24results about How to "Precise prevention and control" patented technology

The invention relates to the technical field of agricultural intelligent detection, in particular to a fruit tree disease and pest detection method based on machine vision, which comprises the following steps: acquiring visible light, infrared light and ultraviolet light images of a fruit tree at multiple angles through a multispectral camera to obtain complete fruit tree surface information, and preprocessing the acquired images to obtain a fruit tree disease and pest detection result; comprising the steps of denoising, illumination correction and image alignment, extracting feature vectors, including the color, shape and size of scabs, pest distribution and other features, of pest and disease damage from preprocessed images through a convolutional neural network, fusing the pest and disease damage features with environmental data by using a multi-modal data fusion algorithm, and enhancing the accuracy of pest and disease damage classification. Classifying and identifying diseases and pests based on a support vector machine classification algorithm; according to the dynamically adjusted threshold value and suggestions provided by the expert system, a disease and pest diagnosis report is generated, and prevention and control measure suggestions are provided; according to the invention, efficient and accurate detection and management of fruit tree diseases and insect pests can be realized, and the intelligent level of agricultural management is improved.

The invention discloses a crack control method for tunnel molded lining concrete. The crack control method comprises the following steps that a temperature stress simulation finite element calculation model is established according to the size of a tunnel lining structure; analyzing lining concrete cracking risk coefficients corresponding to different working condition parameter optimization combinations through a temperature stress simulation finite element calculation model; the anti-crack concrete is prepared by uniformly mixing and stirring the hydration temperature rise inhibitor, the calcium-magnesium composite expanding agent, the mineral admixture, the cement, the gravel and the water according to a certain proportion. After construction of the tunnel inverted arch and the inverted arch filling layer is completed, the mold entering temperature in the working condition parameters is adjusted and controlled, and the prepared anti-crack concrete is poured on the inverted arch at a time to form a lining concrete layer; and after anti-crack concrete pouring is completed, formwork removal and moisturizing maintenance after formwork removal are conducted according to the formwork removal time representing the formwork removal maintenance technology and the parameter requirements for maintenance after formwork removal.

The invention relates to a landslide slippage trend prediction method and device, a storage medium and electronic equipment, and relates to the technical field of opencast coal mine landslide prevention and control, and the method comprises the steps: firstly, determining a potential landslide region through the exploration and monitoring of a working side slope of an opencast coal mine; analyzing the stability state of the landslide according to the engineering geological conditions of the landslide area; and then predicting the slip trend of the landslide based on the stability state of the landslide and the influence of engineering disturbance on the landslide. According to the technical scheme, on the basis of investigation and monitoring of the open-pit coal mine working side slope, the engineering disturbance condition is comprehensively considered on the basis of the stability state of the landslide, the slippage trend of the landslide can be accurately predicted, the open-pit coal mine working side slope can be accurately monitored, prevented and controlled, the stability of the side slope is improved, and the stability of the landslide is improved. The risk of landslide is reduced, and safe production of the open-pit coal mine is guaranteed.

According to the big data-based debris flow disaster-pregnancy condition analysis method and system provided by the invention, the debris flow potential description event information set in the current debris flow hidden danger element information is obtained through analysis according to the important attribute of the important description content of each debris flow gully object in the hidden danger point directory data; and carrying out anomaly analysis on the debris flow potential description event information set of the current debris flow hidden danger factor information and the debris flow potential description event information set of the previous group of debris flow hidden danger factor information of the current debris flow hidden danger factor information, and determining a debris flow disaster-pregnant condition analysis set of the current debris flow hidden danger factor information. Therefore, the debris flow disaster-gestational condition analysis set of the current debris flow hidden danger element information can be accurately positioned, so that the debris flow disaster-gestational condition analysis set can be subsequently utilized to perform efficient analysis, each hidden danger can be accurately prevented and treated, and the possibility of debris flow occurrence is reduced.

The application discloses a potato disease and pest treatment device and a use method thereof in the technical field of disease and pest treatment, which comprises a treatment total site and multiple disease and pest control points uniformly arranged in a potato planting area, and the treatment total site is connected with the multiple disease and pest control points through conveying pipelines; the disease and pest control point is provided with a base and a liquid storage tank fixed to the top of the base, and the top of the liquid storage tank is connected with a liquid conveying mechanism; the top of the base is provided with a lifting mechanism, the lifting mechanism is connected with a rotating driving mechanism, and the outer side of the rotating driving mechanism is uniformly connected with multiple rotating pesticide spraying mechanisms in the circumferential direction; the multiple disease and pest control points are uniformly arranged to realize wide coverage, and the linkage design of the lifting mechanism and the rotating pesticide spraying mechanism can realize layered 360-degree annular pesticide spraying on different heights of potato plants; after pesticide spraying, the rotating pesticide spraying mechanism can be folded back to the original position, the space occupation is reduced, and the uniformity of pesticide spraying and the control effect are effectively improved.

The invention relates to the technical field of agricultural plant protection, in particular to a biological control and management method for asparagus diseases and insect pests, which comprises the following steps: S1, soil pretreatment and construction of a beneficial microorganism matrix; s2, pest population dynamic monitoring and natural enemy release; s3, application of the botanical attractant; s4, field application of the biocontrol inoculant; s5, ecological weeding management: in the growth period, controlling the height of worst weeds and keeping low flowering weeds at the same time; s6, harvesting period management: tools are disinfected during harvesting, tender stems are smoothly cut by a special harvesting knife, and residual and broken tender stems are cleaned in time; wherein the steps S1 to S6 form a complete management period and need to be circularly and repeatedly implemented, and the steps S2 to S5 are dynamically executed according to field monitoring conditions. The growth of asparagus root systems is effectively promoted through measures such as a compound microbial agent and ecological weeding management, and adverse effects on asparagus growth are reduced by controlling weeds and plant diseases and insect pests.

The present application provides a marker for detecting the risk of dental caries and its use. The present application provides two salivary protein markers, keratin 3 (KRT3) and mucin 21 (MUC21), which are closely associated with the risk of dental caries. The markers of the present application can be used to detect the risk of dental caries non-invasively and inexpensively, thereby achieving accurate prevention and control of dental caries, and ultimately achieving the goal of reducing the incidence of dental caries, especially the incidence of dental caries in young children.

The invention relates to the technical field of crop disease prevention and treatment, in particular to a composition for preventing and treating crop soil-borne diseases and a preparation method thereof.The preparation method comprises the steps that strains are subjected to activation culture and fermentation culture respectively, and a microbial agent mixed solution is obtained; performing high-temperature carbonization on corn straws to obtain biochar, and adding the biochar into the fungicide mixed solution to obtain biochar powder adsorbed and fixed with strains; uniformly mixing biochar powder with a polyvinyl alcohol solution to obtain a strain suspension; dropwise adding the strain suspension into a calcium chloride solution to obtain biochar-based composite strain microspheres; preparing a chitosan / poly (N-isopropylacrylamide) solution, judging whether the preparation of the mixed solution meets a preset standard or not according to a light transmittance difference value of the mixed solution, and transferring the biochar-based composite strain microspheres into the chitosan / poly (N-isopropylacrylamide) solution for coating to obtain the temperature-sensitive composite microbial agent microspheres. The environmental adaptability of the composition for preventing and treating the soil-borne diseases of the crops is improved.

The present invention provides a strain of Bacillus subtilis for preventing and controlling tobacco anthrax and its application, which belongs to the technical field of microbial technology and tobacco disease control. The Bacillus subtilis is named K11, which has been deposited in the China Center for Type Culture Collection on March 26, 2021, with a deposit number of CCTCC NO: M 2021284. The bacterial agent prepared by the Bacillus subtilis K11 is used in the prevention and control technology of tobacco anthrax, which can reduce the amount of chemical pesticides by at least 52.8%; 75 days after tobacco transplanting, the prevention and control effect of the present invention on tobacco anthrax is at least 50.00% higher than that of conventional prevention and control measures; 100 days after tobacco transplanting, the prevention and control effect of the present invention on tobacco anthrax is at least 59.49% higher than that of conventional prevention and control measures.

The utility model discloses active induction automatic alarm remote automatic killing device, including base, metal porous box, bionic inner bag, medicine spraying sleeve, solar panel and internal circuit module. Base bottom is equipped with metal conductive ring and is pasted with metal porous box, and its inside has battery, circuit board and first relay module, and bionic inner bag is equipped with composite decoy and infrared, pressure sensor, and is connected with the medicine spraying sleeve of micro -pump and electromagnetic valve, and solar panel is connected with base through connecting line, and is equipped with annular slide and slide rail that can be adjusted manually. Through above -mentioned structure, the device utilizes composite decoy and heating device active induction termite, and after sensor triggers alarm, transmits signal to control center through wireless module, and then links medicine spraying and electric shock, high temperature device killing, and solar power supply guarantees operation, realizes termite efficient active induction, automatic alarm, remote linkage and accurate killing.

The invention relates to the technical field of video monitoring, in particular to a video monitoring system and device based on AI analysis and a storage medium, and the method comprises the steps: obtaining user related information in response to a detected trigger operation for a login control on a login page on a system control panel; in response to determining that the user-related information is found in a user information database, entering a user background corresponding to the user-related information; in response to the detected triggering operation for the determined control on the background of the user, obtaining search information input on the background of the user; searching the target video in the video database based on the search information, and displaying the video index corresponding to the target video on the user background display page, so that an advanced AI algorithm is adopted, targets and behaviors in a monitoring picture can be accurately identified and analyzed in a complex environment, the reliability of a monitoring system is improved, and the user experience is improved. Multiple intelligent applications are integrated, accurate prevention and control can be achieved, and the security level is improved.

The invention relates to the technical field of medical information, in particular to a data supervision method and system for medical information management. The invention discloses a data supervision method for medical information management. The method comprises the following steps: S1, obtaining portable probe data and probe related bed data; s2, performing medical staff training judgment according to the virtual human body route use sequence and the actual human body route use sequence of the portable probe; s3, according to the probe type use sequence, calculating to obtain probe use entropies of the beds and sharing indexes among the beds; and S4, according to the difference points, the cross-personnel difference points and the to-be-detected bed sets, performing sequence position analysis on probe types in each to-be-detected bed set by using a sequence. According to the method, two core indexes including the probe use entropy and the bed sharing index are creatively provided, and the probe use entropy can sensitively capture the disorder degree of use of a single-bed probe.

This invention discloses an anti-Dabie Banda virus Gn protein nanobody, a bispecific antibody, and their applications, belonging to the field of biodetection technology. This invention constructs an alpaca natural nanobody library, using recombinantly expressed Gn protein as the antigen. Through multiple rounds of gradient screening using phage display technology, three nanobodies—G15, G20, and G40—that specifically bind to the Dabie Banda virus Gn protein are obtained. All three antibodies exhibit excellent antigen-binding specificity and virus-neutralizing activity; among them, G40 shows the most prominent neutralizing effect. The bispecific antibody G40-C1q, constructed based on G40, combines Gn protein and human C1q protein, achieving a synergistic effect of antiviral activity and inhibition of inflammatory damage. It can be used for the development of drugs for the prevention and treatment of Dabie Banda virus infection and for high-specificity detection reagents, providing candidate antibody drugs for the treatment of fever with thrombocytopenia syndrome, and providing a reliable tool for virus-related research, disease diagnosis, and clinical translation.

The application discloses a kind of compositions for protecting egg of green lacewing natural enemy insects and application, it is related to agricultural technology field.The composition is by following weight fraction component composition: p-umbelliferone 1-35 parts, ascaridol 1-35 parts, eucalyptol 0.5-10 parts, alpha-pinene 0.5-10 parts, methyl benzoate 0.5-10 parts.The application prospect of the composition for protecting egg of green lacewing natural enemy insects is wide, and preparation method is simple, in the actual application in field, can large-scale utilize green lacewing to control pests, especially for the most, the most widely distributed, the most miscellaneous, the most serious thrips pests effect is good, economic, social and ecological benefits are remarkable.

The invention discloses a preparation method of nano-metal drug-loaded particles for seed treatment and application of the nano-metal drug-loaded particles in prevention and control of rice diseases and insect pests. According to the invention, the nano-carrier is prepared from the organic metal framework and is loaded with the pesticide, and the tannic acid metal complex shell is assembled, so that targeted controlled release of the pesticide can be carried out at harmful organism hazard parts, and mass propagation of pathogenic bacteria under an acidic condition and harm of pests are effectively coped with. The nano-metal drug-loaded particles show an excellent targeted pest control effect, the effective utilization rate of pesticide active ingredients is increased, the lasting period is prolonged, germination of rice seeds and growth of rice seedlings are promoted, and the nano-metal drug-loaded particles are particularly suitable for improving the quality of the rice seedlings in direct seeding cultivation of the rice and have a wide rice seed treatment application prospect.

This invention provides an integrated airflow-type high-intensity sound source, relating to the field of sound wave transducer equipment. It includes a motor, with one end of the motor shaft connected to an air pump and the other end connected to a sound source rotor via a reducer. The sound source rotor is rotatably mounted within a sound source stator, which has a sound source port. The sound source rotor has a hollow cavity, and the air pump outlet is connected to the cavity of the sound source rotor via an air guide pipe. Multiple frequency modulation ports are located on the outer wall of the sound source rotor, intermittently aligned with the sound source port. The sound source port is connected to an emitter with a horn-shaped nozzle. When the frequency modulation port is aligned with the sound source port, sound is emitted. Through the deep coupling design of the air compression mechanism and the acoustic modulation structure, the performance bottleneck of traditional high-intensity sound wave generators is overcome, demonstrating irreplaceable technical advantages in the field of acoustic applications. In the field of meteorological intervention, it can successfully output low-frequency sound waves of 30-100Hz, enabling meteorological intervention applications such as artificial rain enhancement and fog dispersal.

This invention discloses a fertilizer with antibacterial function, its preparation method, and its application, including functional microbial agents, intelligent responsive composite carriers, essential plant nutrients, and microbial agent protectants and activators; wherein, the functional microbial agents include Bacillus subtilis, Bacillus mucilaginosus, Streptomyces jingyangensis, and Trichoderma harzianum; by carefully selecting Bacillus subtilis, Bacillus mucilaginosus, Streptomyces jingyangensis, and Trichoderma harzianum, not only is the antibacterial spectrum complementary, but also a synergistic effect is generated through the cross-induction of metabolites and niche complementarity, resulting in stable field control efficacy.

The forest pest control unmanned aerial vehicle comprises unmanned aerial vehicle equipment, fixing seats are symmetrically and fixedly connected to the bottom of the unmanned aerial vehicle equipment, mounting mechanisms are arranged on the sides, close to the fixing seats, of the bottom of the unmanned aerial vehicle equipment, and pesticide storage boxes are connected to the inner sides of the mounting mechanisms in a clamped mode; a mounting base is fixedly connected to the bottom of the pesticide storage box, a liquid separator is fixedly connected to the bottom of the mounting base, an adjusting control mechanism is arranged at the bottom of the liquid separator, and a connecting plate is fixedly connected to the bottom of the adjusting control mechanism. A sliding seat at one end of an installation mechanism is clamped into clamping grooves symmetrically formed in an installation base in a clamping connection mode, during clamping connection, clamping blocks are subjected to the effect of external force, clamping teeth and clamping tooth installation plates are subjected to extrusion force from the clamping blocks while the clamping blocks move in the clamping grooves, and the clamping teeth and the clamping tooth installation plates start to move towards the opposite faces.

This invention discloses a system access control method, apparatus, and electronic device. The method includes: acquiring real-time behavior data generated when a target user performs a current access action on a target system; monitoring abnormal operations of the current access action based on the real-time behavior data and the target user's behavior data entropy increase baseline; determining the abnormal risk level of the abnormal operation based on the real-time behavior data when an abnormal operation is detected; and controlling the current access action based on the abnormal risk level. This invention can improve the detection rate of attack operations and accurately prevent and control attack operations.

The invention discloses an image processing-based in-situ coal body permeability distribution characteristic prediction method, which comprises the following steps of: drilling an in-situ coal body in front of an excavation working face by using a drilling technology and adopting a horizontal drilling operation mode, obtaining a coal body sample, and performing micro-disturbance cutting on the sample, a digital core CT image module is used for completing coal body sample cutting section image scanning to obtain a two-dimensional image set, an image parameter calculation module is used for achieving original image binarization conversion and particle diameter, pore tortuosity and surface porosity parameter calculation, and parameter data sets are transmitted to a permeability area identification module; and completing in-situ coal body permeability calculation based on the image parameter data set and identification and division of a low-permeability development area. On the basis, an image processing technology is introduced to be combined with a coal body permeability calculation theory so as to accurately describe in-situ complex coal body permeability distribution characteristics, and then accurate identification of the in-situ coal body gas low-permeability area is achieved.

The present application relates to a kind of protein markers for diagnosing postmenopausal osteoporosis and its application, belong to biological medicine technical field.The present application is screened, and it is found that NADH dehydrogenase 1 beta subcomplex subunit 4, NADH dehydrogenase 1 beta subcomplex subunit 5, NADH dehydrogenase 1 beta subcomplex subunit 6, NADH dehydrogenase 1, NADH dehydrogenase 1 alpha subcomplex subunit 8, cytochrome c oxidase subunit 7C, cytochrome c oxidase subunit 5A and cytochrome c oxidase subunit 7A2 can be used alone or in combination in the diagnosis test of postmenopausal osteoporosis, to accurately evaluate the PMOP state of subject.Further, the combination of NDUB5 and NDUA8 two protein markers shows excellent diagnostic sensitivity and specificity, which is helpful for early diagnosis of PMOP, screening of high-risk population of fracture and precise prevention and treatment.

The utility model discloses a green disease and pest grass prevention and control device for wheat planting, which comprises a mounting device, a bottom box, a side door, a collecting box, an electric control center, a transmission belt, a cleaning device, a drying device, an insect trapping device, a funnel and a photovoltaic panel, the bottom box is arranged on the mounting device, the side door is arranged in the side wall of the bottom box, and the collecting box is arranged in the bottom box. The collecting box is arranged in the bottom box and located at the side door, the electric control center is arranged on the bottom box, the transmission belt is located in the bottom box, the cleaning device is arranged at the lower end of the transmission belt and located above the collecting box, the drying device is arranged in the bottom box and wraps the transmission belt, and the insect trapping device is arranged at the upper end of the bottom box. The funnel is arranged above the transmission belt and located below the insect luring device, and the photovoltaic panel is arranged at the upper end of the insect luring device. The utility model belongs to the technical field of disease and pest prevention and control, and particularly relates to a disease and pest grass green prevention and control device for wheat planting. The disease and pest grass green prevention and control device can dry killed diseases and pests and timely know the types of the diseases and pests so as to accurately apply pesticide.

The invention relates to a safety system of a hydrogen fuel cell test room and a use method, and belongs to the technical field of test room safety protection, the safety system of the hydrogen fuel cell test room comprises a test room system, the test room system comprises a control area, a hydrogen storage area and an equipment test area, the safety prevention and control system is used for safety detection and protection of a real test room system and comprises a detection system and a protection system. The detection system, the alarm system and the protection system can be arranged in the laboratory system, so that detection, alarm and prevention and control can be performed on corresponding positions according to actual states when hydrogen leakage or hydrogen abnormal states occur at any position of the hydrogen storage area, the equipment test area and the hydrogen supply pipeline; therefore, the safety system can perform grading control and more accurately judge the hydrogen state of each position, abnormal areas can be accurately prevented and controlled, economic losses caused when safety risks occur are reduced, and the test efficiency is improved.

The present application relates to water and soil simulation analysis technical field, specifically relates to a kind of slope infiltration and stability analysis method, medium and equipment under double rainfall algorithm, method includes the following steps: with saturated moisture content, initial moisture content and groundwater depth to describe water-holding property parameter A;Introduce water-holding property parameter A, deduce the empirical formula of soil moisture content, obtain the slope moisture content distribution model after rainfall;Rainfall process is divided into two stages of complete infiltration and incomplete infiltration, obtain the segmented expression of rainfall infiltration rate;According to the law of conservation of rainfall, the change relationship of wetting front depth with rainfall time is derived;According to the change relationship of wetting front depth with rainfall time, the safety factor of slope at a certain rainfall moment is calculated.The present application realizes the high-precision simulation of slope instability process induced by heavy rainfall by introducing water-holding property parameter fitting soil moisture content formula, rainfall segmented infiltration analysis, double rainfall calculation method, so as to carry out slope disaster early warning.