25results about How to "Ensure data accuracy" patented technology

The utility model provides an oil level detection control system and engineering machinery. The oil level detection control system is used for the hydraulic oil tank and comprises a liquid level sensor arranged in the hydraulic oil tank and used for detecting a first oil level value of the hydraulic oil tank; the tilt angle sensor is arranged on the hydraulic oil tank and used for detecting the tilt angle of the hydraulic oil tank; and the electric cabinet is connected with the inclination angle sensor and the liquid level sensor and used for receiving the inclination angle and the first oil level value and updating the first oil level value according to the inclination angle to obtain a second oil level value of the hydraulic oil tank.

The invention provides a navigation simulation test method and system, and is applied to the technical field of ship engineering, and the method comprises the steps: obtaining the state data of a ship, a target ship state list, and the number of target scenes, respectively extracting list data from a target ship distance list, a target ship speed list and a target ship course list in the target ship state list, and combining the list data as a target ship state; according to the state of the ship and the state of the target ship, the position of an actual collision point of the ship and the target ship is obtained; under the condition that the position of the actual collision point meets a specific condition, adding the state data of the ship and the state data of the target ship as a group of scene data into a simulation test list; converting the simulation test list into a simulation test file under the condition of traversing possible combinations of all target ship state data; based on the simulation test file and the target scene number, a ship navigation simulation test is carried out, a simulation test result is generated, the simulation test efficiency can be improved, and the test result is more objective and comprehensive.

The invention relates to the technical field of power grid data, in particular to an intelligent power grid data approval system which comprises power grid equipment, a data acquisition module, an error verification compensation module, a data processing module and an intelligent approval module. The error verification compensation module comprises a parameter forgery module, a data set selection module, a data comparison module, an error recording module and an error compensation module, and the parameter forgery module can set a false parameter according to data transmitted by the data set selection module for the data acquisition module to perform acquisition work; compared with an existing intelligent power grid data approval system based on a mobile terminal, the intelligent power grid data approval system can detect the equipment of the data acquisition terminal, and when the equipment of the data acquisition terminal goes wrong, the problem can be found in time, so that the influence of wrong data on the work of the system is avoided; and meanwhile, if the data deviation of the acquisition end has a certain rule, automatic compensation can be carried out, so that short-time work of the system is ensured, and time is reserved for maintenance of workers.

The application relates to a ZeroMQ-based distributed MQTT high-concurrency connection test method, which comprises the following steps: a control node and a plurality of Worker nodes establish a communication link through ZeroMQ, and each Worker node is instructed to create a corresponding number of Worker processes according to the number of local CPU cores; the control node broadcasts preparation instructions and subtask parameters to all Worker processes, so as to instruct each Worker process to execute a preparation process according to the corresponding subtask parameters; and the control node generates start instructions of each Worker process based on the target execution time of each Worker node, and sends the start instructions to each Worker process, so as to instruct each Worker process to execute a high-concurrency connection test in parallel. The application can truly and accurately evaluate the connection processing performance of a large-scale MQTT cluster under extreme pressure with low-cost hardware resources.

The utility model discloses a water and soil loss evaluation measuring instrument, and relates to the technical field of water and soil loss measurement. The device comprises a measuring rod, the top of the measuring rod is fixedly connected with an operation plate, the outer surface of the measuring rod is slidably connected with a sliding seat, the top of the operation plate is fixedly connected with a rainwater collecting box, the outer surface of the rainwater collecting box is provided with a first graduated scale, and the outer surface of the measuring rod is provided with a second graduated scale. A plurality of sleeves are rotatably connected to the interior of the sliding seat at equal intervals, sleeve rods are slidably connected to the interiors of the sleeves, supporting seats are fixedly connected to the bottom ends of the sleeve rods, and a filtering mechanism is arranged at the top of the rainwater collecting box. And after cleaning is completed, the filter plate is put back to the original position, so that cleaning of the filter plate becomes simple and rapid, and the data accuracy and efficiency of the rainwater collecting box are guaranteed.

The utility model discloses a non-contact type physical sign and sleep state monitor relates to sleep monitor technical field, including the casing, one side of casing is equipped with the wire, the anti-drop mechanism includes the inner cavity that is provided in one side top end of casing, the inner side of the inner cavity is fixedly connected with the spring 1, the side face of T-shaped slider is fixedly connected with the L-shaped card board, the L-shaped card board is fixedly connected with the T-shaped slider, and the T-shaped slider is fixedly connected with the spring 1. By pulling the L-shaped clamping plate outwards, the L-shaped clamping plate drives the sliding plate to slide until the abutting plate is attached to the side face of the inner cavity, the L-shaped clamping plate slides upwards until the L-shaped clamping plate is just clamped outside the wire plug, and at the moment, under the action of the first spring, the L-shaped clamping plate and the abutting plate are matched with each other, so that the wire plug is clamped in the inner cavity. The electric wire is firmly fastened on the shell, so that the monitor can prevent the electric wire from loosening or falling off due to external influence. The data accuracy of the sleep monitor is ensured, and the phenomenon of data omission is avoided.

The invention discloses a robot control method and device and a readable storage medium, and relates to the technical field of robots. The control method of the robot comprises the steps that in the process that the robot moves according to a preset path, a target coordinate point in the preset path is obtained, and pose information of the robot is obtained; establishing a speed error correction model corresponding to the robot; inputting the target coordinate point and the pose information into a speed error correction model to obtain a first speed value output by the speed error correction model; and when the robot moves to the target coordinate point, adjusting the speed of the robot to a first speed value. The operation precision of the robot is improved.

The invention discloses an SAR (synthetic aperture radar) image target detecting and tracking method, which relates to the technical field of target detecting and tracking, and comprises the following steps of: transmitting a microwave signal through a synthetic aperture radar, and receiving a signal reflected by the ground to generate an SAR image; the generated SAR image is preprocessed, so that the image quality and the target detectability are improved; identifying and positioning a selected target from the preprocessed SAR image; and continuously acquiring each frame of SAR image according to the time sequence. According to the method, the convolutional neural network is used for evaluating target form changes between adjacent frames, rapid and normal form changes are identified, and for the normal form changes, the optimal constant speed is adopted for tracking, so that the efficiency and the precision are ensured; for rapid form change, tracking speed reduction and continuity and stability guarantee, the method can timely adjust strategies, reduce prediction errors, effectively prevent target loss, provide reliable target control and monitoring in military monitoring and disaster monitoring, and avoid heavy loss.

The application discloses a tool wear monitoring device with a self-cleaning function and belongs to the technical field of machine tool tool state monitoring. The device comprises a chassis, an X-direction displacement assembly, a Y-direction displacement assembly, a Z-direction displacement assembly, an angle adjusting assembly, a clamping piece, a self-cleaning protection assembly, a cleaning medium supply box and a positioning assembly. The clamping piece is installed on the outer wall of a tool shank through a split half structure, a sensor module is embedded in the clamping piece, and a sensing probe penetrates out to the outer surface of the clamping piece. The self-cleaning protection assembly comprises a protective cover body, a turnover cover plate, a micro drive motor and a wiping piece, and the wiping piece wipes the surface of the sensing probe during the opening and closing of the turnover cover plate. The cleaning medium supply box sprays medium to the machining area through a conveying pipe, thereby reducing the splashing of pollutants in the direction of the sensing probe from the source, and the two components cooperatively form a cleaning chain of "source control-end removal", thereby realizing the long-term stability and accuracy of monitoring data.

The invention discloses capsule detecting and sorting equipment and relates to the technical field of capsule detecting and sorting, the capsule detecting and sorting equipment comprises a rack and a storage hopper, the storage hopper is fixedly connected to the top end of the rack, capsules are placed on the inner side of the storage hopper, a sorting mechanism is arranged at the discharging end of the storage hopper, and a detecting and weighing mechanism is arranged at the discharging end of the sorting mechanism; a detection weighing mechanism is arranged, the mechanism can realize stable rotation detection of a cylindrical capsule and a capsule with non-uniform gravity at two ends, and when the capsule with non-uniform gravity at two ends is detected, the problem of clamping stagnation or non-uniform rotation can be effectively avoided; meanwhile, the mechanism enables the capsule to continuously slide along a single inclined slide way, 360-degree panoramic appearance imaging detection and dynamic weighing are sequentially completed in the sliding process, the whole detection process can be completed without pausing the capsule, and the overall detection efficiency is remarkably improved.

The utility model relates to the technical field of electrolytic aluminum production. The electrolytic bath temperature online monitoring device comprises a base, a mechanical arm and a crust breaking temperature measuring assembly, one end of the mechanical arm is arranged on the base, and the other end of the mechanical arm is connected with the crust breaking temperature measuring assembly; the mechanical arm is used for controlling the crust breaking and temperature measuring assembly to conduct crust breaking and temperature measuring operation. The crust breaking and temperature measuring assembly is carried by the mechanical arm to achieve automatic crust breaking and temperature measuring, safety risks such as scalding and gas injury caused by manual operation in dangerous environments such as high temperature and easy gas leakage are avoided, meanwhile, the labor intensity of operators is reduced, operation errors caused by manual fatigue are avoided, and the working efficiency is improved. Therefore, the problems of high labor intensity, high safety risk, low measurement frequency, poor data real-time performance and temperature adjustment lagging existing in manual measurement in traditional electrolytic bath temperature monitoring are solved.

The invention discloses silica gel material heat conductivity coefficient testing equipment, and belongs to the technical field of heat conductivity coefficient testing, and the silica gel material heat conductivity coefficient testing equipment comprises a control cabinet body, the top end of the control cabinet body is provided with a protective cover, the protective cover is internally provided with a testing main body, and the protective cover is also internally provided with a drawing unit; and the drawing unit is used for assisting sample placement and automatic feeding work, and the position of the drawing unit corresponds to the position of the cold pole unit. The system has the beneficial effects that the drawing unit is arranged, the two sets of conveying units are arranged in the drawing unit, one set of conveying unit is used for placing a plurality of samples to be detected in advance, the other set of conveying unit can be used for placing the detected samples, and after one sample is tested, the system can automatically move out the detected samples; in the whole process, an operator does not need to frequently open and close the cover door, the manual intervention time of a single test is reduced to zero, and the test efficiency is greatly improved.

The utility model relates to the technical field of anti -seismic device, and disclose a pipeline support hanger anti -seismic device based on intelligent stress monitoring, solved the existing anti -seismic device and pipeline support hanger connect very inconvenient, need to adopt external installation tool to operate, and with high altitude operation undoubtedly greatly increased the work staff installation difficulty problem, it includes support frame, the upper portion of support frame is detachably connected with the clamp through bolt, and the both ends of support frame top are all seted up with mounting groove, and the inner wall of one side of two mounting grooves is all fixedly installed with the plug -in stick, the surface of plug -in stick all is equipped with the bearing, the outer ring surface of bearing all is fixedly installed with the thimble, and the upper portion of two thimbles all is fixedly installed with spring damping rod, when this anti -seismic device and pipeline support hanger connect very convenient, need not to adopt external installation tool to operate, and reduced the installation difficulty of high altitude operation, has very good use effect.

The invention relates to the technical field of data sharing evaluation, and discloses an enterprise financial sharing evaluation method and system based on big data, and the method comprises the steps: analyzing historical enterprise financial data based on a decision tree algorithm, and building a data quality measurement standard exclusive to a specific data source and a specific data type; according to the method, a data quality measurement standard is obtained, and a dynamic data quality evaluation mechanism is constructed based on the data quality measurement standard, so that enterprise financial data needing to be shared are screened through two layers of mechanisms, the data quality and the data quality evaluation accuracy of enterprise financial data sharing evaluation are ensured, and the accuracy of enterprise financial data sharing evaluation is further improved; in addition, access control and encryption operation are performed on the data, so that the security and privacy of the data are further improved.

The embodiment of the invention provides an enterprise carbon credit report generation method and system, electronic equipment and a storage medium, and belongs to the field of green finance of carbon emission reduction. The method comprises the steps of obtaining enterprise data and performing preprocessing to obtain target enterprise data, and performing target enterprise data verification by using a LightGBM algorithm; evaluating the energy efficiency level of the enterprise by adopting a comparative analysis method, and performing weighted calculation according to the energy efficiency level of the enterprise and the revenue condition to determine the carbon credit rating of the enterprise; carrying out comprehensive evaluation score identification and energy efficiency grade identification on the enterprise based on the data; and generating an enterprise carbon credit report based on the enterprise basic information, the enterprise rating, the enterprise identifier, the enterprise credit information and the carbon reduction path. A LightGBM algorithm is adopted for comprehensive comparison and cross validation of data quality, enterprise data and platform data are subjected to comprehensive comparison and verification, and the system is in butt joint with a public credit information platform to query a dishonesty record of an enterprise, so that the public trust of an enterprise carbon credit report is ensured.

The invention belongs to the technical field of artificial intelligence, and relates to an artificial intelligence-based data retrieval method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining a retrieval text corresponding to a target video; performing text preprocessing on the retrieval text to obtain a text embedding representation; performing image feature extraction on the target video to obtain image features; calling a cross attention layer in a stacked pointer network to perform cross attention processing on the text embedded representation and the image features to obtain feature representations of multiple frames; performing prediction processing on the feature representations of the plurality of frames to obtain a fragment initial position, and determining a fragment initial interval based on the fragment initial position; performing offset prediction processing on the fragment starting interval based on the text embedding representation to obtain a prediction result; and generating a target fragment position corresponding to the retrieval text based on the prediction result. In addition, the target fragment location may be stored in a blockchain. According to the invention, the processing efficiency and accuracy of video data retrieval are improved based on the use of the stacked pointer network.

The invention discloses a data retention method and device, a storage control chip and a storage medium. The method comprises the following steps: scanning the Flash, and reading the error bit number of each page in the Flash; screening out unstable pages according to the error bit digits; adjusting the threshold voltage of the unstable page according to a preset adjustment method so as to change the error bit number of the unstable page, and generating a rereading voltmeter according to a change result; a re-read voltmeter is stored. According to the method, unstable pages are screened out in advance, threshold voltages of the unstable pages are adjusted, error bits of the unstable pages can be changed due to adjustment of the threshold voltages, a rereading voltmeter is generated according to a change result, and due to the fact that the rereading voltmeter records the threshold voltages for adjusting the unstable pages into stable pages, the error bits of the unstable pages can be changed. Therefore, the data accuracy of the Flash can be kept.

The present application discloses a multi-source data preprocessing method and system for aerospace discrete manufacturing platform, which relates to the field of aerospace discrete manufacturing data preprocessing technology. The method includes: adapting and processing input multi-source heterogeneous data through at least one dynamically configured adapter component to unify and standardize the data format to obtain adapted data; transmitting the adapted data to a distributed cleaning engine, which performs error detection, pattern recognition and logical consistency correction on the adapted data set to obtain a cleaned data set; calculating the data quality index of the cleaned data set through a quality assessment module; dynamically adjusting the cleaning rules based on the data quality index; providing data traceability and correction guidance according to the needs and feedback of upper-level applications through a preset quality feedback control mechanism, and continuously optimizing data quality. The present application can effectively improve the extensibility, dynamic flexibility and inheritance reusability of the cleaning rules of the database system.

The utility model discloses a kind of polyurethane board waterproof detection devices, it is related to plate waterproof detection technical field, including water tank, wind box and bearing table, the inside rotation of wind box is connected with fan, the bottom of water tank is fixedly connected with support plate, the upper surface of support plate is fixedly installed with positioning frame, the inside of positioning frame is slidably connected in one end of bearing table, wind box is fixedly installed in one side of water tank support, wind box is between water tank and bearing table, the utility model is set up wind box to be evenly blown to moisture on polyurethane board, when actual use, the rotation of fan can fully agitate moisture, to ensure that the moisture sprayed will be in a wide range of fog shape and polyurethane board contact, solve the problem that water flow is unevenly distributed on the surface of plate, to ensure the data accuracy of detection result, bearing plate is set simultaneously to determine the position of plate, the stability of plate can be guaranteed in the process of detection.

This invention discloses a condition monitoring and control system for a permanent magnet motor driven by an oil drilling rig, relating to the field of permanent magnet motor condition monitoring technology. It includes a data acquisition and construction module, a data preprocessing and feature extraction module, a dynamic monitoring and trend analysis module, a deep learning evaluation module, and a fuzzy control and real-time compensation module. The data acquisition and construction module first acquires real-time operating data of the inverter during operation through data acquisition equipment. The acquired real-time data is stored in a time-series format, and a dataset is established to provide complete and accurate basic data for subsequent analysis and model evaluation. This invention improves the stability, reliability, and energy efficiency of the permanent magnet motor driven by the oil drilling rig through real-time data acquisition, deep learning evaluation, fuzzy control optimization, and error compensation, adaptively adjusting the dead time, reducing short-circuit risk, energy loss, and harmonic damage, optimizing system performance, and improving operating efficiency.

The present invention relates to a noise reduction method for a medium voltage uninterruptible power supply device, belonging to the technical field of noise reduction. The specific steps of the noise reduction method are as follows: (1) installing monitoring equipment and detecting synchronization rate; (2) collecting information of each group of uninterruptible power supply devices and classifying them; (3) collecting noise data of each group of devices for analysis; (4) providing noise reduction feedback for each group of devices. The present invention can provide supplementary feedback for missing data by constructing a classification storage repository to ensure the integrity of data collection, and at the same time construct a retrieval data set to improve the data retrieval efficiency of staff, and can perform redundant screening of noise data generated by each group of uninterruptible power supply devices, thereby improving the accuracy of collected noise data, ensuring the accuracy of the noise decibel data of each group of uninterruptible power supply devices fed back, and facilitating staff to view and analyze.

The invention relates to a system for monitoring the position of a dairy cow in a milking machine. The method comprises the following steps: acquiring image data of any dairy cow channel; determining a target dairy cow entering the dairy cow channel according to the image data of any dairy cow channel; acquiring a mark on the body of the target dairy cow; after the target dairy cows enter the critical positions of the milking positions of the milking machine in sequence, identity tags of the targets are obtained according to the sequence; after it is determined that the current milking position of the milking machine completely enters the target according to the sequence, the identity tag of the target dairy cow is consistent with the position tag entering the milking position, and information of the target dairy cow at the milking position is determined; after the critical position of the milking position is determined to enter the target dairy cows in parallel or in advance, the identity tag of each target dairy cow is obtained at the same time; after it is determined that the current milking position completely enters the target dairy cow in advance, the identity label of the target dairy cow is inconsistent with the position label entering the current milking position, and the target dairy cow at the current milking position is updated to be the target dairy cow entering in advance.

The application discloses a document outline generation method, system, terminal and medium, and the method comprises the following steps: processing an original document to obtain all original natural paragraphs, table sets and document keywords, and constructing a structured hierarchical relationship between the original natural paragraphs; determining a target natural paragraph set based on a target document name and the document keywords; obtaining a target descriptive paragraph according to the structured hierarchical relationship between the target natural paragraph set and the original natural paragraphs; and generating a target document outline according to the target natural paragraph set, the target descriptive paragraph corresponding to the target natural paragraph, and the target document name. The application solves the problem of the fragmentation of natural paragraphs, tables and picture data in the original document, is beneficial to the construction of a modular material library with traceable context, realizes accurate positioning of a context logic chain through the association between the target document name and the target natural paragraph set, and provides a basis for the logical specification and data accuracy of the document outline generation.

The invention belongs to the field of artificial intelligence and the field of digital medical treatment, and relates to an artificial intelligence-based verbal skill generation method, which comprises the following steps of: obtaining a speaking content sent by a client, and performing information identification on the speaking content based on an identification rule to obtain key information; chronic disease type information of the customer is acquired; processing the key information and the chronic disease type information based on a data analysis model to obtain an analysis result; extracting target information related to the chronic disease type from the analysis result; generating suggestion information based on the target information; obtaining a target verbal skill template corresponding to the chronic disease type information; and filling the target verbal skill template based on the analysis result, the target information and the suggestion information to obtain a target verbal skill. The invention further provides a verbal skill generation device based on artificial intelligence, computer equipment and a storage medium. In addition, the invention also relates to a block chain technology, and the target verbal skill can be stored in a block chain. The generation efficiency of the target verbal skill is improved, and the data accuracy of the target verbal skill is ensured.

The invention belongs to the technical field of data processing, and relates to a data updating method, which is applied to the fields of finance and science and technology, and comprises the following steps: judging whether an information change event occurs in a target data table; if yes, obtaining a change field in the target data table; matching the change field with a preset user information list, and judging whether a specified information type corresponding to the change field exists in the user information list or not; if yes, obtaining a preset original privacy protocol; generating update information corresponding to the original privacy protocol based on the change field; and updating the original privacy protocol based on the update information to obtain a corresponding target privacy protocol. The invention further provides a data updating device, computer equipment and a storage medium. In addition, the invention also relates to a block chain technology, and the target privacy protocol can be stored in a block chain. According to the method and the device, the processing efficiency and the processing intelligence of updating the privacy protocol are improved.