29results about How to "Achieve transparency" patented technology

The invention discloses a special first-aid medicine and article storage and distribution construction system and method. The system comprises an Internet of Things module, a multi-subject cooperation module, an inter-hospital cooperation module, a cloud computing platform module, a block chain module, an intelligent scheduling center module, a storage network module and an emergency response module. The method comprises the steps of 1, demand integration and joint purchase; step 2, storage network construction and inventory optimization; step 3, intelligent scheduling and path planning; 4, emergency response and cross-mechanism deployment are carried out; 5, whole-process tracing and data uploading are carried out; step 6, performance monitoring and continuous optimization; according to the invention, a special first-aid medicine and article storage and distribution construction system is designed, and standardized data interaction and close cooperation among medical institutions, suppliers and logistics enterprises are realized by establishing a multi-subject cooperation mechanism such as joint purchase, inventory sharing, emergency allocation and performance monitoring. The joint purchasing module gathers the purchasing demands of the medical institutions in the region.

The invention discloses an enteral nutrition information management method and system based on artificial intelligence, and relates to the technical field of medical artificial intelligence, and the method comprises the steps: carrying out the forward reasoning of an intestinal function-clinical decision fusion feature vector through an artificial intelligence decision model, obtaining a decision probability distribution vector, and carrying out the optimization and integration in combination with a clinical constraint condition, generating a nutrition intervention parameter set; performing decision basis analysis on the nutrition intervention parameter set, calculating each feature contribution degree, mapping each feature contribution degree into a natural language description fragment, and generating an enteral nutrition AI decision traceability report; and performing clinical research and judgment on the nutrition intervention parameter set and the enteral nutrition AI decision traceability report to generate an enteral nutrition clinical decision execution scheme. According to the method, the contribution degree of each feature is calculated and mapped into the natural language description fragment, the enteral nutrition AI decision traceability report is generated, transparency and interpretability of an artificial intelligence decision process are realized, and trust and adoption efficiency of an intelligent result are enhanced.

The invention provides an SPI (Serial Peripheral Interface) communication method and system based on double GPIOs (General Purpose Input / Output) and a storage medium, in the method, two GPIOs are added to respectively transmit two states of'transmission ready 'and'data ready' to form a double notification mechanism, so that the state of a slave device is transparent to a master device, and the master device can intelligently dispatch and transmit; according to the invention, the capability of actively initiating transmission by the slave device is realized, bidirectional cooperative communication is completed, the slave device immediately prepares the next frame of data (even empty frame) and actively pulls up the first GPIO signal line after each SPI transmission is finished, so that the slave device is always in a real-time online state, the waiting time of the master device is greatly reduced, and the transmission efficiency of the slave device is improved. Communication delay is converted from'preparation time 'to nearly pure'transmission time', and the bus utilization rate and the system response efficiency are greatly improved.

The invention relates to the technical field of fuel intelligent management and control, and particularly discloses a sampling and processing integrated automatic control method and system based on batch management. The method comprises the following steps: firstly, creating a full-process dynamic data file with a unique identifier ID for each batch of materials; in the sampling link, a sample is bound with the intelligent container, and the multi-dimensional identity features are associated; in the sample processing process, operating parameters are collected in real time and compared with a preset standard, and the process confidence coefficient of the data file is dynamically calculated and updated; during sample circulation, bidirectional ID verification is carried out through a handshake request, decision making is carried out in combination with the process confidence coefficient, and subsequent equipment is authorized to be started only when verification is passed and the confidence coefficient is higher than a safety threshold value; when the sample is segmented, the data file is also split and completely inherits historical information. Through active inquiry and dynamic evaluation, forced consistency of physical samples and digital information in the whole process is realized, and the reliability of quality detection results is ensured.

The invention relates to the technical field of cutting, detecting, hole separating and plate arranging, in particular to an automatic cutting, detecting, hole separating and plate arranging equipment system which comprises a discharging module, a mold hole number detecting module, a cutting module, a visual detecting module, a code printing module, a code scanning module, a plate arranging and sorting module and a control module. Wherein the discharging module is used for automatically feeding a material belt, the mold cavity number detection module is used for identifying a product mold cavity number, the cutting module is used for cutting a product PIN, the visual detection module is used for PIN quality detection and positioning, the code printing module is used for product marking, and the code scanning module is used for reading and identifying code information. The wobble plate sorting module is used for classifying and wobbling products according to mold cavity numbers; the control module is used for coordinating the working process of each module and integrating intelligent algorithms to optimize production parameters; full-process automation is achieved, manual intervention is greatly reduced, the production takt is improved, the method is suitable for large-scale continuous production, and the production efficiency and the automation level are improved.

The invention discloses a cultivated land reserve resource investigation and evaluation method and system based on a convolutional neural network, particularly relates to the technical field of remote sensing image processing and cultivated land resource evaluation, and is used for solving the problem that an evaluation result is not accurate due to the fact that a preceding stage segmentation error is transmitted and amplified by a backward stage in a cascaded convolutional neural network. By identifying non-cultivated land transition zone pattern spots in the remote sensing image, a boundary fuzzy region is accurately positioned by adopting a fractal dimension change rate and optimal transmission cost distance dual-threshold judgment criterion; secondly, extracting a feature activation track of a transition zone pattern spot in the convolutional network, and establishing an error propagation weight coefficient calculation model; then, combining a boundary channel response value and a weight coefficient to generate a weighted feature offset, and constructing an error compensation mask; and finally, through pixel-level fusion of a mask and a post-level feature map, a terrain gradient and a connection degree evaluation index are corrected, an error transfer effect of a cascade architecture is significantly inhibited, and the reliability of a cultivated land reserve resource grading result is improved.

The embodiment of the present specification provides a kind of decision graph atlas graph data generation method and device.The method is executed by computer, comprising: reading first graph data from first storage area, wherein it includes the first node corresponding to the event attribute of first type business event.Several rules scripts are read from second storage area, rule script defines several decision rules, each decision rule includes identification field and expression field;Any variable included in the expression field of any decision rule is one of several event attributes or the identification value of the identification field of other decision rules.Through parsing rule script, determine second graph data, wherein it includes: parsing expression field obtains the dependent relationship between decision rule and event attribute and between each decision rule;Second graph data includes the second node corresponding to several rules, and the connection edge generated according to dependent relationship.Further, based on first graph data and second graph data, generate the graph data of decision graph atlas.

The invention discloses an Internet of Things tariff rule making method, device and equipment and a medium, which are applied to a block chain network comprising a plurality of consensus nodes, and the consensus nodes at least comprise an operator node, an enterprise client node and a supervisor node. The Internet of Things tariff rule making method comprises the following steps: in response to a tariff rule proposal request of an operator node, storing a target tariff rule in a block chain network; based on a consensus mechanism of the block chain network, each consensus node performs consensus decision on the target tariff rule, and marks the target tariff rule as an effective rule after reaching a consensus; and in response to a charging event of the Internet of Things equipment, calling an intelligent contract deployed on the block chain network to execute charging logic based on the effective rule, and generating a charging result. Multi-party consensus making and tampering-free publicity of the tariff rule are realized through the block chain smart contract, and transparency and credibility of the making process of the tariff rule of the Internet of Things are realized.

The invention belongs to the technical field of medical services, and particularly relates to an artificial intelligence-based accompanying person and patient matching system, which comprises a user terminal, an accompanying terminal, a cloud server and an artificial intelligence matching module, and is characterized in that the user terminal, the accompanying terminal, the cloud server and the artificial intelligence matching module are connected through signals; the artificial intelligence matching module is embedded into the cloud server, comprises a demand analysis sub-module, an ability portrait sub-module and a matching decision sub-module, and is used for analyzing user demands, constructing an accompanying person ability model, calculating a matching priority and providing a basis for order pushing; through an AI intelligent analysis and bidirectional interaction order grabbing and sending mechanism, accurate and efficient matching of patient demands and accompanying personnel service capabilities is realized.

The application belongs to the technical field of unmanned aerial vehicle communication, and particularly relates to an unmanned aerial vehicle communication system based on IPv6 multi-homing and multi-path transmission. The system configures independent IPv6 addresses for multiple heterogeneous links of the unmanned aerial vehicle, establishes a binding relationship between the links and the addresses, and generates a service session identifier; address-level state vectors are generated by periodically collecting link state parameters and associating the link state parameters with the IPv6 addresses; the available IPv6 addresses are comprehensively scored based on the state vectors, and the sending proportion of each address is determined according to the service category, so that data fragments are bound to different IPv6 source addresses and sent in parallel; when the link deteriorates, address-level degradation and rapid traffic switching are performed without changing the session identifier; the receiving end uniformly recombines the fragments from the multiple addresses according to the session identifier and the fragment sequence number, and delivers the fragments to the upper layer application. The application improves the communication throughput, stability and continuity of the unmanned aerial vehicle in a multi-link environment.

The invention relates to the technical field of diatom ooze decorative plates, in particular to a fireproof and antibacterial diatom ooze decorative plate and a preparation method thereof.The fireproof and antibacterial diatom ooze decorative plate comprises a base material layer, a decorative layer and a fireproof and antibacterial coating which are sequentially arranged from bottom to top; the fireproof and antibacterial coating comprises the following raw materials in parts by weight: 3-6 parts of nano silicon dioxide, 6-10 parts of methacryloyloxyethyl hexadecyl dimethyl ammonium chloride, 20-30 parts of 2-hydroxyethyl methacrylate phosphate, 5-10 parts of [(6-oxo-6H-dibenzo [C, E] [1, 2, 3] triazolo [3, 4-b] pyrimidine-2-yl)-1, 2, 3-triazolo [ The invention relates to a UV (ultraviolet) photoinitiator, which is prepared from the following components in parts by weight: 10 to 20 parts of 2, 2] oxophosphahexane-6-yl) methyl] succinic acid bis (2-hydroxyethyl) ester, 80 to 100 parts of polyurethane acrylate resin, 3 to 5 parts of photoinitiator and 20 to 40 parts of organic solvent. According to the fireproof and antibacterial diatom ooze decorative plate and the preparation method thereof, on the premise of ensuring the mechanical strength, the fireproof and antibacterial diatom ooze decorative plate not only has an excellent decorative effect, but also has fireproof performance and antibacterial performance at the same time.

The embodiment of the invention provides an intelligent server assembling method and device, electronic equipment and a storage medium, and is used for the technical field of Internet of Things. The intelligent server assembly method comprises the following steps: updating an offline simulation model and an online simulation model according to a model structure data set and synchronously acquired real-time state data flow, and performing multi-objective optimization on a mixed production task through the offline simulation model according to received service parameters to obtain a candidate resource allocation data set, and evaluating and screening the candidate resource allocation data set through the online simulation model to obtain optimal resource allocation data, and performing conflict detection and routing planning on the optimal resource allocation data according to the space-time resource constraint set to generate a server assembly adjustment instruction sequence. According to the method, through multi-source real-time perception, candidate generation through offline simulation, online proxy rapid screening and space-time resolution and closed-loop execution, optimal resource allocation and high-precision traceability in the mixed line assembly production process are achieved.

The invention provides a social robot detection method based on uncertainty driving and agent dynamic arrangement, electronic equipment and a storage medium. The method comprises the following steps: obtaining a standardized data packet to be detected; calculating behavior entropy and detection uncertainty based on the to-be-detected data packet, and generating an agent activation signal; initializing a detection agent; outputting an accumulated evidence set based on the detection agent; converting the evidence set into a weighted undirected graph in a graph structure form; outputting a binary detection conclusion based on the weighted undirected graph; calculating a key evidence set; and obtaining a social robot detection conclusion based on the binary detection conclusion, the final abnormal risk score and the key evidence set. According to the method, behavior entropy and detection uncertainty are introduced as triggers, samples with low uncertainty are quickly intercepted or released only by using an extremely low-cost statistical rule, and intelligent agents are activated only for ambiguous samples with high uncertainty for deep detection, so that self-adaptive cost reduction and benefit increase of good steel applied to the cutting edge are realized.

The invention relates to the technical field of medical data processing, in particular to a disease quality control marking system based on a heterogeneous mixed mode, which comprises a data access and preprocessing module, a unified feature space quality control module, a mixed marking guide module, a marking execution and arbitration module and an integrated output module, wherein the data access and preprocessing module is used for accessing original data of a target disease from a heterogeneous data source; the unified feature space quality control module is used for generating corresponding preliminary quality control suggestions; the mixed annotation guiding module is used for forming mixed annotation guiding information; and the annotation execution and arbitration module is used for generating an arbitrated annotation result according to a preset arbitration rule. According to the disease data labeling method and system, standardization, controllability and traceability of the disease data labeling process are achieved by constructing a unified feature expression, guided labeling execution and structured arbitration decision mechanism, and the consistency and quality control precision of labeling results are effectively improved.

The control method applied to the batch control system provided by the embodiments of the present specification sets a corresponding graphical device selection strategy for the production node in the batch production process to describe the device selection logic in a graphical manner. Compared with the pure text or code method, the graphical presentation enables the complex logic conditions, judgment branches and execution paths to be intuitively arranged in the form of visual elements such as nodes and lines to form a flowchart, thereby reducing the cognitive load and time cost of engineers in creating, reviewing and understanding the logic and improving the efficiency from the source. In addition, during the selection of the target device, the execution state of the production node and / or the execution process of the graphical strategy are displayed, the logic calculation process of the internal decision of the system is converted into visual information flow that can be perceived by the operator in real time, the internal process that is originally invisible becomes visible, and the transparency of the execution process is realized.

The present application relates to the technical field of edge communication, and particularly relates to a method, device, equipment and system for communication based on an edge gateway, which unifies a large number of edge devices to access a network using one IP address through address conversion, so as to reduce the demand for IP addresses in a public network / bearer network, save a large number of IP address resources in the bearer network, realize intensive use of IP address resources, reduce the demand for special network devices, and reduce hardware investment costs; the real address of an internal network object is hidden behind a gateway address through dynamic address conversion operation, so as to reduce the security risks of internal network topology exposure; the session state of each request is accurately recorded, a reliable link matching basis is provided for reverse dynamic address conversion, link confusion and conversion errors are reduced, the transparency of bidirectional communication between a request end and an object is realized, the request end does not need to perceive the internal network structure, and the object also does not need to expose the real address, so that the bidirectional communication efficiency and security are greatly improved.

This application provides a blockchain-based data update method and apparatus. The blockchain-based data update method includes: sending proposal information to the blockchain, wherein the proposal information carries a first resource for the proposal information; in response to determining that the first resource has reached a first resource threshold, voting on the proposal information and recording the number of votes; and in response to determining that the number of votes meets the passing condition, applying the proposal information to the blockchain. This achieves open and transparent voting, allowing the proposal information to be directly applied to the blockchain once the number of votes meets the passing condition, thereby reducing the operational steps for off-chain personnel and improving the timeliness of proposal information application.

This utility model discloses a lens protection device for image analysis in the field of lens protection technology. It includes an image analysis base, a bracket mounted at the rear end of the base, and a mounting cavity mounted above the front end of the bracket. A lens is slidably mounted inside the mounting cavity. L-shaped guide rails are provided on both sides of the bottom of the mounting cavity. The device has a reasonable structure. This utility model mounts a movable seat B on a protective plate to the outer wall of a rotating shaft B on a motor B via a threaded connection. A high-transparency plate is slidably mounted in a mounting groove on the protective plate. Based on a retaining plate on the shaft, after the high-transparency plate is installed, the retaining plate is moved until it contacts the surface of the high-transparency plate, thus fixing the high-transparency plate. After installation, the lens is lifted into the mounting cavity by motor A, and the protective plate is sealed by motor B, thus achieving sealed protection for the lens.

This invention belongs to the field of data security and large-scale scientific instrument management technology, specifically relating to a controlled access and management system for large-scale instrument data. The system comprises a closed network layer: utilizing network devices to construct an independent, physically isolated dedicated local area network (LAN); this network connects only the instrument control host and authorized user access terminals. A data sharing and access layer: a data sharing storage area is set up on the instrument control host; through the closed LAN, authorized user terminals can directly access this area via network paths to browse and download data. This invention achieves controlled, secure access and transmission of scientific instrument data by constructing a closed LAN. This invention is primarily applied to key laboratories in universities, research institutes, and enterprises for managing experimental data generated by high-value large-scale analytical instruments such as mass spectrometers, nuclear magnetic resonance spectrometers, and chromatographs.

This application discloses a temporary power consumption management system, method, equipment, and storage medium, relating to the field of power consumption management technology. The system includes: a business application module, an application approval module, a time limit monitoring module, and a reminder push module. The business application module is used to trigger the temporary power consumption management process; the application approval module is used to track the process approval; the time limit monitoring module is used to monitor the power consumption period and determine the temporary power consumption status (including not yet due, nearing the end of the period, and expired); the reminder push module pushes inspection prompts to the inspection terminal when the status is nearing the end of the period or expired; the inspection terminal receives the prompts and reports the inspection results. Through closed-loop management of online processes, automatic monitoring, early warning pushes, and inspection feedback, the system fundamentally solves the defects of manual management models, such as the risk of overdue power consumption due to omissions in manual verification, and is conducive to meeting the institutionalized and refined management needs of power plant safety production.

The invention discloses a high-fidelity state evaluation method for a high-end equipment pump motor, and the method comprises the steps: sequentially constructing an ideal mathematical model, an internal leakage rate mechanism model and an actual output torque calculation model, and obtaining a theoretical performance parameter, dynamic volume efficiency and a torque reference; based on the health state test data, inverting model undetermined parameters by adopting a multi-objective optimization algorithm, and establishing an individualized health reference model; a real-time performance signal is input into the model, a residual error of measured data and model response is calculated, a dimensionless health feature vector is extracted through normalization processing, a comprehensive health index is obtained through weighted fusion, and accurate quantitative evaluation of the health state of the pump motor is achieved.

The invention relates to the technical field of block chain digital copyright protection, in particular to a power grid digital image copyright protection method, system and device based on a block chain and a storage medium. Performing discrete cosine transform and singular value decomposition on the power grid image, embedding the copyright identifier into an intermediate frequency coefficient of a singular value diagonal matrix, and generating a power grid image containing the copyright identifier; calculating a dual hash value of the power grid image as a feature fingerprint, extracting a public key address and a timestamp of a copyright owner to form copyright metadata, and writing the copyright metadata into an alliance chain through an intelligent contract to generate a copyright evidence storage record; extracting a Hash value of a to-be-detected power grid image, comparing the Hash value with copyright metadata in the alliance chain, screening similar images, calculating frequency domain feature similarity, when the similarity reaches a threshold value, extracting a copyright identifier, comparing consistency, and judging infringement to generate evidence; receiving a copyright transaction request, verifying the digital signature of a transaction party, querying the alliance chain to confirm the copyright affiliation, executing copyright transfer, and updating the record on the chain.

The utility model discloses a seat -ground type super -large glass curtain wall system, including glass subassembly and the keel of supporting glass subassembly, is fixed on the building main body through the adapter, adopts seat -ground type installation to curtain wall vertical steel keel, and the dead weight of glass curtain wall is passed through the vertical frame adapter of top and bottom and is delivered to the building main body structure, and the bottom of glass subassembly is supported by the seat -ground type clamping steel piece of clamping glass two sides and the intermediate load bearing support, and the intermediate load bearing support includes the galvanized load bearing block of supporting the glass subassembly on the upper side, and the galvanized load bearing block center is as the axle pin of spacing, and the load bearing block base below, and the load bearing block base is installed on the lower support adapter, and the clamping steel piece is fixed on the support adapter steel piece, and the dead weight load of glass subassembly is delivered to the building main body structure through the support adapter steel piece. The utility model discloses curtain wall vertical steel keel only plays the role of the support rib, and does not bear the gravity load of glass subassembly. The force system is reasonable, realizes the building penetration and the aesthetic effect at the same time, and ensures the rationality and reliability of curtain wall structure.

The application discloses a manufacturing process intelligent generation method based on a knowledge graph and controllable reasoning. First, manufacturing process data of a target manufacturing object is automatically extracted and stored in a structured manner to construct a manufacturing process knowledge graph adopting a node-edge model. An optimal process template is selected through a two-level mechanism of field matching preliminary screening and directed graph judgment. A parameter context is generated based on knowledge graph reasoning to complete intelligent parameter filling of the process template. Finally, a standardized process procedure file is output and closed-loop verification is performed. The application realizes automatic intelligent generation of a manufacturing process procedure in the whole process, which is controllable and interpretable, significantly improves process preparation efficiency and quality consistency, and can be widely applied to process planning links in various high-end manufacturing scenarios.

The invention discloses a supplementary cultivated land affirmation method based on spatio-temporal data and remote sensing image fusion, and relates to the field of remote sensing, and the technical scheme of the invention comprises the following steps: S1, the supplementary cultivated land is planned to be accurately pre-judged and anchored in the early stage of newly added cultivated land; s2, refined determination and calculation of newly added cultivated land and supplemented cultivated land; and S3, intelligent judgment and grading verification of the result quality. By fusing multi-temporal high-resolution remote sensing images and various vector spatio-temporal data, fuzzy experience judgment is converted into accurate mathematical and spatial rules, and standardization, transparency and intelligence of supplementary cultivated land determination are achieved.

The invention discloses a river eutrophication prediction method considering climate and landscape pattern changes, and relates to the technical field of river management, and the method comprises the steps: collecting and verifying long-term data in a watershed, carrying out the preprocessing and space matching, and forming a standardized sub-watershed annual data set; based on the sub-basin year data set, extracting landscape indexes of sub-basin scales; calculating a river eutrophication index according to the water quality monitoring data; screening key landscape indexes by using a recursive feature elimination algorithm; constructing a machine learning regression model by taking the key landscape index and the climate data as input variables and the river eutrophication index as an output variable, and obtaining an optimal prediction model; carrying out interpretability analysis, and quantifying the contribution degree and the influence direction of each input feature to the river eutrophication index; and inputting data in different future scenes into the optimal prediction model, and predicting and evaluating river eutrophication risks in different scenes.

This invention discloses a real-time monitoring system for the entire lifecycle of a generator set based on fog computing, relating to the field of periodic monitoring. The method includes: acquiring monitoring network information of the monitoring network corresponding to the target generator set; filtering nodes based on the monitoring network information to determine potential node topologies and monitoring node topologies; calculating the node health entropy of each monitoring node and each potential node to obtain a bidirectional entropy set; making dynamic monitoring decisions based on a preset optimization algorithm, according to the bidirectional entropy set, the potential node topologies, and the monitoring node topologies, to generate a dynamic monitoring scheme; and applying the dynamic monitoring scheme to the monitoring network of the target generator set to perform real-time monitoring. This invention solves the problems of resource waste, low reliability, and poor maintenance in traditional static monitoring systems.

The application discloses a traceable method for task replication and resource allocation in a large-scale machine type communication network, belongs to the technical field of wireless communication and mobile edge computing, and comprises the following steps: based on Lyapunov optimization theory, physical and virtual queue quantitative constraints are established, and long-term optimization is converted into a per-time-slot "drift plus penalty" minimization problem; then, the problem is decomposed into a task replication sub-problem, a resource block allocation sub-problem and an edge server queue management sub-problem, and the sub-problems are solved in sequence; an optimal task replication scheme is determined and saved as a first decision credential; a resource block allocation scheme is determined and saved as a second decision credential; an optimal edge server queue management scheme, including an edge server task processing rate and a task discard amount, is determined and saved as a third decision credential; and a queue state is updated, the decision credentials and the queue state are encapsulated as a periodic transaction and written into a blockchain to form an operation audit log; and the application realizes optimal balance of long-term operation cost and makes the decision process traceable.

This application relates to the field of suspension bridge cable strand processing technology, specifically disclosing a method for anchoring ultra-high strength cable strands. The method includes the following steps: collecting structural parameters of the anchor cup, wire separator, and wire bundle entities and constructing a digital twin model; collecting process parameters of the cable strand anchoring process and synchronously mapping them to the digital twin model; comparing the collected parameters with preset safety ranges, marking parameters that do not meet preset safety thresholds as process parameters to be adjusted; calculating the actual injection amount by collecting the alloy weight difference before and after anchoring; comparing the reverse displacement curve and injection amount of each anchor with historical qualified data intervals; if the range is exceeded, marking the anchor as a defective anchor and triggering an alarm; retrieving parameters of the defective anchor and analyzing them to obtain an optimized safety threshold range for the process parameters. The purpose of this patent is to solve the problem of lacking effective monitoring and control methods during the cable strand anchoring process, making real-time process monitoring and adjustment impossible.