4results about How to "Accurately indicated" patented technology

The present invention proposes using high-fidelity digital simulation of waves guided through the production column, together with monitored learning methods, in a totally automated and data-guided approach, to detect the quality of the oil well lining cement through the production tubing. For this purpose, a series of simulations are used in the most usual conditions of cement quality failure to perform predictive modelling based on machine learning. The thus created model can interpret the complex patterns generated from this physical phenomenon, adding value to assist decision-makers in the task of interpreting acoustic profiling data. The final objective is to isolate and identify cement defects in wells, using acoustic waves guided through the production column, which generate signals of difficult interpretation when compared with the cases of simple linings which require, however, highly qualified professional training to carry out a very demanding and error-prone task.

An information processing apparatus (50) capable of calculating an appropriate route for a vessel (1) including a wind power propulsion unit (10, 10A, 10B, 10C, 10D) configured to propel a hull (11) by wind power, and a vessel (1) is provided. An information acquisition unit (51) acquires area information that is created based on the operation information acquired in each area by another vessel (1B) and includes information relating to at least one of weather and hydrographic condition in the area. Since the area information is information based on an actual operation information of another vessel (1B), the area information more accurately indicates a state of the weather and hydrographic condition in each area than the weather / hydrographic condition forecast. Therefore, a route calculation unit (52) can calculate a route suitable for propulsion by wind power in consideration of the accurate state of weather and hydrographic condition for an area covering a wide range. From the above, it is possible to calculate an appropriate route for the vessel (1) including the wind power propulsion unit (10) configured to propel the hull (11) by wind power.

The present invention relates to the field of low-voltage electric appliances, in particular to a thermal disconnection and indication mechanism which is applied to a surge protection device. The thermal disconnection and indication mechanism includes: a support frame, an indication element and a push rod which are slidably disposed on the support frame respectively, a conductive sheet which is fixedly disposed on the push rod and acts synchronously with the push rod, a push rod driving member, and an indication element driving member; the conductive sheet is fixed to a second electrode of a protection element of the surge protection device by means of welding; and the indication element includes an indication portion and an indication element fitting portion which are connected in a bending manner. When the indication element is located at a first position, the indication element fitting portion is in limiting fit with the push rod. After the conductive sheet and the second electrode are disengaged from each other, the push rod driving member drives the push rod to slide to release the limiting fit from the indication element fitting portion. The indication element driving member drives the indication element to slide to a second position. The thermal disconnection and indication mechanism is simple in structure, compact in layout and reliable in action. The present invention further relates to a small-sized surge protection device including the thermal disconnection and indication mechanism.

The present disclosure provides a communication method and apparatus. The method includes: obtaining N pieces of training data, where for one of the N pieces of training data, the training data corresponds to one piece of mark information, and the mark information indicates an attribute of the training data; and sending indication information to a terminal device, where the indication information indicates information about M artificial intelligence models, the artificial intelligence model is trained based on X pieces of training data in the N pieces of training data, and the X pieces of training data are determined based on the mark information. According to the foregoing method, when the N pieces of training data are obtained, the N pieces of training data may be used for constructing training data corresponding to different mark information, to train the M artificial intelligence models or more artificial intelligence models. When the artificial intelligence model is trained, training data for training one artificial intelligence model meets mark information corresponding to the artificial intelligence model, so that scenario-based artificial intelligence model training can be implemented.