24results about How to "Realize automatic judgment" patented technology

The invention discloses an automatic causal structure generation method based on semantic representation and logical reasoning of a large language model. The method comprises the following steps: acquiring an input text; performing semantic coding and clustering on the obtained input text by utilizing a large language model, and establishing a candidate causal variable set; causal relationship detection is carried out on the established candidate causal variable set based on anti-fact intervention and do-calculation; performing causal direction judgment, and generating a directed acyclic causal graph meeting logic consistency; and on the basis of the generated directed acyclic causal graph, natural language interpretation is generated by using a large language model, and logic consistency closed-loop verification is carried out. According to the method, automatic generation from the natural language to the causal structure is realized, the causal variable set is automatically extracted and constructed from the unstructured natural language text, the defects that variables need to be manually defined and modeling depends on field experts in the existing causal modeling process are avoided, and the labor cost and professional threshold of causal structure construction are remarkably reduced.

The application discloses a tamping lower pick area discrimination method, electronic equipment and a computer readable storage medium. The method comprises the following steps: collecting an image of a lower pick area; dividing the image into subgraphs according to a set resolution; judging whether the current lower pick position is available for picking and whether there is another lower pick position according to the subgraphs; if a lower pick position is recorded, the fine adjustment distance in each fine adjustment direction is calculated according to the mapping relationship between the image and the real three-dimensional space coordinates; if no available lower pick position is recorded, it is determined that the lower pick position in the field of view is unavailable. The application can solve the technical problems that the existing tamping lower pick area discrimination method does not collect the real-time state of the tamping area, and does not consider the existence of obstacles, resulting in errors and omissions in the judgment of the lower pick area.

The present application belongs to the technical field of geophysical exploration, and specifically discloses a noise real-time monitoring method and device for seismic exploration. The device comprises a terminal control module, a wireless transmission module and a noise monitoring module; the noise monitoring module is in communication connection with the terminal control module through the wireless transmission module; the terminal control module calculates the minimum time interval of the data packet sent by the noise monitoring module and configures information for the noise monitoring module; the noise monitoring module collects noise signals, performs root mean square value calculation according to the set window length, performs consistency analysis on the continuous noise signals and multiple signal models, obtains the source type of the noise, and transmits the analysis results of the multi-channel collected noise to the terminal control module; and the terminal control module displays the analysis results sent by the noise monitoring module in real time. The present application can realize real-time monitoring of noise in the whole region and automatic determination of the interference source type, and can perform excitation control determination or disaster warning.

A method for determining the association and continuity combination of top-side-rock structural surfaces based on unsupervised learning is proposed. This method involves investigating the structural surfaces of the roof and side-rock masses in underground engineering projects to obtain geometric and statistical information. A unified encoding is performed to construct a joint feature set of roof-side-rock structural surfaces. An unsupervised density-based clustering algorithm is used for initial cluster analysis of the joint feature set. A swarm intelligence-based Lüperfox optimization algorithm is introduced to optimize key parameters of the DBSCAN clustering algorithm. A Latin hypercube sampling method is used to improve the population initialization process of the Lüperfox optimization algorithm, resulting in better DBSCAN hyperparameters and optimized structural surface clustering results. The method determines the structural surface system affiliation of structural surfaces in different locations, quantitatively calculates the spatial continuity and combination relationship of structural surfaces, and outputs the spatial association determination results and continuity levels of the roof-side-rock structural surfaces. This method enables intelligent identification and quantitative analysis of the spatial relationship between roof and side-rock rock structural surfaces.

The application discloses a kind of automated filling and checking method, system, product and medium of insurance information, and it is related to artificial intelligence field.The method comprises the following steps: in response to batch insurance instruction, the insured identity information is received and managed, and the independent data object is constructed to form the insured information set;Age is calculated by traversing the set and analyzing birth date;Age is used as a matching factor, matched with an insurance product rule base, to determine the applicable product plan range and premium calculation factor;Generate and bind a differentiated rule set for each data object;Based on context and differentiated rule set, generate an aggregated interactive interface;Receive input information in the exclusive problem area, and check according to the differentiated rule set;All input information that passes the check is summarized to generate an aggregated insurance order.Implementation of the technical solution provided in the application improves the efficiency of automated processing in the batch insurance scenario.

This invention discloses a real-time voice interaction and incremental backfilling method and system for interrogation transcripts, relating to the field of voice interaction technology. The method includes: acquiring a real-time voice stream and segmenting it into several voice segments; extracting voiceprint feature vectors, performing similarity comparisons, and determining speaker role labels; binding the voice segment corresponding to the stable transcription segment at the end of the sentence with the current target question identifier and the speaker role label to generate a four-tuple; establishing a voice backfilling index; and generating a voice playback control for each incremental backfilling answer field, which, when triggered by the user, plays back the corresponding voice segment according to the index. This invention solves the technical problems in interrogation transcript scenarios where the answer text and the original voice segment cannot be accurately bound, leading to the inability to verify the transcript; the lack of automatic attribution and persistent recording of speaker roles; and the inability to associate newly generated transcripts with new role information after new role registration.

This application discloses a method, apparatus, and device for determining the low beam headlight axis position, relating to the field of low beam headlight control technology. The method for determining the low beam headlight axis position includes: acquiring wheel contact point attitude data under multiple loading conditions; determining a fused tilt angle for multiple gears under multiple loading conditions based on an initial tilt angle, the tilt angle of the light axis for multiple gears, the abscissa of the wheel contact point, and the ordinate of the first wheel contact point; adjusting the regulatory-restricted tilt range of the light axis based on the abscissa of the wheel contact point and the ordinate of the second wheel contact point to obtain a target restricted tilt range; and determining the target low beam headlight axis position for the target vehicle model under the target loading conditions from among the multiple gears based on the target restricted tilt range and the fused tilt angle. This solution can ensure accurate adaptation to safety compliance ranges for different vehicle configurations.

This invention relates to the field of automatic high-temperature label pasting technology for hot-rolled steel coil production lines, and in particular to a high-temperature label suspension and transfer device, system, and method. The device includes a label forming mechanism comprising a mounting plate, a printer mounted on the mounting plate, and an intelligent camera mounted above the printer; a carrying mechanism comprising a mounting assembly mounted on the mounting plate and a lifting plate mounted on the mounting assembly; and a pneumatic control mechanism comprising a pneumatic generating assembly mounted on the mounting plate and a transfer assembly mounted on the lifting plate. Through the establishment of a process control system, label printing control, suspension and transfer control, intelligent camera recognition control, and label transfer control to the labeling device are integrated, achieving stable and accurate transfer of ultra-high-temperature labels. Without operator intervention, the device automatically judges the validity of label printing and intelligently determines the shape and position of the labels, enabling fully automated operation of the labeling device throughout the entire process.

The present application relates to the technical field of electric digital data processing, and particularly relates to a tea sample processing method. The method comprises the following steps: acquiring a meteorological parameter list R of tea samples, R=(r1, r2, …, r i ,…,r u ), r i is a record of the meteorological parameter of the i-th tea sample; acquiring a standard priority sequence Z of the tea samples; traversing R, and adding r j i,m to a preset j-th original sequence H m,j of the m-th meteorological parameter; acquiring a Pearson correlation coefficient original list P; traversing P, and if p m,j ≥p0, then adding the key information (m, j) corresponding to p m,j to a preset target parameter sequence G; acquiring a target weight sequence A; acquiring data E of a target tea; traversing E, and according to e n , acquiring the grade b n of the target tea; and acquiring the priority z' of the target tea. The present application can automatically judge the priority of tea.

The application relates to an adaptive direct-current input interface circuit and a driving method thereof. The circuit comprises a voltage comparison module, an adaptive protection module and a voltage reference module. The voltage reference module performs voltage stabilization processing on a target direct-current power supply to obtain a reference direct-current power supply and transmits the reference direct-current power supply to the voltage comparison module. The voltage comparison module divides the voltage of two types of power supplies to obtain a to-be-detected voltage and a reference voltage and obtains a voltage comparison result according to the difference between the to-be-detected voltage and the reference voltage. The adaptive protection module performs polarity detection on the target direct-current power supply to obtain a power supply polarity detection result. According to the two types of results, if the target direct-current power supply is of a positive polarity and is within a voltage control range, the adaptive protection module turns on the connection between the target direct-current power supply and a subsequent circuit; if the target direct-current power supply is of the positive polarity and is not within the voltage control range, the adaptive protection module blocks the corresponding connection; and if the target direct-current power supply is of a reverse polarity, the adaptive protection module blocks the corresponding connection. The method can realize adaptive identification and protection control of a direct-current input interface under an abnormal power supply scene.

This invention discloses an underground cavity exploration and detection device and method, belonging to the field of underground cavity detection technology. The device includes a vehicle body equipped with a seismic hammer, lateral and longitudinal detection components, a support component with a geophone, and a control module. The support component is telescopically adjustable, and the geophone is pressed against the ground by a spring. The method includes road surface clearing, vehicle positioning and automatic leveling calibration, seismic hammer impact to generate seismic waves, geophone receiving the seismic waves and converting them into electrical signals, control module processing data, equipment retrieval, and multi-point repeated detection. This invention achieves automatic leveling and adjustment, improving detection accuracy; ensures stable reception of seismic wave signals, reducing attenuation interference; and automated operation reduces manpower and errors, meeting the needs of large-area rapid exploration, and is suitable for hazard investigation in urban roads and other areas.

The application discloses a fire emergency lighting and evacuation indication system distribution circuit insulation fault detection method, which comprises the following steps: an emergency lighting controller of a fire emergency lighting and evacuation indication system automatically sends an insulation fault detection signal to a subordinate emergency lighting centralized power supply; after receiving the insulation fault detection signal, the emergency lighting centralized power supply executes an insulation fault detection process; an insulation detection module transmits an insulation fault type and an insulation fault occurrence position to the fire emergency lighting and evacuation indication system; the fire emergency lighting and evacuation indication system automatically resets an emergency lighting centralized power supply main / backup power switch and an insulation good topology structure, and informs an operation and maintenance personnel to carry out maintenance. The application adopts an insulation detection module to control the connection and disconnection of each trunk and branch node of a distribution circuit, changes a circuit topology, analyzes insulation resistance detection values and insulation fault characteristics of different circuit topologies, automatically judges and locates an insulation fault, quickly processes the insulation fault and restores normal working states of each component of the system.

The invention relates to the technical field of image processing, in particular to a method and system for rapidly judging fresh tea leaves of different quality grades based on image recognition. The method comprises the following steps: collecting digital images of fresh tea leaves in a standard illumination environment; preprocessing the digital image of the fresh tea leaves; extracting multi-dimensional features of the fresh tea leaves from the preprocessed digital image; inputting the multi-dimensional features of the fresh tea leaves into a pre-trained quality grade judgment model to obtain quality grades of the fresh tea leaves; the system comprises an acquisition module, a preprocessing module, an extraction module and a judgment module. In this way, standardized and automatic judgment of the quality grade of the fresh tea leaves is achieved.

The invention discloses a man-machine interaction method and device, equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence, and the method comprises the steps: after receiving voice information inputted by a user, determining a vertical domain or topic to which the voice content of the voice information belongs, and if the vertical domain to which the voice content belongs is a target vertical domain needing children stylized reply or the topic is a target vertical domain needing children stylized reply; the topic to which the voice content belongs is a target topic needing children stylized reply, and judging whether the user is a children user based on the voice information; and if the user is a child user, outputting child stylized reply information generated based on the voice content. After the voice information input by the user is received, when it is determined that the child stylized reply condition is met according to the voice information and the voice content of the voice information, the user is replied in the child style, whether child stylized reply is needed or not is automatically judged, and the intelligence of man-machine interaction is improved.

The invention provides a semiconductor defect test data analytic judgment and processing method and system. The method comprises the following steps: acquiring test data and corresponding test condition information; analyzing the test condition information, and constructing a test condition parameter set; judging whether the test condition parameter set meets a preset analysis rule or not to determine whether the test data can be analyzed or not; if it is judged that the test data cannot be analyzed or the analysis condition is insufficient, condition gap information is output, and a processing instruction is generated based on the condition gap information; and if it is judged that the test data meets the analysis conditions, executing a data analysis process matched with the test condition parameter set to extract defect characterization parameters. According to the method, the accuracy and the applicability of semiconductor defect test data analysis are improved, and a process closed loop of data acquisition, analytic judgment, processing instruction generation and defect characterization parameter extraction is realized.

The application discloses a small hydropower station operation knowledge graph construction method based on point table semantic analysis, and belongs to the technical field of small hydropower station automation and intelligent operation, and the method comprises the following steps: performing multi-granularity semantic decomposition on point table data to generate a candidate entity set; performing field adaptive entity recognition to obtain an operation entity set; performing cross-plant semantic embedding normalization processing; performing multi-dimensional operation relationship reasoning based on a graph attention mechanism; constructing a triple and performing topological consistency verification; and performing safety constraint propagation and operation condition reasoning.

The application relates to the field of textile production quality prediction, in particular to a data processing method and system for bio-based nylon digital jet printing low-temperature fixation, wherein the method comprises the following steps: obtaining related data of bio-based nylon fabrics with known quality, and dividing historical samples; all historical samples are constructed into multiple clustering clusters; a convolutional neural network model of each clustering cluster is trained to obtain a quality prediction model of each clustering cluster; related data of a bio-based nylon fabric to be detected are obtained and corresponded to a target clustering cluster to which the bio-based nylon fabric to be detected belongs, and the quality prediction model of the target clustering cluster is used for quality prediction of the bio-based nylon fabric to be detected. The technical scheme of the application solves the problem that the prior art ignores the influence of temperature time sequence fluctuation on the fixation quality of bio-based nylon fabrics. The application realizes real-time prediction of the low-temperature fixation quality of bio-based nylon fabric digital jet printing.

This invention discloses a smart agricultural crop growth monitoring method based on image processing, comprising the following steps: S1, acquiring and preprocessing target crop images at a preset frequency to construct a crop image sequence; S2, extracting crop regions to construct a crop region sequence; S3, extracting leaf morphology, color distribution, and texture structure features to generate a crop feature sequence; S4, extracting the spatial coordinates of the crop regions and performing spatial calculations to obtain a growth parameter sequence; S5, constructing a growth state sequence based on the crop feature sequence and the growth parameter sequence; S6, performing two-dimensional empirical mode decomposition and statistical analysis on the growth state sequence to construct a growth trend sequence; S7, classifying the growth trend sequence using a support vector machine to generate crop growth monitoring results. This invention comprehensively utilizes DeepLabV3+ models and other technologies, possessing advantages such as high monitoring accuracy, high automation, and strong environmental adaptability.

This application relates to the field of equipment management technology, and in particular to a method and apparatus for monitoring equipment in a laboratory. The method includes: acquiring images of the actual laboratory scene; determining equipment information for at least one piece of testing equipment based on the images; displaying the equipment information for each piece of testing equipment while simultaneously determining whether each piece of testing equipment meets preset abnormality conditions based on the equipment information; wherein, if the preset abnormality conditions are met, an equipment abnormality alarm is triggered for the user. This solves the problem that related technologies can only detect equipment abnormalities through manual inventory and lack real-time alarm functionality, thus making it difficult to detect equipment abnormalities technically.

The invention discloses a gas valve control device for a transformer oil chromatographic analysis test, which belongs to the technical field of transformer monitoring and comprises a gas component analysis module, a gas information acquisition module, a valve switch control module and an electromagnetic valve. The gas valve control device is arranged at a gas outlet of a steel cylinder for a transformer oil chromatographic analysis test; the gas component analysis module is used for identifying gas types; the gas information acquisition module is used for acquiring gas flow velocity and gas flow; and the valve switch control module is used for judging that an electromagnetic valve at a gas outlet of a steel cylinder for the transformer oil chromatographic analysis test is not closed and controlling the electromagnetic valve to be closed when the gas flow rate is greater than the gas flow rate threshold value or the gas flow is greater than the gas flow rate threshold value. The problem that in the prior art, relevant measures for forgetting to close the valve after analysis work of workers is finished do not exist can be solved.

An auxiliary checklist system for single pilot driving of a commercial aircraft comprises a checklist trigger judgment unit, a checklist management and generation unit, a multi-mode prompt and interaction unit, a rapid operation input unit, an automatic execution and protection unit and a standby operation unit. Comprising a normal check list, an abnormal check list and an emergency check list. And the pilot identifies the type of the checklist needing to be executed according to the color of the prompt lamp and looks up the specific content of the checklist through the electronic display screen. In the period of executing the check list, the module provides a voice reading function, so that a pilot can receive an instruction through hearing, and the operation convenience under high workload is improved. Meanwhile, the pilot can use the quick operation button to perform quick operation on the electronic checklist while keeping aircraft control, so that the operation complexity is reduced, and the execution efficiency is improved.

The application discloses a kind of intelligent fork truck dynamic scheduling system and method based on multi-source data fusion, collect ground scale weighing, temporary storage container in situ detection, warehouse position occupation, detection platform use and work position calling signal and other multi-source data, adopt attention mechanism network weighted fusion, build environment and task comprehensive model.Based on fusion data generation detection, warehouse entry, warehouse exit and other scheduling tasks, make clear that detection scheduling is prior to handling scheduling, realize task priority allocation, AGV dynamic scheduling, optimal path planning and conflict avoidance;Through AGV state feedback adjustment task strategy, full-process key information is projected to monitoring large screen to realize visual management;System includes core inspection system, downstream AGV scheduling system and communication and integration module, each unit cooperates to complete data acquisition, fusion processing and other functions.The application improves the intelligentization and automation level of scheduling, reduces manual intervention, guarantees logistics operation efficient and accurate, and is suitable for heavy industry, machining and other large-scale production scenes.

This invention discloses a safety early warning method and related device for harmful flow patterns in oil and gas gathering and transmission-riseer systems, belonging to the field of oil and gas field safety production assurance technology. The method utilizes a sliding window approach to calculate the mean sequence, obtains predicted values ​​for future times under steady-state conditions through an LSTM prediction model, extracts adaptive features and thresholds from steady-state data and future data under different operating conditions, and compares predicted and measured values ​​based on the "steady-state" assumption to automatically determine transient flow within the system. It predicts the changing trend of riser pressure differential amplitude during transient processes and continuously judges whether harmful flow patterns occur, thereby triggering an early warning mechanism. This method adaptively predicts based on changes in gas and liquid flow rates within the gathering and transmission-riseer system, resulting in high early warning reliability, a wide applicable gas and liquid flow range, and an extremely low false alarm rate. The early warning model does not require pre-acquiring a training set, further ensuring the flow safety of oil and gas gathering and transmission systems and providing effective safety control margins to address harmful flow patterns generated on-site.

The application discloses an assembly gap detection method, device and equipment and a storage medium, and belongs to the technical field of vehicle assembly. The application obtains a two-dimensional image of a foreground component in a preset direction; generates a three-dimensional contour point cloud of the foreground component according to the two-dimensional image; determines a gap reference point according to the three-dimensional contour point cloud and digital model data of a background component, the gap reference point being an auxiliary point between assembly gaps; detects the assembly gap between the foreground component and the background component based on the gap reference point, sets a ray cluster based on the gap reference point, simulates a human eye observation angle by using the ray cluster, and judges whether the internal hiding can be seen or not by the intersection of the ray and the product, so that automatic judgment of the visible internal hiding is realized, the possibility of missed detection is completely avoided, and the detection efficiency and accuracy are improved.