8results about How to "Reduce data collection" patented technology

The invention provides a drought monitoring method and system based on ground feature detection, and relates to the technical field of ground feature detection, and the method comprises the steps: calling geological distribution data of a target monitoring region, carrying out the preliminary division, and obtaining a plurality of initial divided grid regions; performing sensor layout to obtain a plurality of sensor layout arrays; connecting a satellite remote sensing platform to a preset detection window to obtain a plurality of remote sensing images; collecting ground feature data to obtain a plurality of ground feature data sets; secondary similar aggregation is carried out, and a plurality of aggregation division grid region sets are determined; and determining a plurality of first monitoring bandwidths and a plurality of second monitoring bandwidths, and constructing a plurality of first monitoring channels and a plurality of second monitoring channels of the drought monitor for drought monitoring. The technical problems that a drought monitoring method in the prior art generally depends on a static monitoring strategy, and the monitoring strategy cannot be automatically adjusted according to the real-time state of drought change, so that the monitoring efficiency is low, and the accuracy is poor are solved.

The invention belongs to the field of fault detection, and discloses a motor bearing fault real-time detection method based on adaptive data acquisition. The method comprises the following steps: determining mounting positions of a vibration sensor and a rotating speed sensor, and setting detection parameters; acquiring N groups of periodic synchronous single-point sampling data Y; standard deviations of N groups of periodic synchronous single-point sampling data in the data Y are calculated respectively; whether a fault is generated or not is judged; and adaptive data acquisition is realized. According to the invention, through adaptive data acquisition, under the condition that the fault detection reliability is ensured, the data acquisition amount is reduced, and the data acquisition, data transmission and data processing costs are reduced.

The invention relates to a method and system for obtaining analysis data in a semi-physical simulation process, the method is applied to a simulation computer end, and the method comprises the steps that when simulation starts, recording configuration issued by a data analysis computer is received, and the recording configuration comprises a sampling recording period, a segmented recording condition, a to-be-recorded signal set and a data recording layout; based on the to-be-recorded signal set, establishing a corresponding relationship between the record description information and the field offset and the corresponding relationship between the record signal identifier and the field length; and creating an initial segmented data recording file and writing segment header information. Segmental recording conditions are judged step by step in simulation operation, and if not, the to-be-recorded signals are read from the model according to a sampling recording period and packaged into fixed-length records according to layout, and the fixed-length records are additionally written; and when the segmentation condition is met, ending the current segmentation, generating a completion identifier, creating a new segmented file, switching and writing, and circulating until the simulation is finished.

The invention discloses a safety control system for an FLNG (floating liquefied natural gas) ship, which adopts a distributed structure and comprises a central control room, a central engineering room, an instrument equipment room and an instrument stand room. The system integrates data acquisition, a process control system, a safety instrument system, an alarm management system, an information management system and historical data storage and retrieval functions. Through the emergency shutdown system and the fire and gas detection system, the system can quickly respond to equipment faults, fire or gas leakage, and accident expansion is prevented. The alarm management system classifies and optimizes alarm information, and helps an operator to quickly position and process key problems. The system has the advantages of high real-time performance, high safety, good reliability, high environmental adaptability and the like, the safety guarantee capability and the operation efficiency of the FLNG ship can be remarkably improved, and the system is suitable for a complex offshore operation environment. Through modular design, the system has good expansibility and adaptability, and an innovative solution is provided for safety management of the marine natural gas industry.

This invention discloses an automated design method, device, computer equipment, and medium for corner bracing and anti-bracing structures within foundation pits, relating to the fields of smart structures and intelligent structural design. The method includes: constructing images for each stage of a three-stage design process for corner bracing and anti-bracing structures based on design images of these structures; semantically processing key structural information in each stage image to obtain semantically encoded images corresponding to each stage; decomposing the semantically encoded images of each stage into multiple single-bracing structure design images, and then combining and stitching these multiple single-bracing structure design images into a multi-bracing structure design image; and building a generative adversarial network (GAN) model, training the GAN model based on each single-bracing structure design image and each multi-bracing structure design image. This invention provides a fast, efficient, and highly visualized automated design scheme for corner bracing and anti-bracing structures within foundation pits.

The invention relates to an industrial process fault diagnosis method based on field generalization, and is applied to fault diagnosis of an unknown field in an industrial scene. Comprising the steps of collecting known domain data, training a generative adversarial network to obtain a pre-training discriminator, constructing a multi-discriminator generative adversarial network, generating data with generalization characteristics by using the multi-discriminator generative adversarial network, and constructing and training a fault diagnosis model by using the generated generalization data and the known domain data. And performing online diagnosis on the new field industrial process by using the fault diagnosis model. The industrial process fault diagnosis method based on field generalization is mainly used for realizing field generalization of fault diagnosis through combination of a generative adversarial network and a supervised fault diagnosis model under the condition of lack of prior knowledge and data for an unknown field in an industrial scene. The successful application of the method is expected to improve the accuracy of fault diagnosis, reduce the maintenance cost and bring substantive benefits to the industrial field.

The application discloses a kind of natural reserve adaptive monitoring system and method based on sky-ground cooperation, the system includes: service end, for obtaining current satellite remote sensing data that satellite is collected to be monitored natural reserve;According to current satellite remote sensing data, determine whether there is abnormal area in the natural reserve to be monitored;If yes, determine the target unmanned aerial vehicle closest to the abnormal area, target ground mobile device;Generate coordination instruction and send to target unmanned aerial vehicle, target ground mobile device;Target unmanned aerial vehicle, target ground mobile device are used to go to abnormal area based on coordination instruction, to obtain the detailed information of close range of abnormal area, send to service end;Service end is also used to determine whether to give early warning to abnormal area according to the detailed information of close range;If yes, generate the early warning information of abnormal area and send to client end.Therefore, by using the application, the data processing pressure of service end can be reduced, the computing resources are saved, and the monitoring efficiency is improved.

The embodiment of the present application provides a method for detecting abnormalities in a computer room, a terminal device, and a storage medium. The method includes: converting a vibration signal into a spectrum signal and converting infrared image data into optical flow field image data; respectively calculating a first correlation coefficient between a business operation and a vibration signal, and a second correlation coefficient between a business operation and infrared image data; loading an abnormality detection network; inputting the vibration signal and the spectrum signal into a first backbone structure to extract target vibration features; inputting infrared image data and optical flow field image data into a second backbone structure to extract target image features; splicing the first correlation coefficient, the second correlation coefficient, the target vibration feature, and the target image feature into a target operation feature; inputting the target operation feature into a detection head structure to detect a target detection frame that characterizes the abnormal operation of a device group; and performing an alarm operation on the device group according to the target detection frame. Provide diversified monitoring for container clusters.