761results about How to "Easy to solve" patented technology

The invention relates to the technical field of landslide motion simulation, in particular to a landslide motion simulation method based on a motion model. The method comprises the following steps: acquiring data of a target landslide area; generating complete topographic feature data through landform identification and difference complementation; performing topographic analysis on the data; identifying a landslide-prone area, constructing a three-dimensional model, judging a critical state, performing risk weight calculation, and generating a probability distribution set of the landslide-prone area; performing path analysis to obtain an initial motion track and a probability prediction model thereof, constructing a three-dimensional dynamic simulation scene, performing iterative analysis, finally generating a landslide motion simulation result, and establishing a dynamic risk early warning and emergency response model to improve the prevention and control capability of landslide disasters. According to the invention, a more accurate and more reliable landslide motion simulation method is realized.

The invention provides a drought monitoring method and system based on ground feature detection, and relates to the technical field of ground feature detection, and the method comprises the steps: calling geological distribution data of a target monitoring region, carrying out the preliminary division, and obtaining a plurality of initial divided grid regions; performing sensor layout to obtain a plurality of sensor layout arrays; connecting a satellite remote sensing platform to a preset detection window to obtain a plurality of remote sensing images; collecting ground feature data to obtain a plurality of ground feature data sets; secondary similar aggregation is carried out, and a plurality of aggregation division grid region sets are determined; and determining a plurality of first monitoring bandwidths and a plurality of second monitoring bandwidths, and constructing a plurality of first monitoring channels and a plurality of second monitoring channels of the drought monitor for drought monitoring. The technical problems that a drought monitoring method in the prior art generally depends on a static monitoring strategy, and the monitoring strategy cannot be automatically adjusted according to the real-time state of drought change, so that the monitoring efficiency is low, and the accuracy is poor are solved.

The invention relates to the technical field of health monitoring, in particular to a health monitoring system based on wearable equipment, which comprises a data acquisition module, a health data analysis module, an emotion and sound analysis module and a health prediction feedback module. According to the health monitoring system, the prediction accuracy of the health monitoring system is effectively improved by combining time sequence analysis with a processing strategy of environmental factors, and more accurate health condition early warning, disease prevention and management strategy optimization and emotion and sound analysis integration are provided by comprehensively analyzing long-term health data and real-time environmental changes of the user, so that the user experience is improved. The emotion change is clarified through acoustic feature analysis, the understanding of the emotion state of the user is improved, the health monitoring dimension is enhanced, the participation degree and satisfaction degree of the user are improved through personalized health suggestion and real-time feedback, the practicability and effectiveness of the system are enhanced, and health management is more accurate and has interactivity.

The invention relates to the technical field of obstacle avoidance early warning, in particular to an obstacle avoidance early warning method and system for a robot. The method comprises the following steps: acquiring motion data and moving target point data of a robot; robot motion mode classification is conducted on the robot motion data, and a robot motion mode and a robot static mode are generated; performing environment detection on the moving target point data by using a built-in laser radar of the robot according to the static mode to obtain standard static environment detection data; and planning the path according to the standard static environment detection data, and generating initial running path planning data of the robot. According to the invention, the obstacle avoidance early warning precision and real-time performance of the robot in a complex environment are improved by accurately distinguishing static and dynamic objects, reconstructing the motion trail and planning and adjusting the path.

The invention provides a composition for improving bone joint health as well as a preparation method and application thereof, and relates to the technical field of bone joint health products. The composition for improving bone joint health is prepared from the following components in parts by mass: 0.5 to 5 parts of collagen peptide, 5 to 30 parts of mangosteen extract, 0.5 to 3 parts of non-denatured II type collagen peptide, 0.1 to 2 parts of milk mineral salt, 0.3 to 3 parts of bone collagen peptide, 0.1 to 2 parts of cartilage extract, 0.1 to 2 parts of N-acetylglucosamine, 0.1 to 2 parts of sodium hyaluronate and 0.3 to 3 parts of turmeric extract. The composition obtained by repeatedly compounding the mangosteen extract, the turmeric extract, the cartilage extract and the sodium hyaluronate has the advantages of low cost and high safety, and has a better effect on preventing or improving osteoarthrosis.

The invention provides a low-cost preparation method of high-performance titanium-doped iron phosphate, and relates to the technical field of batteries. The low-cost preparation method comprises the following steps: S1, respectively preparing a phosphoric acid solution, a hydrogen peroxide solution, a phosphorus salt solution and a ferrite solution; s2, adding titanium sulfate into the ferrite solution to obtain an iron-titanium mixed solution; s3, directly adding ammonia water and a hydrogen peroxide solution into the phosphorus salt solution to obtain a phosphorus-oxygen mixed solution; s4, the iron-titanium mixed solution is heated, the phosphorus-oxygen mixed solution is put into the iron-titanium mixed solution, and slurry A is obtained; s5, obtaining a filter cake A; s6, adding pure water and a phosphoric acid solution, and heating to obtain slurry B; s7, obtaining anhydrous iron phosphate; the synthesized iron phosphate is compact and compact in morphology, internal pore channels of primary particles are still rich, the compaction density of the lithium iron phosphate material obtained through grinding and sintering reaches 2.613 g / cc, the 0.1 C discharge capacity can still reach 156.35 mAh / g, and the 1C discharge capacity reaches 131.47 mAh / g.

The invention discloses an appearance detection system, and belongs to the field of appearance detection, the appearance detection system comprises at least one first transfer device which is arranged side by side along a first horizontal direction and comprises a first turnover mechanism and a first transfer module, the first turnover mechanism comprises a first carrier for accommodating workpieces, and the first transfer module comprises a second carrier for accommodating workpieces; the multiple first carriers are arranged side by side in the second horizontal direction. The detection device comprises first detection cameras in one-to-one correspondence with the first transfer devices; the feeding device is used for feeding the workpieces; the discharging device is used for receiving workpieces; the first carrying device is used for transferring the workpieces on the feeding device to the first transferring device; the second carrying device is used for transferring the detected workpieces to the discharging device; the first carriers are suitable for sequentially flowing through the corresponding first detection cameras in the second horizontal direction under driving of the first transfer module. By the adoption of the structure, the automation degree is high, and the number of workpieces detected at a time can be increased while the cost is controlled.

The invention provides an improved subtraction optimizer algorithm-based power distribution network fault section positioning method considering distributed power supply dynamic switching, and belongs to the field of intelligent power distribution network fault diagnosis. The model can effectively deal with the influence of dynamic switching of the DG on the system, and makes up for the defects of a traditional single-power network model. Secondly, in order to solve the positioning model, a multi-strategy fusion improved method is adopted for an original algorithm, and a subtraction optimizer algorithm (ISABO) with excellent solving performance and de-trapping capability is obtained; and finally, the improved ISABO algorithm is applied to a 33-node power distribution network test system, so that the 33-node power distribution network test system operates in various designed complex fault working conditions. Analog simulation shows that the ISABO algorithm has feasibility in the fault positioning problem and can adapt to the on-off state of an interconnection switch and dynamic switching of a plurality of DGs; compared with an original SABO algorithm, the method has the advantages that the positioning precision can be always kept 100%, the positioning speed is also remarkably improved, and good search speed, positioning accuracy and fault tolerance are shown.

The invention relates to the technical field of servers, and discloses a workflow instance starting method, device and equipment and a service system. The method comprises the following steps: starting and sending an approval service request to a message queue, wherein the approval process is at least the same as the approval process of a second service; monitoring a response message fed back by the workflow service in real time in the message queue according to a preset association relationship, the preset association relationship including a corresponding relationship between each type of service and a theme; and when a target response message corresponding to the approval service request is monitored, analyzing the target response message, determining that the workflow instance corresponding to the approval service request is successfully started according to the content in the target response message, and executing the approval operation of each node in the workflow instance according to the workflow instance. According to the method, the starting of the approval process is more accurate and efficient. Moreover, the code change of one party does not affect the code of the other party, so that the code processing time is shortened, and the workflow instance starting and approval efficiency is improved.

The invention relates to the technical field of diabetes, in particular to a diabetes risk prediction model based on a multi-mode large model. The system comprises a multi-data fusion acquisition unit, a model construction selection unit and a user classification unit. According to gene detection and family history data, different models are allocated to predict the diabetes risk, it is ensured that the prediction result is closer to the actual situation of an individual, the family history data are combined, the individual risk can be evaluated more comprehensively, targeted health management suggestions are provided for family members, the family data are integrated into the models, and the risk of diabetes is predicted. The method is beneficial for discovering a family genetic mode and improving the prediction accuracy, and can improve the prediction accuracy through family history data even if no gene signal exists, so that the existing information is fully utilized.

The invention relates to a pipe pile grouting expanded head pile forming process special for a prestressed concrete water jet cutter and a pipe, and belongs to the field of pipe pile construction. The large-head concrete block is integrally connected with the lower end of the tubular pile body and is in an irregular shape, the tubular pile body sequentially comprises a pile cap, a plurality of pipe joints and an inverted-cone-shaped pile head from top to bottom, the tubular pile body is provided with at least one high-pressure water or cement paste channel in the axial direction of the tubular pile body, and the pile head is provided with a material water hole communicated with the high-pressure water or cement paste channel. During construction, even if a special stratum is encountered, the hard stratum is impacted through the high-pressure water jet cutter, and static pressure or hammering is matched, so that the problem that an existing pipe pile is difficult to descend is solved. When the designed elevation is reached, guniting is carried out through high-pressure water or a cement paste channel in the pipe pile body, and a sphere-like expanded head is formed at the bottom of the pipe pile; the bearing capacity of a single pile can be improved, settlement of the pile body is limited, local displacement of the pile body is eliminated, and the anti-floating effect of the pile body is achieved.

The invention provides a sparse representation-based low-bit-rate video coding method, which comprises the following steps of: after a coding end acquires an input video, carrying out frame segmentation sampling on the input video to obtain a video frame sequence, and carrying out block segmentation on elements in the video frame sequence to obtain an image block sequence; processing elements in the image block sequence based on a dictionary learning algorithm and a sparse representation algorithm of gradient sparsity to obtain a sparse representation coefficient; sequentially performing quantization processing and entropy coding processing on the sparse representation system to obtain a compressed bit stream, and storing and transmitting the compressed bit stream; obtaining a compressed bit stream, and sequentially performing entropy decoding processing and inverse quantization processing on the bit stream to obtain an original sparse representation coefficient; processing the original sparse representation coefficient based on a dictionary learning algorithm and a sparse decoding algorithm of gradient sparsity to obtain a reconstructed image block; merging the plurality of reconstructed image blocks to obtain a reconstructed video frame; and carrying out frame combination on the plurality of reconstructed video frames to obtain a reconstructed input video.

The invention discloses a foam iron-nickel surface in-situ growth platinum modified nickel-iron layered double hydroxide bifunctional material and a preparation method and application thereof.The preparation method comprises the steps that a foam iron-nickel substrate is immersed in an acid solution containing chloroplatinic acid, heating treatment is conducted for a certain period of time, and then the nickel-iron layered double hydroxide bifunctional material is obtained; and a nickel-iron layered double-metal hydroxide mixed material modified by platinum nanoparticles grows on the surface of the foam iron-nickel in situ. In the preparation process of the one-step method, nickel ions or / and iron ion salts and sacrificial agents do not need to be additionally added, atom economy is good, reaction conditions are mild, energy consumption is low, and meanwhile the problem that the catalyst is prone to falling off due to multiple times of operation and washing is solved. The platinum / ferronickel layered bimetal hydroxide / foam iron nickel electrode prepared by the method shows excellent hydrogen production and oxygen production activity in an alkaline water electrolysis reaction.

The invention provides a hovering type wireless charging control method for an electric power inspection unmanned aerial vehicle, and belongs to the technical field of unmanned aerial vehicles. According to the technical scheme, firstly, modeling is conducted on a multi-transmitting-stage magnetic coupling type wireless electric energy transmission system, then directional constant-voltage output parameters of a wireless charging system in a coil offset state are determined, and control parameters of the wireless electric energy transmission system of the unmanned aerial vehicle are determined; on the basis, modeling is carried out for unmanned aerial vehicle power inspection power consumption and the charge state, and multi-source disturbance suppression parameters of the unmanned aerial vehicle and attitude track full-time-domain preset time control parameters of the unmanned aerial vehicle are determined. According to the method, a multi-transmitting-stage MCR-WPT system is adopted, a directional constant voltage output model is constructed, meanwhile, a charging system control strategy is optimized, and a wireless charging scheme based on an LCC-S type compensation network is designed. According to the invention, the transmission efficiency and stability of the wireless charging system of the electric power inspection unmanned aerial vehicle are improved, and the hovering wireless charging control precision of the electric power inspection unmanned aerial vehicle is improved.

The invention relates to a tension distribution modeling method considering friction and preload, belongs to the technical field of pulley and cable friction, and effectively solves the challenges of tension prediction and estimation in a complex pulley-cable system by establishing a node element tension distribution model. The comprehensive analysis comprises tension transmission loss, and dynamic sliding and rolling friction from a Lugre model are combined. The comparative simulation reveals the influence of different friction effects. Experimental verification carried out by using a rolling joint platform proves the accuracy of the model in predicting the tension in a cable and the force on a pulley node in a complex pulley system. The model provides a robust frame for analyzing and designing a cable-driven structure, and is of great significance to cable safety and real-time tension monitoring and prediction. Not only are the modeling speed and quality improved, but also a powerful tool is provided for real-time monitoring and prediction evaluation of the safety of a cable system.

The invention relates to building structure monitoring, in particular to a monitoring device for health of a large-span building structure and an Internet of Things system. Which comprises an unmanned aerial vehicle and a monitoring server, and is characterized by further comprising a passive sensor and a reading transmission module, and the passive sensor is used for collecting state information of a building structure and wirelessly uploading the state information to the reading transmission module; the reading transmission module wirelessly uploads the state information of the building structure to the monitoring server. According to the invention, the RFID is combined with the sensor, so that the wiring work is omitted, and the workload of implementation and maintenance is greatly reduced; data are obtained through automatic cruise of the unmanned aerial vehicle, labor is saved, and punctual data are obtained; the Internet of Things is further wireless, the sensor at the tail end supplies power and obtains data in an RFID wireless mode, the most tedious wiring work is omitted, and arrangement and compensation of the Internet of Things sensors are facilitated.

The invention relates to the technical field of crack detection, in particular to an intelligent detection system for house outer wall cracks, which comprises an optical frequency comb scanning module, a polarized light scattering analysis module, a holographic imaging refining module and a data integration and alarm module. According to the invention, the optical pulse emitted by the laser source is accurately controlled, high-precision scanning is carried out on the outer wall of the house, and the data acquisition precision is optimized, so that the spatial position information is captured more accurately, and the roughness and structure change information of the crack surface is extracted according to the polarization state change of the light through the measurement of the polarized light. The three-dimensional form of the crack is recovered by utilizing a holographic imaging technology, a detailed three-dimensional view of the crack is provided, and the crack change can be monitored in real time through comprehensive processing of data and setting of a warning threshold, so that the response speed and the processing efficiency of crack monitoring are remarkably improved, and the human intervention requirement is reduced; and the capability of preventing and dealing with crack propagation is improved.

The invention discloses a drilling parameter optimization method and device and a storage medium, and relates to the technical field of parameter optimization, and the key points of the technical scheme are that the method comprises the following steps: establishing a drilling specific energy difference model and a mechanical drilling speed model; the drilling specific energy difference value is the difference value between the energy required for removing unit volume of rock and the pressure resistance degree of the rock lateral line; constraint conditions of the drilling parameters are determined, and a multi-objective optimization model is constructed according to the constraint conditions, the drilling specific energy difference model and the mechanical drilling speed model; and according to the multi-objective optimization model, well drilling parameters are optimized in real time, the optimal well drilling parameters of well drilling operation are determined, and the well drilling parameters of the well drilling operation are adjusted according to the optimal well drilling parameters. Through the optimization method, the multi-target optimization model can be formed by combining the mechanical drilling speed model and the drilling specific energy difference model, so that drilling parameters such as drilling pressure and rotating speed are realized under constraint conditions, optimization of the drilling parameters is realized, the drilling efficiency is improved, and the drilling cost is reduced.

The invention discloses a preset time encircling control method for privacy protection under an event trigger mechanism. The method comprises the following steps: firstly, establishing a multi-robot system comprising a plurality of leaders and a plurality of followers, and defining a preset time encircling control problem under privacy protection constraints; designing a privacy protector based on an output mask function; a preset time privacy protection surrounding controller is further constructed, so that all the follower robots can enter the convex hulls of the leader robots on the premise of protecting the privacy of the follower robots; then, constructing an event trigger function without a sesame behavior, and designing a privacy protection preset time encircling controller based on an event trigger mechanism; according to the method, an event triggering mechanism and a finite time theory are combined, the convergence performance of privacy protection surrounding control of the multi-robot system is improved, resource consumption of algorithm calculation is reduced, privacy protection, communication broadband constraint and convergence speed are integrated, and the application scene of the algorithm is further expanded.

The invention provides a method for preparing a high-coercivity sintered neodymium-iron-boron magnet, and belongs to the technical field of rare earth permanent magnet material preparation, and the method comprises the following steps: 1, taking the sintered neodymium-iron-boron magnet as a base material, and removing an oxide layer through alkali washing deoiling, ultrasonic water washing and acid pickling cleaning; 2, taking the Pr-Dy-Cu-Ga quaternary alloy as a diffusion source, and cutting the Pr-Dy-Cu-Ga quaternary alloy into slices; 3, attaching the thin sheet to the surface of a base material for diffusion heat treatment; fourthly, low-temperature tempering is conducted; 5, testing a room temperature demagnetization curve of the sample; light rare earth Pr replaces a part of heavy rare earth Dy and is matched with Cu and Ga elements in a certain proportion to be smelted to obtain quaternary alloy, the quaternary alloy with low heavy rare earth serves as a diffusion source, the microscopic characteristics of the magnet are improved, grain boundary phase distribution is optimized, and under the condition that residual magnetism and the maximum magnetic energy product are slightly reduced, the coercive force of the sintered neodymium-iron-boron magnet is improved; and terbium and dysprosium are not used, so that the use amount of heavy rare earth elements and the production cost are reduced.

The invention discloses a dangerous chemical accident analysis system and analysis method based on digital twinning. The method comprises the following steps: establishing a jet fire accident consequence model of a fire spread analysis unit; establishing a toxic gas leakage accident consequence model; establishing a pool fire accident consequence model; establishing a steam cloud explosion accident consequence model; setting coordinates, proportion and position attributes of the model in the process of importing the three-dimensional data of the chemical industry park; sensor real-time monitoring data are accessed through a data interface and serve as input parameters, and dynamic updating and visual effect display are achieved. Three-dimensional scene restoration under high resolution is realized through a digital twin technology, model influence parameters are interactively set in combination with a Web end interface, physical states and environmental factors of hazardous chemicals are monitored in real time, and dynamic simulation and analysis are performed through a digital twin model, so that early recognition and early warning of accident risks are realized. And the prevention and coping capability of dangerous chemical accidents is improved.

The invention relates to gardenia polysaccharide as well as a preparation method and application thereof. The gardenia polysaccharide comprises the following monosaccharide units: rhamnose, glucuronic acid, galacturonic acid, glucose, galactose and arabinose, or mainly comprises rhamnose, glucuronic acid, galacturonic acid, glucose, galactose and arabinose; the molar ratio of rhamnose to glucuronic acid to galacturonic acid to glucose to galactose to arabinose in the gardenia polysaccharide is (3-15): (1-8): (4-18): (1-6): (15-35): (25-70). According to the gardenia polysaccharide, FFA induced mouse primary parenchymal hepatic cell lipid accumulation can be reduced, no obvious cytotoxic effect exists, CDAHFD diet induced hepatic fibrosis can be reduced, and the gardenia polysaccharide has a good effect of preventing and / or treating non-alcoholic steatohepatitis.

The invention discloses a preparation method of silicon-based composite aerogel containing metal oxide, which comprises the following steps: by taking a silicon source such as silica sol or silicate ester and inorganic metal salt as reaction raw materials and an alcohol-water solution as a solvent, controlling hydrolysis and polycondensation of reactants by adjusting the pH value of a reaction solution, and obtaining double-phase / multi-phase sol only through one-step hydrolysis; the preparation process of the sol is simplified, the rapid preparation of the gel is realized by combining a microwave curing process, and the obtained gel is subjected to solvent replacement and drying to obtain the silicon-based composite aerogel containing the amorphous metal oxide. The silicon-based composite aerogel prepared by the invention has excellent high-temperature resistance, and still maintains an amorphous phase structure after being subjected to heat treatment for 30 minutes at 1000 DEG C, so that structural collapse caused by crystallization is avoided.

The invention discloses a multi-spectral imaging system and method in a single-pixel type ultraviolet-visible-infrared wide spectral range. The system comprises a light source module, a modulation device, a lens group, a multi-spectral detection module, a multi-channel data acquisition module and a data processing module, according to the invention, a plurality of narrow-band detectors with different spectral responses are introduced into the multispectral detection module, so that additional light splitting devices and light filtering devices are avoided, parameters such as view fields, view angles and pixel numbers of images obtained by using different narrow-band detectors are completely the same, the problem of image registration does not exist, and data analysis and image fusion are facilitated; in addition, the size of the narrow-band detector is basically not limited and can reach the centimeter magnitude, and the imaging capability is improved under the condition of weak light. The multispectral imaging system provided by the invention has the characteristics of single-pixel imaging, large number of spectrums, wide spectral range, high imaging speed, good temporal-spatial resolution and small size.

The invention provides a silicon-carbon negative electrode material and a preparation method thereof, and relates to the technical field of lithium ion battery negative electrode materials. A preparation method of a silicon-carbon negative electrode material comprises the following steps: S1, reacting metal magnesium with silicon monoxide in an inert atmosphere at normal pressure and high temperature to obtain an initial product; performing acid pickling, water washing and drying on the primary product to obtain a secondary product; and crushing, grading and demagnetizing the secondary product to obtain the porous silicon negative electrode material. S2, dipping the porous silicon negative electrode material in an asphalt mixed solution, stirring, drying, and performing high-temperature carbonization to obtain a silicon-carbon matrix composite material; and S3, carrying out vapor deposition carbon coating on the silicon-carbon matrix composite material, cooling, and screening to obtain the silicon-carbon negative electrode material. The negative electrode material provided by the invention has excellent physical and chemical properties and electrochemical properties.

The invention discloses an indole sophocarpidine derivative photoaffinity active molecular probe which is formed by connecting an active group and a reactive group, the active group is a sophocarpidine derivative, the reactive group is a substance containing a diaziridine group and an alkyne group, and the chemical formula of the sophocarpidine derivative is as shown in the formula I. The invention further discloses a preparation method of the indole sophocarpidine derivative photoaffinity active molecular probe. After Spodoptera frugiperda Sf9 cells are treated by the indole sophocarpidine derivative photoaffinity active molecular probe for 72 hours, the inhibition rate can reach 86.33%, potential target protein when the sophocarpidine derivative acts on the Sf9 cells can be determined by utilizing the indole sophocarpidine derivative photoaffinity active molecular probe, targeted modification of sophocarpidine is facilitated, and the application range of the indole sophocarpidine derivative photoaffinity active molecular probe is widened. Further, matrine pesticides with excellent insecticidal activity are efficiently synthesized, and agricultural pests are better prevented and controlled.

The invention discloses a dynamic window-based graph optimization GNSS (Global Navigation Satellite System) and IMU (Inertial Measurement Unit) integrated navigation method, which improves the adaptability, calculation efficiency and positioning accuracy of a system in a dynamic environment by introducing a dynamic window strategy and a key frame mechanism. According to the method, the size of a sliding window is dynamically adjusted according to a real-time motion state, environment change and computing resources: when the environment is complex or high precision is needed, the window is enlarged to contain more historical information; when the environment is stable or computing resources are limited, windows are reduced to improve computing efficiency. Meanwhile, threshold values of position and posture changes are set, and only when the variable quantity of the current state and the latest key frame state exceeds the threshold values, new key frame nodes are added, key motion information is captured, and redundant calculation is avoided; according to the method, the optimal balance between the positioning precision and the calculation efficiency in a complex dynamic environment is realized, the method is suitable for an embedded platform with limited resources, and the requirement of high-precision real-time navigation is met.

The invention belongs to the technical field of photovoltaic tempered glass, and particularly relates to photovoltaic tempered glass and a preparation method thereof.The photovoltaic tempered glass sequentially comprises tempered glass and a protective coating from bottom to top; the protective coating is prepared from the following raw materials in parts by mass: 20 to 45 parts of fluorine-containing polysiloxane, 10 to 18 parts of tetraethoxysilane, 10 to 20 parts of silicon dioxide / tetrapod-like zinc oxide whisker / alkyl phosphate, 10 to 20 parts of titanium dioxide / polymer molecular brush, 0.5 to 1 part of catalyst and 80 to 120 parts of solvent; the fluorine-containing polysiloxane is obtained by carrying out a reaction on octamethyl cyclotetrasiloxane, decamethyl cyclopentasiloxane and trifluoropropyl methyl cyclotrisiloxane. The photovoltaic tempered glass provided by the invention has super-hydrophobicity, excellent light transmittance, high-temperature and high-humidity resistance, high and low temperature impact resistance and ultraviolet resistance.

The invention belongs to the technical field of water conservancy projects, and provides a river topography generation method and system, a storage medium and electronic equipment, and the method comprises the steps: collecting data needed for generating a river topography, dividing the river topography into a topography above the highest water level, a topography below the lowest water level, and a topography between the highest water level and the lowest water level, extracting a waterline, a center line and an overflowing section; calculating a relative stability index of an overflow section, identifying a stable river reach in the river channel, and dividing the stable river reach into a curved river reach and a straight river reach; the waterline of the curved river reach and the straight river reach is endowed with an elevation value to obtain a contour line; a terrain above the highest water level, a terrain between the lowest water level and the highest water level and a terrain below the lowest water level are constructed, and the three terrains are spliced to form a complete river channel terrain. According to the method, non-contact generation of the river terrain is achieved, a terrain foundation is provided for hydrodynamic analysis, and the method plays an important role in flood simulation, drainage basin management and ecological protection.

The invention belongs to the technical field of mRNA vaccines, and particularly relates to a self-replicating mRNA vaccine as well as a preparation method and application thereof. The self-replicating mRNA is transcribed from an alphavirus skeleton vector, the alphavirus skeleton vector comprises gene sequences of alphavirus non-structural proteins nsP2, nsP3 and nsP4 and mutated nsP1, and cysteine at the 492nd position of the mutated nsP1 is mutated into serine. The self-replicating mRNA provided by the invention has higher expression quantity and longer expression time for the target gene. The self-replicating mRNA is used for expressing IMP3 and can be prepared into a vaccine with good prevention and treatment effects on IMP3 positive tumors. Therefore, the invention has a good application prospect in the development of medicines and vaccines.