6results about How to "Reduce errors in judgment" patented technology

The invention provides an electric quantity data restoration method and system based on a power grid operation mechanism. The method comprises the following steps: obtaining operation data of a power distribution network; based on a power grid operation mechanism, performing data checking on the operation data of the power distribution network by using a consistency checking method to obtain abnormal electric quantity data of the power distribution network; performing anomaly classification on the abnormal electric quantity data by using a rule-based classification method to obtain an anomaly type to which the abnormal electric quantity data belongs; according to the abnormal type, performing data restoration on the abnormal electric quantity data by using a pre-constructed electric quantity balance model; according to the invention, the operation data of the power distribution network is checked based on the power grid operation mechanism, so that judgment errors caused by data errors can be reduced; according to the invention, the pre-constructed electric quantity balance model is utilized to carry out data restoration on the abnormal electric quantity data after data checking, so that the abnormal electric quantity data can be corrected quickly, automatically and accurately.

The invention discloses a mold bag laying quality evaluation method, device and equipment based on image recognition and a storage medium, and relates to the technical field of mold bag laying quality evaluation, and the method comprises the steps: obtaining an orthoimage of a target area mold bag laying region shot by shooting equipment; carrying out automatic identification and image segmentation on the orthoimage, and determining boundary information and overlap edge information of a mold bag unit in the orthoimage; positioning a defect part according to the boundary information and the overlap edge information; and according to the boundary information and the lap joint edge information, measuring the lap joint width between the adjacent mold bags, and according to the defect part and the lap joint width, completing mold bag laying quality evaluation. Through the image recognition technology, automatic quality evaluation of the mold bag laying area is realized, and the evaluation efficiency and accuracy are improved. Compared with a traditional manual evaluation mode, the method has the advantages that the defect part can be positioned more quickly, and the overlapping width between the adjacent mold bags can be accurately measured, so that powerful support is provided for controlling the laying quality of the mold bags.

The application discloses a variable-inclination die frame oblique hole drilling clamp, relates to the technical field of die frame oblique hole drilling, and comprises an inclination electric adjusting mechanism, an electric locking mechanism and a controller. The inclination electric adjusting mechanism comprises a driving motor, and a rotating shaft is connected with a rotating shaft of the driving motor. The electric locking mechanism comprises an electric telescopic device mounted on an adjusting vertical plate. The electric telescopic device drives a column, the column corresponds to one adjusting hole, and the electric telescopic device drives the column to be sequentially inserted into the corresponding adjusting hole and a support hole of a corresponding angle, so that the adjusted adjusting vertical plate is adjusted and locked by the column. The controller is provided with an input unit matched with a required inclination input by a user. The controller controls the driving motor and the electric telescopic device according to the input inclination, adjusts the inclination through electric control, reduces manual operation, reduces the operation fatigue degree of operators and the operation risk degree, and reduces the judgment errors caused by manual judgment.

The invention relates to a pressurized water reactor steam generator abnormity diagnosis processing method. The method comprises the following steps: obtaining operation parameters related to the water level of a steam generator; performing abnormality diagnosis on the operation parameters, and determining an abnormality diagnosis result; outputting prompt information based on the abnormal diagnosis result; and determining a processing scheme corresponding to the abnormality diagnosis result, and performing abnormality processing according to the processing scheme. Abnormality diagnosis is carried out by obtaining the operation parameters related to the water level of the steam generator, prompt information is output, automatic abnormality diagnosis is achieved, and manual judgment time and judgment errors are reduced. In addition, the corresponding processing scheme is determined according to the abnormal diagnosis result, the correctness and efficiency of emergency intervention under the abnormal transient condition are improved, and safe and stable operation of the unit is greatly improved.

This application discloses a risk content detection method and related products. The method involves multi-dimensional feature scanning of the content to be detected to identify multiple potential risk root nodes corresponding to the content in a preset hierarchical policy tree; activating the policy subtree corresponding to each potential risk root node, and determining the risk path corresponding to each potential risk root node based on the root node and its corresponding subtree; deriving an evidence chain for each risk path based on the context of the content to be detected, obtaining the derivation result for each risk path; and determining the detection result of the content based on the derivation results of multiple risk paths. Compared to existing single-path classification paradigms, which are prone to false negatives and cannot comprehensively cover all risk points of the content, resulting in lower accuracy in risk content detection, this application has significant advantages.

The invention relates to the technical field of building engineering, and discloses a BIM model-based road and bridge construction monitoring method and system, through systematic data acquisition and integration, the method ensures the comprehensiveness and accuracy of information, so that various variables in the construction process can be monitored in real time, and the construction efficiency is improved. Due to the real-time performance, the method can quickly identify potential safety risks, accidents can be effectively prevented, the overall construction safety is improved, the quality and usability of data are greatly improved through the data preprocessing and calculation steps, redundant information is eliminated through classification and integration of multi-source data, and the safety of construction is improved. In addition, due to introduction of an abnormal judgment total coefficient YCZ, the method is endowed with a scientific decision-making basis, so that problems in the construction process can be presented in a quantitative mode, the scientificity and transparency of construction management are further enhanced, and meanwhile, the information transmission efficiency is improved through data analysis and generation of an alarm instruction.