9results about How to "Quick association" patented technology

The embodiment of the application provides a financial document question and answer method and device based on a label hierarchical knowledge graph, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring original question data input by a target object; constructing a label hierarchical knowledge graph based on a preset financial field resource information base; performing label query on the original question data based on the label hierarchical knowledge graph to obtain a target graph label; performing document query on the financial field resource information base based on the target graph label to obtain an initial query document; performing document screening on the initial query document to obtain a target query document; performing text generation based on the target query document to obtain target financial reply content; and replying to the target object based on the target financial reply content. The embodiment of the application can improve the efficiency and accuracy of question and answer generation in the financial field.

The application belongs to the technical field of water industry, and relates to a multi-source data semantic interaction method and system for the water industry, comprising: analyzing and processing multi-source monitoring data collected in real time to obtain a structured semantic data set containing multiple parameters; based on a preset early warning threshold, performing abnormality judgment on a target parameter; the target parameter is a specific monitoring parameter selected in the structured semantic data set; when the target parameter is abnormal, based on a pre-constructed correlation retrieval fusion model and the structured semantic data set, calculating the causal correlation strength of a first-level correlation parameter directly correlated with the abnormal target parameter; and according to the causal correlation strength of the first-level correlation parameter, the structured semantic data set and a parameter correlation rule, dynamically reasoning the abnormal reason of the abnormal target parameter. The application breaks through the semantic barrier of multi-source monitoring data, improves the accuracy of alarm, can accurately locate the abnormal reason, realizes efficient decision-making, and adapts to the multi-scene requirements of the water industry.

The application discloses a traffic simulation signal lamp timing method and device, computer equipment and a computer readable storage medium, wherein the method comprises: creating a static description under a traffic simulation scene, the static description containing multiple signal lamps; creating a dynamic description according to the static description; selecting one signal lamp in the dynamic description and setting timing information for the signal lamp; setting the timing information of the signal lamp as a timing template and setting the timing mode of the signal lamp as using the template; automatically associating and setting the timing mode of at least one other signal lamp in the dynamic description as using the template; for the signal lamp with the timing mode of using the template, using the timing information in the timing template in the simulation process. After the timing template and the timing mode are initially set for the selected one signal lamp, the timing mode is associated and set for the multiple signal lamps, the timing information is associated and configured in batches and quickly, and therefore the configuration efficiency of the timing of the multiple signal lamps is improved.

The application discloses an underground intelligent early warning cable and a preparation method thereof, and belongs to the technical field of cables. The cable comprises, from inside to outside, a core assembly, a wrapping assembly and an outer sheath assembly. The core assembly comprises at least one conductive wire core and a communication optical cable unit. The conductive wire core is in a twisted distribution, and the communication optical cable unit is arranged outside the conductive wire core. Each conductive wire core comprises a conductor, a temperature sensing optical fiber conductor unit and an insulation layer. A copper tape shielding layer is arranged outside the conductive wire core. Mica tape is arranged in the gap of the core assembly. The outer sheath assembly is low-smoke halogen-free polyolefin. Through the application, the communication optical cable unit and the temperature sensing optical fiber conductor unit are arranged, and the communication optical cable unit is arranged in the gap surrounded by the conductive wire core, so that synchronous transmission and backhaul of monitoring information are realized. Operation data can be quickly transmitted through the communication optical cable unit, and the problems of dispersed monitoring signal link, unstable transmission and feedback lag of traditional cables are avoided.

This invention relates to the field of petrochemical safety production management technology, specifically to an intelligent on-site safety management platform for petrochemical plants. The platform comprises a perception layer, a transmission layer, a data layer, an application layer, and a display layer. These layers work together to achieve full-process coverage of on-site safety management in petrochemical plants. The perception layer is equipped with positioning terminals, health monitoring equipment, behavior recognition equipment, and environmental monitoring equipment to collect personnel location, health data, work behavior, and environmental parameters. The transmission layer utilizes a 5G private network, a WIFI local area network, and a ZigBeePlus wireless communication module to achieve high-speed and stable data transmission between the perception layer and the data layer. This invention, through ZigBeePlus three-dimensional positioning technology, achieves personnel positioning accuracy down to the meter level, accurately pinpointing the specific location of personnel in plant areas and confined spaces. Vital signs are linked in real-time with location data; when personnel exhibit health abnormalities or are in dangerous areas, the system can quickly trigger an early warning and lock their location, reducing rescue response time by more than 50% and significantly reducing the risk of personnel injury or death.

The present disclosure relates to the field of artificial intelligence and logistics management, in particular to a delivery equipment management method, equipment, a background system, a storage medium and a product. The delivery equipment management method comprises: in response to a binding operation triggered by a delivery object through an interactive interface of a first terminal equipment, displaying a viewfinder through the interactive interface; the delivery equipment controls the temperature of the heat preservation area of the delivery equipment by using a temperature control device; sending the background system according to the identity information to the delivery equipment, so that the background system binds the delivery object, the delivery order information of the delivery object and the delivery equipment according to the identity information, and sends the binding result to the delivery equipment and the first terminal equipment; the delivery goods indicated by the delivery order information is placed in the heat preservation area; and in the case that the binding result represents a successful binding, the temperature information of the delivery equipment is displayed through the interactive interface.

This invention discloses a method and apparatus for multimodal image feature matching, designed to address the challenging image matching problem in complex scenes. It extracts image features from the input image, feeds the feature maps into a rapid initialization module to allow information interaction between image pairs to establish effective associations, and simulates the basic logic of human image observation by constructing a hybrid attention module to augment the input image data. A progressive matching strategy is employed, refining the key points obtained after the first coarse matching and then performing information fusion and enhancement, followed by another coarse matching and a final fine matching, thereby achieving efficient and accurate image matching. This invention is validated on massive amounts of traditional images, trained on multimodal image data, and fine-tuned based on test results to achieve efficient generation of reliable image matching results even under challenging conditions.

This application discloses methods, apparatus, equipment, and media for interlaboratory quality assessment or data analysis in medical laboratories, relating to the field of medical laboratory testing technology. The methods include: generating a corresponding reference standard deviation based on randomly generated reference target values ​​and reference coefficients of variation; performing normal distribution random sampling to obtain reference reported values; linearly fitting the reference target values ​​and reference reported values ​​to obtain reference coefficients of determination; determining a new step size for the reference coefficient of variation to initiate a new external loop until the external loop ends; generating relative coefficients of variation based on the reference standard deviation; constructing a target mapping relationship matrix between each relative coefficient of variation and the reference coefficient of determination; determining the target relative coefficient of variation based on the target mapping relationship matrix and using the actual coefficients of determination of each actual sample; and obtaining the target sigma metric value using the target relative coefficient of variation, thereby obtaining the analytical and quantitative results of the actual interlaboratory quality assessment. This improves the accuracy and efficiency of interlaboratory quality assessment analysis.

The application provides a kind of urban area-oriented multi-source remote sensing data joint positioning method and system, comprising: obtaining several optical stereo images and corresponding connection point data, constructing optical stereo regional network, extracting laser elevation control point data and digital surface model data within the scope of optical stereo regional network;Calculate the ground coverage range of several optical stereo images, map the ground coverage range to the grid unit using the grid lookup table, obtain the accurate image coordinates of the laser points combined with the screened laser elevation control point data, and output the laser elevation control point set;Based on the rational function model and affine transformation, calculate the laser elevation control point set, and construct a multi-source remote sensing data joint adjustment function model;Solve the multi-source remote sensing data joint adjustment function model, form the observation error equation, and solve the observation error equation by heuristic search, output the adjustment model parameter result and the final connection point ground coordinate.