12results 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 invention relates to a great wall damaged area detection method based on aerial photography, and belongs to the technical field of image detection, and the method comprises the steps: collecting great wall data through employing an unmanned aerial vehicle technology, constructing a marking data set of a great wall damaged area, and carrying out the data enhancement of the marking data set; a YOLOv5s detection and recognition network is improved, a CIoULoss loss function is introduced, a P2 small target detection layer is added, the target recognition accuracy of a small target is improved, in addition, a clustered anchor frame is calculated, and a prior frame more suitable for a Great Wall scene is obtained; the data set is sent to an improved algorithm network for model training, and the overall performance and generalization ability of the model in a test set are evaluated; and sending a to-be-detected picture into the model, and checking a picture presentation effect. According to the method, the unmanned aerial vehicle shooting technology and deep learning are combined, the sizes and positions of collapse, falling and crack targets of the Great Wall can be accurately detected, and the maintenance cost of the Great Wall is reduced while the working efficiency of Great Wall damage detection is improved.

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 invention provides a data annotation method and system based on an industry word library and a tag library in the technical field of data annotation, and the method comprises the steps: S1, obtaining a large amount of historical annotation data, and grouping the historical annotation data based on the industry; step S2, creating an industry word library and a tag library based on each piece of historical annotation data; s3, identifying the to-be-labeled file to obtain to-be-labeled data, and identifying the industry and project numbers of the to-be-labeled data; s4, through an industry word bank corresponding to industry matching, the natural language word segmentation tool performs word segmentation operation on the text data based on industry word segmentation of the industry word bank to obtain a word segmentation result; matching a corresponding label library through the item number, and pre-labeling the word segmentation result based on an item label of the label library to obtain a pre-labeling result; and S5, after the pre-labeling result is audited and corrected, a labeling result is generated. The method has the advantages that the data annotation quality and efficiency are greatly improved, and the annotation cost is reduced.

The utility model provides an integrated tail gas treatment system with a gas leakage detection function. The system comprises a dry pump treatment module, a tail gas treatment module, a gas leakage detection device and a connecting pipeline system for connecting the dry pump treatment module and the tail gas treatment module, the tail gas is conveyed to the tail gas treatment module from the dry pump treatment module through the connecting pipeline system; the dry pump treatment module comprises a first dry pump treatment system and a second dry pump treatment system which are horizontally arranged; the gas leakage detection device is arranged in the first dry pump processing system and the second dry pump processing system and comprises an acoustic imaging detection device and a telescopic rotating support assembly. Thus, the gas leakage detection device can detect whether gas leakage occurs in the pipeline or not in real time and position the gas leakage position, once the gas leakage condition is found, an alarm prompt can be given out in time, the leakage position can be overhauled in time, and heavy losses caused by leakage of a large amount of gas are prevented.

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 invention discloses a code resource dependency management method and device, a storage medium and a computer program product, and relates to the technical field of low-code development, and the method comprises the steps: obtaining a code resource packaging configuration rule input by a user, and determining an internal dependency relationship between code resources according to the code resource packaging configuration rule; a development state tree Json data structure is designed according to the internal dependency relationship to maintain code resources in a development state, and a development state maintenance result is obtained; according to the internal dependency relationship, designing a flat Json data structure to lock code resources in a running state to obtain a resource loading result; and performing dependency management on the code resources by integrating the development state maintenance result and the resource loading result. And internal dependency management of code resources from a development state to an operation state in a complex business scene is realized.

The invention discloses a digital junction box intelligent application device based on a circuit board, and the device comprises a pull-out housing and an intelligent control board disposed in the pull-out housing, and the intelligent control board is provided with a single-chip microcomputer, a control power supply, a single-phase electric control circuit, a zero line control circuit, a working state circuit, and a function selection circuit. The three groups of single-phase electric control circuits respectively correspond to A, B and C three-phase live wires of the three-phase four-wire electric energy meter, the null line control circuit corresponds to a null line of the three-phase four-wire electric energy meter, the control power supply supplies power to the intelligent control panel, and the single-phase electric control circuits, the null line control circuit, the working state circuit and the function selection circuit are all connected with the single-chip microcomputer. According to the design, intelligent control and automation functions are integrated, the operation process is simplified, human intervention and errors are reduced, the intelligent level of an electric power system is improved, a safer and more convenient working environment is provided for operators, and finally efficient and reliable electric energy management is achieved.

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 a call center system, which comprises an access module, a routing module, a service processing module, a data management module and a monitoring maintenance module, the modules are communicated through standardized interfaces, and intelligent routing and distribution are carried out by using a distribution algorithm in combination with customer historical data, current requirements and seat states. The system supports client requests of various channels such as telephone, short message, e-mail, social media, webpage chat and the like, and utilizes an intelligent routing algorithm, such as a shortest path algorithm, to optimize request distribution and improve response speed and client satisfaction.

The invention discloses an intelligent safety management system and method for a power plant, and relates to the technical field of intelligent safety management, and the system comprises a safety monitoring system, a market monitoring system, a data analysis simulation system, and an internal personnel management system. The safety monitoring system, the market monitoring system and the data analysis simulation system are all wirelessly connected with the internal personnel management system; the safety monitoring system comprises monitoring sensing modules fixedly connected to all important parts in the power plant, and a detection module fixedly connected to an electrical cabinet in the power plant. The problems that in the prior art, power plant safety protection needs to be patrolled by multiple persons, manpower cost is increased, time and labor are wasted, uncontrollability is achieved, market data cannot be obtained in real time, and maximum benefits cannot be obtained according to the market are effectively solved, and the purposes that manual real-time monitoring and patrolling are not needed, time and labor are saved, and efficiency is improved are achieved. And meanwhile, market information can be quickly obtained, and the purpose of benefit maximization is achieved.

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.