12results about How to "Efficient operation and maintenance" patented technology

The invention discloses a multivariate data fusion-based engine oil abnormal consumption diagnosis method, which adopts an innovative diagnosis scheme of multivariate data fusion, dynamic model and multistage judgment, and comprises the following steps of: generating a dynamic reference model of engine oil consumption through a neural network model through fusion analysis of working condition parameters and engine oil consumption data; according to the system and the method, engine oil abnormal consumption can be accurately detected in real time in advance, the abnormal judgment of the liquid level-oil consumption change ratio is calculated, a matched intelligent diagnosis system is synchronously developed, and the intelligent diagnosis system comprises a data acquisition module, a sensor, an edge gateway, a visual instrument terminal and a cloud platform. And efficient technical support is provided for engine operation and maintenance.

The application discloses a kind of substation battery pack operation and maintenance method and device, belong to battery technology field, method includes: according to pre-constructed battery pack health degree score matrix and single battery health degree score matrix, obtain battery pack health degree score and single battery health degree score;According to the battery pack health degree score and single battery health degree score, obtain operation and maintenance scheme;Wherein, the battery pack health degree score matrix is constructed according to pre-constructed consistency evaluation level and its corresponding consistency evaluation index acquisition, and the single battery health degree score matrix is constructed according to single battery evaluation index and its corresponding weight acquisition.The method can evaluate the health degree of battery pack, and give corresponding operation and maintenance scheme.

The application discloses a belt conveyor safety maintenance hanging card practical training system, effectively solves the problems of lacking integrated "three-party confirmation" process intelligent training system in belt conveyor equipment safety maintenance hanging card operation practical training and examination. The application sets up the operation table, power distribution cabinet and belt conveyor which are associated to constitute the belt conveyor safety maintenance hanging card practical training system, and matches the corresponding practical training method, adopts the "entity operation + virtual feedback + intelligent management and control" three-in-one mode, realizes the forced operation sequence, reduces the standardized process of human negligence, realizes the dynamic simulation of accident consequences, enhances the risk perception of safety awareness, and realizes the automatic timing of the control system and the error step judgment, saves the examination time and improves the training efficiency.

The invention discloses a method and equipment for querying an abnormal state of a battery cell in an energy storage cabinet and a storage medium, and relates to the technical field of battery cell management. The method comprises the following steps: generating a local abnormal event message containing an abnormal source identifier based on a preset local abnormal triggering condition when monitoring that any battery cell monomer in the energy storage cabinet is abnormal; broadcasting the abnormal event message to other battery cell monomer nodes in the energy storage cabinet; based on a preset aggregation triggering strategy, aggregating the state information of each cell monomer node in the abnormal and associated monitoring state at a local network level; according to the received abnormal event message, the battery cell monomers in the associated monitoring state are judged by other battery cell monomer nodes according to the association relation topology between the battery cell monomers and the abnormal source; and uploading the aggregated state abstract to a query terminal through single transaction communication. The method aims to provide technical support for safe and efficient operation and maintenance of a large-scale energy storage system.

This utility model discloses a molded case circuit breaker, including a housing and a control handle disposed on the housing panel. The housing houses a main control module, a local program upgrade module, and a remote program upgrade module. The local program upgrade module includes a Type-C interface, a voltage regulator circuit, and a first isolation circuit. The Type-C interface is located on the housing panel. The power supply terminal of the Type-C interface is connected to the power supply terminal of the main control module through the voltage regulator circuit, and the data terminal of the Type-C interface is connected to the communication terminal of the main control module through the first isolation circuit. This utility model achieves plug-and-play local offline program upgrades through the Type-C interface. Combined with the remote program upgrade module, the circuit breaker can achieve more convenient and diverse program upgrades, and the program upgrade structure has stronger anti-interference capabilities, with stable and efficient data transmission.

The invention discloses a control method and device for an intelligent integrated modular circuit breaker operating mechanism, and the method comprises the steps: collecting an external sensor signal and an internal circuit state of the operating mechanism through a signal processing module after a motor control module is electrified and initialized; the motor control module calls an internal preset safety logic algorithm and generates an operation permission instruction for indicating whether the current mechanism has an action condition or not according to a comparison result; when the verification is passed, generating a corresponding mechanism driving signal of the driving coil or the energy storage motor according to the type of the external control command; and starting a real-time sampling loop to monitor the current waveform and action duration of the driving circuit, and adjusting or interrupting the mechanism driving signal. According to the technical scheme, the problems that a traditional circuit breaker is complex in wiring and difficult to maintain can be solved, and comprehensive state monitoring, rapid fault diagnosis and safe and reliable operation are achieved.

This invention discloses an AI-driven big data fusion-based anti-misoperation interlocking system for wind farm booster stations, relating to the field of anti-misoperation interlocking technology for wind farm booster stations. It includes a data acquisition module that collects real-time electrical parameters, operating status, and environmental parameters of the equipment, and uploads them after preprocessing; a big data fusion storage module that categorizes and stores multiple types of data according to a hierarchical strategy, optimizing access and retrieval; an AI intelligent analysis and decision-making module that integrates multi-source data to generate precise interlocking strategies; an anti-misoperation interlocking execution module that executes interlocking in a three-level mode and provides status feedback; a communication interaction module that achieves internal and external data interaction through a dual-mode architecture; a status monitoring module that monitors the operating status of each module and identifies faults; and an emergency handling module that initiates a response mechanism and restores operation after self-checking following fault resolution. This invention relies on AI and big data fusion technology, dynamically adapting interlocking thresholds to equipment and environmental conditions; supporting unattended operation and intelligent maintenance, providing reliable assurance for the safe operation of wind farm booster stations.

This invention relates to the field of intelligent detection technology for building materials, specifically disclosing a multimodal real-time detection method and system for the crushing value of lightweight recycled aggregate. First, a multimodal dataset is constructed: images of recycled aggregate are acquired and their precise crushing values ​​are configured; physical attribute data corresponding to the images are collected; the images are transformed; and lightweight debris occlusion areas are randomly generated. Next, single-modal base learners for both image and physical modes are constructed and trained. A dual-path cross-validation mechanism is constructed to generate initial prediction values ​​for samples by the trained base learners, and a meta-feature set is constructed with the actual crushing values ​​of the samples. Finally, a meta-learner is introduced, trained using the meta-feature set, and its output is nonlinearly combined with the base learner outputs to finally output the fused prediction result of the sample crushing values. This invention can fuse multi-source heterogeneous information, flexibly handle modality-deficient scenarios, and is suitable for mobile edge computing environments.

The invention provides a railway bridge construction operation and maintenance method and system based on carbon emission optimization, relates to the technical field of traffic infrastructures, and aims to construct a bridge digital twin model in a construction stage to simulate and predict carbon emission dynamics. And carrying out correlation analysis on the carbon emission influence factors by using a space-time diagram network. The carbon emission is globally optimized through a quantum annealing algorithm, construction scheduling is optimized in combination with a quantum decision tree, dynamic regulation and control of the carbon emission are achieved, and meanwhile the influence on bridge material attenuation is determined. And an operation and maintenance stage: inputting the bridge structure attenuation information and the bridge structure data obtained in the operation and maintenance stage into a convolutional neural network, predicting a bridge structure state, and generating a dynamic maintenance decision according to the bridge structure state. The method can accurately monitor and optimize the carbon emission in the construction, operation and maintenance stages of the railway bridge, and provides technical support and decision basis for the industry to realize low-carbon and sustainable development targets.

The invention provides a method and system for drawing a 3D topological graph through an orthographic projection method, electronic equipment and a storage medium, and relates to the technical field of data visualization. The method comprises the following steps: firstly, automatically generating a two-dimensional top view according to network element information and a network element relationship of a CMDB module, and optimizing topology through one-key beautification or manual adjustment; the Z-axis height of the network element is modified, front-back and left-right view verification is switched, and the three-axis space position of the network element is adjusted; and finally, rendering the 3D icon, the height level and the three-dimensional connecting line dynamic effect, and generating an angle-adjustable 3D topological graph. According to the method, an orthographic projection method in engineering drawing is innovatively adopted, the 3D topological graph is efficiently constructed in a low-code mode, and the spatial position relation of each network element in the X-axis direction, the Y-axis direction and the Z-axis direction is accurately presented.

The utility model belongs to photovoltaic equipment cleaning technical field, concretely relates to a water -saving photovoltaic panel cleaning device based on centrifugal water and sand separation, including a plurality of photovoltaic panels, the upper portion of which is provided with a spraying assembly, the lower portion of which is provided with a water receiving assembly, the water receiving assembly is connected with the water and sand separation assembly, the water and sand separation assembly is connected with the water circulation assembly, the water circulation assembly is connected with the power system, and the power system and the water circulation assembly are electrically connected with the control system; the device is integrated with the spraying assembly, the water receiving assembly, the water and sand separation assembly, the water circulation assembly, the power system and the control system, realizes the closed loop recycling of cleaning water, reduces water resource consumption, and can efficiently remove sand particles through the centrifugal water and sand separation technology, reduces the risk of nozzle blockage, simultaneously utilizes the structure of photovoltaic panel self -power supply and is applicable to the area without power grid, and the overall structure is simple and reliable, convenient to maintain, is especially suitable for the efficient operation and maintenance of photovoltaic power station in arid sand area, and gives consideration to water saving, economy and environmental adaptability.

This invention discloses a controllable intelligent photovoltaic (PV) management architecture, belonging to the field of photovoltaic energy technology. The architecture includes an edge layer, a platform layer, and an application layer. The edge layer is used to collect equipment operation data and business management data in PV management. The platform layer is used for centralized storage, processing, analysis, and application of the data collected by the edge layer. The application layer provides intelligent operation and maintenance, management decision-making, and business empowerment based on the data and analysis results from the platform layer. This invention reduces the operation and maintenance costs and difficulty of PV power plants and avoids the problem of data silos.