48 results about "Environment management" patented technology

The present application relates to the field of smart city environment management, and more particularly to a carbon emission information data analysis method and system based on CIM, which overcomes the drawback of ambiguous spatial location of emission data in traditional methods by implementing precise coding matching and binding of CIM spatial units and carbon emission data. The above spatial characteristics and real-time dynamic data are input into a strength analysis model based on machine learning. Personalized intelligent evaluation is achieved. After identifying high-emission units, the method can use the established precise spatial mapping for reverse intelligent tracing, quickly locating and quantifying specific activities and sources causing high emissions, and achieving precise diagnosis. Based on the clear diagnosis conclusion, further combined with the knowledge base and optimization algorithm, customized and quantifiable emission reduction strategies are automatically generated. Finally, differentiated results are pushed to different roles.

The invention discloses a snow blocking and collecting adjustment control system in a snow blowing extreme environment, and belongs to the technical field of environment management. According to the invention, an acquisition module is arranged and is used for acquiring meteorological data and building data of a target area where a traffic rail is located, and collecting stress data of a snow blocking device; the identification module is used for predicting accumulated snow data and corresponding risk data of each sub-position in the target area according to the meteorological data, the building data and the stress data; and the control module is used for determining a snow collection scheme according to the accumulated snow data and the corresponding risk data of each sub-position. The technical effect of reducing resources consumed by snow blocking and snow collecting is achieved.

This invention discloses a novel pollutant source apportionment and dynamic risk quantification assessment method coupling APCS-MLR and PMF, relating to the field of environmental management technology. The method includes: collecting pollutant concentration data from environmental samples, preprocessing the data to construct a data matrix; running various models to perform source apportionment based on the data matrix, extracting source apportionment feature information, and matching the pollution sources identified by each model to obtain high-confidence source matching pairs; fusing the source contribution concentrations of the two models based on the high-confidence source matching pairs to obtain a fused contribution concentration; calculating the ecological and human health risk values ​​of each pollution source based on the fused contribution concentration to obtain source-specific risk values, calculating the risk contribution rate of each pollution source, and outputting a list of high-risk sources. This invention solves the problems of insufficient accuracy and reliability of source apportionment using a single model, and addresses the issues of the disconnect between source apportionment results and risk assessment, making it difficult to identify high-risk pollution sources.

Provide a system. 【Solution means】 Means for collecting environmental data from a plurality of data sources related to a group, Means for integrating the collected environmental data and complementing or deleting missing values and inaccurate data, Means for performing analysis to identify trends and patterns using the integrated data, Means for constructing a model for predicting future environmental risks based on the analysis results, Means for creating proposals for supporting strategic decision-making based on the prediction model, Means for displaying the generated proposals on an information display device and transmitting information to users, Means for automating part of the activity process, Means for continuously monitoring the operating status of the system and updating the system to comply with the latest technologies and regulations, Means for providing a training program aimed at improving the technical understanding of users, A system including means for providing information to visualize energy consumption and environmental management at the city level to citizens.

The present application relates to construction environment management technical field, specifically, it is a kind of cleaning device for cleaning construction ground, including loading vehicle body, push shovel component, clamping component and holding component, push shovel component includes push plate, connecting frame and mounting plate, connecting frame is rotatably connected to push plate and mounting plate, and mounting plate is connected to vehicle frame body and is set to the front side of the direction of travel of loading vehicle body.Driving motor group drives the rotation of clamping force arm.Coupling frame includes first hydraulic rod and second hydraulic rod, the height of push shovel component can be controlled by first hydraulic rod, and the contact angle of push plate and ground and garbage can be adjusted by second hydraulic rod, so that the cleaning device can be suitable for different height construction cleaning scene, garbage is smoothly pushed to relatively concentrated area, and subsequent clamping component is convenient for clamping and processing garbage.

The application relates to the technical field of environmental risk assessment, in particular to a water environment micro-plastic risk assessment method under multiple environmental factors, which comprises the following steps: constructing a micro-plastic pollution database and a multiple environmental factor resource database; pre-processing and feature engineering are performed on original data, core environmental driving factors are screened, and a standardized modeling data set is formed; a risk assessment model is constructed by fusing a harmful outcome path framework, a micro-plastic risk quantitative value is calculated by a weighted comprehensive index method or a machine learning algorithm; a final risk grade is determined in combination with a risk grade division standard and a toxic polymer adjustment mechanism, and an environmental management decision suggestion is output. The application solves the problems of single evaluation index, insufficient consideration of environmental factors, weak machine interpretation and insufficient prediction ability in the prior art, and realizes accurate and dynamic risk assessment of water environment micro-plastic pollution.

The application belongs to the technical field of environmental management, and specifically relates to an indoor environment optimization management system and method based on big data analysis, which comprises a personnel state evaluation module, a regulation mechanism adaptation module, a comfort threshold value formulation module and a regulation strategy generation module.The personnel state evaluation module delimits an indoor environment regulation boundary range according to building ontology physical data, and determines a current indoor human settlement load state in combination with personnel activity behavior.The regulation mechanism adaptation module corrects an environment parameter regulation benchmark mechanism to obtain a dynamic regulation adaptation mechanism.The comfort threshold value formulation module generates environment interference analysis data, and corrects preset environment comfort threshold values to obtain dynamic comfort threshold values in combination with material release evolution law.The regulation strategy generation module is used for generating a dynamic regulation strategy by performing linkage regulation optimization on indoor temperature and humidity, air quality and fresh air equipment according to the dynamic regulation adaptation mechanism.The application can significantly improve the comfort and health degree of the indoor environment, realizes on-demand distribution of energy, and greatly reduces the overall energy consumption of the building.

This invention relates to the field of lake and reservoir water environment management and aquatic ecological restoration technology, and particularly to a stratified, ex-situ synergistic ecological restoration system and method for mountainous lakes and reservoirs. The ecological restoration system includes a multi-level exogenous nutrient capture and mineralization system, an endogenous release active inhibition and water quality stratified regulation system, a structure-function synergistic restoration system for water level fluctuation zones, and an intelligent decision-making system based on multi-source data fusion. The ecological restoration method includes exogenous nutrient interception and morphological transformation, stratified, ex-situ synergistic algae control, ecological reinforcement and pollutant blocking in water level fluctuation zones, and robust adaptive regulation of the system. This invention achieves full-chain synergistic restoration of mountainous lakes and reservoirs, especially deep-water lakes and reservoirs, through a multi-integrated synergistic mechanism encompassing "pollution source interception—morphological transformation—thermocline dynamic tracking and targeted oxygenation—long-term regulation of slow-release oxygen-releasing ecological substrates—gradient plant quantitative configuration—composite geotextile impermeable blanket chemical fixation—coupled model predictive proactive regulation," demonstrating promising prospects for widespread application.

The application discloses an AI machine room system and an intelligent operation and maintenance method thereof, and the system comprises a civil engineering module, a power supply module, an electromechanical module, a smart machine room SU system and a machine room integrated management system; the civil engineering module comprises an aerogel wall body, a prefabricated assembly type room body and a base station tower pole integrated structure; the power supply module comprises an intelligent PDU, an intelligent small bus, a photovoltaic system and a light storage system; the electromechanical module comprises an elastic heat bin, a self-cleaning intelligent fresh air system, an evaporative cold water curtain fresh air system, a non-powered air cap, a direct current heat exhaust system and a heat energy inter-row air conditioner; the smart machine room SU system comprises a personnel management unit, a device management unit, an environment management unit and an intelligent maintenance unit; and the machine room integrated management system comprises a data acquisition and monitoring unit, a data analysis and decision support unit, a resource optimization and scheduling unit and a safety control and early warning unit. The application solves the bottleneck problems of a traditional data center in terms of high energy consumption, high carbon emission, high operation and maintenance cost and low elastic expansion capacity.

The application relates to a method and system for controlling multi-level security classification of cloud users, and belongs to the technical field of computers.The method comprises the following steps: judging whether a scanning server is normally running; in the case that the scanning server is normally running, determining the security levels of a subject and an object based on a BLP model and a Biba model, the subject being used for indicating a user or a process that sends an access resource request, and the object being used for indicating data or resources that are accessed; performing read-write operations on the subject according to the security levels of the subject and the object; in the case that the read-write operations are performed on the subject, setting the permissions of the subject, and adjusting the security level of the object based on abnormal alarm information.The method can significantly improve the security of a cloud environment, enhance the access control accuracy, optimize the cloud environment management, and promote compliance.Commonly, a safer, more reliable and efficient cloud service environment is provided for cloud users.

A system for simulating pollutant transportation includes an import module, an analysis module, a simulation setting module and a simulation output module. The system is used to provide accurate simulation of pollutant transportation by adapting to different types of pollutants and environmental conditions, and is convenient for more accurate and timely decision-making in pollution control and environmental management. A method for simulating pollutant transportation is realized through elements of the system for simulating pollutant transportation.

This application provides a sampling system and application for rock geological environment management, including sampling tool components. This application uses electromagnetic control to direct the magnetic poles of a third electromagnet. When the magnetic poles of the third electromagnet are opposite to those of a fourth magnet, a repulsive force is generated between the third electromagnet and the fourth magnet, pushing the fourth magnet away from the third electromagnet. This, in turn, drives a second gear to rotate via a first toothed plate, which in turn drives the first gear to rotate. The first gear then moves the second toothed plate, pushing out a second arc-shaped toothed plate. The second arc-shaped toothed plate engages with a fixed tooth to fix the fixed tooth.

The utility model belongs to the field of mushroom cultivation technology discloses a kind of soil-covered mushroom cultivation system, including environmental management module and cultivation bin;Several mobile platforms are provided in cultivation bin, and several columns of cultivation boxes are placed on each mobile platform, the cultivation box is open structure and is equipped with culture medium, and each column of cultivation boxes is placed in overlap;Management module includes the air pump of connecting the air supply road in cultivation bin and the water supply component of connecting the water supply road in cultivation bin, further include the temperature control component for adjusting temperature in cultivation bin, temperature sensor and humidity sensor, which are data-connected with management module, are provided in cultivation bin and each cultivation box, and the temperature of real time according to temperature sensor feedback is used to control temperature to cause culture medium to ferment at least twice by aeration and supply of fermentation broth in each cultivation box.The utility model system provides automated efficient mushroom cultivation site and management mode, to save cost and improve yield and scale.

A method for managing a production environment includes obtaining a notification for an alert event for the production environment, in response to the notification: making a determination that a resource limitation is exceeded by the alert event, based on the determination, performing a resource elasticity process based on a priority list to increase the resource limitation to a new resource limitation such that the alert event does not exceed the new resource limitation, wherein the resource limitation is based on available computing resources in the production environment, and resolving the alert event after the increase of the resource limitation.

This invention relates to the fields of environmental engineering and environmental management, and in particular to a method for determining and dynamically allocating allowable pollutant emissions in industrial parks. First, the pollution carrying capacity is calculated based on the target water quality and hydrological conditions of the receiving water body. Then, the upper limit of total emission control for the park is determined by combining the emission proportions of various pollution sources in the region. Next, wastewater emission data and applicable concentration limits of enterprises in recent years are collected to calculate the initial quota for each enterprise and summarize the initial total value. Finally, a dynamic adjustment mechanism is established, comparing the initial total value with the control upper limit. If the limit is not exceeded, the initial quota is used; otherwise, enterprises are graded according to a performance evaluation system covering green, low-carbon, water resource, water risk, and water environment compliance dimensions, and the quota is adjusted according to a differentiated verification coefficient to ensure that the total amount does not exceed the upper limit. This invention makes emission determination appropriate to the water body's carrying capacity, incentivizes enterprises to improve environmental performance, enhances the flexibility and scientific nature of emission management, and contributes to the stability of water environment quality and the upgrading of environmental protection levels in industrial parks.

This invention relates to the field of geological environment management and ecological restoration technology, providing a system and method for accelerating the weathering and greening of rock slopes. The system includes a microbial-induced weathering subsystem, an anchored grid subsystem, a stepped greening subsystem, and a maintenance subsystem. The microbial-induced weathering subsystem sprays microbial inoculum onto the rock slope surface to accelerate surface weathering and form a biocemented layer. The anchored grid subsystem is installed on the slope treated by the microbial-induced weathering subsystem and includes anchor bolts, horizontal grid beams, and multiple vegetation units. The stepped greening subsystem is set within the vegetation units and includes a water-retaining and seepage-proof layer, a soil matrix layer, and a vegetation layer arranged from bottom to top. The maintenance subsystem includes a sensor network, a control unit, and irrigation and nutrient supply devices. This invention effectively accelerates surface weathering of rock, enhances the stability of the greening system, and significantly reduces long-term maintenance costs.

The application relates to the technical field of construction environment management, and discloses an anchor cable construction dust monitoring system and method based on multi-source data fusion, which comprises a collection module, a transmission module, a fusion module, an analysis module, a feedback module and a traceability module; the collection module collects dust particle parameters, construction process related data and environment supporting data to form a three-dimensional original data set; the transmission module determines the priority of dust inducing data and performs differential precision preprocessing; the fusion module forms a unified dimension key data set through feature alignment, redundancy elimination and attention weight fusion; the analysis module analyzes dust concentration levels, diffusion trends and influence ranges; the feedback module dynamically adjusts the early warning threshold and outputs graded early warning; and the traceability module realizes full-process data traceability. The application realizes accurate monitoring, trend prediction and graded early warning of anchor cable construction dust, improves the refinement and intelligent level of construction dust control, and reduces the influence of dust pollution on the surrounding environment.

The invention relates to a full-chain data governance and quality control method for environment management, and belongs to the technical field of artificial intelligence. The method comprises the following steps: collecting and marking four types of heterogeneous monitoring data of atmosphere, water quality, weather and remote sensing, and constructing a data set; designing an adaptive normalization function according to the physical characteristics of each data source, and generating a structured feature vector; an environment full-chain monitoring data classification model is constructed, the model comprises a multi-scale adaptive graph convolution unit, a cross-source interactive attention unit and an adaptive gating unit, and a weighted interval binary cross entropy loss function is adopted for training; and normalizing new data, inputting the normalized data into the model, and outputting an environment state probability. According to the method, physical characteristics of data can be reserved, intra-source and cross-source association can be captured, the model robustness and classification precision are improved, closed-loop management and control of data quality are realized, and support is provided for environment management decisions.

The present application relates to the technical field of comprehensive energy system and resource environment management, in particular to an energy-water-carbon chain coupling evaluation method and system based on artificial intelligence driving. The method comprises the following steps: collecting energy, water, carbon and scene correlation data, drawing an evaluation boundary and determining a scene type; screening real attribute nodes and supplementing missing information according to different time scales, and identifying and constructing two types of virtual nodes; based on the combination of physical mechanism and AI algorithm, calculating the correlation weight of real attribute nodes and the core elements of energy-water-carbon, and the influence correction coefficient of virtual nodes; constructing a deep learning hybrid coupling model containing a physical constraint layer and optimizing it; based on the model, carrying out multi-time scale coupling evaluation and dynamic prediction; and outputting a report of the optimized scheme. By introducing the energy dimension and virtual node processing mechanism, and combining the AI model with physical constraints, the present application improves the evaluation accuracy and reliability of the four-dimensional coupling system of energy-water-carbon, and adapts to the decision-making needs of multiple scenes.

This invention discloses a method and apparatus for precise source tracing and analysis of atmospheric ozone pollution. Based on the concentration data of each VOC species among multiple species monitored at ambient air quality monitoring stations, the ozone generation potential of each species is determined; the ozone generation reactivity of each species is determined; key VOC species for ozone generation are screened based on both ozone generation potential and ozone generation reactivity; mobile VOC monitoring is conducted around the ambient air quality monitoring stations, and automatic offline sampling and laboratory analysis are performed at high-value TVOC sites; key pollution sources for ozone generation at the ambient air quality monitoring stations are identified and subject to control. This invention provides a more comprehensive analysis of atmospheric ozone pollution, accurately identifying specific pollution sources and better providing technical support for environmental management.

This invention discloses a method and system for optimizing ship cabin environments based on crew status. The method includes: real-time collection of crew activity data, physiological data, and environmental data through a multi-source sensor network; construction of an environmental status assessment index system based on an improved AHP-entropy weight method and calculation of weights; obtaining status levels using a grey-fuzzy comprehensive evaluation method; optimization based on deep reinforcement learning using a multi-agent simulation model to generate cabin equipment layout and environmental control schemes; and visualization of environmental status distribution and provision of decision support through a digital twin platform. This invention can improve the accuracy and real-time performance of environmental status assessment, optimize space utilization efficiency, enhance the scientific and dynamic nature of cabin environment management, and effectively solve problems such as incomplete data, inaccurate evaluation, and delayed optimization in existing technologies.

The application discloses a kind of transboundary pollution dynamic responsibility definition methods suitable for large-scale river network area, it is related to transboundary water environment management and pollution control technical field.This method estimates and identifies the responsibility definition range that has significant influence on transboundary section water quality by one-dimensional steady-state water quality model in combination with pollution influence weight along the way, on this basis, according to each local control unit division or control section distribution;Combining the river network distribution and hydrodynamic dynamic monitoring data in each space unit, calculate the pollutant carrying capacity of river network area that can reflect the characteristics of spatio-temporal dynamic change;At the same time, combined with river network area sewage distribution and dynamic monitoring, calculation, determine the dynamic over-standard discharge pollution load of each space unit in the definition range;Finally, combined with the calculation of one-dimensional steady-state water quality model of transboundary river, determine the pollution transport process influence coefficient of each space unit in large-scale river network area to carry out dynamic correction calculation, to realize transboundary pollution management and control dynamic responsibility definition.

This invention provides a simulation method for multi-media environmental wind, solar, and thermal analysis, belonging to the field of computer simulation technology. The method includes steps such as model conception, model establishment, multi-media analysis, and overall summarization. The method provided by this invention can offer accurate simulations and predictions in multiple fields such as meteorology, urban planning, ecological environment management, and renewable energy assessment.

The utility model provides slope protection structure for mine geological environment management, including slope main part, still include: N type seat, the number of N type seat is several, and several N type seats are fixedly installed to the slope face of slope main part in rectangular array, the vegetation planting box is installed in the inside of N type seat, and is provided with the baffle frame on the inner edge of N type seat, locking mechanism, the both sides of baffle frame all are provided with locking mechanism, and the locking mechanism is connected with the slot cooperation of setting on the side wall of vegetation planting box. The rainwater and silt of vegetation planting box top can be blocked, reduce the possibility that silt, gravel enters vegetation planting box, play the role of protection.

The present application belongs to the field of urban water conservancy environment management, and mainly relates to a water conservancy environment risk early warning analysis method and system based on big data, aiming to solve the problem of insufficient water level abnormal fluctuation description ability of the existing technology under the combined working condition of pump gate combined drainage and river network jacking under extreme weather; by fusing multi-source monitoring data and dispatching feedback, a water conservancy link diagram is constructed, integrated modeling and learning are carried out by using a whole network conditional space-time graph neural network, and synchronous estimation of the real-time output capacity of the node device and the river network propagation time delay is realized; not only the water level change of the target section in the future period can be accurately predicted, but also the evolution trend of key water quality indexes such as ammonia nitrogen and dissolved oxygen can be jointly predicted, and the water quality change of the urban water conservancy environment can be predicted; based on the multi-dimensional prediction results, a hierarchical early warning is automatically generated, thereby significantly improving the early warning accuracy and decision-making efficiency of the urban water conservancy environment facing the combined risk.

The application discloses an active damping and intelligent airflow coordination control system for a clean room, and relates to the technical field of purification engineering. Technical scheme highlights of the application are as follows: the system comprises an equipment bearing platform, an active damping module, a micro environment management module, a sensor network and a central coordination controller, the active damping module is arranged below the equipment bearing platform and is used for offsetting vibration transmitted to the equipment bearing platform, the micro environment management module comprises a core working area surrounding equipment and a support frame decoupled from vibration of the equipment bearing platform, and the micro environment management module is used for providing directional clean airflow to the core working area and trapping pollutants. Through arrangement of various modules and coordination control between the modules, the application not only guarantees a clean environment of the core working area, but also avoids introducing new vibration disturbance to the equipment bearing platform.

The invention discloses an agricultural integrated energy park optimization control method considering environmental capacity constraints, which optimizes a multi-energy scheduling strategy and improves energy utilization efficiency. The method comprises the following steps: firstly, constructing a multi-energy system operation control and pollution emission model, quantifying the influence of pollution emission on the environment, introducing environment capacity constraint, and evaluating and dynamically adjusting an energy scheduling strategy in real time; and then, proposing an optimization control model based on a fuzzy membership degree, and processing a nonlinear relationship between agricultural production requirements and energy supply by adopting a fuzzy theory. Secondly, providing a comprehensive planning method based on environmental capacity evaluation, and solving a long-term energy configuration scheme by adopting dynamic planning; and finally, proposing an optimization control model based on data driving, predicting an energy demand and a pollution emission trend by adopting a deep learning algorithm, dynamically adjusting an operation strategy, and ensuring efficient operation of the system under the constraint of the environmental capacity. According to the invention, energy-environment collaborative management can be realized, the operation efficiency is improved, and sustainable development is promoted.

The application relates to the technical field of IP network equipment operation and maintenance management, and discloses an IP network equipment operation and maintenance management visual system based on digital twinning, which comprises an equipment deployment data acquisition module, a data construction unit and a visual conversion unit, an equipment environment interference evaluation module, an equipment environment evaluation unit and an environment interference evaluation unit, and an operation and maintenance management module, which comprises an equipment environment management unit, a regional environment fluctuation management unit and an update performance evaluation unit. The system analyzes the environment where the equipment is located, constructs an equipment environment evaluation coefficient, constructs a temperature fluctuation heat map after an equipment environment risk instruction is issued, constructs a top-down heat map and an arrangement heat map based on a completed two-dimensional projection of a top-down direction and a two-dimensional projection of a cabinet arrangement direction, and evaluates the difference of temperature environment interference fluctuation of a current equipment storage area, so that a dispatching management personnel can check the equipment storage area.