7results about How to "Avoid judgment errors" patented technology

The invention discloses a bidding document auxiliary review method and system based on artificial intelligence, and relates to the technical field of bidding and bidding, and the method comprises the steps: obtaining a bidding document and a bidding document corresponding to the bidding document, and determining a corresponding bidding demand according to the bidding document; respectively obtaining text information about the bidding content and picture information about the bidding qualification in the bidding file; and respectively identifying the text information and the picture information, and matching and comparing the identification result with the bidding demand so as to inspect the bidding document. According to the invention, the problems of manual bid evaluation and poor accuracy in the prior art are solved.

This invention belongs to the field of fault early warning technology for unmanned mining trucks, and particularly relates to a data-driven fault pre-diagnosis method for unmanned mining trucks. This method considers the daily stable operation requirements of unmanned mining trucks and takes into account their complex structure. After detecting anomalies, it performs fault diagnosis and provides maintenance suggestions to maintenance personnel. This overcomes the shortcomings of traditional unmanned mining truck health management in terms of "pre-emptive" early warning and diagnosis, thereby improving the timeliness and effectiveness of fault pre-diagnosis and enhancing the stability and reliability of unmanned mining trucks in daily operation.

This invention relates to the field of aluminum formwork inspection technology, solving the problem of insufficient accuracy and precision in the inspection and sorting of high-precision aluminum formwork for aluminum buildings due to the difficulty in comprehensively covering complex surfaces and nodes. Specifically, it discloses an inspection and sorting device and method suitable for high-precision aluminum formwork. The device includes a feeding input mechanism, an inspection and sorting mechanism, an output mechanism, and a temporary storage mechanism. The feeding input mechanism is located between the output mechanism and the temporary storage mechanism, and the inspection and sorting mechanism is located above the feeding input mechanism, output mechanism, and temporary storage mechanism. The method includes S100, feeding positioning and preprocessing; S200, multi-dimensional inspection data acquisition; S300, algorithm inspection data processing; S400, sorting execution; and S500, inspection data recording and scheduling. This invention is used for the inspection and sorting of high-precision aluminum formwork in aluminum building structures, improving the inspection effect by increasing the inspection coverage and accuracy of complex surfaces.

This invention discloses a credit control management method, apparatus, device, storage medium, and program product. It acquires credit control execution results for all user accounts in a business system according to a preset cycle. Each user account is associated with at least one main product, and each main product is pre-configured with a corresponding credit control lifecycle stage and associated credit control rules for each stage. Based on the credit control execution results, target user accounts in abnormal scenarios are selected. Based on the credit control rules of the main product to which the target user account belongs, an audit query is performed on the target user account. The audit query results are summarized, and a credit control verification report is generated based on the audit query results. Using this invention, scattered credit control rules can be effectively organized, product-level credit control lifecycle management can be established, automated and intelligent monitoring can be achieved, and management efficiency and user experience can be improved.

The invention discloses an intelligent construction management system and method based on multi-source surveying and mapping data, and relates to the technical field of intelligent construction, and the method comprises the steps: extracting an actual measurement constraint surface parameter set and an actual measurement deviation parameter set based on the multi-source surveying and mapping data of a current process; taking the two as reference constraint conditions, inputting an original construction scheme of a next process to perform spatial feasibility verification, and outputting a conflict area and a conflict level thereof; based on the conflict area, the conflict level and the actually measured deviation parameter set, reversely deducing the adjustment amount required by the original scheme, and generating an adjustment parameter set, an adjustment amount level and an adjusted candidate scheme; and inputting the adjusted candidate scheme into an actual measurement constraint surface parameter set for reverse conformity verification, outputting a scheme available mark and a scheme adaptation degree score, executing corresponding three-level feedback according to an adjustment amount level and the adaptation degree score, and binding related parameters and feedback output to a current process node to form a reference package of a next process.

The invention discloses carbon brush holder electrical performance detection equipment and a detection method, and belongs to the field of carbon brush holder detection. Aiming at the industry blank that only basic physical indexes can be screened and the welding spot quality cannot be accurately judged in the existing carbon brush holder detection, the equipment takes a rack as a carrier, integrates a carbon brush holder positioning seat, an electrical property detection assembly and a PLC (Programmable Logic Controller) electric control system, and can be selectively provided with a pre-press mounting mechanism and a dotting mechanism. Through a constant voltage current measurement method, a magnetic switch cylinder drives a conductive block to be in short circuit connection with a probe, a servo motor drives a conductive press head to be in press connection with a positive electrode and a negative electrode to construct a detection loop, current data are collected at the precision of 0.01 A under the test voltage of 0.01-0.1 V, and the defects such as pseudo soldering and open circuit of a welding spot are accurately judged. The device is high in automation degree, improves the detection efficiency by more than 200% compared with manual detection, has a data tracing function, can fill the core performance detection blind area of the carbon brush holder, and is suitable for batch detection of the pump head carbon brush holder.

The application provides a kind of vehicle-mounted full work health monitoring system, method and computer program product. Including: physiological state perception module fuses the fusion feature vector of each channel physiological signal of occupant, obtains basic physiological index by time series multi-task regression model, calculates fatigue discrimination result, autonomic nervous balance index, combined with basic physiological index, obtains emotional stress level by single task classification model;Abnormal feature acquisition module when physiological state index, physiological signal deviates from preset benchmark, respectively quantitatively obtained first, second abnormal feature;Genetic risk coefficient calculation module calculates the PRS value of occupant;Disease risk probability calculation module combines disease diagnosis rule with abnormal feature, genetic risk coefficient, input probability type classification and survival analysis model obtains two kinds of probability and is fused into disease risk probability.The application accurately perceives the physiological state of occupant, establishes individualized physiological baseline to improve the precision of abnormal detection, and realizes the accurate prediction of disease risk in two dimensions.