8 results about "Data verification" patented technology

The invention discloses a data verification method, system and device, and equipment. According to the scheme provided by the embodiment of the invention, when a block chain type account book needs tobe verified, integrity verification can be firstly carried out on a block head in a coordination node, and after the verification is passed, a further second verification instruction is distributed to each data node, so that each data node executes verification in the data block in parallel.

The invention discloses a deep learning magnetic resonance spectrum reconstruction method based on matrix decomposition, and relates to a magnetic resonance spectrum reconstruction method. The methodcomprises the following steps: 1) generating a time domain signal of a magnetic resonance spectrum by utilizing an exponential function; 2) establishing a training set containing full-sampling time domain signals and under-sampling time domain signals; 3) designing a deep learning network structure based on matrix decomposition; 4) designing a data verification layer of the deep learning network based on matrix decomposition; 5) designing a feedback function of the deep learning network based on matrix decomposition; 6) generating a spectrum reconstruction model of the deep learning network based on matrix decomposition; 7) training relative optimal parameters of the network; 8) reconstructing a magnetic resonance signal needing undersampling reconstruction, and 9) performing Fourier transform on the reconstructed time domain signal to obtain a reconstructed spectrum. the magnetic resonance signal reconstruction method has the advantages that the magnetic resonance signal reconstruction method not only has excellent time performance of a deep learning method, but also has relatively reliable theoretical support on the basis of a traditional reconstruction method, and the magnetic resonance signals can be rapidly reconstructed in a high-quality manner.

The invention discloses an assistance project data management method and system. The method comprises: acquiring assistance project data, verifying the assistance project data, screening the assistance project data, tracking the assistance project data and managing the assistance project data. Through management methods of data verification, screening, comparison, analysis and the like, the assistance project is continuously supervised, and the problems that the assistance project declaration data is verified, the assistance project subsidy fund is enjoyed by repeatedly declaring the data, andthe project after acceptance is lack of supervision and the like are solved.

Collected data of a first set of parameters is received via a network from one or more devices. Using machine learning, at least a portion of the collected data of the first set of parameters is analyzed to automatically identify one or more additional data parameters to be obtained to verify a detection of an incident pattern. The one or more additional data parameters are indicated to be obtained to at least a portion of the one or more devices. Collected data responsive to the indicated one or more additional data parameters is received. Based at least in part on the responsive collected data, the detection of the incident pattern is verified and a responsive action is performed.

The invention relates to the technical field of power grid energy prediction, in particular to an AI-based network source load prediction data management system, which comprises an information acquisition module, a prediction processing module, a data verification module, a database module and a dispatching master station end, and is characterized in that the information acquisition module comprises a weather receiving unit, an actual load unit, a date recording unit and an OSB interface unit; the input end of the OSB interface unit is connected to the output end of the dispatching master station end through a wireless network, and the weather receiving unit is used for receiving weather information sent by the dispatching master station end. According to the invention, the information acquisition module and the database module can realize data information interaction and extraction with the scheduling master station end; the scheduling master station end can synchronously obtain the prediction result, so that corresponding decisions can be made in time, meteorological information and actual load information are received in real time for prediction analysis, the predicted load data information can be verified and corrected, and the basis reliability of the predicted load data information is ensured.

The invention discloses an electric power measurement field operation safety on-line monitoring system, which comprises an on-line monitoring module, a task receiving module, a task execution module, a data acquisition module, a data verification module, an exception labeling module and a data uploading module, and is characterized in that the on-line monitoring module is connected with the task receiving module through a signal line; the task receiving module is connected with the task execution module through a signal line, the task execution module is connected with the data acquisition module through a signal line, and the data acquisition module is connected with the data verification module through a signal line. And the data verification module is respectively connected with the exception labeling module and the data uploading module through signal lines. According to the invention, the threshold value is defined according to seven test categories during the test, monitoring of all data can be basically completed at one time, the result after monitoring is accurate, and a worker can carry out targeted improvement according to the uploaded data.