2527 results about "Light energy" patented technology

The invention provides an intelligent real-time detection method and system for PCCP welding quality, and relates to the technical field of online detection and intelligent evaluation of pipeline welding quality through machine learning. Light energy data and multi-light-source images of a spiral weld pool are collected, exposure parameters are dynamically adjusted through the energy difference of visible light near-infrared bands, and the real-time detection of the PCCP welding quality is achieved. Inhibiting strong light interference and generating a weld surface image; a stress concentration area is positioned by scanning a welding seam thermal deformation area and combining speckle pattern change, sound frequency change and the elastic characteristic of the thin-wall steel cylinder; inputting the surface image and the deformation data into a space-time convolutional neural network, fusing light energy change, image details and spatial features to construct a weld joint space structure diagram, and adaptively correcting the position of a sensor; and comparing the sinking depth of the three-dimensional point cloud reconstruction, analyzing the correlation between the sinking degree and the stress, and generating a probability thermodynamic diagram to output the pressure-bearing failure risk level, so that the probabilistic early warning of the pressure-bearing failure risk can be realized.

The invention relates to an optical fiber hydrogen sensor based on a silver film-nanowire hole array structure and a preparation method thereof in the field of photochemical sensors. The optical fiber hydrogen sensor comprises a multimode optical fiber, and a sensing area is formed on the multimode optical fiber; the sensing area is formed by stripping a coating layer with a preset length from the multimode optical fiber, thinning the optical fiber in the area, plating a silver film on the surface of the thinned optical fiber, and adsorbing a nanowire hole array structure which is sequentially and vertically arranged on the surface of the silver film in a liquid level self-assembly manner; the nanowire hole array is of a metal-medium-metal (MIM) structure, a gold-palladium nanowire array is arranged at the bottom, an intermediate medium layer is made of aluminum oxide, and a silver film with a hole array in any shape is arranged at the top. When light is transmitted to a sensing area from a fiber core of the multimode optical fiber, the light and a metal silver film can excite a surface plasmon resonance (SPR) effect, meanwhile, an MIM structure formed by a gold-palladium nanowire, an aluminum oxide dielectric layer and a porous silver film serves as an optical coupling antenna through a local surface plasmon resonance (LSPR) effect at the edge of a top hole, and the optical coupling antenna is used for transmitting the light to the sensing area. Light energy is efficiently converged and excited in an extremely bound gap plasmon (Gap Plasmon) in an aluminum oxide dielectric layer, so that far-unconventional electromagnetic field enhancement is generated in a sensing core area, and the sensitivity of the sensor is greatly improved.

The invention provides a consumption reduction method and device for a wind and light energy storage complementary thermal power plant system, and the method comprises the steps: obtaining the wind speed, illumination intensity, energy storage charge state, auxiliary power load curve, power grid dynamic electricity price signal and thermal power generating unit auxiliary machine operation parameters of the thermal power plant system, and taking the parameters as a data set; based on a weather prediction model, a load prediction model and an electricity price fluctuation model, generating a wind power generation output prediction value, a photovoltaic power generation output prediction value, a load demand prediction value and an electricity price interval prediction value in a future preset time period according to the data set, and taking the prediction values as prediction results; by taking minimization of plant power cost and maximization of renewable energy consumption as targets, generating an energy storage charging and discharging instruction, a wind power generation and photovoltaic power generation grid-connected priority sequence and a thermal power auxiliary engine regulation and control strategy according to the data set and the prediction result to serve as control instructions; control instructions are executed through control equipment in the wind-solar energy storage complementary thermal power plant system, and energy conservation and consumption reduction are achieved by integrating wind energy, solar energy and an energy storage system.

The invention discloses a wind and light storage coordination control method and system for a virtual synchronous machine, and the method comprises the steps: building a wind power plant-energy storage power station double-layer response mechanism at a first stage, and employing a multi-time scale coordination control strategy for a second-stage energy storage system; and in combination with the virtual synchronous control characteristics of the optical storage power station, establishing a multi-scene optimization model of a wind and light storage multi-source collaborative double-layer coupling mechanism, and realizing dynamic optimization of output of each unit among inertia support, frequency modulation capacity and energy storage health state. According to the method, wind power plant rotor kinetic energy release combined overspeed load shedding control, a fuzzy control means based on an energy storage charge state and a VSG control means based on a virtual inertia and damping coefficient self-adaption photovoltaic system are considered, then wind and light energy storage frequency modulation coordination is optimized, and the system inertia safety is effectively improved on various working conditions and different time scales.

The invention discloses a wind and light storage station power reporting and tracking method based on energy storage rapid power response. The method comprises the following steps: acquiring wind and light power probability prediction data, power grid real-time operation state data, station operation state data and power grid examination allowable power deviation data in a current scheduling period; generating a dynamic power reporting interval of the next scheduling period based on the wind-solar power probability prediction data, the power grid real-time operation state data, the station operation state data and the power grid examination allowable power deviation data; and based on the dynamic power reporting interval and the real-time operation data of the wind and light storage station, a flexible control strategy is adopted to control the charging and discharging behaviors of an energy storage system in the station. By generating the dynamic power reporting interval with self-adaptive change and adopting the flexible control strategy, the operation condition of the energy storage system can be obviously optimized, the fluctuation of the wind and light power can be effectively stabilized, and the economy and reliability of the operation of the station can be improved on the premise of ensuring that the wind and light storage station tracks the power grid assessment requirement.

The invention belongs to the technical field of new energy power generation scheduling and energy management, and discloses a wind and light energy storage strategy optimization method based on a data acquisition and monitoring control system, and the method comprises the following specific steps: S1, multi-source data acquisition; s2, data preprocessing and feature extraction; s3, performing short-term prediction calculation; s4, energy storage scheduling optimization calculation; s5, generating and issuing a scheduling instruction; s6, scheduling execution monitoring and feedback acquisition; and S7, carrying out closed-loop deviation analysis and strategy correction. According to the invention, through multi-source data acquisition and preprocessing, key parameters such as wind speed, illumination and state of charge, historical power and load data are jointly analyzed, and a hybrid prediction method combining time sequence prediction and environment variable correction is adopted, so that higher-precision prediction of wind and light output and load trend is realized; this prediction not only captures the time continuity of the power variation.

The invention discloses a vegetation gross primary productivity monitoring method based on downscaling and multi-source remote sensing data, and belongs to the field of remote sensing image processing. In order to accurately monitor the GPP change of an engineering scale, the vegetation total primary productivity monitoring method comprises the following steps: acquiring first resolution multisource remote sensing data, downscaling by using CNN, inputting data containing DEM and LUCC in a layer, and dynamically adjusting background weight in a loss function through an LUCC binarization mask (a vegetation region is 1, and a non-vegetation region is 0); a CASA method is used for simulating GPP, a multi-year target area GPP data set is generated, and the maximum light energy utilization rate is determined by the vegetation type; analyzing GPP spatial and temporal change characteristics of the data set by using a Theil-Sen slope estimation method and the like, and extracting spatial distribution and a time change mode; extracting principal components of similar factors by using a principal component analysis method, calculating local correlation coefficients of the principal components and the GPP by using a partial correlation method, identifying dominant influence factors by using a contribution degree decomposition model, and extracting an environmental factor driven map. The method is applied to the field of ecological remote sensing monitoring.

The invention provides a photovoltaic power generation and air water taking irrigation system, comprising: a photovoltaic power generation module for generating electric energy by using light energy; the gel adsorption module is connected with the photovoltaic power generation module and is used for adsorbing water vapor in air by using gel and driving the gel to desorb and release the water vapor by using waste heat generated by the photovoltaic power generation module; the condensation water collection module is connected with the gel adsorption module and is used for condensing the water vapor to obtain condensed water; the crop irrigation module is connected with the condensation water collection module and is used for irrigating crops by utilizing the collected condensate water; the soil detection module is connected with the crop irrigation module and used for controlling irrigation according to the detected crop root system soil humidity, collaborative production of water, electricity and crops can be achieved under the condition that no external input exists in the island reef environment, and the problems that in the island reef environment, fresh water is in shortage, electricity is insufficient, and self-sufficiency of agricultural production is difficult are solved.

The invention relates to the technical field of photovoltaic power generation systems, and discloses a liftable BIPV photovoltaic roof power system based on intelligent control, which comprises a panoramic light field sensing module, a multi-modal data fusion prediction module, an ambient light contribution analysis module, a self-adaptive angle optimization module and a partition cooperative control module. According to the invention, through omnibearing light field perception, multi-modal data fusion prediction, ambient light contribution analysis, adaptive angle optimization and partition cooperative control, intelligent optimization control of the angle of the photovoltaic roof assembly is realized, the light energy capture efficiency can be comprehensively improved, and the system has a prospective control capability and is suitable for popularization and application. The problems that in the prior art, response to rapid change illumination conditions is lagged in consideration of direct light of a single sun track, and illumination differences of different areas in a large system exist are solved.

The invention relates to the technical field of light guide film light intensity distribution regulation and control methods based on microstructure optimization, discloses a light guide film light intensity distribution regulation and control method and system based on microstructure optimization, and aims at solving the problems that an existing light guide film is fixed in light intensity distribution, insufficient in optimization precision and difficult to customize. The method comprises the following steps: constructing a light guide film model and a target light intensity distribution diagram, initializing microstructure parameters and simulating to obtain simulated light intensity distribution; deviation is calculated and serves as optimization algorithm input, and microstructure parameters are iteratively adjusted through a particle swarm optimization algorithm based on gradient guidance until convergence is met; and converting the optimized microstructure parameters into a manufacturing instruction. Through the scheme, reverse high-precision customization of light intensity distribution of the light guide film can be realized, the design efficiency, the light energy utilization rate and uniformity are remarkably improved, and the research and development period is shortened.

The invention discloses a self-powered cholesteric phase display screen display driving system and a control method thereof, and belongs to the technical field of display. The system comprises a low-light energy acquisition module, an energy management module, a control module and a display driving module. The control module controls the turn-off and turn-on of the voltage output function of the energy management module by outputting a sleep / wake-up signal, so that the system is charged by using ambient light during sleep, and image refreshing is quickly completed and the system enters sleep again during wake-up. By setting a balance point of wake-up time and energy consumption, it is ensured that refreshing energy consumption is lower than charging energy, so that energy self-balance and continuous work of the system in a luminous environment are achieved, and external charging is not needed. The problems that an existing cholesteric phase display needs frequent external charging during continuous work and a traditional light energy power supply scheme is low in efficiency in the low-light environment are mainly solved, self-powered continuous operation of the cholesteric phase display in the indoor and outdoor low-light environment is achieved, and use convenience is improved.

The invention provides a photovoltaic module support amplitude stabilizing device, which relates to the technical field of photovoltaic equipment and comprises a support amplitude stabilizing execution module, a data acquisition module, a windproof control type determination module and a windproof control module. By constructing a three-level windproof control strategy system, accurate response to different wind levels is achieved, a first-level windproof control strategy is adapted to the vibration frequency and amplitude of a support in real time by dynamically adjusting the damping coefficient of a damping shock absorber, and a second-level windproof control strategy is adapted to the length of a windproof hydraulic cylinder based on wind speed and wind direction data. According to the three-level windproof control strategy, when strong wind exceeds a mechanical counteracting range, the dip angle of the photovoltaic panel is adjusted to a safe and efficient conversion angle, the wind resistance and the light energy utilization rate of the structure are balanced, and the wind energy utilization rate of the photovoltaic panel is increased. And the reliability and the economical efficiency of the photovoltaic system under the severe weather condition are improved.

The invention discloses a light energy power station fault prediction system based on deep learning. The system comprises a data acquisition module used for reading equipment operation data from a sensor; the data preprocessing module is used for denoising, interpolating and standardizing the equipment data; the graph convolutional network construction module is used for constructing an equipment data graph structure and extracting features; the Lemap dimension reduction module is used for mapping the high-dimensional equipment features to a low-dimensional space; the time sequence modeling module is used for constructing a time sequence prediction model based on the low-dimensional features; the hyper-parameter optimization module is used for optimizing hyper-parameters of the time sequence model; the model verification module is used for evaluating the precision and response time of the fault prediction model; the model deployment module is used for deploying the prediction model to a monitoring system; the fault prediction and early warning module is used for monitoring in real time and generating fault early warning; and the continuous optimization module is used for regularly optimizing and retraining the fault prediction model. The method achieves the high efficiency of fault prediction of the light energy power station, remarkably improves the prediction precision and the reliability of equipment operation, and is widely suitable for equipment monitoring and early warning.

The invention relates to a three-waveband medium-long wave infrared optical filter and a preparation method, the three-waveband medium-long wave infrared optical filter comprises a front film system, a substrate and a back film system, and the substrate is located between the front film system and the back film system; the front film system is formed by alternately overlapping germanium layers and zinc selenide film layers; and the back film system is formed by alternately overlapping germanium layers and zinc selenide film layers. According to the invention, the light energy of three wave bands of 3780-4000 nm, 4500-4900 nm and 7850-9500 nm is improved, the luminous flux of other wave bands is well inhibited, the technical problem of infrared filtering windows in some special infrared spectrum detection systems is solved, and a new scheme is provided for the application of the infrared spectrum detection systems.

The invention discloses a three-port soft switching optical storage servo all-in-one machine based on device multiplexing and a modulation method. The all-in-one machine comprises a DC-AC servo driver, a low-voltage DC energy storage module, an auxiliary unit, a bus capacitor and a photovoltaic module. The DC-AC servo driver comprises three bridge arms, and each bridge arm is provided with a bridge arm upper tube and a bridge arm lower tube; the low-voltage direct-current energy storage module comprises an energy storage battery, an energy storage switch tube S7 and a direct-current energy storage inductor; the photovoltaic module comprises a photovoltaic power generation panel, a photovoltaic inductor, a photovoltaic switch tube S8 and a diode D1; the auxiliary unit comprises an auxiliary switch tube Sa, an auxiliary resonant inductor Lr and an auxiliary capacitor Cr. According to the invention, an integrated resonant soft switching architecture is innovatively adopted, zero-voltage / zero-current switching of all power switching devices is realized, and the problem of loss caused by a traditional hard switch is thoroughly solved; and by optimizing a device multiplexing technology, the number of switching tubes is greatly reduced while the soft switching performance is ensured, so that the system efficiency is improved in a breakthrough manner.

The invention discloses a total primary productivity estimation method and system based on multi-model coupling deep learning, and the method comprises the steps: obtaining the multi-source data of meteorological data, remote sensing images, latent heat flux, sensible heat flux and solar radiation, carrying out the quality control, missing value processing and nearest neighbor interpolation of different data sources, and carrying out the prediction of the total primary productivity. Unifying to a target spatial resolution and a time resolution; in a light energy utilization rate (LUE) model family, a solar radiation phase factor is introduced into a photosynthetically active radiation absorption ratio (FPAR) to obtain a phase modulation type FPAR, drought duration is introduced into a water stress function f (W) to obtain an exponential decay type f (W), and a GPP time sequence of a plurality of improved mechanism models is calculated according to the exponential decay type f (W); extracting spatial texture features from a remote sensing image stack by using a convolutional neural network (CNN), and performing cross-modal fusion on the spatial features and the GPP estimated by the plurality of improved mechanism models in a gating mode to form fusion representation; carrying out learning and collaborative optimization on the fusion representation of the GPP and CNN spatial features estimated by the plurality of improved mechanism models by adopting a gradient lifting tree model; and high-precision estimation of the GPP is realized through multi-model collaborative optimization. The method aims at solving the problem that a traditional light energy utilization rate model is insufficient in response under the extreme environment conditions of drought and intense radiation, the adaptability limitation of a traditional single model under the complex environment is broken through, and therefore high-precision GPP estimation under the complex environment is achieved.

The invention relates to the technical field of clean energy power generation, in particular to power generation equipment based on wind, light and heat multi-energy coupling. The power generation equipment comprises a vertical axis wind power generation and heat dissipation device, a photovoltaic and temperature difference power generation composite device, a double-axis tracking device and a tower type supporting frame. The vertical axis wind power generation and heat dissipation device captures wind energy through the impeller assembly so as to drive the driving assembly and drive the heat dissipation assembly to rotate at a high speed, and active heat dissipation is provided for the photovoltaic and thermoelectric power generation composite device. The photovoltaic and thermoelectric power generation composite device comprises a monocrystalline silicon photovoltaic cell, a first annular plate, a second annular plate and a plurality of aluminum extrusion type cooling fins, light energy can be effectively utilized, and waste heat collection and thermoelectric power generation are achieved. According to the power generation equipment, structural support is provided by the tower type supporting frame, and the comprehensive utilization efficiency of energy in unit space is remarkably improved through coupling utilization of wind energy, light energy and heat energy.

The invention relates to the technical field of grass and livestock management, and provides a grass and livestock balance regulation and control method and system based on a light energy utilization model inversion difference value, and the method comprises the steps: obtaining environment detection data, grassland ecological characteristic parameters and historical grazing data of a target grassland; according to the environment detection data, utilizing a pre-constructed light energy utilization model to calculate and obtain inversion biomass distribution of the target grassland; establishing a biomass estimation model according to the historical grazing data and pre-constructed actual measurement quadrat data, and obtaining actual aboveground biomass distribution of the target grassland according to the grassland ecological characteristic parameters and the biomass estimation model; calculating biomass difference distribution data; determining grassland grazing intensity distribution data of the target grassland according to the biomass difference distribution data; and based on the grassland grazing intensity distribution data, dividing the target grassland into a plurality of grazing sub-regions with different bearing capacity grades, and carrying out grass and livestock balance regulation and control. According to the invention, the accuracy of grassland grazing intensity evaluation can be improved, and precise regulation and control of grass and livestock balance can be realized.

The invention provides a photovoltaic power generation system with desertification prevention and control functions, and belongs to the technical field of photovoltaics. The system comprises a modular photovoltaic array unit used for converting light energy into electric energy; the three-dimensional support system is used for dynamically adjusting the height and the angle of the modular photovoltaic array unit; the sand and dust cleaning system is used for cleaning sand and dust attached to the surfaces of the modularized photovoltaic array units; the vegetation planting unit forms a sand stabilization vegetation zone around the three-dimensional support system; and the intelligent control system is used for dynamically controlling the three-dimensional bracket system, the sand and dust cleaning system and the vegetation planting unit through the automatic adjusting module according to the environmental data monitored by the environmental monitoring module. According to the invention, the photovoltaic array, the dynamic support, the sand and dust cleaning unit and the vegetation planting unit are integrated, and the cooperative operation of each part is realized by means of intelligent control, so that the system adapts to the complex environment of the sand area, the power generation efficiency is guaranteed, the cooperative interaction of photovoltaic power generation and sand prevention and control is realized, and the coordinated development of ecology and energy is promoted.

The invention discloses a collaborative light regulation and control decision method and system, and relates to the technical field of intelligent regulation and control of plant factory light environments, and the system comprises a plant physiology monitoring unit which is provided with a non-invasive microelectrode array and a hyperspectral imager; and the environment sensing unit is used for collecting illumination intensity, spectrum, temperature, humidity and carbon dioxide concentration data. According to the collaborative light regulation and control decision-making method and system, fusion of multi-source heterogeneous data is realized through a pulse time sequence coding mechanism, and the problem that environmental parameters and plant physiological statuses are difficult to collaboratively analyze in the prior art is solved; based on a dynamic optimization architecture of double-alliance Nash equilibrium, autonomous collaborative decision-making of spectrum parameters can be completed in a short time, and compared with a traditional preset light formula, the response speed is improved; decision effectiveness can be synchronously guaranteed on the virtual model and biological entity level, the light suppression misjudgment rate is reduced, and meanwhile the plant light energy utilization rate is stably improved.

The invention discloses a photovoltaic ecological system based on a holographic frequency division technology. The photovoltaic ecological system comprises a frame body; the frequency-division concentrating photovoltaic unit comprises a substrate layer which is formed by connecting a heat conducting plate and a dodging plate and is connected with the frame body through a reciprocating motion mechanism, a concentrating layer and a holographic grating layer which are sequentially arranged above the heat conducting plate, and a photoelectric conversion battery arranged on the heat conducting plate; the light adjusting unit is arranged between the two adjacent frequency division concentrating photovoltaic units and comprises two frequency division plates connected through a rotating pair, and the ends, away from each other, of the two frequency division plates are connected with the corresponding frequency division concentrating photovoltaic units through rotating pairs; the reflective optical baffles are arranged on the two sides of the substrate layer, and side wall batteries are further arranged on the sides, close to the light adjusting units, of the reflective optical baffles. According to the invention, through a spectrum frequency division and space light energy distribution mechanism, multi-band efficient utilization of sunlight is realized, the light quality and the light quantity required by plant photosynthesis are guaranteed, and the photovoltaic power generation efficiency is improved.

The invention discloses a wind and light energy storage power generation distribution control method and system. The method comprises the following steps: acquiring related parameters of a wind and light energy storage system; a multi-target control function is constructed based on a multi-target Harris eagle optimization algorithm, and system constraint conditions are combined in the directions of wind and light output fluctuation suppression, energy storage charge and discharge loss reduction and power grid supply and demand matching degree improvement; monitoring and adjusting the state of charge of the multi-mode hybrid energy storage unit through a wind storage combined wide-area SOC virtual synchronous control strategy, establishing association mapping and determining an initial threshold value; preliminarily distributing a power difference value between wind and light output and a power grid load by using the platform; iteratively optimizing the preliminary distribution power and then outputting target power; and sending a control instruction to realize real-time distribution. The number of the system is six, and all the units work cooperatively. According to the invention, the energy storage resource utilization efficiency and the system operation stability are improved, and the dynamic adaptation capability of the wind-solar energy storage system to the power grid load is enhanced.

The invention relates to the technical field of inspection, in particular to an AI intelligent agent-based inspection method, equipment and system, and the method comprises the steps: obtaining a target region image of a to-be-inspected region, determining an abnormal region according to the target region image, generating a bidding request under the condition that the environment illumination condition of the abnormal region does not meet a preset condition, the bidding request comprises illumination demand information of an abnormal area and an area position of the abnormal area, sending the bidding request to a plurality of second devices, when bidding information generated by the second devices according to the bidding request is received, determining a target device from the plurality of second devices according to the bidding information, and sending a task execution instruction to the target device, and the target device provides illumination for the abnormal area according to the area position and the illumination demand information. By transferring the illumination energy consumption of the first equipment, the endurance time of the first equipment can be prolonged, the first equipment is prevented from being exposed, and the illumination requirement can be met to the maximum extent.

Laser IVL systems and methods are disclosed. A laser IVL system can include at least one light energy source and a catheter. The catheter can include an elongate sheath, an enclosure sealed to a distal end of the elongate sheath, and at least one optical fiber contained within the elongate sheath. The enclosure may have a fill volume less than 10 mL and may be fillable with a fluid. The at least one optical fiber can be optically coupled to receive light from the at least one light energy source and configured to transmit the received light at a light emitting region of the at least one optical fiber into a distal region of the catheter that is enclosed by the enclosure to generate shock waves in the fluid.

The invention discloses an optical storage and charging integrated micro-grid system, relates to the technical field of optical storage and charging integration, and aims to solve the problem that the storage and charging effect of optical energy is unstable and unsafe. Different control instructions are generated according to different scenes, various conditions in the operation process of the micro-grid can be comprehensively covered, fine management and control of the micro-grid are achieved, a corresponding load distribution strategy is formulated, the system can be flexibly adjusted according to actual conditions, the electric energy utilization efficiency and the stability of the system are improved, and the system is suitable for popularization and application. When the photovoltaic power generation power is insufficient, energy storage discharging and photovoltaic electric energy combined power supply are started, reasonable storage and flexible allocation of electric energy are achieved, the power supply reliability and flexibility of the system are enhanced, an electric energy dynamic scheduling strategy comprises four scenes of charging, discharging, balance and safety, flexible switching can be achieved according to the actual operation condition, and the power supply efficiency is improved. The method adapts to operation requirements of the micro-grid under different working conditions, and has relatively high flexibility and adaptability.

The invention discloses an electrical fire fighting Internet of Things monitoring method and system, relates to the technical field of electrical safety and fire early warning, and aims to solve the problem that wiring or stable power supply cannot be realized in special scenes such as specified cultural relics and buildings, and realizes self-sustaining operation of a passive multi-mode sensor through a composite energy collection mode of temperature difference, vibration and light energy. A low-power-consumption mode is intelligently switched when power supply is insufficient, interference factors are collected, temperature and leakage current thresholds are dynamically adjusted by calculating the composite interference factors, the fire risk probability is analyzed and prediction errors are evaluated by combining a lightweight fire prediction model and a local loss function, and the evidence storage frequency is adjusted according to the risk probability based on the evaluation result. The problems of power supply, accurate monitoring, risk assessment, data management and the like in special scenes are effectively solved, the accuracy and reliability of electrical fire monitoring are remarkably improved, and the system has important significance in guaranteeing electrical safety of places such as cultural relics and buildings.

A directed energy firefighting device is disclosed to extinguish fires with light, comprising a structured light generator and a directed energy controller for detecting and extinguishing fires remotely and at the speed of light. The device employs structured directed light energy capable of inducing atmospheric avalanche breakdown, generating at least one of sound waves and shockwaves, and dynamically forming space-time acoustic arrays for precise fire suppression. The system may integrate one or more energy sources, including gyrotrons, traveling wave tubes, klystrons, free electron lasers, and others, to produce diffraction-resistant and dynamically structured beams that penetrate through the atmospheric and non-metalic solid physical obstructions. Key features also may include safety mechanisms and artificial intelligence for real-time optimization. Other applications include power beaming, environmental monitoring, medicine, disaster response, and orbital debris clearing are also discussed. A key feature is the ability for arbitrary manipulation of light over large areas.

The invention relates to the technical field of agricultural application of nano materials, and discloses a preparation method and application of a photosynthetic accelerant containing carbon quantum dots. Urea and citric acid are adopted as raw materials, and the nitrogen-carbon molar ratio and hydrothermal reaction parameters are optimized, so that efficient doping of nitrogen and accurate regulation and control of the particle size are achieved, and the photosynthetic accelerant containing the carbon quantum dots is obtained. The nitrogen-doped carbon quantum dot photosynthetic promoter with excellent upconversion performance is successfully synthesized, the promoter has good water solubility and biocompatibility, the photosynthetic efficiency of plants can be greatly improved within the concentration range of 0-100 mg / L, a safe application window is defined, and by establishing foliage spraying and water planting dual-mode application specifications, the application range of the nitrogen-doped carbon quantum dot photosynthetic promoter is widened, and the application range of the nitrogen-doped carbon quantum dot photosynthetic promoter is widened. The problems that current crops are insufficient in solar spectrum utilization and low in light energy conversion efficiency are solved in a targeted manner by utilizing an ultraviolet light-photosynthetically active radiation conversion function mediated by the carbon quantum dots and combining the targeted enrichment permeation characteristic of the carbon quantum dots in chloroplast.

The invention discloses engineering chlamydomonas reinhardtii for synthesizing high-value pigment and a construction method and application thereof.An engineering chlamydomonas reinhardtii strain Blup-BKT-CHYB-CHLC is preserved in the China General Microbiological Culture Collection Center on September 1, 2025, and the preservation number is CGMCC NO.46634. The content of astaxanthin in the constructed engineering chlamydomonas reinhardtii strain reaches 25.5 mg / L, and the content of astaxanthin in the engineering chlamydomonas reinhardtii strain reaches 9.5 mg / L; in addition, the light energy utilization efficiency is remarkably enhanced, the stress resistance is improved, very strong oxidation resistance is achieved, the accumulation of astaxanthin endows the engineering strain with highlight tolerance, the yield of high-value pigments is increased, and the biomass of the engineering strain is greatly superior to that of a wild strain under the highlight condition. In addition, the chlorophyll c synthase is applied to the reconstruction of a pigment system of the chlamydomonas reinhardtii for the first time, a frontier tool is quickly converted, and a molecular mechanism of'chlorophyll c-astaxanthin-blue pigment 'for synergistically regulating the photosynthetic efficiency of the chlamydomonas reinhardtii and product synthesis is clarified for the first time. The research blank of pigment system coupling regulation and control of photosynthesis and metabolism in the chlamydomonas reinhardtii is filled.

The invention provides a self-adaptive light beam regulation and control system for laser precision machining. The self-adaptive light beam regulation and control system comprises a light source unit, a micro-mirror device, a two-stage zooming system and a control unit. The micro-mirror array is introduced into the field of laser precision welding, light beam regulation and shaping of incident light are achieved, self-adaptive light spots which are arbitrary in shape and size, uniform in light intensity distribution and adjustable in output power are output on the surface of a workpiece in combination with a two-stage zooming system, and the machining precision in the fields of laser tin soldering and the like is remarkably improved; meanwhile, the two-stage zooming system can flexibly regulate and control the illumination distribution of the light beams on the micro-reflector array and the spot size of the light beams on the surface of the workpiece, the light energy utilization rate is effectively improved, and the power density consistency of the surface of the workpiece is guaranteed through combined regulation and control of the two-stage zooming system so that the better welding effect can be achieved.