233results about How to "Forward-looking" patented technology

The invention relates to the field of coal mine safety technique, specifically to a down-hole coal and gas outburst hazard early warning system and early warning method. The coal and gas outburst synthesized early-warning system, uses the existing local area network to connect a synthesized early-warning data server, an early-warning data management system and the existing coal mine safety monitoring system; analyzes the coal and gas outburst early-warning data in the synthesized early-warning data server by an outburst early-warning module; and emits early-warning information based on the analyzed result. The inventive coal and gas outburst synthesized early warning system and early warning method can perform centralized management and comprehensive analysis of the geological structure, coal seam occurrence, gas occurrence, mining production, daily forecast indicators, outburst forecast, gas emission and other security information that originally scatter in various functional sections of coal mine on the geographical information system GIS platform, integrates the existing resources, improves the accuracy of early warning, so that the early warning is both real-time and forward-looking, and can effectively prevent the occurrence of coal and gas outburst in coal mine.

The invention belongs to the field of on-line monitoring technology of insulative condition of SF6 (sulfur hexafluoride) gas insulated electric equipment, and in particular relates to a gas insulated electric equipment partial discharge multi-source joint detection method. The detection method mainly comprises the steps of preparing a test, cleaning a stainless steel cylinder, filling with SF6 gas, performing an industrial frequency AC SF6 gas PD test, pulse current detection, ultrahigh frequency sensor detection, fluorescent optical fiber sensor detection, discharge gas collection and component detection and the like. The detection method provided by the invention is simple in operation, liable to promote, and provides references for multi-dimensional information joint detection method. The detection method is widely applied to SF6 gas insulated electric equipment partial discharge multi-sensor joint detection under the condition of power frequency, and provides a simple test scheme for multi-dimensional information extraction of PD (Potential Difference) decomposition characteristics and a decomposition theory.

The invention provides a tissue engineering nerve graft based on a biological printing technology and a preparation method thereof. The tissue engineering nerve graft comprises an outer tube and a tube inside scaffolds, wherein trophic factors and/or cells can cover the inner surface and the outer surface. A high-fidelity printing operation is performed according to the actual nerve shape demand by utilizing the biological printing technology, a polymer solution is printed into the specified nerve graft in a three-dimensional way by using an ink-jet printer by adjusting the sizes and the quantity of the jet nozzles of the ink-jet printer, the distances from the jet nozzles to a bottom layer and the pulse frequency of a supercharger and writing a control program of specific printing, and the specified nerve graft is applied to treatment of peripheral nerve defect and spinal cord injury.

The invention discloses a polycrystal geometric modeling method. The polycrystal geometric modeling method comprises the steps that an MATLAB is utilized to generate a polycrystal pretexture, and a vertex coordinate value and marshalling sequence index value of each crystal face of each crystalline grain are gained; according to the obtained vertex coordinate value and the marshalling sequence index value, a geometric model of polycrystals are constructed in an ANSYS; then a grain orientation random factor method is adopted to generate each crystalline grain with random orientation, and aftera material parameter is given to each crystalline grain, mechanical model of a body-centered cubic polycrystal microstructure is obtained. The polycrystal geometric modeling method has the advantagesthat the problem that the coordination of unit attribution of every two adjacent crystalline grains is considered when unit attribution seed points are divided during modeling is solved; the implantation of a cohesion layer with the thickness is considered more conveniently, the use range of the model is expanded, and a foundation is laid for the subsequent research and optimization of BCC metal polycrystals.

A road congestion pre-warning method and device. The road congestion pre-warning method comprises the following steps: S1) determining a number alarm threshold value of vehicles and a speed alarm threshold value of vehicles on a pre-warning road; acquiring a number value of vehicles and an average speed value of all the vehicles on a current pre-warning road; S2) judging whether the number value of the vehicles on the pre-warning road is greater than the number alarm threshold value of the vehicles or not, and whether the average speed value of all the vehicles on the pre-warning road is less than the speed alarm threshold of the vehicles or not; and if the number value of the vehicles on the pre-warning road is greater than the number alarm threshold value of the vehicles, and the average speed value of all the vehicles on the pre-warning road is less than the speed alarm threshold of the vehicles, issuing a pre-warning signal. The road congestion pre-warning method is high in reliability and is promising.

The invention provides a blockchain account processing method and apparatus, and a storage medium. The blockchain account processing method comprises the steps of obtaining a request for generating ablockchain account; generating a random polynomial, and generating a quantum private key according to the random polynomial and the request; generating a quantum public key from the quantum private key through a Falcon encryption algorithm; and performing Hash mapping and coding on the quantum public key to obtain a quantum wallet address corresponding to the quantum public key. The quantum publickey is generated through the Falcon encryption algorithm, the security level of the block chain account is improved, and cracking of an existing block chain account system by a quantum computer can be resisted; Compared with an existing secret key formed by a student with a later quantum password, the quantum private key and the quantum public key generated by the method are smaller in storage space and faster in signature and verification speed, and the operation burden caused to the block chain server is also reduced.

The invention discloses a method and a system for establishing a smart city 'multi-specification-in-one 'evaluation system. The establishment method comprises the following steps: constructing a framework of a smart city multi-standard-in-one effect evaluation index system, and forming a first-level index and a second-level index; establishing a three-level index of a smart city 'multi-standard-in-one' evaluation index system; quantifying the third-level index through an index quantification method; determining the weights of the first-level index, the second-level index and the third-level index; and calculating the score value of the smart city'multi-specification-in-one', and defining the evaluation level of the 'multi-specification-in-one' effect of the smart city. The implementation system comprises an evaluation index management module, an evaluation input module, an evaluation output module and a user management module. According to the method, the blank of the evaluation methodfor the implementation effect of multi-specification integration of the smart city is filled, the research category and the research method in the field are expanded, and the method has foresight, scientificity and operability.

The invention discloses a real-time dynamic obstacle avoidance device and obstacle avoidance method of dual robots. The obstacle avoidance device comprises an obstacle avoidance master control module. The obstacle avoidance master control module comprises a position detection module, a collision detection module and a dynamic obstacle avoidance module which are sequentially connected. The position detection module is in communication with motors of dual robot bodies and is used for collecting position information of the dual robot bodies in real time. The collision detection module is used for receiving the position information sent by the position detection module and comparing the position information with the collision safety distance of the dual robot bodies. The dynamic obstacle avoidance module is used for receiving a comparison value of the collision detection module to plan an obstacle avoidance path of the dual robot bodies and send the obstacle avoidance path to motor executers of the dual robot bodies to execute a new obstacle avoidance path. According to the real-time dynamic obstacle avoidance device and obstacle avoidance method of the dual robots, the robot waiting time in the obstacle avoidance process can be shortened, real-time dynamic obstacle avoidance can be achieved, and therefore the work efficiency of the dual robots is improved.

The invention relates to a real estate user behavior analysis platform. The platform comprises a safety control and operation monitoring module, a data extraction layer, a data storage layer, an analysis mining layer, an interface service layer and an application client, wherein the safety control and operation monitoring module is used for monitoring safety operation of the real estate user behavior analysis platform; the data extraction layer is used for extracting data from the application client; the extracted data comprises business data, history data, log data and behavior data; the data storage layer is used for storing the data extracted from the application client; the analysis mining layer is used for loading data stored in a data warehouse, processing and calculating the data into a data matrix suitable for a mining algorithm, and operating a mining task by a mining engine to carry out calculation on the data matrix so as to obtain a user attribute; and the user attribute is stored into the data storage layer or displayed to the application client through the interface service layer. The platform has good openness, integrability and expansibility, and can be used for analyzing real estate user behaviors.

The present invention provides a smart city fire protection IOT (Internet of Thighs) big data management system, and relates to the technical field of fire protection. The system comprises a data collection mechanism for collecting historical data and real-time data, a data processing mechanism for performing machine learning on the historical data and establishing a predictive model, a data analysis mechanism for analyzing the real-time data by using the predictive model and making a fire occurrence probability, and a data transmission mechanism for transmitting the fire occurrence probability to customers. The historical data comprises hardware information and fire records. The hardware information comprises the historical usage time of the firefighting hardware corresponding to different moments in the past, historical maintenance of the firefighting hardware, and historical fire alarm information collected by using the firefighting hardware. The fire records comprise the time, theplace and the cause of fire occurrence. The real-time data comprises the real-time usage time of the firefighting hardware, real-time maintenance of the firefighting hardware, and real-time fire alarminformation collected by using the firefighting hardware. According to the system provided by the present invention, the integrated management of the fire protection industry can be implemented, andthe work efficiency and management of fire protection can be improved.

The invention provides a reactive navigation control method for an underground mining vehicle. The reactive navigation control method comprises establishing a front axle pose state vector estimation value model of a next moment based on a vehicle hinge joint, a front axle midpoint, front axle velocity, front axle yaw angular velocity, front axle turning radius, a rear axle midpoint, rear axle velocity, rear axle yaw angular velocity and rear axle turning radius; establishing a course deviation angle model; establishing an articulated vehicle front axle center position deviation model; establishing a turning angle control model which comprises a safety prediction model and a fuzzy control algorithm; and establishing an articulated vehicle velocity control model, and controlling the underground mining vehicle based on the articulated vehicle velocity control model.

The invention discloses a factory intelligent scheduling method which mainly comprises the following steps that equipment state information and factory environmental information are acquired via intelligent sensors; the equipment state information and the environmental information are respectively transmitted to corresponding PLC data acquisition stations; each PLC data acquisition station divides data into flow scheduling record data, key equipment control record data, equipment operation state data and key technological index data to be uploaded to a data center through data preprocessing; the data center performs extraction of knowledge rules so as to obtain a knowledge rule base formed by flow scheduling rules, equipment control rules and abnormity processing rules; and the corresponding rules are respectively read via an equipment intelligent control algorithm and a flow intelligent scheduling algorithm so that optimized configuration and scheduling of resources in an intelligent factory can be realized. Upgrading and reconstruction of conventional factory production modes can be realized so that production efficiency can be enhanced, production energy consumption can be reduced, environmental pollution can be reduced and production cost can be saved, and thus green production can be truly realized.

The invention provides a load forecasting method for an electric vehicle. The load forecasting method comprises the following steps: classifying influence factors for charging power of the electric vehicle and modeling the influence factors; confirming the influence factors for the charging power of the electric vehicle and adopting a Monte-Carlo simulation method for forecasting the charging power of a single electric vehicle in each time period per day under different influence factors; confirming the quantity of different living spaces and the quantity of electric vehicles contained in each living space, acquiring the charging power of the electric vehicle group charged in each living space in each time period per day according to the summation of the charging power of the single electric vehicle in each time period per day under different influence factors, and superposing, thereby acquiring the charging load of the whole electric vehicle group in each time period per day. According to the load forecasting method, the research is respectively performed for the factors, such as user behavior, charging modes, power battery characteristics, permeability and electrovalence, the influences of all the factors on the charging power characteristics of the electric vehicle are confirmed, and the expectation value of the charging power is forecasted.

The invention provides a vehicle scheduling method in an intersection region under an Internet-of-Vehicles environment. The vehicle scheduling method is mainly divided into two phases. The first phaseis a queuing occurrence judgment phase, and the second phase refers to a vehicle scheduling method after the queuing occurrence. The vehicle scheduling method comprises the steps of transmitting a queuing condition of the first phase to a vehicle-mounted unit and a central base station, suspending a judging mechanism when detecting the occurrence of queuing, sending control signals to vehicles entering a control region by means of the vehicle-mounted unit and the central base station, starting vehicle control of a queuing lane and other lanes in the second phase, and controlling vehicles in the queuing lane to obtain driving priority on the premise of guaranteeing safety. The vehicle scheduling method is applicable to the intersection region and an upstream area without signal lamps, is more efficient than the traditional intersection signal control, and can allow the vehicles to pass through an intersection rapidly.

The invention relates to a compound fermentation type sun-cured red tobacco extract as well as a preparation method and applications of the compound fermentation type sun-cured red tobacco extract in electronic cigarettes, belonging to the technical field of tobacco perfumes. The invention further relates to the applications of the compound fermentation type sun-cured red tobacco extract in the electronic cigarettes. The compound fermentation type sun-cured red tobacco extract is applied to the electronic cigarettes as electronic cigarette tar, the smoke aroma concentration and richness can be obviously improved through atomization smoking, the brewing aroma and sweet aroma smell generated by fermentation are obtained, the sensory sucking quality is improved, and the compound fermentation type sun-cured red tobacco extract has the broad application prospect in the development of the flavor materials of electronic cigarette tar.

The invention relates to a rollover warning control method and system. The method includes the steps: firstly, acquiring road curvature information of a front set distance and current vehicle speed information, calculating the lateral acceleration of a vehicle after corresponding time according to the vehicle speed information and the road curvature information and taking the lateral accelerationas predicted lateral acceleration; secondly, judging the size relationship between set alarm threshold acceleration and the actual lateral acceleration and the predicted lateral acceleration of the current vehicle, and giving an alarm according to judgment results and corresponding data. The rollover warning control method is a prediction method and has perceptiveness, rollover risks caused by a front road are predicted before the vehicle reaches the front road, and the rollover risks caused by the severe degree of a front working condition is estimated in advance. When existence of the rollover risks is estimated, an alarm is given to remind a driver of corresponding operation, so that potential risks are controlled, the potential rollover risks are further avoided, rollover can be maximally avoided, and safety running of the vehicle is ensured.

The invention discloses an automated operating device for storage and verification of an electric energy meter of an electric power system and an operating method thereof. The automated operating device comprises an intelligent warehousing system, an RFID (radio frequency identification) property recognition system and a full-automatic verification assembly line, wherein the intelligent warehousing system comprises a high level three-dimensional good shelf and a physical distribution transport system, the RFID property recognition system comprises a radio frequency chip arranged on the electric energy meter to be verified and a radio frequency read device arranged in the intelligent warehousing system, the full-automatic verification assembly line comprises a system bus and a system branch line, the system bus is combined by modularized units which are connected with each other in series, and the system branch line comprises a plurality of verification branch lines which are connected in parallel. The automated operating device for storage and verification of the electric energy meter of the electric power system and the operating method have the advantages of realizing automated storage and verification of the newly purchased electric energy meter from the process of warehousing and verification to the process of delivery, and improving intelligent management level in metering storage and verifying production.

The invention relates to a severe infectious disease and mortality risk early warning system and method based on the virus detection rate. The severe infectious disease and mortality risk early warning system comprises a risk definition module, a risk element selection module, a risk network construction module, a risk evaluation prediction module and a graded early warning module. The severe infectious disease and mortality risk early warning system and method can effectively resolve the problems that an early warning mode based on infectious disease abnormal distribution judgment is inexact and not timely in judgment, prone to generating excessive early warning and the like and can be used for complementing and optimizing an infectious disease early-stage space-time early warning mode of a domestic infectious disease monitoring automatic early warning information platform.

The invention discloses a method for changing the material surface nano property, and relates to the technical field of machinery manufacturing, metal surface strengthening and nano technique. The method comprises the following steps of: impacting a pretreated material surface layer by using laser beams with high-power density and short pulse; then carrying out powder aluminizing at the temperature of 450 DEG C-600 DEG C; after cleaning, impacting an aluminized aluminide coating by using the laser beams, and finally obtaining the aluminide coating in nano structure. With the process sequence, the method greatly reduces the obtaining time of the surface coating and improves the high-temperature oxidization resistance and corrosion resistance of the material; meanwhile, the material surface generates ultrahigh-strain rate plastic deformation so that high-amplitude remnant pressure stress is generated, and the coating structure can prevent the release of remnant stress in high-temperature environment, so that the high-temperature fatigue life of the material is prolonged. Therefore, the aluminide coating obtained in the method can comprehensively improves the high-temperature oxidization resistance, corrosion resistance, wear resistance and high temperature fatigue life of the material.

The invention provides a preparation method of a magnesium-lithium alloy surface coating. Using ceramic precursor polymers such as polysilazane, polycarbosilane and polysiloxane as the base material, with fillers such as B4C powder, SiC powder, SiO2 powder, Al2O3 powder and a small amount of additives, the preparation is carried out as follows: 1. Add a certain amount of fillers and additives to the precursor solution, and mix it in a ball mill to form a uniform slurry; 2. Apply the slurry to the surface of the treated magnesium-lithium alloy by brushing or spraying; 3. Put the Put the painted sample into a nitrogen or vacuum furnace, and cure it at 150°C to 200°C for 0.5 to 2 hours; 4. Brush (or spray) and cure the sample to obtain a reinforced coating . The present invention forms a high polymer with a three-dimensional network through the cross-linking reaction of the precursor molecules, and forms a dense coating on the surface of the magnesium-lithium alloy through the addition of fillers. The coating has excellent corrosion resistance and corrosion resistance. Grinding and heat resistance and other properties. The invention is an ideal method for preparing the magnesium-lithium alloy coating with low cost and high benefit, and broadens the application of the magnesium-lithium alloy in the fields of aerospace, automobile, electronics and the like.

The invention belongs to the technical field of building indoor environment design, and discloses a passive energy-saving reverse design system and design method for a high-rise housing, and the method comprises the steps: determining a design parameter variable and a design target according to a building design type; analyzing the influence of different factors on the thermal environment and theenergy consumption condition of the building by utilizing the test data; analyzing influence rules of passive factors on building thermal environment and energy consumption under different combinationconditions by adopting a computer simulation method in combination with the building information model; determining influence characteristics and value ranges of different passive factors on buildingenergy consumption; establishing a rapid prediction model to analyze the influence relationship of the high-sensitivity parameters on the building thermal environment and energy consumption; obtaining a design scheme solution set meeting a target requirement based on the rapid prediction model; and establishing a multi-objective optimization model, carrying out data fitting, and outputting a passive energy-saving strategy of the high-rise residence. According to the method, the reverse design convergence is ensured, and meanwhile, the reverse design calculated amount is reduced by 40%.

The invention relates to a panoramic image splicing method and device, a storage medium and a display method and system, and the method comprises the steps: collecting left and right side pavement scene images in a vehicle driving process through left and right side cameras assembled in a panoramic look-around system, and obtaining a panoramic image through the computer vision and image processingtechnology; analyzing and extracting lane line feature information in the left and right road surface images in real time, fitting lane lines of the left and right spliced block images, rotating thespliced image according to an included angle formed by the lane lines on the same side to enable the spliced image to be fitted into a curve, correcting the spliced block images according to the rotating angle, and splicing the panoramic image. The method has the advantages of being easy to implement, high in image splicing gap accuracy, prospective, high in real-time performance, high in practicability, stable, reliable, free of additional accessories and good in application value and economic benefit.

The invention relates to a single-cycle detection and protection method for a peak current of a brushless direct current motor. The method improves the perspectiveness of detection on the peak current of the brushless direct current motor and overcurrent protection timeliness. On the basis of a traditional bus current sampling circuit, a bus current detection circuit cooperates with an AD module of a DSP to detect the bus peak current of the motor, and the detection process comprises current detection and overcurrent protection. In each chopping cycle of current detection, AD interruption is triggered at the duty ratio of three fourths, and the current of the motor is sampled. In each control cycle, once an overcurrent fault is detected, shutdown protection is conducted, and if it is detected that the current in a next control cycle is normal again, overcurrent protection is stopped at once. The method can shorten the time from detection of the overcurrent fault of the motor to protection implementation to be within one control cycle, and is high in real-time property.