34results about How to "Effective data collection" patented technology

The invention discloses an adjacent well detection method based on the theory of interaction between wellbore and elastic wave. It includes the following steps: firstly, the orthogonal dipole sound source and receiver pointing to x and y in the instrument coordinate system x-y are placed in the exploratory well, and the excitation x and y points to the sound source to radiate elastic waves to the formation outside the well; and y-directed receivers respectively collect four-component signals (xx, xy, yx, yy); taking the angle φ relative to the instrument’s x-axis or a fixed direction as a variable, the four-component out-of-well signals are used to form a synthesis of φ-directed transmission and reception Signal XX, change the value of φ to get the angle φ when XX reaches the maximum amplitude 0 ; If the measured external signal is elastic longitudinal wave, φ 0 is the azimuth of the target well; if the signal is an elastic shear wave whose polarization direction is perpendicular to the well, then φ 0 +90° is the azimuth of the target well; for the maximum amplitude signal XX(φ 0 ) imaging to determine the distance between the target well and the exploratory well. The invention can obtain the distance and orientation information of adjacent wells near the drilling well, and provide important data for well cluster anti-collision and safe production in oilfield exploitation.

The invention relates to the technical field of information and discloses a data collection method and system for a product production line, and a server. The method comprises the steps of obtaining identifiers of a plurality of products on a production line; associating the identifier of each of the products with production line basic information corresponding to each product; and when the identifier of at least one of the products is not obtained, associating the non-obtained identifier of the at least one product with the production line basic information corresponding to the at least one product according to the obtained identifiers of the products and the production line basic information corresponding to the products. According to the method, the system and the server, the identifiers of the products on the production line can be effectively collected; for the products of which the identifiers are not obtained, the products do not need to be separated from the production line and the identifiers are accurately obtained through the products of which the identifiers are obtained; and data collection of all the products of the production line is realized, so that a large amount of time, manpower and equipment costs are reduced and the data collection efficiency of the production line is greatly improved.

The invention discloses a mobile vehicle-based data acquisition method in a smart city edge network. The method comprises: enabling sensor nodes to acquire hop counts of vehicles; evaluating the transmission overhead from the alternative cluster heads to the vehicle according to the transmission distance to the vehicle and the residual energy, and selecting the alternative cluster head with the minimum overhead as a cluster head node; according to the transmission distance from each candidate father node to the vehicle and the minimum node energy in the path, evaluating the transmission overhead from the source node to the vehicle through each candidate father node, and selecting the candidate father node with the minimum overhead as the father node of the candidate father node; for the source node with the hop count of 1 and the non-cluster head, taking the cluster head node as a father node; and enabling each sensor node to send the cached data and the received data to the father node, and finally sending the cached data and the received data to the vehicle through the cluster head. According to the method, the cluster head and the father node are selected by considering the transmission distance and the residual energy factor, so that an energy cavity phenomenon caused by premature death can be avoided, and data acquisition is effectively completed.

The invention relates to the technical field of cloud computing, in particular to a monitoring frequency dynamic adjustment method suitable for cloud computing. The method comprises the steps that monitoring frequency related parameters are set, and a stable variation coefficient is calculated through a stable variation coefficient formula after sampling; the stable variation coefficient is compared with a frequency adjustment threshold value; whether the monitoring frequency is increased or decreased or maintained is determined according to the comparison result. According to the method, the dynamic adjustment problem of the monitoring frequency of all resources of a virtual machine in cloud computing is solved; the method can be used for monitoring the virtual machine.