207results about How to "Guaranteed traceability" patented technology

The invention relates to the technical field of food storage management, in particular to a food storage management system, which comprises a data acquisition layer, is composed of a plurality of devices and is used for acquiring food, environment and user operation data; the data transmission layer transmits data by using wired and wireless network technologies; the data storage layer stores various types of data in combination with a relational database and a non-relational database; the data processing layer comprises a plurality of functional modules, such as an intelligent warehousing management module, and is used for realizing automatic input verification and batch management of food information; the intelligent ex-warehouse management module is used for optimizing ex-warehouse sequence and tracking food directions; the expiration and waste management module is used for carrying out expiration reminding and surplus value evaluation; the data analysis and purchase optimization module is used for predicting demands and analyzing loss; and the dish and inventory association module is used for matching the dish formula and the inventory and predicting the sales allocation inventory. The system improves the management efficiency, reduces the waste, optimizes the purchase decision, enhances the dish and inventory association management, guarantees the system safety, and provides data support to assist the decision.

The invention relates to the technical field of data synchronization, and discloses a distributed account book remote data synchronization method and system, and the method comprises the steps: carrying out the Hash mapping calculation of all nodes of a distributed account book system, and obtaining a distributed storage architecture; performing hierarchical network construction on the nodes, and setting an inter-region remote synchronization link and an intra-region local synchronization link to obtain a double-layer communication architecture; performing parallel compression coding, digital signature generation, transmission scheduling arrangement and consistency verification processing on the data blocks to obtain a node synchronous data set; calculating a correlation coefficient of node processing delay and network transmission delay to obtain a synchronous delay analysis model; based on a data block corresponding to the synchronous delay analysis model, adding a time sequence identifier and calculating an integrity check code, and generating a synchronous reliability guarantee mechanism; according to the method, the consistency and the traceability of the distributed account book data are ensured.

The invention provides a cross-platform low-code application development system based on a Flutter framework. Comprising a login registration module, a project management module, an interface design module, a state management module, a route management module, a team management module, a help document module, an AI page design module, a development document generation module, a hardware integration module, a code generation module, a multi-user collaborative development module, a communication module, an online simulator module, an AI generation application module and an interface management module. An asset management module, a developer forum module, an application market module and an application packaging module. The communication module supports various communication protocols and secure transmission modes, and ensures that data exchange applied to cross-platform and cross-system environments is secure and reliable. Through component dragging and graphical configuration, the low-code platform automatically analyzes configuration data to generate an App, a development document and a source code. And meanwhile, multi-person collaborative development is supported, so that the development threshold is reduced and the development speed is increased.

The invention discloses a blockchain and homomorphic encryption-based power data privacy protection method and system, and belongs to the technical field of power data privacy protection, and the method comprises the steps that a data provider encrypts power data by using Paillier homomorphic encryption, uploads a ciphertext hash value to a blockchain, carries out the digital signature of a ciphertext, divides a key, and carries out the encryption of the key; enabling each data demander to receive the ciphertext, the signature and the key fragment; and the data demander performs cooperative decryption after performing data source and integrity verification to obtain a plaintext. Through distributed storage of a key sharing scheme, the security of the key is remarkably improved, single-point faults are avoided, the fault tolerance of the whole system is improved, and the flexibility of data transaction is optimized; for a mass data transaction process, the encryption and decryption efficiency is improved, the data processing speed and performance are improved, the real-time performance of data transaction is ensured, the resource consumption is reduced, and the user experience is improved.

The invention provides a financial information management method and system based on a block chain technology. The method comprises the following steps: receiving a financial transaction request initiated by a user, and performing hash operation on a data block to generate a hash value of the data block; based on the hash value and identity verification information of the user, generating an encrypted signature by using an improved elliptic curve digital signature algorithm, and binding the transaction time of the preliminary transaction proposal with the encrypted signature by using a timestamp service; broadcasting the data block corresponding to the preliminary transaction proposal and the encrypted signature to a plurality of nodes by using a distributed network so as to determine an effective financial transaction; and linking the data blocks corresponding to the effective financial transactions to a preset block chain according to a time sequence and a logic relationship based on a Merkle tree structure, and regularly checking the consistency and integrity of data on the chain. The financial information management method which is high in safety, cannot be tampered and is traceable can be provided, and the safety of financial transactions is improved.

The invention provides an irradiation prediction method for irradiated goods, and the method comprises the steps: optimizing irradiation parameters according to an irradiation uniformity evaluation result, including adjusting irradiation time, irradiation intensity and an irradiation mode, and obtaining an optimal irradiation parameter combination through an iterative optimization method; according to the optimized irradiation parameters, an irradiation scheme including irradiation time, irradiation intensity and an irradiation mode is made, the irradiation scheme is input into an irradiation equipment control system, and the irradiation process is automatically executed; and carrying out sampling detection on the goods after actual irradiation, measuring irradiation doses at different positions in the goods, evaluating an actual irradiation effect, verifying the accuracy of a simulation model and optimization parameters, and correcting the simulation model and an optimization algorithm according to a verification result.

The invention provides an insulating part defect identification method based on a synthetic aperture ultrasonic imaging technology, which belongs to the technical field of ultrasonic defect identification, and comprises the following steps: step 01, setting parameters of an ultrasonic transducer to enable the ultrasonic transducer to emit ultrasonic waves, and attaching the ultrasonic transducer to the surface of a detected insulating part; 02, connecting the ultrasonic sensor with an acquisition card, and acquiring real-time echo data by using acquisition software; step 03, importing the data into data processing software for data processing, and performing defect imaging by applying an imaging algorithm; and step 04, performing defect analysis and positioning on the formed ultrasonic image. According to the method, the accuracy, reliability and practicability of defect detection of the insulating part are remarkably improved, and more effective technical support is provided for quality control in the industrial field. Due to the automatic and intelligent characteristics of the system, the detection efficiency is greatly improved, the uncertainty caused by human factors is reduced, and the system has remarkable practical value and popularization significance.

The invention relates to the technical field of water affair management, and discloses a modularization-based intelligent water affair light application rapid building system, which comprises a template library management module, which is used for storing and managing a plurality of preset function templates, and each function template is used for executing a specific function in water affair management; the parameter configuration module communicates with the template library management module and is used for performing parameterization configuration on the selected function template according to user requirements, and the parameterization configuration comprises data source configuration, operation parameter setting and output option selection; and the system combination and deployment module is used for combining the function templates subjected to parameterization configuration into a complete application system, and deploying the application system into a running environment through a containerization technology and a Kubernetes arrangement tool. Through modular design and template library management, the system can be rapidly configured and deployed according to different water affair management requirements, the construction time of the system is greatly shortened, and the system adapts to rapidly changing business requirements.

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 relates to the field of digital archives, in particular to an alarm information processing method and system based on a block chain technology. A traditional monitoring system mainly carries out real-time monitoring according to data of a sensor and gives an alarm, and data may be tampered, so that emergency response and afterward responsibility investigation and determination work are affected; the invention aims to provide the alarm information processing method and system based on the block chain technology for a scene that alarm data is easy to tamper in the field of safety production, the method is improved on the basis of the existing Internet of Things technology, the block chain technology is added into the alarm processing system, and the alarm information processing efficiency is improved. The non-tampering and traceability of the data are realized based on the block chain technology, the integrity and transparency of the data are comprehensively considered in the risk monitoring process, the data security can be ensured, and the data security can be ensured for storing and tracing complete and real alarm notification and disposal process records. And powerful evidence support is provided for responsibility investigation and responsibility determination of subsequent accidents.

The invention discloses a block chain Filecoin data analysis platform, which is characterized in that user data is stored on a plurality of nodes in a distributed manner by utilizing a decentralized storage characteristic of a Filecoin network, and the tampering resistance and security of the data are ensured through encryption and a consensus mechanism of a block chain; according to the method, an efficient block chain transaction processing and data analysis algorithm is adopted, a data analysis task is automatically executed through an intelligent contract, the use of data transmission and computing resources is optimized, and the efficiency of data processing and analysis is greatly improved; the advanced encryption technology is adopted to perform end-to-end encryption on the data, and a strict access control strategy is implemented to protect the privacy and security of the user data; all operation records and data analysis results of the platform are recorded on the block chain, so that the transparency and traceability of an analysis process are ensured, the analysis results cannot be tampered and can be verified, and the trust of a user to the analysis results is enhanced.

The invention relates to the technical field of reinforcing steel bar node reinforcement, in particular to a modular reinforcing steel bar node reinforcement method, which comprises the following steps: S1, carrying out field investigation and node analysis, recording the conditions of the existing node, including the diameter, spacing and corrosion degree of a reinforcing steel bar, carrying out accurate measurement by using a laser scanner, and simulating the stress state of the node by using ANSYS or SAP2000; determining positions and degrees of nodes needing to be reinforced; s2, standardized modularized steel bar assemblies are designed and machined, the steel bar materials are HRB500, the specifications are 12 mm, 16 mm and 20 mm, the module width is 300 mm, the length is 500 mm, standardized connectors are connected through bolts or quick connecting plugs, the size error is controlled to be + / -1 mm, epoxy coating or hot galvanizing is adopted for rust prevention treatment, and the coating thickness is larger than or equal to 100 micrometers; s3, a node area needing to be reinforced is cleaned, a surface rusted and loosened concrete layer is removed, and a structural layer is exposed; the modularized steel bar assemblies and the standardized construction process are adopted, the construction efficiency is improved, and the site construction period and the labor cost are reduced.

According to the basketball shooting training system and device based on intelligent image analysis, the hand detection module, the gesture key point detection module, the hand shape analysis module, the shooting track simulation module, the intelligent feedback generation module, the data management module, the user interaction interface module and the like are integrated, and the system analyzes hand actions of a trainer through videos, detects joint points and compares the hand actions with standard gestures; according to the device, the hand shape difference is evaluated, a physical simulation algorithm is utilized, a basketball flight path is simulated according to a hand shape analysis result, hit rate prediction is provided, an intelligent feedback module generates personalized training suggestions according to a simulation result and historical data, and the whole device helps trainees to optimize shooting skills and improve the training effect through real-time data and visual feedback.

The invention relates to the technical field of industrial enterprise carbon data management, and discloses an industrial enterprise supply chain carbon footprint economic accounting and management method for a dual-carbon target, and the method comprises the steps: selecting and obtaining a public high-frequency economic agent signal based on a technical premise that core factors for driving industrial product price and carbon emission intensity have homology, dynamically correcting the static reference emission factor through a relevance conduction model; according to the method, a public economic signal is utilized to avoid a traditional mode of relying on static lagging data, the technical problem that the real dynamic state of the carbon intensity of the supply chain cannot be sensed is solved, and the real dynamic state of the carbon intensity of the supply chain can be sensed. The almost real-time carbon risk situation sensing ability of an enterprise is improved, and passive bookkeeping after carbon management is engaged is converted into active intervention fused into daily business.

The invention relates to a multi-module software hierarchical authorization management method and device and computer equipment. The method comprises the following steps: matching storage information of a top management terminal in a superior authority management file with storage information of a distributed operation terminal; if the matching result is successful, using the superior administrator account to set an intermediate administrator account on the electric power equipment engineering simulation calculation platform according to the intermediate administrator role authority demand information; distributing the intermediate authorization file from the superior administrator account to an intermediate administrator account; setting a subordinate administrator account by using an intermediate administrator account according to the role authority demand information of the subordinate administrator; distributing the lower-level authorization application file from the middle-level administrator account to the upper-level administrator account to generate a lower-level authorization file; and the superior administrator account distributes the subordinate authorization file from the superior administrator account to the subordinate administrator account through the intermediate administrator account. The software use efficiency can be improved, and then the software use and operation efficiency of an enterprise is improved.

The invention discloses a locomotive brake detection performance determination method, and the method comprises the steps: employing a vehicle-mounted device on a locomotive to collect dynamic data generated in a brake test process in real time, and the dynamic data comprise air cylinder pressure, pipeline pressure, a brake handle position signal and other operation related parameters; the collected dynamic data are preprocessed, a test standard curve set is constructed in combination with historical test data, and the standard curve set is classified and stored according to the locomotive model and the brake model. According to the invention, a standard test data set is constructed based on a large amount of test data of locomotives and brakes of different models, feature extraction and fitting analysis of dynamic data are realized in combination with a feature sampling algorithm, a least square fitting algorithm and a multiple linear regression model, and through comparison of a fitting curve and a standard test curve, a dynamic test result is obtained. The system automatically judges the normalization and integrity of the operation, and subjective errors and omissions of manual analysis are avoided.

The invention discloses a fine-grained access control method of an intelligent lighting system combining CP-ABE and a block chain, and the method comprises the following steps: initialization: carrying out the initialization of the CP-ABE through an attribute authorization mechanism, and generating a public key and a master key of the CP-ABE; key generation: the user generates a private key of the attribute of the identity by using the audited attribute of the identity, the public key and the master key, and a single user can have a plurality of different private keys; data encryption: formulating an access rule, and encrypting the data to generate an encrypted file of a file suffix bit CP-ABE after a data owner formulates the access rule; the user stores the chameleon hash value of the ciphertext file, the access control strategy of the ciphertext file and the path of the IPFS on the IPFS where the ciphertext file is located to block chain data; the method has the advantages of high safety, high accuracy and the like.

The present invention relates to medical image data security technology, and discloses a medical image data security management method and system based on blockchain, which includes: a server creates a blockchain database, selects an image file, the server generates an image ID for the received image file, calculates the image fingerprint, and stores the blockchain database; uploads the image file to the image cloud database, and uploads the block address to the image cloud record; retrieves the image from the image cloud database or generates an image access record, and stores the blockchain database; updates the blockchain database according to the Merkle tree; and sends the updated content to other hospitals. The present invention stores the image fingerprint and the image access record of the blockchain database, thereby verifying whether the image has changed through the image fingerprint. By storing the image access record, while realizing image data sharing, it ensures that the image data cannot be tampered with and the access record is traceable.

The invention relates to the technical field of riverway desilting, in particular to a riverway self-adaptive desilting system and method based on intelligent water level perception, and the method is executed by a central control unit and comprises the four steps of model construction and benchmark calibration, real-time monitoring and siltation diagnosis, precise survey and operation planning and closed-loop execution and model synchronization. The system comprises a central control unit, a water level intelligent sensing array, terrain scanning equipment and dredging machinery, according to the method, the three-dimensional digital riverbed model is constructed, the sedimentation state is dynamically judged in combination with the water level sensing data, an accurate desilting operation scheme is generated, and operation closed-loop control is achieved. According to the method, navigation and ecological riverway dredging requirements are considered, the dredging precision and automation level are improved, the operation cost is reduced, intelligent transformation of riverway management is promoted, and an efficient solution is provided for long-acting treatment of the riverway.

The utility model discloses a measuring device. The measuring device comprises a base used for being installed on a measuring platform; the near end of the joint arm is connected to the base, and the far end of the joint arm is provided with a measuring device for the measuring device to move in the space so as to align to a point to be measured for measurement; the main control device is arranged on the base and comprises a power supply management unit which is provided with a battery and is powered by the battery when no external power supply exists, and a main processing unit which is electrically connected to the power supply management unit and is dormant when no external power supply exists; and the detection unit is electrically connected with the power supply management unit and the main processing unit so as to awaken the main processing unit to record an acceleration event when the acceleration event is detected. According to the measuring equipment disclosed by the invention, low-power-consumption work under the condition of no external power supply access such as transportation or carrying can be realized, acceleration events can be recorded, and the impact condition in the transportation or carrying process can be traced while energy consumption is saved.

The invention discloses an industrial control asset risk identification method and system based on semi-supervised anomaly detection, and relates to the technical field of network security, and the method comprises the steps: obtaining related asset information through combining active scanning, passive scanning and log detection, and extracting asset feature flow based on the related asset information; performing flow anomaly detection on the asset characteristic flow by using a semi-supervised anomaly detection model, and updating asset data characteristics with abnormal flow; and performing feature traffic hash value matching and feature library comparison on the updated asset data features, then judging whether the asset information has a vulnerability risk, and judging the risk level of the asset. According to the method, an asset change monitoring function is added on the basis of risk asset identification, asset change can be sensed, and a data basis is provided for abnormal flow analysis; moreover, offline updating of the feature library of the risk asset identification system is realized, and the real-time performance and traceability of asset data are ensured.

The invention discloses an intelligent demand analysis and man-hour evaluation method and system, and belongs to the technical field of computer vision and artificial intelligence. Analyzing the multi-modal demand document containing the text, the picture and the table to generate structured demand data; based on the structured demand data and the system module description, performing module-level splitting on the demand to generate a module task set; retrieving an associated system implementation context for each task in the module task set based on a multi-dimensional knowledge base; fusing the structured demand data, the module task set and the system implementation context to generate a fine-grained technical task; based on a historical case index, calculating reference working hours for the fine-grained technical task; and cross-module cooperative correction and personalized correction based on the ability of the task executor are sequentially performed on the reference working hours to obtain final evaluation working hours, so that automatic deep analysis and accurate and personalized working hour evaluation of software requirements can be realized.

The invention discloses a Linux-oriented vulnerability repair verification method and system and a medium. The method comprises the steps of creating a test application form for a CVE vulnerability patch in a task management system, preparing a test environment for CVE vulnerability repair verification as well as a required test table, a software source and a test strategy file, and calling a tool interface to automatically trigger an assembly line; the assembly line executes the test suite in the test environment based on the test table, the software source and the test strategy file and collects an execution state, and if the execution state is failure, automatic retry can be carried out on the CVE vulnerability based on manual triggering; and finally, generating a report file, writing a verification result for the test application form in the task management system, and if the verification result is that verification is passed, issuing a service pack of the CVE vulnerability. The invention aims to realize efficient, traceable and extensible Linux vulnerability repair verification, realize full automation and intelligence of the vulnerability verification process, and improve the accuracy, traceability and expandability of verification.

The invention provides a green power data multi-source heterogeneous convergence and tamper-proof accounting authentication method and system, and relates to the technical field of power, and the method comprises the steps: obtaining green power related data from a plurality of data sources, carrying out the standardization processing of the data, generating a digital signature through employing an elliptic curve cryptographic algorithm, and constructing a tamper-proof storage network based on a block chain technology. And performing data cleaning and anomaly detection by adopting a deep learning model, establishing a power balance model to calculate the actual green power consumption amount, generating an accounting report, and uploading the accounting report to a block chain network for evidence storage. According to the method, safe and credible convergence and accounting authentication of the green power data are realized, and the efficiency and reliability of green power management are improved.

The present application relates to the technical field of network security, and more particularly to a cloud platform vulnerability real-time quantitative analysis system based on a dynamic knowledge graph, which comprises a multi-source heterogeneous data acquisition unit, a dynamic knowledge graph construction unit, a vulnerability quantitative evaluation unit, an intelligent response disposal unit and a visual verification unit.The vulnerability quantitative evaluation unit identifies the possible propagation path of the vulnerability through an improved weighted breadth-first search algorithm, and introduces a real-time relationship weight and a path attenuation mechanism.The present application can improve the accuracy of vulnerability propagation path identification and the accuracy of risk level quantification by generating dynamic relationship edge weights through a real-time weight calculation module, combining a path attenuation processing module to adjust the weight of long-term non-vulnerability propagation correlation, and cooperating with the weighted breadth-first search algorithm to identify the vulnerability propagation path, thereby effectively solving the problem that traditional risk assessment relies on static parameters and is easily disturbed by invalid paths.

This invention discloses an individual motion behavior analysis system based on dynamic modal configuration and rule-guided fusion, belonging to the fields of intelligent perception, sports science, and human-computer interaction. It includes a data input module, a dynamic modal organization and configuration module, a multimodal feature modeling and fusion module, an indicator-level evaluation and behavior state prediction module, a statistical rule-guided analysis and result correction module, and a structured result generation and output module. These modules work together to form a complete closed loop for motion behavior analysis technology. This invention aims to address the problems in existing motion behavior analysis technologies, such as limited dimensionality of single-modal information, rigid multimodal fusion methods, insufficient stability and interpretability of analysis results, and strong dependence on large-scale manually labeled data.

The invention discloses an environment laboratory field sampling supervision system, method and device and a medium, and the system comprises an instrument management module which is used for carrying out the information management and remote instruction control of a sampling instrument; the sample bin module is used for performing automatic sampling in cooperation with a sampling instrument, performing real-time monitoring and displaying on a sample storage environment and performing real-time positioning on a sampling site; the field monitoring module is used for acquiring environment information of a sampling point where the sampling instrument is located in real time, acquiring state information of the sampling instrument in real time and storing the acquired information; the data management module is used for providing data communication support; the remote center module is used for building a visual monitoring interface to perform multi-source information display on the sampling task; according to the invention, full-process monitoring and data management can be carried out on field sampling, the accuracy and traceability of sampling data are ensured, the quality control of field sampling is improved, the field labor cost is reduced, and the sampling work efficiency and accuracy are improved.

The invention discloses a supply chain full-process traceability tracking method based on a block chain, and relates to the technical field of block chain and supply chain traceability, and the method comprises the specific steps: collecting supply chain node identity qualification basic information, and carrying out the structural processing; generating a unique initial dynamic chain code by using an encryption algorithm, and storing the unique initial dynamic chain code in a main chain after binding the unique initial dynamic chain code with qualification information hash; integrating the collected data into traceability data and checking node identities and chain codes; after the verification is passed, the traceability data is bound with a chain code for the second time, and a timestamp is added for chaining; updating the chain code according to the service state, adding an identifier to the old chain code and permanently storing the identifier; according to the invention, a rigorous node identity authentication system is constructed, so that the credibility of a traceability subject is guaranteed, and identity and qualification data can be traced and verified in the whole process; multiple terminals collect data cooperatively, completeness and timeliness are ensured through multiple associations, chain code dynamic update adapts to service changes, and data association continuity is ensured; the whole-process mechanism effectively solves the problem of traditional traceability data splitting.

The invention discloses a flexible manufacturing-based DPA component matching method, which comprises the following steps of: establishing a DPA component requirement catalog, establishing a management database, and creating catalog entries for each component needing DPA detection; the method comprises the following steps: establishing DPA components, and creating a corresponding DPA component for each basic component needing to execute DPA detection in enterprise product bill of material structure management; the method comprises the following steps: establishing a corresponding relation between a DPA component requirement directory and a component, establishing a mapping relation between a DPA requirement directory and a DPA component, triggering to generate or call a corresponding DPA component demand according to the mapping relation, and realizing automatic conversion from a detection requirement to a specific execution material; and establishing a matched operation system, and integrating the system into a manufacturing execution system or a material demand planning module of an enterprise resource plan. According to the method, automatic identification of DPA detection requirements, intelligent matching of detection materials and accurate accounting of related cost can be realized.

The present application discloses a method and management system for merging alarms of power distribution equipment, the method comprising: constructing an alarm relationship matrix according to the causal relationship between the alarm types of the power distribution equipment; when a new alarm occurs in the power distribution equipment management system, querying the alarm relationship matrix according to the alarm type of the new alarm, wherein all alarm types that can trigger the new alarm are the parent alarm types of the new alarm; querying whether the parent alarm type exists in the unprocessed alarm message in the power distribution equipment management system: if it exists, merging the alarms according to the alarm occurrence time of the parent alarm type and the relationship between the parent alarm occurrence time and the new alarm occurrence time, after the alarms are merged, the alarm notification of the new alarm is absorbed by the parent alarm type. The method has a fast parent alarm query process, and the merging logic is clear and simple, which greatly improves the processing speed, effect and system scalability of alarm merging, and can meet the requirements of the power distribution management system for alarm merging.