77results about How to "High forward-looking" patented technology

The invention discloses an adaptive cruise controller with lane changing auxiliary function and a working method thereof, the controller includes a sensing system, a lane change warning system, a lanechange assistance system and ACC systems, the sensing system is respectively connected with a lane change warning system, a lane change assistant system and an ACC system, the lane change assistant system is respectively bidirectionally connected with the lane change warning system and the ACC system, and the lane change assistant system is respectively connected with a lane change trajectory planning path tracker and an MPC controller. The invention not only has all the functions of the original ACC system, that ios, the rad traffic environment in front of the vehicle can be monitored by sensors such as a vehicle-mounted radar, and the vehicle can be longitudinally controlled so as to keep a safe distance between the vehicle and the front vehicle. It can also change lanes automatically when there is complicated traffic condition in front or the driver has the intention to change lanes to avoid obstacles. And the controller can effectively avoid accidents, but also greatly improve theACC system of driver lane change caused by discomfort.

The invention relates to an intelligent expressway pre-maintenance method based on an artificial neural network. Theintelligent expressway pre-maintenance method comprises the following steps: step 1,collecting input features and output features of a first layer of artificial neural network; 2, establishing a first-layer artificial neural network, and training and obtaining a neural network modelof a causal relationship between the road condition data and the road damage data; 3, establishing a second-layer decision tree model; 4, optimizing an algorithm formed by two layers of neural network models with time sequences from the road condition data to the maintenance decision; and step 5, according to the optimization algorithm in the step 4, obtaining a specification from the pavement damage parameter to the road pre-maintenance decision. According to the invention, the prediction precision, the prediction efficiency and the prediction perspectiveness can be improved.

The invention discloses a c DNA (Complementary Desoxvribose Nucleic Acid) of a cotton bollworm COPI Beta gene and an application of the c DNA. A COPI Beta si (Small Interfering) RNA of a cotton bollworm is designed and synthesized, so that the expression of the COPI Beta gene is blocked after the COPI Beta si RNA is fed to the cotton bollworm, thus the death rate of the cotton bollworm is improved. Therefore, the biological prevention and control of the cotton bollworm is realized.

The invention discloses a method and system for monitoring an abnormal fluctuation risk of an agricultural product market. The method comprises the steps: obtaining historical agricultural product data of a monitoring early-warning object; analyzing a price fluctuation rule through combining with the historical agricultural product data; carrying out the fitting of the price fluctuation distribution mode according to the historical agricultural product data and the price fluctuation rule; determining an early-warning threshold value of the market abnormal fluctuation through combining with thedistribution mode; obtaining the real-time agricultural product data of the monitoring early-warning object; calculating a price change amplitude of the monitoring early-warning object according to the distribution through combining with the real-time agricultural product data; judging whether the price change amplitude exceeds the early-warning threshold value or not: issuing the early-warning information if the price change amplitude exceeds the early-warning threshold value. The method or system provided by the invention achieves the monitoring and early warning of the market price of an agricultural product.

The invention provides a question and answer model training method, which comprises the steps of determining a hidden variable of a word level corresponding to a question statement through a hidden variable generation network of a question and answer model; decoding the word-level hidden variables through a reply statement generation network of the question and answer model to generate reply wordswith the same number as the word-level hidden variables; generating reply sentences corresponding to the hidden variables of the word level according to the reply words with the same number as the hidden variables of the word level; updating the parameters of the hidden variable generation network through the harmonic average of the precision rate and the recall rate corresponding to the generated reply statement; and updating the parameters of the reply statement generation network through the correct data annotation of the reply statement with the minimum loss value. The invention further provides a question statement processing method and device and a storage medium. The reply generated by the question and answer model obtained through training can be more targeted, so that the richness and the foresight of the reply can be improved, and the use experience of a user is improved.

Provided are a comprehensive sensor network service middle piece and a service transmission achieving method thereof. The service middle piece is used in a comprehensive sensor network which comprises a transmission layer and a service layer and comprises a receiving module, an information retrieval module, a service control processing module and a service path executing module. The service control processing module is used for forming an optimum interface allocation scheme after intelligent judging according to information provided by the information retrieval module, the scheme is issued to the transmission layer, and meanwhile the service path executing module is informed. According to the service transmission achieving method of the service middle piece, information such as the service priority, the transmission service type, the current interface resource using situation and various interface service transmission features is considered comprehensively, controlling and processing on all kinds of service transmission are achieved, the method is a connecting bond between the transmission layer and the service layer, the using capacity of network resources is improved, waste of interface resources is avoided, and meanwhile the effect of dynamic adjusting is achieved.

The invention discloses an Nb containing low-carbon low-alloyed steel with ultra-fine ferrite grain structure which comprises (by weight percentage) C 0.02%-0.20%, Nb 0.01%-0.10%, Si<0.80%, Ti 0.007%-0.025%, N 0.0035%-0.0083%, balancing Fe and unavoidable impurities. The invention also discloses its preparation method.

The invention discloses helicoverpa armigera V-ATPase A gene cDNA and application thereof. Helicoverpa armigera V-ATPase A siRNA is designed and synthesized, after helicoverpa armigera takes V-ATPase A siRNA in, expression of V-ATPase A gene is blocked, growth and metabolism of helicoverpa armigera are inhibited, the mortality is raised, and therefore helicoverpa armigera V-ATPase A gene cDNA is applicable to biological control of helicoverpa armigera.

The invention provides a project information processing method based on a project recommendation model, and the method comprises the steps: obtaining project information in a use environment of the project recommendation model, and converting the project information into corresponding recognizable text information; through an encoder network of the project recommendation model and a decoder network of the project recommendation model, according to the hidden variable of the at least one word level and the corresponding fusion feature vector, generating a text processing word corresponding to the hidden variable of the word level and a selected probability of the text processing word; selecting at least one text processing word to form a text processing result corresponding to the text information according to the selected probability of the text processing result; and converting a text processing result into new project information corresponding to the project recommendation model. Theinvention further provides a project information processing device based on the project recommendation model, electronic equipment and a storage medium. According to the method, the new project information generated through the project recommendation model can be matched with the use environment.

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.

The invention provides a data processing method and apparatus in a graph neural network, an electronic device and a storage medium. The method comprises the steps of obtaining an initial structure ofa first graph neural network and to-be-processed data in a data stream; triggering a decoupling process and decoupling the relational triples in the first graph neural network into a plurality of embedded components; determining graph embedding corresponding to different embedding components based on the different embedding components matched with the relational triples in the first graph neural network; triggering an updating process to update the relational triples in the initial structure of the first graph neural network to form a second graph neural network; therefore, dynamic data is processed by utilizing the graph neural network, continuous learning of the graph neural network can be achieved in different data to form a new graph neural network, and knowledge acquired by the initial graph neural network is reserved, so that the richness and the perspectiveness of data processing can be improved, and the use experience of a user is improved.

The invention provides a foundation soil standard soil layer sequence division method, which is provided on the basis of summarizing the existing geotechnical engineering investigation work experience and combining the engineering properties of soil on the basis of geological times and cause marks. According to the method, the problems that the current domestic and overseas foundation soil standard soil layer sequence division precision is not enough, lithologic layer codes are repeated, geological data are difficult to store, and a rock-soil BIM model and a geological and geographic information system are difficult to establish are solved. While the requirement of geotechnical engineering investigation data base construction is met, a foundation is laid for industry standardization, informatization and smart city construction.

The invention discloses a material demand prediction management method based on material whole-process data. The method comprises the steps of obtaining electric power material whole-process data by utilizing a material whole-process data platform; predicting the electric power material demand according to the obtained data; optimizing a storage mode of the electric power materials; and comprehensively managing electric power material dynamic storage. The method has the beneficial effects that operation states and environments of different equipment at different times and different places arepredicted by using a big data analysis technology for emergency materials; the method achieves the guidance of the advanced storage of types, scales and places of emergency repair materials, improvesthe prospectiveness of material management of a power grid company, guarantees the operation reliability support of a power grid, and reduces the operation cost of a power grid enterprise.

The invention discloses an intelligent environment-friendly monitoring system and method for an unmanned aerial vehicle, relates to a system and a method for environment-friendly monitoring through the unmanned aerial vehicle, and is to provide an intelligent environment-friendly monitoring system and method for an unmanned aerial vehicle capable of obtaining large-range data. The intelligent environment-friendly monitoring system comprises an inspection unmanned aerial vehicle, a hand-held terminal and an information monitoring center, the inspection unmanned aerial vehicle is used for loading various air quality monitoring sensors, flies to a specified position according to a set route to monitor the air quality, and is provided with a flight control system, a camera, a differential GPS,a data transmission module and a gas sensor, the hand-held terminal performs data analysis and fusion on the real-time concentration value of the gas detection device on the basis of acquiring flightpath planning and aircraft flight attitude data, and transmits synchronous data back to the information monitoring center, and the information monitoring center comprises an authority management module, a real-time data display module and a historical data query module.

The invention belongs to the field of epidemic emergency decision-making, and provides a joint decision-making system and method for data-driven epidemic detection and medical resource allocation. The system and method can continuously learn and improve the prediction and estimation of the number of susceptible persons, asymptomatic infected persons, symptomatic infected persons and convalescent persons and the propagation parameters of an epidemic based on continuously updated confirmed case data and epidemic detection result data; and aiming at minimizing the total number of future infected persons, the system and method dynamically carry out joint decision making on epidemic monitoring and medical resource allocation. With the system and method of the invention adopted, epidemic development can be predicted on the basis of the limited diagnosed case data and epidemic detection data, decision-making based on prediction is achieved, the total number of infected people is reduced, and the perspectiveness, effectiveness and scientificity of decision-making are improved.

The invention belongs to the field of biological gene engineering. A chilo venosatus walker ecdysis regulation transcription factor CsHR3 contains sequences shown by SEQ ID NO.1 and SEQ ID NO.2. The cloning method provided by the invention comprises the following steps of: extracting total RNA (ribonucleic acid) from chilo venosatus walker larvas in prepupal period, and carrying out reverse transcription to synthesize cDNA; designing a degenerate primer according to conserved sequences of different lepidopterous insect ecdysis regulation transcription factors, carrying out PCR (polymerase chain reaction) amplification on the intermediate segment of the chilo venosatus walker CsHR3 gene, designing a specific primer by adopting 3'-RACE (rapid-amplification of cDNA ends) technology, and then obtaining the 1266bp segment of the CsHR3 gene successfully. According to the invention, dsRNA is expressed in RNaseIII defective escherichia coli HT 115 by adopting a bacterium mediate RNAi technology to obtain dsRNA with biological activity, and the chilo venosatus walker ecdysis regulation transcription factor CsHR3 gene is silenced by feeding the chilo venosatus walker larvas, thus chilo venosatus walker can not complete ecdysis or normal growth and development process of the chilo venosatus walker is destroyed and biological prevention and control on the chilo venosatus walker is realized; or the chilo venosatus walker ecdysis regulation transcription factor is converted into a crop, and the crop with insect resistance is obtained.

The invention discloses an optoelectronic big data distribution operation and maintenance management platform, comprising a distribution network data acquisition module, a distribution network data analysis module and a distribution network data application module. This system is used in power system distribution operation and maintenance management, Through big data analysis, effective information is excavated in a large number of history data of a power distribution network, the whole operation states, abnormity or faults of the power distribution network are well identified, effective monitoring is performed, and a problem of a failure of analysis or low analysis efficiency in use of normal methods in case of big data quantity of the power distribution network is solved.

The invention discloses myzuspersicae hunchback gene cDNA and an application thereof; the cDNA of a key gene of hunchback (Mphb) for myzuspersicae embryonic development is transferred to a plant so as to obtain a transgenic plant which expresses Mphb dsRNA and inhibits myzuspersicae reproduction; when a myzuspersicae takes the transgenic tobacco, the expression of Mphb is inhibited; the embryonic development of the myzuspersicae is blocked; the daily mean myzuspersicae producing number is decreased; the reproductive capacity is reduced; and thus the myzuspersicae hunchback gene cDNA can be used for myzuspersicae biological control.

The invention provides a value-added tax invoice application analysis system based on a big data center, belonging to the tax information processing field. The value-added tax invoice application analysis system of the invention mainly solves the problems of massive data operation performance, data processing time, data sharing and application, data modeling processing and the like based on the big data collection, analysis and processing of Hadoop. The value-added tax invoice application analysis system of the invention can compare and analyze the invoice data of the whole bill type, the dataof tax collection and management to realize the multi-dimensional display of various types of taxpayer invoice information and the scanning of various risk points, predict the business behavior of enterprises behind the invoice and the trend of the national economy industry, early warning of enterprises with doubtful risks and the establishment of performance tracking of the accounting release, meet the requirements of a large number of efficient analysis and processing of tax invoice data.

The invention discloses a design method of a precast concrete component environment-friendly intelligent production system. The precast concrete component environment-friendly intelligent production system comprises a totally-enclosed sandstone aggregate storage and transportation system, a totally-enclosed concrete mixing and conveying system, an integrated sandstone separation and filter pressing workshop, an environment-friendly standard-reaching reinforcement cage processing workshop, an environment-friendly standard-reaching prefabricated part pouring and forming workshop, an intelligentsteam curing system, an intelligent water curing system, an intelligent finished product stacking, storing and shipping system, an informatization and intelligence management system and a production ancillary facility system. A highly-integrated, intelligent, systematic and environment-friendly precast concrete component production factory-like comprehensive solution and a design method based on the solution are provided; and the processes that comprehensive treatment is carried out on pollution sources such as noise, dust, solid waste and waste water are included, technologies such as the Internet of Things, big data and cloud computing are fused, technical means such as an application programming interface (API) are utilized, environmental protection is achieved, secondary utilization ofall materials is achieved, and the recycle environment-friendly requirement is met.

The invention provides a chat corpus labeling method, which comprises the steps of obtaining a question text set matched with chat corpus, the question text set comprising at least one question text which does not obtain a corresponding reply statement; expanding question texts in the question text set through a question text expansion model network in a chat corpus annotation model to obtain corresponding question text pairs; in response to the obtained question text pair, determining a reply statement corresponding to the question text in the question text set through a question-answer modelnetwork in the chat corpus annotation model; and correcting the question text pair and the reply statement, and establishing association between the question text pair and the reply statement. The invention further provides a chat corpus labeling device, electronic equipment and a storage medium. The chatting corpus annotation method and the device can achieve annotation of the chatting corpus.

The invention discloses an interpenetrating construction effect-raising method of entire cast-in-place outer wall high-rise housing. The method comprises the steps of construction at a main body structure construction layer of the N layer; construction at a dismantling construction layer of the N-1 layer; construction at a propped sealing construction layer of the N-2 layer; construction at an inner wall plate construction layer of the N-3 layer; construction at a drainage installation construction layer of the N-4 layer; construction at a pipeline installation construction layer of the N-5 layer; construction at a ceiling putty construction layer of the N-6 layer; construction at a kitchen and bathroom tiles paving construction layer of the N-7 layer; construction at a step and floor tiles paving construction layer of the N-8 layer; construction at an inner wall face first putty construction layer of the N-9 layer; construction at an inner wall face second putty construction layer ofthe N-10 layer; and construction at a staircase construction layer of the N-11 layer. It is guaranteed that the entire cast-in-place outer wall high-rise housing all kinds of professional type of jobscan be in interspersed operation continuously, so that the total construction time is shortened, the work efficiency is improved, and the refinement level of project management is promoted.

The invention provides an urban intelligent traffic early warning system based on the Internet of Things, and the system comprises: road monitoring collection nodes which are distributed in all roadsof a city, and are used for collecting the traffic flow information of the roads in real time, and transmitting the traffic flow information to a traffic prediction module; the vehicle-mounted terminal acquisition node which is arranged in a vehicle running on a road and is used for acquiring path planning information of the vehicle and sending the path planning information to the traffic prediction module; and the traffic prediction module which is in communication connection with the road monitoring acquisition node and the vehicle-mounted terminal acquisition node, and is used for predicting the traffic flow condition of the urban road according to the traffic flow information of the road and the path planning information of the vehicle, and sending out corresponding early warning information according to a prediction result. The system is helpful for improving the perspectiveness of urban road traffic condition analysis, and meets the requirements of modern urban intelligent traffic systems.

The invention discloses a method and a device for determining the risk of a vehicle track. The maximum risk, possibly brought by a vehicle, of the vehicle in a first limit state when the vehicle is atthe maximum risk is determined during the determination of the risk of the track. For each obstacle in the environment where the vehicle is located, the maximum risk possibly brought to the vehicle by the obstacle is determined on the basis of a second limit state of a behavior, which can be most unfavorable for the vehicle, made by the obstacle. According to the method and the device in the specification, the worst driving environment where the vehicle may be located and the most extreme motion state of the vehicle itself can be used as the basis for determining the track risk, and the comprehensiveness, the forward looking performance and the sensitivity of track risk determination are improved. In addition, the lowest risk bearing capacity of the vehicle and the maximum risk possibly brought by the obstacle to the vehicle can be patterned to a certain extent through the risk area which has a graphic attribute expression mode. The efficiency and intuition of determining the risk ofthe vehicle track can be improved.

The invention discloses a turnover fence suitable for building construction and an installation method thereof. The turnover fence comprises a block-shaped foundation, bolts, angle steel, hanging rings, an inclined support, a telescopic support rod, transverse supports, baffles, a solar panel, connecting pieces, fasteners, tightening pieces and an electric lamp, wherein the telescopic support rodis perpendicularly connected with a plurality of transverse supports through the connecting pieces, and the baffles are fixed to the transverse supports through the fasteners; the telescopic support rod is fixed to the block-shaped foundation through the connecting piece and the angle steel; the inclined support is arranged between the block-shaped foundation and the telescopic support rod; and both the solar panel and the electric lamp are arranged on the top of the telescopic support rod, and an energy output port of the solar panel is connected with the power end of the electric lamp. The fence main structure can be used in a turnover mode, welding is not needed in an assembling process, construction is convenient, and the construction cost is reduced.

The invention provides a water price calculation method and system based on the cost structure of a water supply project, and particularly comprises a cost structure water price system. The water price calculation method specifically comprises the steps of distinguishing the water demand within the design quota and the water demand beyond the design quota of the water supply project, and clarifying the rights and interests priority and payment responsibility; respectively selecting pricing elements of the two water demands, and calculating the feasible water price applicable to the water demand within the design quota and the small marginal water price applicable to the water demand beyond the design quota, thereby forming the cost structure water price system of the invention. According to the invention, the water supply project is facilitated to start from guaranteeing the water demand within the design quota and obtaining water supply benefits within the design quota in the runningphase, enables water users beyond the design quota to obtain water utilization net benefits by using the spare water supply capacity, enables the water supply project to increase the water supply netbenefits and improve tax and fee income of the government, thereby realizing a win-win situation of the three parties, and enabling the water supply capacity of the project to be fully played. In addition, the water utilization contradiction is avoided through clarifying the rights and responsibilities between responsibility subjects.

The invention provides a text information processing method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining to-be-processed text information; performing word segmentation processing on the to-be-processed text information, and determining at least one candidate keyword vector; dynamically adjusting the candidate keyword vector to form a candidate keyword vector set, and determining a keyword extraction strategy matched with the to-be-processed text information based on the candidate keyword vector set and reward value parameters through a deep reinforcement learning network; and extracting the candidate keyword vector set based on the keyword extraction strategy to obtain at least one keyword vector as a keyword of the to-be-processed text information. Therefore, the dependence on word granularity in keyword extraction is reduced, the extracted keyword of the to-be-processed text information is enabled to be suitable for different use scenes, and the user experience is improved.

The invention relates to a steel production equipment hidden danger level automatic identification alarm system, and belongs to the technical field of steel production risk assessment and early warning. The system comprises a steel safety production control module, a shooting guidance module, an edge calculation module, an image structured data conversion module, an equipment hidden danger level data model base module, an equipment health data model base module, a far-end server and other structures. According to the invention, the shooting guide module is controlled to shoot the pictures of the designated position and angle of the inspection equipment; and the image structured data conversion module, the equipment hidden danger level data model library module and the equipment health datamodel library module are controlled to perform corresponding calculation through the edge calculation module, the hidden danger level and the health index level of the inspection equipment are automatically identified, and an alarm is given according to conditions. The reliability and safety of operation, maintenance and inspection of the steel production equipment are improved, economy, perspectiveness and safety of planned inspection and maintenance of the steel production equipment are improved, and the method is easy to apply and popularize.

The invention provides an efficiency analysis method for accessing of an ultrahigh voltage grid to a receiving end grid. The indicators of the aspects of the grid safety and stability level, the energy supply safety and the energy saving and emission reduction benefit are calculated to omnibearingly analyze the influence of accessing of the ultrahigh voltage grid from multiple perspectives so as to enhance the operation safety and stability of the grid. The influence on the short circuit current level, the network frame power flow distribution and the contact line safety margin is mainly considered for the influence of the access efficiency of the ultrahigh voltage grid in the aspect of grid safety and stability level; the influence of ultrahigh voltage power on the power supply and demandbalance is mainly considered for the influence of the access efficiency of the ultrahigh voltage grid in the aspect of energy supply safety; and the influence of ultrahigh voltage power on saving standard coal and reducing carbon dioxide, sulfur dioxide and nitrogen oxide emission is mainly considered for the influence of the access efficiency of the ultrahigh voltage grid in the aspect of the energy saving and emission reduction benefit.