20results about How to "Improve Acquisition Accuracy" patented technology

The invention relates to a big language model data analysis method and device, computer equipment, a computer readable storage medium and a computer program product, and is applied to an enterprise resource planning system (ERP) and the like. The method comprises the following steps: acquiring to-be-analyzed question number information, and matching a target data index in a preset data index set according to the to-be-analyzed question number information; matching a corresponding target data entity according to the to-be-analyzed question number information under the condition that the matching of the target data index fails; under the condition that the target data entity is successfully matched, acquiring a data index template, and determining a target data index according to the target data entity and the data index template; and obtaining target data according to the target data index, and obtaining a data analysis result according to the target data. By adopting the method, the intelligent number asking accuracy of the complex form can be improved.

The invention discloses a high-low voltage power monitoring system, and relates to the technical field of power monitoring. The high and low voltage power monitoring system comprises an electric signal data acquisition module; a communication line monitoring module; a signal sampling module; and an emergency repair module. The electric power data of the wire inlet end of the electric power system in the preset time period are collected in real time, electric signal processing is carried out to obtain the electric signal data, and then the electric signal data in the operation process of the electric power system are monitored in real time according to the communication line in the electric power system and data transmission is carried out. Meanwhile, signal extraction is carried out on the electric signal data in the data transmission process to obtain fundamental wave signals, sequential sampling is carried out, and finally the fault type and the fault position of the power system in the operation process are recognized according to the obtained abnormal load index, so that the real-time obtaining accuracy of the electric signal data in the power line is improved. The problem of low accuracy of real-time acquisition of electric signal data in a power line in the prior art is solved.

The invention discloses a workpiece three-coordinate measurement automatic error dynamic compensation method and system, and relates to the technical field of measurement error compensation. The method includes the steps that roughness data of a measurement point are obtained for the first time, and an initial information item is obtained and used for expressing the workpiece surface roughness degree within a target measurement point range; initial three-coordinate data of the target workpiece are obtained based on the result of the first measurement, initial data items are obtained, and the initial data items comprise the three-coordinate data of all the target measurement points and are used for feeding back specific specification data of the target workpiece. According to the method, the comprehensive roughness is obtained by obtaining the roughness data and the calculation result of the measurement point, the initial three-coordinate data of the workpiece is obtained based on the first measurement result, the dynamic roughness is obtained based on the dynamic data, and the compensation adjustment item and the initial data item are combined based on the positive and negative relation of the dynamic difference value. Therefore, the dynamic compensation effect on the error is realized.

The utility model discloses an auxiliary device for installing a high-strain sensor of a tubular pile. The auxiliary device comprises a vertical telescopic caliper, a transverse telescopic caliper and a positioning disc, the tops of the two vertical telescopic calipers are vertically connected to the two ends of the transverse telescopic caliper respectively; the two positioning discs are respectively connected to the bottoms of the two vertical telescopic calipers; the opposite surfaces of the two positioning discs are back surfaces; a plurality of positioning holes are formed in the front surfaces of the positioning discs; the vertical telescopic caliper and the transverse telescopic caliper are respectively provided with an outer sleeve body and an inner sleeve body, the outer sleeve body is provided with a plurality of positioning clamping holes, and the inner sleeve body is provided with a spring buckle which is positioned and fixed with any positioning clamping hole. When high-strain detection is carried out on the pipe pile, the installation auxiliary device can be unfolded, so that the positioning holes of the two positioning discs can be quickly and accurately aligned to the position to be drilled, and the centers of the strain sensors and the acceleration sensor on the two sides can be ensured to be on the same horizontal line so as to meet the detection requirement of the high-strain test; and the detection benefit and the detection data acquisition accuracy are improved.

The invention discloses a selenium element monitoring, regulating and controlling system and method for a wheat growth environment, and relates to the technical field of selenium element monitoring, regulating and controlling. The selenium element monitoring, regulating and controlling system for the wheat growth environment comprises a selenium element data acquisition module; a selenium element data processing module; an environment regulation and control module; and a system management module. According to the method, the selenium element influence index is obtained by obtaining the selenium element data of the to-be-detected wheat plant in the growth environment area and the growth environment data of the preset monitoring point, and meanwhile whether the selenium element data is within the growth index range of the to-be-detected wheat plant or not is evaluated; then obtaining an environment factor interference value and judging whether to execute an environment regulation and control measure, and finally monitoring the actual operation state of the system in real time to obtain an operation evaluation index and carry out optimization adjustment, so as to improve the evaluation accuracy of the wheat selenium element absorption efficiency in the monitoring regulation and control process. The problem that in the prior art, the wheat selenium absorption efficiency evaluation accuracy is low in the monitoring and regulating process is solved.

The invention relates to the technical field of charging control, and discloses a device charging control system and method and an electronic device.The device charging control system comprises a decoy control module and a charging compensation module, and the decoy control module decodes the charging compensation module when determining that a power supply device and an external device meet a preset charging control condition; determining a multi-dimensional charging negotiation signal adapted to the power supply equipment; generating a decoy control parameter according to the multi-dimensional charging negotiation signal; converting a first voltage signal acquired from the power supply equipment into a second voltage signal according to the decoy control parameter; and the charging compensation module converts the second voltage signal into a third voltage signal adapted to the external equipment, wherein the third voltage signal is a charging signal of the external equipment. Therefore, the charging control efficiency of the equipment can be improved.

The embodiment of the present application provides a data processing method and related products, wherein the method includes: in response to a data processing request from an external system, synchronizing a data source that meets a preset specification from an internal system through an adaptation center, the data source is used by the adaptation center to determine the business scenario corresponding to the data processing request; cleaning the data source according to the business scenario to obtain a target data source, and sending the target data source to the external system. The use of the embodiment of the present application is conducive to improving the accuracy of data acquisition.

This invention discloses an experimental water tank device for investigating changes in sand ripples on a near-bottom high-concentration sediment bed. The device includes a water storage tank, a straight-channel experimental water tank, and a sedimentation tank. The two sides of the straight-channel experimental water tank are connected to the water storage tank and the sedimentation tank, respectively. A transparent glass panel is installed on the surface of the straight-channel experimental water tank. A trolley track is fixedly installed at the upper end of the straight-channel experimental water tank, and a trolley is mounted on the track. A measuring mechanism is installed on the trolley, and a rangefinder is installed in the middle of the trolley. A flow meter is installed on one side of the trolley, and a 3D scanner is installed on the other side. The 3D scanner is installed on the lower end of the trolley's platform, with its scanning probe facing outwards and tilted downwards. A high-definition camera is positioned on the outside of the transparent glass panel. The measuring mechanism establishes a data transmission connection with a data terminal via a wiring harness. This invention features simple and quick assembly, high automation and efficiency, and the ability to continuously collect data on changes in sand ripples on the sediment bed surface in multiple dimensions.

The present invention discloses a method for acquiring a target image, a storage medium and an electronic device. The method comprises: acquiring a first target image to be identified, wherein the first target image contains at least one portrait element of a target object; in response to a target makeup instruction, acquiring a first region image containing the target portrait element from the first target image when a target makeup request for the target portrait element is acquired and at least one portrait element includes the target portrait element; determining a target substructure from at least two substructures of a target image structure according to a target element type and a target makeup type of the target portrait element; inputting the first region image as an input image into the target substructure to obtain a second region image; and acquiring a second target image according to the second region image and the first target image. The present invention solves the technical problem of low accuracy in acquiring a target image.

The embodiment of the invention discloses a model UV island obtaining method and device, computer equipment and a storage medium. The method comprises the steps of obtaining vertex coordinate information and texture coordinate information of a model vertex of a target object model subjected to mapping processing; performing two-dimensional expansion on the target object model according to the texture coordinate information to obtain a two-dimensional expansion plane which comprises an expanded grid surface of the target object model; grid surfaces on the target object model are divided according to the vertex coordinate information, a grid surface set is obtained, and any one grid surface in the grid surface set and at least one grid surface have a common model vertex; the unfolded grid surfaces corresponding to the grid surfaces of the grid surface set are screened, the UV island is obtained, the unfolded grid surfaces corresponding to the UV island are the same in normal direction and associated in texture, the accuracy of obtaining the UV island is improved, and quality inspection can be conveniently carried out on the unfolding effect of the target object model.

The application relates to a code translation method and device, electronic equipment and a storage medium. The method comprises the following steps: determining whether a source function needs to retrieve assistance, determining the source function and a corresponding similar function as input functions if the source function needs to retrieve assistance; otherwise, determining the source function as an input function; collecting context information related to the input function from a source warehouse and a target warehouse; generating an initial target function according to the input function and the context information; determining whether a test execution result is a test pass, and determining the initial target function as a target function if the test execution result is the test pass; otherwise, performing an iterative reflection repair operation until the test pass or a maximum iteration number is reached. A closed-loop mechanism of 'generation-test-reflection-retrieval-correction' is established, the error root cause is deeply analyzed, the context information is reacquired according to the error by calling a tool, accurate positioning and effective repair of the error code are realized, and the test pass rate of code translation is greatly improved.

The invention relates to a service evaluation text generation method and device, computer equipment, a computer readable storage medium and a computer program product, and is applied to the technical field of big data, the method comprises the following steps: obtaining historical evaluation text information of a target user, and extracting a plurality of first text keywords from the historical evaluation text information; based on the first text keyword and keyword tags of a plurality of preset evaluation texts, screening an evaluation text set corresponding to each first text keyword from the plurality of preset evaluation texts; for an evaluation text set corresponding to each first text keyword, screening a target evaluation text from the evaluation text set according to an effective evaluation degree label of each evaluation text in the evaluation text set; and generating a service evaluation text according to the target evaluation text. By adopting the method, the obtaining accuracy of the service evaluation text can be improved.

The present application discloses an object attribute acquisition method, device, electronic device and storage medium, and relates to the field of artificial intelligence technology. The method comprises: obtaining a training sample; the training sample is annotated with the real attribute name of the object described by the sample and the real attribute value matching the real attribute name; obtaining the attribute name prediction result and attribute value recognition result output by the initial model to be trained for the training sample; calculating the matching degree of the attribute name prediction result and the attribute value recognition result; training the initial model according to the real attribute name, the real attribute value, the attribute name prediction result, the attribute value recognition result, and the matching degree of the attribute name prediction result and the attribute value recognition result to obtain the information recognition model, so as to obtain the attribute name corresponding to the object description text and the attribute value matching the attribute name according to the information recognition model. The present application can effectively improve the efficiency and accuracy of obtaining object attributes.

The embodiment of the invention relates to an information processing method and device, equipment and a storage medium. The method comprises the steps of obtaining a to-be-processed target task and initial association information; the initial association information is stored by taking the first statement granularity as a unit; splitting the initial associated information to generate a plurality of pieces of first associated information of a second statement granularity; the second statement granularity is smaller than the first statement granularity; the first associated information is information with complete semantics; performing feature extraction on the target problem and each piece of first associated information, and determining the association degree between the extracted features as the association degree between the target task and each piece of first associated information; screening second associated information of which the association degree is greater than a first threshold value from the first associated information; and performing content summarization information extraction processing on the second associated information to generate target associated information. Therefore, the data volume of the target associated information and the loss probability of the key information are reduced, and the accuracy of the target associated information is improved.

The invention discloses an IOS system traceless burying point user behavior data processing method and device, the method is applied to an IOS system, and the method comprises the following steps: after determining that a preset burying point execution condition is met at present, according to a set event interception condition, intercepting a target event corresponding to the IOS system to obtain corresponding event interception data; according to the event interception data, an element identifier of the target event is constructed, and the element identifier is uniquely bound with the target event and is used for identifying the target event; the element identifier is also used for determining event association information between different target events; according to a preset data uploading mechanism, performing event judgment on the element identifier, and when a corresponding event judgment result shows that the element identifier meets an instant uploading condition, performing data uploading on the target event and the corresponding event interception data. Therefore, the data acquisition amount can be reduced, the data acquisition precision can be improved, the data utilization degree can be improved, and the data application scene and applicability can be expanded.

The present invention discloses a performance detection data processing and analysis method and system for a denture engraving machine, and relates to the technical field of electrical digital data processing. The performance detection data processing and analysis method for a denture engraving machine comprises the following steps: detection interference judgment, detection evaluation and detection adjustment. The present invention obtains a detection interference index through the acquired detection interference data and determines whether to perform detection evaluation. If detection evaluation is performed, a viewing angle evaluation index is obtained based on the acquired viewing angle data and the detection interference index to determine whether to perform viewing angle adjustment. At the same time, an occlusion evaluation index is obtained based on the acquired occlusion data and the detection interference index to determine whether to perform occlusion adjustment. Finally, it is determined whether to perform detection adjustment based on the viewing angle evaluation index and the occlusion evaluation index, thereby achieving the effect of improving the accuracy of obtaining the performance detection data of the denture engraving machine, and solving the problem of inaccurate performance detection data acquisition of the denture engraving machine in the prior art.

The present invention discloses a wet dual clutch temperature acquisition method and device, which is used to improve the accuracy of the clutch-related temperature acquisition. The method part includes: acquiring vehicle operating parameters, the vehicle operating parameters including the vehicle initial operating state position; judging whether the initial operating state position meets the preset conditions; if the initial operating state position meets the preset conditions, acquiring the segment temperature of the target segment in the first clutch at the previous moment; acquiring the sliding power of the target segment, and acquiring the cooling power of the target segment at the current moment; acquiring the heat conduction power of the second clutch to the first clutch at the current moment; determining the temperature of the target segment at the current moment according to the segment temperature, sliding power, cooling power and heat conduction power at the previous moment.

The invention relates to the technical field of computers, in particular to the technical field of artificial intelligence, and provides a release object acquisition method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring first publishing contents and first content feedback data of a plurality of candidate publishing objects on at least one external platform, and sharing data on an external platform associated with a target platform; for each candidate publishing object, executing the following operations: respectively obtaining a corresponding content label set according to respective basic attribute information of at least one first publishing content associated with one candidate publishing object; according to the obtained at least one content label set, first content feedback data associated with one candidate publishing object and external platform sharing data are combined, and corresponding object potential parameters are obtained; and selecting at least one of the plurality of candidate release objects as a target release object according to the obtained potential parameters of each object. According to the method, the object acquisition accuracy is improved through the multi-dimensional data.

The invention discloses a non-contact fingerprint identification method based on ridge line repair, and the method comprises the steps: S1, collecting a finger image in a non-contact manner, and carrying out the preprocessing of the finger image, and obtaining a fingerprint ROI image; s2, extracting coordinate information and angle information of feature points in the fingerprint ROI image to obtain a ridge graph; and S3, performing ridge line repair on the ridge line graph by using an RMO algorithm to obtain a fingerprint identification image, and the method can effectively eliminate false feature points on the basis of ridge line repair, thereby improving the feature point information acquisition accuracy and improving the fingerprint identification efficiency.

The present application provides a data processing method and device based on collection rules, which relates to the field of data processing technology and solves the technical problem of low accuracy of data collected from websites. The method includes: based on the comparison results of the repeated parts between multiple website domain names of multiple websites to be collected for data and the preset repeated part threshold, identifying at least two target websites to be collected for data corresponding to the same or similar target website format among multiple websites to be collected for data; judging whether there is a target data collection rule corresponding to the mapping of the target website format in the specified collection mapping relationship; if there is a target data collection rule in the specified collection mapping relationship, batch data collection is performed on at least two target websites to be collected for data through the target data collection rule, and the first final data collection results of at least two target websites to be collected for data are obtained.