6results about How to "Reduce the human factor" patented technology

The application belongs to the technical field of data analysis and processing, and specifically discloses a typhoon track trend change confirmation method, system, device and medium. The method obtains the sea surface pressure disturbance field, the sea surface wind field and the diagnostic field in the sea basin scale. Based on the multi-field joint determination, the typhoon track and the influence area in the climate model data are determined. Further iteration is performed to determine the typhoon track and the influence area data set. Based on the modal decomposition and by using the influence area data set and the TDF method, the typhoon trend change is determined. The method can comprehensively utilize the forecast model data wind pressure field data to jointly research and judge, effectively determine the typhoon center position and the typhoon track, and objectively and reliably determine the typhoon influence range by the sea surface pressure disturbance field, so that the influence of the artificial factor introduced by the artificial given area weight influence factor in the TDF method can be reduced. The typhoon change trend is determined by using the principal component analysis method on the objective typhoon influence range, and the operability is high.

The utility model discloses inspection tool equipment for bending a steel pipe, which comprises an inspection platform, a first inspection assembly and a second inspection assembly, and is characterized in that the first inspection assembly comprises a first guide rail which is horizontally arranged on the inspection platform in an extending manner, and a first sliding group and a first positioning block which are connected and arranged on the first guide rail in a sliding manner; the second inspection assembly comprises a second guide rail which is vertically arranged on the inspection platform in an extending manner, a second sliding group and a second positioning block, the second sliding group and the second positioning block are connected and arranged on the second guide rail in a sliding manner, and scales are respectively arranged on the first guide rail and the second guide rail. Angle and length determination can be synchronously completed, abstract angle verification is converted into visual physical fitting determination by using an orthogonal rigid structure of the horizontal slide rail and the vertical slide rail, one-button rapid detection of a bent steel pipe product is realized, human factors are reduced, detection time is greatly shortened, and working efficiency is improved.

The embodiment of the invention provides a material carrying method, device and system, which are used for receiving order demands issued by an upstream system, accurately analyzing target products and quantity, determining required materials, splitting a large batch of orders into a plurality of small batch of accurate orders, adapting to order quantity change, avoiding interruption caused by material shortage or capacity upper limit, and improving the material carrying efficiency. Stable and efficient production is ensured. According to the method, the whole process from order receiving to material carrying is automatic, labor cost is reduced, efficiency reduction and quality problems caused by human errors are reduced, and the carrying success rate and production line reliability are improved. And the carrying task number and the target point location are accurately controlled, and material overstock waste is avoided. When the order changes, the system quickly adjusts the carrying plan, improves the material utilization rate, reduces idle waste, and reduces loss and damage risks. In conclusion, manual intervention is reduced through intelligent and automatic carrying, the carrying success rate and efficiency are improved, waste is avoided, and the production efficiency and the product quality are improved.

The application provides a curve reconstruction method and device based on deep learning, equipment and medium, the method comprises the following steps: obtaining the logging curve data of the non-expanded section, and establishing a training set and a test set; a density curve reconstruction model is established and the training set is used to train the density curve reconstruction model, the density curve reconstruction model is a deep learning model; the test set is used to test the density curve reconstruction model, and a reconstructed density curve is generated, the density curve reconstruction model is adjusted until the correlation of the reconstructed density curve and the original density curve of the non-expanded section and the relative error of the density curve reconstruction model reach a preset condition; the density curve of the target well is reconstructed by using the adjusted density curve reconstruction model. The application simplifies the operation process, especially in complex formation conditions, can accurately reflect the actual situation of the formation, and improves the calculation accuracy of the reservoir parameters.

The present invention discloses a method for improving the consistency of the optical axis of a high zoom ratio continuous zoom camera, which belongs to the technical field of optoelectronic equipment. It uses a light source, a cross target, a collimator, and a four-dimensional adjustment bracket to form an optical platform system, and sets the product to be tested on the four-dimensional adjustment bracket accordingly. Then, through the generation of a virtual electric cross, the alignment of the electric cross and the cross target, the measurement of the deviation between the electric cross and the cross target during the zoom process of the tested product, the determination and calibration of the consistency of the optical axis, the determination and calibration of the consistency of the optical axis of the tested product can be realized, and the image shift compensation output when the optical axis is inconsistent can be realized. The method in the present invention is simple to operate, has a small human factor, can improve the accuracy and reliability of the use of a high zoom ratio continuous zoom camera, is suitable for the mass production process of the product, reduces the production and application costs of the high zoom ratio continuous zoom camera, and has good practical value and application prospects.

The invention discloses an automatic continuous detection device for a bridge-type concentric water distributor, which belongs to the technical field of oilfield water injection development. The invention provides an automatic continuous detection device for a bridge-type concentric water distributor, which comprises: a numerically controlled torque meter, a fixed sealing head, a pressure test working cylinder, a movable sealing head, a clamp, a hydraulic cylinder, a feeding device for a test piece, an external pressure joint, an internal pressure joint and the measuring and adjusting driving rod. A fixed sealing head is fixed at one end of the pressure test working cylinder, and one end of the measuring and adjusting driving rod is located outside the pressure test working cylinder, so that online continuous detection of the bridge-type concentric water distributor is realized. The test operation is convenient and reliable. The whole process adopts hydraulic control, which eliminates manual operation, and the data is objective and reliable. The human factor is small, the operation is simple and convenient, and the test process is stable and scientific.