26 results about "Environmental regulation" patented technology

This invention discloses a device and method for coordinated control of temperature and humidity in an oxygen chamber, belonging to the field of environmental regulation technology. The device includes a shell, a humidification module, a wet curtain, a drive module, and a floating component. The shell has a first air outlet, and a fan is fixedly installed inside the shell. The wet curtain is located between the fan and the first air outlet. The humidification module delivers water to the top of the wet curtain through a water supply channel to ensure that the wet curtain remains moist. External air enters the system through an air inlet, passes through a filter to remove impurities, and is guided by the fan through the wet curtain. Heat and humidity exchange occur when the air passes through the wet curtain, water evaporates into the air, and heat is absorbed, lowering the air temperature and increasing the humidity. The floating component moves with the rise of the water level, causing the drive module to change position, reducing the amount of water sprayed, and preventing over-humidification.

This invention relates to the field of environmental control technology, and discloses an AI-based predictive adaptive environmental regulation method and system for prefabricated cabins. The method includes calculating the equivalent temperature and humidity within the prefabricated cabin; acquiring predicted temperature and humidity sequences over a time range t; determining the start-up and shutdown timing of the equipment based on a comparison of the predicted temperature and humidity sequences with environmental parameter limits; and continuing to acquire predicted data after the equipment completes the start-up and shutdown commands. This invention avoids conflicting operation and ineffective start-up and shutdown by constructing a dynamic control mechanism for the equipment; simultaneously, it achieves predictive proactive control to prevent environmental parameters within the prefabricated cabin from exceeding safety thresholds. Combined with dual operating modes, it flexibly switches control strategies according to the type of equipment within the prefabricated cabin, effectively reducing environmental fluctuations and suppressing condensation within the cabin, thereby reducing the equipment failure rate.

The present application provides a kind of carbon emission trend prediction method based on polynomial regression and neural network, comprising: S11, respectively constructs the carbon emission model and flow chart model of whole life cycle;S12, data cleaning and pretreatment are carried out to carbon emission model and flow chart model, and high-quality data are output;S13, high-quality data are updated by dynamic updating mechanism;S14, a carbon emission prediction model is established using polynomial regression analysis method, carbon emission data are input into the carbon emission prediction model, and carbon emission trend prediction result is output.The present application can improve the accuracy and timeliness of high-carbon emission data, shorten the evaluation period, reduce the cost, and provide a strong basis for environmental regulation and protection decision.

The application provides a multifunctional soil conditioner for improving the continuous cropping obstacles of yam and a preparation method thereof, the multifunctional soil conditioner comprises a nutrient component, an intelligent responsive component, an environmental regulation component and an additive, the mass ratio of the nutrient component, the intelligent responsive component, the environmental regulation component and the additive is 4-5:1:1-2:1-1.5, the nutrient component is earthworm compost, potassium humate and modified zeolite, the intelligent responsive component comprises mesoporous silica, ferulic acid and chitin oligosaccharide, the environmental regulation component comprises electron beam irradiation modified potassium polyacrylate, polyglutamic acid and polyacrylamide, and the additive comprises calcined diatomite and calcium carbonate, the soil conditioner provided by the application is not only rich in nutrients, but also has good water retention performance, and can well improve the continuous cropping obstacles of yam.

The application discloses a livestock breeding excrement treatment and recovery device, which comprises a controller, a pretreatment module electrically connected with the controller, a biological conversion cabin, a separation assembly and an environmental regulation module; the pretreatment module comprises a feeding bin in a cylindrical structure, a feces feeding port and an auxiliary material feeding port are arranged at the top of the feeding bin, a crushing mechanism is arranged in the feeding bin, a guide pipe is arranged at the bottom of the feeding bin, and the guide pipe is connected with the biological conversion cabin; the biological conversion cabin comprises a shell, a door body is arranged on the shell, an observation window is arranged on the door body, at least three layers of storage trays are arranged in the shell, adjacent storage trays are connected through columns, the columns penetrate through the storage trays, one end of the column away from the storage tray is connected with the top of the shell, and a separation bin is arranged at the bottom of the shell; the separation assembly comprises a fan, an interception box and a storage box arranged in the separation bin. The device realizes efficient harmless treatment and resource recycling of livestock breeding excrement.

This invention discloses an environmental control method and system for preserving spicy chicken products, relating to the field of intelligent storage technology. The method includes: collecting environmental status data in real time using sensors deployed within the storage space of the spicy chicken products; constructing a machine learning quality prediction model, inputting the environmental status data and storage duration, and outputting a predicted quality loss value for the spicy chicken products; constructing a multi-objective fitness function based on the predicted quality loss value, and using an improved gray wolf optimization algorithm to iteratively update the environmental control decision vector to find the environmental control decision vector with the optimal global solution; and converting the optimal environmental control decision vector into control commands to drive the environmental regulation equipment until the environmental parameters of the storage space reach the target value. The method of this invention quantifies quality loss through a machine learning model, and the improved gray wolf algorithm avoids regulation failure caused by control decisions getting trapped in local optima.

This application relates to the field of smart home technology and discloses a method for environmental regulation, comprising: classifying all smart devices in the home environment according to their functional attributes to obtain multiple groups of smart devices of different categories; when environmental parameters in the home environment are detected to exceed standards, obtaining the type and amount of the exceeding parameters; determining the target smart device group based on the type of the exceeding parameters; and regulating the target smart device group based on the amount of exceeding parameters to improve the home environment. This solution, by intelligently classifying smart devices in the home environment and intelligently identifying the type of exceeding parameters when environmental parameters exceed standards, accurately locates and regulates the relevant smart device groups, effectively improving the home environment. It solves the problems of resource waste and poor treatment effect in traditional single-device processing methods, fully utilizes the collaborative relationship between multiple devices, and improves the efficiency and effectiveness of environmental regulation. This application also discloses a device and terminal equipment for environmental regulation.

This invention relates to the field of livestock farming environmental control technology, and in particular to a method for precise regulation of livestock housing environment based on electromyography (EMG) signals. The method includes: collecting EMG signals from livestock under different environmental conditions using a wearable EMG signal acquisition device worn on the livestock; preprocessing the collected EMG signals to extract EMG signal features; constructing a mapping regulation model between environmental changes and livestock physiological states using machine learning algorithms; in actual farming scenarios, collecting EMG signals from a selected number of livestock in real time and transmitting them to the regulation model to analyze and evaluate the livestock's perception of the current environment; summarizing the analysis results using a voting mechanism; and adjusting the environment within the livestock housing according to the regulation results. This invention provides a novel technical solution for intelligent environmental regulation in modern livestock farming, possessing significant technical promotion value and industrial application prospects.

The utility model discloses a kind of mine microseismic monitoring instruments of adaptive environmental regulation placement position, the utility model relates to mine monitoring technical field, the alarm part includes alarm device, signal receiving chip and signal transmission chip are arranged in the alarm device, the signal receiving chip is electrically connected with signal transmission chip.This mine microseismic monitoring instrument of adaptive environmental regulation placement position is provided with alarm part, signal receiving chip and signal transmission chip are arranged in alarm part, when signal receiving chip in one of alarm part receives vibration signal, information is transmitted to signal transmission chip, signal transmission chip sends signal, after the signal sent by signal transmission chip is received by adjacent alarm part, signal can continue to be sent to adjacent alarm part, by layer by layer transmission, until signal is sent to ground, so that signal is transmitted to ground more stable, signal cannot be transmitted to ground without appearing situation.

This invention relates to the field of intelligent building environment control technology, specifically an adaptive environmental regulation system. It utilizes an AI strategy module with an integrated edge computing platform, housed in the main control cabinet. Based on outdoor weather forecasts, local climate information, and group behavior patterns, the module performs multi-parameter environmental control strategy reasoning to generate adaptive environmental regulation commands. Simultaneously, a master-slave hierarchical control architecture is employed. Based on centralized optimization decisions in the main control cabinet, regional autonomous regulation and user interaction are achieved through various user terminals. The AI ​​strategy module further uses predictive models and optimization algorithms to predict future environmental loads based on historical environmental data and real-time conditions, calculating the optimal control parameters for each environmental regulation device. This system not only significantly improves the accuracy and foresight of environmental regulation through AI predictive control and real-time optimization, but also ensures global strategy coordination and energy efficiency optimization through the master-slave hierarchical architecture, guaranteeing rapid response and system reliability for regional control.

This invention provides a method and system for delaying the phenological stage of fruit trees, belonging to the field of fruit tree cultivation regulation technology. The method includes: acquiring environmental parameter data and fruit tree status data within the environmental area enclosed by the canopy of the target fruit tree and constructing an equivalent temperature; constructing a growth preparation index and a target growth trajectory to obtain deviation data between the growth preparation index and the target growth trajectory; generating an environmental regulation strategy and driving the growth preparation index to evolve along the target growth trajectory; during the execution of the environmental regulation strategy, constructing a judgment factor based on the fruit tree status data and dynamically correcting the environmental regulation strategy according to the judgment factor. This invention achieves stable delay and phenological matching of the fruit tree growth initiation time through coordinated temperature and photoperiod regulation combined with state feedback.

This invention relates to a method for the breeding and management of mantises, a natural enemy insect, based on environmental simulation. It belongs to the field of mantis breeding and management technology. This invention constructs an environmental regulation capability prediction model to predict the environmental regulation capability data of each type of environmental regulation equipment within a preset time period. It also acquires the living environment data of the mantises' habitats within the preset time period. Finally, based on the living environment data and environmental regulation capability data of the mantises' habitats within the preset time period, environmental simulation is performed, and abnormal states within the mantises' habitats are monitored. This invention improves the survival rate of mantises in breeding and reduces breeding costs by simulating the living environment data of mantises' habitats based on suitable living environment data.

The utility model discloses a kind of curved insect governance systems, it includes environmental regulation device, screen window barrier device and atomization barrier device, environmental regulation device includes humidity sensor, frequency conversion sprayer and controller, controller is electrically connected humidity sensor and frequency conversion sprayer;Screen window barrier device includes several insect-proof screen window, atomization barrier device includes several high-pressure micro-mist sprayer.In the utility model, environmental regulation device can be adjusted and maintain environment relative humidity to not less than 80%, to make curved insect be in non suitable breeding interval, to inhibit curved insect hatching rate;Insect-proof screen window blocks curved insect into, and prevents and treats bird into curved room;Multiple high-pressure micro-mist sprayer forms water mist barrier outside insect-proof screen window, to wet curved insect wing, to inhibit curved insect flight ability, to avoid curved insect fly to insect-proof screen window;Summarized above, the curved insect governance system can improve curved insect control effect.

The utility model relates to intelligent lifting table technical field especially based on speech recognition's intelligent lifting table, innovatively with speech recognition, environmental regulation and lifting function through customization hardware architecture and hierarchical control algorithm depth fusion. Its technical core includes: time multiplexing communication bus management multimode instruction, strain gauge type dynamic load monitoring and heat-mechanical-electric integrated structure design, significantly improved the function density and reliability of intelligent furniture, applicable to high -end office, medical treatment and education scene.

The present application relates to the technical field of agricultural machinery operation regulation, in particular to a smart agricultural machinery operation regulation system and method based on artificial intelligence and the Internet of Things, which quantifies the standard reaching of crop growth in each growth stage and the growth balance degree between different stages, accurately identifies the necessity of regulation, captures the multi-stage growth difference anomaly caused by environmental regulation imbalance in time, effectively solves the problem of fuzzy regulation demand judgment in staggered planting scenarios, uses the control variable method to strip the independent influence of a single environmental parameter, quantitatively calculates the action weight of each parameter on crop growth, and then determines the regulation priority according to the weight order, which can accurately lock the core environmental parameter that has the greatest impact on the current crop growth, so that the regulation resources are concentrated in the key link, which not only improves the regulation efficiency, but also reduces the invalid consumption of agricultural machinery resources, and at the same time adapts to the differentiated needs of crops in different growth stages for environmental parameters.

The present application relates to the field of photovoltaic power generation, and particularly relates to a local climate regulation and power generation gain method and system for a desert photovoltaic power station; environmental data and equipment state data in an internal area and an upwind area of the photovoltaic power station are collected in real time to generate standardized data; the standardized data is input into a coupled climate model for prediction to generate a prediction result; based on the prediction result, a global optimization target of maximizing a net present value of power generation gain is considered, power generation loss avoided by intervention, energy cost consumed by intervention, and loss cost of intervention actions on equipment life are comprehensively considered to generate an optimal control scheme; according to the optimal control scheme, a distributed array of environmental regulation equipment is dispatched to perform physical intervention; the present application realizes a change from passive operation and maintenance to active regulation and control of the desert photovoltaic power station, and significantly improves power generation efficiency and reduces operation and maintenance cost.

This invention provides a method and system for inspecting the assembly quality of electricity meters based on production environment control, belonging to the field of electricity meter inspection technology. The method includes: real-time acquisition of data during the assembly process of the electricity meter to obtain dynamic environmental parameters and assembly status data of key processes; environmental noise compensation to generate environmentally adaptive assembly features; construction of an assembly quality twin model based on a deep residual network, performing forward calculations to obtain the predicted assembly quality level of the electricity meter; root cause analysis when the level falls below a preset threshold to identify key environmental disturbance factors; generation of closed-loop control commands for local environmental regulation, and construction of an optimization strategy for electricity meter assembly quality. This invention solves the technical problem that existing technologies often neglect dynamic changes in the production environment, resulting in the failure to timely compensate or correct the impact of environmental factors on electricity meter assembly quality, thus leading to insufficient accuracy and stability of quality inspection results.

This invention discloses an adaptive variable viscosity controllable solidification composite grouting material for preventing water and mud inrush in deep engineering, as well as its preparation and application methods, belonging to the field of tunnel and underground engineering technology. To meet the needs of preventing water and mud inrush in deep engineering, this invention provides an adaptive variable viscosity controllable solidification composite grouting material. By introducing a variable viscosity functional polymer with association properties, the grout's retention and scour resistance in the target sealing area are enhanced. Microcapsules are added to the main grout, and combined with the environmental regulation effect of the triggering agent grout, targeted and rapid sealing of deep water and mud inrush channels is achieved. A multi-scale particle system composed of silicate cement, alumina cement, mineral admixtures, silica fume, and nano-silica improves the integrity and long-term impermeability of the water-stop curtain and the reinforced body. While ensuring performance, this invention reduces engineering costs and environmental risks, fully meeting the needs of preventing water and mud inrush in deep engineering.

Systems and methods are provided for mixing and gas exchange in bioreactors, particularly small-volume and high-aspect-ratio bioreactors such as wells of multi-well plates. A movable displacement body is positioned within a vessel containing a liquid culture medium and is periodically moved relative to the vessel to displace and mix the medium. The displacement body includes or is associated with a gas exchange interface that permits transfer of gases between the gas exchange interface and the liquid culture medium during movement of the displacement body. Mixing and gas exchange occur concurrently as a result of displacement-based flow, enabling efficient oxygenation, carbon dioxide removal, and environmental control while limiting shear stress and avoiding gas sparging.

This invention discloses a fluorine-free waterproof coating material and its preparation method, comprising the following components in parts by weight: 55-75 parts polydimethylsiloxane, 12-22 parts composite silane coupling agent, 3-6 parts hydrophobic reinforcing agent, 2-5 parts wear-resistant reinforcing agent, 1-4 parts antioxidant stabilizer, 0.5-2 parts crosslinking accelerator, 0.3-1.5 parts film-forming aid, and 0.2-1.2 parts weather-resistant modifier. The coating material is completely free of fluorine compounds, and after film formation using a resistive evaporation coating machine, the film thickness is 20-30 nm, with an initial water droplet angle ≥113°. All components of the coating material of this invention are free of fluorine compounds, fundamentally solving the problems of traditional fluorine-containing materials being difficult to degrade, posing health risks, and being restricted by environmental regulations. It meets the requirements of global environmental regulations and brand environmental commitments, and is a green and environmentally friendly product with broad market application prospects.

The present application relates to the technical field of intelligent monitoring of agricultural environment, in particular to a real-time monitoring and processing system for soil temperature and humidity based on artificial intelligence, comprising: a data acquisition module, which periodically acquires multi-dimensional original data under the mulch through a sensor array; a data modeling module, which aligns and cleans the data in time and space, and constructs a three-dimensional environmental field model; a feature extraction module, which extracts key environmental features by calculating the local difference of environmental parameters in the time and space dimensions and filtering the areas exceeding the sensitive threshold; a prediction control module, which inputs the key features into a pre-trained dynamic evolution neural network, predicts the future evolution trajectory of the environmental field and generates a high-dimensional environmental state prediction tensor, and based on this, solves the optimal environmental regulation instruction combination that meets the crop growth constraints. The present application can accurately identify local environmental anomalies and make forward-looking predictions of the dynamic evolution of the entire environmental field, thereby realizing intelligent and refined agricultural environmental regulation.

This invention provides a method for monitoring and regulating the planting environment of Poria cocos based on intelligent sensors, belonging to the field of environmental monitoring and regulation technology. It utilizes a distributed intelligent sensor network to collect real-time data on soil temperature, humidity, and pH parameters at multiple locations within the Poria cocos planting area. The data is preprocessed and standardized using a time-series sliding window algorithm to generate an accurate and dynamic environmental parameter matrix. Based on this, the invention can effectively divide the planting area into micro-environmental units. By constructing an environmental similarity index and generating a micro-environmental distribution map, it enables the formulation and execution of targeted environmental regulation strategies. This significantly improves the monitoring coverage and parameter regulation accuracy of the planting environment, enhances the growth quality and yield of Poria cocos mycelium, and facilitates the efficient utilization of planting resources and intelligent management of the planting process. This solves the problems of inaccurate monitoring and regulation, resource waste, and limited yield in existing technologies.

This invention relates to an intelligent building environment control method based on multimodal perception, belonging to the field of environmental control system technology. This invention extracts the characteristics of personnel distribution and activity intensity from visual images and accurately converts them into dynamic metabolic rate parameters at the data layer. This enables the system to adapt to sudden changes in the state of personnel within the building in real time and proactively, greatly improving the adaptability and agility of environmental regulation. Simultaneously, it introduces physiological rhythm model parameters based on system time series to weight and correct the real-time predicted average vote index, effectively compensating for the shortcomings of traditional thermodynamic evaluations that neglect non-visual biological effects of the human body, thus improving the overall comfort of personnel within the space. Guided by the output comprehensive comfort target value, the algorithm coordinates the HVAC, lighting, and shading systems, completely changing the situation where each subsystem operates independently. Under the premise of strictly ensuring dynamic comfort, it achieves a deep reduction in the overall operating energy consumption of the building control system.

The utility model discloses a multifunctional cowshed environment regulation and control device, including the cowshed body of setting, the cowshed body top inside installation has the slide rail, the slide rail inside slide connection has the sliding block, the water storage tank is connected through the installation component under the sliding block, the water storage tank lower portion is provided with the regulator and the control box, the control box inside installation has the motor, the regulator and motor are electric connection, the motor output end is connected with the rotating shaft, the rotating shaft outside installation has the fan. This multifunctional cowshed environment regulation and control device, the whole device is slid with the slide rail and the sliding block, can move along the cowshed body top, the whole moving structure breaks the limitation of fixed installation, greatly expands the coverage of environmental regulation, reduces the problem that the cowshed use space is affected by setting multiple detection structures, the fan operation realizes the air circulation in the cowshed, and the whole structure is simple, reduces the problem that the maintenance cost increases by setting complex system.

The application discloses a kind of soil culture ganoderma lucidum growth methods, belong to edible mushroom planting technical field, to solve the technical problems of poor soil adaptability, extensive environmental regulation, unstable quality of existing ganoderma lucidum soil culture.The method includes five steps of site selection and soil preparation, base preparation and laying, inoculation, controllable humidity management, environmental regulation and harvesting, selects particle size 0.005-0.05mm, organic matter content 0.8%-1.5%, pH value 7.2-8.0, water retention porosity 35%-45% of shanxi original loess as matrix, collocating composting broadleaf sawdust and other raw materials to prepare base, realize accurate humidity control by straw mulching+timed spraying, combined with base fermentation, gravel layer laying and other optimization measures, without using chemical pesticides and fertilizers throughout the process.The application adapts to the growth characteristics of ganoderma lucidum, can effectively improve the survival rate, dry product rate and medicinal ingredient content of ganoderma lucidum, realize high-quality, high-yield, green scale planting of ganoderma lucidum, and has good popularization and application value.

This invention provides an intelligent temperature control system and control method utilizing a novel phase change material, relating to the field of temperature control system technology. The method includes: an environmental sensing module for real-time acquisition of environmental parameters; a heat exchange module including a heat exchanger using the novel phase change material; wherein the novel phase change material comprises a porous matrix, a phase change substrate filled in the porous matrix, and nanomaterials dispersed in the phase change substrate; a multifunctional environmental regulation module including an air purification unit and / or a humidity control unit; and an intelligent control module for analyzing and processing the environmental parameters, the operating parameters of the heat exchange module, and the multifunctional environmental regulation module using deep learning models and reinforcement learning algorithms to obtain the optimal operating parameters for the heat exchange module and the multifunctional environmental regulation module. This invention can significantly reduce operating energy consumption while improving the environmental adaptability of the equipment and overall user satisfaction, enabling temperature control equipment to evolve towards higher efficiency, intelligence, and multifunctionality.