5results about How to "Real-time maintenance" patented technology

The invention provides a multi-source heterogeneous power distribution network fault prediction method and system, relates to the technical field of power distribution network fault identification, and aims to solve the problems that an existing model is single in consideration factor, cannot comprehensively simulate a complex fault type of a multi-source heterogeneous power distribution network, is large in calculation amount, is low in efficiency, and is poor in fault prediction accuracy. The method comprises the steps of obtaining historical data related to a power distribution fault; preprocessing the historical data related to the power distribution network fault to obtain preprocessed historical data; analyzing the preprocessed data by adopting a clustering technology to obtain a clustering result; based on a clustering result, constructing a fault prediction model for training to obtain a trained fault prediction model; and inputting real-time data related to the fault of the power distribution network into the trained fault prediction model for prediction. According to the method, the problems of delay, large calculation amount and low efficiency are avoided, the real operation condition of the power distribution network can be reflected, and the fault type of the multi-source heterogeneous power distribution network is comprehensively simulated.

The application discloses a kind of construction methods of unmanned aerial vehicle swarm dynamic topology network, comprising: according to unmanned aerial vehicle communication load capacity, air node is divided into middle large unmanned aerial vehicle and small unmanned aerial vehicle;With middle large unmanned aerial vehicle as fixed cluster head, build first level relay network, with small unmanned aerial vehicle as cluster subnode, build lower layer swarm network;In lower layer swarm network, temporary cluster head is elected, and temporary cluster head is formed as the relay machine subcluster network;Through orthogonal frequency hopping pattern, bidirectional information interaction is carried out between first level relay network and subcluster network.This scheme can make unmanned aerial vehicle swarm establish dynamic topology structure, and efficiently utilize wireless spectrum resource, improve the network communication performance of unmanned aerial vehicle swarm.

The utility model provides a thermal power generation tail gas purification device and belongs to the technical field of thermal power generation. Comprising a fixing frame, a first filtering assembly fixedly installed on the inner surface of the fixing frame, an air inlet communicating with the side surface of the first filtering assembly, a second filtering assembly fixedly installed at the end of the first filtering assembly, a photovoltaic assembly fixedly connected to the side surface of the second filtering assembly and a cover plate clamped to the surface of the second filtering assembly. The air outlet is communicated with the side surface of the second filtering assembly. Through the multi-stage filtering structure and the photovoltaic design, efficient purification and energy recycling of thermal power generation tail gas are achieved, pollutants with different particle sizes can be treated in a staged mode through the synergistic effect of the first filtering assembly and the second filtering assembly, and the filtering efficiency and the structural strength are remarkably improved through the design of the filtering pipes with the reinforcing layers and the special coatings; the photovoltaic assembly converts light energy into electric energy to be supplied to the system for operation, and the observation opening and the detachable cover plate facilitate real-time monitoring and maintenance.

The application is a kind of water conservancy lifting steel wire rope automatic maintenance patrol rope trolley, belonging to the field of steel wire rope maintenance equipment, including a box body, a walking mechanism and an oil brushing assembly, the walking mechanism and the oil brushing assembly are arranged along the length direction of the through hole; the walking mechanism includes at least two clamping walking assemblies, the two clamping walking assemblies are arranged uniformly along the circumference of the through hole in the box body, and the two clamping walking assemblies have a clamping space; each clamping walking assembly includes a fixed rod and a walking wheel, the fixed rod is arranged in the box body along the length direction of the through hole, and the walking wheel is arranged on the fixed rod; the walking wheels of the two clamping walking assemblies clamp and walk on the steel wire rope; by setting the above-mentioned patrol rope trolley, the trolley can automatically walk on the steel wire rope and brush oil, avoiding the problem of traditional manual oil brushing, realizing real-time maintenance of the steel wire rope, and without the need to unload the steel wire rope, which not only has high work efficiency, but also can guarantee the maintenance effect.

The invention relates to the technical field of flow control, and discloses a cooling liquid flow accurate control method and device.The method comprises the steps that temperature, pressure and flow signals are obtained and corrected, and an initial data set is obtained; classifying the flow forms of the cooling liquid through a support vector machine, and determining the types of the flow forms; if the flowing form type is a boiling state, extracting a temperature difference value, and obtaining a supercooling degree value in combination with a supercooling degree judgment rule; combining the supercooling degree value and the flow form type to predict the heat transfer efficiency, and calculating a deviation value between a predicted value and an actual value; generating a deviation identifier according to the deviation value, and integrating the deviation identifier with the environmental parameter to obtain an initial control parameter; pressure fluctuation data are introduced to adjust the initial control parameters, and final control parameters are obtained; and the cooling liquid flow is adjusted according to the final control parameters, and a final adjustment result is obtained. According to the method, the flow form of the cooling liquid can be mastered in real time and the flow can be dynamically adjusted under complex working conditions.