38results about How to "Accurate basic data" patented technology

The invention discloses an array-type ocean acoustical signal measurement system. Multiple single channel ocean acoustical signal measurement instruments (NTD) are alternatively fixed on a plastic-wrapped steel cable. Two ends of the plastic-wrapped steel cable are conducted with seawater. A floating body at an upper end of the plastic-wrapping steel cable and a lead fish at a lower end of the plastic-wrapping steel cable are in a vertical state in the ocean. Each NTD is internally provided with a hydrophone and a temperature and salinity sensor. A host computer magnet ring on the plastic-wrapping steel cable, a node magnet ring of each NTD, the plastic-wrapping steel cable and the sea water form a coupling circuit. The NTDs obtain acoustical signals and temperature and depth information which are transmitted to an instrument cabin in the floating body through the coupling circuits and which are sent to a ground reception station via a Beidou all-in-one machine arranged on the floating body. The array-type ocean acoustical signal measurement system provided by the invention can synchronously obtain ocean acoustical signals at different depths according to needs, provides accurate basic data for the research on ocean acoustical environments, and has a wide application prospect.

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 belongs to the technical field of liquid expansion forming, and particularly relates to a pipeline unevenness detection device for liquid expansion forming, the pipeline unevenness detection device comprises a base, the upper end of the base is fixedly connected with a detection mechanism and a movable supporting mechanism, and a steel pipe is clamped and supported on the movable supporting mechanism; the detection mechanism comprises a support fixedly connected to the upper end of the base, a U-shaped fixing rod is fixedly connected to the side wall of the upper end of the support, detection collection ends are arranged on the surfaces of the two ends of the U-shaped fixing rod, and graph conversion mechanisms are fixedly connected to the two opposite sides of the rear end of the U-shaped fixing rod. And the detection acquisition end is connected with the graph conversion mechanism through a displacement transmission mechanism. The concave-convex defect on the surface of the steel pipe can be visually displayed in a linear pattern, so that more accurate basic data can be obtained in an accurate liquid expansion forming process, the liquid expansion forming quality is ensured, and the cost is saved.

The invention discloses a separation extracting method of purified aged asphalt. The separation extracting method comprises the following steps: adequately mixing trichloroethylene with a saponified waste asphalt mixture in a volume ratio of 46 to 1 to obtain a to-be-extracted mixture, and distilling the to-be-extracted mixture at 90-120 DEG C until the solid-liquid volume ratio is 16 to 1, so as to obtain a to-be-separated mixture; regulating the solid-liquid volume ratio of trichloroethylene to the waste asphalt mixture in the to-be-separated mixture to be (14-16) to 1, feeding the to-be-separated mixture into extraction equipment, separating for 3-5 times at 20000rpm-25000rpm to separate fine mineral powder particles to obtain processed aged asphalt, and distilling to remove trichloroethylene in the aged asphalt, so as to obtain the purified aged asphalt. By virtue of the separation extracting method, an accurate test result is provided for the accurate addition of asphalt concrete and three indexes of recycled asphalt.

The invention relates to a pedestrian step length detection method, a pedestrian step length detection apparatus and a pedestrian step length detection system. The pedestrian step length detection method comprises: detecting the peak value of longitudinal acceleration data, and setting an area between the two adjacent peak values as a step interval; carrying out integral on the longitudinal acceleration data within one step interval to obtain velocity data, wherein the velocity value of the integral starting point is taken as zero; carrying out integral on the velocity data to obtain a longitudinal displacement; taking the maximum value and the minimum value of the longitudinal displacement within the step interval, and obtaining a longitudinal displacement amplitude value by subtracting the minimum value from the maximum value; and according to the longitudinal displacement amplitude value, obtaining the step length data of the user within the step interval by using a preset step length calculation model. With the method, the apparatus and the system of the present invention, the step length data detection precision is improved, and the precise basis data is provided for indoor navigation and positioning.

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 provides a deep hole piston rod deep hole and outer circle coaxiality control method. The method comprise the following steps that (a) the end face of the large-head end of a piston rodand the end face of the hole opening end of the piston rod are flatten through turning, outer circles of the piston rod undergo semi-finish turning, and a blind hole is drilled from the center of thehole opening end; (b) the wall thickness of one circle at the deep part of the blind hole is measured, and the correction size of the outer circle of the large-head end is calculated; (c) the positioncorresponding to the central axis of the blind hole is found on the outer circle of the large-head end by utilizing the correction size, and two reference outer circles are turned on all the outer circles of the piston rod correspondingly; and (d) the two reference outer circles are used as reference, the piston rod is fixed, the end face of the large-head end is flattened through turning, the center hole of the end face of the large-end is corrected, the outer circle at the large-head end is turned to meet the required size through the center hole of the large-head end, the end face of the hole opening end is flatten through turning, a rabbet of the hole opening end is turned, and other outer circles are turned to meet the required sizes through the rabbet of the hole opening end. According to the deep hole piston rod deep hole and outer circle coaxiality control method, the advantages that the design is novel, the product quality is good, the production cost is low, and the production efficiency is high are achieved.

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 multi-dimensional space visual field searching method and system. The method comprises the following steps of 1, obtaining a multi-dimensional vector representing character behavior event information; 2, mapping the multi-dimensional vector to a one-dimensional space and storing the multi-dimensional vector in a Hash Table linear mode; 3, traversing all the multi-dimensional vectors to obtain a visual field of each multi-dimensional vector; and 4, combining the mutually contained visual boundaries to obtain a visual boundary set without a containing relationship. According to the method, the multi-dimensional vectors representing the character behaviors are processed and stored in a linear storage mode, and the overlapped view fields are merged, so that the methodis easy to implement, the calculation complexity can be greatly reduced, more accurate basic data is provided for subsequent character behavior analysis, and the analysis reliability is improved.

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 a method for recycling high-grade ore bodies in a deep collapse area. The method is characterized in that an upper mined area is detected through a three-dimensional laser mined area detecting system; high-strength grout materials are used for grouting the ore bodies in the collapse area, and the upper mined area is filled with low-strength fillers and high-strength fillersand cured; preliminary mining work and cutting work are conducted outside the collapse area; and a flat-base bottom structure is adopted, fan-shaped medium-deep holes are precisely formed by combining the detection data in stoping work, a remote-controlled carry scraper is used for ore drawing, and the mined area is filled after stoping. The method for recycling the high-grade ore bodies in the deep collapse area is especially suitable for recycling of the deep high-grade collapsed ore bodies and has the characteristics of being high in stoping efficiency, safe in work and high in high-gradecollapsed ore body recycling rate and other characteristics.

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 provides a sleep product comfort prediction system, which includes a sleep product warmth retention database, a model building module, a model verification module, a parameterized research module, a prediction module and a recommendation module. The establishment of the system includes the following steps: S1: Establish a sleep comfort prediction model; S2: Determine the boundary conditions and substitute into the established model, modify the output data until the error between the experimental data and the output data is within 7%; S3 : Parametric research; S4: Based on S3, obtain the graph-line relationship among sleep product parameters, human factors, and environmental factors, and obtain a sleep product comfort prediction system; S5: Based on S4, obtain a sleep product comfort prediction system The prediction system recommends sleep products used in a specific environment to ensure the comfort of human sleep. The comfort prediction system of the sleep product provided by the invention can predict the comfort of the sleep product more scientifically and accurately.

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.