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.

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.

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 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.

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 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.