171results about How to "Reliable technical support" patented technology

The invention discloses an ore concentration area scale area three-dimensional geological modeling method and system. The method comprises a step of obtaining geological survey data which comprises stratigraphic area feature data, tectonic line feature data, occurrence point feature data, drill hole feature data, exploration line feature data, and trenching feature and tunnel feature data, a step of defining the spatial and temporal relationship between stratums, the spatial and temporal relationship between faults, and the spatial and temporal relationship between the stratums and the faults, a step of using a Cokriging algorithm to carry out implicit spatial interpolation on the geological survey data and the spatial and temporal relationships, a step of constructing a virtual geological section according to an interpolation result, a step of editing the virtual geological section, and a step of determining an ore concentration area three-dimensional geological model according to the virtual geological section. The invention provides the ore concentration area scale area three-dimensional geological modeling method and system, and on the basis of ensuring low cost, the accurate modeling of the geology of an ore concentration area scale area can be carried out.

The invention discloses an aquaculture water quality short-time combination forecast method on the basis of multi-scale analysis. The method includes the steps that water quality time sequence data are acquired online and repaired; through empirical mode decomposition, the selected water quality time sequence sample set data are decomposed into IMF components and residual rn components, wherein the IMF components and the residual rn components are different in frequency scale; the IMF components and the rn components are classified, a manual bee colony optimization least square support vector regression machine, a BP neural network and an autoregressive sliding average model are respectively selected for forecast according to classifying features, and finally, all results are weighed and summed to obtain a water quality time sequence forecast result. According to the method, the original water quality time sequence data are decomposed into the components different in time frequency through the empirical mode decomposition, and change conditions in original water quality sequences can be mastered more accurately; advantages of the manual bee colony optimization least square support vector regression machine, advantages of the BP neural network and advantages of the autoregressive sliding average model are complemented and combined, and thus performance of a combined forecast model is effectively improved.

The invention relates to a high-speed train operation kinetic parameter detection method which comprises the following steps: establishing a random vibration numerical simulation model of train kinetic state and finishing power spectrum response simulation calculation; optimally laying out a line test sensor, measuring dynamic response time-domain information of each test point during line operation of a train, and extracting vehicle part dynamic response characteristics after frequency-domain power spectrum analysis and processing of a test signal; establishing a basic equation of kinetic parameter detection by consistency between numerical simulation power spectrum and line test power spectrum; and solving the basic equation and obtaining and outputting vehicle kinetic detection parameters under the condition of power spectral density consistency. According to the invention, train kinetic parameters are used as monitoring objects, and by combining a field test technology and a dynamic simulation technology, the basic equation of dynamic parameter detection is established to finish the detection of high-speed train operation dynamic parameters. By the method, long-term behavior assessment of high-speed train operation kinetic parameters is achieved, and technical support is provided for train operation safety and reliability.

The invention discloses a method for evaluating the greenness of construction parts and an evaluation device using the evaluation method. The method comprises the steps: performing market survey and information consultation, and classifying commonly used construction parts; decomposing evaluation indexes layer by layer by applying a WBS method, establishing a green construction part evaluation index system, collecting and calculating original data of typical construction parts, and establishing a construction part information base; entering data information of a construction part to be evaluated; adjusting and modifying index weight, namely judging whether the related content is adjusted according to industrial standard data, and determining the weight of evaluation indexes of the greenness of the construction part; establishing and calling an index utility function; evaluating the greenness of the construction part to be evaluated; and obtaining an evaluation result, and performing data saving on the evaluation result. The method starts from the whole life cycle of the construction parts, adopts the combination of quantitative analysis and qualitative analysis, and finally realizes the establishment of the method for evaluating the greenness of the construction parts.

The invention provides a method and system for applying facial expression recognition in big data analysis. The method comprises the steps that the information of facial expressions of a large number of users showed in the process of reading is recorded, the positions of the information of the showed facial expressions and the classes of the facial expressions are recorded, and when it is needed, according to screening conditions, the results according with the screening conditions are obtained through statistics in data of records of the facial expressions of the users and reading content. The purpose that through an Internet big data statistics mode, samples are pushed to infinite, feedback data are analyzed, and thus an accurate effective analysis result is obtained is achieved.

The invention relates to a fracturing pulse sand filling system with ultrahigh flow conductivity. The fracturing pulse sand filling system comprises an external control unit, an internal controlled unit, an external fracturing pump truck unit, a sand mixing truck and a fluid storage tank. Fracturing sand-mixed fluid is accommodated in the sand mixing truck, fracturing base fluid is accommodated in the fluid storage tank, the external control unit controls the internal controlled unit, so that the sand-mixed fluid in the sand mixing truck and the base fluid in the fluid storage are alternately pumped into the external fracturing pump truck unit at intervals, and the sand-mixed fluid and the base fluid are finally alternately pumped into underground exploitation cracks at intervals by the external fracturing pump truck unit. The fracturing pulse sand filling system has the advantages that propping agent slugs added with fibers can be injected in a pulse manner under the control of the system, the flow conductivity of the prop cracks is greatly improved, a lag effect due to continuous opening and closing of an existing sand mixing truck is prevented, damage to the sand mixing truck is reduced, and pressure building during propping agent injection can be effectively prevented by the system.

The invention relates to medlar coreopsis tinctoria flower tea, which is a tea bag formed by uniformly mixing the following raw materials in percentage by weight: 65-73% of purified and impurity-removed coreopsis tinctoria flowers, 8-12% of xylitol, and 18-24% of medlar extract. According to the invention, nutritional substances and flavors of coreopsis tinctoria flowers are greatly retained; and the disadvantages of high loss amount of effective substance, low absorbance amount and poor mouth feel caused by the traditional method are thoroughly overcome.

The invention relates to an information sending device used for maritime search and rescue, in particular to an information receiving device and a maritime search and rescue system used for maritime search and rescue; the information sending device can send a signal which contains the positioning information and the recognition information of a main body asking for help; the information receiving device comprises a signal receiving unit which is used for receiving the signal sent by the main body asking for help and a display unit which is used for displaying the positioning information and the recognition information of the main body asking for help; the information sending device and the information receiving device can quickly determine the dynamic distress position of the ship and crews falling in water when applied to the maritime search and rescue, can realize quick rescue, and can lead the people falling in water to realize asking for help actively.

The invention discloses a power transmission line ice coating real-time distribution module calculation method, which comprises the steps of screening real-time meteorological data; recognizing the real-time meteorological data; building a real-time ice coating model; calculating the real-time ice coating thickness of each station; performing ice coating climate condition zoning; building an ice coating trend calculation model; determining a model recurrence period; correcting the ice coating thickness; building an ice coating real-time distribution model; and deducing a final ice coating real-time ice thickness distribution diagram by zone real-time ice thickness distribution features and ice coating real-time ice thickness. The method solves the technical problems that the power transmission line ice coating trend model in the prior art does not sufficiently consider the real-time weather, so that the model cannot reach the precision required for simulating the actual ice coating condition; the ice coating information of a power transmission line cannot be mastered in real time; and the guidance on the power transmission line anti-icing and disaster reduction work cannot be realized, and the like.

The invention provides a heat supply network equivalent modeling method. The method comprises the steps of building a centralized heat supply primary pipe network system mathematical model according to a fluid network modeling technology; performing equivalent aggregation on the built mathematical model so as to acquire a model parameter; and checking whether deviation exists or not between the model parameter and measured data. The modeling method provided by the invention is based on heat transfer and fluid mechanics principles and a power system, and the mathematical model built based on the fluid network modeling technology conforms to physical characteristics of an actual heat supply network; simplification and checking for a large complex heat supply system model are realized through topological structure simplification, key parameter identification and field measured data, and the calculation speed and the accuracy of a heat-power joint optimization model are improved.

The invention relates to an industrial welder intelligent monitoring system; a traditional welder monitoring structure is improved; a staff identity identifying structure is introduced; and on the basis, the invention further relates to a monitoring method of the industrial welder intelligent monitoring system. An internal structure design of a measuring control box (1) introduces a staff identity identifying module to obtain identity information of staff; the identity information of the staff is sent to an upper server (2) for comparing with prestored staff identity information to realize the staff identity verification; according to the verification result, the power supply for a welder is automatically controlled, so that persons without specific welding qualification can be effectively prevented from performing specific welder operations; and based on the staff identity verification, the association between the obtained welder work monitoring data and the staff can be realized, so that the quality event tracking is convenient, and more effective technical support is provided for the welding quality guarantee.

The invention relates to a method for forecasting short-term wind speed of a wind farm based on data driving. The method comprises the following steps: S1, determining an input variable and an output variable of a relevance vector machine forecasting model according to a preset forecasting time interval; S2, training the relevance vector machine forecasting model by use of a training sample set; and S3, forecasting the wind speed according to the trained relevance vector machine forecasting model to obtain corresponding wind speed forecasting value. The invention also relates to a system for forecasting short-term wind speed of the wind farm based on the data driving. The system comprises a variable determination module for determining the input variable and output variable of the relevance vector machine forecasting model according to the preset forecasting time interval; a training model for training the relevance vector machine forecasting model by use of the training sample set; and a forecasting module for forecasting the wind speed according to the trained relevance vector machine forecasting model to obtain the corresponding wind speed forecasting value. The method provided by the invention is established based on the relevance vector machine, and can accurately forecast the wind speed.

The invention discloses a method for flotation and recovery of metal copper in copper smelting wasted fireproof materials. According to the method for flotation and recovery of the metal copper in the copper smelting wasted fireproof materials, after copper smelting wasted fireproof material raw ore is crushed, wet type ball milling is conducted; and ore pulp is subjected to flotation separation with kerosene as an auxiliary collecting agent, xanthate as a collecting agent, terpilenol as a foaming agent and sodium hexametaphosphate as an inhibitor, and flotation concentrates and flotation tailings are obtained. The method solves the problem of stacking of existing copper smelting wasted fireproof bricks and can also comprehensively utilize the wasted fireproof brick resource and turn waste into wealth.

The invention discloses a demand response type customized bus network planning method based on a two-stage optimization model. The method comprises the steps of dynamically collecting travel demands through a network platform; establishing a demand response type customized bus network framework, and initializing a customized bus network by utilizing historical data; modifying the customized bus network based on an insertion check algorithm and a dynamic insertion algorithm according to the new requirements of the user; integrating all feasible temporary schemes, estimating the travel cost andtravel time of the user, providing travel plans, and waiting for the decision of the user; calculating the travel confirmation probability of the user based on the Monte Carlo simulation process; andupdating the target function and the time deviation constraint based on the travel confirmation number, and statically planning and customizing the bus network by adopting a graph search algorithm based on a branch and bound algorithm to obtain a final scheme. According to the method, the customized bus service is more humanized, and reliable technical support is provided for actual operation optimization of the customized bus.

The invention discloses a particle and bubble collision detection method based on Otsu image segmentation. According to the method, first, an image is optimized by use of image preprocessing operation, and a target area and a background area are segmented through an Otsu method; second, particles and bubbles are fitted into a circle in combination with a least square method to facilitate solving of coordinate information and a radius; and last, all particle positions are extracted into one image, tracking of the particle positions is realized, and the complexity of continuous frame image tracking is lowered. Through the algorithm, whether the particles and the bubbles are in collision can be quickly detected, and working time of a manual test is effectively saved.

The invention discloses an electric power inspection image identification method, which comprises the following steps: calibrating a camera, processing a video to obtain a frame image, preprocessing the obtained image by adopting an image enhancement method based on active illumination, carrying out target identification on an insulator image based on a YOLOv4 network target detection method, andperforming insulator extraction, namely insulator feature extraction. According to the method, feature matching operation is only carried out on the pre-selected frame image, so that the size of the image in the image is reduced, the calculation efficiency is greatly improved, and a beneficial effect is achieved for improving the real-time performance of target detection. According to the invention, defect identification is carried out on the insulator in an inspection image containing a complex background in a real environment, and reliable technical support is provided for a power grid maintenance department.

The invention relates to a gate driving circuit board. The gate driving circuit board is used for driving and controlling a high-power IGBT (insulated gate bipolar transistor and comprises a CPLD (complex programmable logic device) master control chip, a primary low-voltage PCB (printed circuit board), a secondary high-voltage PCB (printed circuit board), an isolation driving transformer and a high-voltage dividing PCB. A gate driving unit in the gate driving circuit board comprises a power source module, a high-voltage dividing module, a short circuit protecting module, a fault display module, a fault feedback module, a self-checking and self-recovery module and an optical fiber starting module. The gate driving circuit board, the gate driving unit and a gate driving method provide update alternatives and optional schemes for same-specification GDU-DYTP 140 A which is commonly used in the past. Compared with imported products, the gate driving circuit board, the gate driving unit and the gate driving method reduce the cost, improve the efficiency and embody significant advantages through excellent performance and excellent service.

The invention discloses a coal mine distributed collaborative one map system and a collaborative management method. The collaborative system comprises a service interface layer, a service collaboration layer and a data storage layer; the service interface layer comprises mine maps of different majors of coal mines and a service interface of attribute processing, the service collaboration layer corresponds to each professional service interface comprising a corresponding mine map and an interaction interface of attribute management, and comprises a user authentication module, a graphics and attribute processing cooperation module, a searching service module and a map service module; and the data storage layer is used for storing coal mine map data, and comprises an index database, a tile library, and a database. According to the technical scheme, a unified management platform for multi-major data stratification is established, dynamic real-time update and sharing of various types of data are realized, the consistency and timeliness of data in different majors and different users are insured, the digital efficiency and production efficiency of the mine are greatly improved, and a powerful and effective technical support for coal mine safety management is provided.

A method for segmenting point cloud data of a shield tunnel surface includes such step of projecting the point cloud of a shield tunnel, and converting three-dimensional point cloud to two-dimensionalpoint cloud according to the direction of the point cloud of shield tunnel; 2) extracting the boundary point, gridding the projected two-dimensional point cloud, and extracting the upper and lower boundary points of the point cloud by using the grid; 3) calculating the segmentation position of the tunnel point cloud, comprising a) calculation of tangent slope of extracted boundary point; and (b)subparagraph position calculation; 4) processing that segment positions of the shield tunnel point cloud on the two projection plane jointly to complete the segmentation of the whole tunnel point cloud data, so as to prepare for the modeling of the tunnel point cloud. The present invention has the advantages that 1) the segmentation method of point cloud on the surface of shield tunnels is studied, which provides technical support for the extraction of the central axis of shield tunnels based on TLS technology, section analysis and other point cloud processing methods. 2) the method can effectively improve the accuracy of the axis fitting and supplement the deformation monitoring technology of shield tunnels, and has the important practical value in the safety monitoring of shield tunnelsand the prevention of major accidents.

The invention discloses a vertical dispatch method for double sub-elevator groups for energy saving, and relates to a vertical dispatch method for double sub-elevator groups. The method aims to adapt to the dispatch of double sub elevators for meeting the requirement of passenger flow changing and different floors. The method comprises the following steps of: carrying out collection on an elevator calling signal of a passenger; according to the collected information of the elevator calling signal, a car operating status and the like, analyzing a current traffic mode; applying a genetic algorithm to realize a dynamic sub-region control strategy, and generating an initiate group; decoding an individual, and calculating an individual application degree value; judging whether the individual with the highest application degree satisfies the operation rule of double sub elevators or not, if yes, further judging whether a final condition is met, if no, abandoning the individual, and carrying out genetic operation; and selecting the next generation, carrying out crossing and variation, calculating the individual the individual application degree value of a new generation, repeatedly implementing the genetic operation until meeting the final condition, and responding to passenger calling with an elevator dispatch scheme of a final individual. The vertical dispatch method is applied to the vertical dispatch of the double sub-elevator groups.

The invention provides a method for obtaining eustoma regeneration plant by anther culture, comprising the following steps: selecting materials, carrying out flower bud sterilization, inducing callus, enabling the callus to differentiate and germinate, breeding the regeneration plant, etc. By using the method, the success rate of eustoma genetype induction reaches 100%, healing induction rate reaches 35-100%, callus differentiation rate is 8-23%, and differentiated plant number per callus can reach 28. The eustoma regeneration plant produced by the method can be used as a good parent material for F1 generation seed production.