206results about How to "Effective data support" patented technology

The invention relates to a curvature detection device and method for a drill rod. The device comprises a drill rod clamping part, a sensor transmission part and a control and operation part, wherein a three-jaw chuck, a V-shaped block and a stepping motor A are arranged on the drill rod clamping part; the three-jaw chuck is used for clamping one end of the drill rod, and the other end of the drill rod is placed on the V-shaped block; a 2D (two-dimensional) laser sensor and a stepping motor B are arranged on the sensor transmission part; the control and operation part comprises a single-chip microcomputer and a host. The detection method comprises the following steps: acquiring the three-dimensional coordinate information of hemi-profile data points of a plurality of sections of the drill rod by using the 2D laser sensor; processing and calculating a section central point through the host, and fitting the central lines of n sections; determining the maximum curvature and coordinate value of a maximum bending point, comparing with the curvature limit value of the drill rod, judging whether the curvature of the drill rod is qualified or not, and providing a judgment result for a user. The device is scientific in structure, the detection method is simple, the curvature information of the drill rod can be obtained efficiently and accurately, and technical support is provided for the increase of the production accuracy of the drill rod.

The embodiment of the invention, which relates to the technical field of communication, provides an evaluation method and apparatus for coverage effectiveness of an LTE network base station. With the method and apparatus, a reliable data support can be provided for optimizing a network structure reasonably, reducing cell interference, and lowering the operation and maintenance cost. The method comprises: an engineering parameter of each base station in a road test region at least including a target region as well as network data information of each 3G cell in a 3G base station coverage range established at the same site as the base station is obtained; a value coefficient for each cell in each base station coverage range in the target region is calculated; all structural base stations in the target region are determined; a total coverage effective rate of all structural base stations in the target region is calculated; and if the total coverage effective rate of all structural base stations in the target region is larger than a preset coverage rate, the structural base stations in the target region are determined to meet the coverage requirement. The evaluation method and apparatus are used for evaluating coverage effectiveness of base stations.

The invention provides a charging pile fault prediction method and device based on a Markov chain, and the method comprises: obtaining a state vector of a target charging pile in an initial time period, and enabling the state vector to serve as the initial state probability distribution of a preset charging pile Markov chain prediction model; wherein the Markov chain prediction model of the charging pile is used for representing a discrete event random process in which a non-fault state and at least one fault state of the charging pile are mutually converted and different fault states of the charging pile are mutually converted; and according to the initial state probability distribution and the Markov chain prediction model, determining the probability that the target charging pile has atleast one fault in a prediction time period. Automatic fault prediction of the charging pile can be achieved, the prediction process is efficient, the prediction result is accurate, and then timely and targeted maintenance can be conducted on the fault of the charging pile.

The invention discloses a method for accurate spot selection of a wireless local area network (WLAN). The method comprises the steps of firstly setting dimension coefficients and weights of dimension coefficients, wherein the dimension coefficients include a value dimension coefficient, a mass dimension coefficient, a wifi user behavior dimension coefficient and a terminal dimension coefficient; then judging a WLAN value of a community according to dimension coefficient CSM and screening out potential hotspot community regions of the WLAN; and finally performing rasterization positioning to users in the potential hotspot community regions and accurately positioning WLAN hotspot communities. The method for the accurate spot selection of the WLAN is based on real-time data acquired by existing networks, performs data memorizing and summary of the data according to different analysis requirements and improves the accuracy of the WLAN spot selection as far as possible on the premise that correct judgment of a region range of the high-WLAN-value potential hotspots is guaranteed.

The invention discloses a thermal power generating unit load (quasi) steady-state working condition clustering algorithm based on data smoothness functions. The algorithm comprises the steps that 1, a comprehensive application statistics method is used for carrying out data pretreatment on collected unit load data, and the accuracy and the uniformity of a researched data object are improved so that the operation working condition of a unit can be reflected truly; 2, with the data smoothness functions as a criterion, a monotonous data region larger than a preset critical threshold value is cut off, and the (quasi) steady-state working condition of unit load data is determined; 3, the unit load data meeting the requirement for the data smoothness and meeting the shortest (quasi) steady-state working condition time are selected, and the effective clustering algorithm is used for obtaining and storing a typical working condition data set. The method is flexible, applicable, suitable for determining the thermal power generating unit load (quasi) steady-state working condition, capable of obtaining the typical working condition data of unit operation, and the effective data support is provided for work such as follow-up unit diagnostic service and condition analysis and optimization of the unit operation.

The invention relates to a network protected index data obtaining method based on the OCR technology. The method includes the steps that an automatic testing tool is used for simulating a series of operation on a data platform by a user before index data display, and the operation includes login, search keyword input and search time setting; simulation mouse motion is used for dynamically displaying and collecting values on a curve, and finally the improved OCR technology is used for obtaining numerical values of target data. The protected data obtained through the method has the advantages of being high in obtaining efficiency, accurate and capable of being obtained in batches, effective data support is provided for public opinion analysis and data mining, a new thought is provided for the network big data obtaining method, and valuable information is provided for commercial popularization, precise marketing and market analysis. The network protected index data obtaining method has important theoretical significance and wide application value.

The invention discloses a small target intelligent identification system based on remote video monitoring. The method is realized based on a remote video monitoring system. The remote video monitoringsystem comprises a front-end unit and a rear-end unit, the front-end unit is designed to have the functions of monitoring acquisition, intelligent analysis and a servo system; the rear-end unit is designed to have the functions of system control, multi-system integration and big data analysis, and the small target intelligent identification system is located in the front-end unit and comprises avideo acquisition module, an image preprocessing module, an intelligent analysis module, a data processing module, a coding analysis module and a data communication module. Compared with the prior art, the system can effectively realize intelligent, accurate and real-time detection and identification of small targets under the condition of remote video monitoring, and transmits image identification information and derived early warning information to a rear-end control center.

The invention discloses a power data analysis method and device based on a K-line graph, and an intelligent terminal, aiming to solve the technical problems that in the prior art, the display and analysis of the power users' electricity consumption trend is usually in simple manners such as an average load curve or a maximum load curve, so that the display of the electricity consumption characteristic or change trend of the users is not direct and deep, the electricity consumption data is difficult to be accurately analyzed, and the electricity consumption health condition and running condition of the user side in the power industry cannot be generally known. The method includes acquiring the electricity consumption data of the user in the first preset time period, and calculating the electricity consumption load data in each second preset time period based on the electricity consumption data; making a power load K-line graph in each second preset time period according to the electricity consumption load data, and obtaining the power load K-line graph in the first preset time period by connecting the K-line graphs in the second preset time periods.

The invention provides a multilingual public opinion analysis-based tourism big data system. The multilingual public opinion analysis-based tourism big data system comprises a cross-language big datacollecting subsystem, a cross-language big data processing subsystem and a cross-language big data analysis and application subsystem, wherein the cross-language big data collecting subsystem is usedfor collecting and in real time transmitting multi-dimensional tourism public opinion data to the cross-language big data processing subsystem and the cross-language big data analysis and applicationsubsystem; the cross-language big data processing subsystem intelligently processes and analyzes collected multilingual data and transmits analyzing results to the cross-language big data analysis andapplication subsystem; the cross-language big data analysis and application subsystem popularizes and applies the analyzing results. Through collection and automatic machine translation and processing worldwide multilingual data and fusion with domestic tourism big data, the multilingual public opinion analysis-based tourism big data system can produce worldwide tourism big data knowledge graphsand tourism think tanks, thereby promoting tourism development from a global perspective.

The invention relates to the field of energy consumption monitoring and energy-saving evaluation of electrical equipment and particularly relates to a quantitative analysis method for influences on comprehensive energy consumption by electric energy quality. The quantitative analysis method mainly comprises the following steps: (1) measuring low-voltage end harmonic data parameters of a transformer; (2) measuring voltage deviation and apparent power parameters of a low-voltage side of the transformer based on an L-shaped equivalent circuit of the transformer, and combining nominal parameters of the transformer to calculate equivalent resistance in the equivalent circuit of the transformer; (3) measuring three-phase load current parameters of the transformer; and (4) giving different weights and calculating the comprehensive energy consumption of the transformer respectively aiming at a transformer energy consumption change condition caused by calculated harmonic waves, voltage deviation and three-phase unbalanced factors. The quantitative analysis method can be used for rapid and accurate quantitative transformer electric energy quality energy consumption condition in engineering application, and provides effective data support for analyzing energy consumption characteristics of the transformer.

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 present invention relates to an intelligent alarm and comprehensive judgment method of an intelligent substation. The method comprises the steps of (1) carrying out comprehensive analysis and judgment on the message recorded by a network message recording and analyzing device between a process layer and a station control layer for the network communication link of the intelligent substation, (2) for the related device in the SV network or GOOSE network of the intelligent substation, uploading the self-test information of the related device through GOOSE or MMS, and obtaining the corresponding message information to carry out comprehensive judgment by the network message recording and analyzing device. According to the method, the comprehensive analysis of the communication network of the substation can be effectively realized, an accident reason can be rapidly searched, and an effective support can be provided for the accident analysis of the entire substation and the accident analysis of substation equipment.

Provided is a bus tire management system. The bus tire management system can be combined with the current advanced RFID technology to provide an optimal solution for operators according to actual service requirements for tire management. The tire management system is composed of a background management system, a front handheld terminal and a network communication system, wherein the handheld terminal collects tire label data and has direct access to the background through the Ethernet for basic information maintenance and updating work, operation information of each tire is recorded and transmitted to the background for data updating, and therefore tire information management is achieved.

The present invention provides a method for predicting a flowing temperature of coal ashes. The method includes substituting component content of the coal ash to be detected into a coal ash flowing temperature predicting model, to obtain a predicting value of the flowing temperature of the coal ash to be detected, wherein the coal ash flowing temperature predicting model is constructed by the following steps: analyzing the coal ash composition and the coal ash flowing temperature of the coal entering the factory or the mixed coal, and building a sample point data set using the obtained multiple groups of analyzed data, wherein each group of analyzed data includes the coal ash composition content and the corresponding coal ash flowing temperature; based on the sample point data set, using the coal ash composition content as an independent variable, using the coal ash flowing temperature as a dependent variable, and establishing the coal ash flowing temperature predicting model using a method of partial least-squares regression. The method solves the boundedness of complex analysis procedures and long analysis periods of a conventional coal ash flowing temperature measuring method. In addition, the method overcomes the ill effect of the multiple correlations on system modeling, narrows errors in model predicting, and increases robustness of the model.

The invention relates to the technical field of livestock scientific breeding, and provides a live pig breeding monitoring node, system and method. The monitoring node comprises a radio frequency recognition unit, a water intake collecting unit, an image collecting unit and a data transmission module and is used for obtaining the identity ID, the body temperature, the water intake and drinking picture information of each pig, information collected by the monitoring node is sent to the far end through the data transmission module so that related people can perform remote monitoring; the relatedbody temperature, the water intake and the drinking picture information of each live pig can be quite conveniently monitored automatically, continuously and cooperatively, and the problem that data errors are caused by manual independent monitoring of various indexes of live pigs is avoided, so that the monitoring efficiency is greatly improved, and effective data support is supplied to early warning and diagnosis of live pig fever diseases.

The invention discloses a radar image simulation-oriented terrain environment data representing method and belongs to the technical field of simulations. The method is used for constructing radar terrain databases which have consistent representation and are used for simulating real environments. The method disclosed by the invention comprises the following steps: 1, constructing the static storage representation of terrain data, comprising a terrain data coding method, a terrain space reference model and a radar terrain scattering sectional area data representation; and 2, constructing simulation dynamic representation of the terrain data, comprising detail level structure constructing and a real-time memory scheduling method of data. The method disclosed by the invention is mainly used for the ground imaging simulation in an airborne radar simulation system, is an essential constitution for developing the real-time radar simulation system and has a broad application prospect in the aspects of flight simulation training and radar design.

The invention discloses a new energy vehicle fault data acquisition method and a device. The method comprises the following steps: the latest first vehicle data of a first time period are acquired; second vehicle data of a second time period are acquired from generation of a fault, wherein the first vehicle data and the second vehicle data comprise controller local area network CAN messages; the first vehicle data and the second vehicle data are combined to form a combined file; the combined file is compressed so that a compressed file is obtained; and the compressed file is stored in a storage device. The positive effects of the new energy vehicle fault data acquisition method and the device are that problems that a new energy vehicle is limited in fault data storage space and low in pertinence of the stored data during a driving operation state data recording process are solved so that storage cost can be greatly reduced.

The invention discloses a power communication equipment performance analyzing method based on big data. The method includes: acquiring the equipment performance data of power communication equipment and preprocessing the equipment performance data; grouping the preprocessed equipment performance data to obtain grouped equipment performance data; building a classification feature library according to the equipment performance data time distribution features of the power communication equipment; comparing the grouped equipment performance data and the equipment performance data in the classification feature library to obtain the equipment performance state of the power communication equipment. Compared with the prior art, the method is high in analyzing efficiency and has effective data support.

The invention discloses an intelligent metal structure monitoring system. The intelligent metal structure monitoring system comprises a large-area monitoring system, a small-area monitoring system, a field center server, a data control center and a client side, wherein the large-area monitoring system is used for acquiring the image of a metal building and sending the image to the field center server; the small-area monitoring system is used for acquiring the temperature data, deformation data, pressure data and leaked water data of nodes through sensors arranged at the nodes of the metal building, and sending the data to the field center server; the field center server is used for storing the received data and transmitting the data to the data control center; the data control center is used for calculating and analyzing the received monitored data, and then storing the analysis result and sending the analysis result to the client side. According to the intelligent metal structure monitoring system, the metal structure is monitored from the integral and small parts by virtue of the large-area monitoring system and the small-area monitoring system, so that double insurance can be realized, mutual verifying can be realized, and further, the monitoring accuracy can be well provided.

The invention discloses a hydrological simulation device for a drainage asphalt pavement and a testing method for the hydrological simulation device. A testing bearing platform is established in a laboratory, a canopy and a canopy bracket are mounted on the testing bearing platform, a water supply pipeline and a rainfall sprinkle nozzle are mounted on the canopy bracket, a water tank and a water return pipe are arranged in the middle of the testing bearing platform, the water return pipe is connected with the water tank, a wheel movement guide rail and a guide rail bracket are arranged on the testing bearing platform, a wheel towing frame is mounted on the guide rail bracket, a wheel towing motor and a standard wheel are mounted on the wheel towing frame, and a drainage testing pavement is arranged on the testing bearing platform. According to the hydrological simulation device for the drainage asphalt pavement and the testing method for the hydrological simulation device, determination of hydrological parameters such as pavement surface water depth and drainage efficiency of drainage testing pavements under different rainfall conditions and with different vehicle speeds and tire pressures, different pavement gradients and different structures can be simulated, and effective data support can be provided for the design and the construction of the drainage asphalt pavement.

The invention discloses an information acquisition and storage method based on a wind generator set control system, which is characterized by acquiring an acquisition system which can be connected with a programmable logic controller in a communication mode and used for acquiring variable data. The information acquisition and storage method comprises the following steps: 1. defining scanning period and a time stamp of the programmable logic controller for controlling the wind generator set, wherein the scanning period is x milliseconds; 2. setting a variable data information table and variable data sampling frequency in the acquisition system, wherein the variable data sampling frequency is N*x milliseconds, and N is a positive number; 3. starting the acquisition system, and respectively acquiring the corresponding variable data in the programmable logic controller according to the variable data sampling frequency; and 4. storing the variable data by the acquisition system. The method can be used for acquiring more detailed variable data of the control system and helping with quickly and accurately detecting the fault cause, and thus, has important meanings for wind generator set state monitoring and fault diagnosis.

The invention discloses a system for testing an anti-fog function of a video device. The system comprises an airtight haze environment test box, a haze generation chamber and a haze waste gas treatment chamber are arranged on the outside of the haze environment test box, a tripod head is arranged on the outside of the haze environment test box, the video device is installed on the tripod head, a turbine air circulation fan, an anti-deposition fan, a movable guide rail and a movable objective table are arranged on the bottom surface of the inside of the haze environment test box, a lamp box is arranged on the side, right opposite to the video device, of the movable objective table, a test graphic card is installed on the lamp box, an illumination lamp is arranged at the top of the inside of the haze environment test box, and an air exchange device and a sealing push-pull door are arranged on the top surface of the outside of the haze environment test box. The system solves the problems that an existing anti-fog test device can only test in a fixed point and cannot test in a dark chamber environment and provides a flexible and effective test method for researches of anti-fog capacity of the video device.

The invention discloses a reservoir fish resource acoustics investigation method. The method comprises the steps that (1), multi-mesh combination gill nets are designed; (2), the length of cruising paths is designed; (3), the cruising paths are designed; (4), net points are designed and laid, water surface sub-areas are designed, and the multi-mesh combination gill nets are laid in all the sub-areas; (5), underwater acoustics data are collected, and acoustics evaluation data of a reservoir fish resource are obtained; (6), fish samples are collected, the multi-mesh combination gill nets are laid in all the sub-areas before the sun sets, and statistics is carried out on the species, the body length, the body mass, the quantity and the proportion of catches in all the sub-areas; (7), the reservoir fish resource is evaluated comprehensively, and the underwater acoustics evaluation data and fish sample data are combined for obtaining a result of the reservoir fish resource. The effects of path planning and fish sample collecting in the acoustics investigation of the reservoir fish resource are achieved; the reliable basis is provided for reasonable utilization and management of the reservoir fish resource, and the condition of the reservoir fish resource is evaluated efficiently and fast.

The invention discloses a method and a system for obtaining combined interference matrixes of broadcast control channels, which are used for obtaining the combined interference matrixes of the broadcast control channels of a plurality of serving cells in a mobile communication network, and the method comprises the following steps: A. obtaining interference matrixes of sweep frequency data of the broadcast control channels of a plurality of serving cells; B. obtaining interference matrixes of measurement reports of the broadcast control channels of a plurality of serving cells; and C. calculating the combined interference matrixes of the broadcast control channels of a plurality of serving cells according to the interference matrixes of the sweep frequency data of the broadcast control channels of a plurality of serving cells and the interference matrixes of the measurement reports of the broadcast control channels of a plurality of serving cells. Therefore, the combined interference matrixes of the broadcast control channels can be obtained, thus representing the interfered condition of the broadcast control channels of the serving cells in the mobile communication network completely and accurately.

A distance estimation method based on pedestrian head height belongs to the field of intelligent image visual distance estimation, is used for solving the problems of high cost performance, strong real-time performance and low complexity unification of a pedestrian-vehicle distance, and is characterized in that head part pixel heights at different distances are obtained in an image; a rigidity part dimension-distance interpolation model is constructed; the pixel height of the pedestrian head part to be measured in the image is acquired and input as the ridgity part dimension-distance interpolation model, the distance is acquired. The method has the effects such as little calculation amount of the rigidity part dimension-distance interpolation model. Additionally, the requirement of an autonomous automobile to a distance estimation system is met in the real-time nature.

The invention provides a power grid continuous operation simulation section generation method and system. The method comprises the following steps of acquiring power grid model data; acquiring historical power flow data, and matching the historical power flow data with the power grid model data, and generating initial data sections; generating a continuous scene data section based on the pluralityof initial data sections; and adjusting the continuous scene data section, and generating a continuous operation simulation section. According to the method and system, the section initial values areadjusted through technologies, such as distribution, adjustment, optimization adjustment and the like, so that the convergence and the accuracy of power flow calculation are improved, and the usability of the power flow data section is further improved; the simulated section set for simulating the continuous operation of the power grid is provided, so that effective data support is provided for testing and verifying of the analysis application software of a dispatching automation system, the effectiveness and reliability of the analysis software are improved, and safe and stable operation ofthe dispatching automation system is guaranteed.

The invention provides an online detection device for misalignment of band steel in coiling and a detection method. The device comprises a line structural light emitter for projecting line structural light to a detected steel coil, an image acquiring unit for acquiring line structural light reflected by the surface of the steel coil, and an image processing unit for processing the line structural light and acquiring the misalignment depth of the band steel. With the adoption of the device and the method, the problem that the misalignment depth of the band steel in coiling by a coiling machine cannot be measured in real time is solved; the misalignment height of the band steel can be detected on line and in real time when the band steel is coiled by the coiling machine on the premise that the coiling production conditions are not influenced; the device is safe, reliable, and high in accuracy; effective data support is provided to analyze and solve the problem of coil shape quality in later period; and the coiling machine is assisted to reduce the misalignment depth of the coiled band steel.

The invention discloses a destination population prediction method, and the method comprises the steps: setting a reference position, and constructing a Thiessen polygon network of a to-be-predicted region according to the reference position; recording all feasible paths from the starting point to the destination point in the range of the to-be-predicted region; according to the original total population quantity of the destination point and the population quantity among all the feasible paths, calculating a probability value from the population starting from the starting point to the destination point; and obtaining the total population quantity of the destination point at the target moment according to the original total population quantity of the starting point, the original total population quantity of the destination point, the outflow population quantity of the destination point and the probability value. According to the method for predicting the population quantity of the destination, the population quantity of the destination can be predicted based on dynamic data, the population flowing situation is reflected in the prediction process, and the accuracy of destination population prediction is improved. The embodiment of the invention further discloses a device for predicting the population quantity of the destination and a storage medium.

The invention, which belongs to the technical field of mining machinery and equipment, discloses an online monitoring system for oil seal leakage of a mining reducer and an online monitoring method. The online monitoring system comprises an oil collecting device, a detecting device and a central controller. The oil collecting device is used for collecting sealed oil leaked by a reducer. The detecting device detects and outputs oil amount data information of the sealed oil collected by the oil collecting device. The central controller receives the oil amount data information outputted by the detecting device and carries out data analysis and processing. Besides, the online monitoring method uses the online monitoring system. Therefore, a problem that the operation can not distinguish the sealed oil leaked conventionally from sealed oil leaked after sealing failure is solved. Meanwhile, the oil amount and the oil amount changing rate of the collected sealed oil are detected to provide ascientific data support for determining the oil leakage fault of the reducer; on-line monitoring of the oil leakage fault of the reducer is realized; and the operator can discover the oil leakage fault of the reducer timely and accurately.