7results about How to "Resolve data conflicts" patented technology

The invention discloses a melon and fruit planting water and fertilizer consumption data collection and analysis system and method, and particularly relates to the technical field of melon and fruit planting. The method comprises the following steps: acquiring readings of a plurality of sensors in real time, identifying and marking data conflicts, dynamically adjusting the credibility weight of each sensor according to the correlation and precision change of the readings of the sensors, and calculating an abnormal coefficient of water and fertilizer consumption data; the abnormal coefficient and the set gradient standard threshold value are compared and analyzed, the sensor reading is corrected, and the irrigation plan is dynamically adjusted, so that the problem of wrong decision caused by data conflicts of different sensors is effectively solved, the irrigation system is ensured to operate more accurately and stably, and the scientificity of crop growth and the resource utilization efficiency are improved.

The invention provides a trusted data exchange and shared space management system supporting multi-party cooperation. The trusted data exchange and shared space management system supporting multi-party cooperation comprises a data exchange and sharing module used for uploading, exchanging and sharing data by a plurality of users in real time and ensuring data consistency, the data exchange and sharing module realizes data consistency through a conflict detection and solution mechanism under the condition of data conflict, and the data exchange and sharing module is used for realizing data exchange and sharing; and intelligently sorting the updated contents through a priority algorithm. According to the trusted data exchange and sharing space management system supporting multi-party collaboration, through modular design, the efficiency, safety and transparency of multi-party collaboration data exchange and sharing are remarkably improved. The data exchange and sharing module solves the data conflict problem when a plurality of users operate data at the same time through a timestamp mechanism, a priority ranking mechanism and a rollback mechanism, and data consistency and accuracy are effectively guaranteed.

The invention provides a real-time logistics bill data processing method and device based on waybill detail adjustment, relates to the technical field of data processing, and solves the technical problem of low data processing accuracy of current logistics bill data. The method comprises the following steps: monitoring a change event of waybill detail data of goods in a system; if the change of the waybill detail data is detected according to the change event, extracting change information of the change of the waybill detail data; taking the bill ID field as a keyword, and querying a bill record corresponding to the keyword in logistics bill data corresponding to the goods to position a to-be-updated bill corresponding to the change event; verifying whether a bill ID field in the waybill detail data is matched with a target bill ID in the to-be-updated bill, if yes, determining that the association relationship between the waybill detail data and the to-be-updated bill is correct, and determining that the to-be-updated bill is in an editable state or a to-be-updated state; and updating bill information of the to-be-updated bill according to the change information.

The invention discloses an enterprise ESG index determination method based on data fusion, and relates to the technical field of enterprise ESG index determination and supervision. The enterprise ESG index determination method based on data fusion comprises the following steps of data acquisition, data conflict evaluation and data change analysis. According to the method, the conflict evaluation data is obtained through the obtained to-be-analyzed data set of the to-be-analyzed index, then the data conflict evaluation index obtained based on the conflict evaluation data is compared with the data conflict evaluation threshold value, the corresponding standby data is obtained, and then the contrast data set of the to-be-analyzed index is obtained; the change trend analysis index is obtained based on the standby data and the contrast data set, and finally the change trend analysis index is compared with the change trend judgment threshold to judge whether data checking is carried out or not, so that the accuracy of the enterprise ESG index determined based on data fusion is improved; the problem that in the prior art, data conflicts occur when enterprise ESG indexes are determined through multiple data sources is solved.

This invention discloses an early warning method and system for high and low voltage switchgear, belonging to the field of power system automation. The method includes: constructing a multi-dimensional sensing network to collect multi-source heterogeneous data such as temperature rise, partial discharge, mechanical characteristics, and environmental conditions in real time; preprocessing the data and aligning it with spatiotemporal features, and dynamically correcting the sensitivity threshold of the partial discharge criterion based on humidity or pressure change rate; extracting multi-dimensional fault feature vectors and dynamically assigning weights to each component according to operating conditions and environmental conditions; inputting the weighted feature vectors into a long short-term memory network integrating an attention mechanism to generate a multi-timescale predicted trajectory of the operating state; comparing the predicted trajectory with preset multi-level state thresholds in real time, and executing a three-level early warning judgment (attention, abnormal, and severe) and corresponding linkage protection strategies. This invention can reduce the risk of false alarms and missed alarms, providing reliable support for the intelligent operation and maintenance of high and low voltage switchgear.

The invention provides an effective data determination method and device for equipment data and a computer program product, and the method comprises the steps: obtaining the equipment data which comprises offline data, state data, control data and response data; the decision tree models are adopted to classify the corresponding equipment data to obtain valid data in the equipment data, the decision tree models are in one-to-one correspondence with the types of the equipment data, and the decision tree models are obtained by training the valid data and invalid data of one type of equipment data; the problem of data conflicts caused by effective judgment errors of equipment data in the prior art is solved.

This utility model relates to the field of power data transmission technology, specifically a collaborative interconnection system between an intelligent fusion terminal and data collectors. The system includes an intelligent fusion terminal, a synchronization time device, and several power collectors. The intelligent fusion terminal and the power collectors are connected via power lines. The synchronization time device is wirelessly connected to both the intelligent fusion terminal and each power collector. By transmitting the same reference time signal to all power collectors and the intelligent fusion terminal through the synchronization time device, multiple power collectors can transmit data collected at the same time in a time-sharing manner. The intelligent fusion terminal uses a zero-crossing monitoring circuit to detect the signal strength of the carrier communication in real time and automatically switches to the wireless communication module, ensuring the continuity and accuracy of data transmission.