38results about How to "Reduce the degree of deviation" patented technology

The invention provides a digital resiliometer which is provided with a resiliometer shell [2, 7] which is internally provided with a spring component which is provided with a pullback spring [5]; the front end of the pullback spring is arranged on a spring base [4] and the rear end thereof is connected with a spring hammer; the pullback spring is arranged at the front end of the resilliometer shell through the pullback spring; the pullback spring base and the resiliometer shell are connected with each other by a force sensor [3]. The digital resiliometer fully abandons a pointer system which is necessary for traditional resiliometer; compared with the prior art, the digital resiliometer simplifies the mechanical structure of the resiliometer, omits the point system which has most complicated mechanical structure in the resiliometer, completely eliminates the problems such as measurement precision, stability, and durability, etc. due to the pointer system, radiacally improves the measurement precision, stability, durability and service life of the digital resiliometer, effectively simplifies the production process and flows of the mechanical parts of the digital resiliometer, thus reducing the comprehensive production cost of the mechanical part of the digital resiliometer.

The invention discloses a camera, a day and night mode switching method and device thereof, equipment and a medium. The method comprises the steps: determining a color temperature value of a current imaging image if a current photographing mode is a night mode; determining the visible illuminance of the current imaging picture by using the color temperature value and the infrared light contribution rate of the picture brightness obtained based on the white balance statistical information of the current imaging picture, and determining whether to switch the current night mode to the daytime mode by using the size relationship between the visible illuminance and a first preset illuminance threshold. According to the method disclosed in the invention, in the process of determining the visiblelight illuminance in the night mode, the influence of the infrared light contribution rate obtained based on the white balance statistical information on the visible light illuminance is considered;the influence of the color temperature value of the imaging picture in the current night mode on the visible light illuminance is further considered, so that the deviation degree between the imaging picture and the actual visible light illuminance is reduced, and the problem of repeated switching of day and night modes is effectively solved.

The invention relates to an SAL 3D printing time estimation method and system based on a learning algorithm. The method comprises the steps that a graphic file is imported, and contour data information of a to-be-printed object is extracted; the execution time of each action is calculated according to the contour data information and preset printing parameter information, and the actual time of each action is acquired; the time deviation coefficient of each action is calculated according to the execution time and the actual time, and the estimated printing time of each layer is estimated according to the time deviation coefficient of each action; and a total estimated time is calculated. The time deviation coefficient conforming to the machine characteristics and the working environment isdetermined in a learning mode, and the execution time of each action is corrected, so that the printing estimation time of each layer is obtained, finally, the accurate total estimation time is obtained, learning iteration is continuously performed along with use of the machine, the accurate estimation effect is achieved. Estimation precision of the printing time is greatly improved.

The invention belongs to the technical field of terrain perception, and discloses a terrain perception method and a system thereof, a storage medium and computer equipment, a Kinect depth camera is utilized to obtain data information related to terrain parameters, and automatic identification of a road surface danger level is realized; a speedometer auxiliary method is combined with a Kalman filtering algorithm to remove laser radar motion distortion; and SLAM mapping and navigation algorithm optimization in ROS is realized. According to the method, the robot is globally positioned on the X axis and the Y axis, the distance error is smaller than 10 cm, and the angle error is smaller than 0.2 rad; the size error between the grid map and the real environment is less than 1cm; the deviation degree between the real navigation path of the robot and the algorithm estimation path is less than 10cm; the mobile robot can carry out loopback when mapping is carried out in an environment with a similar structure; and the variance of the preprocessed point cloud data collected by the laser radar is less than 0.1.

The invention discloses a marking roller of a printer that confirms feed accuracy of convey so as to further improve a recorded image quality in high picture image recording cases and reduce making fee. The marking roller of the printer provided by the invention is located in a rear end more closer to a recording paper convey direction compared with the recording print head of the printer for driving a plurality of gear-like rollers to convey the recording paper, including: a roller body formed by cylinder materials made of steel; a metal heat deposited layer formed on a surface of the roller body made of metal materials with 30 to 75 HRB hardness. The thickness of the metal heat deposited layer is 30 to 100 microns.

In a seat belt apparatus, a first projecting portion and a second projecting portion which are capable of being brought into abutment with each other so that a switch lever is shifted from a switch OFF position to a switch ON position are provided on a side of a drive gear and a side of a first gear, respectively. A third projecting portion and a fourth projecting portion, which are capable of being brought into abutment with each other so that the switch lever is shifted from the switch ON position to the switch OFF position, are provided on the side of the first gear and a side of a second gear. An abutment position between the first and second projecting portions and an abutment position between the third and fourth projecting portions differ from each other in an axial direction of a spindle.

The present invention provides a cloth sponge compounding machine, belongs to the technical field of machinery, and solves the problems that folds and turned edges are easy to produce when cloth and sponge are compounded in the prior art. The cloth sponge compounding machine comprises a frame, a cloth feeding device is arranged above the front end of the frame, a thermal compounding device is arranged at the back of the cloth feeding device, each of the two sides of the frame is provided with an anti-curling device, each anti-curling device is located between the cloth feeding device and the thermal compounding device, each anti-curling device comprises a fan I, a venting tube and an air-out component, the air-out component is in communication with the fan I through the venting tube, the air-out component is arranged at a position near the edge of a cloth feeding path on the frame, and the air-out component is provided with an air outlet facing the edge of the cloth feeding path. By use of the cloth sponge compounding machine, the edge of a compounded cloth finished product is neat and regular, and processing efficiency is high.

The invention discloses a fluidity coverage rate prediction method and device, and belongs to the technical field of big data and artificial intelligence. The method comprises the steps: obtaining the service data of each service application server system at a historical moment and the fluidity coverage rate data at the historical moment; training the first training model according to the service data at the historical moment and the liquidity coverage rate data at the historical moment; screening the liquidity coverage rate data and the service data at the corresponding moment according to a preset condition, and training a second training model according to a screening result; obtaining a fluidity coverage rate prediction value according to the first training model and the predicted service data; comparing the prediction value with a preset threshold value, and substituting the fluidity coverage rate prediction value into a second training model according to a comparison result to obtain multiple parts of service data configuration scheme data; and obtaining a service data adjustment scheme according to a comparison result of the service data configuration scheme data and the predicted service data.

The invention relates to a secondary machining forming machine for industrial sponge manufacturing. The secondary machining forming machine for industrial sponge manufacturing comprises a portal frame, a sheet pressing device, a winch device, a slicing device, a conveyer belt and a limiting device. The sheet pressing device is installed on the lower end face of the portal frame. The winch device is installed in the middle of the portal frame. The sheet pressing device is located in front of the winch device. The lower end of the winch device is provided with the slicing device. The slicing device is installed at the back end of the conveyer belt. The left side and the right side of the conveyer belt are symmetrically provided with limiting devices. The secondary machining forming machine for industrial sponge manufacturing can solve the problem that in the cutting process, edges of sponges can be upward warped, the problem that due to light weight of the sponges, the sponges are proneto deviation in cutting, and then the shape of the cut sponges deforms or the cut sponges are scrapped, and the problem that due to little friction between the sponges and the conveyer belt, when thesponges are in contact with the blades, the sponges are prone to not advancing along with the conveyer belt, and then cutting work cannot be completed.

The invention provides a cardiac-cerebral parameter calibration method and device and a storage medium. The cardiac-cerebral parameter calibration method comprises the following steps: receiving initial data; calculating an initial value according to the initial data; receiving state data; judging a state result according to the state data; and obtaining a calibration parameter according to the state result and the initial value. According to the method, firstly, through setting the initial data, an adjustment basic value can be added for measurement work to ensure that a measurement result has a relatively low deviation degree; secondly, through state judgment, the state of a measurer can be ensured when measurement data is acquired, the influence caused by the measurement state of the measurer can be eliminated, and the blood pressure measurement accuracy can be effectively improved; and thirdly, measurement data with large deviation values can be removed, measurement data in a floating range is reserved, the measurement precision is improved, and the authenticity of the data is ensured.

The invention discloses a control method for preventing strip breakage in an annealing furnace of a cold rolling treatment line. A backup protection function is added on the basis of an original deviation rectifying system. A primary control system acquires data of deviation rectifying equipment through a communication protocol. Through the control of the ramp speed limitation of the primary control system, an early warning prompt system and a tension compensation system, the ramp starting speed is limited to 60 m/min when strip steel deviates from a production center line by 50 mm, so that the deviation degree of the strip steel can be obviously reduced even if an incoming plate type is poor, and serious deviation of the strip steel in the furnace is effectively avoided. Meanwhile, stripbreakage accidents in the annealing furnace are greatly reduced, and continuous and reliable operation of the cold rolling treatment line is guaranteed.