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

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 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 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 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 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 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.