251results about How to "Convenient time" patented technology

The invention discloses a smart home energy management optimization method in an Internet of Things environment. According to the method, the Internet of Things technology is utilized, intelligent identification and classified management are carried out on equipment, multiple energy management strategies are preset, and a user can conveniently and autonomously adjust; energy data is monitored in real time through a sensor and an intelligent electric meter, an energy consumption rule is mined by using a big data analysis technology, and a demand trend is predicted; constructing an intelligent energy dispatching center, and formulating a dynamic energy distribution scheme by using an optimization algorithm; a mobile phone application and an intelligent control panel are developed, and a user is supported to check data, control equipment and carry out personalized customization; and meanwhile, equipment firmware upgrading and remote management are realized. According to the invention, energy consumption can be reduced, cost can be controlled, equipment collaboration and energy distribution efficiency can be improved, user experience can be enhanced, system maintenance and upgrading are facilitated, and intelligent household energy management is more efficient, intelligent and flexible so as to adapt to diversified household requirements.

The invention relates to the technical field of tea leaf detection, and discloses a tea leaf quality grade detection method and system.The method comprises the steps that a tea leaf sample is collected and pretreated; extracting chemical component indexes and physical properties of the pretreated tea leaves, and performing fusion and analysis; and establishing a tea quality grade classification model, inputting characteristics of a tea sample to be detected, outputting a detection result, and generating a tea quality grade report. Through combination of the support vector machine, the gradient boosting decision tree and the improved logistic regression algorithm, the precision of the tea quality classification model is optimized. The dynamic threshold function and the segmented excitation function are introduced to further solve the boundary fuzzy problem of the high-grade tea leaves and the low-grade tea leaves, and accurate judgment of tea leaf grade classification is achieved. And data restoration is carried out through weighted compensation correction and a recheck process, so that the output tea grade report is ensured to have high accuracy and reliability.

The invention relates to the technical field of automatic driving, and particularly discloses an automatic driving interpretation text determination method based on a large visual language model, and the method comprises the steps: obtaining a multi-view camera image, a BEV map image and a text query template; video features in the multi-view camera image are extracted, and image features in the BEV map image are extracted; aligning the image features with the video features based on a modal encoder; encoding the text query template, generating a text mark, mapping the aligned image features and video features to a text embedding space based on a shared projector, generating a visual mark, and inputting the visual mark and the text mark into an LLM backbone model; comprehensive three-dimensional dynamic / static situation perception and visual representation unification of a local scene and a global map are realized, the 3D LVLM architecture has excellent three-dimensional space understanding and dynamic time reasoning capabilities, and the accuracy and safety of end-to-end automatic driving are effectively improved.

The invention discloses a lightweight space-time traffic flow prediction method based on GAT and Mama, and relates to the technical field of intelligent traffic systems. According to the method, the feature expression ability of the model is improved through multi-dimensional feature learning (time, date and space-time) of an embedded layer, rich features of input data can be deeply captured, and the learning ability of the model is enhanced; a graph attention module is used to adaptively pay attention to the relative importance between nodes, so that the graph structure relationship in the data can be more effectively captured and utilized, and the analysis accuracy of the model on the spatial data is improved; the GAT-Mama module optimizes the time sequence analysis and spatial data processing capability, and the model can more accurately capture the dynamic dependency relationship between time points and between spatial positions through a multi-layer graph attention mechanism and residual connection; the GAT-Mama layer structure supports flexible adjustment, a user can adjust the depth of the model according to specific task requirements so as to adapt to spatio-temporal data prediction tasks with different complexities, and good adaptability is achieved.

The invention relates to the technical field of tourist route recommendation, in particular to a tourist route recommendation system and method based on big data. The method comprises the following steps: collecting travel demand data and basic sign information of a user, and performing hierarchical analysis on a demand to obtain master / slave demand data; then, through demand behavior intersection analysis, muscle soreness intensity is simulated in combination with user physical sign data, and the physical degeneration rate is further estimated; based on the physical decline rate, making a rest strategy, and optimizing distribution and adjustment of tourist routes; and finally, transmitting the adjusted tourist route data to a user terminal. According to the invention, the tourist route recommendation technology is improved, so that the tourist route recommendation technology is more perfect.

The invention relates to the technical field of Internet of Things gateways, in particular to an Internet of Things gateway and an operation method thereof. The method comprises the following steps: acquiring power system data, and constructing a power grid node topological structure diagram, so as to form a power system Internet of Things gateway; based on an Internet of Things gateway, power grid transmission demand prediction is carried out, an abnormal load state is analyzed, abnormal fluctuation of voltage and frequency is detected, and the stability of a power system is ensured; according to the frequency abnormity and voltage fluctuation data, the aging trend of power grid equipment is estimated, power resource loss estimation is carried out, abnormity early warning is carried out on power resource loss and equipment damage prediction data by utilizing an Internet of Things gateway, safe operation of a power grid is ensured, and early warning information is fed back to a terminal in time. According to the method, the intelligent level of the power system is effectively improved, and efficient resource configuration and fault management can be realized. According to the method, the Internet of Things gateway early warning is optimized, so that the Internet of Things gateway prediction is more efficient and accurate.

The invention provides a method for synchronously extracting tea seed oil and tea saponin from tea seeds, and belongs to the technical field of active substance extraction. According to the method, the extraction rate and the purity are remarkably improved by finely regulating and controlling the extraction conditions. The specific composite oil extraction auxiliary agent and the ultrasonic-assisted extraction technology are adopted, and the power, time and solvent ratio are optimized, so that the extraction efficiency and the product quality of the tea seed oil and the tea saponin are superior to those of the tea seed oil and the tea saponin prepared by a traditional method. Experimental data prove that the extraction rate of the tea seed oil reaches 27.22%, and the purity of the tea seed oil reaches 99.66%; the extraction rate of the tea saponin is 21.85%, and the purity of the tea saponin reaches 96.50%. By increasing the utilization rate of the raw materials and reducing the production cost, the market competitiveness of the product is improved, the high-quality tea seed oil and tea saponin meet the requirements of the market for natural products, and the tea seed oil and tea saponin have wide application prospects.

The invention relates to the technical field of garbage classification, and discloses an urban management garbage classification transportation system which comprises an intelligent classification module, a data collection and analysis module, a transportation scheduling module and a monitoring and management module. The intelligent classification module is used for automatically classifying the garbage by using image recognition and machine learning technologies; the data collection and analysis module is used for collecting data of each garbage throwing point, including garbage type, weight and throwing frequency; the transportation scheduling module is used for dynamically adjusting a garbage transportation route and a time table according to real-time data and prediction analysis; and the monitoring and management module is used for monitoring the whole process of garbage classification and transportation. The method has the advantage of improving the accuracy and the treatment efficiency of garbage classification.

The invention belongs to the technical field of glasses, and particularly discloses multifunctional protective glasses which comprise a glasses frame, glasses legs are hinged to two pile heads of the glasses frame respectively, heating wires and two conductive parts are contained in the glasses frame, the heating wires are arranged in a circle along two glasses rings of the glasses frame, and the two conductive parts are arranged at intervals and located at a nose bridge of the glasses frame. The two conductive parts are fixedly and conductively connected with the mirror frame, a host is hung on one pile head of the mirror frame, and the heating wire and the two conductive parts are electrically connected with the host. The heating wires are controlled by the host to heat, the glasses frame is heated, all parts of the glasses frame generate heat, eye peripheries are heated in all directions, eye blood circulation is promoted, eye fatigue is eliminated, meanwhile, the gyroscope and the distance measuring sensor are used for collecting the sitting posture of a user, the host controls the two lenses to be powered on and heated, and the lenses change color. And bad sitting postures and eye using habits of the user are corrected in time, so that the eye using habits are improved, and the user can use the device in various time periods and occasions conveniently.

The invention provides an under-forest economic area multi-unmanned aerial vehicle cooperative positioning method, and belongs to the technical field of positioning navigation application. The method comprises the following steps: acquiring an all-sky photo of an under-forest point location, and calculating the crown opening degree of the point location; the hovering positioning time of the unmanned aerial vehicle is set according to the crown opening degree, and under-forest hovering positioning of the base station unmanned aerial vehicle is carried out by using satellite signals; positioning the under-forest sensing unmanned aerial vehicle cluster based on the position information of the base station unmanned aerial vehicle; on the basis of multi-unmanned-aerial-vehicle cooperation of the base station unmanned aerial vehicle and the sensing unmanned aerial vehicle cluster, under-forest positioning signals are explored, and multi-unmanned-aerial-vehicle cooperative under-forest positioning is achieved According to the method, efficient and accurate positioning of the under-forest economic area can be achieved through cooperation of satellite signals and the multiple unmanned aerial vehicles, the position information service of vertical integration of the canopy is promoted, mechanical and automatic support is provided for under-forest planting and breeding, and intensive and efficient development of under-forest economy is assisted.

The invention provides a wind, light, fire and nuclear storage integrated scheduling architecture based on a complex and uncertain environment of a cold region power grid, and relates to the technical field of power grid system processing, the architecture comprises a data acquisition and monitoring layer, an analysis and decision layer, a control execution layer and an evaluation and optimization layer, the anti-freezing and deicing technology of the power transmission line effectively improves the reliability of equipment in severe environments such as low temperature and ice and snow, guarantees the stability of power transmission of a power grid, reduces equipment faults and power failure accidents caused by cold environment factors, enhances the anti-risk capability of the whole power grid, and improves the safety of the whole power grid. According to the method, characteristics and complementary relations of multiple energy sources of wind, light, fire and nuclear storage are comprehensively considered, peak regulation and frequency modulation analysis and decision making and integrated regulation and control analysis and decision making are carried out, and by constructing a reasonable operation scene and a scheduling model, optimal configuration and cooperative operation of power generation resources can be achieved under different operation conditions.

The utility model relates to the technical field of rehabilitation equipment, and discloses a full-automatic mouth opening exerciser for a radiotherapy patient, the full-automatic mouth opening exerciser comprises two closed rings, the right ends of the two closed rings are hinged, the upper surface of the right end of the lowest closed ring is provided with a sliding groove, the left ends of the two closed rings are overturned in opposite directions away from each other, and the left ends of the two closed rings are hinged to the sliding groove. And the right end of the uppermost closed ring is fixedly connected with an arc-shaped incomplete gear ring. According to the full-automatic mouth opening exerciser for the radiotherapy patient, through arrangement of an arc-shaped incomplete tooth ring and a gear, the purpose that when a power shaft rotates forwards and backwards, arc-shaped incomplete teeth are driven to turn downwards or upwards can be achieved, the effect that two closed rings are automatically opened and closed is achieved, and a user can conveniently conduct mouth opening training; meanwhile, by arranging a display controller, a user can conveniently preset training time and mouth opening frequency and angle, a patient can be assisted in scientifically and accurately completing a mouth opening training treatment course, and the overall practicability is improved.

The invention discloses an efficient defluorination agent suitable for photovoltaic wastewater and a preparation process thereof, and particularly relates to the field of photovoltaic wastewater treatment.The efficient defluorination agent comprises an outer-layer polymerization barrier and an inner-core drug release barrier, the outer-layer polymerization barrier wraps the outer portion of the inner-core drug release barrier, a first drug release area is formed between the outer-layer polymerization barrier and the inner-core drug release barrier, and a second drug release area is formed between the outer-layer polymerization barrier and the inner-core drug release barrier; an inner cavity of the inner core drug release barrier is a drug release area II; the outer-layer polymerization barrier comprises polyvinylidene fluoride, polyethylene glycol terephthalate and chitosan, and the outer-layer polymerization barrier is dissolved under the action of current or ultraviolet rays. By designing the structures of the outer-layer polymerization barrier and the inner-core drug release barrier, the function of gradually releasing the drug in a specific environment is realized, the outer-layer polymerization barrier is dissolved under the action of current or ultraviolet rays, and the inner-core drug release barrier is gradually hydrolyzed in an alkaline environment, so that the action time and effect of the drug are optimized; and the problem of unstable efficiency caused by too fast release in the traditional defluorination agent is avoided.

The invention discloses a durometer frame and forming and assembling equipment and a forming process thereof, and relates to the technical field of frame forming, the forming and assembling equipment of the durometer frame comprises a cooling box, the outer wall of the cooling box is fixedly connected with a mounting frame, the top of the cooling box is rotatably connected with a sealing cover, and the two sides of the cooling box are fixedly connected with observation windows; through the arrangement of the full shaking mechanism, under the synchronous action of a corrugated groove and a fan-shaped groove, the movement track that a transverse plate is turned over by 90 degrees after being pushed and then contracts and returns to the horizontal position is achieved, and through the cooperation with the arrangement of a cross-shaped groove, the fused part of the shell rotates discontinuously by 360 degrees and moves horizontally in a reciprocating mode finally; the assembly part continuously permeates into sand holes and air holes in the surface of the casting, so that the shell and the casting are tightly connected, the situation that bubbles are generated or contact is insufficient is prevented, the reliability of connection between the shell and the internal casting is improved, the assembly part continuously does transverse reciprocating and rotating motion in the cooling box, heat of the assembly part is rapidly lost, and then cooling and shaping are accelerated.

The invention relates to the technical field of image processing, and discloses an interactive processing method for an infrared image, comprising the following steps: S1, acquiring an infrared image to be processed; s2, preprocessing the infrared image, and extracting noise characteristics, edge characteristics and scene characteristics; s3, receiving feedback information input by the user through the user interaction interface, wherein the feedback information comprises enhancement intensity, denoising intensity and definition of the region of interest; s4, constructing an optimization model based on a variational method, wherein the optimization model guides image processing by describing denoising, detail enhancement and image smoothing optimization targets; and S5, introducing partial differential equation constraints. Through an energy functional optimization model and partial differential equation constraint, the denoising and detail retention capability of the infrared image is improved; parameters are dynamically adjusted in combination with a user interaction mechanism, and personalized requirements are met; an explicit time step iteration method is adopted, calculation efficiency is improved, precision and stability are both considered, and the method adapts to complex scenes.

The invention discloses a life history review multi-mode cognitive training method based on generative artificial intelligence. The method comprises the following steps: step 1, determining a cognitive state; step 2, pre-measuring; step 3, performing intervention; 4, intervention feedback and post-test are carried out; 5, comparing effects; 6, iterative optimization is carried out; according to the life history review multi-mode cognitive training method based on the generative artificial intelligence, the artificial intelligence technology is used for assisting intervention, the training effect can be improved, the personalized requirement can be met, the cognitive function of participating old people can be improved by stimulating self-propagated body memory, life integration and completion can be achieved, and the method is suitable for popularization and application. The life quality is improved, time convenience, place convenience and personnel convenience are achieved, selectivity and flexibility of service personnel are expanded, medicine taking and nerve stimulation are not involved, physiological invasiveness is avoided, and worries of intervention objects and family members of the intervention objects on side effects are reduced.

The utility model provides a bottle blowing mechanism of a bottle blowing machine, which comprises a working frame, the bottom of the working frame is fixedly provided with a base, the top of the working frame is fixedly provided with a bottle blowing device, the left side and the right side of the working frame are both fixedly provided with air cylinders, the inner sides of the two air cylinders are both fixedly provided with push plates, and the inner sides of the two air cylinders are both fixedly provided with the push plates. Mould bodies are arranged on the inner sides of the two push plates, inserting blocks are fixedly installed on the outer sides of the two mould bodies, disassembling mechanisms are arranged on the inner sides of the two push plates, the mould bodies can be rapidly assembled or disassembled by arranging the disassembling mechanisms, and when different types of mould bodies need to be replaced according to the size of a bottle body, the mould bodies can be conveniently disassembled and assembled. Compared with the prior art, the bottle blowing device is simple in structure and convenient to use, the action and time for screwing bolts for multiple times in the prior art are effectively saved, people can use the bottle blowing device conveniently, meanwhile, due to the fact that the replacement speed is increased, the time consumed by replacement is shortened, equipment can enter bottle blowing work more quickly, and the production speed of the bottle blowing work is relatively increased.

The present invention relates to the field of magnetic material technology, and in particular to a method for preparing isotropic samarium iron nitrogen magnetic powder and isotropic samarium iron nitrogen magnetic powder. A method for preparing isotropic samarium iron nitrogen magnetic powder comprises the following steps: 2 Fe 17 The invention discloses a method for preparing a samarium iron alloy by mixing metal Sm and Fe with an excess of 5% to 10% of Sm, and then melting and rapidly solidifying the metal Sm-Fe alloy flakes; crushing the Sm-Fe alloy flakes to prepare powdered Sm-Fe alloy; subjecting the powdered Sm-Fe alloy to HDDR treatment to obtain an isotropic alloy block; crushing the isotropic alloy block, and subjecting the powdered Sm-Fe alloy to aging treatment to obtain an isotropic alloy powder; subjecting the isotropic alloy powder after aging treatment to high temperature nitriding treatment to obtain Sm 2 Fe 17 N 3 Isotropic magnetic powder. The prepared isotropic samarium iron nitrogen magnetic powder has both high magnetic energy product and coercive force.

The invention discloses a method for rapid broad-spectrum detection of salmonella, and relates to the technical field of bacterial detection. Comprising the following steps: (1) preparing a labeled SERS probe; (2) preparing a Fe3O4 (at) Au (at) Ag magnetic composite material; (3) combining Fe3O4 (at) Au (at) AgNPs with Ag (at) 4MBA (at) AuNPs to construct an aptamer sensor; and (4) carrying out SERS detection on the salmonella. According to the novel surface enhanced Raman scattering (SERS) aptamer sensor constructed on the basis of noble metal nanoparticles and a magnetic composite material, according to the inverse proportion relation that the higher the salmonella concentration is, the weaker the Raman signal is generated according to the principle of a competition law, the ultrasensitive rapid field detection is carried out on different salmonella.

The invention relates to the technical field of metal beneficiation, in particular to a separation method for precious metal in low-grade copper-nickel sulfide ore, and solves the problems of low recovery rate and separation efficiency of the precious metal in the low-grade copper-nickel sulfide ore at present. According to the method, ore grinding is carried out through a first ball mill, grading is carried out through a first cyclone after ore grinding, part of graded settled sand is separated out through an ore separation gate and subjected to vibrating screen coarse separation, oversize coarse particle ore of a vibrating screen returns to the first ball mill to be ground again, it is ensured that precious metal in the oversize coarse particle ore is fully dissociated, and undersize fine particle ore is subjected to gravity separation through a Nelson gravity separator; the Nelson concentrate is subjected to ore grinding through a second ball mill, precious metal minerals such as gold and platinum in the Nelson concentrate are subjected to full monomer dissociation, desliming is conducted through a second cyclone after ore grinding, deironing is conducted through a magnetic separator on settled sand, and then the ores are fed into a table concentrator, so that the precious metal concentrate with higher purity is obtained, and precious metal in low-grade raw ore is effectively enriched; and the recovery rate of gold and platinum noble metals is effectively improved.

The invention discloses a chiral amine ligand-based room-temperature continuous-wave perovskite laser and a preparation method thereof, a quasi-two-dimensional perovskite film with ordered phase distribution, strong crystal orientation and low lattice distortion degree is obtained by using a chiral amine ligand, and these characteristics endow the film with an excellent four-level material structural system, a high-energy-level material structural system, a high-energy-level material structural system, a high-energy-level material structural system, a high-energy-level material structural system, a high-energy-level material structural system and a high-energy-level material structural system. The carrier pumping efficiency is enhanced, population inversion is facilitated, and the laser threshold is reduced; the energy transfer efficiency from a low two-dimensional phase (n = 1) to a high two-dimensional phase (ngt; 5) is enhanced; the number and strength of hydrogen bonds between the perovskite octahedral frame and the perovskite octahedral frame are increased, and the electroacoustic coupling effect is effectively inhibited. The prepared chiral quasi-two-dimensional perovskite serves as a gain medium and is combined with an optical resonant cavity to prepare a laser, room-temperature low-threshold continuous wave or pulse laser emission can be realized under various coherent light source pumps, the threshold is 1-3 orders of magnitude lower than that of a traditional semiconductor laser, and the optimized threshold can reach 1.57 W / cm < 2 >.

The invention provides a cross-platform advertisement effect real-time digital tracking and analysis system, and relates to the technical field of Internet information, and the system comprises a time sequence modeling module of cross-platform user behaviors, a user behavior data collection module under differential privacy protection, and a cross-platform advertisement effect correlation analysis module based on a graph neural network. Through a time sequence behavior model, the system can predict future advertisement interaction behaviors of a user on different platforms, so that an advertisement putting strategy is optimized, the safety of user behavior data is ensured through a differential privacy technology, an advertiser or a third party is prevented from inferring specific user information from an advertisement effect, the privacy protection requirement is met, and the user experience is improved. Through cross-platform analysis of the graph neural network, the system can discover the synergistic effect of the advertisement on different platforms, intelligently distribute advertisement resources and improve the overall putting effect and conversion rate of the advertisement, and through a real-time feedback mechanism, an advertiser can optimize an advertisement strategy according to data provided by the system and realize dynamic adjustment of advertisement putting.

The invention discloses a continuous wave three-dimensional chiral perovskite laser and a preparation method thereof, and a high-quality perovskite gain medium is prepared by adopting a simple, easy-to-operate and low-cost method for post-processing perovskite crystals through a chiral solution. According to the present invention, the chiral perovskite crystal surface defect is passivated while the stable strong covalent bond or ionic bond can be formed through the intramolecular acting force, the chiral spinning electron in the chiral material is conducted to the achiral perovskite crystal so as to achieve the circular polarization luminescence, and the asymmetric factor reaches 8.5 * 10 <-3 > (-8 * 10 <-3 >); the post-processed perovskite crystal can generate stimulated radiation amplification under the excitation of femtosecond laser, the threshold value is 12.73 mu J / cm < 2 >, the light-emitting asymmetric factor is amplified to 0.054 near the threshold value, laser emission can be formed under the excitation of continuous wave laser under the condition that a high-quality optical microcavity is combined, and the multimode laser threshold value is 0.6 W / cm < 2 >.

The invention belongs to the technical field of preparation of semiconductor nanomaterials, and discloses a large-scale preparation of a g-C3N4 nanotube array with a high nitrogen ratio and a preparation method thereof, and the preparation method comprises the following steps: (1) preparing a single nitrogen source mixed solution by using urea; (2) adding hydroxylamine sulfate to obtain a multi-nitrogen-source mixed solution; (3) adding melamine to obtain a dispersion liquid of a multi-nitrogen-source mixed melamine system; (4) carrying out a hydrothermal reaction, and cleaning and drying a reaction product to obtain precursor powder of the multi-nitrogen-source doped melamine, which has a nano columnar array structure; and (5) calcining to obtain the g-C3N4 nanotube array nano material with the high nitrogen ratio. The g-C3N4 nanotube array material can be obtained without the aid of rigid template induction assisted synthesis, and the problems of complex and dangerous operation process, low product purity, time consumption and low yield in the prior art can be solved.

The present invention discloses a flat tube front floor drain type non-dropping same-floor drainage system. The bathroom composed of a rear-drainage toilet, a shower room, a washbasin and a bidet is taken as the research object. The drainage pipe is laid in a sewage and waste diversion manner. The drainage of the rear-drainage toilet is discharged into the riser through the sewage pipe, and the drainage of the bidet, washbasin, and the internal and external floor drains of the shower room are discharged into the riser through the wastewater pipe. The wastewater horizontal pipe and the riser are connected by a flat swirl tee. The front floor drain is installed in the shower room and on the side of the washbasin in the spare floor. In terms of the pipe section form and laying method, the sewage pipe adopts the traditional round pipe concealed laying method along the wall, and the wastewater pipe adopts the flat pipe buried underground concealed laying method. Under the premise of meeting the drainage capacity, the height occupied by the entire wastewater pipe is reduced to the maximum extent, making the present invention one of the technical solutions with the smallest height in the current buried concealed same-floor drainage system.

The utility model relates to the technical field of toy production, and discloses a drilling machine for toy production, which comprises a back plate, a guide chute is arranged on the back plate, the guide chute consists of an inclined chute and a vertical chute, a sliding rod is arranged in the guide chute, the sliding rod is slidably connected with the back plate, one side of the sliding rod is fixedly connected with a first sleeve plate, and the other side of the sliding rod is fixedly connected with a second sleeve plate. A transverse plate is slidably connected to the inner wall of the first sleeve plate, a mounting plate is fixedly connected to one side of the transverse plate, a drilling mechanism is arranged at the end, away from the transverse plate, of the mounting plate, a second sleeve plate is fixedly connected to the side, away from the first sleeve plate, of the sliding rod, a vertical plate is slidably connected to the inner wall of the second sleeve plate, and a first L-shaped plate is fixedly connected to one side of the bottom end of the vertical plate. And one side of the first L-shaped plate is fixedly connected with a first clamping plate. The toy fixing device is convenient to operate, the toy can be conveniently fixed and unfixed, the working efficiency can be improved, and the workload of workers can be reduced.

The application provides a method for inducing poly-podophylli rhizoma by using clump buds, comprising the following steps: S1, cutting stem segments from a podophylli rhizoma mother plant, soaking and cleaning to obtain explants; S2, disinfecting and cleaning the explants, inoculating into a clump bud induction medium to obtain podophylli rhizoma clump buds; S3, inoculating the clump buds into doubling liquid I, washing with a liquid clump bud induction medium after culture, and then transferring into doubling liquid II; S4, taking out the clump buds, cleaning, inoculating into a clump bud induction medium, and then inoculating into a bud proliferation medium; S5, waiting until 1-2 cm, screening out potential mutant strains through phenotypes, inoculating into the bud proliferation medium for subculture, and obtaining mutant plants; and S6, rooting culture of the mutant plants, and after root systems grow, planting and raising seedlings, and then poly-podophylli rhizoma plants are obtained. In the research, suitable concentration of colchicine is used for induction treatment twice, and through stage concentration switching and intermittent recovery strategies, the poly-ploid induction efficiency and explant survival are effectively considered.

The invention discloses background layer updating during coding. A method performed by an image processing apparatus for updating a background layer during encoding of a scene is provided. A scene is encoded based on classifying objects depicted in the scene as foreground or background. The background is divided into ranked background layers, wherein each background layer is associated with a respective depth model. The method comprises detecting (S102) a change in an image portion of a background layer. The method comprises calculating (S104) a difference between the image portion and a corresponding image portion of a background layer ranked behind the one background layer. The method comprises selecting (S106a) the background layer ranked behind the one background layer to represent the image portion when the difference is less than a threshold.

The invention relates to a silicon wafer resistivity testing method and device. The method comprises the following steps: controlling a laser beam to heat a surface area of a to-be-tested silicon wafer, so that the surface temperature of the to-be-tested silicon wafer reaches a target temperature, and continuously heating for a preset duration after the target temperature is reached, so that an oxygen cluster formed in the to-be-tested silicon wafer is decomposed into interstitial oxygen; controlling the laser beam to leave the surface area of the silicon wafer to be tested; and under the condition that the to-be-tested silicon wafer is cooled, measuring the resistivity of the to-be-tested silicon wafer. According to the method, the silicon wafer is rapidly heated to the target temperature through laser, oxygen clusters are decomposed, after heating is stopped, a heat source disappears instantly, the silicon wafer can be rapidly cooled without external force, the situation that the silicon wafer stays for a long time in the interval of 300-500 DEG C, interstitial oxygen is gathered again to form the oxygen clusters is avoided, and therefore the problem of silicon wafer resistivity test distortion is solved, and the test efficiency is improved. And the test efficiency can be improved, the process is simple, and the cost is low.

The application relates to the technical field of disinfection equipment, in particular to an external disinfection cabinet, which comprises a cabinet body with a containing space and a plurality of drawer assemblies arranged in the containing space, and one or more of the drawer assemblies are disinfection drawer assemblies; after the disinfection drawer assemblies are pulled out of the cabinet body, disinfection tubes are exposed outside the containing space; the disinfection drawer assembly comprises a drawer part, sliding parts are arranged at the two ends of the drawer part, and a plurality of disinfection tubes are arranged on the drawer part; the disinfection tubes are arranged on the drawer part and irradiate the outside of the drawer part. The external disinfection cabinet can not only disinfect kitchenware and tableware stored in the cabinet, but also disinfect the environment outside the disinfection cabinet.