1607 results about "Sustainable development" patented technology

The invention relates to the technical field of rural image inspection and recognition, and discloses a multi-source image collaborative inspection and recognition analysis system and method for a digital rural area, and the method comprises the steps: collecting multi-source image data in real time; obtaining a plurality of characteristic parameters corresponding to each image data item in the image data set, and carrying out space-time registration and multi-scale fusion processing on the plurality of characteristic parameters of each image data item; performing target detection and identification analysis on the plurality of feature parameters in the fusion feature parameter set, and constructing an abnormal point identification model; setting a plurality of abnormal point change thresholds according to the inspection coordinate data set for classification processing to obtain a plurality of abnormal point categories; and setting a corresponding co-processing scheme according to the plurality of abnormal point categories, and setting early warning information corresponding to the change trends of the plurality of abnormal point categories based on the co-processing scheme. According to the invention, the intelligent degree and response efficiency of rural inspection are improved, and the safety and sustainable development of digital rural construction are effectively guaranteed.

The invention provides a layered multi-agent-based full-process intelligent decision-making method and system for mineral development. The method comprises the following steps: constructing a three-level intelligent decision-making main body-based full-process layered collaborative decision-making architecture for mineral development; designing a communication protocol; and establishing a quantitative coupling relationship between the cross-link coupling constraint and the process parameters. And constructing a state space and an action space of the three-level intelligent decision-making main body. Designing a global objective function, a link objective function and a key parameter collaborative optimization model; and establishing an adaptive weight optimization mechanism. And designing a distributed collaborative optimization mechanism based on an alternating direction multiplier method. And implementing an agent collaborative decision-making process of the evolutionary game. The selected decision scheme is converted into a specific production instruction to be issued and executed, the execution effect and feedback data are monitored in real time, and the strategy is dynamically adjusted and optimized. According to the invention, the multi-objective collaborative optimization of the full life cycle of mineral development is realized, and the intelligent, green and sustainable development of mineral resource development is promoted.

The invention discloses high-performance fluid-state solidified soil for backfill based on composite ardealite of building residue soil, which is prepared by taking the building residue soil as a core raw material, taking a compound of a polycarboxylic acid water reducer and hydroxypropyl methyl cellulose as a fluidization regulator, and mixing the fluidization regulator and the building residue soil to prepare the high-performance fluid-state solidified soil for backfill. Superfine slag powder, fly ash, nano silicon dioxide, metakaolin and ardealite are used as curing agents, so that the fluid-state solidified soil with strong performance is obtained. Through the synergistic effect of all the components and innovative processes such as liquid nitrogen low-temperature grinding, nano material compounding and a segmented vacuum stirring process, the effect that the ultrahigh strength of the construction waste soil reaches 7.5 MPa within 14 days is achieved for the first time and is improved by 40% or above compared with that of conventional solidified soil, and the industrial problem that traditional waste soil is insufficient in solidification strength is solved; and collaborative optimization of strength and fluidity is realized. Meanwhile, efficient resource utilization of the construction waste is achieved, land occupation and environmental pollution caused by muck landfill are greatly reduced, and the requirement for green and sustainable development is met.

The invention discloses talaromyces purpurogenum as well as a fermented supernatant and application thereof. The preservation number of the talaromyces purpureogenus F-4 is CCTCC NO: M 20252023, and the talaromyces purpureogenus F-4 has the growth promoting effects of dissolving phosphorus, fixing nitrogen and generating siderophores, also has the disease preventing and treating effects of preventing and treating garlic root rot, potato scab and wheat stem rot, and also can resist salt stress, alkali stress, salt-alkali composite stress, heavy metal stress and osmotic pressure stress. The fermentation supernatant of the talaromyces purpureus F-4 can be used for inhibiting the growth of fusarium solani spores, streptomyces botrytis spores and fusarium pseudograminearum and the germination of the spores of the fusarium solani, the streptomyces botrytis and the fusarium pseudograminearum. The talaromyces purpurogenus and the fermented supernatant thereof can effectively control the growth and reproduction of plant pathogens, reduce the risk of disease occurrence, reduce the dependence on chemical pesticides, and reduce the risk of environmental pollution and agricultural product residues, and have important significance for promoting the sustainable development of agriculture.

The invention relates to an intelligent generation method, system and device for a passive design scheme of a green building and a medium. The method comprises the following steps: firstly, collecting site limitation data and climate data, inputting the data into a thermal performance simulation model, and outputting building heat loss and solar heat gain distribution; based on the result, a genetic algorithm is used for optimizing parameters such as the building orientation and the window-wall ratio, and a building design parameter combination is formed through energy consumption calculation, standard judgment and iterative optimization. Then, thermal and economic parameters are extracted from the design parameters to construct a data set, the parameters are screened to generate a building layout optimization instruction, and the layout is adjusted in combination with a dynamic adaptation standard to obtain an optimization scheme. And finally, associating the optimized layout with site parameters, performing energy model optimization to form a low-carbon scheme, and coupling environment adaptability data to generate a sustainable development scheme. By means of the method, the problems that traditional design parameter optimization is low in efficiency and multiple targets are difficult to balance can be solved, layout reasonability and energy consumption control precision are improved, and low carbon of the whole life cycle of the building is assisted.

The invention discloses a method for preparing spherical metal fine powder by using coarse / waste powder through ultrasonic atomization, which comprises the following steps of: (1) collecting coarse / waste powder raw materials for ultrasonic atomization powder preparation, (2) conveying the coarse / waste powder to an electric arc melting area through argon gas flow, and carrying out melting and ultrasonic atomization powder preparation processing; (3) in the powder preparation process, the powder is continuously collected by using argon circulating airflow, so that the continuity of the powder preparation process is ensured; and (4) finally screening the prepared powder in particle size ranges to obtain high-quality spherical fine powder in different particle size ranges. According to the method, the recycling and reusing problems of 3D printing splashing waste powder and coarse powder in the traditional gas atomization powder manufacturing process are solved, and the powder pollution risk is remarkably reduced; according to the ultrasonic atomization re-powdering technology, the high-quality spherical metal fine powder needed by additive manufacturing can be efficiently prepared, powder waste discharge and environmental burden are reduced, the obtained powder can be directly used as a high-quality raw material for additive manufacturing, and green and sustainable development of the metal additive manufacturing industry is promoted.

The invention belongs to the technical field of adhesives, and particularly relates to a preparation method of a polysaccharide-based reversible bonding adhesive for constructing a dynamic covalent bond network. The preparation method comprises the following steps: by taking lipoic acid and sodium alginate as reactants and ferric chloride as a cross-linking agent, carrying out cross-linking reaction under a stirring condition to obtain a lipoic acid adhesive, namely the polysaccharide-based reversible bonding adhesive. According to the invention, renewable biomass resources such as sodium alginate, hyaluronic acid, chitosan and the like are used as main raw materials, so that the adhesive is expected to replace a traditional synthetic adhesive depending on a petroleum base, accords with a sustainable development strategy, contributes to reducing consumption of fossil resources, avoids release of toxic substances such as formaldehyde and the like in the synthesis and use processes, and has a good application prospect. And the method is more environment-friendly. The bio-based polysaccharide raw material has good biocompatibility and degradability, and an ideal base material is provided for developing a green and safe biomedical adhesive.

The invention discloses a microbial agent and application thereof in preventing and treating rice blast and promoting rice growth, active ingredients of the microbial agent are formed by compounding cold bacillus with the preservation number of CGMCC (China General Microbiological Culture Collection Center) NO: 33492 and bacillus velezensis with the preservation number of CGMCC NO: 33493, and the microbial agent aims at solving the synergistic problem of preventing and treating rice blast and promoting rice growth. According to the complex microbial inoculant, through the synergistic interaction between the two strains, the metabolite of the complex microbial inoculant can completely inhibit the spore germination of magnaporthe oryzae; meanwhile, the fungicide can degrade cellulose, obviously promote the growth of plant height, fresh weight and dry weight of rice, and realize the integration of disease prevention and growth promotion. The invention further discloses a preparation method of the fungicide and an application method of the fungicide for preventing and treating rice blast and promoting growth in a root irrigation mode in the three-leaf stage of rice. The microbial agent disclosed by the invention has dual functions of efficiently preventing diseases and stably promoting growth, and an efficient and safe biological solution is provided for green and sustainable development of agriculture.

The invention relates to the technical field of underground space development, and provides a coastal bedrock type city underground space development geological suitability evaluation method comprising the following steps: analyzing key geological problems of land area and sea area underground space development, and extracting related geological factors; basic geological data are collected and classified, a geological suitability evaluation index system is constructed, and geological evaluation units are divided; subjective and objective weights are determined based on an analytic hierarchy process and an entropy weight method, and an optimal comprehensive weight is obtained through game theory combination weighting; modeling based on a grey correlation analysis method, and calculating and grading suitability scores of the evaluation units; and integrating evaluation results, and generating an underground space development geological suitability partition map of land-sea overall planning. According to the scheme, the underground space development pattern is optimized, comprehensive utilization of land and ocean resources is promoted, and safe, efficient and sustainable development and utilization of the coastal city underground space are powerfully supported.

A simulation method for characterizing the spatiotemporal changes of groundwater levels, which belongs to the technical field of computer machine learning; includes the steps of: obtaining long-term groundwater level data based on long-term groundwater monitoring wells; superimposing multiple hydrogeological parameter information based on groundwater level data; and constructing a regional neural network model with physical mechanism by using a two-dimensional groundwater seepage equation serving as a physical mechanism, thereby simulating the temporal and spatial evolution of regional groundwater levels. The present invention can strengthen the rational use of groundwater resources, implement scientific and effective supervision, and provide a scientific basis for protecting regional groundwater safety and promoting the sustainable development of groundwater resources.

The invention provides a high geothermal exploitation land subsidence data monitoring method and device. The method comprises the following steps that S1, a monitoring area is determined, and monitoring points are arranged; s2, corresponding monitoring devices are installed at the monitoring points and debugged; s3, collecting multi-source original data; s4, preprocessing the multi-source original data; s5, constructing a collaborative fusion model of the long short-term memory network and the gradient boosting decision tree, and outputting a final fusion settlement amount; and S6, carrying out time sequence analysis, spatial distribution analysis and anomaly judgment. Through the full-process design of multi-source data acquisition, intelligent fusion modeling and dynamic analysis early warning, high-precision and dynamic settlement monitoring is achieved, the problems of precision limitation and response lag of a traditional monitoring method are solved, and key technical support is provided for safe and sustainable development of high geothermal resources.

A method and system for determining coal blending schemes for different coal types in a thermal power plant. The method comprises: acquiring coal type data of a coal yard and historical operation data of a coal treatment apparatus and a coal environmental protection system; on the basis of the coal type data of the coal yard and the historical operation data of the coal treatment apparatus and the coal environmental protection system, establishing constraint conditions for minimum calorific value, ignition stability, sulfur content, moisture content and ash content of blended coal fed into a boiler; on the basis of the constraint conditions, determining the blending and firing ratio for different coal types, so as to obtain a plurality of coal blending schemes; and by using the lowest comprehensive power supply cost as an objective, establishing an objective function, solving objective function values for the plurality of coal blending schemes, and, on the basis of the objective function values, obtaining a final coal blending scheme of the thermal power plant. The present invention determines various constraint conditions for blended coal on the basis of the current operation status of unit apparatuses, such that the coal blending and firing scheme better conforms to the actual operation conditions of a unit. In addition, since the coal blending scheme is obtained by performing big data analysis on various data, the method is simple and feasible, involves relatively low cost, and can increase the blending proportions of economical coal types, thereby lowering power generation cost, improving resource utilization efficiency, and realizing sustainable development of energy.

The invention discloses a method for evaluating the coordinated mining degree of coal and allogeneic symbiotic bauxite based on production progress planning, which comprises the following steps of: constructing a space coordinate system, and dividing a coal seam and allogeneic symbiotic bauxite into three-dimensional ore blocks; based on multi-objective 0-1 integer programming, establishing a coal and allogeneic symbiotic bauxite coordinated mining mathematical model, and determining an optimization objective and constraint conditions; a genetic algorithm is adopted to intelligently solve the model, and an approximate Pareto optimal solution set is obtained, so that an optimal production progress scheme in a specific period is formed; and based on the optimal production progress scheme, constructing a coordinated mining degree evaluation index system, and performing quantitative evaluation on the coordination degree of the actual mining scheme. According to the method, through production progress planning and intelligent optimization, space-time conflicts in the mining process of the coal mine and the allosymbiotic bauxite can be effectively avoided, comprehensive balance of economic benefits, safe production and environmental protection is achieved, and a scientific basis is provided for optimization and sustainable development of a mine production scheme.

The invention discloses paenibacillus sp. H31, which is preserved in the China Center for Type Culture Collection (CCTCC), the preservation number is CCTCC NO: M 20252669, and the preservation date is November 24, 2025. The invention further discloses a preparation method of the paenibacillus sp. The paenibacillus H31 disclosed by the invention not only has broad-spectrum disease-resistant activity on pathogenic fungi of various plants, but also has a remarkable growth-promoting effect on pepper, so that the paenibacillus H31 can be widely applied to prevention and treatment of agricultural diseases and insect pests, and sustainable development of green agricultural production is promoted. In addition, the paenibacillus H31 also has the effects of hydrolyzing proteinase and cellulose and decomposing ferritin, so that the paenibacillus H31 also can be applied to the scenes of industrial production and the like.

The invention belongs to the field of crossing of remote sensing visual questioning and answering and artificial intelligence, and particularly relates to a remote sensing visual questioning and answering method based on a large language model and a multi-level attention mechanism. Comprising the following steps: 1, constructing a MogaNet-based semantic segmentation network; 2, text coding is carried out through a large language model; 3, constructing a mixed attention guiding module; 4, constructing a bidirectional gating cross attention module; and 5, constructing and cooperatively training a remote sensing visual question-answer network. According to the MLaVQA framework provided by the invention, efficient and accurate visual question-answering processing of remote sensing images can be realized, when large-scale multi-modal remote sensing data is processed, complex semantic questions can be quickly answered, fine monitoring and intelligent management of earth resources are realized, the data utilization efficiency and decision support capability are remarkably improved, and the method is suitable for large-scale multi-modal remote sensing data processing. And technical support is provided for natural resource management, ecological protection and sustainable development.

The invention discloses a soil conditioner for saline-alkali soil and a preparation method and application thereof, and belongs to the technical field of solid waste resource utilization and soil improvement, the soil conditioner for saline-alkali soil comprises the following raw materials: coal gangue, ardealite and an auxiliary agent, and the mass ratio of the coal gangue to the ardealite to the auxiliary agent is (20-60): (20-60): (10-30). The preparation method comprises the following steps: drying and crushing the raw materials, uniformly mixing, mechanically activating or thermally activating the mixture, and screening to obtain the soil conditioner. According to the invention, the raw materials are subjected to synergistic activation treatment, so that the obtained soil conditioner achieves good effects in the aspects of increasing the content of effective silicon and adsorbing heavy metals, the problem that single performance is prominent and the other performance is obviously insufficient is avoided, and the improvement target of double-effect collaboration is achieved. And the soil conditioner not only can effectively supplement nutrient elements such as silicon in the saline-alkali soil, but also can remarkably adsorb and passivate heavy metals (such as cadmium, nickel, copper, lead and chromium), so that the soil fertility and the environmental safety are improved at the same time. Besides, solid wastes such as the coal gangue and the ardealite are used as main raw materials, so that the method has the advantages of low cost, high resource utilization rate, environmental friendliness and the like, and conforms to the green and sustainable development concept.

The invention discloses a humic acid type biological organic fertilizer and a preparation method thereof, and belongs to the technical field of agricultural biologication.The fertilizer is prepared from weathered coal humic acid raw powder, seaweed processing residues and insect manure as main raw materials. The soil conditioner is prepared by adding a compound microbial agent, a mineral synergist, an enzyme preparation, a coating material, a soil structure regulator, a signal molecule inducer, a trace rare earth element additive, a stabilizer and the like in a specific ratio and adopting a two-step fermentation process. The fertilizer disclosed by the invention has remarkable functions of soil improvement, nutrient slow release, microbial community regulation and control, crop stress resistance enhancement and the like, remarkably improves the yield and quality of crops, reduces the use of chemical fertilizers, promotes agricultural sustainable development, and has remarkable economic and ecological benefits.

The invention relates to a vehicle-mounted unmanned aerial vehicle take-off and landing platform in a grassland scene, the vehicle-mounted unmanned aerial vehicle take-off and landing platform is composed of an intelligent box body and an integrated connection platform, the intelligent box body integrates various sensors, monitors environment information inside and outside the box, provides conditional decisions for take-off and landing and charging operation of an unmanned aerial vehicle as a basis, and is provided with a high-speed data interface and a single-drive opening and closing mechanism; flight data of the unmanned aerial vehicle can be downloaded quickly, and energy loss of opening and closing actions is reduced; an integrated connection platform is nested in the box body, meanwhile, reset charging and autonomous feeding functions are integrated, and the endurance and material supply capacity of the unmanned aerial vehicle is improved; the platform can be carried on the upper portion of a movable chassis, near-low-altitude remote sensing image collection of the unmanned aerial vehicle is carried out on the rugged grassland terrain, and good scientific basis and technical support are provided for producers to monitor grassland degradation conditions and carry out ecological protection operation such as grass seed reseeding. And powerful technical support is provided for sustainable development of the grassland and promotion of intellectualization of related industries.

The present application relates to the technical field of aquaculture monitoring and regulation, and discloses a water quality multi-parameter real-time online monitoring system. The system comprises a multi-source data acquisition module for obtaining and denoising water quality data; a time sequence feature analysis module for generating multi-dimensional feature clusters containing the correlation of various parameters; an anomaly identification module for dynamic deviation compensation, monitoring sub-domain demarcation and key parameter extraction; a collaborative regulation module for constructing a regulation decision unit to generate a multi-parameter collaborative regulation strategy; and an iterative correction module for correcting the regulation strategy to output real-time adjustment instructions. An early warning module is also provided for biological safety assessment and early warning and activation of the emergency intervention mechanism. The system can accurately monitor the multi-parameters of the water quality of aquaculture in real time, realize intelligent regulation and biological safety early warning, effectively improve the yield and quality of aquaculture, reduce the risk of aquaculture, and promote the sustainable development of the industry.

The invention provides the application of the OsLNHG1 gene in regulating and controlling the nitrogen utilization efficiency and the yield of the rice, in a low-nitrogen paddy field, the plant height of an OsLNHG1 gene overexpression plant is remarkably increased, and the tiller number is a core agronomic character for directly determining the yield of the rice. In a normal nitrogen paddy field, the plant height and the effective tiller number of an OsLNHG1 gene overexpressed plant are remarkably increased, a core gene resource is provided for cultivating a new variety of fertilizer-saving high-yield rice, and the gene has great significance for agricultural sustainable development.

The invention discloses a hydrofining method for optimizing the chromatic value of a bio-based terephthalic acid product, and belongs to the technical field of terephthalic acid hydrofining. The special refining process suitable for the bio-based CTA is formed by optimizing the whole process of pretreatment, hydrogenation reaction and post-treatment. The process not only solves the problem that the bio-based raw material has many impurities, but also realizes the balance of environmental protection and economy through the green solvent (water), the efficient catalyst (Pd / C) and controllable parameter design, provides a feasible path for the industrial production of bio-based PTA, and promotes the transformation of the polyester industry to sustainable development. The method provided by the invention is high in impurity removal rate, can efficiently purify the bio-based CTA to obtain a product meeting the PTA standard, is mild in reaction condition, realizes low-energy-consumption and high-stability operation under efficient catalysis, is small in process pollution, and reduces the environmental load.

The invention discloses a marine fishery resource assessment method and system based on buoy sensing monitoring. Firstly, fishery resource change characteristics are analyzed by utilizing historical fishery resource monitoring data of a target sea area, and a monitoring period is determined according to the fishery resource change characteristics; hydrological parameter change data are obtained, and a hydrodynamic simulation model is established; an initial buoy sensing monitoring array is constructed by combining the effective monitoring range of sonar monitoring buoys; the array is imported into a hydrodynamic simulation model, and node displacement change information in a monitoring period is obtained; and finally, the buoy monitoring array is optimized according to a displacement change result, an optimized monitoring layout scheme is formed, and dynamic monitoring and scientific evaluation of the fishery resources in the target sea area are realized accordingly. According to the method, the rationality and monitoring precision of buoy layout can be improved, the hydrodynamic environment influence and the resource change rule are considered, and technical support is provided for sustainable development and management of marine fishery resources.

The invention provides a process for preparing high-purity lithium sulfide based on industrial waste salt recycling, which comprises the following steps: S1, mixing sulfur-containing waste salt and a waste carbon material, granulating, reducing, calcining, separating and purifying to obtain solid sodium sulfide; s2, mixing and ball-milling the obtained solid sodium sulfide and lithium chloride, adding a mixture of a catalyst and ethanol, and performing catalytic reaction to obtain a lithium sulfide crude product; and S3, purifying and drying the obtained lithium sulfide crude product to obtain the lithium sulfide. The method not only can break through the bottleneck of the existing production route, but also can realize the strategic direction of high-value utilization of bulk solid wastes, and has far-reaching significance for promoting sustainable development and green transformation of the battery industry.

The invention discloses beneficial fusarium oxysporum and application thereof in relieving apple continuous cropping obstacles, and belongs to the technical field of agricultural microorganisms. The biological preservation number of the fusarium oxysporum FoB1 disclosed by the invention is CGMCC (China General Microbiological Culture Collection Center) NO.42195. The fusarium oxysporum FoB1 disclosed by the invention is beneficial fusarium oxysporum, and has the advantages of excellent biocontrol function, strong environmental adaptability and high affinity with a host. By optimizing the preparation process of the microbial inoculant, the activity and stability of the inoculant are remarkably improved, and a high-quality bacterium source is provided for large-scale production. On the basis, a simple and convenient bacterium-bearing nursery stock application technology is developed, a novel efficient biological prevention and control way is provided for relieving apple continuous cropping obstacles, and important technical support is provided for promoting green and sustainable development of the fruit tree industry.

The invention discloses a low-temperature plasma cold sterilization and fresh-keeping method for a chilled poultry meat product, and particularly relates to a low-temperature plasma cold sterilization and fresh-keeping method for the chilled poultry meat product by virtue of low-temperature plasma activated water (PAW) and dielectric barrier (DBD). The method comprises the following steps: spraying and sterilizing the whole slaughtered and eviscerated poultry meat by virtue of PAW with the temperature close to the freezing point temperature of-1.5 to-2.5 DEG C of the product; the fresh-keeping method comprises the following steps: soaking the fresh-keeping materials in PAW at the temperature of less than or equal to-1.50 DEG C, cooling to the temperature of-1.5 + / -0.5 DEG C, cutting and packaging, carrying out DBD low-temperature plasma cold sterilization under the working voltage of 120-160 kV, and carrying out cold-chain logistics under the condition of the fresh-keeping temperature of-1.0 to-1.5 DEG C, so that the fresh-keeping period is prolonged from 4 days to 15 days. According to the method, PAW and DBD plasma cold sterilization and preservation are adopted at the temperature of the chilled products, the shelf life of the poultry meat chilled products is effectively prolonged on the premise of ensuring the freshness, safety and high quality of the poultry meat chilled products, and industrial innovation and sustainable development are promoted.

The invention provides a wetland ecological restoration effect comprehensive evaluation method and system, and belongs to the technical field of big data analysis. According to the method, real-time data of multi-dimensional ecological elements such as water turbidity, vegetation coverage density and soil acidity and alkalinity are collected, a multi-dimensional element correlation matrix based on time sequence correlation is constructed, and the dynamic change frequency of each element is captured. Core influence factors are screened by quantifying the contribution degree of each element to ecological restoration, weight distribution corresponding to clustered element clusters is determined, and then an accurate quantitative score is generated and mapped into a clear restoration condition level through multiplication and summation of inter-cluster correlation coefficients and weights item by item. Meanwhile, an evolution track is compared and analyzed by combining historical time sequence data, and the weight is dynamically adjusted to ensure that evaluation adapts to an actual repair process. The comprehensive, dynamic and accurate evaluation of the wetland ecological restoration effect is realized, scientific support is provided for the accurate adjustment of the restoration strategy, and the fine management of the wetland and the sustainable development of the natural environment are guaranteed.

The present invention relates to an optimization method for integrated joint scheduling of production and logistics in a flexible job shop (FJSP) having a plurality of different types of automated guided vehicles (AGVs). The invention belongs to the field of assembly workshop production scheduling. Comprising the following steps: 1) according to a special assembly workshop machine and AGV combined scheduling process, Tent chaotic mapping is adopted to initialize a scheduling scheme and encode the scheduling scheme; 2) performing iterative optimization adjustment on the scheduling scheme through an improved multi-target artificial bee colony algorithm; and 3) carrying out production scheduling by using the optimized scheduling scheme. According to the method, the maximum completion time and the total energy consumption are optimized at the same time, the production efficiency is concerned, the requirements of green manufacturing and sustainable development are also considered, and enterprises are helped to achieve cost reduction and efficiency improvement, especially in the production process sensitive to energy consumption.

The invention belongs to the technical field of high polymer materials, and particularly discloses a lignin-based charring agent containing silicon and nitrogen flame-retardant elements and an imine structure for flame-retardant polylactic acid and a preparation method of the lignin-based charring agent. The flame-retardant polylactic acid is prepared from the following components in parts by weight: 90 to 97 parts of polylactic acid, 1 to 3.33 parts of lignin-based charring agent and 2 to 6.67 parts of ammonium polyphosphate. The bio-based charring agent disclosed by the invention contains silicon and nitrogen flame-retardant elements and an imine structure, has remarkable charring and flame-retardant effects, is high in charring capacity, and can endow the PLA with relatively good flame-retardant property by compounding with ammonium polyphosphate and adding 1% of the lignin-based charring agent; the lignin and vanillin which are used as main raw materials for synthesizing the charring agent are bio-based sources and are easy to obtain, the production process is simple, industrial production is easy, the preparation process is non-toxic and environment-friendly, the dependence of charring agent synthesis on petroleum-based raw materials can be effectively relieved, and the sustainable development trend of materials is met.

The invention discloses a precise construction strategy of a dibenzothiophene sulfuryl covalent organic framework material and systematically explains efficient application of the dibenzothiophene sulfuryl covalent organic framework material in photocatalytic synthesis of thiadiazole and derivatives thereof. The achievement relates to a plurality of leading subjects such as catalytic chemistry, organic synthesis, material science, environmental engineering and green chemistry. According to the method, 2, 4, 6-triformyl phloroglucinol and 3, 7-diaminodibenzo [b, d] thiophene-5, 5-dioxide are taken as construction units, and the crystalline S-COF rich in sulfuryl active sites can be quantitatively obtained through topology-oriented Schiff base condensation under the conditions of protonic acid catalysis, no water and no oxygen. Under the radiation condition of visible blue light, S-COF is used as a heterogeneous photocatalyst to drive green synthesis of 3, 5-di-p-tolyl-1, 2, 4-thiadiazole and series of derivatives thereof; the invention provides a new catalyst design normal form for light-induced organic conversion, and lays a solid foundation for sustainable development-oriented efficient synthesis chemistry.

The invention discloses a forest tree genotype-environment interaction modeling method based on multi-modal deep learning, and relates to the technical field of forest tree breeding, the method comprises the following specific steps: multi-modal data acquisition: adopting a high-throughput phenotype platform, a whole genome sequencing technology and soil nutrient detection equipment to acquire multi-modal data; sNP locus genotype data, soil key physicochemical index environmental data and growth-related morphology and biomass parameter phenotype data of forest trees are collected respectively; forest genotype, environment and phenotype multi-modal data are collected through the system, the genotype-environment interaction algorithm and the phenotype prediction model are constructed after preprocessing and fusion, the model can accurately predict forest phenotypes, the breeding screening period is remarkably shortened, the breeding selection precision and efficiency are greatly improved, and the method is suitable for large-scale popularization and application. The method effectively solves the problem that a traditional breeding mode is short in time and efficiency, enables breeding work to respond to market demands and environmental changes more quickly and accurately, and provides powerful support for sustainable development of the forestry industry.