58 results about "Change tracking" patented technology

The invention relates to the technical field of displacement change monitoring, in particular to a large-scale structure displacement change tracking monitoring method and system based on digital images, and the method comprises the following steps: manufacturing a target with a known shape and size; collecting a global digital image of the large-scale structure when no target is arranged, defining the global digital image as a first digital image, marking a fixed point and a displacement tracking point to be measured in the first digital image based on prior knowledge of the large-scale structure, and arranging targets at the fixed point and the displacement tracking point to be measured; acquiring a digital image of the large-scale structure after the target is arranged, and defining the digital image as a second digital image; based on the target in the second digital image, target structure displacement analysis is carried out, target theoretical center point position coordinates corresponding to the displacement tracking points to be measured are obtained, and displacement changes of the large-scale structure are analyzed. According to the invention, the image identification monitoring precision of the to-be-measured displacement tracking point and the accuracy and robustness of change tracking of the to-be-measured displacement tracking point can be obviously improved.

This application concerns software-based improvements to computer systems. It relates to an apparatus, method, or program that allows computer systems to manage content generated with artificial intelligence by providing mechanisms for representing and reasoning about the provenance of said content. The application discloses several embodiments in different practical contexts, including change tracking for legal document generation, version control for source code, and real-time collaborative document editing.

A change tracking and delta generation (CTDG) system servicing multiple clients is disclosed for enabling the delta generation during replication to be proportional to the number of changes between two snapshots instead of the size of the snapshots. In some embodiments, CTDG can track changes to a file system, where change-tracking can be dynamically switched between two sub-CT modes, file level or directory level. Change-tracking (CT) keys may be generated accordingly and stored in a data structure to be used for delta generation during replications for clients. In some embodiments, change-tracking may be enabled or disabled for different clients. CTDG can coordinate the CT enablement / disablement to ensure replications can use the information in CT keys properly.

The invention relates to the technical field of security defense and intelligent scheduling of power supply, and discloses an intelligent power supply and distribution centralized monitoring application data interaction method and system. Operation state data and scheduling behavior data are managed in a monitoring platform, and a logic change tracking mechanism is introduced, so that the intelligent power supply and distribution centralized monitoring application data interaction is realized. The whole process of scheduling instruction generation, path issuing and response feedback is recorded, and an auditable data chain with time logic and a causal structure is formed. Therefore, when the abnormal index is detected, the data chain can be automatically called to perform backtracking analysis on the scheduling behavior, the causal association between the abnormal cause and the scheduling behavior is determined, data support is provided for subsequent scheduling adjustment, the abnormal response intelligent level based on monitoring data and the interpretability of scheduling adjustment decision are improved, and the scheduling efficiency is improved. And therefore, the manageability, controllability and operation safety of power supply and distribution can be effectively ensured.

Techniques and architecture are described for initializing, reviewing / approving, and deploying changes within a network. Each change is associated with a particular change ticket. When a change needs to be rolled back, the original change ticket may be analyzed to determine what actions need to be performed to roll back the change. A plan of the needed actions may then be presented to a reviewer in a rollback ticket. The original change ticket may be cancelled and a new ticket, e.g., the rollback ticket, may be prepared that includes the plan for the rollback, e.g., the one or more actions needed to roll back the initial change. In configurations, a change ticket may include multiple changes and thus, for rollback, either all the changes associated with the change ticket may be rolled back or only the last change or action that was initially made may be rolled back.

The invention belongs to the field of complex equipment change control, and particularly relates to a complex equipment-oriented change tracking method, which comprises the following steps of: 1, configuring an event feedback result; step 2, event registration; 3, analyzing an event type; 4, configuring an event set; 5, defining a node object; 6, displaying the node object; and 7, displaying a result. According to the method, all receipts generated in a change control process are stipulated to be collectively called change receipts, query of one piece of information of one change receipt is defined as an event, all data information of a certain change receipt in a product life cycle management system is collected in an event set mode, and the data information is interactively displayed by a front end according to needs; the problems that current change tracking operation is complex, and the incidence relation and detailed information cannot be visually displayed are solved.

The present invention discloses an adaptive metadata collection and change tracking system, which relates to the field of metadata processing technology, and includes a data management center, wherein the data management center is communicatively connected with a data source identification module, a data analysis module, an incremental data collection module, a real-time data processing module, a metadata warehouse module, a change tracking and history recording module, a data quality monitoring module, and a user interface module, wherein electrical signals are connected between the modules. The present invention ensures the accuracy and consistency of data by real-time monitoring and evaluating data quality, and reduces the need for manual intervention and the risk of human error by automatically identifying and collecting new metadata sources, including unknown or dynamically changing data. The system can continuously track and record the change history of metadata, and timely discover and repair data quality problems, thereby effectively improving data quality.

The invention provides a panel-based auxiliary home appliance quality inspection system, and relates to the technical field of intelligent home appliances, the panel-based auxiliary home appliance quality inspection system comprises a quality inspection processing system, and the quality inspection processing system comprises a mirror image universe simulation module, an ideological flow sensing module, an entropy change tracking module, a super-sensory collaboration module and a self-evolution algorithm module. According to the method, the operation data of the household appliances are collected in real time through the tablet equipment sensor, and the digital twinborn body is constructed in combination with the generative adversarial network, so that abnormal states in operation of the household appliances can be found in time, fault deterioration caused by delayed detection is effectively avoided, the real-time performance and efficiency of quality inspection of the household appliances are improved, and the quality inspection efficiency of the household appliances is improved. A convolutional neural network is adopted to analyze brain wave signals of a user, identify emotional features and adjust detection priorities, entropy change data are deeply analyzed and fault modes are mined through wavelet transform and data mining technologies, the probability of false alarm and missing alarm is remarkably reduced, and a more accurate fault prediction and personalized solution is provided.

The invention discloses a system and a method of a carbon evidence anchor point technology, which relate to the technical field of carbon emission monitoring, and form a time differential set Tdif capable of reflecting carbon data generation time characteristics and a modification track set Trac capable of reflecting a data modification propagation relationship by performing time sequence analysis and change tracking on an original data set Cdat. A behavior fingerprint set Fing is established, so that the carbon data generation process has unique behavior fingerprint features; performing consistency comparison on the behavior fingerprint set Fing and the reference fingerprint set Base, generating a fingerprint deviation result Devi, and forming an anchor point evidence set Anch according to the fingerprint deviation result Devi, so as to identify whether the carbon data generation behavior deviates from a normal generation mode or not; and finally, the anchor point evidence set Anch is bound with the corresponding carbon data record and written into a carbon evidence index structure, so that the problem that only the carbon emission value is recorded and the authenticity of the data generation process cannot be proved in the prior art is effectively solved.

This log-based data-change tracking method may comprise the steps of: collecting raw data generated by one or more applications; storing raw log information that matches the raw data in a data repository; storing, in the data repository, conversion log information that matches with conversion data analyzed on the basis of the raw data by an operation of an application; storing, in a log repository, application log information generated on the basis of the raw log information and the conversion log information stored in the data repository; and storing, in a lineage repository as metadata, matching log information generated by matching the raw log information and the conversion log information on the basis of the application log information.

The present invention discloses a shallow sea environment intelligent monitoring system and method using multiple buoys, and relates to the technical field of marine environment monitoring. The monitoring system comprises: an equipment combination module, a response area division module, a regional change tracking module, a regional correction module, and a regional detection module. The technical key points are: dividing the buoy into a number of gradient intervals based on the distance between the buoy and its nearest coast, and then analyzing the movement direction and movement speed of the detection object according to the change of the concentration of the detection object within the same gradient interval or in different gradient intervals over time, so as to predict the diffusion position of the detection object in advance, provide a basis for the capture of aquatic products or the management of the environment, and adapt to the variability of the marine environment; and then based on the historical diffusion trend of the detection object with the same or similar concentration retrieved from the database, the diffusion trend of the detection object is corrected, thereby ensuring the accuracy of the diffusion trend analysis of the detection object.

The present invention discloses a block-level data backup system, which includes a console, a client, and a backup server. The client includes a client service module, a backup task execution module, and a block change monitoring module that are connected in sequence. The console is used to manage the client and the backup server, formulate a backup plan and send it to the client and the backup server. The client service module is used to receive the full backup or incremental backup plan of the user. The backup task execution module is used to execute the backup task. The backup task execution module includes a full backup sub-module and an incremental backup sub-module, and each sub-module is implemented through a main thread, a read thread, a compression thread, an encryption thread, and a write thread. The block change monitoring module is used to monitor the block changes, save the block change information in the form of a bitmap and provide it for the backup execution module to use. The present invention uses block-level change tracking technology to monitor the changed blocks of the volume to be protected, and can obtain accurate change data, thereby ensuring the consistency of the backup data.

Techniques and architecture are described for initializing, reviewing / approving, and deploying changes within a network. Each change is associated with a particular change ticket. When a change needs to be rolled back, the original change ticket may be analyzed to determine what actions need to be performed to roll back the change. A plan of the needed actions may then be presented to a reviewer in a rollback ticket. The original change ticket may be cancelled and a new ticket, e.g., the rollback ticket, may be prepared that includes the plan for the rollback, e.g., the one or more actions needed to roll back the initial change. In configurations, a change ticket may include multiple changes and thus, for rollback, either all the changes associated with the change ticket may be rolled back or only the last change or action that was initially made may be rolled back.

The present invention relates to the technical field of forest gap monitoring, and is used to achieve accurate monitoring, dynamic change tracking and ecological impact assessment, and in particular to a remote sensing-based forest gap monitoring method; the present invention performs analysis from two points of remote sensing image acquisition and processing to ensure the availability of remote sensing images and the reliability of remote sensing image processing quality, and based on the premise that remote sensing image acquisition and processing are qualified, analyzes from two points of forest gap change trend and forest gap ecological impact by means of information feedback, that is, performs forest gap change supervision and assessment operations on forest gap data to understand the trend of changes in the number of forest gaps and the trend of changes in the area of ​​forest gaps in a target forest area, and then performs rational management based on the predicted change trend, and performs ecological impact supervision and assessment analysis on forest gap impact data, so as to intuitively understand the impact of forest gaps in a target forest area on regional ecology, which is helpful to provide a scientific basis for forest management and ecological protection.

The invention discloses a software demand tracking and management method based on a demand chain, which comprises the following steps: carrying out standardized expression and entry disassembly on demands in an original demand book to obtain demand entries, and adding demand identifiers to the demand entries to obtain standardized demand baselines; establishing a demand change tracking relation among the software case model, the analysis model, the implementation model and the deployment model according to the standardized demand baseline, and constructing a demand tracking chain and a demand tracking matrix according to the demand change tracking relation; according to a preset change demand source, carrying out change influence propagation path analysis based on the demand tracking chain and the demand tracking matrix, and constructing a change influence tree; and according to the change influence tree and the demand tracking chain, demand change work is carried out according to demand change control requirements on demand entries related to the change, and a new demand tracking chain is obtained. The method is simple and easy to implement, wide in application range and fine in demand management process, the development period of software can be effectively shortened, and the development efficiency of the software is improved.

The invention discloses a data backup method and computer equipment, relates to the technical field of data backup, and is used for backing up data in the equipment through a backup device based on block change tracking (CBT). The method comprises the steps of obtaining storage information of to-be-backed-up differential data in a first storage device, wherein the differential data comprises data updated in a target time period; according to storage information of the differential data in the first storage device, determining a bitmap, so that a target position in the bitmap indicates the differential data; and backing up the data indicated by the target position in the bitmap to the second storage device.

The invention relates to the technical field of data analysis, in particular to a microstructure change tracking method based on chip aging analysis, and the method specifically comprises the steps: obtaining chip factory structure data, importing the data into a chip change prediction model, obtaining an initial aggregation stability index, carrying out the evaluation of the aging condition of a chip, and entering a chip maintenance and renovation process if the evaluation result is a to-be-renovated grade; if the evaluation result is a to-be-recycled grade, constructing a physical field coupling migration model, and analyzing and outputting the initial instantaneous migration speed of noble metal atoms on the chip; interference analysis is conducted on adjacent precious metal atoms, correction compensation is conducted on the instantaneous migration speed, the aggregation density condition of the precious metal atoms at all recovery evaluation point positions on the chip is obtained through tracking, and high potential points of the chip are screened out. According to the invention, the problem of low identification efficiency of the high-potential recovery point on the aged chip in the prior art is solved.

The invention provides a clinical test source data traceability tracking operation system, and relates to the technical field of drug clinical tests. Comprising a data identification and index end, a data acquisition and recording end, a data change tracking end, a data traceability and traceability end, a data verification and auditing end, a data access and authority control end, a data backup and recovery end and a data report and analysis end. The data identification and index end, the data acquisition and recording end, the data change tracking end, the data traceability and tracing end, the data verification and auditing end, the data access and authority control end, the data backup and recovery end and the data report and analysis end are in data communication through a private network and a private line network. The system aims at monitoring and managing links such as sources, acquisition, recording and change of clinical test data so as to ensure the reliability and credibility of the data.

Techniques and architecture are described for initializing, reviewing / approving, and deploying changes within a network. Each change is associated with a particular change ticket. When a change needs to be rolled back, the original change ticket may be analyzed to determine what actions need to be performed to roll back the change. A plan of the needed actions may then be presented to a reviewer in a rollback ticket. The original change ticket may be cancelled and a new ticket, e.g., the rollback ticket, may be prepared that includes the plan for the rollback, e.g., the one or more actions needed to roll back the initial change. In configurations, a change ticket may include multiple changes and thus, for rollback, either all the changes associated with the change ticket may be rolled back or only the last change or action that was initially made may be rolled back.

The invention relates to a method, a device and a computer program for event-based execution of a programmable automation device (10) wherein the method comprises: receiving a change notification (500) indicating a changed value of an input (50) of the automation device (10); updating a data point of an input process image (100) of the automation device (10), which data point is assigned to the input (50), on the basis of the modified value; and setting a change indicator (Chg) of a data point of the input process image (100), the change indicator indicating that the data point has been updated. According to the invention, the result of higher performance can be realized under the condition of remarkably saving resources (especially electric energy consumption), especially in the application field in which the control data is rarely changed and / or the control data is changed in a very small range.

The invention discloses a data log full-link tracking method and device, and the method comprises the steps: defining an operation log annotation according to a target strategy, and the target strategy comprises a batch insertion strategy, a single insertion strategy, a deletion strategy or an updating strategy; and according to the operation log annotation, performing full-link tracking on the data operation function to obtain a tracking result. According to the method, full-link tracking of the data logs can be realized through various strategies, the operation semantic recognition accuracy and the change tracking capability are improved, and the maintenance cost is reduced. The method can be widely applied to the technical field of computers.

The application relates to the technical field of data analysis, and is a microstructure change tracking method based on chip aging analysis, and specifically comprises the following steps: obtaining chip factory structure data is imported into a chip change prediction model, an initial aggregation stability index is obtained, chip aging condition evaluation is carried out, if the evaluation result is a to-be-refurbished level, a chip repair and refurbishment process is entered; if the evaluation result is a to-be-recycled level, a physical field coupling migration model is constructed, the initial instantaneous migration speed of noble metal atoms on the output chip is analyzed, adjacent noble metal atoms are interfered, the instantaneous migration speed is corrected and compensated, the aggregation density of noble metal atoms at each recycling evaluation point position on the chip is tracked, and a high-potential point of the chip is screened out. The application solves the problem of low identification efficiency of high-potential recycling points on an aging chip in the prior art.

A change tracking and delta generation (CTDG) system servicing multiple clients is disclosed for enabling the delta generation during replication to be proportional to the number of changes between two snapshots instead of the size of the snapshots. In some embodiments, CTDG can track changes to a file system, where change-tracking can be dynamically switched between two sub-CT modes, file level or directory level. Change-tracking (CT) keys may be generated accordingly and stored in a data structure to be used for delta generation during replications for clients. In some embodiments, change-tracking may be enabled or disabled for different clients. CTDG can coordinate the CT enablement / disablement to ensure replications can use the information in CT keys properly.

One or more embodiments of the invention provide a risk management and control method and device. According to the method, at least one service scene and a service link topological relation corresponding to each service scene are firstly constructed, and then a core service node in the service link topological relation is determined according to a preset screening index; then, carrying out change tracking on the core service node through a unified change platform to obtain change data; according to a change type corresponding to the change data, configuring risk control labels corresponding to the change contents; in response to a received change risk query request input by a user, generating change information corresponding to the change risk query request; and aiming at each change content in the change information, performing risk analysis by utilizing a risk analysis method corresponding to each configured risk control label, and generating risk information corresponding to the change information.

A change tracking and delta generation (CTDG) system servicing multiple clients is disclosed for enabling the delta generation during replication to be proportional to the number of changes between two snapshots instead of the size of the snapshots. In some embodiments, CTDG can track changes to a file system, where change-tracking can be dynamically switched between two sub-CT modes, file level or directory level. Change-tracking (CT) keys may be generated accordingly and stored in a data structure to be used for delta generation during replications for clients. In some embodiments, change-tracking may be enabled or disabled for different clients. CTDG can coordinate the CT enablement / disablement to ensure replications can use the information in CT keys properly.

The invention relates to the field of part machining recognition, in particular to a precise recognition method and device for automobile part machining. The method comprises the following steps: obtaining a part processing monitoring video, and carrying out dynamic video imaging parameter adjustment and full video delay synchronization processing to obtain a delay synchronization optimization video; according to the delay synchronization optimization video, carrying out visual identification on the micro structure of the part, and extracting a three-dimensional morphological parameter of each feature point; performing frame-by-frame optical flow change tracking on the delay synchronous optimization video, and performing morphological parameter change calculation on the three-dimensional morphological parameters to obtain an overall processing change state of the part; and processing path change logic mining is carried out according to the delay synchronous optimization video, three-dimensional time sequence change modeling is carried out on the overall processing change state of the part, and a real-time processing change model of the part is constructed. The machining precision and production efficiency of parts are improved, the rejection rate is remarkably reduced, and the product quality is improved.

Disclosed are systems, methods, and apparatus for performing tasks on database data in response to a triggering event. The method includes performing a transaction on a table including the database data, wherein performing the transaction includes generating a new table version. The method includes: in response to the transaction being fully executed, generating a change tracking entry, the change tracking entry including an indication of one or more modifications made to the table by the transaction; and storing the change tracking entry in a change tracking stream. The method includes performing the task on the new table version in response to the triggering event.

The embodiment of the invention discloses a file clause change tracking method and device, equipment and a storage medium. The method comprises the steps that clause-level structured analysis is carried out on a first version file and a second version file based on a pre-constructed knowledge graph, change nodes in the knowledge graph are obtained, and the version of the first version file is earlier than that of a second text file; determining an association node candidate set of the change node according to the relationship between the nodes in the knowledge graph every time the change node is determined; determining whether influence nodes of the change nodes exist in the association node candidate set or not according to the similarity of the association nodes and the change nodes; if yes, establishing an influence edge between the change node and the influence node, and determining the influence node as a new change node; and if not, tracking the change content of the second version file along all the influence edges. And the efficiency and comprehensiveness of change content identification are improved.

The present invention provides a system and method for intelligent management risk prevention and control of hydropower projects, including: a management risk point standard library subsystem, which counts the occurrence rules of management risks throughout the life cycle of hydropower project construction, automatically divides the hydropower project construction risk levels of risk points in the hydropower project construction, and tracks and optimizes the risk information change configuration; a risk information automatic generation subsystem, which determines whether there is a risk at a risk point according to the full life cycle management risk assessment standard, automatically generates risk point risk determination information, and automatically triggers a risk processing process program; a management risk warning reminder subsystem, which automatically generates risk level prompt information according to the risk processing process program, and provides risk level reminders; a management risk classification report subsystem, which forms a closed intelligent program process for the management of risks throughout the life cycle of hydropower project construction through the risk processing process program, and realizes intelligent management risk prevention and control of hydropower projects.

The application discloses a kind of multi-wheel independent steering assist force tracking control methods, process as follows: the target assist force of each steering wheel is calculated respectively, the maximum value of unit time vehicle assist force change, the total assist force change of vehicle, the maximum value of assist force collaborative change, the total amount of the absolute proportion of the relative difference of instantaneous assist force, the change multiple of the maximum allowable change of assist force, the scaling factor of the total amount of the absolute proportion of the relative difference of instantaneous assist force, the maximum value of the scaling factor of the total amount of the absolute proportion of the relative difference of instantaneous assist force, instantaneous assist force change tracking coefficient, assist force change tracking amount, assist force change tracking amount and current time instantaneous target assist force.The application also discloses a kind of multi-wheel independent steering assist force tracking control device.The application can solve the problem that each steering wheel reaches target assist force time is different, causes each steering wheel steering mechanical damage and working life reduction caused by assist force change too fast, can be widely applied in vehicle control field.