4results about How to "Good practicality" patented technology

The utility model relates to an automatic water supply control device, it includes: water pool, the depth of water pool is H, first liquid level switch sets up in water pool, and the height of distance water pool's bottom is L, second liquid level switch sets up in water pool, and the height of distance water pool's bottom is S, first relay, first liquid level switch's output end is connected with first relay's trigger input end, alarm device, second liquid level switch's output end is connected with alarm device, inlet pipe, one end is connected with water source, and the other end is led into water pool, electromagnetic control valve sets up on inlet pipe for controlling the on-off of water route in inlet pipe, the control end of electromagnetic control valve is connected with first relay's output end, wherein, 0.2H <= L <= 0.3H, 0.7H <= S <= 0.8H. The application can realize the water level monitoring for factory production water pool, and can realize automatic water supply, and work is safer and more reliable.

The invention discloses a silencing vibration stopper and an adjusting method thereof, and belongs to the technical field of vibration control. The silencing vibration stopper comprises a belleville spring set, a spring oscillator unit, a lead screw adjusting mechanism and a frequency modulation control system; the spring oscillator unit comprises a top plate, a spring oscillator and a bottom plate. The belleville spring set is arranged between the spring oscillator and a first supporting column set and a second supporting column set between the spring oscillator and the top plate and the bottom plate in a sleeving mode. The lead screw adjusting mechanism comprises an adjusting lead screw, and the adjusting lead screw can penetrate through the top plate and the spring vibrator and then is connected with the middle connecting column. The spring oscillator unit is provided with an acceleration sensor group; the frequency modulation control system collects vibration signals in real time through the acceleration sensor set, the lead screw adjusting mechanism is driven through a PID control algorithm, the pre-tightening force of the belleville spring set is dynamically adjusted, and the vibration absorption frequency is adjusted. Dynamic adjustment of the inherent frequency can be achieved, the structure is convenient and fast, the adjustment precision is high, the response speed is high, and the requirement for narrow-frequency-domain vibration suppression is met.

The method and device for generating road network center line based on adaptive search of road topology belong to the field of remote sensing image processing, and acquire a segmented binary image of a road remote sensing image; perform morphological processing on the segmented binary image to extract a road skeleton line; represent the road network center line as a graph structure in graph theory, that is, a graph G(V, E), wherein V represents a road node set, and E represents an edge set of connected nodes required for constructing a road network; then simplify the road network center line without changing the original road network topology, and perform optimization processing on the simplified road network to generate a road network center line based on adaptive search of road topology; through image morphological processing and graph theory processing of the road remote sensing image, a method for constructing a high-quality road network center line from a road surface generated by a deep learning algorithm is realized, automatic connection of broken road sections and simplification of redundant road networks can be achieved, and the generated road network has good visual effects and practicability.

The invention discloses a snow melting and temperature rising process disaster chain hidden danger recognition method based on big data. The method comprises the following steps that remote sensing snow covers, radar wet snow lines, daily temperature, flow and ground surface deformation data of a research area are obtained and preprocessed; an improved Bayesian online change point detection algorithm is adopted to determine a real-time node triggered by snow melting temperature rise; calculating a snow cover area change rate and a wet snow line change rate to identify a snow melting sensitive area; analyzing the surface deformation data to determine a surface acceleration sensitive area; analyzing the flow data to determine a runoff mutation sensitive area; constructing a disaster chain hidden danger transmission space-time structure model of snow melting triggering, surface acceleration and runoff response; and identifying a disaster chain hidden danger level in real time based on a space-time structure model. According to the invention, real-time and quantitative recognition of regional scale disaster chain hidden dangers is realized, and the accuracy and timeliness of disaster early warning are improved.