364 results about "Data binding" patented technology

The invention relates to the technical field of configuration editing, in particular to an intelligent page editing method and system based on component dynamic generation, and the method comprises the steps: extracting data binding, event response and rendering rules by analyzing teaching component codes, generating JSON Schema, an event mapping table and a view template, and storing the JSON Schema, the event mapping table and the view template in a database after logic optimization and intelligent completion. And setting priority rules of equipment performance, user intention and domain knowledge, generating a preliminary strategy instruction by utilizing a rule engine in combination with stored data, predicting component combination probability through machine learning, and fusing to generate a final strategy. And generating a DOM tree based on the strategy instruction dynamic loading component, collecting page interaction data and feeding back the page interaction data to the rule engine to form a strategy optimization closed loop. According to the method, dynamic generation and intelligent adaptation of the teaching component are realized, and the flexibility and cross-end adaptation capability of page editing are improved.

The invention relates to the technical field of electronic information technology anti-counterfeiting, in particular to an electronic seal verification method based on a quantum true random number and an anti-quantum multi-dimensional dynamic code, which comprises the following steps of: generating a true random number by introducing a quantum random number generator, constructing a quintuple scene space, and fusing multi-dimensional data of a user, a seal, a file, time and a geographic position; an SPHINCS + anti-quantum signature algorithm is adopted, and block chain evidence storage is combined, so that a four-layer nested dynamic security system of quantum random injection, multi-source data binding, anti-quantum encryption and block chain evidence storage is formed. Meanwhile, a whole-process credible system from application, auditing to stamping and verification is constructed, compared with a traditional electronic seal, the quantum-attack-resistant electronic seal has remarkable breakthrough in the aspects of random number safety, quantum attack resistance, data fusion degree, tampering detection sensitivity and the like, and a credible electronic seal solution in the quantum era is provided for finance and other scenes.

The invention discloses a UI interface layout information real-time rendering display system and method based on a swan gap system, and relates to the field of man-machine interaction, and the method comprises the steps: obtaining an interface rendering data stream when a target application program runs in the swan gap system, extracting a layout metadata set from the interface rendering data stream, and displaying the layout metadata set in the swan gap system; the method comprises the following steps: determining a target element subset comprising percentage size attributes, a nested rolling container and a data binding relationship, and then generating a wireframe coverage layer with hierarchical transparency characteristics according to the target element subset; and displaying the hierarchical path information of the currently selected element, the pixel deviation ratio of the actual rendering size and the design draft size, the text content overflow state mark and the parent container constraint condition expression. According to the display system and method for real-time rendering of the user interface layout information based on the swan-monk system, the efficiency of repairing the user interface problem by a tester is improved.

The invention discloses a data visualization report generation method and device based on a low-code platform, and relates to the field of data processing. The method comprises the following steps: configuring a target data source, and judging whether the connection of the target data source is valid or not; if the connection of the target data source is determined to be valid, selecting the target data source for connection, and binding the target data source to the new application; based on the data source information of the target data source and the application requirements of the new application, designing a report template through a visual interface; and performing data binding and data assignment on the fields in the target data source and the report template by executing the SQL script file to generate a visual report, and outputting the visual report. By implementing the technical scheme provided by the invention, the development efficiency of the data analysis report is improved.

The invention discloses a drag-and-drop type visual chart component system. The system comprises a data source and format conversion module, a real-time data binding module and a drag-and-drop type interaction module, the dragging type interaction module is used for dragging the selected chart component into a working area; the data source and format conversion module is used for performing format conversion on different collected data, and the real-time data binding module binds the data with a chart component in a working area; and the bound chart component interacts with a user through a user interface. In the invention, the system provides a visual drag-and-drop interaction function, so that the user can easily construct and customize the chart without programming skills. And the user can directly drag the required chart component into the working area, so that the chart creation process is simplified. Depending on the real-time data binding module, the system can automatically refresh the chart component when the data source is updated, so that the user can always obtain the latest data display.

The invention relates to the technical field of computer programming, in particular to a method for realizing data binding and code generation based on a Qt plug-in technology, which comprises the following steps: developing a Qt Creator extension plug-in, realizing dynamic loading and registration, analyzing a database file through the plug-in, generating a visual data view, and providing a visual binding interface through the steps. The method comprises the following steps: establishing a binding relationship between an interface control and a data source by supporting a dragging operation, automatically generating a JSON data model, compiling to generate a binding code according to the JSON data model, registering, and finally realizing code increment updating through file hash value comparison; according to the method, through the IDE integrated graphical interface, dragging connection of the control and the data field is supported, manual writing of repetitive codes is avoided, change is detected through the file hash value, only influenced codes are regenerated, compiling time is shortened, development efficiency is remarkably improved, and labor cost is reduced.

The invention provides a 10kV cable accessory manufacturing quality inspection report generation method and system, and relates to the technical field of power equipment quality detection and reliability evidence storage. According to the method, original detection data is acquired and structured in multiple dimensions, and data sources, operators and equipment identifiers are bound, so that context integrity and traceability are realized; initial and enhanced data fingerprints are generated through block classification, standardization and Hash operation, and a dynamic fingerprint chain is constructed by using a chain structure, so that whole-course data has content and process dual integrity identifiers; a multi-level verification sequence is embedded in each stage of report generation, finally, a block chain is utilized to record a data packet abstract, an anchor point on the chain is bound with report metadata, a transaction ID is embedded into a report document, and a checking two-dimensional code is generated. According to the method, the non-tampering performance and the verifiability of the content and the generation process of the detection report and the traceability of the whole circulation process are improved.

The invention discloses a multi-level front-end page layout and state linkage management method and a multi-level front-end page layout and state linkage management system, which belong to the technical field of front-end development, and are characterized in that page layout is configured in a declarative manner through a JSON (JavaScript Object Notation) format, and component states are automatically managed by adopting a multi-level linkage mechanism to realize front-end The JSON configuration comprises an id field definition business logic module identifier and a struct field definition layout rule; dynamic rendering and state linkage are realized by separating the business logic and the layout structure of the component and combining a hierarchical data binding mechanism; and the child hierarchy automatically triggers state emptying or data loading operation by monitoring data change of the parent hierarchy. According to the method, the problems of high page and logic coupling degree, complex state management and poor expansibility in the prior art can be solved, clear decoupling and automatic linkage are realized, and the method is easy to expand.

The invention belongs to the technical field of big data governance, and discloses a big data governance system and method based on a hierarchical label system. The system comprises a data access preprocessing unit, a label modeling and hierarchical configuration unit, a label analysis and data binding unit, a label driving data governance unit and a label conflict detection and dynamic updating unit, the label driving data governance unit takes a label binding result as a trigger, a governance rule is loaded through a dynamic rule engine, and the label conflict detection and dynamic updating unit carries out dynamic updating. A multi-dimensional verification strategy and an encryption management and control mechanism are used for cleaning, classifying and performing security protection on the data; the label conflict detection and dynamic updating unit monitors the label system in real time, and adjusts and repairs by means of path traversal and version management technologies after finding conflicts, so as to ensure the stability of the label system; the two functions together to automatically process abnormal data, maintain a label system and guarantee data quality and safety.

The invention provides a component freezing recovery method based on a page life cycle interface. In the frame compiling stage, page life cycle event monitoring logic is injected into the component, a freezing and recovering event monitor is automatically registered, a large-data-volume rendering component tree is recognized, a freezing identifier is added, and butt joint of the Vue component tree and a browser freezing event is achieved. When a freezing event is triggered, dependence of a responsive memory for releasing a virtual rolling component in a background label page is ensured by pausing virtual rolling rendering, generating a component state snapshot, creating a rolling position anchor point record, removing non-visual area nodes, retaining placeholder elements and releasing responsive data binding. And after a recovery event is triggered, positioning a rolling position based on anchor point parameters, preferentially reconstructing a visual area component in stages, and recovering the responsive system, so that rolling position zero offset and state zero loss are realized when the page is recovered, and the reconstruction process has no perception delay. According to the method, manual intervention is not needed, and front-end development efficiency and performance optimization are both considered.

An embodiment method of generating a local map for travel control of a mobility includes loading the local map from an entire map stored in a memory, wherein the local map includes at least a portion of the entire map, acquiring a two-dimensional (2D) light detection and ranging (LiDAR) point data from a LiDAR mounted on the mobility, acquiring a three-dimensional (3D) feature point data by receiving a front image of the mobility from a camera mounted on the mobility, reducing a dimension of the 3D feature point data to a 2D feature point data, binding the 2D feature point data to the 2D LiDAR point data, and publishing the 2D feature point data bound to the 2D LiDAR point data on the local map.

The invention provides an ultrasonic radar debugging data interaction method and system, and the method comprises the steps: carrying out the analysis of an obtained structured configuration file, and obtaining a parameter configuration set which comprises radar detection parameters and communication protocol parameters; generating an interaction control on the interaction panel based on the parameter configuration set, and establishing a bidirectional data binding channel between the interaction control and the parameter configuration set; in response to a parameter change operation of a user, extracting a change field of the parameter configuration set, and generating a difference configuration instruction based on the change field; driving an ultrasonic radar test based on the operation parameters of the dynamic parameter storage area, and collecting original signal data and processing result data to obtain a test data set; and performing association analysis on the difference configuration instruction and the test data set to generate test result data. By adopting the method, the efficiency and accuracy of functional verification of the radar sensor can be improved.

The invention relates to the technical field of smart home, and discloses a virtual environment image home control method and system under digital twinning, and the method comprises the steps: building a digital twinning body through the physical data of a home scene, and building a user 3D human body model based on the human body scattered wave data, so as to generate a virtual mirror image; creating a communication channel between the virtual mirror image and the home equipment so as to construct a control interface of the virtual mirror image to the home equipment; based on the current behavior intention, setting a personalized control instruction of the virtual mirror image to the home equipment; according to the time sequence image and the behavior tracking network, setting a real-time synchronization mechanism of the virtual mirror image and the home scene, and constructing data binding of the home device and the virtual mirror image; and in combination with the virtual mirror image, the control instruction, the scene synchronization mechanism and the data security interaction system, executing the control instruction of the home equipment. According to the invention, one-to-one correspondence between the pictures displayed by the digital twinning and the real scene can be realized, so that a user can accurately control the actual state of the supervised object.

The invention discloses an automatic identification method and system for a precast beam manufacturing process based on multi-source data. The method comprises the steps that the position and binding condition of reinforcing steel bars, the position change of a formwork, the temperature change in a steam-curing kiln, key parameters in the precast beam production process, the positions of a gantry crane and a lifting hook of the gantry crane and lifting weight information of the lifting hook of the gantry crane are obtained; the data storage and processing module automatically identifies each process in sequence through an AI algorithm; when a reinforcing steel bar binding process starts, a process early warning unit of a process early warning and precast beam process binding module automatically creates a virtual beam number associated with the process, and the process early warning unit automatically generates short message notification content according to current production line data and automatically sends the short message notification content to a related principal; and the person in charge accesses a virtual beam number list provided by the process early warning unit, selects a corresponding virtual beam number to carry out process data binding, and dynamically adjusts the virtual beam number into a real beam structure number, so that automatic identification of the prefabricated beam manufacturing process is realized.

The invention particularly relates to a dynamic form data binding method. According to the dynamic form data binding method, the dynamic association between the field and the control is realized through visual configuration, the control type is automatically adapted when the field is changed, and code logic does not need to be manually intervened; a global binding relation matrix is introduced based on graph structure storage, the mapping relation between fields and controls is managed in a centralized mode, and when the fields are added, deleted and modified, a control adaptation and data degradation strategy is automatically triggered; and establishing bidirectional binding of a data model and a control based on a responsive framework, and dynamically generating an API response format in combination with JSON Schema to realize real-time synchronization of field addition, deletion, modification and check. According to the dynamic form data binding method, the data binding code can be automatically generated, so that the code writing workload of a developer is greatly reduced, the project development period is shortened, the business demand change can be quickly responded, real-time data interaction can be realized, and the fluency and convenience of filling the form by a user are improved.

The invention provides a full-life traceability type digital shelf system based on the Internet of Things, and the system comprises a multi-source heterogeneous sensor group which is disposed at a raw material supply device, a production device, a logistics carrier, and an intelligent shelf, and the multi-source heterogeneous sensor group comprises: the production device is provided with a vibration spectrum sensor, and collects device vibration waveform data bound with a raw material batch number in real time; the logistics carrier is provided with a position sensor, and transport track GPS coordinates and corresponding time-space stamps are synchronously recorded; the intelligent goods shelf is provided with a pressure sensing array, and the commodity distribution form is monitored with 1 cm < 2 > grid precision. And a block chain causal evidence storage module. According to the full-life traceability type digital shelf system of the Internet of Things, the equipment vibration waveform is accurately collected and bound with the batch number of the raw material, so that the quality problem can be quickly traced to the raw material, the production quality management and control level is improved, high-precision space-time positioning and time synchronization are realized in logistics transportation, the transportation track can be accurately recorded, and the transportation efficiency is improved. Abnormal events are comprehensively traced, and logistics information transparency is guaranteed.

The invention discloses a system for generating structured data based on natural language processing to drive UI dynamic rendering. The system comprises a voice acquisition and recognition module, a natural language processing module, a UI dynamic rendering driving module, a control logic automatic binding module and a rendering execution module. User voice or text instructions are automatically analyzed into structured JSON data through natural language processing, Jetpack Compose is driven to dynamically generate UI components, service logic is bound, zero-code interface construction is achieved, in addition, the system is combined with a local AI model, a factory mode and a reflection mechanism, multi-end adaptation, bidirectional data binding and event automatic processing are supported, and the system is suitable for large-scale popularization and application. According to the method, the development threshold is remarkably reduced, the iteration efficiency is improved, the method is particularly suitable for scenes such as smart homes and vehicle-mounted central control which need to quickly customize UIs, and meanwhile offline availability and cross-device consistency are guaranteed.

The invention discloses a water conservancy project construction progress prediction and intelligent management method, and relates to the technical field of water conservancy projects, and the method comprises the following steps: constructing a unique identification code system of construction elements, collecting multi-source data bound with a unique identification code, carrying out the correlation fusion of the multi-source data based on a preset dynamic correlation rule base, and carrying out the prediction of the construction progress of a water conservancy project. Generating a fusion data set and mapping the fusion data set to a corresponding component of the BIM model in real time, visually displaying fusion data in the BIM model, comparing the fusion data set with a preset scene feature library, identifying a complex scene and marking a core influence factor, and matching a collaborative plan from a mapping library of the scene and the plan, and generating a regulation and control instruction set, simulating an execution effect in the BIM model, obtaining execution data according to the collaborative plan, adjusting the regulation and control instruction set, obtaining an execution result, and updating a fusion data set and corresponding data in the BIM model, so that closed-loop management, accurate data association and dynamic management are realized, and the construction progress management efficiency is improved.

The invention belongs to the field of engineering management, and particularly relates to an electric power project full life cycle management method and system based on digital twinning, so as to solve the technical problems that digital twinning and a construction plan are disjointed, and a risk assessment and permanent data capitalization mechanism driven by real-time data is lacked. Obtaining a construction plan of the task unit and a digital twinborn model; s2, establishing an association relationship between a task unit and a component; s3, calculating a vector deviation between a field entity state and a digital twin model target state; calculating a risk coefficient of the component; forming a dynamic construction plan; and S4, performing structured packaging and Hash linking on the vector deviation, the risk coefficient, the quality acceptance result and the resource consumption data, and generating construction process data bound with the component. The defect of disjunction of plans and models in traditional management is overcome, possible space and resource conflicts in the future can be pre-judged and avoided, and the integrity and authenticity of process data are ensured.

The invention discloses an intelligent operation and maintenance method and system for a rail transit communication machine room based on digital twinning, and belongs to the technical field of digital twinning and three-dimensional visualization of a rail transit system. An intelligent operation and maintenance server side in the system comprises a data acquisition module, a three-dimensional modeling module, a digital twinning engine module and a database module; the intelligent operation and maintenance client comprises a dynamic loading scheduling module, a real-time data binding module and a visual interaction module; according to the system, a lightweight Web3D engine is adopted to dynamically load and render a three-dimensional model of a communication machine room as required, and real-time sensing, data synchronization, fault warning and remote operation and maintenance of the operation state of communication equipment are realized in combination with a digital twinning technology. According to the method, the functions of hierarchical loading of a multi-level model, alarm driving state rendering, operation and maintenance closed-loop management and the like can be realized. Compared with the prior art, the method has the advantages of light model weight, quick response, easiness in deployment, high expandability and the like, and is widely applicable to communication infrastructure operation and maintenance scenes in the field of rail transit.

The invention relates to the cross technical field of artificial intelligence and software development, in particular to a UI design draft intelligent transcoding method and system fused with a multi-modal large model, and the method comprises the following steps: carrying out the cross-modal joint analysis of a design draft through a multi-modal analysis engine, and extracting visual features, semantic association and interaction logic; generating a platform-independent intermediate representation containing style description, layout constraint and data binding; generating a multi-platform response type code based on a dynamic layout adapter, and solving a layout constraint equation by adopting an improved CasSowary algorithm; establishing a bidirectional synchronization mechanism of a design draft and codes, and realizing incremental updating through a SimHash algorithm; the method has the beneficial effects that a visual-semantic-code cross-modal cognitive link is creatively constructed, and accurate mapping of pixel-level style reduction and business logic is realized aiming at complex scenes such as multilayer nested components and dynamic interaction logic which are difficult to process by a traditional tool.

The invention discloses an electric power emerging business risk keyword identification and early warning method, system and device based on an NLP technology and a medium, and belongs to the technical field of electric power risk, and the method comprises the steps: obtaining multi-source customer service text data, and extracting risk keywords and corresponding voice spectrum data from the multi-source customer service text data; inputting the risk keyword into a power service knowledge graph, and generating a first risk research and judgment result through knowledge reasoning, the first risk research and judgment result comprising a risk traceability path; performing acoustic feature analysis on the speech spectrum data, extracting acoustic feature parameters, calculating an emotional excitation index, and generating a second risk identification result; performing weighted fusion on the first risk research and judgment result and the second risk identification result to generate a comprehensive risk score; and when the comprehensive risk score reaches a preset threshold value, generating a structured early warning work order, and carrying out data binding on the structured early warning work order, the original customer service work order and the call record. According to the invention, the efficiency of risk management and control is improved.

The invention discloses a digital authentication method and system based on industrial production data, and the method comprises the steps: obtaining original industrial production data, generating a unique fingerprint of equipment, binding the unique fingerprint with the original data, and generating an equipment-data binding hash value through employing a national cipher SM3 algorithm; the alliance block chain node dynamically selects a consensus protocol according to the timeliness of the original industrial production data, constructs a Merkle tree structure and stores a root hash value; verifying whether the device-data binding hash value is included by the Merkle tree corresponding to the specific root hash value through a zero-knowledge proof protocol; in the authentication stage, the verified hash value and index information are called, and encryption quality parameters stored under the chain are positioned and decrypted; and generating a three-dimensional credible identifier and a dynamic authentication description text based on the original quality parameter, the hash value, the product identifier information and the block chain transaction information, and performing signature verification through a quantum security electronic signature. According to the invention, the security and reliability of industrial data authentication are improved, and data tampering and counterfeiting are effectively prevented.

The embodiment of the invention discloses a numerical control machine tool adjusting method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: collecting initial machine tool data of a numerical control machine tool through an edge gateway; workpieces produced by the numerical control machine tool are detected, and workpiece detection data are obtained; binding the initial machine tool data with the workpiece detection data to obtain workpiece production quality data; based on the standard workpiece data information, performing production quality evaluation on the workpiece production quality data to obtain a dimensional deviation ratio and a cutting stability index; in response to the situation that the size deviation ratio and / or the cutting stability index do not reach the preset standard value, correspondingly machined appliance parameter data are searched in a preset technology knowledge base; converting the appliance parameter data into a machine tool execution instruction; and writing into a control system of the numerical control machine tool to process the workpiece. According to the implementation mode, the numerical control machine tool can adjust the parameters in real time according to the quality of the workpiece, and the machining quality and the yield of the workpiece are improved.

The invention relates to the technical field of digital asset management analysis, in particular to a digital asset intelligent analysis platform based on a block chain intelligent contract technology. The computing power resource state coupling module is used for obtaining the saturation degree of computing resources by capturing information of a task control block and combining the load rate of a processor, and embedding and collecting mapping data streams to generate a management and control data packet; the abnormal data screening module is used for executing local serial processing when the saturation degree of the computing resources is lower than an I / O throughput threshold value, and otherwise, hardware acceleration is carried out, and a to-be-verified digital sequence is constructed; generating an abrupt change collection feature vector based on the to-be-verified digital sequence; and the component resume anchoring module is used for carrying out data binding operation on the abrupt change collection feature vector, generating a single-piece digital traceability certificate, carrying out aggregation compression, obtaining a batch verification root value and outputting a quality signal digital right. According to the method, a load awareness and distributed storage partitioning strategy is constructed through indexes, and the I / O frequency and transmission bandwidth occupation of whole library retrieval are reduced.

The invention discloses an intelligent analysis system for the running state of a 3C vehicle-mounted contact network, and belongs to the technical field of crossing of intelligent operation and maintenance of rail transit and industrial artificial intelligence. And the system associates the multi-source heterogeneous observation data to a specific equipment unit through an equipment centralized data binding module. And the multi-modal feature extraction and state management unit processes the data and maintains a multi-dimensional state vector of the equipment by using the Kalman filtering updating unit. And the physical-data hybrid decision maker fuses the data driving rule and the simplified physical model to output a diagnosis result. The topology analyzer performs global verification based on a mechanical transfer rule. The system further comprises a long-term health state prediction and feedback module, early failure risks are predicted through a hidden Markov model, Kalman filtering process noise is dynamically fed back and adjusted, and cooperation of long-term prediction and short-term estimation is achieved. According to the method, the technical problems of multi-source data splitting, lack of physical basis in diagnosis and incapability of predictive maintenance are solved.

The invention relates to the technical field of big data storage and management, in particular to a local encryption tamper-proof storage method and system for a multi-format remote sensing image, and the method comprises the steps that a data uploading party carries out the standardization processing and metadata binding processing of a to-be-uploaded remote sensing image, and obtains standardized data and a global unique index; the data uploader cuts the standardized data, and encrypts and encapsulates the standardized data according to an AES-256-GCM algorithm to obtain a plurality of ciphertext blocks; the data uploading party executes independent storage, key derivation and data key encryption operation based on the master key to obtain an encrypted data key; the data uploader performs data signature and hash evidence storage based on the standardized data to form a block chain evidence storage record; a data receiving party stores various data transmitted by a data uploading party according to the forms of {Indexmeta, {E1,..., Ei,..., En}, Ekey and Blockhash} to form storage data, and when a user accesses the storage data, the data is prevented from being tampered based on the data hash irreversible characteristic of blockchain storage evidence and an MAC integrity verification mechanism.

The embodiment of the invention discloses an image processing method and device and related equipment, and can be applied to the technical field of data processing. The method comprises the following steps: acquiring a business image to be subjected to image quality detection; the business image is an image in a target business scene; retrieving a target standard image matched with the business image in a standard image set corresponding to the target business scene, and obtaining target image quality data bound with the target standard image; when the business feature data and the target standard feature data are obtained, splicing the business feature data, the target standard feature data and the target image quality data to obtain multi-modal feature data; and when model text prompt information for the target business model is obtained, the target business model performs image quality detection on the multi-modal feature data according to the model text prompt information to obtain image quality detection data. By adopting the embodiment of the invention, the accuracy and flexibility of image quality detection can be improved.

The invention provides a virtual equipment and variable data processing method for power monitoring, which realizes intelligent definition, calculation, alarm and visual data binding technology of virtual equipment and variables in a power monitoring scene by integrating MQTT, a memory database, a time sequence database and a relational database and combining a regular expression analyzer collaborative analysis mechanism. The system supports various data such as current real-time values, equipment attributes, accumulated value differences and historical data to form an expression, the real-time data is stored in a Redis database and the historical data is stored in a TD engine database by adopting an atomic storage strategy taking station + deviceid + measure as key values, and efficient query and atomic storage combination based on the Redis and the TD engine are realized through a unified API interface, so that the data display speed is greatly increased, and the data display efficiency is improved. The innovatively designed zero-code binding mechanism is based on a front-end data driving framework, and automatic binding of real-time acquisition variables, virtual variables and power monitoring display components can be completed without additionally developing an API (Application Program Interface).

The invention discloses a data right confirmation method based on subject and object binding and a data living body. The data right confirmation method comprises the following steps: data right confirmation based on subject and object binding; and behavior control is operated based on data bound by the subject and the object. Data right confirmation based on subject and object binding is realized through an active data object ('data living body 'for short), data rights such as data ownership and use right are clearly defined, and a technical means is provided for guaranteeing rights and interests of data subjects and effectively controlling data operation behaviors, so that safe circulation of data in a legal and compliant framework is ensured, and the data security is improved. Efficient circulation and reasonable utilization of data elements are guaranteed, data market vitality and resource allocation efficiency are improved, and robust development of digital economy and digital China is promoted.