36results about How to "Real-time monitoring of environmental parameters" patented technology

The invention provides an intelligent box-type substation characterized by effective heat dissipation. The intelligent box-type substation comprises a base, an exhaust device, a frame body, cooling devices, a cover plate device and a monitoring device. First support pillars and a second support pillar are arranged on the base. The frame body is provided with a first through hole, second through holes, third through holes and fourth through holes. The exhaust device comprises an exhaust pipe, a fan, a sponge block, a fixing block and fasteners. Each cooling device comprises a first support plate, a first water tank, a first water output pipe, a first valve, a circulating pipe, a fixing rod, a second water outlet pipe, a second water tank and a second support plate. The cover plate device comprises a cover plate, a bending part, support rods, a cross rod, a control box, an antenna and horizontal rods. The monitoring device comprises a third support plate, a baffle plate, a humidity sensor, a temperature sensor, a noise sensor and a rectangular block. The internal environment parameters of the substation can be monitored in real time and judgment can be made according to the specific parameter information, so that the internal environment parameters of the substation can be made to be more suitable for work of electric devices in the substation.

The invention discloses a transportation monitoring system of sensing radio frequency identification and general packet radio service and a method thereof. The system is composed of a sensing radio frequency identification tag, an automotive radio frequency identification reader and a data center; wherein the sensing radio frequency identification tag collects sensing information of transportation cargo via an internal sensor; the automotive radio frequency identification reader reads identification information and the sensing information of the sensing radio frequency identification tag through the radio frequency identification method and sends the information to the data center through wireless communication of the general packet radio service; the data center displays, records and alarms the data; the sensing radio frequency identification tag and the automotive radio frequency identification reader carry out dual-caching of the data through an internal memory, so as to obtain complete whole-process monitoring data of the transportation. The invention has the advantages that the invention can not only track and manage the transportation cago, but also carry out the whole-process monitoring of the transportation process of foods, medicines and other cargo which are sensitive to environmental parameters, thereby protecting the quality and the safety thereof.

The invention discloses a flame identification method of a double-infrared-channel flame detector, which comprises the steps that an MCU (main control unit) collects flame data through a flame detector, collects comparison reference data through a reference infrared sensor, and collects illuminance data through an illuminance sensor; a discrete coefficient of the flame data is calculated, if the discrete coefficient is less than a first threshold, a fire alarm is not generated, if not, Fourier transform is carried out on the flame data, the comparison reference data and the illuminance data so solve an infrared correlation coefficient of the flame data and the comparison reference data after Fourier transform and a visible light correlation coefficient of the flame data and the illuminance data after Fourier transform; and if both the infrared correlation coefficient and the visible light correlation coefficient are less than a second threshold, a fire alarm is generated, and fire alarm information is sent through a wireless communication unit. According to the invention, algorithm flame identification is carried out on the flame data collected by two infrared channels and the illuminance data collected by a visible light channel, and the anti-interference capability is improved.

The invention discloses an environment monitoring system and method for the machine room cluster based on the wireless sensor network. The system comprises a perception layer composed of Zigbee nodes of the wireless sensor network, a gateway composed of an embedded Tiny6410 development board and a WEB and android programming based remote monitoring system, wherein the perception layer is connected with the remote monitoring system via the gateway, the perception layer comprises terminal and coordination nodes in machine rooms and experiment and practical training rooms, the terminal nodes are in data transmission connection with the coordination node via the Zigbee nodes, the gateway comprises a central data processing system, a QT graphical interface and a database, and the remote monitoring system comprises a WEB control terminal and a tablet computer or mobile phone terminal. Thus, alarm information and state and parameters of abnormal environment can be transmitted to management staff of the machine rooms and experiment and practical training rooms, so that effective and optimal measures can be conveniently rapidly adopted.

The invention provides a fire-control patrol device. The device includes a patrol device main body and a movement device and further includes a data acquisition unit, a navigation unit and a main control unit; the data acquisition unit is used for detecting the parameter of the environment around the patrol device, converting the environment parameter into an A/D signal and sending the A/D signalto the main control unit; the navigation unit is connected with a laser radar which is used for environment scanning, and measuring the distance of a target object, constructs a raster map according to the scanning information of the laser radar, obtains the location and posture information of the patrol device, performs path planning, sets the movement information of the patrol device, and sendsthe movement information to the main control unit; the main control unit is used for acquiring the environment parameter collected from the data acquisition unit, and controlling the movement device to move according to the movement information of the patrol device. The device can achieve intelligent patrol, and the safety is effectively improved.

The invention provides an intelligent control method for a greenhouse. The method specifically comprises the following steps of step 1, setting an environmental parameter threshold according to environmental conditions required for growth of crops in the greenhouse, and transmitting environmental parameter threshold data to a PLC; step 2, acquiring environmental parameter data in the greenhouse through an environmental parameter acquisition unit; step 3, transmitting the environmental parameter data to the PLC through a communication unit; and step 4, enabling the PLC to carry out comparativeanalysis according to the received environmental parameter data and the environmental parameter threshold, and when the environmental parameter data exceeds the environmental parameter threshold, enabling the PLC to control an early warning unit to send early warning information and control an environment adjusting unit to operate and adjust the environment in the greenhouse. The technical schemeof the invention solves a problem that the intelligence level of the greenhouse cannot realize real-time monitoring and adjustment in the prior art.

The invention discloses a mining safety monitoring system, which belongs to the technical filed of safety monitoring system, and comprises a gas concentration detection module, a carbon dioxide concentration detection module, an air humidity detection module, a mining cage guide deformation detection module, a central process module and an alarm module, wherein the mining cage guide deformation detection module comprises a laser transmitter, a monitoring cable and a laser receiver. The mining safety monitoring system can monitor environmental parameters and elastic deformation defects of mining cage guides in mines in real time, reduces safety accidents to happen in high limit, and supplies powerful guarantee for life safety of miners.

The invention relates to a probability density-based unmanned aerial vehicle three-dimensional path obstacle avoidance system. The system is characterized in that the unmanned aerial vehicle three-dimensional path obstacle avoidance system comprises an information processing module, an attitude recognition module, an attitude adjustment module, an information acquisition module and an obstacle avoidance execution module, wherein the attitude recognition module, the attitude adjustment module, the information acquisition module and the obstacle avoidance execution module are all connected withthe information processing module; and the three-dimensional path obstacle avoidance system further comprises a wind speed detection module. With the system adopted, surrounding environmental parameters can be monitored in real time during the obstacle avoidance process of an unmanned aerial vehicle, the influence of wind speed in the flight state of the unmanned aerial vehicle on obstacle avoidance is considered; a drift quantity caused by wind is corrected, and the obstacle avoidance efficiency of the unmanned aerial vehicle is improved. The system has the advantages of reliable function, good real-time performance, easiness in implementation, and capacity of coping with a plurality of types of dynamic unknown environments.

The invention relates to the field of noise control, and particularly discloses a ventilating sound isolator and a mounting structure thereof. The ventilating sound isolator comprises a box body, anda sound absorption material is arranged on the inner wall of the box body; an air inlet and an air outlet are formed in the box body, and a fan is arranged inside the box body; the fan is connected with one end of an air flue, and the other end of the air flue is connected with the air outlet; and the ventilating sound isolator further comprises a detection device installed on the surface of the box body, the detection device is used for monitoring the wind speed, the noise, the content of dust, the content of nitric oxide and the content of nitrogen dioxide. The mounting structure of the ventilating sound isolator comprises the ventilating sound isolator, a connecting piece and a mounting piece; and the connecting piece and the box body of the ventilating sound isolator are fixedly connected in a sealing mode, and the connecting piece is fixedly connected with the mounting piece in a sealing mode. The ventilating sound insulator has the advantages of continuous sound insulation and real-time monitoring of various environmental parameters in the ventilating process. The mounting structure of the ventilating sound isolator is high in mounting strength and good in the sealing performance, and air leakage and sound leakage are effectively avoided.

The invention belongs to the technical field of monitoring systems, and discloses a safety production monitoring and early warning method and system and a device with a storage function. The system comprises a monitoring module which is used for monitoring a plurality of environment parameters of a production workshop in real time to obtain monitoring data, a database server which is connected with the monitoring module and is used for acquiring the monitoring data from the monitoring module, analyzing and processing the monitoring data to obtain a monitoring result and outputting an early warning signal according to the monitoring result, and an early warning and alarm module which is connected with the database server and is used for acquiring the early warning signal from the database server and sending out a corresponding alarm according to the early warning signal. By means of the above mode, the defect that traditional manual monitoring and PCB intelligent factory safety early warning are not timely in alarming can be overcome.

The invention relates to an office intelligent voice monitoring method based on internet of things. The method recognizes login account number by voiceprint and downloads personal preset parameters from server to controller. The controller automatically adjusts the indoor environment parameters in the office according to the preset parameters, and the indoor environment parameters are synchronizedto the server in real time, so that the mobile phone APP can update the indoor environment parameters at any time. Monitor whether the posture lasts longer than the preset time to avoid sedentary, lumbar spinal damage; Provide voice, LED lamp and short message alarm mode for real-time monitoring of indoor environmental parameters, and self-adaptive adjustment mode in the system, and remote control through mobile phone APP terminal; provides voice recognition call wake-up mode to facilitate in-office messaging. The invention combines the voice recognition technology and the Internet of thingssensing technology, monitors the environmental parameters in the office in real time, adjusts the preset parameters of the user through real-time data analysis, and gives the user a comfortable officeenvironment.

The invention discloses an environment monitoring alarm for a warehouse, and the alarm comprises an environment parameter collection module, a signal analysis preprocessing module, a data display and alarm module, and a power module. The environment parameter collection module consists of a temperature sensor, a humidity sensor, and a CO2 concentration sensor. The signal analysis preprocessing module is a single-chip microcomputer, and the data display and alarm module comprises an LCD and an indication lamp. The signal output port of the temperature sensor, the signal output port of the humidity sensor and the signal output port of the CO2 concentration sensor are connected with the signal input port of the single-chip microcomputer, and the signal output port of the single-chip microcomputer is connected with the LCD and the indication lamp. The single-chip microcomputer is also connected with an infrared remote control module and a fan, and the infrared remote control module comprises a signal transmitter and an infrared signal receiving probe. The signal transmitter transmits a signal, and the infrared signal receiving probe receives the signal and transmits the signal to the signal input end of the single-chip microcomputer. The alarm can monitor the environment parameters in real time, is good in reliability, reduces the manpower cost, and is good in market prospect.

The invention discloses a wireless monitoring system for a seedling germination room. The method comprises the following steps: the step I of on-site data acquisition that temperature, humidity and the oxygen concentration in the seedling germination room are detected in real time, the step II of advance signal processing that an advance signal processing module performs advance processing on the temperature, humidity and oxygen concentration, the step III of the data analysis and decision making that a microprocessor stores received data and performs analysis processing on the received data through calling a program stored in an EEPROM, the step IV of data wireless transmission that the microprocessor transmits the data to a monitoring host through a ZigBee wireless network, and the step V of a control instruction respondence by an execution mechanism, parameter display and the failure alarm. Environmental parameters of the seedling germination room can be monitored in real time through the ZigBee wireless network, and running states of temperature, humidity and oxygen content control equipment can be timely regulated according to the monitoring data, so the fact that environment of the seedling germination room meets requirements is ensured.

The invention discloses a self-protection offshore wind power system with telescopic blades and a working method thereof, and belongs to the technical field of offshore wind power. According to the self-protection offshore wind power system with telescopic blades, a cabin is connected with a supporting foundation, and the supporting foundation is fixed to seabed; a transmission system, a generator, a control system and an energy storage system are arranged in the cabin, blades are connected with a hub, and the hub is connected with the generator through the transmission system; a motor is arranged in the hub and is connected with the blades through a telescopic operating mechanism; each blade comprises a plurality of blade sections which are sequentially nested, and the blade sections can stretch out and draw back through the telescopic operating mechanism; environment sensors are arranged in an external environment and are connected with the control system; and the generator is connected with an electric energy transmission system, the energy storage system is connected with the motor and the electric energy transmission system, and the electric energy transmission system is connected to a power grid. According to the invention, current environment conditions can be intelligently judged and analyzed, and when an extreme environment occurs, the blades are quickly withdrawn, so that the blades are prevented from being injured or damaged due to impact.

The invention discloses an intelligent construction site construction method and device and electronic equipment. The method comprises the steps: acquiring the construction state of a constructor in real time; judging whether the construction state meets a preset standard construction state or not; if yes, acquiring a construction environment corresponding to the constructor; if not, acquiring the real-time position of the constructor and sending the real-time position to a monitoring background; judging whether the construction environment meets a preset standard construction environment or not; if yes, activating preset construction equipment in the construction environment; and if not, acquiring real-time environment parameters of the construction environment and sending the real-time environment parameters to a monitoring background. According to the intelligent construction site construction method and device and the electronic equipment provided by the invention, the construction state of the constructor and the environmental parameters of the construction environment can be monitored in real time, and the construction equipment can be started only when the construction state and the environmental parameters meet the requirements; the hidden danger of construction quality caused by non-standard operation and substandard construction environment is reduced, and the construction standard is improved.

The invention discloses a wireless monitoring system for a seedling germination room. The wireless monitoring system comprises multiple monitoring terminals, a monitoring host arranged in a monitoring room, a ZigBee wireless network for realizing wireless communication between the monitoring terminals and the monitoring host, a temperature sensor for detecting the temperature of the seedling germination room, a humidity sensor for detecting the humidity of the seedling germination room, an oxygen sensor for detecting the oxygen concentration of the seedling germination room, an automatic water spraying device, an automatic temperature regulation device, an automatic ventilation device, an LCD display screen, input and output equipment and alarming equipment, wherein the automatic water spraying device, the automatic temperature regulation device and the automatic ventilation device are connected with the monitoring terminals respectively; the LCD display screen, the input and output equipment and the alarming equipment are connected with the monitoring host respectively. According to the wireless monitoring system, environmental parameters of the seedling germination room can be monitored in real time through the ZigBee wireless network, and running states of temperature, humidity and oxygen content control equipment can be timely regulated according to monitoring data, so that the fact that environment of the seedling germination room is met requirements is ensured.

An air-side air and water mixed fine atomization enhanced heat exchange system for an air cooler comprises a water path assembly (1), an air path assembly (2) and a monitoring control system (3). Themonitoring control system (3) comprises an environment temperature sensor (32), a humidity sensor (31), a wind speed sensor (33), a wind direction sensor (34), a fin temperature sensor (35), a hard disk used for storing control data and a CPU used for processing data input by the sensors and sending control signals. Gas-liquid two-phase jet flow is adopted as a technical means, and the atomizationperformance is effectively improved on the premise of low energy consumption; and therefore, the system has the advantages of low energy consumption, low cost, high efficiency and the like.