6results about How to "Improve operation and maintenance level" patented technology

The application discloses a kind of tangential frost heaving force test methods of cold region pile foundation, belong to cold region pile foundation frost heaving prevention and control technical field, the test method of the application is in the top of test pile Design load is applied and is kept, and in the time point when freezing depth and frost heaving reach maximum, obtain annual maximum unit tangential frost heaving force, by the determination of dangerous section, obtain the maximum tangential frost heaving force that pile body bears, namely the most unfavorable load state that pile foundation faces in a year, can be directly used as the key design control value of pile foundation security guarantee, fundamentally avoid the problem of data randomness and insufficient representation caused by improper test timing, so that key design parameter originates from real annual most unfavorable working condition, provide more scientific and reliable basis for subsequent frost heaving prevention and control and stability checking.

The utility model discloses a nuclear power station large -scale component switching device, including platform, two material racks, the both sides of platform are equipped with support frame, the top of platform is equipped with horizontal slide rail, is installed with two horizontal slide plates on horizontal slide rail, and each horizontal slide plate is driven to remove by a set of horizontal movement drive mechanism, each horizontal slide plate is installed with horizontal slide rail respectively, is installed with a plurality of longitudinal slide blocks on horizontal slide rail, and the upper end of corresponding material rack is fixedly connected with longitudinal slide block, and the lower extreme of material rack is equipped with the supporting plate, and material rack removes on horizontal slide rail by longitudinal movement drive mechanism drive. The utility model discloses a nuclear power station large -scale component switching device, and horizontal, longitudinal movement drive mechanism cooperation slide rail slider structure realizes material rack accurate positioning and nimble removal, and the component switching efficiency is improved greatly.

This invention discloses a method for sensing the operational status of a distribution network, relating to the field of distribution network monitoring and intelligent operation and maintenance. The method includes: synchronous acquisition of multi-source ubiquitous data to construct a low-cost ubiquitous sensing network; edge-side data preprocessing and lightweight analysis; topology-adaptive multi-source data fusion: constructing a distribution network topology map based on neural networks and mining the spatial and temporal correlations of multi-source data; multi-dimensional quantitative assessment of operational status: constructing a multi-dimensional status assessment system; precise fault location and hierarchical early warning: fusing multi-terminal information to achieve precise fault location; and online model iteration and closed-loop optimization. This distribution network operational status sensing method, by employing a low-cost ubiquitous sensing network combined with dedicated sensors and non-intrusive monitoring, covers the entire distribution network—from source to grid to load to storage—solving the problems of large blind spots and high deployment costs associated with traditional sensing methods. It achieves effective monitoring of end nodes and branch lines, realizing the goal of full-area, blind-spot-free sensing.

The invention provides an EL and I-V integrated acquisition system and method and a defect detection system and method, which can be applied to the technical field of photovoltaic power generation. The acquisition system comprises an EL imaging device, an I-V acquisition device, a bidirectional program control direct current power supply module and a synchronous control module. The bidirectional program-controlled direct-current power supply module is configured to serve as a power supply to provide original current for the synchronous control module in an EL mode and serve as an electronic load to obtain current output by the object to be detected in an I-V mode; the synchronous control module is configured to output a controlled modulation excitation signal to a to-be-detected object in an EL mode and control the EL imaging device to work so as to obtain an EL image; and the control device is configured to control the I-V acquisition device to work in the I-V mode so as to acquire the I-V data of the to-be-tested object. According to the invention, the EL-I-V integrated efficient detection of the photovoltaic module can be realized in the daytime environment, and the accuracy and timeliness of defect detection are greatly improved.

The technical scheme of the utility model discloses a 110V DC branch load leakage protection device. According to the utility model, the direct-current shunt is adopted to directly collect the leakage current, and the positive and negative buses are adopted to respectively collect the working current, so that the inherent defect that the Hall current sensor is influenced by the temperature is avoided, and the current test precision of the Hall sensor is also prevented from being influenced by the mounting aperture and the relative position of the tested cable. According to the utility model, the value of the leakage current can be accurately tested, and then graded alarm processing is carried out.

This invention discloses a self-diagnosis and rapid fault location method for a hydropower station monitoring system, comprising the following steps: Step 1: Full-dimensional data acquisition and preprocessing of the monitoring system; Step 2: Multimodal feature fusion and extraction; Step 3: Hierarchical self-diagnosis verification; Step 4: Rapid fault location; Step 5: Fault level classification and emergency response linkage; Step 6: Adaptive optimization of the diagnostic model; Step 7: Diagnosis and fault log retention. Employing a hierarchical diagnostic mode that links the edge and cloud, combined with multimodal feature fusion, it enables comprehensive self-diagnosis of the monitoring system's own health status, effectively reducing false alarms and false negatives, while balancing real-time performance and accuracy. Based on fault causal graphs and Bayesian network correlation analysis algorithms, combined with the system topology, it can quickly locate the specific location of the fault source, the faulty component, and the triggering factors, solving the problems of delayed fault location and large errors in existing technologies.