4results about How to "Effective division" patented technology

The application discloses a kind of amusement equipment riding passenger carrying device anti-falling control method, applied to the lifting machine of lifting riding passenger carrying device, comprising the following steps: step one, at the front and rear ends of entrance track respectively sensor 2 and sensor 1 are set to be divided into area 1, sensor 4 and sensor 3 are set at the front and rear sides of lifting platform and divided into area 2, sensor 5 is set at the position of a certain distance between exit slide and conveying frame and divided into area 3;Step two, the signal of sensor 1 to sensor 5 is received in real time to identify the position of riding passenger carrying device, and control the lifting machine to smoothly complete the lifting and anti-falling of riding passenger carrying device.The amusement equipment riding passenger carrying device anti-falling control method of the application, by the setting of step one to step two, can effectively realize the current riding passenger carrying device state by dividing area in real time, and then realize safe lifting.

The invention provides clothes processing equipment, a control method, a storage medium and a program product, after a control device of the clothes processing equipment obtains at least one piece of washing demand information, washing parameters of a first washing task of the clothes processing equipment are adjusted according to the at least one piece of washing demand information to obtain a second washing task, due to the fact that the control device can actively adjust the washing parameters according to the washing demand information, a user of the clothes processing equipment does not need to excessively adjust the washing parameters, and the intelligent degree and the use experience of the clothes processing equipment are improved.

The invention belongs to the technical field of ecological risk identification, and particularly relates to a typical karst geology high background area ecological risk rapid identification method based on soil geochemical data, and the method comprises the following steps: S1, determining indexes affecting the biological activity of heavy metals such as Cd according to the chemical composition of secondary enriched minerals in soil; s2, determining an index critical value of soil secondary enrichment mineral formation according to the indexes screened out in S1; s3, on the basis of GB 15618-2018, establishing an ecological risk rapid identification method in combination with the index critical value determined in S2; and S4, selecting soil geochemical data of a typical karst geology high background area, and verifying the rapid ecological risk identification method. According to the method, the ecological risk of the karst geology high background area can be rapidly and effectively divided through area soil geochemical data, the accuracy degree of the method is far higher than that of a division method only according to the Soil Environment Quality Agricultural Land Soil Pollution Risk Management and Control Standard (GB 15618-2018), and the method has good market application prospects.

The application provides a method and system for dividing tumor perfusion sub-regions based on dynamic ultrasound contrast data, the method comprising obtaining pre-processed dynamic ultrasound contrast images and pixelizing, so as to obtain time-intensity curves of each pixel point of tumor tissue and average time-intensity curves of normal tissue, obtain perfusion characteristic parameter ratios of each pixel point of tumor tissue, generate perfusion sub-regions of the tumor through clustering results of clustering of all pixel points in the interval, and map information thereof back to the original image. The application maximizes the use of dynamic image data through a non-invasive diagnostic method, comprehensively captures perfusion characteristics of the tumor from the pixel level, visualizes and quantifies tumor perfusion heterogeneity, improves the readability of the dynamic contrast video, helps to explore the correlation between tumor sub-regions and benignity and malignancy and construct a diagnostic model accordingly, improves the diagnostic accuracy of breast cancer, and provides more information support for personalized treatment of patients.