10results about How to "Realize prevention and control" patented technology

The invention relates to the field of violation monitoring, in particular to violation behavior monitoring equipment and method based on dual prevention. The technical problems that in the prior art, a violation behavior monitoring method lacks a prediction analysis and risk prevention and control mechanism, so that the early warning capability and the prevention and control effect of a monitoring system are limited, and a passive response mode is mostly adopted, that is, the violation behavior can be found and recorded only after the violation behavior occurs, and early warning and prevention cannot be performed in advance are solved; according to the technical scheme, the violation behavior monitoring equipment based on dual prevention comprises a high-definition camera, a mounting rack and a central processing unit; according to the invention, by introducing a risk assessment mechanism, quantitative assessment is carried out on the properties and consequences of the violation behaviors, the hazard level of the violation behaviors is determined, a scientific basis is provided for subsequent treatment measures, potential risk behaviors are predicted through a machine learning algorithm, early warning and prevention and control are realized, and occurrence of the violation behaviors and accumulation of potential risks are effectively reduced.

The invention provides a method for preventing and controlling tomato bemisia tabaci by using nesidiocoris tenuis, and relates to the technical field of pest prevention and control. The method comprises the following steps: S1, raising seedlings of tomatoes, and transplanting 20-25 days after raising the seedlings; s2, according to an intercropping mode that two rows of kidney bean planting belts are arranged every 3-4 rows of tomatoes, the kidney beans are arranged in a staggered mode and planted in different periods; s3, after tomato seedlings are planted, the density of the nesidiocoris tenuis in the kidney bean planting zone and the density of bemisia tabaci on tomato plants are monitored in real time, and the nesidiocoris tenuis is supplemented according to the monitored value; s4, performing field management. According to the method, the kidney beans and the tomatoes are intercropped, the kidney beans are used for providing a good survival and inhabitation environment for the nesidiocoris tenuis, good disease and pest prevention and control can be achieved in the whole growth period of the tomatoes, meanwhile, the yield of the tomatoes and the kidney beans can be improved, and economic benefits are increased.

This application belongs to the field of molten salt energy storage technology for concentrated solar power generation, specifically relating to a method and system for early warning of local dry burning in a molten salt electric heater. The method for early warning of local dry burning in a molten salt electric heater includes the following steps: real-time acquisition of operating data of the molten salt electric heater; calculation of the effective heat transfer coefficient of the heater using a first mathematical model based on the operating data; calculation of the thermal spectrum distribution factor using a second mathematical model based on the effective heat transfer coefficient, combined with the inherent structural parameters of the heater and preset fluid dynamics correction parameters; calculation of the local pipe wall temperature peak using a third mathematical model based on the operating data, combined with the effective heat transfer coefficient and the thermal spectrum distribution factor; dynamic updating of the fouling thermal resistance and calculation of the warning coefficient using a fourth mathematical model based on the local pipe wall temperature peak, operating data, and historical data of the molten salt electric heater; comparison of the warning coefficient with a preset threshold, and triggering an alarm signal if the warning coefficient is greater than or equal to the preset threshold.

The present application relates to the field of geographic information technology, in particular to a land transaction dynamic monitoring and analysis system based on multi-source data fusion, comprising a data integration and storage unit, a knowledge graph construction unit, a real-time verification unit, a trusted transaction verification unit, a dynamic monitoring and decision support unit. The present application integrates heterogeneous data through a multi-modal data lake architecture and unifies the time and space reference, uses knowledge graph technology to construct a transaction element correlation network to generate dynamic verification rules, combines with the Flink stream processing engine to realize real-time compliance filtering of the transaction process, uses the improved isolated forest algorithm and graph convolution network to complete the transaction price rationality verification and subject correlation analysis and stores the evidence based on the blockchain technology, so as to realize the intelligent management of the whole process of land transaction data, the accurate identification and prevention and control of risks, and the efficient and data-based support of regulatory decisions.

The application provides a composition with a killing effect on golden apple snails and application thereof, and belongs to the technical field of pest control. Effective active ingredients of the composition include discarded tobacco leaf extract and orange peel essential oil. The composition is extracted from natural plants, has high efficiency and safety, can effectively achieve the prevention and control of harmful soft-bodied animals, i.e., golden apple snails, has a significant killing effect on the golden apple snails at a low concentration, and is verified by experiments to have no toxicity to 3-4 cm carp fry at an effective concentration, fully indicating that the composition is safe to non-target organisms and has low environmental risk.

The application provides a facility agriculture disease and pest prevention and control method and device based on deep learning, relates to the technical field of agricultural protection, and collects canopy images according to a dynamically adjusted monitoring period through an imaging node in a facility, and outputs a binary change area graph after light compensation, pixel-level difference calculation and noise filtering; subsequently, suspicious lesion change areas are extracted from three continuous periods to generate a dynamic video sequence of diseases and pests, the sequence is input into a three-dimensional convolutional neural network of an embedded time attention enhancement module, spatiotemporal features are extracted to obtain a high-order feature vector; then, environmental auxiliary features are fused, a disease and pest classification result is output through a fully connected classifier, and a prevention and control instruction is generated; finally, a continuous learning strategy of a closed loop and experience playback is verified based on a prevention and control effect, model parameters are adaptively optimized, and a complete prevention and control closed loop is formed.

The application provides a multi-party collaborative progress visualization monitoring method for intelligent building facilities, relates to the technical field of intelligent building construction monitoring, and comprises the following steps: collecting data to establish a three-dimensional model; establishing a causal relationship identifier based on time sequence and correlation characteristics, obtaining a causal graph, calculating an abnormal propagation probability, and marking a risk area; performing information mapping to generate monitoring data flow and extract features; calculating feature correlation and mapping into a scene semantic segmentation graph; and rendering to obtain a visual three-dimensional dynamic construction progress in combination with risk area and progress information. The application realizes risk early warning and progress visualization monitoring of the construction process.

The application belongs to the technical field of biological control of agriculture, and particularly relates to a DNA pesticide as well as a preparation method and application thereof. The application provides a DNA pesticide, which comprises a nano-carrier and a genome of a fungal virus; the fungal virus is a plant pathogenic fungal virus, and can cause pathogenicity decline of a host fungus. The application uses the nano-carrier to load the genomic DNA of the fungal virus, so as to deliver the genomic DNA of the fungal virus to a plant pathogenic fungus, make the genomic DNA of the fungal virus replicate, transcribe and translate in the plant pathogenic fungus, and form a mature virus, thereby causing pathogenicity decline of the plant pathogenic fungus, and achieving the prevention and treatment of fungal diseases.

The invention relates to the technical field of rapeseed oil sterilization, in particular to a rapeseed oil closed-loop sterilization method based on thermal radiation and vapor permeation, and the method comprises the following steps: preheating rapeseed oil, conveying the rapeseed oil to a deodorization tower, and obtaining infrared thermal imaging data, a viscosity data sequence and a temperature data sequence; determining whether the preheating treatment is qualified based on the preheating coefficient; in response to the pre-heat treatment being qualified, determining a degassing strategy based on the viscosity deviation ratio; a degassing strategy is executed, and whether degassing treatment reaches the standard or not is determined based on the moisture content and the dissolved oxygen content after degassing; in response to the degassing treatment reaching the standard, performing steam stripping treatment on the rapeseed oil and determining whether the bubble state generated by the steam is qualified or not based on the sound pressure fluctuation ratio; and reducing the steam flow in response to the unqualified bubble state, determining whether the temperature of the rapeseed oil is reduced or not based on the sound pressure fluctuation rate slope, and performing gradient cooling and filtering treatment on the rapeseed oil subjected to steam stripping treatment under vacuum protection to obtain treated rapeseed oil. The quality of the rapeseed oil is improved.

The application discloses a kind of precision determination methods of coal column coal spontaneous combustion position, it is related to coal mine safety technical field.The method is first to the surface deformation of coal column, broken state monitoring, determine possible risk section of air leakage fracture or coal spontaneous combustion;Then using section air leakage detection mode, determine whether the risk section of coal column has formed air leakage fracture and determine corresponding air leakage fracture position and air leakage speed;Finally in the section that it is judged to exist air leakage fracture, the temperature measuring point is arranged to measure temperature and gas concentration monitoring mode measures the high temperature risk position of coal spontaneous combustion that exists in coal column and its migration trend with roadway excavation or stoping.The present application combines a variety of detection techniques to predict and determine the air leakage fracture and high temperature risk position of coal spontaneous combustion of coal column during excavation and working face stoping from multiple different dimensions, which can further improve the safety of excavation and production under the arrangement mode of coal column gob-side entry driving, and plays an important role for mines using the arrangement mode of coal column gob-side entry driving.