257 results about "Environmental monitor" patented technology

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

A power and environmental monitoring system includes a power distribution unit, a power monitoring system including an internal sensor for monitoring power consumption characteristics of power supplied to equipment coupled with the power distribution unit, an environmental monitoring system including an internal sensor for monitoring environmental characteristics in a physical environment occupied by the power and environmental monitoring system, and a network connection. The power monitoring system and the environmental monitoring system share a common interface accessible via the network connection. The power distribution unit includes an I/O port for connecting an external sensor, and the environmental monitoring system is configured for receiving environmental characteristics sensed by the external sensor. The common interface comprises a series of Web pages for displaying characteristics sensed by the power monitoring system and the environmental monitoring system. An alarm is provided for alerting an operator that a characteristic has reached an alarm threshold.

The invention provides an intelligent intra-vehicle air quality management system and a use method thereof. The intelligent intra-vehicle air quality management system comprises an intra-vehicle air detection device, a wireless data transmission module, a positioning module, a cloud server, an intra-vehicle air quality adjusting device and a mobile terminal device. The intra-vehicle air detection device uploads detected intra-vehicle air quality data to the cloud server through the wireless data transmission module. The positioning module unloads position information of a vehicle to the cloud server. The intra-vehicle air quality data, extra-vehicle air quality data obtained after data correction conducted by an environmental monitor station and air quality standard limiting values are comprehensively compared and analyzed through the cloud server to generate purification decisions, the purification decisions are sent to the mobile terminal device through the wireless data transmission module, and a user is reminded to use the intra-vehicle air quality adjusting device optimally. By the adoption of the system, the different purification decisions are generated through the cloud server, and intelligent management of the intra-vehicle air quality is achieved through alternate application of closed and open type purification manners.

An environmental monitoring device comprises a data bus, a multitude of sensors, at least one processing unit, input/output device(s); communications interface(s), and memory. Communications interface(s) communicate with at least one environmental sensor device comprising with a multitude of sensors. The multitude of sensors may include particle counter(s), pressure sensor(s) and/or the like. The memory is configured to hold data and machine executable instructions. The machine executable instructions are configured to cause at least one processing unit to: collect sensor data from at least one environmental sensor device; and generate a report of sensor data that exceeds at least one threshold.

The invention discloses an evaluation method of soil organic carbon (SOC) storage in ecological forest, which belongs to the field of environmental monitor technology and low carbon economy and technology in forestry ecology. In the preparation method, the attribute data of the soil landscape type are obtained and subject to characteristic analysis to acquire the landscape pattern information. Soil typical sections are excavated and layered, and soil samples are collected and pre-treated. SOC information of the above soil samples is determined by potassium bichromate volumetric method and SOC estimation model is established thereby. Quantitative estimation of the SOC storage is carried out and multivariate data of the ecological forest are obtained. Temporal and spatial features and change law of soil organic carbon are analyzed. Characteristics and regularities of ecological effect of the ecological forest with carbon as the core are reflected by the method of the invention. The method also reflects the change law and objective characteristics of ecological forests comprehensively and systematically, thereby guiding the objective practice of CO2 emission reduction and the eco-economic development.

A disk drive includes an environmental monitor, a controller and a writing mechanism. The controller acts in response to an output from the environmental monitor to determine if the data capacity of a disk drive could be increased from a first value to a second value. The controller determines the second increased value. The writing mechanism, controlled by the controller, writes data to the disk to realize the increased data capacity of the disk drive. A method for increasing the data capacity of a disk drive from the factory settings for data capacity includes determining if the disk drive is in a favorable or stable environment, writing data to at least one portion of the disk drive at a higher capacity than the factory setting for the at least one portion of the disk drive, and resetting the capacity for at least one portion of the disk drive.

An environmental monitor device with a database comprises a data bus, a multitude of sensors, at least one processing unit, input/output device(s); communications interface(s), and memory. Communications interface(s) communicate with at least one environmental sensor device comprising with a multitude of sensors. The multitude of sensors may include particle counter(s), pressure sensor(s) and/or the like. The memory is configured to hold data and machine executable instructions. The machine executable instructions are configured to cause at least one processing unit to: collect sensor data from at least one environmental sensor device; store at least some of the sensor data in at least one database; and generate a report of sensor data that exceeds at least one threshold.

The invention discloses a long-distance water environment monitor and monitoring method based on Zigbee and GPRS (General Packet Radio Service). The long-distance water environment monitor and monitoring method is to divide the water area needed to be monitored into a plurality of small monitoring areas, a plurality of secondary node modules and a main node module are configurated in each monitoring area and the secondary node module and the main node module in the whole monitoring area are connected in a star-like mode. A water quality parameter collecting module collects water quality parameters and sends the parameters to a second zigbee wireless communication module, the second zigbee wireless communication module sends the parameters to a first zigbee wireless communication module in a relay transmission mode through the zigbee protocol networking, ARM (Advanced RISC Machines) processer fuses and processes data and transmits the data to long-distance end network monitoring center through a GPRS module, the main node module controls the entrance and exit of the secondary node module and monitors the working condition of the secondary node module and the Zigbee and GPRS technology are combined to monitor the water environment in real time at the long-distance end.

The invention discloses a manhole cover monitoring system based on Internet of Things. The manhole cover monitoring system comprises manhole covers and is characterized in that each manhole cover is provided with an electronic tag, a sensor and an environment monitor, wherein the sensor is used for monitoring the working state of the manhole cover, the electronic tag is used for recording coded messages of the manhole cover, and the environment monitor is used for monitoring the external environment information of the manhole cover; and the manhole cover monitoring system further comprises a cloud server, and the cloud server detects information of units and manager information of the manhole covers through the electronic tags, monitor the working states of the manhole covers through the sensors in real time and monitor the external environment information of the manhole covers through the environment monitors in real time. The invention further discloses the intelligent manhole cover.

The invention provides an energy management system applied to industrial park. The system comprises an energy management center server, a data acquisition unit and an auxiliary communication device. The energy management center server is connected with the data acquisition unit, the data acquisition unit is connected with the auxiliary communication device, and the auxiliary communication device is connected with a field device and a power dispatching mechanism. The field device comprises a power conversion system (PCS), a battery management system (BMS), a photovoltaic grid-connected inverter, a wind-power converter, a gas-driven combined cooling-heating-power supply system, a ground-source heat pump system, branch circuit switchgears, an ammeter, a gas meter, a heat meter and an environmental monitor. According to the energy management system applied to industrial park, energy production and consumption processes are monitored in real time by collecting energy production and consumption information of the industrial park in order to count and analyze the energy production and consumption, and based on energy-saving diagnosis, energy-saving suggests are formed; and the energy source is uniformly dispatched by planning a coordination control strategy, thereby exerting functions of optimizing energy medium balance, improving environmental-protection quality, reducing comprehensive energy consumption of enterprises and reducing energy utilization costs of the enterprises on the industrial park.

A classification method for integrating spectrum information with multipoint simulation space information is disclosed: comprising the steps of: (1) performing MLC classification to pixels of the spectrum information of a remote sense image to obtain possibility vector of each pixel corresponding to each category; (2) selecting sample data for the multipoint simulation MPS; (3) using the multipoint simulation method to establish the possibility model for each pixel in the image according to the number of condition data thereof, and storing the possibility vector; (4) adopting a data integration method to integrate two possibility vectors; (5) obtaining the result which is a possibility vector composed by corresponding each category to the home possibility, in the possibility vector of each pixel, the pixel whose home possibility corresponding to certain category is the largest, is classified to the relative category for the final classification result. The invention improves the classification precision and has extraordinarily extensive application in decoding the remote sense image so that the invention can be applied to the fields of geologic mine, weather, geography, mapping, ocean research, military spy and environmental monitor.

The invention belongs to the field of natural situation data acquisition and analog, specifically a 4D (Four Dimensional) thunder collecting method using a sensor network. The method comprises the following steps of: 1, designing multiple physical attributes sampling nodes of the thunder, and collecting physical parameter information such as radio frequency spectrums, thunder clap and the like of space 3D (Three Dimensional) lightning shapes and thunder by using the sensor network in a large range, wherein each network node comprises the following devices: a low-speed camera, a high-speed camera, a sound detector, a GPS (Global Positioning System), a 3G (Third Generation) wireless communication device, and a radio wide frequency spectrum analyzer; 2, carrying out multilevel sampling in thunder areas by combining fixed-point collection and mobile collection; 3, carrying out the synchronization of data acquisition by the calibration of multi-node multi-device; 4, transmitting multi-node large-scale sampling data by the 3G wireless communication device; and 5, generating a 4D thunder sampling database. The invention has the characteristics that the 3D shapes of lightning, thunder clap and radio frequency spectrum can be synchronously acquired and the collection on large-scale thunder data is realized by the combination of the fixed-point collection and the mobile collection. In the invention, the collected thunder data can be applied to the meteorological environmental monitor and the thunder simulation based on physic.

The invention discloses a real-time diagnosis and self-repairing method for watercourse health in a variable environment. The real-time diagnosis and self-repairing method includes the following steps: acquiring indicator data reflecting the watercourse health from a constructed monitoring system, and feeding the indicator data back to a database, wherein the indicator data include hydrological indicators, water quality indicators and water ecological indicators; by a master control device, reading and identifying the indicator data from the database, determining whether to send out an alarm or not according to an identification result, and starting up a corresponding self-repairing system. Compared with the prior art, the real-time diagnosis and self-repairing method integrating multipletechniques, such as environmental monitor, simulation and repair, has the advantages of systematicness, immediacy, effectiveness and the like. The real-time diagnosis and self-repairing method can immediately respond to an ever-changing hydrological, water quality and water ecological environment, perform real-time diagnosis and early warning on the watercourse health, identify sudden pollution and automatically repair water environment changes, thereby having high advancement, practicality and wide applicability.

The ultra-short-term power forecast method of clear-sky photovoltaics based on real-time radiation collection technology uses the relationship between the radiation intensity of the circumscribed plane of the atmosphere and the ground radiation intensity under clear sky, and combines the real-time data of the ground radiation automatic environmental monitoring station to predict the future ground 0-4 The hourly solar radiation intensity is predicted, and the predicted results are input as parameters into the photoelectric conversion model to output the power generation of photovoltaic power plants in the next 0-4 hours. According to the prediction results, power grid dispatching can make overall arrangements for the coordination and cooperation of conventional power sources and photovoltaic power generation, rationally arrange the operation mode of the power grid, optimize real-time dispatching and adjustment, and accept more photovoltaic power generation. On the other hand, reduce the spinning reserve capacity and operating costs of the power system to Make full use of solar energy resources and reduce greenhouse gas emissions, so as to obtain greater economic and social benefits.

The invention relates to a power generation capacity prediction method based on photovoltaic power generation efficiency. A photovoltaic power generation system comprises a photovoltaic module used for photovoltaic power generation and a photovoltaic power generation monitoring system, wherein the photovoltaic power generation monitoring system comprises an environment monitoring instrument, a collector, a grid-connected point voltage and current collection device and a data processing unit connected with the collector; the collector is connected with the environment monitoring instrument and the grid-connected point voltage and current collection device; the environment monitoring instrument is used for collecting the irradiance information of a horizontal plane; and the grid-connected point voltage and current collection device collects the voltage value and the current value of a grid-connected point. The power generation capacity prediction method comprises the following steps: 1) according to the radiancy of the current horizional plane, the voltage value and the current value of the grid-connected point and the parameter of the photovoltaic module, calculating the current power generation efficiency of a photovoltaic power generation system, wherein the radiancy of the current horizional plane, the voltage value and the current value of the grid-connected point and the parameter of the photovoltaic module are obtained by a data processing unit; and 2) according to the current power generation efficiency of the photovoltaic power generation system, predicting the power generation capacity.

The invention discloses a verification method and device of test data. The verification method comprises steps as follows: a test result of detection of water quality data is acquired; when a current test result exceeds a default standard value, an emergency quality control test or an anomaly quality control test is performed on the current test result to obtain a first verification result; when the current test result does not exceed the default standard value, a data anomaly test is performed on the current test result, if the current test result is abnormal data, an anomaly quality control test is performed on the current test result to obtain a second verification result, and if the current test result is not abnormal data, a general quality control test is performed on the current test result to obtain a third verification result; and if the first verification result, the verification result or the third verification result is in a set range, the test result of the water quality data is a valid result. According to the verification method and device, validity of data monitored by an environment monitoring instrument can be verified.

The invention discloses an intelligent air purifying method and device and a cloud system. The method comprises the following steps: obtaining detection results of human-body activity hot spot monitors, when the detection results represent that human-body activity hot spots reach set threshold values, obtaining air index parameters detected by environmental monitors in the areas that the human-body activity hot spots reach the set threshold values, determining that the air index parameters exceed set standard values, selecting air purifiers for the areas, and sending transfer instructions to the chosen air purifiers, making the selected air purifiers move to the areas according to planning paths in the transfer instructions, and purifying air for the areas.

The invention relates to a direct-current carrier authentication system and authentication method for monitoring a photovoltaic module. The authentication system comprises a voltage acquiring circuit, a current acquiring circuit, an environment monitor, an MCU micro-processor, a carrier communication module and a power supply management module. The authentication method is used for the interactive control and identification authentication between a main combiner box monitoring node and a sub-photovoltaic module monitoring node. By means of the technical scheme, the direct-current carrier authentication system and authentication method for monitoring the photovoltaic module can solve the difficulties in photovoltaic module fault monitoring and communication guarantee of an existing solar power system. The direct-current carrier authentication system and authentication method for monitoring the photovoltaic module can monitor the voltage, current, temperature and other similar information of the photovoltaic module in real time and upload data or issue a command by means of the direct-current carrier technology so as to quickly discover a photovoltaic module fault, improve the system working efficiency and guarantee the monitoring system data security.

The invention discloses an underwater environmental monitoring wireless data acquisition and transmission device, which comprises an outer casing, a hydrologic information detection unit arranged on the outer casing and a circuit board installed inside the outer casing. A control unit connected with the hydrologic information detection unit, as well as a power supply unit and a radio frequency unit connected with the control unit, is arranged on the circuit board; the control unit is connected with the radio frequency unit through a data exchange and storage unit; and the radio frequency unit is in two-way communication with a ground base station. The hydrologic information detection unit comprises a plurality of sensors which are all connected with the control unit. The device has the advantages of low cost, timely and accurate data detection, safe use, reliable working performance, long service life and high intelligence level, is convenient for laying and maintenance, and can effectively solves the practical problems that the traditional manual underwater operation has high potential safety hazard, slow and inaccurate data acquisition, high time and labor consumptions, and so on.

The invention discloses an intelligent ventilation monitoring system based on a tunnel environment. The ventilation monitoring system comprises a monitoring system body, an environmental detection system and a ventilation system, wherein the monitoring system body comprises communication equipment, a PLC, a fan control cabinet, an air valve control box and an environment monitoring instrument; the communication equipment is connected with the PLC; the PLC is separately connected with the fan control cabinet, the air valve control box and the environment monitoring instrument; the fan control cabinet and the air valve control box are connected with the ventilation system; and the environment monitoring instrument is connected with the environmental detection system. According to the intelligent ventilation monitoring system disclosed by the invention, the ventilation system in the tunnel and the environmental detection system are intelligently monitored by the monitoring system, whether the working of the ventilation system in the tunnel is normal or not can be monitored in real time, and different ventilation equipment is adopted according to data monitored by the environmental detection system. The intelligent ventilation monitoring system disclosed by the invention is simple in structure and convenient to use.