3880 results about "Biomass" patented technology

The invention provides a multi-fusion seaweed field ecosystem observation method, system, device and medium, and belongs to the technical field of ecological monitoring, the method comprises the following steps: obtaining chlorophyll a concentration, seaweed canopy spectrum and three-dimensional biomass point cloud; aligning the chlorophyll a concentration of the target sea area with the seaweed canopy spectrum, and fusing the three-dimensional biomass point cloud to generate a three-dimensional biomass model; constructing an in-situ sampling network to monitor water quality parameters, benthic organism video streams and eDNA metagenome sequencing data, calibrating a three-dimensional biomass model, executing anomaly detection through a lightweight LSTM model, and identifying benthic organism species in real time through an improved YOLOv5 model; constructing a graph neural network, outputting a carbon sink prediction value, generating a brown tide early warning signal when the carbon sink prediction value is lower than a dynamic threshold value, optimizing a patrol path of the unmanned aerial vehicle based on reinforcement learning, and improving the sampling frequency of the water quality sensor. According to the invention, multi-fusion monitoring of the seaweed field is realized, the ecological condition is accurately evaluated, and abnormity is warned in advance.

The invention discloses a regional scale crop nitrogen dynamic regulation and control method and device. The method comprises the following steps of obtaining multi-source data and constructing a space-time database; selecting a crop growth model, and calibrating and verifying the crop growth model based on the space-time database to obtain the crop growth model and generate a localized model parameter set; dividing a target area into space units, inputting soil data, meteorological data and a localized model parameter set of each space unit to a crop growth model, simulating crop growth processes of different nitrogen gradients, extracting optimal biomass and critical nitrogen concentration data point pairs of each space unit, and performing fitting to generate a spatialized pCNDC parameter map layer; inverting an actual biomass and nitrogen concentration spatial distribution map based on remote sensing data, calculating critical nitrogen concentration and nitrogen nutrition index of each spatial unit in combination with a pCNDC parameter map layer, and generating a spatial distribution map; when the nitrogen nutrition index is lower than a preset threshold value, the nitrogen deficiency amount is calculated, and a variable fertilization prescription map is generated.

The invention provides a special charcoal-based slow-release fertilizer for sandy soil as well as a preparation method and application thereof, and belongs to the technical field of fertilizers. The special charcoal-based slow-release fertilizer for the sandy soil is prepared from amino modified biomass charcoal, urea, urea formaldehyde, monoammonium phosphate, potassium sulfate, polyglutamic acid, fulvic acid, clay, attapulgite, a compound microbial agent and sodium alginate. The compound microbial agent is prepared from halomonas (ACCC 11681), bacillus subtilis (ACCC 60429) and bacillus mucilaginosus (ACCC 10094), and the compound microbial agent is prepared from bacillus subtilis (ACCC 60429) and bacillus mucilaginosus (ACCC 10094). The invention further provides a preparation method and application of the special charcoal-based slow-release fertilizer for the sandy soil. The special charcoal-based slow-release fertilizer for the sandy soil can remarkably improve the water and fertilizer retention capacity of the sandy soil, improve the farmland productivity of the sandy soil, save fertilizer and water input and improve the yield and quality of crops.

The invention relates to the technical field of intelligent agriculture, in particular to an intelligent disease and pest monitoring and prevention system which comprises an environment self-adaption module, a spectrum collection module, a dynamic threshold value analysis module, a prevention decision module, an execution terminal and a data storage module. A polarization filter is adopted to suppress reflection of light on the blade surface to obtain a spectrum fusion image; the dynamic threshold value analysis module is used for establishing a dynamic proportion threshold value of the insect spot area and the medicinal material biomass by adopting a U-Net network in combination with a growth cycle recognition algorithm so as to obtain graded insect pest evaluation parameters; and the prevention and control decision module is used for combining the graded insect pest evaluation parameters with the environmental parameter set and generating a prevention and control scheme by adopting a pesticide application decision tree model based on northern climate characteristics. According to the invention, through dynamic environment adaptive adjustment and northern climate optimization pesticide application decision, efficient and accurate prevention and control of diseases and insect pests in a complex agricultural environment are realized.

The invention belongs to the technical field of microorganisms, and provides a growth-promoting P.adami M6 and application thereof, the P.adami M6 is preserved in the China Center for Type Culture Collection, the preservation number is CCTCC No: M20242835, the preservation date is December 18, 2024, the preservation number is CCTCC No: M20242835, the preservation number is CCTCC No: M20242835, the preservation number is CCTCC No: M20242835, and the preservation number is CCTCC No: M20242835. The strain is separated from rhizosphere soil of field planting foxtail millet in the Inner Mongolia red peak area, and is obtained through artificial separation and purification; the strain has the growth promoting characteristics of nitrogen fixation, phosphorus dissolution, IAA production and siderophore production; the M6 fungicide is used for inoculating millet, so that the growth of millet seedlings can be obviously promoted, and the plant height, the root length and the overground part and underground part biomass of the millet are obviously increased; m6 is used as a microbial agent to soak seeds during sowing and irrigate a bacterial liquid once 7 days after sowing, so that the growth effect of millet is best.

According to the invention, biomass rice hull ash and a sodium hydroxide solution are reacted to obtain water glass and carbon mud. And reacting the water glass with CO2 generated by calcining the limestone to produce a white carbon black product and a mixed waste liquid of sodium carbonate and sodium bicarbonate. Meanwhile, quick lime obtained by calcining limestone is digested and then reacts with sodium carbonate and sodium bicarbonate mixed waste liquid to generate a light calcium carbonate product and dilute sodium hydroxide waste liquid. And finally, the dilute sodium hydroxide waste liquid is concentrated and reused for water glass production, so that the waste liquid is recycled, and a complete process closed loop is formed. According to the process method disclosed by the invention, two leading-edge innovative processes, namely production of white carbon black by renewable resource biomass rice hull ash and production of white carbon black by a carbonization method, are organically combined and are coupled with production of light calcium carbonate by a limestone calcination process, so that the problem that a large amount of sodium sulfate-containing wastewater is discharged in a traditional process is solved; meanwhile, the carbon footprint of white carbon black and calcium carbonate products is greatly reduced.

A method of estimating an amount of a sequestered carbon-based constituent in a volume of soil that includes taking a core soil sample of a sample volume of soil proximate at and below a root system associated with carbon soil accumulation from a biomass. The core sample is taken at a depth extending from an earthen surface, the depth having a depth range. The core sample is tested to provide a data set.

The invention discloses a carbon sink dynamic prediction method, device and equipment based on multi-source remote sensing space-time fusion and three-dimensional point cloud deep learning and a storage medium, and relates to the technical field of remote sensing information processing and ecological environment monitoring, and the method comprises the steps: obtaining space-time fusion data, a vegetation point cloud inversion algorithm and a carbon sink prediction hybrid model; extracting three-dimensional point cloud biomass based on the vegetation point cloud inversion algorithm and the space-time fusion data, and determining vegetation parameter information; and predicting a carbon sink change trend based on the vegetation parameter information and the carbon sink prediction hybrid model, determining a carbon sink prediction result, and controlling a system to complete disaster assessment and risk early warning based on the carbon sink prediction result. According to the method, multi-source remote sensing space-time fusion is carried out to eliminate the space-time resolution difference, the three-dimensional point cloud biomass is extracted, the carbon sink change trend is predicted to realize disaster assessment and risk early warning, the multi-source data fusion precision and the vegetation parameter inversion accuracy are effectively improved, and the method has remarkable environmental benefits and social values.

The invention relates to a forest cultivation dynamic monitoring method and system based on a remote sensing technology, and the method comprises the steps: collecting point cloud and multi-source topographic data of a complex topographic region through the fusion of an airborne laser radar and a satellite radar technology, and generating a high-precision point cloud and topographic parameter matrix through denoising and registration; a segmentation threshold value is dynamically optimized in combination with topographic features, the canopy point cloud penetration rate of abrupt slope and valley areas is improved, and the problem of canopy missegmentation caused by uneven point cloud density under a complex terrain is solved; constructing a penetration rate compensation model driven by terrain influence factors, correcting laser radar point cloud deviation and inverting high-precision tree height, crown breadth and biomass parameters; and based on fusion analysis of the multi-temporal vegetation index and a machine learning model, early warning of diseases and insect pests and fire hazards and dynamic evaluation of a man-made forest cultivation effect are realized. According to the method, the bottleneck of complex terrain monitoring is broken through, the forest parameter inversion precision and the real-time response capability are remarkably improved, and technical support is provided for precise management of forestry resources.

The invention discloses a Burkholderia gladioli (Burkholderia gladioli) CT-5 strain and an application of the Burkholderia gladioli CT-5 strain, and relates to the technical field of microorganisms. The strain is preserved in the China Center for Type Culture Collection, the preservation number is CCTCC NO: M20242732, and the preservation date is December 05, 2024. The Burkholderia gladioli (Burkholderia gladioli) CT-5 provided by the invention has a remarkable prevention and treatment effect (Plt, Plt) on idesia root rot caused by Fusarium solani (Fusarium solani), and the Burkholderia gladioli (Burkholderia gladioli) CT-5 has a remarkable prevention and treatment effect on idesia root rot caused by Fusarium solani (Busarium solani). The compound has the advantages that the compound can be used for inhibiting pathogenic bacteria of various plants, and the compound can be used for inhibiting pathogenic bacteria of various plants, such as Schizophyllum commune, Diaporthe erens, Colletotrichum acutatum and the like, and has a remarkable inhibiting effect on other various plant pathogenic bacteria such as the Schizophyllum commune, the Diaporthe erens, the Colletotrichum acutatum and the like. In a pot experiment, the biomass, soil nutrients, SOD, POD and CAT enzyme activities of idesia polycarpa seedlings in a CT-5 treatment group are remarkably improved compared with those of a pathogenic bacteria control group (FP) (Plt; 0.05), which indicates that the strain can promote plant growth and activate the activity of defensive enzyme in the body, so that effective control of idesia root rot is realized, and powerful theoretical basis and technical support are provided for sustainable development of idesia.

The invention relates to a habitat restoration-oriented sediment elution critical threshold evaluation method. The method comprises the following steps: introducing form classification including an exchange state, a carbonate binding state, an iron and manganese oxide binding state, an organic binding state and a residue state; a dynamic disturbance response mechanism is fused, and the elutable proportion is re-evaluated under the conditions of flow velocity, pH, oxidation reduction potential Eh and change; calculating a potential active flux index PAFI to quantify a real releasable part of the pollutants in the bottom mud; establishing pollution flux and biological response time sequence data; depicting ecological response sensitive inflection points by using nonlinear fitting; extracting an ecological function critical damage point EBCP as an ecological constraint upper limit of the elution threshold; constructing a habitat bearing factor set comprising a water body volume ratio, submerged vegetation density and benthic organism biomass; introducing a bearing feedback coefficient CFC, and dynamically correcting a pollutant critical flux value; and outputting a loadable elution flux interval for judging whether the ecological risk red line is touched or not.

The invention relates to the technical field of mesoporous carbon material preparation, in particular to a high-temperature mesoporous carbon preparation method which comprises the following steps: S1, mixing a metal halide and an inorganic hydrogen bond donor, and heating and stirring until a solution is clear to obtain an inorganic eutectic solvent; s2, mixing the inorganic eutectic solvent and a biomass raw material for reaction; s3, filtering and washing the material obtained in the step S2; and S4, carbonizing the material obtained in the step S3 in a high-temperature inert atmosphere to obtain the high-temperature mesoporous carbon. According to the method, the wood fiber biomass such as the lowest-value straw, the lowest-value bamboo and the lowest-value wood dust is directly used as raw materials, component separation does not need to be conducted on the wood fiber biomass, and high-value utilization of a large amount of low-value wood fiber biomass can be achieved. The method is relatively simple in process, relatively mild in condition and relatively high in product yield, and an activating agent does not need to be used. The biomass mesoporous carbon prepared by the method also has a high specific surface area in a huge mesoporous volume state, and the specific capacitance in an alkaline electrolyte exceeds 260F / g.

The invention discloses a preparation process of a soil conditioner and application of the soil conditioner in soil improvement, and the preparation process comprises the following steps: S1, preparation of pretreated biomass; s2, preparation of composite biochar; s3, preparation of sulfhydrylated biochar; s4, preparing the modified composite biochar; and S5, uniformly mixing the modified composite charcoal, kaolin, humic acid, fly ash, slaked lime and vermiculite to obtain the soil conditioner. According to the soil conditioner, modified composite biochar prepared through specific functionalization is blended with kaolin, humic acid, fly ash, slaked lime and vermiculite according to a certain proportion, and the prepared soil conditioner has unique advantages in the aspects of improving soil organic matter, fixing carbon, providing microelements and especially regulating and controlling the activity of soil microorganisms; advanced complementation and synergistic interaction of all the components are achieved, and the comprehensive treatment requirement of complex degraded soil can be better met.

The invention relates to the technical field of soil function improvement, in particular to a rice field soil recarburization and capacity expansion method based on a charcoal-based organic fertilizer. The method comprises the following steps: crushing a biomass raw material, pyrolyzing and cooling to obtain biochar; immersing the biochar in a functional bacteria solution containing actinomycetes and bacillus for activating treatment to obtain modified biochar; mixing the modified biochar and decomposed straw, composting and fermenting to obtain organic fertilizers with different particle sizes; the large-particle-size organic fertilizer is applied to deep soil, the soil is covered with soil after straw is laid on the soil, and the small-particle-size organic fertilizer is applied to surface soil. Through layered application, the large-particle-size biochar repairs the deep soil structure and expands the carbon storage capacity, and meanwhile, the carbon stability is improved through carbon-nitrogen synergistic metabolism driven by functional bacteria, so that the carbon immobilization efficiency is improved, meanwhile, soil recarburization and expansion are achieved, the contradiction between carbon sequestration and structure degradation and nutrient imbalance in a traditional recarburization and expansion technology is solved, and the soil recarburization and expansion efficiency is improved. Synergic improvement of a carbon sink function and agricultural productivity is promoted.

The invention provides a nitrogen-doped biomass-based fluorescent carbon quantum dot, a preparation method and application, and relates to the technical field of carbon nanomaterials, the method comprises the following steps: mixing a biomass material and deionized water under an ultrasonic condition, adding a nitrogen source, and carrying out ultrasonic dispersion to obtain a uniformly dispersed to-be-reacted solution; reacting the to-be-reacted solution at a preset temperature for a preset time to obtain a mixed product solution; and filtering and dialyzing the mixed product solution to obtain the nitrogen-doped biomass-based fluorescent carbon quantum dot solution. The nitrogen-doped biomass-based fluorescent carbon quantum dot prepared by the method shows a stable fluorescent effect and good water solubility, the free radical clearance rate can reach 90% or above, and the antibacterial rate can reach 99% or above. The method can be used in the fields of drug sustained release, bioimaging and the like.

The invention relates to the technical field of ecological restoration and carbon sink evaluation, and discloses a river and lake ecological buffer zone carbon sink potential evaluation and restoration construction system which comprises a carbon sink potential evaluation module, an intelligent restoration construction module and a collaborative verification module. The carbon sink potential evaluation module is used for collecting soil and vegetation data and calculating the carbon sink potential; the intelligent restoration construction module executes ecological restoration based on a carbon sink potential evaluation result; and the collaborative verification module verifies the repair effect through multi-source data fusion, and returns an optimization instruction to the carbon sink potential evaluation module and the intelligent repair construction module. The vegetation coverage index and the root biomass density are acquired by using a multispectral sensor array, a carbon sink model is constructed by combining the organic carbon content of soil, dynamic weight adjustment is introduced, and the weight is updated according to aerial survey data of an unmanned aerial vehicle in each quarter, so that a more accurate and more economical carbon sink potential evaluation basis can be provided for ecological restoration, and the ecological restoration efficiency is improved. And resource waste and invalid repair are avoided.

The invention discloses a method for evaluating enhancement and release seedling resources based on environmental DNA polymerization analysis. The method comprises the following steps: carrying out gridding partition on a target water area, collecting a water sample through a designed sampling scheme, and carrying out DNA extraction and high-throughput sequencing to obtain species sequence information of each sampling point. Sequencing data is subjected to species identification by using a bioinformatics method, released species are identified, a spatial abundance model is established, and a preliminary distribution map is generated. And establishing a DNA degradation kinetic model in combination with water area environmental parameters, and carrying out reverse correction on abundance distribution. And through a resource inversion model coupled with hydrodynamics, analyzing biomass distribution characteristics and migration laws of the release group, and obtaining a resource evaluation result. And finally, a species environment preference model is constructed based on migration path analysis, an optimal release area is matched in a target water area, a scientific scheme including release point locations, opportunities and quantity is generated, and a whole-process technical support and a decision basis are provided for enhancement and release.

The invention discloses a method for estimating plant biomass based on map multi-modal feature extraction and fusion. The method comprises the following steps: acquiring a plant RGB image and a multi-spectral image; inputting the preprocessed RGB image and NIR wave band image into a double-model cooperation segmentation framework to realize image segmentation; binary image features, color features, texture features, reflectivity and the like are calculated, feature splicing is carried out, and high-dimensional features are constructed; carrying out dimension reduction on the high-dimensional features; and training a deep neural network through the effective features and the biomass to realize biomass estimation. According to the method, a zero sample learning-based double-model cooperation segmentation framework is utilized to realize accurate segmentation of a single plant on the premise that a large number of training sets are not needed; multi-modal feature information is extracted based on the segmented single plant image, an improved SHAP model is introduced to reduce the feature space dimension, and the inversion precision and the operation efficiency are improved while the information effectiveness is ensured; through a high-precision deep neural network model, rapid, lossless and accurate biomass acquisition is realized.

The invention provides a method for preparing an edible mushroom culture medium from agricultural waste biomass and application, and belongs to the technical field of agricultural resource utilization and edible mushroom culture. The edible fungus culture medium provided by the invention is prepared from the following components in parts by mass: 10 to 20 parts of wood dust, 15 to 30 parts of sawdust, 15 to 30 parts of corn straw, 20 to 30 parts of algae waste, 30 to 50 parts of cottonseed hull, 3 to 10 parts of chitosan, 3 to 10 parts of humic acid, 1 to 3 parts of gypsum, 1 to 3 parts of lime and 0.3 to 1 part of compound strain. By adopting the edible mushroom culture medium disclosed by the invention, the yield and the quality of mushrooms can be remarkably improved, and the quality of the mushrooms is effectively improved due to the addition of the algae waste, the humic acid and the chitosan. Meanwhile, the edible mushroom culture medium can also be used for cultivating other types of edible mushrooms such as oyster mushrooms and pleurotus eryngii, and the yield of the edible mushrooms is increased.

The invention relates to the technical field of chemical automation control, and discloses an intelligent closed-loop control system for producing p-dichlorobenzene by a biomass method, which comprises a signal acquisition module, a residence time reconstruction module, a thermal coupling analysis module, a parameter self-adaptive scheduling module and an execution control module. The rheological characteristics of raw materials are monitored by collecting the current of a stirring motor, the liquid level is dynamically increased through a retention time reconstruction module to prolong the retention time of the materials, and a liquid level periodic migration strategy is introduced to prevent scaling of a gas-liquid interface; the thermal coupling analysis module and the parameter self-adaptive scheduling module are used for calculating thermal retardation post factors, temperature control parameters are corrected in real time, the upper limit of cooling output is limited, inner wall supercooling crystallization is prevented, and the problems that the conversion rate is reduced, the heat transfer efficiency is reduced and equipment is hung on the wall due to viscosity fluctuation of biomass raw materials are effectively solved. And the self-adaptive stable control of the reaction process is realized.

The invention relates to the field of fermentation processes, in particular to a method for preparing 1, 4-butanediol through multi-strain synergistic fermentation, which comprises the following steps: inoculating a first strain and a second strain into a culture medium containing glucose and / or xylose for synergistic fermentation, producing ornithine by the first strain by taking glucose and / or xylose as a substrate, and converting ornithine into 1, 4-butanediol by the second strain. The invention discloses 1, 4-butanediol. Glucose is converted into ornithine through the first strain, ornithine is converted into 1, 4-butanediol through the second strain, the first strain and the second strain are subjected to synergistic fermentation, preparation of 1, 4-butanediol through microbial synergistic fermentation is achieved, and higher metabolic capacity and higher production efficiency are achieved. The mixed sugar of xylose and glucose prepared from biomass raw materials is used as a substrate for fermentation, so that the method has the advantages that the raw materials are easy to obtain, renewable and low in cost, and the production cost can be reduced.

The invention provides a biochar composite porous material for heavy metal contaminated soil remediation and a preparation method and application of the biochar composite porous material. The preparation method comprises the steps that biomass raw materials are subjected to high-temperature pyrolysis carbonization and then smashed, ground and sieved, and biochar powder is obtained; dispersing in a phosphoric acid solution to obtain a biochar solution, and filtering, washing and drying after a hydrothermal activation reaction to obtain activated biochar; dispersing in a chitosan solution, carrying out ultrasonic oscillation, filtering, washing and drying to obtain modified charcoal; mixing sodium bentonite, attapulgite and deionized water, uniformly mixing the modified charcoal, the functional slurry and a sodium carboxymethyl cellulose solution to obtain composite slurry, performing compression molding to obtain a green body, and then drying and calcining the green body. The biochar composite porous material prepared by the invention can simultaneously play multiple roles of physical adsorption, chemical chelation, ion exchange and the like in a heavy metal contaminated soil treatment process, so that efficient fixation of various heavy metal ions is realized.

Disclosed herein is use of miR528 in production and breeding of gramineous forage grasses. By down-regulating the expression and / or function of miR528, the present invention can significantly enhance the tillering and / or regeneration capacity of the gramineous forage grasses, which is conducive to the biomass accumulation of the gramineous forage grasses, and the breeding of new gramineous forage grass subspecies with enhanced tillering and / or regeneration capacity.

The invention relates to the field of plant gene map-based cloning and molecular breeding. Specifically, the invention provides a nucleic acid molecule and a polypeptide, and also provides a recombinant vector, a host cell and a plant or a part, a seed, a cell or a progeny thereof containing the nucleic acid molecule. Furthermore, the invention also provides a method for preparing the transgenic plant, and a method for regulating and controlling the nitrogen utilization efficiency, nitrate absorption or transport, biomass and / or yield of the plant.

The invention discloses an intelligent sewage treatment method and system based on data fusion, and relates to the technical field of sewage treatment.The intelligent sewage treatment method and system have the advantages that compared with a traditional monitoring mode depending on a single index, key parameters such as pollutant types, sludge volume indexes and filamentous bacterium biomass are integrated, comprehensive pollution load indexes are generated in combination with a dynamic normalization algorithm, and the comprehensive pollution load indexes are calculated; the coupling effect of organic matter impact and filamentous bacterium activity can be recognized more accurately, misjudgment of a single parameter is avoided, regulation and control can be started at the initial stage of exceeding the standard of the filamentous bacterium activity coefficient through a preset threshold triggering response strategy, compared with a mode that traditional microscopic examination lags for 4-8 hours, the response speed is effectively increased, and the detection efficiency is improved. Meanwhile, floc structure recovery serves as a termination condition, carbon source waste caused by excessive adjustment can be avoided, and the system recovery period is shortened by 30%.

The invention relates to a mixed scale optimization regulation and control method and device for rural energy and a storage medium, and belongs to the technical field of new energy. According to the method, layered optimization is carried out by establishing a monthly time scale optimization scheduling model, a day-ahead time scale optimization scheduling model and an intra-day time scale optimization scheduling model which are connected with one another, and long-term economic planning and medium-short-term operation scheduling are organically combined, so that multi-target collaboration and multi-energy complementation are realized; specifically, through monthly optimization, an optimal purchase and inventory strategy can be formulated according to seasonal price fluctuation of biomass, the fuel cost is remarkably reduced from the source, and the overall economical efficiency of the system is improved; through a day-ahead gas storage plan and intra-day real-time scheduling, the fluctuation and intermittency of wind energy and solar energy power generation can be effectively stabilized by utilizing the stability and controllability of biomass power generation, and the power load demand can be stably met under various working conditions, so that the stability and reliability of power supply are enhanced, and the energy consumption is reduced. And on-site efficient consumption of rural renewable energy sources is promoted.

The invention discloses a self-adaptive optimization control system and method for the combustion process of a biomass generator set. The self-adaptive optimization control system comprises a multi-dimensional sensing array module, an edge calculation module, a self-adaptive decision server, an execution mechanism cluster and a closed-loop verification terminal. The multi-dimensional sensing array module comprises a temperature field monitoring unit, a flue gas component analysis unit and a fuel characteristic detection unit; a data fusion processor is arranged in the edge calculation module; the self-adaptive decision-making server carries a dual-module decision-making engine; the executing mechanism cluster comprises a frequency conversion fan, a precise feeding machine and an adjustable fire grate. Through multi-source sensing data fusion and a self-adaptive decision-making mechanism, real-time response to biomass component fluctuation and load change is achieved, and the combustion efficiency is improved; a deep learning prediction model is combined, the air-coal ratio and the hearth temperature set value are adjusted in advance, and CO emission is reduced; the manual intervention frequency is reduced through an optimization mechanism, and the equipment maintenance period is prolonged.

This invention discloses a microbial inoculant for controlling peanut root rot and its preparation method, belonging to the field of microbial materials technology. This invention screened and obtained a *Trichoderma harzianum* strain with highly efficient inhibitory effects against the pathogen causing peanut root rot. Firstly, the strain itself exhibits antagonistic activity against the peanut pathogen. Secondly, it was prepared as a spore suspension and fermented in solid-state with rice husks and wheat bran. During the solid-state fermentation process, the metabolites produced by *Trichoderma harzianum* promote the growth and development of plant roots, increasing plant biomass and yield. This microbial inoculant effectively controls peanut root rot, exhibiting good inhibitory effects against the pathogen, thus improving peanut quality and disease resistance. Furthermore, it improves soil ecological activity to a certain extent, making it worthy of application and promotion.

The application discloses a kind of derived biomass hard carbon material pulverization process, belong to biomass charcoal material processing technical field, first, pulverization process includes the following steps: after drying, the coconut shell derived hard carbon block is carried out primary crushing, while spraying first modifier, obtain the particle size 1~3mm of coarse crushing modified particle;Coarse crushing modified particle is carried out secondary precision crushing under argon atmosphere, while spraying second modifier, obtain the precision crushing modified particle of D 50 Particle size is 15 μm;Precision crushing modified particle is carried out roll grinding spheroidization, while spraying third modifier, obtain the spherical modified particle of D 50 Particle size is 10 μm;Spherical modified particle is carried out flash drying after cooling, then add magnesium stearate to it, after mixing, obtain derived biomass hard carbon material.Then, the application realizes breakthrough in tap density, particle size distribution, first efficiency and other core indexes by the coordination of three-stage gradient modification and progressive pulverization process.