93results about How to "Quick correction" patented technology

The invention discloses a construction site digital-to-analog conversion and collaborative management method based on a distributed computing architecture. The method comprises the following steps: S1, collecting microscopic level data of a construction site; s2, obtaining mid-level data of the construction site; s3, acquiring macroscopic hierarchical data, and constructing a multi-scale spatio-temporal data set; s4, decomposing and processing the multi-scale spatio-temporal data set by using a spatio-temporal diagram convolutional network, and constructing a dynamic digital twin model; s5, designing a competition and cooperation mechanism between agents by using a game theory model, solving resource allocation conflicts through Nash equilibrium, and dynamically optimizing resource scheduling; s6, optimizing a scheduling strategy of the intelligent agent through a distributed algorithm based on near-end strategy optimization; s7, detecting errors in digital-to-analog conversion and scheduling processes by using a belief propagation algorithm; and S8, optimizing a scheduling strategy through a distributed adaptive feedback control mechanism. According to the invention, a distributed computing architecture, space-time diagram convolution, an intelligent scheduling technology and the like are adopted, and digital-to-analog conversion and resource management of the construction site are optimized.

The invention discloses a pipe conveying device with an anti-deviation function, and relates to the technical field of pipe conveying devices. Comprising a pipe stock bin, a transportation correction assembly, a pipe clamping assembly, a support, a feeding clamping jaw, a feeding device and a loading assembly, deformation of a pipe is converted into displacement of a first transmission rod through an inner concave measuring wheel, and the first transmission rod converts the displacement into extrusion force on a first piezoelectric element through a first contact; the first piezoelectric element converts the extrusion force into recognizable electric signals, and the control system judges the deformation degree of the pipe according to the strength of the electric signals, so that the purpose of detecting the bending degree of the pipe is achieved. The control system adjusts the transportation correcting assembly to be in a straightening mode through the adjusting piece, the inwards-concave measuring wheel at the highest position is adjusted to generate the downward pressing displacement of the corresponding degree according to the deformation bending degree of the pipe, and the pipe clamping assembly is matched for rolling the bent area of the pipe in a reciprocating mode till the detected bending degree meets the production requirement. Therefore, the purpose of straightening the pipe is achieved.

The invention discloses a self-positioning rotary jig for laser welding equipment, and belongs to the technical field of welding jigs, the self-positioning rotary jig comprises a base and a welding table rotationally arranged on the base, the base is provided with a laser welding assembly, the welding table is fixedly connected with a positioning cylinder, the self-positioning rotary jig further comprises a driving disc rotationally connected in the positioning cylinder, and the driving disc is arranged on the base. A plurality of arc-shaped sliding holes are formed in the driving disc; according to the self-positioning rotating jig for the laser welding equipment, when a second motor drives a cylinder to rotate, under the supporting of a torsional spring and a baffle on the shifting plates, the multiple shifting plates synchronously rotate along with the cylinder, the multiple abutting plates abut against multiple driven plates on a rotating rod correspondingly, the multiple driven plates are driven to rotate at the same time, and then the rotating rod and a driving disc are driven to rotate; according to the welding device, the workpiece can be quickly corrected and positioned, the welding device can adapt to cylindrical workpieces of different sizes, the positioning speed of the workpiece is high, the inclined workpiece can be automatically corrected, and the welding efficiency of the workpiece can be improved.

The invention provides a communication method of multi-application communication based on a serial interface and a storage medium, the communication method is applied to a protocol stack of multi-application communication, a hardware layer of the protocol stack uses an asynchronous full-duplex serial interface, and the communication method comprises the following steps: establishing a point-to-point transmission channel between applications through the asynchronous full-duplex serial interface; a sending end sets sending numbers for data packets, the data packets are packaged into data frames through a data link layer of a protocol stack, and the data frames are sequentially sent through a transmission layer of the protocol stack according to priorities of point-to-point transmission channels of different applications in all the applications; and the receiving end receives the data frame and verifies the transmission integrity of the data packet according to the sending number. The technical problems that the design of an existing communication method in a multi-chip ECU board is complex, and communication of multiple applications in two chips through one interface cannot be achieved are solved.

The embodiment of the invention provides a course and AI partner training personalized learning method and system. The method comprises the following steps executed by a computer program: S1, providing a theoretical course of at least one field for a user; s2, after the user completes theoretical course learning, generating a personalized practice scene based on the content and learning condition of the theoretical course learned by the user; s3, in the personalized practice scene, enabling an AI large model to simulate a virtual role through role playing, and carrying out interactive dialogue practice with a user based on the virtual role; s4, enabling the AI large model to provide feedback or suggestions according to the performance of the user in the interactive dialogue practice. The embodiment of the invention aims to create a personalized learning scheme integrating course learning and AI partner training, so that a user can perform high-simulation dialogue training through AI role playing on the basis of learning related theoretical courses.

The invention belongs to the technical field of marine surveying and mapping, and discloses an airborne LiDAR sounding wave correction method and system. The method comprises the following steps: calculating wave parameters according to an Elfouhail spectrum model; using a KD-Tree accelerated K-nearest neighbor search method to determine a search neighborhood according to wave parameters so as to realize search of sea surface points in the neighborhood; and according to the efficient search result of the sea surface points in the neighborhood, constructing a multi-scale irregular TIN array sea surface model, calculating the normal vector of each beam of sea surface laser points with seabed reflection echoes, and performing ray tracing to correct wave errors to obtain accurate seabed point coordinates. According to the invention, seabed sounding errors caused by path deflection when laser enters water from air due to sea surface waves can be reduced, the sounding precision of the ALB system is improved, and powerful support is provided for ocean resource development, ocean environment protection and the like.

The invention provides an unmanned underwater vehicle trajectory tracking control system based on preset time and performance, and aims to improve trajectory tracking precision and stability in underwater operation tasks. The method comprises the following steps: establishing an unmanned underwater vehicle mathematical model; designing a preset time preset performance function, and introducing an adjustable function changing along with time to enable the boundary function to have a smooth characteristic in a convergence process; a time-varying gain auxiliary system is adopted to process an input saturation problem; designing a disturbance observer to realize rapid attenuation of disturbance, and enhancing the robustness of the system by introducing a residual adjustment function based on a smooth nonlinear model; and finally, integrating the interference observer and an auxiliary system to deduce a trajectory tracking scheme. The result shows that the longitudinal speed fluctuation is reduced by 69.2%, and the swaying speed fluctuation is reduced by 32.7%; the north position tracking performance is improved by 30.8%, the east position tracking performance is improved by 16.7%, the speed fluctuation is effectively reduced, and the tracking performance, the system stability and the anti-interference capability are improved.

The system and technology realize supply chain visualization. As an item moves in the supply chain, data about the item may be obtained, where the data includes event data that identifies a particular item at a particular location in the supply chain at a particular time. As at least a portion of the item moves in the supply chain, the data may be analyzed to generate information. A visualization of the information may be provided, and the visualization may be used to identify one or more changes to be made in at least a portion of the supply chain to improve the at least a portion of the supply chain.

The invention provides an electric quantity data restoration method and system based on a power grid operation mechanism. The method comprises the following steps: obtaining operation data of a power distribution network; based on a power grid operation mechanism, performing data checking on the operation data of the power distribution network by using a consistency checking method to obtain abnormal electric quantity data of the power distribution network; performing anomaly classification on the abnormal electric quantity data by using a rule-based classification method to obtain an anomaly type to which the abnormal electric quantity data belongs; according to the abnormal type, performing data restoration on the abnormal electric quantity data by using a pre-constructed electric quantity balance model; according to the invention, the operation data of the power distribution network is checked based on the power grid operation mechanism, so that judgment errors caused by data errors can be reduced; according to the invention, the pre-constructed electric quantity balance model is utilized to carry out data restoration on the abnormal electric quantity data after data checking, so that the abnormal electric quantity data can be corrected quickly, automatically and accurately.

The invention relates to the technical field of microphone detection, and discloses a detection device convenient for feeding, the detection device comprises a workbench, the upper surface of the workbench is provided with a screening identification assembly capable of detecting and screening microphones, and the interior of a discharging frame is provided with a restoration assembly capable of restoring the positions of the microphones to be detected. By arranging the correcting assembly, when the microphones are conveyed downwards along with the conveying belt, the microphones can deflect by a certain amplitude through sleeves due to the posture of the microphones after making contact with an arc-shaped plate and a drainage plate, and at the moment, volute spiral springs are tightened through driving of a connecting plate; furthermore, the drainage plate has a reset trend in the process of continuing to discharge the microphone so as to promote the microphone to be restored, and meanwhile, when the drainage plate deflects, due to the limitation of a shifting block and a limiting block, the rotation trend of a transmission column in a sleeve is inhibited, so that the deflection process of the drainage plate is smoother, and the accuracy of the microphone is improved. And the transportation safety of the microphone is prevented from being influenced by over-high rotating speed.

The invention discloses a short-term electricity price prediction method and system based on an MIC-TCN-Transform model, and the method comprises the steps: obtaining electricity price prediction data from different data sources, and integrating the electricity price prediction data into a unified format and structure; performing integrity, continuity, consistency and rationality check on the data, cleaning unqualified data, performing feature extraction and selection on a data set, performing normalization processing on all the data, and segmenting the data set into a training set, a verification set and a test set; the method comprises the following steps: defining a TCN model and a Transform model, and creating an MIC-TCN-Transform model; an optimizer and a loss function are configured, the MIC-TCN-Transform model is trained by using the training set, and the MIC-TCN-Transform model is evaluated by using the verification set; and the test set is inputted into the trained MIC-TCN-Transformer model, and a prediction result is obtained. Reasonable configuration and utilization of renewable energy sources can be effectively promoted, and the reliability and stability of a power system are improved.

The application discloses a lining cloth dyeing control method and system based on artificial intelligence, and is used for the control field, and the method comprises the following steps: real-time monitoring of multi-source data in the lining cloth dye vat, capturing the video stream inside the lining cloth dye vat; using a Gaussian mixture variational autoencoder model to extract features from the multi-source data, obtaining multi-source feature data; obtaining the changing moment of the fabric state in the video stream, and extracting the fabric state change feature data according to the observed fabric color change and the heterogeneity of the dye distribution in the video stream; fusion of multi-source feature data and fabric state change feature data; introducing a model predictive control layer, predicting the result to adjust the dyeing parameters in real time; establishing an intelligent feedback mechanism. The Gaussian mixture variational autoencoder model is trained and optimized through the small-batch stochastic gradient descent and back propagation algorithm, important features are learned and captured from the data.

The utility model belongs to the technical field of machining equipment, and provides a chuck correction jig which is used for correcting multi-connected chucks. The chuck correction jig comprises a base plate, the base plate is provided with a first end face and a second end face which are opposite to each other, the first end face is provided with a correction block used for measuring the levelness, the second end face is provided with a plurality of blind rivets extending outwards in parallel, and the blind rivets are used for being inserted into all chucks at the same time; and the correction block and the plurality of blind rivets are arranged on the central axis of the base plate. The utility model further provides a workpiece fixing device with the chuck correction jig. The technical problems that in the prior art, a chuck correction tool is complex in structure, multiple chucks are difficult to correct at the same time, and correction uniformity is affected are solved.

The utility model relates to the technical field of electronic equipment auxiliary equipment, and discloses a folding screen supporting piece titanium material bending correction device which comprises a correction table, a heating unit is installed on the outer wall of the correction table, a fixing frame is fixedly connected to the outer wall of the top of the correction table, and a pressing mechanism is installed on the outer wall of the fixing frame. A titanium material to be corrected is placed on the correcting table, then parameters such as heating temperature, pressure and acting time are set through the controller, the heating unit is started to heat the titanium material, after the titanium material reaches the preset temperature, the pressing mechanism is started to apply proper pressure to the titanium material, and the titanium material deforms under the combined action of heating and pressure, so that the titanium material is corrected. Therefore, the correction effect is achieved.

This invention relates to the field of pipeline seepage prevention technology, specifically to a pipeline seepage prevention deformation control support device based on soft soil foundation. The device is installed at the connection point of two adjacent pipelines. The device includes a bearing ring, a support member, and at least n sets of limiting members. Bearing rings are connected to the outer walls of both pipelines near the connection point. Each set of limiting members includes two bearing plates, arranged in an inverted V-shape with alternating front-to-back arrangements. Each bearing plate has a recessed groove containing a friction plate that slides back and forth. When the lower left side of the n bearing plates on the left side of the n sets of limiting members is far from the lower right side of the n bearing plates on the right side, the two friction plates in the same set make relative pressure contact. The support member supports the limiting members. This invention solves the problem that when a support device supports a pipeline, it easily shifts downwards with the settlement of the soft soil foundation, leading to deformation and leakage at the weak connection point of the supported pipeline.

The utility model discloses a binding and positioning tool for a prefabricated steel reinforcement framework of an integral cylindrical concrete wind tower, and relates to a binding and positioning forming tool for the prefabricated steel reinforcement framework of the integral cylindrical concrete wind tower. Comprising a base part (1), a rotatable bracket part (2), a positioning rotating shaft (5) and a positioning lock (6), a longitudinal sliding groove is formed in a horizontal channel steel bottom frame of the base part; each horizontal channel steel bottom frame is provided with a rotatable support part, the positioning rotating shafts are arranged at the corners of the rotatable support parts (2), and the two ends of each positioning rotating shaft are installed on the corresponding horizontal channel steel bottom frame; a positioning lock is arranged at the outer end of the horizontal channel steel bottom frame. The problem that after binding forming, the frame body is disassembled manually, and then the steel reinforcement framework can be hoisted and transported to the next station is solved. And the problem that quick correction and positioning cannot be carried out in the mounting process of binding and positioning forming of the prefabricated steel reinforcement framework is solved.

The present invention discloses an inflatable bag structure and construction method for correcting the displacement of an operating subway tunnel, including an inflatable bag, a central tie rod and a telescopic frame arranged around the central tie rod are arranged inside the inflatable bag, a conical cap tip fixedly connected to the central tie rod is arranged on the top, and a sealing plug is connected to the bottom, and a hole is reserved in the center of the sealing plug for the central tie rod, an inflatable pipe and a soil delivery pipe to extend into, the inflatable pipe is supplied with air by an inflating device, and the soil delivery pipe is supplied with filling soil by the soil delivery device. The method of using an inflatable bag for inflating and extruding correction can minimize the impact on the surroundings to the greatest extent, avoiding the great impact on the surrounding environment in the traditional sleeve valve pipe grouting, which may cause unnecessary deformation of other adjacent pipelines or structures. It is suitable for local tunnel displacement correction in underground spaces with dense pipelines.

The invention belongs to the field of oil and gas exploration and development, and relates to an oil drilling and workover well mouth centering and aligning device and method.The device comprises an upper flange and a lower flange, the upper flange is connected with a rotary control head, the lower flange is connected with an annular blowout preventer, a sealing device is arranged between the upper flange and the lower flange, and the upper flange and the lower flange are each sleeved with a pressing plate; the pressing plate on the upper flange and the pressing plate on the lower flange are detachably connected through a fastening device, and adjusting bolts used for adjusting the upper flange to move in the horizontal direction are arranged on the pressing plate on the upper flange and the pressing plate on the lower flange. A flange position adjusting device is designed, horizontal multi-direction free adjustment can be simply and rapidly achieved, a wellhead can be rapidly, safely and effectively corrected, and vertical centering alignment of the center of wellhead devices such as a rotary control head of the device and a crown block and a traveling block is achieved.

The invention discloses a big data distributed processing method and system for carbon emission monitoring and prediction, and relates to the technical field of carbon emission monitoring. The processing method comprises the following steps: acquiring data in real time: acquiring heterogeneous data for monitoring carbon emission from a data source by a node, performing distributed data processing: preprocessing the heterogeneous data and expressing data values in a unified form to obtain standard data, and inputting the standard data into a prediction model to obtain prediction data. Through introduction of an ordering combination method and positioning processing, the data can be combined and positioned in order, the first data is verified through verification codes, different transmission modes are used in the uploading process, the risk of data loss or errors is reduced, and the data verification efficiency is improved by comparing the verification codes in the data verification process. Errors in the data can be found and corrected in time, wrong data can be replaced, the reliability of the data is ensured, and therefore it is ensured that comprehensive and reliable carbon emission monitoring is achieved.

A method for address matching performed by an electronic device is disclosed. The method includes obtaining a first data set indicative of a first address. The method includes determining, based on the first data set, one or more first elements indicative of the first address using an entity extraction technique. The method includes obtaining a second data set based on at least one of the one or more first elements. The method includes that the second data set includes one or more second elements indicative of a second address. The method includes applying a natural language processing (NLP) technique to the first data set and the second data set to obtain one or more similarity scores. The method includes obtaining a set of weights associated with corresponding first elements of the first address.

The invention relates to the technical field of data quality control, in particular to a new energy plant station meteorological data control method and system based on EOF, and the method comprises the steps: collecting meteorological observation information of a new energy station, extracting meteorological factors, carrying out the preprocessing of the meteorological factors, obtaining a meteorological observation sequence, carrying out the abnormal data recognition of the meteorological observation sequence, and removing the abnormal data. The method comprises the following steps: acquiring a meteorological correction subsequence, correcting the meteorological correction subsequence, replacing abnormal data to generate a meteorological correction sequence, carrying out collaborative analysis on the meteorological correction sequence, and identifying and optimizing potential anomalies by adopting a collaborative analysis result, thereby effectively solving the problems that the traditional meteorological data anomaly detection is inaccurate and the correction is not timely; the meteorological data can be quickly corrected and optimized under complex working conditions, so that the data reliability is improved, and the precision and efficiency of operation management of a new energy plant station are enhanced.

The utility model relates to the technical field of installation of automobile interior trim panels, and discloses a screw stud anti-thread-slipping structure of an automobile interior trim panel, two supporting seats are integrally formed on one side of an interior trim panel body and located on the outer side of a cylinder body, and two screw stud bodies are fixedly connected to one sides of the two supporting seats respectively. Connecting holes are formed in one ends of the two screw column bodies, arc-shaped faces are arranged at the ends of the connecting holes, and positioning assemblies are arranged on the sides, located on the two screw column bodies, of the two supporting bases. According to the self-tapping screw, through the arrangement of the arc-shaped surface on the inner side of the screw column body, the self-tapping screw can be guided, meanwhile, the temperature generated during tapping is reduced, the stability of the self-tapping screw during tapping is enhanced, and the condition of screw loosening during tapping of the self-tapping screw is prevented; and through arrangement of the positioning columns, positioning during installation of the interior trimming panel body can be assisted, correction of the installation positions of the installation holes and the screw column bodies can be rapidly completed, and the assembly efficiency of the interior trimming panel body can be improved.

The invention discloses a project online collaborative management method based on a cloud platform, and relates to the technical field of collaborative management, and the method comprises the steps: setting a project department, formulating the jurisdiction content of the project department, and forming a project department chain network; obtaining project content, extracting the project content to perform data resource classification, and assigning the data resource classification of the project to a project department so as to form a current project chain network; formulating a working platform of a project chain network, which is used for carrying out data investment on the current project chain network and carrying out collaborative communication of projects so as to form a project construction group; sorting the work data of department workers of the project department to form a port management information item; and a complete current project chain network export is formed. According to the method, the tracing capability of project data is greatly improved, the corresponding responsible personnel can be quickly found, quick correction of the data is realized, and the method has relatively good project response capability.

The utility model discloses a quick-alignment vehicle tool which comprises a tool base (1), a base plate (3), a screw (4), a correction block (5) and a copper sheet (6), the deflector rod part (2) is a part needing to be machined, in the production process, a cylindrical rod of the deflector rod part (2) is placed in the open groove of the correcting block (5), then the cylindrical rod of the deflector rod part (2) is corrected by matching with the copper sheets (6) with different thicknesses according to the size difference of the cylindrical rod, then the screw (4) is tightened, the correcting block (5) and the copper sheets (6) are taken down, and the position of the cylindrical rod of the part can be machined. According to the utility model, through the clearance fit between the correction block and the tool base and the fine adjustment of the copper sheet, the cylindrical rod of the part is arranged in the open slot of the correction block, so that the function of quickly aligning the cylindrical rod is achieved.

The invention provides a step frequency radar system, a system time delay determination method and a radar ranging method. The step frequency radar system is provided with at least two PLL circuits used for generating local oscillation signals, and local oscillation frequencies configured for the PLL circuits form an arithmetic progression of which the tolerance is the step length of the local oscillation frequencies. In the process of transmitting the radar signal, the control module can gate one of the PLL circuits according to the current local oscillation frequency and configure the local oscillation frequencies of the other PLL circuits in advance, so that the local oscillation frequencies of the other PLL circuits can be adjusted in advance. And under the condition that the current local frequency needs frequency hopping, the control module can realize frequency switching by gating the other PLL circuit. Therefore, through alternate output of a plurality of PLL circuits, rapid switching of frequency points can be realized, system errors can be accurately measured, and the advantages of high frequency stability, good phase noise, less stray, low cost and the like can be taken into account.

The utility model discloses a pyroelectric sensor with a signal shielding shell, which relates to the technical field of sensors and comprises a base, a sealing sleeve is mounted at the top of the base, a lens is mounted at the top of the sealing sleeve, a shielding case is mounted on the outer wall of the sealing sleeve, and a fixing shaft is mounted on the inner wall of the shielding case. According to the utility model, through the arrangement of the sealing sleeve, the shielding case, the fixing shaft and the fixing sleeve, the shielding case is sleeved with the sealing sleeve, then the fixing shaft penetrates through the shielding case and the interior of the base and is fixed with the fixing sleeve in a threaded manner, and the arrangement of the shielding case can isolate sensitive elements and circuits in the sensor from external electromagnetic interference. When an external electromagnetic wave encounters the shielding case, an induced current is generated on the metal surface, so that the energy of the electromagnetic wave is consumed, the possibility that the electromagnetic wave enters the sensor is greatly reduced, the sensor can accurately detect a target thermal signal, and the anti-interference capability of the sensor is improved.

The application relates to a concrete precast pile construction method and system based on a MEMS tilt sensor, an electronic device and a storage medium. The method comprises the following steps: collecting original pile body inclination angle data in real time, suppressing multi-source noise of the original pile body inclination angle data, and outputting real pile body inclination data; removing abnormal features in the real pile body inclination data, and outputting effective pile body inclination data; optimizing the effective pile body inclination data, and generating normalized pile body inclination data; compensating the normalized pile body data, and outputting actual pile body inclination angle data; calling a calibration mechanism to analyze the actual pile body inclination angle data, and outputting an actual pile body inclination posture; and calculating the actual pile body inclination posture to obtain a pile body construction adjustment angle. The application can collect the inclination angle of the concrete precast pile in real time, and then timely adjust the direction of a pile hammer device, so that the concrete precast pile can be accurately guided into a pile position.

The invention relates to the crossing field of artificial intelligence and industrial process control, and discloses a desulfurization pH value and slurry supply amount neural network coupling control method. The method comprises the following steps: synchronously collecting original pH values, flue gas parameters and slurry physical property data from multiple sources; constructing a dynamic compensation model based on the slurry temperature, the density and the historical drift trend, and generating a compensated pH estimation value; inputting the estimated value and the smoke parameters into a pre-trained neural network model, and outputting a target slurry supply flow; and the outlet sulfur dioxide concentration is used as a feedback signal, and a slurry supply instruction is finely adjusted on line to form closed-loop control. And three redundant pH electrodes, a self-adaptive neural network controller and a multiple fault-tolerant strategy are adopted, so that the control precision and robustness are remarkably improved.

This application relates to a solder strip straightening device and welding equipment thereof. The solder strip straightening device includes a driving component; a transmission mechanism connected to the driving component; and a straightening mechanism connected to the transmission mechanism. The straightening mechanism is provided with a straightening channel configured to accommodate the solder strip. The driving component drives the straightening mechanism to rotate via the transmission mechanism, thereby causing the solder strip within the straightening channel to rotate. The solder strip straightening device features a straightening mechanism with a straightening channel that can accommodate the solder strip. When the driving component drives the straightening mechanism to rotate via the transmission mechanism, the solder strip within the straightening channel rotates accordingly, and the originally sideways solder strip is restored to its correct position under the constraint and guidance of the straightening channel. This process can straighten the solder strip in real time and quickly, avoiding the adverse effects of sideways solder strip on subsequent lamination processes, thus significantly reducing the probability of defects such as cracking during lamination and improving product yield and quality stability.

The invention discloses a pregnancy individualized medication dosage prediction factor screening method, a prediction model construction method and a prediction system, and relates to the technical field of medicine. Factors which are obviously related to blood concentration and have no obvious multicollinearity among variables are screened out from factors influencing pregnancy drug dosage to serve as drug dosage prediction factors, and a corresponding prediction model and system are constructed. According to the screening method, the prediction model construction method and the prediction system provided by the invention, auxiliary decision making can be provided for individualized drug dosage during pregnancy.