118 results about "Plant production" patented technology

The invention discloses a multi-dimensional data monitoring and collaborative management and control method and system for a plant intelligent factory, and belongs to the technical field of collaborative control, and the method specifically comprises the steps: collecting multi-dimensional data of the plant intelligent factory in real time, the multi-dimensional data comprising plant physiological parameters, environmental factor parameters, nutrient solution parameters and equipment and operation state parameters, and based on the multi-dimensional data, constructing a dynamic multi-level causal association model among equipment, plant physiology, environment and operation, identifying a potential cooperative influence path in an abnormal state, and automatically performing cross-level management and control when an abnormality is detected or a growth process is predicted to deviate from a trend. The cross-level management and control instructions are distributed to an equipment level, a cultivation unit level and a workshop level according to levels, and multi-link linkage regulation and control are carried out on the intelligent plant factory; according to the method, by establishing a causal association and path cooperation mechanism, regulation and control are more accurate, flexible and adaptive, and the stability, resource utilization rate and intelligent level of plant production are effectively improved.

The invention discloses a power plant production data real-time question answering and early warning method based on a multi-modal large model, and the method comprises the following steps: collecting image, time sequence and text data in the operation process of a power plant, fusing multi-modal information through a Perciver IO model, and generating time-synchronized semantic vector representation for dynamically monitoring state changes and constructing task query. Historical annotation events are modeled in combination with the Hawkes process, the time sequence induction relation between the events is captured, the future risk intensity is calculated, and the query generation and decoding process is optimized in combination with initial output, so that an enhanced question and answer and early warning result is generated. Meanwhile, an abnormal causal chain is constructed through event path contrastive analysis, and closed-loop feedback and optimization of system response are achieved. According to the invention, dynamic identification and intelligent response to complex working conditions are realized, and the intelligent level of operation and maintenance of a power plant is enhanced.

The invention relates to the technical field of power plant data processing, and discloses a power plant abnormal data processing method based on a knowledge graph, which comprises the following steps: identifying entities and relationships from structured and unstructured data by utilizing a knowledge graph structured knowledge representation method of the knowledge graph; a complex data association relationship in power plant production is comprehensively captured and expressed, meanwhile, the occurrence condition of abnormal data is matched by utilizing knowledge fusion of a knowledge graph, and a corresponding reference processing method is provided; according to the method, more accurate operation data analysis is realized, and the processing strain capacity of abnormal conditions of the basic-level power plant is improved.

The present disclosure provides a method for producing a polyisoprenoid, which makes it possible to synthesize in vitro a polyisoprenoid having an unprecedented structure, such as a 100% cis-polyisoprenoid or a polyisoprenoid containing an allylic diphosphate derivative as an initiating terminal. The present disclosure relates to a method for producing a polyisoprenoid in vitro, which employs a gene coding for a neryl diphosphate synthase and rubber particles bound to a protein encoded by the gene, or a method for producing a polyisoprenoid, which includes introducing into a plant a vector in which a gene coding for a neryl diphosphate synthase is linked to a promoter having a promoter activity that drives laticifer-specific gene expression to express a protein encoded by the gene specifically in laticifers.

The invention relates to the technical field of industrial digital twinning, and discloses a factory production monitoring method and system based on digital twinning, and the method comprises the steps: collecting the operation characteristic parameters of an entity production line and the simulation parameters of a digital twinning model, and constructing an entity-virtual mapping data set; calculating a structure coupling deviation rate and a time phase drift rate based on the time-structure mapping matrix; determining virtual-real mismatch types including a local lag type, a synchronous drift type and an energy reverse type according to the combination relation of the two types; performing regional response correction, time phase compensation or energy inversion correction for different types of mismatch; the correction result is fed back to the digital twin model to generate a corrected virtual operation curve, the stability index of the model is calculated, when the stability index does not reach a convergence interval, the deviation analysis and mismatch recognition steps are repeatedly executed, and dynamic coordination and high-precision production monitoring between the virtual model and the real model are achieved. According to the method, the dynamic coordination and high-precision production monitoring capability between virtual and real models is improved.

The invention relates to the technical field of thermal power plant abnormal data processing, in particular to a thermal power plant production monitoring system network security data set abnormal data identification and cleaning method, which comprises the following steps: mapping a spatial-temporal feature vector to a preset thermal power plant multi-level causal graph to obtain a data causal graph; performing information propagation and node updating on the data causal graph, and calculating an abnormal score of each node in a preset thermal power plant multilevel causal graph; identifying abnormal data according to the abnormal score and the network security data set; and cleaning the abnormal data according to the abnormal type and a preset data cleaning strategy. According to the method, correlation modeling of data on time and a system topological structure is realized through a multi-level cause and effect graph; an abnormal score is calculated through information spreading and node updating, and an abnormal event in the network security data can be accurately identified; the abnormal data is cleaned based on the preset data cleaning strategy, redundant, wrong and abnormal data can be effectively removed, and meanwhile key risk information is reserved.

Methylobacterium strains that enhance early growth of plants, improve propagation / transplant vigor, increase nutrient uptake, improve stand establishment, improve stress tolerance, and / or increase a plant's ability to utilize nutrients are provided herein. Also provided are methods to identify Methylobacterium strains that improve nitrogen use efficiency in various crop plants.

The invention belongs to the technical field of microorganisms, and particularly discloses a phytobacterium pentosus HHTMQ4010-1 and application of the phytobacterium pentosus HHTMQ4010-1. The lactobacillus pentosus HHTMQ4010-1 is separated and screened from pickled Chinese cabbage water, can produce gamma-aminobutyric acid, promote plant production and increase plant yield, and has great development and application prospects in the fields of food, health care products, medicines or agriculture.

A method for producing a plant with flowering-time regulation, the method comprising introducing a mutation into the EMF3 gene in a plant.

To provide a cultivation cup which improves the quality and productivity of a plant produced by hydroponics and is excellent in handleability, and to provide a method for producing the plant.SOLUTION: The cultivation cup 1 is used for hydroponics of a plant such as lettuce, and has a support part 2 for supporting the plant and a medium attaching part 3 to which a sponge medium 20 is attached. The support portion 2 has a first internal space 7 that is surrounded by the first peripheral wall 5 and is open at the top and bottom. One or a plurality of openings 8 are provided in the first peripheral wall 5, and the inside and outside of the support portion 2 communicate with each other through the openings 8. The culture medium-mounting part 3 has a second inner space 15 surrounded by a second peripheral wall 12 and opened at the top and bottom. The lower side of the support part 2 and the upper side of the medium-mounting part 3 are connected, and the first internal space 7 and the second internal space 15 communicate with each other SELECTED DRAWING: Figure 1

The invention relates to the technical field of agricultural management, in particular to a digital agricultural automatic control management system, which comprises the following steps of: acquiring a plant production condition picture in a region by using a satellite, segmenting the picture, dividing the picture into different regions, numbering the regions, and storing the numbered regions into a database; utilizing a GPS positioning technology to match farmland data sensors into the divided areas; obtaining a plant growth image training set, establishing a plant growth prediction model of an ST-LSTM architecture, and inputting the plant growth images into the prediction model to obtain a trained model; the method comprises the steps that a satellite picture is divided for three times, the divided picture is input into a trained model, a plant growth state prediction result is obtained, a plant growth model is compared according to the plant growth state prediction result, the plant growth state is judged, a corresponding area is matched according to the result, and nutrients are supplemented in time according to data. Pictures are finely divided, so that the soil condition of each planting area is conveniently obtained, and a corresponding cultivation scheme is provided.

The invention discloses a photovoltaic base biomass energy plant selection method and application thereof, and aims to solve the problem of land resource shortage in current thermal power plant energy transformation and renewable energy utilization based on the condition of combination of photovoltaic power generation vegetation lacking and energy plant planting. The feasibility of ecological restoration and biomass energy plant production by planting energy plants in a photovoltaic base is researched, a model plant screening standard is established by indexes such as strong stress resistance, drought tolerance, shade tolerance, carbon content and cellulose content, and the growth performance, self population update and influence of perennial energy plants on the photovoltaic base are investigated. The interaction mechanism between the photovoltaic base and crops is analyzed, the improvement effect of different planting modes on the land production efficiency is analyzed, the growth effect of different plants is evaluated, the optimal configuration scheme of energy plants planted in the photovoltaic base is determined, and an efficient photovoltaic-agricultural comprehensive utilization mode is constructed. The double improvement of economic benefits and ecological benefits is realized.

The invention provides a low-temperature absorption and adsorption coupling recovery treatment process for VOCs (volatile organic compounds) oil gas in a tank field, and relates to the technical field of VOCs treatment, which comprises the following steps: (1) low-temperature absorption: the VOCs oil gas in the tank field enters an absorption tower and is contacted with an intermediate material absorbent of a factory production device at-5-15 DEG C, and 80-90% of non-methane total hydrocarbon and organic sulfide are removed; (2) adsorption and removal: the absorbed oil gas enters an adsorption unit with three tanks connected in parallel, residual hydrocarbons are deeply removed through an adsorbent, and the hydrocarbon concentration of outlet tail gas is smaller than or equal to 60 mg / m; through the synergistic effect of low-temperature absorption and adsorption, various organic components in the VOCs oil gas in the tank field can be deeply captured, non-methane hydrocarbon can be efficiently removed, refractory components such as organic sulfide can be treated in a targeted manner, available resources in the oil gas are ensured to be fully recycled, and loss of valuable components is avoided.

Methods and materials for modulating biomass composition in plants are disclosed. For example, nucleic acids encoding biomass composition-modulating polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having altered biomass composition and plant products produced from plants having altered biomass composition.

The invention relates to a discrete manufacturing workshop production simulation modular modeling method, which comprises the following steps of: establishing a modular model of production elements, and setting in functional attributes and a control method; establishing a modular model of a product, and setting in technological process attributes; based on the workshop layout, taking out a corresponding production element model from the module library, and constructing a production simulation model; on the basis of the technological process, a proposed discrete manufacturing workshop production and logistics simulation control method is adopted, corresponding production and logistics resources are called, production and circulation of products among different working procedures are achieved, and workshop full-process and full-factor production simulation is achieved; production simulation information is counted, production performance is analyzed, man-machine interaction adjustment and multi-factor experiments are carried out, and the production process and production resource configuration are optimized. The problems that current production simulation modeling is large in difficulty and long in period, and accuracy is difficult to guarantee are solved, discrete manufacturing workshop production and logistics simulation model modularization rapid construction is achieved, modeling efficiency is improved, and workshop production performance is optimized.

The invention relates to the technical field of factory production scheduling, and provides a factory production scheduling plan automatic generation method and device and electronic equipment, task information of a to-be-scheduled task and production elements of a production factory are obtained, and the production factory is used for producing the to-be-scheduled task; and based on the task information of the to-be-scheduled task and the production elements of the production factory, determining an optimal scheduling plan of the production factory for the to-be-scheduled task through mixed integer programming and a hill climbing algorithm. By combining the accuracy of the mixed integer programming and the high efficiency of the hill climbing algorithm, a high-quality production scheduling scheme can be found, and calculation can be completed within acceptable time, so that automatic and efficient production scheduling is realized, and the production efficiency and the management level of a factory are improved.

The utility model discloses a cement plant production water treatment device which comprises a treatment box, a discharging pipe is arranged at the bottom of the treatment box, a discharging valve is arranged on the discharging pipe, the discharging valve comprises a plug, a discharging block is arranged on the discharging pipe, a discharging rod is arranged on the discharging block in a sliding mode, the plug is arranged on the discharging rod, and the plug is arranged on the discharging rod. A rotating shaft is rotationally arranged between the discharging pipe and the discharging block, a rotating block is fixedly arranged on the rotating shaft, a rotating groove matched with the rotating block is formed in the discharging rod, a discharging spring is arranged between the discharging block and the plug, the discharging rod and the plug are conveniently driven to move through rotation of the rotating shaft and the rotating block, and the discharging pipe is opened for water drainage after the plug moves; and after the rotating shaft is reversely rotated, the plug resets under the elastic force action of the discharging spring, the discharging pipe is blocked, water leakage is prevented, and operation is easy and convenient.

The application discloses a plant intelligent factory multidimensional data monitoring and collaborative control method and system, and belongs to the technical field of collaborative control. The method specifically comprises the following steps: collecting multidimensional data of a plant intelligent factory in real time, wherein the multidimensional data comprises plant physiological parameters, environmental factor parameters, nutrient solution parameters, and device and operation state parameters; based on the multidimensional data, a dynamic multi-level causal correlation model between devices, plant physiology, environment and operation is constructed; potential collaborative influence paths in an abnormal state are identified; when an abnormality is detected or a growth process deviates from a trend is predicted, cross-level control is automatically performed; cross-level control instructions are distributed to the device level, the cultivation unit level and the workshop level according to the levels; and the plant intelligent factory is subjected to multi-link joint regulation and control. Through the establishment of the collaborative mechanism of the causal correlation and the path, the regulation and control are more accurate, flexible and adaptive, and the stability, resource utilization rate and intelligent level of plant production are effectively improved.

The invention provides a pasture ecological monitoring method and system, and relates to the technical field of ecological monitoring, and the method comprises the steps: obtaining the meteorological data of a to-be-detected pasture, and determining the plant production efficiency of the to-be-detected pasture based on the meteorological data; calculating the theoretical grass yield of the to-be-measured pasture according to the plant production efficiency; determining the pasture availability of the to-be-detected pasture based on the type of the to-be-detected pasture; wherein different types of the to-be-detected pasture respectively correspond to different pasture utilization rates; on the basis of the theoretical grass yield and the pasture availability, calculating the edible grass yield of the to-be-measured pasture; acquiring livestock information of the to-be-detected pasture, and determining the grass consumption of the to-be-detected pasture based on the livestock information; calculating an attenuation index of the to-be-measured pasture based on the edible grass yield and the grass consumption; the grazing intensity can be controlled, so that the harm of grassland degradation caused by overlarge grazing intensity is avoided, and sustainable development of pasture ecology is facilitated.

A new and distinct cultivar of Alstroemeria plant named ‘Turcal209’ is disclosed, characterized by uniquely low growing / compact plants with excellent pot and garden performance. Plants are very floriferous with a long flowering period from June to October. Flowers are bright purple with a yellow center with stripes. Hardiness to −12° C. has been observed. Foliage is healthy and green, also during the flowering period. The new variety is an Alstroemeria, typically produced as an outdoor ornamental plant.

The invention relates to the technical field of wastewater treatment, in particular to a recycling device for production wastewater of a concrete mixing plant and an operation method of the recycling device. Comprising a first-stage barrel, a second-stage barrel is communicated with the first-stage barrel in a penetrating mode, the separation and mixing mechanism is arranged in the first-stage barrel and the second-stage barrel, and the separation and mixing mechanism comprises a conical cover fixedly installed in the second-stage barrel and a centrifugal plate arranged on the lower side of the conical cover and driven by a motor. By arranging the separating and mixing mechanism, after waste water containing sandstone aggregate is put into a secondary barrel, a centrifugal plate rotates at a high speed, the waste water containing the sandstone aggregate can be thrown to a filter barrel, the waste water and the sandstone aggregate can be rapidly separated, when the waste water flows to a first impeller, the waste water is thrown out through high-speed rotation of the first impeller, and the waste water is recycled. And the flocculating agent is sprayed out by matching with the spray pipe, so that the flocculating agent can be uniformly mixed into the wastewater, and uniform mixing of the flocculating agent and the wastewater can be realized without stirring the wastewater by stirring equipment.

Provided is a method for achieving high expression of a target substance in a plant. Also provided are a method of creating a plant with suppressed resistance to a pathogen, wherein the method comprises suppression or disruption of expression of a gene associated with a resistance mechanism in the plant, and a method of creating a plant with suppressed resistance to a pathogen wherein the method comprises overexpression of a gene related to degradation of salicylic acid (SA) in plants; as well as a transgenic plant or genome-edited plant obtained by the method; and a method for producing a target protein using the plant.

This invention provides a method, system, and electronic device for controlling the operation of plant production equipment, relating to the field of agricultural production equipment control. The method takes net photosynthetic rate as the core constraint and the minimum energy consumption of plant production equipment as the optimization target. It can synchronously adjust strongly coupled lighting equipment, air conditioning equipment, carbon dioxide equipment, and fresh air equipment, realizing coordinated control of the operation process of the above-mentioned equipment in plant production equipment, thereby completely solving the problem of energy consumption conflict and significantly reducing the energy consumption of plant production equipment.

A new and distinct cultivar of Hydrangea macrophylla plant named ‘RnR x AS-01-22’, characterized by its glossy dark green foliage with red petioles, remontant (reblooming) trait, flowering on old wood and new growth of the season, pink mophead inflorescence in non-aluminium based media and blue inflorescence in aluminum based media, foliar Cercospora resistance, and its compact, rounded to spreading habit. The new cultivar is a Hydrangea, typically produced as an outdoor ornamental plant.

This disclosure provides methods and compositions related to haploid plant production and chromosome doubling of haploids. In one aspect, provided herein are methods for producing haploid plants (e.g., haploid sunflower plants) by limiting fertilization, including limiting double fertilization and / or self-fertilization. Also provided are fertilizer regimes, light regimes, formulations, and methods of delivery thereof for chromosome doubling.

The invention discloses a storage method and application of cymbidium seeds mixed with bactericidal sandy soil, and belongs to the technical field of agricultural product storage. According to the method, mixed and sterilized sandy soil and cymbidium orchid seeds are alternately treated at two temperature intervals of 2-6 DEG C and 20-30 DEG C, so that seed aging is delayed, and seed vitality, storage stability and germination rate are improved. Meanwhile, mature cymbidium capsules are collected and dried in the shade till the water content of the seeds is smaller than 10%, river sand and matrix soil are mixed and sterilized to serve as a storage medium, the air permeability and the water-retaining property are guaranteed, and the infection risk is reduced; a proper humidity environment is kept by spraying a mixed sterilizing solution, so that the storage effect is further improved; and the effectiveness and the controllability of the storage process are ensured by monitoring the temperature and the humidity in real time. The method is applied to artificial breeding of cymbidium orchid and storage of orchid seeds, the germination rate and the seedling success rate are increased, the genetic stability is kept, and powerful support is provided for production, research and application of cymbidium orchid and orchid.

The invention discloses application of a protein CK2 beta3 and a coding gene thereof in regulating and controlling the cold resistance of a plant in a seedling stage, and relates to the technical field of gene engineering. The amino acid sequence of the protein CK2 beta3 is as shown in SEQ ID NO.1, and the nucleotide sequence of the gene for coding the protein CK2 beta3 is as shown in SEQ ID NO.2. The protein CK2 beta3 and the coding gene thereof are related to the regulation of the cold resistance in the seedling stage of rice, and the analysis of the function of the CK2 beta3 gene has important theoretical significance for revealing the molecular mechanism of the regulation of the cold resistance in the seedling stage of plants. The problem that low temperature restricts plant production is effectively solved.

This invention relates to a method and apparatus for predicting the lifespan of solenoid valves, applicable to normally excited or de-excited solenoid valves. The method includes the following steps: identifying key components of the solenoid valve; performing aging tests and analysis on the coil, and determining the coil's lifespan based on the analysis results; performing compression deformation and aging tests on the rubber seal, and determining the rubber seal's lifespan based on the test results; performing stress relaxation tests and assessments on the spring, and determining the spring's lifespan based on the test results; and predicting the lifespan of the solenoid valve based on the coil's lifespan, the rubber seal's lifespan, and the spring's lifespan. This invention can effectively assess the effective service life of normally de-excited or excited solenoid valves, improving the accuracy of lifespan prediction for normally de-excited or excited solenoid valves in industrial production processes. It can also improve the equipment management level of power plants for this type of solenoid valve, enabling the development of appropriate maintenance strategies and improving the economic efficiency and safety of power plant production.

The application relates to the technical field of screening devices, in particular to a gumball workshop production screening device and a screening method, which comprise a workbench, a bearing assembly is arranged on the workbench, the gumball workshop production screening device and the screening method adopt a linkage structure of a worm gear-worm screw+double screw+insert block, after a driving piece drives the worm screw to rotate, two groups of screws synchronously push the insert block to be inserted into a screening plate slot, the synchronous rigid fixation of the two groups of screening plates is realized, compared with traditional bolts or clamping, the fixation is more firm, the impact force of high-frequency vibration can be completely resisted, the screening gap is prevented from being large and the classification is prevented from being chaotic; two groups of screening plates with different hole diameters (the upper layer has a larger hole diameter than the lower layer) are arranged in the screening cavity, after raw materials are uniformly fed through a hopper, the three-level effect of'retention of large impurities / coarse materials (the upper layer), screening of qualified products (the lower layer) and separation of crushed materials (the bottom)' can be realized through one-time screening, multiple screening is not needed, and the production efficiency is greatly improved.

The application discloses a kind of intelligent dust removal filter equipment for factory production, including equipment body, air suction mechanism and dust removal passage, the air suction mechanism is arranged in the rear end of the dust removal passage, dust removal passage with the air suction mechanism between being provided with partition, the partition with the dust removal passage between being provided with air outlet passage, dust removal passage is equipped with primary filter mechanism and secondary filter mechanism, dust removal passage is also provided with dust suction device for sucking dust. Through the primary filter mechanism and the secondary filter mechanism, multistage filtration is realized, higher cleanliness is provided, and the space of the dust removal passage is divided into secondary filtration space and fan rotation space by the partition in the secondary filter mechanism, the service life and reliability of the intelligent dust removal equipment for factory production are improved.