a recovery method of a high-grade ore body in a deep collapse area, which is characterized in that: a three-dimensional laser void area detection system is used to detect the upper void area of ​​the collapse area, and a high-strength grouting material is used to grout the ore body in the collapse area , the upper empty area is filled and maintained with low-strength and high-strength filling materials, and the mining and cutting work is arranged outside the collapsed area. The flat bottom structure is adopted. During the mining work, combined with the detection data, the fan-shaped medium-deep holes are accurately arranged, and remote control is used. The scraper goes out of the mine and fills the empty area after mining. The invention is especially suitable for the recovery of deep high-grade collapsed ore bodies, and has the characteristics of high mining efficiency, safe operation, high recovery rate of high-grade collapsed ore bodies, and the like.

The invention discloses a method for determining the absolute emission amount of tunnel gas in real time. The method comprises the following steps: S1: linear laser sensors are installed on one side of a tunnel section, the three groups of the linear laser sensors are arranged in order from top to bottom, the first group is installed 30cm below a tunnel vault, the other two groups are installed according to the averagely divided tunnel height, and the linear laser sensors are used to illuminate the other side of the tunnel section to measure the average concentration of gas on three groups ofbeams; S2: a wind speed sensor is installed 50cm below the vault of the same tunnel section of the laser sensors in step S1 to measure the wind speed of the tunnel section, and detection data of the wind speed sensor are compared with manual detection data to obtain a correction coefficient between the measured value of the wind speed sensor and the average wind speed value of the tunnel at different wind speeds; and S3: the wind speed sensor in step S2 collects data every 5S, and uploads the measured data to a control computer through a 485 bus.

The invention discloses an operation state monitoring method and system of a northern interface of a professional manufacturer webmaster. The method comprises the following steps: primarily judging the operation state of the northern interface on an adaptation layer; judging the operation state of the northern interface on a process monitoring layer; if the operation state results of the northerninterface in the initial and auxiliary judgments are the same, directly judging that the operation state of the northern interface is consistent with the initial and auxiliary judgment results; and ifthe operation state results of the northern interface in the initial and auxiliary judgments are different, finally judging that the operation state of the northern interface is abnormal. The real-time and automatic monitoring of the operation state of the northern interface is realized, real-time and accurate basic data are provided by the professional manufacturer webmaster for the upper levelintegrated webmaster, and a data support is provided for the planning, construction, operation and management assistant decision of the enterprise communication network.

The invention discloses an electricity data acquisition analysis system for a high-energy-consumption electricity enterprise. The electricity data acquisition analysis system comprises multiple intelligent integrated controllers, multiple power line carrier electric energy meters which are connected with the multiple intelligent integrated controllers by virtue of a downlink channel, multiple power supply department computers which are connected with the multiple intelligent integrated controllers by virtue of an uplink channel, and a power supply management server connected with the multiple power supply department computers, wherein the downlink channel is a low voltage power line, the uplink channel comprises multiple first modems, multiple second modems, PSTN (public switched telephone network) exchange equipment and a communication network, and the communication network comprises one or more of a telephone line, a GSM (global system for mobile communication) network, a wireless station and an RS-485 bus. The electricity data acquisition and analysis system disclosed by the invention is novel and reasonable in design, flexible and convenient in system construction, small in construction volume, accurate in number representation, high in communication reliability, low in comprehensive cost, operating cost and maintenance cost, complete in function, high in practicability, good in using effect, and easy to popularize and apply.

The invention provides a prediction system of comfort of a sleeping product. The system comprises a sleeping product thermal insulation database, a model establishing module, a model verification module, a parameterization research module, a prediction module and a recommendation module. The establishment of the system includes following steps: S1, establishing a sleeping human body comfort prediction model; S2, determining a boundary condition and substituting the boundary condition into the established model, and modifying output data until an error between experiment data and the output data is within 7%; S3, performing parameterization research; S4, obtaining a prediction system of the comfort of the sleeping product based on a chart line relation between parameters of the sleeping product, human body factors and environmental factors obtained in S3; and S5, recommending the sleeping product used in a specific environment based on the prediction system of the comfort of the sleeping product obtained in S4 to ensure the sleeping comfort of the human body. According to the prediction system of the comfort of the sleeping product, the comfort of the sleeping product can be more scientifically and accurately predicted.

The invention discloses a piezoelectric double-cross beam vehicle vibration detection device based on the ground. Compared with a vibration detection device installed on a vehicle, the device can overcome the influence caused by vibration of the vehicle on a measuring result and improve the precision of the measuring result of the vehicle vibration. The piezoelectric double-cross beam vehicle vibration detection device based on the ground comprises an end cover (1), a fixing bolt (2), an upper rectangular frame (3), an installation bolt (4), a shell (5), a mass block (6), a piezoelectric plate (7), a spring gasket (8), a supporting column (9), a cross beam (10), a base (11), a double-cross beam (12), a lower rectangular frame (13) and a fixing nut (14). The piezoelectric double-cross beam vehicle vibration detection device based on the ground is compact in structure, long in service life and accurate in detection result and is of great importance in the field of vehicle vibration detection.

The invention discloses a computer office place acquisition method and system, electronic equipment and a medium. The acquisition method comprises the following steps: respectively acquiring initial office places of a computer from a plurality of systems, wherein the initial office place comprises at least one of an office city and a specific address in the office city; judging whether the acquisition timestamps corresponding to all the initial office places are the same, if so, selecting the initial office place with the specific address in the office city from all the initial office places as the actual office place of the computer, and if not, selecting the initial office place corresponding to the latest acquired timestamp as the actual office place of the computer. According to the invention, the accuracy of acquiring the computer office place is improved, and accurate basic data of the PC online place is provided for an enterprise when centralized software deployment or service pack pushing is carried out on office PCs in various places.

The invention discloses a horizontal transport task AGV dynamic time estimation method in the technical field of dynamic time estimation. The horizontal transport task AGV dynamic time estimation method comprises the following steps: 1, feature selection; 2, data processing; 3, machine learning; 4, a neural network; 5, verifying the dynamic time estimation model; according to the horizontal transportation task AGV dynamic time estimation method, a machine learning model and a neural network model are used to dynamically predict the task completion time of the AGV, and the influence of various factors on the AGV in the horizontal transportation process of a wharf is described. Therefore, the time estimation result is improved, and more accurate basic data is provided for other application scenes.