30results about How to "Comprehensive monitoring parameters" patented technology

The invention discloses a system and method for monitoring and predicting the growth environment of slope vegetation. The monitoring and predicting system includes: a fixed support; a collection box with a data acquisition instrument and a wireless communication module inside; The data acquisition instrument is connected; the rainfall sensor is installed at the top of the slope without shelter and connected to the data acquisition instrument; the soil temperature, humidity and salt sensor is buried in the soil at the top of the slope and connected to the data acquisition instrument; the cloud platform server is connected to the data acquisition instrument through wireless communication The module and the data acquisition instrument perform data transmission; the solar power supply system supplies power for the data acquisition instrument, wireless communication module, environmental monitoring system, rainfall sensor and soil temperature, humidity and salt sensor. The monitoring and predicting system and method can realize long-term and remote monitoring of the growing environment of slope vegetation, and have comprehensive monitoring data, simple operation and low monitoring cost.

The invention relates to an SF6 high-voltage circuit breaker intelligent monitoring and health management system which comprises hardware and software, wherein the hardware is divided into a lower computer and an upper computer; the lower computer hardware comprises an intelligent control and processing unit based on an FPGA and an ARM, a data acquisition unit, a data storage unit, an intelligent control output unit and a CAN bus communication unit; the upper computer hardware consists of a monitoring center server unit and a PCI 1680U board card; and the communication between the upper computer and the lower computer is realized by a CAN bus network. The software is also divided into a lower computer and an upper computer, wherein the lower computer software is in charge of driving the lower computer hardware to complete mechanical, electrical and insulating state data acquisition and feature extraction, realizes intelligent reasoning and intelligent control by combining system information, and drives the CAN bus communication unit to send the result obtained by processing into the upper computer; and the upper computer software is in charge of driving the PCI 1680U board card of the upper computer to complete communication, and realizes the man-machine interaction interface and intelligent monitoring information management. The system realizes the comprehensive monitoring for the SF6 high-voltage circuit breaker state and performance.

Disclosed are a phase change heat storage air source heat pump hot water unit control system and a control method thereof. A microcontroller unit, a sensor unit, an analog quantity conditioning unit, a data acquisition unit, a display unit, a communication unit, a control unit and a driving unit are combined to form the control system by means of a modularized system structure. By means of the automatic and data fusion technology, the operation state of a hot water unit is monitored, and automatic adjustment is achieved according to actual temperature of a thermal insulation water tank, environment temperature and different working conditions of the hot water unit. By means of the phase change heat storage air source heat pump hot water unit control system and the control method thereof, the monitored parameters are comprehensive; the structure is simple; control is convenient; continuous, reliable and safe operation of the hot water unit is achieved.

The invention discloses a method for joint monitoring of key parameters in an elastic optical network (EON), comprising the following steps: S1. In the EON system, photoelectric conversion and analog-to-digital conversion are performed on a dual-polarization high-order modulation format signal through a coherent receiver. , perform digital signal preprocessing on the converted signal, and generate a signal constellation diagram according to the preprocessed signal; S2, perform digital image preprocessing on the generated signal constellation diagram; S3, perform Radon on the preprocessed signal constellation diagram Transform to obtain a corresponding three-primary color image; S4, according to the acquired three-primary color image, realize joint identification and monitoring of multiple key parameters through a multi-task neural network model. The method of the invention is based on Radon transform and multi-task neural network, and can intelligently, quickly and stably identify or monitor five key parameters or performance indicators of optical signals; High precision and good robustness.

The invention discloses a dual-parameter monitoring method for a four-degree-of-freedom bidirectional wireless power transmission system. Key parameters influencing a system power factor and transmission efficiency are monitored on line in real time to master dynamic change of the key parameters, thereby providing a certain guarantee for energy interaction of the system under the condition of relatively high power factor and transmission efficiency. Specifically, a monitoring coil arranged at a middle point of resonance coils on the sides 1 and 2 of the bidirectional wireless power transmission system and a monitoring resistor connected in series with the monitoring coil are used as a monitoring platform, and an amplitude ratio and a phase difference of converter output voltages on the sides 1 and 2 of a system converter are obtained by taking the mutual inductance of the monitoring coil and the two resonance coils as a medium, specially, the amplitude ratio and the phase difference of the converter output voltages are indirectly reflected through a voltage phasor of the monitoring resistor. The monitoring platform can monitor the parameters within a relatively wide parameter change range, and a parameter monitoring result has relatively high precision.

The invention provides an intelligent monitoring system of the agricultural product cold chain logistics and a use method of the intelligent monitoring system. The system comprises a central monitoring station, a delivery bin monitoring station, a service point monitoring station, a community storage point monitoring station and a moving carrier. All components of the monitoring system communicate with each other through the Internet or local area network, and the intelligent monitoring system is a comprehensive monitoring system. According to the invention, remote monitoring is conveniently performed on each bin environment of the cold chain logistics; when the environment temperature and humidity are monitored, other factors of the environment are also monitored; especially when the cold chain logistical environment is abnormal, the monitoring system is capable of automatically giving out remote alarms, so managers who are not in the place can timely know the abnormal conditions of the cold chain logistical environment, it is convenient for managers near to the service station site can timely take corresponding measures to change the cold chain logistical environment and an effect of preventing environmental abnormity in the cold chain logistics bin from causing agricultural products to go bad to cause economical loss can be achieved.

The invention discloses a device and method for evaluating the operation of a locomotive bogie gear box and bearing running-in test bench. The device comprises a signal acquisition module, a signal preprocessing module and a terminal module. The device and method perform evaluation by using the modules, acquire, save, and analyze various parameters in a running-in test bench operating process in real time, establish a database, perform comprehensive analysis in combination with historical and fault data, evaluate the operating state level of running-in test bench, gearbox repair quality and bearing reliability, and whether the gear box or a bearing has faults, and give a fault alarm if so.

The invention provides a novel footstep movement monitoring system. The system comprises a monitoring part and a mobile terminal, wherein the monitoring part is in communication with the mobile terminal by means of Bluetooth; the monitoring part is embedded into the space position reserved in the rear end of the shoe sole; the mobile terminal is provided with APP application software; the monitoring part comprises a footstep monitoring device; the footstep monitoring device is arranged at the bottom end of the space position; the footstep monitoring device monitors various movement states of the footstep, stores the monitoring data, and transmits the monitoring data to the APP application software of the mobile terminal through the Bluetooth for updating; the monitoring data comprises movement time, quiescent time, movement pace number, movement speed, movement distance, movement trail and altitude of locating position. The novel footstep movement monitoring system has the beneficial effects of being comprehensive in monitoring parameter, higher in accuracy degree, and convenient for reading data.