9results about How to "Guaranteed error" patented technology

The invention relates to the field of microbiological examination laboratory equipment, and discloses a drying and disinfecting device and method for a specimen glass slide for microbiological examination. The device comprises a machine shell, a motor and a controller, the detachable rotating shaft is in transmission connection with the driving motor; the support frame is detachably arranged on the detachable rotating shaft and forms a plurality of mounting surfaces; the glass slide mounting plate is detachably mounted on the mounting surface, and a plurality of glass slide mounting stations are arranged on the glass slide mounting plate; the drying module comprises a drying lamp; the disinfection module comprises an ultraviolet disinfection lamp; and the control module is electrically connected with the driving motor, the drying module and the disinfection module and is used for executing a drying program and a disinfection program. The problems that in an existing glass slide processing method, the drying capacity and uniformity are difficult to consider at the same time, the drying process is uncontrollable, and low efficiency and safety risks are caused by separation of the drying process and the disinfection process are effectively solved.

The application relates to the technical field of mechanical arm trajectory tracking control and discloses a high-order integral barrier function mechanical arm trajectory tracking control system design based on an adjustment parameter, wherein the trajectory tracking control method comprises the following steps: acquiring joint state data, and calculating joint angle tracking errors; performing normalization processing on the tracking errors based on an improved preset performance function with an adjustable constant base; substituting the normalized errors into a high-order integral barrier function with an adjustment parameter, and calculating a total barrier function value; calculating a virtual control law based on the time derivative of the barrier function value; estimating unknown external forces by using a disturbance observer; and calculating control input torques by comprehensively using the above results and outputting the control input torques to joint drives. The application realizes flexible adjustment of the convergence speed of tracking errors, reduces the control complexity, and guarantees the stability of a closed-loop system under external disturbance conditions.

The utility model belongs to the technical field of vacuum self-consuming furnaces, and discloses a centering device of a vacuum self-consuming furnace, which comprises a lower furnace body flange, a crucible flange and an upper furnace body flange, the crucible flange is connected onto the lower furnace body flange, the upper furnace body flange is connected onto the crucible flange, and the lower furnace body flange, the crucible flange and the upper furnace body flange are coaxial. The outer diameter of the lower furnace body flange is larger than that of the crucible flange and that of the upper furnace body flange, the outer diameter of the crucible flange is the same as that of the upper furnace body flange, three threaded holes are evenly formed in the end face of the lower furnace body flange at intervals, the threaded holes are formed in the lower furnace body flange in a penetrating mode, through holes are formed in the upper end faces of the guide columns in a penetrating mode, and the guide columns are in threaded connection with the threaded holes through bolts. The guide column comprises the guide column upper portion and the guide column base body, the guide column is used for guiding the crucible and the lower furnace body to be centered, the problems that the product quality is affected by furnace charging deviation, the crucible is prone to being damaged and the like can be avoided, the guide column can be rotated by an angle to be continuously used after being abraded, the service life of the guide column is prolonged, and the production cost is saved.

The invention relates to the technical field of automobile pedal testing, and discloses an intelligent networked automobile pedal testing device which comprises a shell and a base, the base is arranged at the bottom of the shell, a fixing support is fixedly connected to the surface of the shell, a groove is formed in the top of the fixing support, and a supporting rod is fixedly connected to the groove in the top of the fixing support. A pedal plate is fixedly connected to the bottom end of the supporting rod, and a sensor is fixedly connected to the upper surface of the pedal plate, so that the problem that a test result is lack of objectivity due to the influence of subjective consciousness and individual differences of testers during manual testing is avoided, and the problems of fatigue, inattention and the like in the testing process are solved; according to the invention, the test result is not accurate due to the fact that the test device needs to be manually treaded for testing, manual operation and errors are reduced, the labor cost and risks are reduced, pressure can be flexibly adjusted for testing, real use conditions can be stably simulated, and the accuracy and reliability of the test result are ensured.

The invention relates to a gluing path planning method based on an industrial robot. According to the method, a real component gluing process is taken as an example, a simulation model is established by applying three-dimensional software, a gluing path is generated by utilizing an automatic path function in the simulation software, and the gluing path is optimized by adjusting and optimizing point position poses, an axis parameter configuration method, collision monitoring and track operation simulation technical means to generate a motion track. Compared with a traditional method for generating a track path through industrial robot field teaching point programming, the path path generated after automatic path function optimization in virtual simulation software is adopted is better in fitting degree with the geometric body curved surface contour, the gluing thickness is more uniform, and the gluing quality and efficiency are higher.

The utility model discloses a detection tool for a microswitch of an electric energy meter. The detection tool comprises a driving mechanism, a guiding slide rail, a touch seat and at least two fixing seats. The fixing seat is provided with a fixing groove which is used for installing the microswitch. The guide sliding rails are located between every two adjacent fixing bases. The touch seat is slidably mounted on the guide sliding rail, and a touch bulge is arranged at the position, corresponding to the fixing groove, of the touch seat; the driving mechanism is used for driving the touch seat to reciprocate on the guide slide rail; according to the detection jig for the microswitches of the electric energy meter, the touch seat capable of reciprocating is arranged between the two adjacent fixed seats, and the touch test of at least two microswitches can be realized through the single reciprocating motion of the touch seat. According to the design, the detection efficiency is remarkably improved, the complexity of manual operation is reduced, and meanwhile, the accuracy and consistency of detection are ensured.

This invention specifically relates to a network fault detection method based on multi-boost ensemble learning, comprising: inputting network connection records into a trained fault detection model and outputting corresponding network fault prediction values; during training, firstly, a training sample set is obtained; secondly, the training sample set is input into the convolutional neural network of the fault detection model for preliminary learning, resulting in several CNN base classifiers; then, an adaptive boosting algorithm is used to focus on training samples misclassified during the training of the CNN base classifiers, and a corresponding AB model is constructed based on the CNN base classifiers; then, corresponding sub-decision groups are constructed based on the AB model, and the outputs of each sub-decision group are weighted and summed using a multi-boost algorithm to generate corresponding network fault prediction values, thereby optimizing the fault detection model. This invention is well-suited for network fault detection and can guarantee the accuracy and generalization error of network fault detection, thus improving the effectiveness of network fault detection.

The application discloses a double-end traveling wave fault location method based on wavelet transform and Teager-Kaiser energy operator (TKEO), which is applied to a 800V direct current hydrogen production line. In order to improve the accuracy of fault identification and the precision of fault location, firstly, wavelet transform is performed on a fault signal, a soft threshold is used for denoising and the signal is reconstructed; characteristic information of each wavelet decomposition layer is extracted and analyzed, and the fault type is determined according to the energy ratio of high-frequency and low-frequency decomposition layers; secondly, TKEO is used to extract the instantaneous energy spectrum after wavelet decomposition, and the sampling points of the first wave head reaching the two ends of the direct current line are accurately calibrated; finally, the double-end ranging method is used to accurately solve the fault distance.

The invention belongs to the field of intelligent manufacturing, and discloses an intelligent factory full-process automatic production system and method based on cloud collaboration, and the system comprises a physical performance sensing array, an edge calculation processing node, a cloud central scheduling server, a field production execution mechanism, and a communication network link. The sensing array collects state characteristics, and edge nodes extract performance deviation; and the cloud server constructs a dynamic scheduling model by using a neural network predictive control architecture, and dynamically adjusts the process priority according to an efficiency attenuation predicted value in combination with a minimum global cost function. According to the method, deep coupling of bottom-layer control and upper-layer scheduling is realized, hidden faults can be effectively pre-judged, errors can be compensated online, and the optimality of resource configuration and the continuity of production are ensured.