Database fusion association system
A database and data technology, applied in the field of data processing, can solve problems such as unsatisfactory data fusion, achieve the effect of reducing storage capacity, ensuring performance and reliability, and satisfying real-time performance
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Embodiment 1
[0034] A database fusion relational system, such as figure 1 As shown, it includes several sensors, real-time database, historical database, fusion management module and filter tracking. The fusion management module includes calibration module, correlation module, identification module and estimation module, such as image 3 As shown, real-time databases are used for data entry and maintenance, real-time data updates, communication with historians, and communication with applications such as Figure 4 As shown, the real-time database includes a data backup system and a data recovery system. The data backup system is used for the cloud database to store data information in the real-time database in the cloud, and the data recovery system is used for the real-time database to read the data information in the cloud database.
[0035] The data backup system is completed according to the following steps: the cloud database is sent to the real-time database according to the backup s...
Embodiment 2
[0041] As the second embodiment of the present invention, the fusion method of the database fusion association system includes as follows:
[0042] S1: When the sensor obtains the target information, it first stores the target information in the real-time database and is controlled by the fusion management module;
[0043] S2: Read data from the real-time database, and perform trajectory correlation and filter tracking;
[0044] S3: Manage the work of the sensor according to the fusion results and observation values, and store the observation values and filtering results in the real-time database for trajectory correlation and filtering at the next moment;
[0045] S4: During the fusion process, the data in the real-time database is periodically transferred and stored in the historical database.
[0046] The database fusion association system of this embodiment starts from the requirements of data fusion on the database, establishes a database model supporting the data fusi...
Embodiment 3
[0048] As the third embodiment of the present invention, the filter tracking adopts the secondary filtering algorithm to detect and track the target, and the secondary filtering algorithm is:
[0049] Assume and is the optimal estimate at time k, and is the predicted value of the best estimate, P(kk), P 1 (kk) and P 2 (kk) is the corresponding error covariance gap matrix, P(kk-1), P 1 (kk-1) and P 2 (kk-1) is the corresponding error covariance prediction matrix;
[0050]
[0051] in:
[0052]
[0053]
[0054] A global optimal estimate is obtained by synthesizing two local optimal estimates, and the second filtering algorithm is used to track the target, thus greatly improving the tracking accuracy.
[0055] The database fusion and association system of the present invention combines the fusion model and the database into a unified whole, designs the database from top to bottom, and realizes an overall optimized database strategy, which has great advanta...
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