37results about How to "Close to life" patented technology

An advertising information issuing system combined with positioning navigation is characterized by comprising an advertising information issuing client, an advertising information server and a user terminal, wherein the advertising information issuing client realizes recording the advertising information of merchants, the advertising information server interrelates the advertising information with the geographical positions of the merchants and classifies the advertising information, and the user terminal is a movable equipment combining the positioning navigation with the issuing of the advertising information and comprises a satellite signal processing module, a navigation application module, a high-speed communication interface module, an advertising data storing module, an advertisingmatching module, an advertising preferential selection module, an advertising triggering module and an advertising information outputting module. The system has the advantages of well combining the positioning navigation with the advertising information issuing, triggering the advertising information conforming to the requirements automatically along the way according to user commands during the process of positioning navigation, and adding a new information communication channel between the merchants and the consumers.

The invention discloses a pressure distribution control dual gear pump, which belongs to a dual gear pump and aims to provide a dual gear pump which can balance loads at different stages. The pressure distribution control dual gear pump comprises two-stage gear pumps and a differential pressure adjusting device (7), wherein the two-stage gear pumps are connected in series; the differential pressure adjusting device (7) is formed by a piston (7-10) and a spring (7-1) which are positioned in a shell (7-2); a first oil port (7-3), a second oil port (7-5), a third oil port (7-7) and a fourth oil port (7-8) are formed in the shell (7-2), and two ring grooves are formed in the piston (7-10); the first oil port (7-3) and the second oil port (7-5) are respectively connected to the inlet end of the first-stage gear pump (2), a high-pressure cavity (7-6) and a fourth oil port (7-8) are respectively connected to the outlet end of the second-stage gear pump (5), and a low-pressure cavity (7-11) and the third oil port (7-7) are respectively connected to an oil way between the first-stage gear pump (2) and the second-stage gear pump (5). The dual gear pump has the advantages of stability in operation, long service life, high speed, high pressure and large flow.

The invention provides a method and a system for controlling a cooking appliance by using a bus card. The method comprises the steps: a user sends card-swiping time and card-swiping location information to a Cloud server when swiping the bus card; the Cloud server asks the user whether the cooking is confirmed; if so, the Cloud server acquires the needed time for this cooking; the Cloud server calculates required journey time; the Cloud server compares the required journey time with the needed time for this cooking and obtains the starting time of the cooking appliance; at the arrival of the starting time of the cooking appliance, the Cloud server sends a starting command to the cooking appliance through the network and enables the cooking appliance to work; the cooking appliance feeds back information to user's appointed equipment by means of the Cloud server; when the user changes his journey, the user sends a command to the Cloud server and the Cloud server sends a halt command to the cooking appliance; till the user gets on a bus and swipes his bus card, the above steps are repeated. The operation convenience and intelligence of intelligent home are improved and the control method and the control system conform more closely to users' life.

The invention relates to an intelligent control technique, and in particular relates to an intelligent air-conditioner control method and system based on a self-adaptive temperature control technique. The method provided by the invention mainly comprises the following steps that: an intelligent air-conditioner acquires environment information, facial images of users and operation records of the users, and extracts feature values; a cloud service platform processes the feature values, stores the feature values into corresponding control maps according to the user features, acquires the feature values of a current user, compares the feature values of the current user with feature values in a data bank, finds out the control map matched with the current user, and transmits the control map to the air-conditioner; and an air-conditioner control module automatically adjust the air-conditioner according to the control map. The intelligent air-conditioner control method has the beneficial effect of enabling the intelligent air-conditioner to provide individual temperature adjustment services according to the different users and different situations, so that the air-conditioner can be operated more simply and work more intelligently, and is closer to the life of people. The intelligent air-conditioner control method is particularly applicable to the intelligent air-conditioner.

The invention provides a shoe box with a transparent window. The transparent window is arranged on a box body of the shoe box. Through the transparent window, after shoes are placed in the shoe box, the shoes in the box can be recognized clearly without opening the box, so that the shoe box is more personalized in use and more convenient for shoe selecting.

The invention discloses a method for constructing a deep visual question answering system for visually impaired persons. In the training stage of the method, firstly collected pictures and corresponding question and answer texts constitute a training set; for pictures, convolutional neural networks are used to extract features of pictures ;For the question text, use the word vector technology to convert the question into a word vector list, and use it as the input of LSTM to extract the question features; finally, perform the element dot product of the picture and the question feature and then perform a classification operation to obtain the answer prediction value, which is consistent with the training The concentrated answer labels are compared to calculate the loss, and then the model is optimized with the backpropagation algorithm. In the running phase: the client obtains the photos and question texts taken by the user and uploads them to the server. The server inputs the uploaded photos and question texts into the trained model, extracts features in the same way, and outputs the corresponding classifiers. The answer prediction value is fed back to the client; the client feeds back to the user in the form of voice output.