14results about How to "Timely" patented technology

The invention discloses a cluster remote real-time state monitoring and fault diagnosis method and platform, and belongs to the technical field of thermal power. The method solves the problem that the existing method is poor in machine group judgment accuracy, analyzes the collected operation data through the data processing center, extracts the characteristics of the operation data and compares the characteristics with the fault database, so that the fault type and position of the thermal power plant equipment can be judged, and meanwhile, the fault judgment accuracy of the thermal power plant equipment is improved. By performing trend analysis on the historical operation data and constructing the fault prediction model based on the historical operation data, the fault of the thermal power plant equipment can be predicted, and through the above process, the operation state of the thermal power plant equipment can be monitored in real time and the fault can be accurately diagnosed. According to the device, the fault early warning can be given out when a fault is found, and the response of the worker to the fault early warning is monitored in real time, so that the timely response of the worker to the fault early warning is improved.

The invention discloses a tunnel fire detection and simulation method and system driven by video data, belongs to the technical field of computer vision and machine learning, and solves the problem that the current tunnel fire target detection algorithm is easy to cause insufficient distinguishing capability of vehicles and flames in a complex multi-target scene environment. The method comprises the following steps: preprocessing an obtained original data set to obtain a target data set to train an improved YOLOv8 neural network model, and carrying out target detection on a to-be-detected tunnel fire scene disaster image to obtain a central coordinate of each preliminary disaster object target for correction; after correction, a monocular vision positioning method is adopted to carry out position calibration and distinguishing on the corrected disaster situation object target, and then real-time scene twinborn modeling is carried out, so that a tunnel fire scene twinborn model is obtained and dynamically updated; and performing flame spread analysis on the tunnel fire scene based on the tunnel fire scene twinborn model, and realizing dynamic updating in un ity. The method is used for tunnel fire detection and simulation driven by video data.

This utility model discloses a safety protection device for ultra-high formwork support, including a safety buckle, a rotation auxiliary component, and a safety belt. The safety buckle and rotation auxiliary component are both mounted on a first guide rail and a second guide rail. An adjustment box is provided on the safety buckle. One end of the safety belt is connected to a retractor, and the other end passes sequentially through the safety buckle, the rotation auxiliary component, and the adjustment box, connecting to a safety ring. Multiple first elastic protrusions are evenly distributed on the upper and lower surfaces of the safety belt. Two limiting plates are provided inside the adjustment box. Multiple second elastic protrusions are evenly distributed on one side of each limiting plate, with the first and second elastic protrusions interlocking. A support mechanism is provided on the other side of the limiting plate. This utility model, by incorporating a safety buckle and an adjustment box, allows workers to easily and slowly adjust the length of the safety belt extending beyond the adjustment box at any time, expanding the workspace, preventing accidental activation of the centrifugal mechanism, and providing high flexibility and safety.

The invention discloses a satellite data traffic measurement method and system, and belongs to the technical field of satellite networks. In order to solve the problems of poor satellite network flow measurement precision and high complexity in the prior art, the invention provides a satellite data flow measurement method, which comprises the following steps: determining a satellite node for data flow measurement, and initializing a configuration probability data structure algorithm and an imitation learning algorithm; sampling network flow in a period of time, judging whether a data flow jitter value in the period of time exceeds a threshold value or not, and if the data flow jitter value exceeds the threshold value, generating a flow value according to a label value and an expert strategy by utilizing an imitation learning algorithm; if not, using a probability data structure algorithm to measure and record a label value, and generating an expert strategy according to the label value; and completing measurement. According to the method, resource utilization is reasonably optimized while the measurement accuracy is improved, high-precision and high-timeliness satellite flow measurement is achieved through mutual complementation of the probability data structure algorithm and the imitation learning algorithm, and the method is low in hardware dependency, high in precision, high in intelligence and high in adaptability.

This invention relates to the field of data retrieval technology, specifically disclosing a database-based method for rapid retrieval of skills learning data, comprising the following steps: S1: Preset a retrieval period, statistically analyze the types, occurrences, and frequencies of retrieval fields within the period, and stop if the threshold is not met; S2: Construct binary retrieval field combinations, calculate the frequency and correlation coefficient of each combination field; S3: Single-field retrieval matches initial courses, calculates popularity based on the number of enrollees and collections, and sorts them; S4: Divide primary and secondary fields to correct popularity, sort and filter popular courses, and establish a connection between combinations and courses; S5: Prioritize displaying related popular courses, continuously update the period, and repeat the process after decomposing multi-field combinations. This method can improve retrieval accuracy and efficiency, ensure course timeliness and recommendation quality, adapt to the needs of skills training platforms, optimize resource allocation, and enhance the platform's core competitiveness.

The utility model discloses an absorption tower slurry PH and density measuring device which comprises an absorption tower, a first drainage pipe and a second drainage pipe which are communicated with the absorption tower are installed at the bottom of the absorption tower, and the first drainage pipe is connected with a first sampling pipe and connected to an inlet in the bottom of a first measuring tank through the first sampling pipe. An outlet in the top of the first measuring tank is connected with a first liquid outlet pipe and connected to a discharge pipe through the first liquid outlet pipe, a first PH meter is inserted into the top of the first measuring tank, the second drainage pipe is connected with a second sampling pipe and connected to an inlet in the bottom of the second measuring tank through the second sampling pipe, and an outlet in the top of the second measuring tank is connected with a second liquid outlet pipe. The second measuring tank is connected to the discharge pipe through a second liquid outlet pipe, and a second PH meter is inserted into the top of the second measuring tank. The slurry in the first measuring tank and the second measuring tank adopts a bottom-in and top-out mode, so that the drained slurry has stability, timeliness and representativeness, and the measurement accuracy of the first PH meter and the second PH meter is guaranteed.

The invention relates to the field of flood control system construction and conversion construction methods, in particular to a flood control system construction and conversion construction method. The method comprises the following steps: filling a construction platform on the outer side of an existing flood bank, and constructing a temporary flood control device on the water side of an additional platform; the part, located on the immersed tube installation path, of an existing flood bank is broken, the revetment diaphragm wall is constructed through a construction machine, and the construction machine is located on the construction platform; according to the flood control system construction and conversion construction method, the risk of lateral collapse of an existing platform when a construction machine constructs the diaphragm wall in a dock entrance area is effectively reduced, more importantly, the flood control safety of the inner side of an embankment is effectively guaranteed, the construction period of foundation pit excavation is advanced, and more efficient construction is achieved.

The present invention discloses a method for detecting surface defects of fan blades based on sharing of multiple feature maps, which comprises the following steps in sequence: obtaining a target image of fan blade defects and establishing a data set; obtaining a target image of fan blade defects; data screening; labeling; making a VOC data set; target image preprocessing; image graying; Gaussian filtering; Canny edge detection; histogram equalization; network building, training and tuning; building a backbone network; designing a sharing unit; building a multi-feature map sharing network; training set data enhancement; model training and tuning. In order to achieve real-time detection and improve the accuracy of defect recognition.

This invention provides a method and system for constructing an industry graph based on scenario-based marketing, belonging to the field of industry graph construction technology. The method includes: processing media text to generate a text dataset using a BERT pre-trained model; processing scenario data to generate a behavioral dataset using a spatiotemporal calibration algorithm; aggregating these to generate an unstructured marketing dataset; combining the structured marketing dataset to generate a multimodal marketing scenario dataset; using a stream-batch integrated framework and entity disambiguation technology to process the multimodal dataset and construct a four-dimensional data lake; constructing a three-dimensional feature library and training a marketing scenario weight model; mapping the data lake to a graph database to form an industry chain topology; adjusting the strength of node relationships based on the weight model; learning the implicit features of nodes using the GraphSAGE algorithm; and generating a scenario-sensitive industry graph topology, thereby reflecting the relationships between industry entities in different marketing scenarios in real time and improving the accuracy of the industry graph in marketing decisions.

The application discloses an image classification model regression error reduction method based on uncertainty perception, and aims at the problem that a new version of an image classification model is difficult to be compatible with an old version of the image classification model after the image data is updated or the model architecture is updated. A model integration strategy is used to estimate and obtain an integrated prediction result of the model according to the uncertainty of the new and old image classification models in the prediction result. The integrated strategy is discussed for two cases of data-free and a small amount of label-free. For the data-free case, the uncertainty of the image classification model is estimated by using an image disturbance or a model disturbance. For the case of a small amount of label-free, the uncertainty of the old version of the image classification model is calibrated by using a temperature scaling method, so as to be aligned to the new version of the image classification model. The application reduces the regression error and obtains an integrated image classification model with forward compatibility, and has a better performance effect.

The invention belongs to the technical field of data analysis. The method comprises the following steps of: converting discrete textualized technical entities and relationships in a maintenance technical document into a group of mathematical constraint sets with internal logic by constructing a semantic geometric conformation library, so that a computable geometric representation is constructed for each possible technical semantic state of equipment; the establishment of the evolution path set further explicitly models an empirical rule contained in historical maintenance data into evolution logic and probability between different technical semantic states, and reveals a typical mode and an internal mechanism of equipment state recession; by calculating the docking affinity of the real-time data probe and the semantic geometric conformation, the current complex state, formed by multi-dimensional sensor data, of the equipment can be accurately mapped to a specific semantic state; this state is then projected to a set of evolutionary paths. The maintenance instruction generated by the invention not only has timeliness, but also comprises traceability explanation of a fault evolution path.

The present application relates to the technical field of natural language processing of clinical trial medical texts, and specifically discloses a method for enhancing the reliability of large model output based on a heterogeneous double model, which comprises: performing deep learning semantic analysis on user input, fusing symptom and time feature encoding, combining fruit fly algorithm collaborative optimization, accurately positioning implicit semantic drift, and identifying implicit symptoms and time features; according to the identified symptoms and time features, dynamically activating and matching the corresponding localized knowledge sub-graph in the knowledge graph; the present application introduces time perception coding and symptom entity vector matrix in the semantic feature space through deep learning semantic analysis and fruit fly algorithm collaborative optimization, can accurately identify the implicit semantic drift in the user input due to the difference in symptoms or time, the two-stage search mechanism of the fruit fly algorithm gradually converges the semantic analysis range to the global optimal position, locates the semantic center of the user's real intention, and provides a semantic benchmark for knowledge retrieval and reasoning.

The utility model belongs to the technical field of kitchen appliances, and discloses a small-size food processor which comprises a cup body, a shell matched with the cup body in a sealing mode, a motor arranged in the shell and located below the cup body and a handle located on the side portion of the cup body, a smashing device is arranged in the cup body, and a rotating shaft of the motor penetrates through the bottom wall of the cup body to be in transmission connection with the smashing device. The shell is provided with an air inlet and an air outlet which are located below the cup body, a first fan for pumping outside air into the shell is arranged at the air inlet, a second fan for pumping the air in the shell to the outside is arranged at the air outlet, and the first fan and the second fan are arranged towards the cup body. The first fan and the second fan jointly provide power for circulation of airflow, the heat dissipation efficiency of the cup body is improved, cooling of the cup body and slurry in the cup is accelerated, the waiting time needed by drinking of a user is shortened, and the use experience of the user is improved.

The invention provides a business acceptance order processing method and device, and the method comprises the steps: obtaining at least one commodity recovery order and at least one commodity maintenance order, determining at least one usable recovery assembly from the to-be-recovered commodities of the at least one commodity recovery order according to the first commodity information and the second commodity information, the recovery assembly is used for maintaining the to-be-maintained commodities in the commodity maintenance order; for each recovery assembly, determining the total processing duration required for disassembling the recovery assembly from the to-be-recovered commodity and delivering the recovery assembly to the position of the to-be-maintained commodity; and selecting a target recovery assembly with the shortest total processing duration from all the recovery assemblies, and distributing the target recovery assembly to the position of the to-be-maintained commodity. Therefore, by intelligently matching the available components and the maintenance requirements in the recovery order and selecting the option with the shortest processing duration, rapid maintenance can be realized, the resource utilization efficiency and the service response efficiency can be improved, and the user experience can be improved.