216results about How to "Ensure data security" patented technology

The invention relates to the technical field of ore conveying, and discloses an intelligent mine ore conveying management system, which comprises a deep reinforcement learning scheduling module used for realizing optimal scheduling through a deep reinforcement learning algorithm based on an ore conveying equipment state, a conveying path condition and ore queue information; the digital twinning system is used for creating a digital twinning model of the conveying equipment and carrying out multi-physics field simulation, real-time data synchronization and state prediction so as to manage the full life cycle of the equipment; and the edge calculation module is used for carrying out data acquisition, real-time processing and lightweight AI reasoning on a mine site so as to realize equipment anomaly detection and early warning. By introducing deep reinforcement learning scheduling, digital twinning, edge computing and block chain data management technologies, adaptive optimization scheduling, accurate state monitoring and fault prediction of the ore conveying system are realized, an efficient safety protection and intelligent user interface is provided, and the operation efficiency, reliability and safety of the system are improved.

The embodiment of the invention discloses an RAG data query method and device based on privacy protection, equipment and a medium. The scheme can comprise the steps of obtaining a data query request provided by a query party; obtaining target data from the database based on the data query request; processing the target data by adopting a large model of a model party according to a preset privacy protection mode to obtain a query result; the preset privacy protection mode is used for preventing the target data from being leaked to the model party; and feeding back the query result to the query party.

The invention discloses an intelligent online monitoring device for a transformer, and relates to the technical field of transformers. The intelligent on-line monitoring device for the transformer comprises a front-end acquisition layer, a data transmission layer, a data processing and analysis layer, a cloud monitoring and management layer and an emergency response layer, through the deployment of the high-precision sensor network and the edge computing nodes, the system can accurately collect and process the operation data of the transformer in real time, and the monitoring accuracy and efficiency are improved. And secondly, the data transmission layer adopts a self-adaptive communication protocol and a data encryption technology, so that real-time and reliable transmission and security protection of the data are ensured, and meanwhile, traceability and tampering prevention of the data are realized by utilizing a block chain technology. In the data processing and analysis layer, the system realizes intelligent early warning and continuous optimization of transformer data through an integrated learning and deep learning model, and improves the accuracy and reliability of early warning. And the emergency response layer is arranged, so that the system can quickly respond to faults.

The embodiment of the invention provides a data transmission method, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring timestamp information and to-be-encrypted transmission data; according to an HKDF key derivation algorithm, a first dynamic derived key is determined according to the timestamp information and a first identifier of a sending end device; performing encryption processing on the to-be-encrypted transmission data according to the first dynamic derived key to obtain target encrypted data; and sending the target encrypted data, the timestamp information and the first identifier of the sending end equipment to the receiving end equipment. According to the embodiment of the invention, a dynamic encryption scheme based on an HKDF key derivation algorithm is used for protecting end-to-end authentication and transmission and storage data encryption, the deployment project amount is simplified, and meanwhile, the data transmission and storage security is ensured.

The invention relates to the technical field of electricity transaction, in particular to an hour-level green electricity transaction matching method and system considering a green certificate transaction blockchain, and the method comprises the following steps: S1, data collection and preprocessing: collecting the power generation operation data of a green electricity supplier and the power utilization behavior data of a user, preprocessing the collected power generation operation data and power consumption behavior data; s2, constructing a green certificate block chain: constructing a green certificate transaction platform based on a block chain technology, and recording green certificate transaction information; s3, establishing a matching model: constructing a multi-objective optimization model, and integrating multiple factors to carry out transaction matching; s4, transaction execution monitoring: after successful matching, executing the transaction and performing real-time monitoring; s5, transaction settlement evaluation: performing settlement and evaluation after the transaction is completed; according to the invention, the efficiency of green electricity transaction and the satisfaction degree of users and suppliers are effectively improved, and efficient utilization of green electricity resources and vitality improvement of the energy market are realized.

The invention relates to the technical field of data transmission, and discloses a USB interface management and control method and device for information security protection, and the method comprises the steps: recognizing a USB connection state, collecting the information of a to-be-connected device, and carrying out the identity verification; collecting a historical transmission task of the to-be-connected equipment, extracting a historical task index, and determining the available capacity of a transmission channel; a real-time transmission task is collected to determine real-time structure information and real-time content information, a transmission risk value is determined, and whether the available capacity of a transmission channel is adjusted or not is judged; when the adjustment is judged to be carried out, collecting a characteristic index, comparing the characteristic index with a historical adjustment scheme, and determining an adjustment coefficient according to a comparison result to adjust the available capacity of the transmission channel; and communicating the to-be-connected equipment with the workstation by using the adjusted available capacity of the transmission channel. According to the method, the information security protection capability is enhanced, and potential safety hazards and fault risks are reduced through resource scheduling and risk management.

The invention discloses a case data analysis system based on a large model, and the system comprises a data collection module, a preprocessing module, a large model training and optimization module, an analysis module, a visualization and interaction module, a security and privacy protection module, a data preprocessing module with an innovative algorithm, a large model training module with an adaptive learning rate formula, and a disease risk prediction module with an evaluation formula. System functions and performance indexes are clear, equipment and medium requirements are clear, the steps of the method are complete, and high efficiency, accuracy and safety of case data analysis are guaranteed; the case data processing efficiency and accuracy are improved, and powerful support is provided for medical decision making. A large model is accurately analyzed, visual and convenient to check, and a security module guarantees data privacy. The medical quality can be improved, the treatment scheme can be optimized, and the method has important application value.

The invention relates to the technical field of communication adjustment, and discloses a communication system and method for diabetes outpatient service user management, and the system comprises an acquisition module which is configured to acquire real-time communication data of a plurality of communication devices in a diabetes management system; and the judgment module is configured to obtain network parameters of each communication device, and is further configured to determine a communication fluctuation value according to a relationship among the historical communication data. The prediction module is configured to predict a communication performance change trend of each communication device in a preset time period based on the long short-term memory network, and generate a prediction threshold. The control module is configured to dynamically adjust the communication path according to the relation between the real-time communication fluctuation value and the prediction threshold value. The encryption module is configured to dynamically encrypt the adjusted communication path and data. The communication efficiency of diabetes outpatient service user management can be improved by collecting the communication data in real time, predicting the performance change trend, dynamically adjusting the communication path and encrypting the protection data.

The invention discloses an outdoor high-precision intelligent electric meter, belongs to the technical field of intelligent electric meters, and provides the following scheme that the outdoor high-precision intelligent electric meter comprises an intelligent electric meter body, heat dissipation structures are arranged on the two sides of the intelligent electric meter body, and air inlet structures are detachably installed on the heat dissipation structures; the intelligent electric meter body and the air inlet structure are detachably installed in the electric meter box, an adjusting assembly and a pushing assembly for driving the adjusting assembly are arranged in the air inlet structure, and a driving assembly for adjusting the pushing assembly is arranged on the intelligent electric meter body; through the arrangement of the air inlet structure, the adjusting assembly and the pushing assembly, if the communication hole is configured to be inverted T-shaped, external natural air is effectively guided into the air gathering cover and then smoothly flows into the mounting shell through the air inlet pipeline and the guide pipe, uniform and effective air cooling heat dissipation is carried out on the side wall of the intelligent electric meter body, and therefore the operation stability of the intelligent electric meter body is remarkably improved, and the service life of the intelligent electric meter body is prolonged. And the high precision of the intelligent electric meter body during operation is ensured.

The invention discloses a data exception identification method and device, computer equipment and a storage medium, and belongs to the technical field of big data. Firstly, to-be-processed data is extracted, and the to-be-processed data is decomposed into a plurality of data point sets through a data segmentation technology; then, a risk assessment model of a plurality of preset isolated trees is adopted, the model is composed of the isolated trees with the number equal to that of the data point sets, and each tree is abandoned to specially process one data point set; by calculating the path length of the data points in each isolated tree, the isolation degree of the data points is evaluated, and a corresponding score is generated. And finally, according to a preset abnormal score threshold, automatically identifying an isolated tree with abnormally high isolation degree, and judging the corresponding data point set as an abnormal data point set. The invention further relates to the technical field of block chains, and the data stream is stored on the block chain node. According to the method, the advantages of data decomposition and the multi-isolated tree model are effectively combined, accurate identification of data exception is realized, and the data processing efficiency and accuracy are improved.

The invention relates to the technical field of computers, in particular to a multi-tenant permission control method and device and a storage medium, and the method comprises the steps: obtaining related information of a target business system; configuring a system identifier for the service system; each tenant in the business system is respectively configured with a tenant identifier for isolation, so that tenant information of the corresponding tenant is pulled through the tenant identifier; and allocating the target service role to a target user in the target tenant, pulling user permission information corresponding to the target service role based on a tenant identifier corresponding to the target tenant, and allocating a corresponding permission to the target user according to the user permission information. According to the scheme, the complex permission requirements of different service systems, different tenants and different users in the tenants can be met, the flexibility and efficiency of permission management are improved, the permission data of the service systems and the permission data of the tenants are stored in an isolated mode, and the data safety and privacy between applications and the tenants are ensured.

The invention discloses a data transmission method and device, a medium and equipment. And acquiring the acquired remote sensing data. A random number is determined, and a symmetric key of the symmetric cryptographic algorithm is determined based on the random number. And determining data summary information of the remote sensing data, and performing digital signature on the data summary information according to the satellite private key. And encrypting the digitally signed data summary information, the remote sensing data and the satellite public key through the symmetric key to obtain encrypted data. And asymmetrically encrypting the symmetric key through a public key of the ground base station to obtain an encrypted key. And forming a data packet by the encrypted data and the encryption key, and sending the data packet to a ground base station, so that the ground base station decrypts the encryption key in the data packet according to a private key of the ground base station to obtain a symmetric key, and decrypts the encrypted data through the symmetric key to obtain remote sensing data.

The present invention discloses a high-precision smart meter for outdoor use, which belongs to the technical field of smart meters. The following scheme is proposed, which includes a smart meter body, heat dissipation structures are arranged on both sides of the smart meter body, an air intake structure is detachably installed on the heat dissipation structure, the smart meter body and the air intake structure can be detachably installed inside the meter box, an adjustment component and a pushing component for driving the adjustment component are arranged inside the air intake structure, and a driving component for adjusting the pushing component is arranged on the smart meter body; by arranging the air intake structure, the adjustment component and the pushing component, if the connecting hole is configured in a ⊥ shape, the external natural wind will be effectively guided to the inside of the wind collecting cover, and then smoothly flow into the inside of the installation shell through the air intake duct and the conduit, so as to implement uniform and effective air cooling and heat dissipation on the side wall of the smart meter body, thereby significantly improving its operating stability and ensuring the high precision of the smart meter body during operation.

The invention relates to the technical field of image processing, and discloses a transparent and restorable face anonymization processing method and system, and the method comprises the steps: obtaining to-be-anonymized original face images, extracting initial identity features from the original face images through a face feature extractor, and generating a group of keys for each original face image; constructing a reversible neural network, inputting the identity features and the secret keys belonging to the same original face image as a group of input data into the reversible neural network, performing affine transformation through the reversible neural network, and finally generating anonymized identity features controlled by the secret keys; and inputting the original face image and the anonymized identity features into a pre-trained generator so as to generate an anonymized face image. According to the method, the application requirements are fully met, and the dual goals of data security and privacy protection are ensured.

The invention discloses a trusted system for realizing digital asset right confirmation through an agricultural block chain technology, and belongs to the technical field of computer programs. User data verification, data storage, data right confirmation, data cleaning (redundancy), data comparison and data classification operations are realized in a distributed bookkeeping mode, data storage in a data lake is realized, the stored data is subjected to ownership certification, data distribution of digital asset right confirmation is carried out on the data (group) subjected to right confirmation certification, and data distribution is carried out on the data (group) subjected to right confirmation certification. A verification algorithm proves ownership, use right and management right of data assets, ownership confirmation of the data is achieved, traceable trace information is generated, and records generated in the test process comprise the whole process node of user operation. The core algorithm adopts the most advanced computer algorithm model to build the whole system in the aspects of safety, data intelligent classification, data cleaning and data right confirmation, and it is ensured that the trust of a user to the system in the using process reaches 100%.

The invention relates to the technical field of data analysis, and discloses an early myocardial injury monitoring system based on medical internet of things. The system comprises: a quality control module, which treats a peripheral blood sample based on immunochromatography and analyzes a detection result; the extraction module completes data structuring and integrates the data with biomarker data; the encryption module realizes secure data transmission; the classification module performs labeling classification and standardization processing; the evaluation module executes risk evaluation and space-time analysis; and the grading module grades the early warning data and feeds back and stores the data. Early accurate monitoring of myocardial injury is achieved, disease change is found in time, risk early warning is carried out, and therefore the out-of-hospital medical treatment delay time is shortened.

The invention relates to the technical field of artificial intelligence, in particular to a voice braking method, which allows a user to customize a braking triggering sound according to personal preference and driving habits, the voice can be a clear voice instruction or a specific voice feature, such as scream or shouting, so that the flexibility and applicability of the method are improved; sound features in emergency situations such as screaming and shouting are deeply analyzed, and a more accurate sound feature model is established; therefore, the method can quickly respond when a driver or a passenger makes an emergency sound characteristic, the emergency braking response time is shortened, the probability and severity of accidents are reduced, and the problem that in the prior art, an emergency braking mode mainly depends on a physical sensor and the operation behavior of the driver, and the safety is poor can be effectively solved. The technical problems that the potential information source, namely the sound characteristics of people in the vehicle, is not fully utilized for braking, so that the information source is limited, and the emergency braking response is lagged are solved.

The invention discloses a data processing method and device, equipment and a storage medium. The invention belongs to the technical field of data processing. The method comprises the steps that first mapping encryption data sent by a data query party are received, the first mapping encryption data are data obtained after first encryption query data of the data query party are processed through a Hash mapping algorithm, and the first encryption query data are data obtained after non-plaintext query data are processed through homomorphic encryption and a pseudo-random function; matching the first mapping encryption data with the second mapping encryption data in each data storage space of the N data storage spaces to obtain N matching results; and according to the matching result, the encrypted query data corresponding to the matching result and the encrypted label data corresponding to the matching result, constructing N query feedback results which are sent to the data query party and are used for determining the query label data. In this way, ciphertext processing is adopted in the whole interaction process of the two parties, it is guaranteed that data of the data query party and the data provider are available and invisible, and the data security of interaction of the two parties is improved.

The invention discloses an experimental equipment management system based on LoRaWAN, and aims to solve the problems of resource allocation conflicts, low data transmission efficiency and the like in laboratory equipment management. The system comprises an equipment control unit, a LoRaWAN communication unit, an electric energy monitoring unit, a user interaction display unit, a remote reservation management platform, a gateway and server unit and a firmware management and upgrade unit. A differential packet is generated by using a BSDIFF algorithm, and an LZ77 compression algorithm is combined, so that the transmission data volume of the system is effectively reduced; meanwhile, the gateway dynamically adjusts the size of a data block according to the network quality, and adopts a frame insertion strategy to embed upgrade data in a service data transmission gap; and after the terminal node receives and verifies the differential packet, new firmware is generated to replace old firmware, so that remote efficient updating is realized under the condition of ensuring normal use of equipment. The laboratory equipment management system greatly improves the management efficiency and stability of laboratory equipment, and is suitable for equipment management scenes of various scientific research laboratories.

The invention belongs to the technical field of data management, and particularly relates to a management and control method and system for government affair data asset security and a storage medium, and the method comprises the steps that S1, a management and control module divides complete government affair data into a first part of government affair data and a second part of government affair data, and stores the converted first part of government affair data in a central module, storing the converted second part of government affair data in a backup module; s2, the management and control module obtains a data set of the central module corresponding to a past time period, and first data sets and second data sets of different client modules; and S3, the management and control module inputs the feature map data and a second data set of different client modules corresponding to a past time period into an analysis model together, the analysis model outputs codes of suspicious client modules, and the management and control module also generates analysis data according to the codes of the suspicious client modules. According to the method, the government affair data can be prevented from being leaked, tampered and abused.

The embodiment of the invention provides a car insurance risk assessment method and device based on artificial intelligence, equipment and a medium, and belongs to the technical field of artificial intelligence and the technical field of financial science and technology. The method comprises the steps that vehicle basic risk information of a target vehicle is acquired through a vehicle insurance safety calculation node, a vehicle owner consumption information acquisition request is generated according to the target vehicle, and the vehicle owner consumption information acquisition request is sent to a consumption safety calculation node; in response to the vehicle owner consumption information acquisition request, target vehicle owner consumption information is acquired through the consumption safety calculation node, target vehicle owner consumption feature information is generated according to the target vehicle owner consumption information, and the target vehicle owner consumption feature information is sent to the vehicle insurance safety calculation node; and starting the target machine learning model through the vehicle insurance safety calculation node, and performing vehicle insurance risk assessment on the vehicle basic risk information and the target vehicle owner consumption feature information through the target machine learning model. According to the embodiment of the invention, the accuracy of vehicle insurance risk assessment can be improved, and the data security is ensured.

The invention provides an intelligent dialogue method and system, and belongs to the technical field of artificial intelligence. The method comprises the steps of obtaining local feedback data based on question key data and a local knowledge base; wherein the question key data is obtained by analyzing the captured question information; performing network retrieval according to the question key data to obtain network feedback data; when it is determined that a similarity test result between the local feedback data and the network feedback data meets a preset condition, question answer data is generated based on the local feedback data and the network feedback data; and inputting the question answer data into the large language model for adjustment to obtain feedback information for answering the question information. Therefore, when the large language model is applied to some special industry fields, the data security of the local knowledge base can be fully ensured, the situation of confidential information leakage is avoided, and the purpose of analyzing and processing user problems in some special industry fields is achieved.

The invention discloses a data aggregation system, method and device, electronic equipment and a storage medium. The method comprises the steps that an aggregation platform applies for a first symmetric key from a password service platform; encrypting a pre-acquired encryption parameter by using the first symmetric key to obtain first encrypted information; the gateway management equipment applies for a first symmetric key and a second symmetric key; decrypting the first encrypted information by using the first symmetric key to obtain an encryption parameter; encrypting the encryption parameter by using a second symmetric key to obtain second encrypted information; the gateway applies for a second symmetric key; decrypting the second encrypted information by using the second symmetric key to obtain an encryption parameter; performing secret segmentation calculation based on the encryption parameters to obtain corresponding secret shares; the gateway management equipment aggregates the secret shares to obtain an aggregation result; and the aggregation platform reconstructs the aggregation result to obtain a secret value. In this way, data security and privacy protection between participants are ensured.

The invention relates to the technical field of urine component screening, provides a urine component screening device and method, and aims to solve the problems of incomplete result interpretation and low efficiency in shopping malls, schools and other public places, the device integrates a data acquisition module and a sensor array, and multi-parameter synchronous monitoring is realized; a preset norm is operated through the data processing module, classification early warning and health suggestions are automatically generated, the data synchronization module transmits results to a mobile device or a cloud system, and a user can check the results at any time; according to the system and the method, the detection efficiency and the interpretation speed are improved, the health management is promoted, the monitoring cost is reduced, and the data security is guaranteed.

The invention provides a power supply fan system and a server, and the system comprises a power supply unit which is provided with a power supply fan; the synchronous brake is movably contacted with the power supply fan; wherein the synchronous brake and the power supply unit share a circuit, or the synchronous brake and the power supply fan share a part of rotation path; when the power supply fan rotates forwards, the synchronous brake is separated from the power supply fan; and before the power supply fan rotates reversely or when the power supply fan starts to rotate reversely, the synchronous brake is clamped with the power supply fan. The synchronous brake utilizes a pure mechanical braking principle, so that the action of the synchronous brake is always consistent with the state of the power supply fan, and quick intervention can be realized before the power supply fan reverses or just reverses. When the PSU breaks down or the power supply fan stops rotating, the synchronous brake responds immediately, braking is carried out before the fan rotates reversely, transmission and processing of electronic signals are not needed, the response speed is higher, and preventive protection is achieved.

The invention discloses a holographic intelligent building energy-saving operation and maintenance management system based on a BIM model, and particularly relates to the technical field of data transmission, and the system comprises a building information model building module, a real-time information collection module, a holographic image module, an analysis module, a quality judgment module and an encryption module. The building information model establishing module is used for establishing a BIM model; the real-time information acquisition module collects data and transmits the data to the holographic image module; the holographic image module generates a dynamic holographic image; the analysis module monitors and preliminarily analyzes the data transmission quality; the quality judgment module calculates a delay kurtosis index and a packet loss probability skewness index and generates a data comprehensive quality coefficient; the encryption module is used for determining a confidentiality level and encrypting data; according to the invention, the timeliness and reliability of the data are ensured, the high expectation of a user is met, the stable and reliable service is ensured to be provided by real-time monitoring and dynamic encryption, and the balance relationship between the real-time performance and the reliability of data transmission is better established.

The invention discloses a discrete manufacturing multi-view BOM dynamic derivation method and system based on a tree-shaped network structure, and belongs to the technical field of intelligent manufacturing and product data management. The method comprises the following steps: constructing a tree body as a single product data source, and storing a hierarchical relationship, attribute definition and engineering semantics of a product in a tree structure; based on the tree body, dynamically matching derivation rules through a mesh mapping relation library; executing rule matching, semantic verification, structure reconstruction and dictionary verification by utilizing a dynamic view derivation engine to generate a target BOM view; semantic constraint and verification are carried out on the derivation process through a BOM data dictionary module; and realizing access control and audit based on role, scene and data sensitivity through the security and authority control module. According to the method, a new generation of xBOM dynamic derivation architecture which takes a tree form as an ontology, takes a net form as mapping, is configurable in rule and is strong in data specification is constructed; the fundamental problem of discrete manufacturing multi-view BOM management is solved, and engineering rationality and service flexibility are both achieved.

The invention relates to the technical field of high-voltage dry-type reactive power compensation, and discloses an underground mining high-voltage dry-type reactive power compensation device. Comprising a dry-type iron core filter reactor module, a high-voltage self-healing parallel capacitor module, an intelligent measurement and control protection integrated module, a heat dissipation dustproof adaptive adjustment module, a high-voltage insulation wiring terminal group, a fault positioning and early warning module and a remote monitoring communication module. All the modules are integrated into a whole through modular design. According to the invention, a modular integrated design is adopted, each functional module is uniformly arranged in the mining explosion-proof shell to form a uniform grounding loop, the shell meets the explosion-proof standard, the protection grade reaches IP65, and the high-grade insulation design of each module is matched, so that the underground high-dust, high-humidity and explosive environment is effectively adapted; the problems that a traditional device is large in potential safety hazard and poor in adaptability are thoroughly solved, and the safety and reliability of the device are remarkably improved.

The invention provides a data distribution method and device and a data receiving method and device, and relates to the technical field of big data, and the method comprises the steps: reading data required by at least one client from a database according to a preset data preprocessing timed task, and preprocessing the data required by each client, the data pre-processing timed task is used for indicating the server side to regularly extract the data and pre-process the data; according to a preset encryption algorithm, encrypting the processing data of each client to obtain encrypted data of each client, and caching the encrypted data in a local cache space; and in response to a data downloading request initiated by any one or more clients, extracting the corresponding encrypted data from the local cache space, and distributing the encrypted data to the clients. According to the method, the problem that the transaction efficiency is low or the application response is slow due to the fact that the client pulls data from the server for multiple times can be effectively solved.

The invention discloses a data processing method and device, a storage medium and electronic equipment. When the electronic equipment is in an encryption mode, if an authorization process of a virtualization framework is started to obtain target encrypted data, a target secret key of the target encrypted data is obtained from the virtualization framework through the authorization process, and the virtualization framework comprises a secret key of the corresponding encrypted data; and decrypting the target encrypted data based on the target secret key through the authorization process to obtain target decrypted data. The data security in the electronic equipment can be ensured.