34results about How to "Implement auto-correction" patented technology

The invention relates to a method and system for automatically calibrating a rainfall sensor of a vehicle based on a vehicular networking communication technology as well as a vehicle. The method comprises the steps of firstly sharing data of the rainfall sensor by virtue of the vehicular networking communication technology and then performing fusion calculation on the data of the rainfall sensorof the vehicle and data of rainfall sensors of vehicles around to obtain an optimal value, so that normal execution of functions of the rainfall sensor of the vehicle is guaranteed and the functions still can be normally realized even if the sensor is in fault. The system comprises the rainfall sensor of the vehicle, a data sharing module, a data screening calculation module, a data fitting moduleand a control and execution module. The method provided by the invention obtains multiple groups of optimal values by performing the fusion calculation on data of multiple rainfall sensors and then performs fitting operation, so that operation parameters of the rainfall sensor of the vehicle are calibrated, an error of the rainfall sensor of the vehicle is reduced and the probability of occurrence of misinformation and failure in report is effectively reduced.

The invention provides a distribution network device status indicator weight analysis method based on conjoint analysis. The method includes the steps: 1, survey cards for a distribution network device status indicator are determined by an orthogonal test; 2, the survey cards are scored; 3, uniformity of scoring data is checked; 4, the scoring data with uniformity is fitted by a least square method, validity of the scoring data is checked so as to obtain distribution network device status indicator weight. Compared with the prior art, the method has the advantages that fewer survey cards are used without affecting implementation effect of the conjoint analysis, and the data of the survey cards are subjected to uniformity checking and adjustment.

The invention discloses precision shaft butt joint equipment. The precision shaft butt joint equipment comprises an aligning portion sleeving a first shaft, a detecting portion and a correcting portion, wherein the detecting portion and the correcting portion sleeve a second shaft. The aligning portion, the detecting portion and the correcting portion are coaxially distributed and fixedly connected, sensing devices for acquiring surface radian information of the first shaft and the second shaft correspondingly are mounted on the aligning portion and the detecting portion correspondingly, the sensing device on the detecting portion acquires at least two sets of radian information at different positions of the surface of the second shaft in order to determine radial and axial deviations of the first shaft and the second shaft, and a force applying device for beating the surface of the second shaft to correct the deviations is arranged on the correcting portion. The precision shaft butt joint method includes the steps that the aligning portion and the detecting portion are used for acquiring the deviations between the two shafts, the correcting portion is used for correcting the deviations, and precision shaft butt joint between the first shaft and the second shaft is achieved. A double-section detection method is adopted, the axial and radial deviations between the two shafts tobe subjected to butt joint can be directly acquired, and then two-way precision butt joint between the two shafts is directly achieved.

The invention provides an automatic cutting bed cutter deformation detection device. According to the device, the cutter deformation caused by cutting cloth in the rotation process of the cutter is detected in real time through a displacement sensor, and the detected analog voltage signal is subjected to digital transformation. Under the control of a program in a micro controller, firstly the cutter deformation is analyzed and judged, then a servo motor is controlled and the cutter is driven to carry out rotation compensation to the opposite direction of deformation, and the automatic correction of the cutter cutting direction is realized. The fact that the cutting error caused by the cutter deformation is always controlled in an allowable range is ensured, and the cutting quality and precision are raised.

The invention discloses a phase self-correcting circuit. The phase self-correcting circuit comprises a trigger signal operation module and a signal phase correcting module, the trigger signal operation module and the signal phase correction module are both composed of a plurality of discrete components. The trigger signal operation module is used for performing logical operation on the input phasestandard reference signal and the actual transmission signal to obtain a target trigger signal of the trigger signal phase correction module; the signal phase correction module is used for outputtinga self-correction transmission signal with the same waveform as the phase standard reference signal based on the trigger mode of the target trigger signal and the actual transmission signal; the phase self-correction of the actual transmission signal is realized, so that the change of the signal phase caused by various external reasons is automatically corrected, the time sequence requirement ina long-distance transmission scene is met, and the whole circuit is simple in structure, high in universality and low in manufacturing cost.

The invention provides a text error correction method and a model training method and device thereof, and relates to the technical field of character recognition, and the model training method comprises the steps: obtaining a sample text containing keywords according to the preset keywords; formatting the sample text; inputting the sample text subjected to formatting operation into a preset initial neural network model for training; and when an output result in the preset initial neural network model meets a preset expected threshold, obtaining a model for text keyword extraction. A text to berecognized is input into a text keyword extraction model which is trained in advance, a text keyword extraction result is output, and the text keyword extraction result is compared with a preset standard file for error correction. The text keyword extraction model is obtained by training the neural network model, so that automatic extraction and automatic correction of the text keywords are realized, the manual operation process is reduced, and reduction of writing errors in the text is facilitated.

One or more embodiments of the invention provide a self-adaptive answer sheet sequence correction method. The self-adaptive answer sheet sequence correction method comprises the steps of obtaining anA-side scanning image, a B-side scanning image and an original image sequence of student answer sheets; respectively segmenting the A-side scanning image and the B-side scanning image to obtain an A-side image block and a B-side image block containing student handwriting; inputting the A-side image block and the B-side image block into a pre-trained handwriting matching model to obtain a matchingresult of an A-side scanning image and a B-side scanning image which are adjacent to each other under an original image sequence; and inputting the A-side scanning image and the B-side scanning imagewhich are not successfully matched in the matching result into a pre-trained handwriting search model, and searching the B-side scanning image matched with each A-side scanning image for each A-side scanning image, thereby realizing automatic correction of the answer sheet sequence.

The invention discloses an online detecting system for laser impact processing based on workpiece vibrating frequency. The online detecting system comprises a delay system, a control and vibration sensing system, wherein the delay system comprises an optical trigger and a delay; the optical trigger generates a pulse signal and sends the generated pulse signal to the delay; the pulse signal of the optical trigger is used as a trigger pulse signal of the vibration sensor for controlling a time quantum of the vibration sensor; the control and vibration sensing system comprises the vibration sensor, a computer, an automatic controller and a laser unit; the vibration sensor is used for acquiring a target material vibration signal; by virtue of A/D conversion, a digital signal is transmitted to the computer; and the digital signal is compared with vibration frequency during normal impact in a database to judge, and the signal is transmitted to the automatic controller to regulate power of the laser unit. The online detecting and correcting system can realize online detection and automatic correction for laser impact, so that impact speed is increased and impact efficiency is improved; and the online detecting and correcting system is low in requirement on an external environment, low in cost, stable and reliable.

The invention discloses a method of automatically judging the azimuth angle of a burning base based on CCD vision, which includes the following steps: making a standard position template on the uppercomputer software Labview based on the information acquired by CCD; comparing the position information obtained through a second examination of it by CCD against the template, calculating the horizontal, vertical and angular offsets, and converting the pixel units into the unit of mm; Communicating with the host computer software Labview through programming PLC, obtaining information, and then carrying out in PLC an automatic correction of the coordinates of the seat through a series of algorithms. The invention calculates the horizontal, vertical and angular offsets by comparing the positioninformation collected by CCD against the template, obtains the offset information, and then realizes the automatic correction of the coordinates of the burning seat through a series of algorithms in PLC. The method is more accurate in calibrating coordinates and reduces the errors caused by manual naked eye alignment. Besides, it is easy to operate and improves the work efficiency.

The invention discloses an outdoor work monitoring and management method based on multi-coordinate triaxial positioning algorithm. The method comprises the steps that after a task is received, position coordinates of a task place are obtained, operation vehicles are distributed according to the position coordinates of the task place and the distance between a task-free operation vehicle and the task place, the distributed operation vehicles are distributed for working staff, and the position distance, the workload, the working time and the working mileage of the distributed operation vehiclesare recorded; and after the vehicle enters the operation state, real-time coordinates of the operation vehicle and the operation personnel on the vehicle are obtained in real time in the operation period, the operation vehicle and the operation personnel are positioned through a multi-coordinate three-axis positioning algorithm, and when the coordinates of the operation vehicle and/or the operation personnel deviate, an alarm is given. According to the invention, the operator can be compared with the operation vehicle and the operation site coordinates, the operator and the vehicle in a limited range can be positioned, and the monitoring of the operator and the operation vehicle can be realized.

The pipeline detection robot comprises a machine body assembly, a driving assembly, a wheel assembly, a detection assembly and a power source, the driving assembly and the power source are connected into the machine body assembly, the driving assembly is connected with the wheel assembly, and the detection assembly is connected with the outer surface of the machine body assembly; the driving assembly and the detection assembly are connected with the power supply; the machine body assembly comprises a first shell, a second shell and buoys, the first shell is connected with the second shell in a sealed mode, the buoys are connected with the two sides of the second shell, and the buoys are located above the wheel assembly; and the side part of the first shell or/and the second shell extends outwards to form a wing. The robot has the beneficial effects that the wings and the buoy are matched to form a water baffle, interference of water spray to the detection assembly is prevented, meanwhile, swing of the robot is balanced, and the horizontal posture is kept; the whole structure is light in weight, large in buoyancy and high in strength, and pipeline detection under the conditions of high water flow velocity and full water can be met.

The invention discloses a reverse connection self-correcting circuit and electric equipment. The circuit comprises a first switch module of which the first input end and the third input end are connected with a second line of a power supply, the second input end and the second output end are connected with a first line of the power supply, and the first output end is connected with a negative terminal of a load, and which is used for controlling the first input end or the second input end to bealternatively conducted with the first output end according to polarities of the first line and the second line; a second switch module of which the first input end and the second output end are connected with the second line of the power supply, the second input end and the third input end are connected with the first line of the power supply, and the first output end is connected with the positive terminal of the load, and which is used for controlling the first input end or the second input end to be alternatively conducted with the first output end according to the polarities of the first line and the second line. According to the circuit, automatic correction after reverse connection canbe realized, and normal use of the load can be ensured all the time.

The invention discloses a GA algorithm-based shallow water multi-beam wrinkle error automatic correction method, and belongs to the technical field of multi-beam sounding post-processing. The method comprises the following steps: firstly, on the basis of keeping the linear characteristic of a conventional beam homing model, improving and perfecting the independence of the model, and considering the independence of a transmitting transducer and a receiving transducer, so that the accuracy of the sounding point position and the water depth calculation is improved; then, from the perspective of multi-beam sounding error propagation, parameterization of time delay, introducing the scale error, axial deviation and lever arm error into the improved model, and constructing an error correlation model; and finally, dynamically searching an optimal estimated value of a corresponding error parameter by using a GA algorithm by taking a seabed flat region fitting optimal plane as a constraint so as to realize automatic correction of the wrinkle error. According to the method, fine and automatic processing of multi-beam sounding dynamic errors is realized, and the problems that coupling among the errors is not taken into consideration during wrinkle error correction, and non-automation is realized are effectively solved.

The embodiment of the invention provides a differential processing method and device for blueprint data. The method comprises the steps: obtaining a target instance of the blueprint data which can comprise a plurality of types of data, carrying out the differential analysis of all types of data, generating difference data for the target instance, and according to the difference data, generating adifference file matched with the target instance. Data monitoring analysis can be conducted on various types of data of the blueprint data according to the target instance in the background to obtainthe difference data, the workload of a tester is reduced, the monitoring precision is improved, the risk of program errors is reduced, and according to the difference data, the difference file corresponding to the target instance is generated, so that the difference data can be read by a third-party tool, the expansibility of automatic monitoring is improved, a tester can perform detection throughthe monitoring tool in the background monitoring process, automatic correction and early warning are realized, and the quality of engineering development is ensured.

The invention discloses equipment for fully-automatically making spring rolls and a method for fully-automatically making the spring rolls. Spring roll wrappers (cut as required) are delivered onto abearing table through a spring roll wrapper delivering unit, and jet units are used for blowing off the spring roll wrappers placed on the bearing table from wrapper dropping holes; the spring roll wrappers always drop down from one wrapper dropping hole, so that the situation that the spring roll wrappers can accurately fall on a specified position can be guaranteed; besides, the spring roll wrappers do not need to be turned over through other mechanical structures, but are blown off through the jet units, so that the efficiency can be greatly improved, the failure rate is reduced, and the situation that the spring roll wrappers cannot be destroyed can be better guaranteed; semi-finished products of the spring rolls are made at a spring roll wrapper placing region, and the spring roll wrappers do not need to be delivered to multiple positions to be made; through a rolling device, the semi-finished products of the spring rolls are rolled to obtain finished products of the spring rolls,so that the wrapping efficiency is greatly improved; and through a pulp solidification machine, pulp solidification is performed on the spring roll wrappers, when the semi-finished products of the spring rolls are made into the finished products of the spring rolls subsequently, through adhesion of starch glue, the spring rolls cannot disperse and can be better shaped, and the quality of the shaped spring rolls can be greatly guaranteed.