124 results about "Environmental indicator" patented technology

Environmental indicators computed for a particular environment are converted into a transmittable data format each of the environmental indicators is computed by electronic environmental measurement device from among multiple diverse electronic environmental measurement devices. Environmental indicators are transmitted to a portable data processing system associated with a user, which analyzes each of the environmental indicators according to an environment sensitivity profile stored at the portable data processing system for the user. Control signals are determined by the portable computer system for adjusting multiple environment control systems that control the particular environment in response to the analysis, such that a particular environment is temporarily managed by a portable data processing system according to environmental sensitivities of a particular user located within that particular environment.

The invention provides an intelligent monitoring decision system for stall-fed hen house environment indexes, and application thereof in a culture field. The system consists of an environment index data real-time acquisition device, a center control system, a display terminal, partial relays and the like; the system can monitor eight indexes in a hen house, namely temperature, humidity, illumination intensity, carbon dioxide, carbon monoxide, ammonia, hydrogen sulfide and air turbidity which mainly affect the environment quality of the hen house, and provides automatic or expert consultation-type decisions according to the environment index change of the hen house; by starting and switching off equipment of illumination, air blower (fan), heating and wet curtain and the like in the hen house, specialized fine management of the hen house environment is realized, the hen house environment is purified, and respiratory diseases of chicken flocks are reduced; and meanwhile, stress and disease propagation caused when people access the hen house are reduced, and the economic benefit of raising the chicken is improved.

The invention discloses a highway tunnel operation environment safety risk automatic judgment method. The highway tunnel operation environment safety risk automatic judgment method, starting from comprehensive tunnel operation environments in four major aspects, that is, road environment index, traffic circulation environment index, traffic engineering facility environment index and climatic environment, extracts main evaluation index of the highway tunnel operation environment through a Delphi method, carries out sensitivity analysis on the evaluation index, establishes a highway tunnel operation environment evaluation index system, determines weight of each evaluation index through an AHP method and an entropy weight method, and carries out safety evaluation on the highway tunnel operation environment through a fuzzy comprehensive evaluation method.

One embodiment of the present invention provides a system for determining venue information associated with a mobile device user. During operation, the system collects contextual information recorded by one or more sensors located on the mobile device and extracts a behavior pattern of the user as a function of time and / or an environmental indicator based on the collected contextual information. The system then compares the behavior pattern and / or the environmental indicator with known behavior patterns and / or environmental indicators associated with a number of venues stored in a database, and determines a venue associated with the user based at least on the comparison.

The invention relates to an electric power system operation reliability-centered equipment importance evaluation method. The method comprises the following steps of: 1, determining power transmission equipment needing to be evaluated; 2, selecting an element needing to be evaluated; 3, storing system initialization operating environment data; 4, restoring a system initialization operating environment; 5, evaluating an annual electric power system risk; 6, judging whether the number of specified operating times is reached or the calculation precision requirement is met, if the number of specified operating times is reached or the calculation precision requirement is met, entering a step 7, and if the number of specified operating times is not reached or the calculation precision requirement is not met, returning to the step 4; 7, counting system reliability and risk indicators; 8, judging whether all elements needing to be evaluated are evaluated, if all the elements needing to be evaluated are evaluated, entering a step 9, and if all the elements needing to be evaluated are not evaluated, returning to the step 2; and 9, counting element importance indicators, sequencing the element importance indicators, integrating corresponding economic indicators, safety indicators and environment indicators of a system after each equipment is launched, superimposing the economic indicators, the safety indicators and the environment indicators according to certain weight to obtain the corresponding overall indicators of the equipment, and sequencing the overall indicators.

An automatic alarm system has an alarm device having a sensor and a telephone having a telephone number. The telephone may be wireless. When the sensor senses a predetermined environmental indicator, the alarm device calls a receiver in a location separate from the alarm device to send an alarm. The receiver may identify the location of the alarm device by its telephone number or an identification code. The receiver can call the alarm device to confirm the alarm and monitor events around the alarm device. The alarm device may include a camera.

The invention provides a system capable of intellectually selecting an electric energy supplement mode, comprising an input electric energy system, a charging loop selector, an intelligent controller and an output electric energy receiving device, wherein the input electric energy system adopts modes of transformation of wind energy into electrical energy, transformation of solar energy into electrical energy or common utility power, and the intelligent controller takes a microprocessor as a core and is connected with other system components through different wire types to achieve the purpose of intellectually selecting different electric energy input modes to supplement electric energy for the output electric energy receiving device according to environmental indicators. The system capable of intellectually selecting the electric energy supplement mode can effectively realize maximum utilization ratio of solar energy and wind energy as well as automatic adjustment according to temperature and humidity of an installation position, thus really achieving intelligent control and uninterrupted power supply, improving service life of a storage battery and saving energy. The invention further provides a system for intellectually selecting a power supply mode for power supply of an illuminating device.

A first lacrosse head constructed from a first material having first properties or a second lacrosse head constructed from a second material having second properties is selectively used in lacrosse activities, based on environmental conditions, such as temperature, humidity and / or solar activity, to provide generally consistent head performance as perceived by a lacrosse player across a range of environmental conditions. The first and second heads can be identical in structure, but constructed from different materials. For example, the first head can include a polyamide, optionally, Nylon 6,6 polyamide, and the second head can include a high performance polyamide resin, optionally a polypthalamide. An environmental indicator that provides visual and / or audible output with regard to environmental conditions can be included with at least one of the first head, the second head and a shaft to which the heads can be joined. Related methods of use are also provided.

The invention provides a safe big data storage method. The method comprises the following steps of: monitoring a preset monitoring index which represents the storage safety of storage equipment, wherein the preset monitoring index comprises a working environment index; and in response to the fact that an index value of the working environment index of the storage equipment is abnormal is monitored, adjusting a storage manner of stored data according to a preset processing strategy corresponding to the working environment index, the index value of which is abnormal. The invention furthermore provides safe big data storage equipment. According to the safe big data storage method and equipment, the working environment of the storage equipment is detected through a sensor, and corresponding processing is carried out when the working environment is abnormal, so that the damage, caused by the environment abnormity, of the stored data is avoided and the safe storage of big data is realized.

Disclosed are a natural ventilator and a real-time indoor air quality monitoring method. The natural ventilator comprises a shell, an outdoor rain retaining plate, indoor air supplying outlets, an insect blocking net, regulating handles, an elastic curtain, an indoor air quality monitoring sensor module, a data transmitting module, a data receiving module, a data analyzing and processing module, a data storage module and a display panel. Electrical signals monitored through air quality monitoring sensors arranged indoor are transmitted to the data receiving module through the data transmitting module and then are subjected to digital-to-analogue conversion an analytical processing through the data analyzing and processing module to obtain various of indoor environment parameters and overall indoor fresh air volumes; the data are displayed in real time through the display panel and stored in the data storage module. The natural ventilator has the effect of ventilating while a window is closed, and various indoor environmental indicators and the overall indoor fresh air volumes can be monitored in real time, so that a user is enabled to know indoor environment and ventilation status more visually.

The invention discloses a crop suitability evaluation method based on environment information. The method comprises crop data acquisition, soil environment information acquisition, calculating condition setting, matching degree calculating and an output result step. Through collecting crop data, a crop information database is formed. A crop database includes a suitable value of a crop environment index and a weight occupied by the index. The soil environment information is collected so as to form a soil environment database. According to the data of the two and through a weight index and a method, a suitable degree value of the soil environment information to crops is calculated so as to guide agriculture production. Data support and a scientific basis are provided for programming, protection, management and decision making of farmland environments of a poor rural area and other areas. A long-term mechanism that rural poor people become rich through their labor is realized.

The invention provides a greenhouse control method based on CFD numerical simulation. The method includes the steps that a CAD model is established for a greenhouse; a boundary condition is set for the CAD model; a monitoring point is appointed in the CAD model, and a PID control parameter primary value is set for environment equipment in the CAD model; CFD is used for simulating and calculating an environment index numerical value of the monitoring point according to the boundary condition and the PID control parameter primary value; PID control parameters are regulated to enable the environment index numerical value of the monitoring point to reach a target value; the greenhouse is controlled according to the regulated PID. Thus, according to the greenhouse control method based on the CFD numerical simulation, the PID parameter setting is simulated and achieved through calculating, and efficiency is high. According to a preferred implementing method, the PID parameter setting of the greenhouse is more accurate, an engineer does not need to go to the greenhouse, or the PID control parameters of the greenhouse can be determined when the greenhouse is at the design stage, and the greenhouse is controlled according to the determined PID control parameters.

The embodiment of the invention provides an electric vehicle path planning method and system based on double-strategy search, and the method comprises the steps: carrying out the sorting of all staticcustomers in a target distribution region based on a K-nearest neighbor algorithm, and obtaining at least one initial distribution sequence; For any one initial distribution sequence, generating an initial scheduling sequence according to the initial distribution sequence by using a preset scheduling generation algorithm; Optimizing and adjusting the initial distribution sequence and the initialscheduling sequence in sequence by using a double-strategy search algorithm to obtain a candidate scheduling sequence; And selecting the candidate scheduling sequence with the shortest total path fromall the candidate scheduling sequences based on a path shortest principle as a target scheduling sequence, and obtaining an electric vehicle path planning scheme for the static client according to the target scheduling sequence. According to the method and the system, the accuracy and the quality of an electric vehicle path planning result are ensured, meanwhile, computing resources required by electric vehicle path planning can be effectively reduced, and economic and environmental indexes in the distribution process can be optimized.

The invention relates to the technical field of biology, in particular to a microbiological incubator with the functions of Internet of Things. The microbiological incubator comprises an incubator body, a stacking device, a feeding device and a control device, wherein the incubator body comprises an operation box and an anaerobic chamber; the operation box and the anaerobic chamber are separated by a separating door; the feeding device comprises a transferring component and a handling component; the stacking device comprises a supporting frame and a driving component; the control device comprises a controller and a sensor component which is electrically connected with the controller. The microbiological incubator disclosed by the invention has the functions of the Internet of Things; a first camera and a second camera monitor the inner part of the incubator in a real-time manner; an operator can remotely watch culture state of microorganisms in the incubator and read various environmental indicators through a mobile phone or a computer; by matching a non-oxygen tank with a dehumidifying device, the inner part of the incubator is in a positive air pressure state relative to the outer part of the incubator by gas supply and further oxygen is prevented from flowing into the incubator each time when an incubator door is opened.

The invention discloses an intelligent environmental protection detection system. The system comprises a data acquisition module, a cloud server and a monitoring center. the data acquisition module comprises a plurality of sensor nodes randomly scattered in a monitoring area and a base station device located in the center of the monitoring area, the sensor nodes are used for collecting environmental data of the monitoring area and transmitting the collected environmental data to the base station device, and the base station device converges the environmental data collected by the sensor nodesand transmits the environmental data to a cloud server. The environment data in the monitoring area are acquired through the data acquisition module, the monitoring center determines whether the air in the monitoring area is polluted or not according to the acquired environment data and the preset air quality index, and then a worker is notified in time to take targeted measures to improve the environment index in the monitoring area. Environment data is collected and transmitted through the wireless sensor network, wiring is not needed, and intelligence and convenience are achieved.

One embodiment of the present invention provides a system for determining venue information associated with a mobile device user. During operation, the system collects contextual information recorded by one or more sensors located on the mobile device and extracts a behavior pattern of the user as a function of time and / or an environmental indicator based on the collected contextual information. The system then compares the behavior pattern and / or the environmental indicator with known behavior patterns and / or environmental indicators associated with a number of venues stored in a database, and determines a venue associated with the user based at least on the comparison.

The invention provides an integral sleep improvement device based on multi-sensor information. The integral sleep improvement device overcomes the defect that the existing medicine for sleeping assisting has side effect. The integral sleep improvement device is applicable to the individualized sleeping improvement requirements of different people groups in different environments, and better applicability is realized on the environment. The integral sleep improvement device adopts an ARM (Acorn reduced instruction-set computer machine) processor with high-speed processing capability as a core, and the information analysis and processing and the peripheral equipment control are realized. Periphery equipment mainly comprises three parts including an information collecting system, an environment control system and a man-machine interaction system. The external environment conditions and the body state of users are monitored through a sound wave detection instrument, a temperature sensor and a body feature sensor arranged on the pillow, the processor carries out information analysis after receiving monitored information, sends regulating instructions to the environment control system, and automatically regulates various environment indexes for improving the sleeping of users, the users can also realize the individualized setting through the man-machine interaction system, the environment parameters can be changed for meeting the individualized requirements, and the integral sleep improvement device has the advantage that the environment adaptability is high.

The invention provides a cloud computing based intelligent adjusting system of the machine room environment. Aimed at a distributed machine room system, a cloud-end platform used for intelligent machine-room environment adjustment is established; and on the basis of environment index monitoring data collected from different front-end machine rooms, the cloud-end platform can determine the execution environment states of the machine rooms in an overall way, and controls environment adjusting means and facilities of the machine rooms remotely. Thus, the hardware and software cost for establishing integrated environment control platforms for the different machine rooms respectively can be omitted, the environment control standards can be unified conveniently, and the environment control strategies can be updated conveniently; and cloud computing enables different complex algorithms to realize a fine control strategy, improves the intelligent degree of environment adjustment, and enhances the flexibility and adaptiveness.

The invention discloses an Internet of things-based livestock breeding environment automatic adjustment and control system. The system includes a collector, a controller, a collection concentrator, a control concentrator, a collection and control integrated base station, a livestock automatic environment adjustment and control server, a PC environment adjustment and control client end, a mobile phone environment adjustment and control client end, an expert strategy module, a data analysis module and a configuration module. The invention also discloses an adjustment and control method of the above adjustment and control system. According to the method, comprehensive control on an environment in a livestock breeding house based on microenvironment indicators inside the livestock breeding house and macro-environment indicators outside the livestock breeding house. According to the adjustment and control system of the invention, signal collection, data analysis, terminal remote communication, equipment control and the like are integrated on one body and are utilized in a comprehensive and associated manner, so that an Internet of things-based fully-networked management, adjustment and control system can be formed. The system is suitable for large-scale livestock farms. With the adjustment and control method adopted, collection and control of a microenvironment inside the livestock breeding house and a macro-environment outside the livestock breeding house are fused, and more scientific and effective environmental adjustment and control on the environment in the livestock breeding house can be realized.

The invention discloses a disease prevention warning system and an implementation method. The disease prevention warning system comprises a test terminal used for testing various health indexes of human body and sending the test result to a data processing terminal, wherein the data processing terminal is in communicative connection with the test terminal and used for receiving the test result, does the preprocessing in combination with real-time environmental indicators and basic user information, according to the normal physiological parameters of human body, obtains direct preprocessing data and the direct test result and sends the test result to the test terminal; and then a data mining algorithm is adopted to process and analyze the preprocessing data, basic user information and direct result to acquire final disease prediction result and prevention warning information that are sent to the test terminal for the purpose of warning users in real time.

The invention discloses a flight vehicle health state monitoring system based on distributed optical fiber sensing. The flight vehicle health state monitoring system comprises a motion detection unit, an operation detection unit, an atmospheric environmental indicator detection unit, a central processor, an early warning unit, and a wireless communication module. The motion detection unit is used for the real-time detection of the flight velocity and the flight height of the flight vehicle. The operation detection unit is used for the real-time detection of the attitude information, the pressure-bearing information, and the vibration information of the flight vehicle. The atmospheric environmental indicator detection unit is used for real-time detection of air temperature, dust concentration, and illumination intensity. The system is used for the comprehensive monitoring and analysis of the main rotor, the tail rotor, the transmission system, the parts of the engine of the flight vehicle by using external sensors to realize the integral health monitoring of the flight vehicle. The health state fault of the flight vehicle is diagnosed and predicted, and powerful data support is provided for the health monitoring, and therefore the targeted, timely, and effective maintenance of the flight vehicle is realized, and good economic benefits and good military benefits are provided.

The invention belongs to the technical field of planting industry informatization and provides a site layout method and a system for testing the corn planting environment. The method comprises the steps of acquiring the region data of a to-be-layout region; according to the region data, subjecting the planting environment of the to-be-layout region to grid division and clustering division so as to obtain a division result; based on a preset space stratified sampling model and a sampling precision, obtaining test sites of a required minimum number for each region in the division result; based on a preset space balance sampling algorithm, conducting the layout for test sites of the minimum number. In combination with planting environment indexes for the to-be-layout region, the analysis is conducted. Based on the spatial clustering and space stratified sampling theory, the layout of corn multi-environment test sites can be determined. Therefore, the test site layout reasonability is improved.

The invention provides a working occasion healthy light environment control method and system having shift adaptability. The working occasion healthy light environment control method comprises the steps of acquiring working information and environmental information, wherein the working information comprises a work and rest schedule information and individual parameter information of a worker, andthe individual parameter information comprises a physiological parameter, a psychological parameter and a job performance parameter; acquiring optimal light environment parameter of each worker according to the working information and the environment information; and controlling a light environment of a working occasion according to the optimal light environment parameter. By the working occasionhealthy light environment control method, the shift and work and rest schedule mode can be adopted by adjusting a light environment index according to feedback of individual physiological fatigue period characteristic of an operator, a working occasion healthy light environment mode which is suitable for individual physiological characteristic and widely applied to various shift and non-shift operation is built, fatigue is favorably relieved, the working efficiency is improved, and sleep is improved.

The embodiment of the invention provides a method and device for predicting the shelf life of harvested fresh grapes. The method comprises the following steps: by analyzing main factors influencing the shelf life of harvested fresh grapes, calculating the shelf life of the fresh grapes in constant-temperature and variable-temperature environments by adopting an analytic hierarchy process on the basis of environmental indexes, sensory indexes and physical and chemical indexes, and generating network model training and testing data; designing the number of hidden layer nodes and a radial basis function of the network by utilizing the super-strong self-adaptive capability and self-learning capability of the RBF neural network so as to improve the convergence speed and learning capability of the network; The center and width of the radial basis function of the hidden layer are optimized by adopting fuzzy clustering, so that global optimization is ensured; The genetic algorithm is adopted to optimize the network weight value and continuously adjust the network weight value, the network is prevented from falling into a local minimum value easily, and the network stability and the generalization capability are improved.

The present invention provides an agricultural product greenhouse monitoring system based on an IOT. Agricultural product greenhouse data and video data collected by a field collection control system are uploaded to a data processing platform through a network transmission system, the data processing platform uploads processing data to a monitoring center, the monitoring center carries out reprocessing on the processing data through a planting environmental analysis system, controls relay control equipment through a planting electromechanical control system and displays final data through a terminal display platform. According to the system, various data of greenhouse environmental indicators are collected through sensors, the agricultural product specific growth in a greenhouse is observed through network cameras, the automatic management of automatic ventilation, lighting, irrigation and the like is realized, the data transmission is stable, and the control process is intelligent.

The invention belongs to the field of energy and chemical industry and relates to a gasification system for recycling high-temperature sensible heat. The system includes the following process steps: 1. a pretreatment process; 2. a gasification process; 3. a sensible heat recovery and utilization process; 4. a waste heat convection recovery and ash separation process; 5. a dry ash removal process;6. a cooling washing process; 7. a slag treatment process; and 8. a black water treatment process. High-grade heat energy generated by gasification can be recovered while synthesis gas producing, by-product steam is used for power generation, the heat energy recovery rate of the gasification system is improved, the production cost of coal chemical products is effectively reduced, pollutant emission is reduced, and environmental indicators are superior.

The invention discloses a virtual power plant multi-objective bidding control and optimization method based on dependent chance programming, comprising the following steps: determining the management indicators of a virtual power plant, and constructing a virtual power plant model according to the environmental indicators, customer satisfaction indicators and economic indicators; constructing a virtual power plant bidding model based on a dependent chance programming method and by taking the converter station charge and discharge power as a decision-making value and the actual output of a wind farm and the actual conversion demand of electric vehicle users as random variables; and carrying out multi-objective optimization of the virtual power plant bidding model based on a converter station charge and discharge power constraint, a converter station storage capacity constraint and an end-of-cycle power constraint, and determining the planned charge and discharge power of the electric vehicle converter station and the planned output of the virtual power plant after optimization. In view of the uncertainty of the wind power output and the conversion demand, the degree to which managers attach importance to the management indicators and the level at which the managers take risks can be effectively considered so as to formulate a power generation plan meeting the expectation as much as possible.

A magnesium-based crystal ceramic decorative integrated board belongs to the technical field of inorganic plywood. The invention comprises at least one substrate; a layer of hot-pressed interface adhesive coating layer; The composition of the above-mentioned surface hardening layer is an impregnated film obtained by adding aluminum oxide in different proportions to the melamine resin glue. The integrated board of the present invention uses a magnesium-based inorganic board as the substrate, uses modified melamine and phenolic resin as the interface hot-pressing bonding layer, and the surface is impregnated with melamine mixed adhesive resin for decorative paper, and is covered with the impregnated aluminum oxide hardened adhesive film at the same time. The magnesium-based crystal porcelain surface decoration integrated board obtained by hot pressing together with the magnesium-based substrate coated with the interface layer has good decorative properties, wear resistance, water resistance, and fire resistance. The surface of the magnesium-based crystal porcelain decorative board can have high gloss, matte, and embossed lines, which can meet various sensory needs of consumers. The preparation method has low cost, simple synthesis method, and can meet environmental protection indicators.