494results about How to "Achieve security" patented technology

The invention provides a distributed power data asset management privacy protection encryption architecture design method, which comprises the steps of generating a watermark with robustness and imperceptibility by adopting a content-based digital watermarking algorithm according to statistical characteristics of power data assets, and storing a watermark embedding process and an extraction result through a blockchain; a graph-based data model is adopted, the electric power data assets carrying the watermarks serve as nodes, the data flow relation serves as edges, and an electric power data asset consanguinity graph is constructed; for distributed storage of the blood relationship map, a P2P network topology is constructed by adopting a block chain and a distributed hash table, and blood relationship map data is stored in each node of an alliance chain in a distributed manner; and verifying the digital watermark information embedded in all circulation path nodes through which the power data assets pass in the blood relationship map, calculating the similarity between the extracted watermark and the original watermark, calculating the distortion rate, and judging whether the power data assets are tampered or not.

The invention provides a firewall attacked surface carding and security reinforcing method, which comprises the following steps of: protecting sensitive data in each link of data flow in an identified supply chain, deploying a data leakage prevention gateway on a data flow link, and adopting deep packet detection of content awareness to carry out security reinforcement on the data flow link. Visualized presentation and security auditing of data flow behaviors are realized, and abnormal data flow is blocked and alarmed; the method comprises the following steps: constructing a security policy configuration knowledge base, mapping service description into a security policy component, automatically generating a fine-grained security policy matched with service semantics by adopting a policy generation engine based on combination of rules and deep learning, and realizing cross-scene policy conflict detection and correction by virtue of reasoning of a constructed knowledge graph.

The invention discloses a coal mine heat energy monitoring and cooling regulation and control method based on the Internet of Things, and relates to the technical field of coal mine heat energy monitoring and cooling regulation and control. The collected temperature data are transmitted to a central monitoring system in real time through an Internet of Things gateway; redundant temperature sensors are arranged at key positions, and data of the temperature sensors in the same area are regularly compared and verified. According to the invention, the monitoring robustness is improved through a redundant temperature sensor and a data fusion algorithm, a monitoring blind area caused by a single-point fault is avoided, and the accident risk is reduced; a self-adaptive learning algorithm is adopted to dynamically optimize a detection threshold value and a compensation strategy, so that the anomaly detection accuracy is improved, and false alarms and missing alarms are reduced; the temperature trend is pre-judged through a predictive control algorithm, cooling is conducted in advance, balance between safety and energy efficiency is achieved, overheating accidents are prevented, and energy consumption is reduced.

The invention provides a defect detection method for a metal code disc without coating, and relates to the technical field of information, and the method comprises the following steps: fusing an external geometric model of the metal code disc obtained by three-dimensional scanning with internal defect information of the metal code disc obtained by X-ray flaw detection, and constructing a three-dimensional model of the metal code disc containing internal defects; if a stress concentration phenomenon exists around the defect, carrying out stability analysis on the defect in the metal coded disc by utilizing a fracture mechanics theory, calculating a stress intensity factor at the tip of the defect, evaluating the risk of crack propagation of the defect under the action of external force, and determining the critical dimension and the safety margin of the defect; and obtaining a metal code disc defect distribution rule according to the internal defect information of the metal code disc, and carrying out optimization design on the structural layout and key dimension parameters of the metal code disc in combination with the metal code disc defect distribution rule and a safety evaluation criterion. The failure risk caused by internal defects of the code disc is reduced, and the use reliability and safety of the code disc are improved.

The invention discloses a container tracking management system and method. The method comprises the following steps: S1, carrying out dynamic encryption binding and multi-dimensional data acquisition on an RFID chip; s2, realizing real-time position data acquisition of the container under different environmental conditions through a multi-source signal fusion and error correction algorithm; s3, various sensor modules are installed inside and outside the container, and data processing is carried out through distributed edge nodes; s4, performing on-chain storage on total data generated in the transportation process through a Hash encryption algorithm, and realizing automatic data verification, state tracking and abnormity alarm in combination with an intelligent contract; s5, carrying out real-time dynamic modeling analysis on the transportation path and resource allocation, and dynamically adjusting the transportation plan by using a distributed scheduling strategy; and S6, integrating the real-time state data, the path optimization model and the transportation scheduling decision, and providing a report for a user. The method has the advantages of high positioning precision, high data security, high transportation efficiency and good real-time performance.

The invention relates to the technical field of data processing, and discloses an operation mode switching control method and device for an offshore wind turbine generator. The method comprises the following steps: carrying out model classification on historical operation data of a unit to obtain operation mode classification data and a characteristic parameter library; performing reinforcement learning analysis on the current state evaluation data and the short-term prediction data of the unit to obtain a target operation mode; performing fuzzy control processing on the target operation mode to obtain a mode switching strategy and a parameter adjustment sequence; performing multi-objective optimization and cooperative control analysis on the mode switching strategy and the parameter adjustment sequence to obtain accurate control signals of each actuator in the target offshore wind turbine generator; and generating an operation mode switching control strategy according to the accurate control signal of each actuator, and performing mode switching control on the target offshore wind turbine generator through the mode switching control strategy. According to the invention, the efficiency and accuracy of the operation mode switching control of the offshore wind turbine generator are improved.

The invention discloses a coronary artery patient exercise tolerance treatment management system based on a random control test, and relates to the technical field of coronary artery patient exercise tolerance treatment management, and the coronary artery patient exercise tolerance treatment management system comprises a scheme recommendation module and an effect feedback module, the scheme recommendation module comprises a data acquisition unit, a scheme recommendation unit and an archive management unit; the data acquisition unit comprises a physiological index monitoring device. According to the coronary artery patient exercise tolerance treatment management system based on the random control test, the exercise tolerance improvement condition of a patient in the treatment process is evaluated through the definite physiological indexes, exercise performance indexes and subjective feeling indexes of the effect feedback module; multi-dimensional evaluation is achieved, and the movement effect and the body reaction of the patient can be comprehensively known; the exercise scheme of the patient can be optimized and adjusted according to the evaluation result and the health file of the patient, and a preferred exercise scheme is generated.

The invention discloses a wireless communication network data secure transmission method and system, and relates to the technical field of secure transmission. During system operation, agricultural monitoring data are collected in real time through various sensor devices arranged in an agricultural environment, encryption processing is performed by using a symmetric encryption algorithm, and a dynamic key length adjustment mechanism is supported; a random number generator is integrated, unified management is performed on key generation, distribution, updating and destruction in a system, a timestamp or a random serial number is embedded into each data packet, the uniqueness of the timestamp or the serial number is verified at a receiving end, so that replay attacks are resisted, and the data are comprehensively analyzed and evaluated according to a set algorithm, so that the replay attack is prevented. The method comprises the following steps: acquiring a security data transmission performance index SDTP through calculation, generating a monitoring report, detecting abnormal conditions in a data transmission process, including channel quality reduction, data loss or verification failure, and providing a visual monitoring result.

The invention discloses an air conditioner fault diagnosis method and system based on multi-intelligent-field large model cooperation, and the method comprises the steps: inputting the equipment information and operation parameters of an air conditioner in a multi-mode form of voice, text or image, and converting the operation state information into text representation in a unified manner through a multi-mode conversion model; extracting the information of the text through the diagnosis agent and predicting the type of a potential fault; and finally, obtaining a corresponding fault reason and a disposal suggestion by utilizing the disposal agent. According to the method, callable professional tools in the field of air conditioner system fault diagnosis are introduced, and professional knowledge in the field of air conditioner fault diagnosis is provided for the disposal agent through retrieval enhancement, so that the problem that a general large model is insufficient in professionality in application in the field of air conditioner systems is solved, and accurate and reliable air conditioner system fault diagnosis is realized.

The invention discloses a disease prevention management and monitoring system design method based on an adaptive algorithm. The method comprises the following steps: S1, obtaining health data of a user; s2, performing feature extraction and fusion on the health data by using a hypergraph neural network; s3, constructing a disease risk prediction model based on the generative reasoning network, and introducing an anti-fact generation module to generate a health change hypothesis scene; s4, adaptively adjusting a personalized intervention strategy through a nested game model, and adjusting the intervention intensity in the first layer; s5, in the second layer, generating an optimized intervention combination strategy based on a Nash equilibrium driven multi-target adaptive game; s6, risk weighted scoring is carried out on the health data through a structured clustering algorithm, and a feedback event is generated; and S7, dynamically optimizing a disease prevention management strategy through a chained feedback mechanism, and managing node permission. According to the method, the self-adaptive algorithm is combined with the multi-layer game and the distributed anomaly detection, so that personalized disease prevention management and monitoring are realized.

The invention provides an inadvertent dynamic searchable encryption method, and relates to the technical field of information security, and the method comprises the steps: constructing a new Labeled PSI technology in combination with a VOLE technology based on a receiver processor and a sender processor in a bottom layer module, and obtaining an intersection Z of the two parties and a corresponding label; and in the application layer, the client and the server negotiate a database updating method together to dynamically update the database, and the client and the server negotiate a database searching method together to decrypt the document so as to complete encryption processing which can be searched for dynamically and accidentally. According to the invention, the security and efficiency of the dynamic searchable encryption technology are improved.

The invention discloses a battery material combination method and device and a computer storage medium, and relates to the technical field of new energy materials, and the method comprises the steps: generating one or more groups of candidate material combinations based on battery material data; extracting attribute features of the candidate material combination, and converting the attribute features into feature vectors; and inputting the feature vector into a pre-trained prediction model to obtain a performance prediction result of the candidate material combination. According to the method, the candidate material combination is generated, and the performance of the candidate material combination is predicted by using the prediction model, so that efficient screening and safety performance prediction of the battery material combination are realized, the research and development efficiency of the battery material is remarkably improved, and meanwhile, the selection range of the battery material combination is also expanded.

The invention provides an intelligent power grid safety early warning system and a monitoring method in the technical field of intelligent power grids, which are used for solving the problem of safety early warning and monitoring function defects of the existing imperfect intelligent power grids, and comprise an information acquisition unit, a data management unit, an abnormity analysis unit and a safety early warning unit, the method comprises the steps of collecting power grid real-time data and line equipment data; constructing an adjacent matrix and a target matrix, calculating and analyzing to obtain a node weight and a target correlation degree, and analyzing by using a discrete model to obtain a dispersion index; a data evaluation value is obtained, and a data abnormal value is obtained through analysis; and generating intelligent power grid safety early warning information and a disaster recovery strategy according to the data abnormal value and the line equipment data. By constructing an intelligent power grid monitoring and early warning system, power grid equipment with potential safety problems is predicted in real time, the operation and maintenance efficiency is improved, the method can be suitable for power grid systems of different scales, the influence of faults on power grid operation is reduced, and large-area power failure events are effectively prevented.

The invention discloses an unmanned aerial vehicle assisted Internet of Vehicles cross-domain authentication method based on a block chain and federated learning, and the method comprises the steps: initializing an Internet of Vehicles system, and generating system initialization common parameters; the vehicle and the unmanned aerial vehicle complete identity registration with the control center, and the vehicle performs login verification; and respectively carrying out initial authentication and cross-domain authentication on the vehicles which are successfully logged in and verified, guaranteeing the communication security through key negotiation, and completing the cross-domain authentication of the unmanned aerial vehicle assisted Internet of Vehicles. According to the method, the reliability and the security of data in the cross-domain authentication process are realized, the privacy of the data is improved, relatively low calculation and transmission overhead in the cross-domain authentication process is realized, and the authentication efficiency is improved.

The invention relates to a power data federated learning privacy protection method based on efficient homomorphic encryption. The method comprises the following steps: step 1, a client initializes a neural network model; step 2, the server side encrypts and updates local neural network model gradient parameters uploaded by the client side; 3, the server side executes gradient average aggregation operation, the server side does not need to decrypt, the encrypted gradient parameters uploaded by the client side are directly calculated, an average value is solved, and therefore global gradient parameters are updated; step 4, after each client receives the updated global gradient, carrying out decryption calculation operation; 5, loading the updated weight parameters of the neural network model into a local neural network model, and performing neural network model training by using a local data set; the problems that an existing encryption technology is large in operand, large in computing resource overhead and low in algorithm efficiency, and privacy leakage exists in the transmission and analysis process of power data can be solved.

The invention discloses an Internet of Things authentication method and system, and relates to the technical field of Internet of Things. The system comprises a quantum machine learning behavior analysis module, a multi-factor authentication module, a block chain and intelligent contract module, an edge computing authentication processing module, a self-adaptive authentication strategy and risk assessment module, a privacy protection and data desensitization module and a cross-platform interoperation module. According to the invention, the security, efficiency and flexibility of the Internet of Things authentication system are significantly improved, so that the system can efficiently identify abnormal behaviors of equipment, effectively prevent potential security threats, significantly reduce authentication delay, and improve the response speed and user experience of the system. Therefore, the problems existing in the aspects of safety, authentication efficiency and expandability of a traditional authentication method are solved, and a safer, more efficient and more extensible authentication mechanism is provided for the Internet of Things equipment.

The invention discloses an Internet of Things service management system based on regional digital economy, and relates to the technical field of data processing. The Internet of Things service management system based on regional digital economy comprises a data minimization and anonymization module, an end-to-end encryption module, an access control and identity authentication module, a data security and auditing module and a security management and response module, and the data minimization and anonymization module is used for collecting personal sensitive information data; the end-to-end encryption module is used for encrypting a personal sensitive information data transmission process; the access control and identity authentication module is used for multi-factor authentication; the data security and audit module is used for protecting personal sensitive information data; and the security management and corresponding module is used for dynamically adjusting security policies and measures according to the privacy security state evaluation value. The problem that in the prior art, as the number of devices increases, more and more personal data are collected, and once sensitive data are integrated and analyzed, personal privacy may be exposed is solved.

The invention discloses an energy storage optimal configuration method and system for improving the short-circuit ratio of multiple new energy stations, and the method comprises the steps: building a power grid simulation digital model comprising a plurality of new energy stations, and determining the selected range of the new energy stations; calculating the short-circuit ratio of each new energy station in the selected range; determining the capacity configuration and access position scheme of energy storage which can be accessed by each new energy station; based on the short-circuit ratio, the energy storage capacity configuration and the access position scheme of each new energy station, determining an energy storage configuration scheme of each new energy station meeting the short-circuit ratio requirement; based on the power grid security constraint, determining an energy storage configuration scheme meeting the power grid security constraint; and determining an energy storage configuration scheme meeting the economical efficiency requirement based on the economical efficiency requirement objective function.

The present invention relates to the technical field of foundation pit support, and discloses a foundation pit support monitoring and early warning system, including a software model system, an on-site support system, a deformation monitoring system, a safety early warning system and a graphic digital display system, and also discloses a foundation pit support monitoring and early warning method, including the following steps: S1, geological data input; S2, soil model establishment; S3, support structure model establishment; S4, support structure on-site arrangement; S5, deformation monitoring establishment; S6, safety early warning establishment. The present invention uses a reinforcement method of geological data input, soil model establishment, support structure model establishment, support structure on-site arrangement, deformation monitoring establishment and safety early warning establishment, thereby dynamically monitoring the foundation pit through the combination of the model and the work site, thereby comprehensively reflecting the influence of various factors on the support structure and the stress and displacement of the axonal soil in space and time, and realizing the safety during the excavation of the foundation pit.

The invention relates to the technical field of government affair Internet of Things, and discloses an Internet of Things service data encryption and privacy protection method and device, and the method comprises the steps: collecting real-time data items from government affair Internet of Things equipment through a wireless sensor network through the Internet of Things technology to form a government affair data set, and carrying out the encryption processing; calculating and evaluating the sensitivity delta f of each data item in the government affair data set and a query result corresponding to the data item through a differential privacy algorithm, and adding random noise according to the sensitivity delta f and a privacy budget epsilon, and performing government affair service efficiency, government affair anomaly monitoring, government affair demand prediction and government affair complaint risk prediction analysis on the government affair data set added with the random noise by adopting a machine learning algorithm, providing data service for an analysis result through an API (Application Program Interface), and dynamically adjusting the sensitivity delta f, the privacy budget epsilon and the adding degree of the random noise according to an evaluation result. While data security and government affair privacy are guaranteed, data analysis efficiency and accuracy are improved, government affair management is optimized, and adaptability and expandability are achieved.

The invention discloses an educational digital identity authentication method of a distributed heterogeneous system based on a block chain, and relates to the technical field of block chains, an identity information set and an educational system information set are pre-collected and stored by using an asymmetric encryption algorithm, an identity standardization model is constructed based on the identity information set and the educational system information set, and the educational digital identity authentication method of the distributed heterogeneous system based on the block chain is established. Based on an identity standardization model, identity data of registered personnel is managed by using an intelligent contract, cross-chain data sharing is performed on the identity data by using homomorphic encryption and differential privacy technologies, and cross-chain verification is performed by using a decryption key of homomorphic encryption and a private key of an asymmetric encryption algorithm, so that the security and transparency of the data are greatly improved.

The invention relates to a shadow rocket launch control terminal, method and system, and belongs to the technical field of shadow rocket launch control, the launch control terminal comprises an identity authentication module, an operation information acquisition module, an operation control module, a launch control module and an operation log module; through whole-process management of identity authentication, data acquisition, attitude adjustment, state detection, ignition control and operation logs, safety, accuracy and data traceability of rocket launching operation are realized. Wherein the identity authentication ensures the safety of the operation authority, the data acquisition provides real-time information support for posture adjustment and state detection, the posture adjustment and the safe firing range judgment ensure the accuracy and the safety of launching, and the ignition control ensures that the launching is carried out under authorization; the recording and uploading of the job log enable the emission operation to have complete data record and traceability. The automation degree and reliability of figure rocket launching are improved.

The invention belongs to the technical field of data storage, and particularly relates to a storage method and system of nonvolatile data, which realize high efficiency and safety of dynamic data storage by distributing at least two Flash pages for data storage, writing a basic information block into the head of each Flash page and associating a key value information block for each data object. According to the method, the length of the data entry can be dynamically adjusted, the problem that data may be lost when power failure occurs in the read-write process is solved through the strategy of writing first and erasing second, and meanwhile the purpose of prolonging the service life of Flash is achieved through dynamic management of the data entry and reasonable scheduling between pages.

The invention discloses a network security communication system and method based on a national commercial cryptographic algorithm, and belongs to the field of information security communication, and the system comprises a management module which achieves the management of system data, and comprises the management of user login information and the obtaining of login information; data management of key maintenance is used for storing public key information of a user, the server is allowed to have the permission to modify and delete the public key information, and other clients have the reading permission; the encryption and decryption module is used for performing information encryption and signature, signature verification and decryption on the message and the file; the communication module is used for transmitting messages and files; and calling an encryption module to encrypt and sign the message and the file, and verifying and decrypting the signature. According to the network security communication system and method based on the national commercial cryptographic algorithm, the security communication system is designed and realized by adopting a domestic encryption algorithm SM2 / SM3, and the security, integrity and non-repudiation of transmission data are realized by combining an SM4 symmetric encryption algorithm.

The invention relates to the technical field of network security, in particular to a network security digital substitute protection method and system, and the method comprises the following steps: monitoring and recording network activities in real time based on a data stream from a railway network, including an equipment state and communication abnormity, analyzing normal and abnormal network behavior modes through employing an LSTM network, extracting behavior characteristics, and carrying out the protection of the network security digital substitute. And establishing a network virtual copy. According to the invention, by monitoring the data flow of the railway network in real time and recording the equipment state and the communication abnormity, the network security dynamic state is effectively captured, the instant response capability to the abnormal behavior is improved, the LSTM network is utilized to analyze and extract the behavior characteristics of the complex network, the analysis of the complex data mode is enhanced, the efficient identification of unknown threats is ensured, and the security of the network is improved. Through the automatic behavior deviation identification configuration and the emergency response instruction set, potential threats can be quickly and accurately handled, the probability of network security accidents is reduced, efficient risk management is realized, and the security performance of a railway network is greatly improved.

The invention provides a territorial space planning implementation monitoring network CSPON platform security system and method and a medium. The system comprises a space planning network platform entry module, a territorial space planning picture selection module and a picture downloading processing and downloading module. The space planning network platform entering module is used for entering a space planning network platform; the territorial space planning picture selection module is used for selecting territorial space planning pictures after entering the space planning network platform; and the picture downloading processing and downloading module is used for downloading the selected territorial space planning picture after carrying out picture downloading processing on the selected territorial space planning picture. According to the invention, the security of downloading the territorial space planning picture selected in the space planning network platform can be realized.

The invention relates to unified data backup and disaster recovery equipment, in particular to the field of data security, and specifically comprises a data backup module, a disaster recovery module and a recovery verification module, the data backup module is used for carrying out data fragmentation on data needing to be backed up, then carrying out Hash processing on each data block by utilizing a Hash function, distributing each data fragment to a plurality of backup nodes, registering a Hash value of the data fragment on a block chain by the backup nodes, and storing the Hash value on the corresponding backup node; in the storage process, a smart contract is utilized to manage data backup operation according to a preset rule, and by utilizing the characteristics of decentralization and non-tampering provided by a block chain technology, security guarantee of data backup can be realized in backup and disaster recovery, the problems of security and consistency of traditional centralized backup are solved, and data backup efficiency is improved. And through a block chain technology, distributed storage of the data can be realized, and it is ensured that the data is not tampered in a backup process.

The invention provides a battery box locking mechanism and a vehicle. The battery box locking mechanism comprises a first guide part, a second guide part arranged on a battery and at least one locking part arranged on a battery bracket. And the second guide part comprises a second guide plate pivoted on the battery bracket and a first elastic piece propped against the second guide plate. The first guide part is provided with a first guide plate, the first guide plate and the second guide plate are oppositely arranged and define an inverted-splayed open groove, when the battery box moves downwards, the second guide plate pivots relative to the battery bracket, and the first elastic piece is compressed to store energy. The locking part comprises a locking seat, a first driving part connected to the locking seat, and a locking rod connected to the power output end of the first driving part. The locking seat is provided with a locking groove, the battery box is provided with a guide rod matched with the locking groove, and the first driving part drives the locking rod to abut against the guide rod so as to limit displacement of the battery box. According to the invention, the alignment accuracy during replacement of the battery box can be realized, and the clamping stagnation phenomenon is avoided.

The invention relates to a power-down protection method, device and equipment for an intelligent storage high-computing-power industrial control chip, and the method comprises the steps: monitoring the power supply voltage of the industrial control chip in real time, generating a power-down signal when the power supply voltage is lower than a preset voltage threshold range, reading the task processing data of a current computing task, and pausing the current computing task; starting a ping-pong power failure protection mechanism according to the power failure signal, storing task processing data in a preset main and standby data storage area in a segmented manner, and generating a data check code; performing data synchronization on the main and standby data storage areas and a preset nonvolatile memory based on the data check code to obtain backup data, and generating a synchronous check code; when the power supply voltage recovers to accord with the voltage threshold range, performing data reading on the nonvolatile memory according to the synchronous check code to obtain backup data; and performing data recovery on the backup data according to the data check code, and restarting the current calculation task. According to the invention, chip data loss caused by sudden power failure can be avoided.

The safe storage cabin comprises a main monitoring system, a heat dissipation fire fighting system and a cabin body, a plurality of energy storage electric cabinets are stored in the cabin body, and a main energy storage converter, a main transformer and an electric cabinet management system which are connected with the energy storage electric cabinets are fixedly arranged in the cabin body; the cabin body is provided with a cabin door, the cabin door is provided with a display panel and a cabin body management server, and the cabin body management server is electrically connected with a valve of the fire sprinkler, the main monitoring system, the main energy storage converter, the main transformer, the electric cabinet management system, a control mechanism of a roller shutter type fireproof blanket in the heat dissipation fire extinguishing system and the display panel; the main monitoring system transmits detected signals to the cabin management server, the cabin management server controls the operation states of the roller shutter type fireproof blanket, the fire sprinkler, the main energy storage converter, the main transformer and the electric cabinet management system according to the received signals, operation data are displayed through the display panel, large-scale management of the energy storage electric cabinet is achieved, and the energy storage electric cabinet management efficiency is improved. The energy storage cost is reduced, and the space utilization rate is improved.