157results about How to "Good application effect" patented technology

This invention discloses a method for indicating the degree of pyrite development in carbonate reservoirs, belonging to the field of geological exploration technology. Its key features include the following steps: a) selecting sensitive parameters to distinguish pyrite development based on the well logging response characteristics of pyrite-developed strata; b) establishing trend lines for the variation of sensitive parameters in formations with no or low pyrite content using these sensitive parameters; c) constructing trend lines for the variation of sensitive parameters with pyrite content based on strata data from key wells with different pyrite contents; d) identifying pyrite-enriched strata in the wells to be identified based on the intersection indications of the sensitive parameters; e) evaluating the degree of pyrite development in the pyrite-enriched strata by assessing the degree of difference in the intersection of sensitive parameters. This invention achieves the identification of pyrite-enriched strata through resistivity and sonic transit time intersection, enabling rapid and accurate identification of the degree of pyrite development in carbonate reservoirs.

The invention relates to the technical field of slope disaster monitoring, in particular to a high and steep slope geological disaster monitoring method and system based on multi-source data fusion. The method comprises the following steps: tracking surface deformation through PS-InSAR time sequence analysis and atmospheric phase correction to obtain surface deformation characteristics; identifying the apparent diseases of the slope, and extracting spatial and temporal distribution characteristics of the apparent diseases of the slope; analyzing spatio-temporal evolution characteristics under geologic structure constraints by utilizing slope rock mass structure characteristics and the earth surface deformation characteristics; according to underground water level dynamic and potential sliding surface weakening features and the slope apparent disease spatial and temporal distribution features, extracting disaster-causing key factor features after cooperative correction; and combining the disaster-causing key factor characteristics, the true three-dimensional geological environment background characteristics and the spatio-temporal evolution characteristics to analyze the comprehensive early warning grade and the potential instability mode of the landslide. Scientific support is provided for high and steep slope geological disaster prevention and control, and engineering construction and operation safety can be guaranteed.

The invention relates to a refracturing seam distribution method based on a comprehensive dessert prediction model, which comprises the following steps: S1, collecting well logging data, well deviation data and well bore structure parameters of a target horizontal well, and extracting geological attribute values sounding along a well bore; s2, calculating rock mechanical parameters along a shaft according to the data collected in S1; s3, calculating classification thresholds of all attributes of all wells and an average value of the classification thresholds, and determining classification thresholds of all geological and rock mechanics parameters of the block; s4, establishing a geological dessert profile, an engineering dessert profile and a comprehensive dessert profile; S5, importing the geological dessert profile, the engineering dessert profile, the comprehensive dessert profile, rock mechanical parameters, the initial fracturing perforation position of each well and the well cementation quality sound amplitude channel into visual software, and drawing a refracturing comprehensive dessert diagram; and S6, on the basis of the refracturing comprehensive dessert diagram, in combination with a refracturing process tool, optimizing a comprehensive dessert type I reservoir and a comprehensive dessert type II reservoir, and completing refracturing seam distribution position optimization design. The method solves the problem that the cloth seam position is difficult to accurately optimize and determine.

The application provides a wheelchair control system based on motor imagery electroencephalogram signals and surface electromyogram signals, and relates to the technical field of brain-computer control, comprising a data acquisition module, a system mode selection module, a signal processing module and a decision module; the data acquisition module is used for acquiring physiological signals of a wheelchair user and sending the physiological signals to the system mode selection module; the system mode selection module is used for selecting a processing mode of the physiological signals; the signal processing module is used for pre-processing the physiological signals and extracting signal features for identification; the signal processing module sends an identification result to the decision module; the decision module is used for fusing multiple instruction information and converting the instruction information into a final wheelchair control instruction, and outputting the control instruction to the wheelchair. The application can improve the operation accuracy of the control system, reduce the fatigue of the user when performing motor imagery behavior, improve the user experience and the application performance of the wheelchair control system, and expand the user range of the brain-controlled wheelchair.

The invention relates to the technical field of rock mechanics and intelligent detection, in particular to a rock strength and failure mode prediction method and system. The method comprises the following steps: acquiring data of a rock sample to be detected to obtain a multi-source feature set; constructing a feature coefficient prediction model, and inputting the multi-source feature set into the feature coefficient prediction model to obtain a feature coefficient; screening the multi-source feature set based on the feature coefficient to obtain an optimal feature subset; constructing a rock strength and failure mode prediction model, and optimizing hyper-parameters of the rock strength and failure mode prediction model by adopting an automatic hyper-parameter optimization framework; and inputting the optimal feature subset into the optimized rock strength and failure mode prediction model to obtain a rock strength prediction value and a failure mode. The problem that rock strength and failure mode prediction precision is not accurate enough and cannot be predicted at the same time in the prior art is solved, and the prediction precision is greatly improved through multi-source data collaborative prediction.

This invention discloses an early-strength, high-stability road grouting repair material and its preparation, belonging to the field of solid waste utilization and road grouting reinforcement technology. The raw materials of the early-strength, high-stability road grouting repair material of this invention include multi-source solid waste aggregates and a water-reducing agent; the multi-source solid waste aggregates, by mass percentage, include: 6.6 wt% fly ash, 5-15 wt% rapid-hardening sulfoaluminate cement, 64-74 wt% mineral powder, 13.4 wt% desulfurized gypsum, and 1% carbide slag. This invention constructs a quaternary solid waste system of fly ash-desulfurized gypsum-mineral powder-carbide slag, synergistically forming a slurry composite system with rapid-hardening sulfoaluminate cement and a water-reducing agent, and precisely controls the concentration of raw materials. During hydration, this system can generate supporting crystals, which not only provide high early-stage stone strength for the road grouting material, but also, due to its good stability, ensure high stone strength stability in the later stages.

The invention provides a teaching method and system for progressive AI ethic scene simulation in different learning segments, and the method comprises the steps: constructing a progressive AI ethic scene library in different learning segments according to different scene grades and corresponding task requirements; configuring a scene simulation platform and an AI ethic guidance module; based on the AI ethical scene library, the scene simulation platform and the AI ethical guidance module, progressive scene simulation and real-time task guidance are executed; in the process of executing scene simulation and real-time task guidance, collecting and analyzing multi-modal teaching data in real time; and based on an analysis result, generating a teaching evaluation and personalized promotion scheme. According to the AI ethical teaching system, the practicability and immersion of ethical teaching are improved, large-scale personalized teaching is realized, a scientific and comprehensive literacy evaluation standard is established, a data-driven teaching optimization closed loop is formed, and the AI ethical teaching system based on branch learning, scene simulation and intelligent guidance is constructed.

This invention discloses a method for synthesizing cefotiam, using 7-aminocephalosporanic acid (7-ACA) as the parent nucleus and introducing a 4-dimethylaminopyridine-dimethyl carbonate composite catalytic system. The reaction is carried out in a one-pot process involving 3-position nucleophilic substitution, 7-position amidation, and simultaneous deprotection in a green mixed solvent of ionic liquid [BMIM]BF₄-water with 1-(2-dimethylaminoethyl)-1H-5-mercapto-tetrazole and compound I. This method simplifies the process, improves selectivity, produces a high-purity product with stable yield, and is suitable for industrial production.

The invention discloses a mine blasting safety monitoring and early warning system, which belongs to the technical field of mine blasting and comprises a data acquisition layer, a dynamic monitoring layer, a data analysis layer, an early warning response layer and an evaluation layer. According to the system, before blasting, through the data acquisition layer, multiple types of data are obtained, various types of data are analyzed, building of a monitoring sensor system can be assisted, all monitoring point locations are important point locations of blasting, related data can be monitored at the first time during blasting, and through arrangement of the data intelligent analysis module, the data intelligent analysis module can be used for analyzing the data in the blasting process. According to the invention, historical data can be analyzed by using a machine learning algorithm, and the system not only has a conventional monitoring and early warning function, but also has a better later early warning function in combination with acquired multi-source data, a predicted vibration propagation range and a harmful gas diffusion path.

The utility model discloses an optical sensor and an electronic device, the optical sensor comprises a substrate, a first optical sensing chip, a dodging structure, a first light transmission layer and a shading packaging layer, the first optical sensing chip is arranged on the substrate and is electrically connected with the substrate, the dodging structure is arranged above the first optical sensing chip, and the first light transmission layer is electrically connected with the first light transmission layer. The vertical projection of the dodging structure at least covers the effective photosensitive area of the first optical sensing chip, the first light transmitting layer is arranged above the dodging structure, and the vertical projection of the first light transmitting layer at least covers the effective photosensitive area of the first optical sensing chip. The shading packaging layer is arranged on the substrate and packages the first optical sensing chip, the dodging structure and the side portion of the first light transmitting layer. The electronic equipment comprises the optical sensor. According to the utility model, the half-power angle of the light above the first optical sensing chip is enlarged, so that the application performance of the optical sensor is improved; and the dodging structure is embedded in the packaging structure, so that the miniaturization design of the optical sensor can be realized.

The invention belongs to the field of pharmaceutical preparations. The invention relates to lipid nanoparticles modified by probiotic coupled galactose and coated with diammonium glycyrrhizinate, L-arginine and copper tannic acid nano enzyme as well as a preparation method and application of the lipid nanoparticles. The lipid nanoparticles prepared by coupling and wrapping the diammonium glycyrrhizinate, the L-arginine and the copper tannic acid nano-enzyme with the probiotics have good biocompatibility, the preparation method is simple, the particle size distribution of the nanoparticles is uniform, the half-life period of a medicine circulating in a body can be prolonged, the inherent beneficial functions of the probiotics are cooperated, and the bioavailability of the medicine is improved. The potential application value is realized in the fields of treating the metabolic dysfunction related steatohepatitis and the like.

The invention discloses a high-dimensional seismic data denoising method and device. The method comprises the following steps: segmenting a high-dimensional seismic data volume into a plurality of data blocks by using a sliding window; taking the data block with the corresponding de-noised data as a sample to obtain a sample set, and training a Transform model to obtain a de-noising model; and inputting a plurality of data blocks obtained by segmenting the high-dimensional seismic data volume into a denoising model, and obtaining a denoised seismic data volume of the high-dimensional seismic data volume according to an output result of the model. According to the method, intelligent suppression of high-dimensional seismic data noise can be realized by using high-dimensional features of seismic data based on a deep neural network Transform model, and the denoising precision is high.

The sewing machine device includes a machine body, a base, a thread driving component, a thread plate, a thread hook, a clamping driving component, a clamping rocker, and a clamping pin. The base is installed on the machine body through a frame. The thread driving component is fixed on the base. The thread hook is connected to the thread driving component through the thread plate, and moves forward and backward and performs a thread action through the driving of the thread driving component and the driving of the thread plate. The clamping driving component is fixed on the base. The clamping pin is connected to the clamping driving component through the clamping rocker, and is adjacent to the thread hook and the lower part of the base. The clamping rocker rotates through the driving of the clamping driving component, so that the clamping pin approaches the lower part of the base to clamp and fix the upper thread, in the case of starting the sewing of a preset number of stitches, the clamping pin is away from the lower part of the base to release the upper thread, and the clamping driving component and the clamping pin are staggered through the clamping rocker.

The invention provides high-molecular-weight low-viscosity polyether polyol and a preparation method and application thereof.The preparation method includes the step that mixed dihydric alcohol serves as an initiator and reacts with an epoxy compound under the action of a double-metal cyanide complex catalyst and an auxiliary acid, and the mixed dihydric alcohol contains propylene glycol and bifunctional polyether polyol. By adopting the technical scheme provided by the invention, the ultra-high molecular weight and low viscosity polyether polyol for the MS adhesive can be prepared.

This invention relates to the field of building waterproof coating technology, and discloses a high-elasticity, high-adhesion spray waterproof coating, which is composed of component A and component B in a mass ratio of 10:1 to 12:1. Component A includes the following components and their mass parts: 40 to 55 parts of polyurethane prepolymer, 12 to 22 parts of cement-based composite filler, 1.0 to 2.0 parts of fluorosilicone modified halloysite, 0.6 to 1.4 parts of γ-(2,3-epoxypropoxy)propyltrimethoxysilane, 0.4 to 1.2 parts of polycarboxylate cement modifier, 0.2 to 0.7 parts of antioxidant 1010, and 0.1 to 0.5 parts of defoamer. This highly elastic and highly adhesive sprayable waterproof coating and its preparation method introduce γ-(2,3-epoxypropoxy)propyltrimethoxysilane into the coating system. Its epoxy groups can react chemically with the hydroxyl groups abundant on the surface of the cement-based substrate to form stable chemical bonds. At the same time, the cement-based composite filler in component A is homologous to the cement-based substrate material, which can improve the compatibility between the coating and the substrate and effectively solve the problem of weak adhesion of organic waterproof coatings.

The present application discloses a kind of hibiscus compound extract, its preparation method and application.The composite extract includes hibiscus exosome, hibiscus traditional active ingredient, snowbank flower extract and microalgae extracellular polysaccharide, wherein the hibiscus exosome and hibiscus traditional active ingredient are simultaneously extracted from hibiscus raw materials by integrated extraction process.The preparation method includes raw material pretreatment, integrated extraction, separation and purification, synergistic compounding and post-processing, and two types of active substances are efficiently and synchronously obtained by optimizing solvent, temperature, time and purification parameters.The composite extract exhibits excellent anti-aging, anti-inflammatory and moisturizing effects in cosmetics, and has excellent effects of regulating intestinal flora and enhancing immunity in functional foods.The process produces significant synergistic effect by combining specific synergistic components, and the effect is much better than single component or simple mixture, realizing the maximization of plant resources and the synergistic promotion of efficacy.

The present application relates to the technical field of automation control, in particular to a steel ring plate control method and system based on reinforcement learning and error compensation. The method comprises the following steps: acquiring a bidirectional positioning error of a mobile carrier associated with a target moving component; based on the bidirectional positioning error, accurately aligning a displacement sensor with a detection area of the target moving component, and generating a mechanism compensation result; acquiring original detection data collected by the displacement sensor after accurate alignment, preprocessing the original detection data, and fusing the mechanism compensation result with the preprocessed laser data to obtain a first fusion vector; based on the first fusion vector, performing optimization processing through a reinforcement learning model to output a first action vector representing an optimized motion state of the target moving component, wherein a reward function of the reinforcement learning model is constructed based on a matching degree between an actual motion state of the target moving component and the first action vector; and based on the first action vector, generating a follow-up control instruction for an actuator.

The invention discloses a dexterous hand force tactile sensor structure, which belongs to the technical field of tactile perception of robot dexterous hands, and comprises a first force arm, a second force arm, a contact slide rail and a fiber grating sensor, distances between hinge points of the first force arm and the second force arm and same-direction ends of the first force arm and the second force arm are equal; one side of the first force arm and one side of the second force arm are slidably connected with the contact sliding rail and correspondingly connected with the two ends of the elastic element. The fiber grating sensor is connected with the other sides of the first force arm and the second force arm; according to the invention, the fiber grating is used as a core sensitive element, and the two ends of the fiber grating sensor are synchronously triggered by matching the two force arms which are arranged in a crossed manner with the contact slide rail, so that the problems of large size, poor durability, easy interference, poor precision and the like of a traditional electrical sensor in dexterous hand application are solved.

This invention relates to a method for solving the inverse kinematics of a six-DOF offset serial manipulator based on dual quaternions, belonging to the field of manipulator design technology. The method is as follows: Six-DOF offset serial manipulators are classified into Type I and Type II. A reference coordinate system and an end-effector coordinate system are established for each type. The link lengths, position coordinates, unit direction vectors, and line spacings of each joint are defined, thus obtaining the Plück coordinates of each joint. Inverse kinematics analysis and solutions are performed for both Type I and Type II manipulators. The solution method is then validated. This invention achieves efficient inverse kinematics solving, meeting the real-time requirements for inverse kinematics solving speed in industrial scenarios and improving the control performance and application efficiency of manipulators in high-precision operation scenarios.

The application relates to the technical field of waterproof construction of building engineering, and discloses a waterproof structure at the interface between a temporary lattice column and a bottom plate of a foundation pit, which comprises a bottom waterproof layer, a fine stone concrete protective layer, a first-poured concrete bottom plate, an inner water-stop steel plate, an outer water-stop steel plate, a steel plate water-stop belt, post-poured expansion concrete and a grouting pipe; the waterproof structure is constructed into a bottom waterproof layer combined with sealing glue, inner and outer water-stop steel plates combined with water-swelling water-stop strips, a steel plate water-stop belt, post-poured expansion concrete, a pre-buried grouting pipe and other multi-channel waterproof measures, so as to form a complete waterproof system with prevention as the main part, multi-channel prevention and grouting remediation. The waterproof structure fully learns from the mature method of the post-poured water-stop joint, initiatively applies the post-poured water-stop idea to the waterproof structure of the interface between the lattice column and the bottom plate, and provides the waterproof structure at the interface between the temporary lattice column and the bottom plate of the foundation pit, which forms a multi-channel prevention system and has reliable waterproof effect.

The application belongs to the technical field of MAX phase material preparation, and particularly relates to a method for preparing MAX phase material based on natural metal minerals. The method comprises the following steps: mixing natural metal mineral powder, aluminum powder and graphite powder, and then ball milling to obtain activated precursor powder; pressing the activated precursor powder into a dense blank, and synthesizing a block material through self-propagating high-temperature reaction; crushing the block material and sieving to obtain a MAX phase powder material, wherein the natural metal mineral is rutile and / or chromite; and the general formula of the MAX phase powder material is (Ti 1‑x Cr x ) n+1 AlC n , wherein 0<=x<=1, and n is 1 or 2. The method is different from the prior art in reaction principle, realizes cost reduction and greenization of the whole chain of raw materials, synthesis and etching, and solves the problem of mineral impurities by using the instantaneous high-temperature characteristics of SHS.

The present application provides a kind of compound biocontrol agent and its preparation method and application technology, and it is composed of 1000ml of fermentation mixed liquor of multiple strains of biocontrol bacteria mixed in equal volume ratio and 0.5%-1.5% stabilizer with complementary mechanism and target.The fermentation concentrated solution of multiple strains of bacteria is prepared in fermentation medium to obtain the present application, which is used for preventing and controlling fusarium, pythium, phytophthora, rhizoctonia solani, ralstonia solanacearum, erwinia carotovora, streptomyces scabiei, xanthomonas campestris and other plant pathogenic bacteria and nematodes, which can inhabit in soil for a long time and spread through soil, and one or several of them can cause plant soil-borne diseases.The preparation process of the present application is not affected by too many chemical and physical factors, the activity of live bacteria and metabolites is high, the average control effect is 78%-85%, the application effect is good;The production process is simple, energy and auxiliary materials are saved, and the production cost is low.

This invention relates to the field of roadbed engineering construction scheduling technology, specifically to an intelligent scheduling method and system for roadbed filling and excavation operations based on multi-source data. The method includes the following steps: A multi-feature fusion network based on an attention mechanism and implicitly constrained by the scheduling decision space obtains global situational awareness features based on the semantic segmentation layer, road network state matrix, and dynamic safety risk index distribution map; a spatiotemporal graph convolutional network is used to model the dynamically changing vehicle-road network system, and combined with mechanical efficiency profiles and vehicle predicted trajectories, a transportation topology efficiency map representing the overall capacity and bottlenecks of the current transportation network is obtained; engineering rules are introduced as a reward function, and scheduling decisions are based on multi-agent collaborative reinforcement learning, combining engineering scheduling units, global situational awareness features, and the transportation topology efficiency map to generate optimal scheduling instructions. This invention achieves precise, dynamic, and collaborative scheduling of roadbed filling and excavation operations, effectively improving scheduling efficiency.

The invention discloses an EEG (electroencephalogram) emotion recognition method based on distribution progressive domain adaptive diffusion modeling, which comprises the following steps of: firstly, acquiring an EEG (electroencephalogram) signal, and forming a source domain feature and a target domain feature; secondly, constructing a feature extraction model, and obtaining corresponding source domain potential representation and target potential representation according to the source domain features and the target domain features; then, based on the potential representation of the source domain and the potential representation of the target, the distribution from the source domain to the target domain is aligned through DDEEG, and target domain classifier training is carried out; and finally, using the trained target domain classifier in a test stage, and based on the input EEG signal, identifying the emotional state of the target domain. According to the method, more stable cross-domain feature alignment is realized, mode collapse is effectively avoided, a category structure is kept, and the emotion recognition accuracy under cross-subject and cross-session conditions is remarkably improved.

This invention discloses primers, kits, methods, and applications for detecting pathogenic *Pseudomonas proteus* strains based on the *oprL* gene, belonging to the field of microbial detection technology. This invention provides specific primers for detecting pathogenic *P. proteus* strains based on the *oprL* gene. The primers are designed based on the differential patterns identified after multiple sequence alignment, specifically by analyzing the results of multiple sequence alignments of all *P. proteus* *oprL* gene sequences in the NCBI database. The nucleotide sequences of the primers are shown in SEQ ID No. 1, SEQ ID No. 2, and SEQ ID No. 3. The *oprL* gene of *P. proteus* is amplified by PCR, and the PCR amplification products are then subjected to electrophoresis. The pathogenicity of *P. proteus* can be effectively distinguished based on the electrophoresis image, enabling rapid detection of *P. proteus* infecting large yellow croaker. The primers have good specificity, and the detection method is simple and intuitive.

This invention provides a cathode roller for electrolytic copper foil, its grinding and polishing method, and its application. The method includes three-step grinding using a grinding device and two-step polishing using a polishing device. Specifically, the grinding device for the first step uses a grit size of any one of 46# to 120#; the grinding device for the second step uses a grit size of any one of 220# to 400#; the grinding device for the third step uses a grit size of any one of 600# to 1000#; the polishing device for the first step uses a mesh size of any one of 800 mesh to 1500 mesh; and the polishing device for the second step uses a mesh size of any one of 2000 mesh to 3500 mesh. This grinding and polishing method, by using a grinding device with a specific grit size for three-step grinding and a polishing device with a specific mesh size for two-step polishing, significantly reduces the surface roughness of the cathode roller, showing good application results in the manufacture of smooth, roughened, low-profile electrolytic copper foil.

The application discloses a PEDOT:PSS pre-fracture conductive network electrode and a preparation method and a capacitive pressure sensor thereof, and belongs to the technical field of flexible sensors.The preparation method of the PEDOT:PSS pre-fracture conductive network electrode comprises the following steps: uniformly mixing a PEDOT:PSS polymer aqueous solution and an elastomer matrix, adding a conductive reinforcing agent, and forming a PEDOT:PSS double-network film embedded in the elastomer matrix through heat annealing treatment; a strain is applied to the PEDOT:PSS double-network film, so that a conductive network of the PEDOT:PSS double-network film is fractured; and after the strain is released, the PEDOT:PSS double-network film is reorganized into the PEDOT:PSS pre-fracture conductive network electrode under the constraint and rebounding action of the elastomer matrix network.

This invention discloses a method and system for land resource spatial utilization planning, relating to the field of land planning. The method includes: acquiring relevant data of the planning area and performing standardized processing; constructing spatiotemporal land use units containing a time dimension based on a time-division strategy; receiving temporary land use event information and mapping it to corresponding spatiotemporal land use units; performing conflict verification based on preset constraint rules and generating permit determination results; comprehensively evaluating and ranking candidate schemes that pass the verification; and outputting temporary land use permit results, a control list, and audit logs. The system includes a data management module, a spatiotemporal unit construction module, a rule engine module, a ranking and evaluation module, and a result output module. This invention achieves integrated management of spatial and temporal dimensions, supports dynamic planning and risk identification driven by temporary land use events, and improves the standardization and traceability management level of land resource spatial utilization.

This invention relates to the field of construction management technology, specifically to a method and system for dynamic coordination of construction resources. The method includes the following steps: analyzing construction progress characteristics based on process completion data, dynamically decomposing material demand sequences to obtain final demand characteristics; calculating the status indicators of the construction resources based on their inventory status; integrating the construction progress characteristics, the final demand characteristics, and the resource-material-process correlation characteristics to obtain a comprehensive resource-process matching matrix; constructing a comprehensive risk assessment matrix using construction risk coefficients; and combining the status indicators, the comprehensive resource-process matching matrix, and the comprehensive risk assessment matrix to complete the dynamic coordination of construction resources based on a multi-objective genetic algorithm. This invention solves the technical problems of inaccurate progress prediction, mismatch between material demand and processes, incomplete resource assessment, and delayed risk response in existing construction resource coordination methods, achieving accurate, dynamic, and efficient coordination of construction resources.

The application discloses a lamp self-adaptive adjustment method and device based on environment sensing. The method comprises the following steps: sending an opening control instruction to the lamp when receiving the opening information; acquiring environment detection information collected by an Internet of Things sensor and judging whether the adjustment condition is met; if the adjustment condition is met, analyzing the environment detection information, acquiring adjustment configuration parameters corresponding to the analyzed environment characteristics, and sending corresponding adjustment control instructions to the lamp to adjust the lamp according to the adjustment configuration parameters. Through the above method, the environment detection information can be acquired based on the Internet of Things sensor to realize environment sensing, the adjustment configuration parameters are set based on the environment sensing, and corresponding adjustment control instructions are sent to realize the adjustment of the brightness and color temperature of the lamp based on the environment change, so that the user does not need to manually adjust, the convenience of the lamp adjustment is greatly improved, and the application effect of the lamp adjustment is improved.