146 results about "Multiple site" patented technology

The invention relates to the technical field of photovoltaic power generation cloud platforms, and discloses a multi-site energy storage cluster cloud scheduling platform based on photovoltaic power generation prediction, and the platform employs a real-time data collection and space-time synchronization module to carry out the timestamp alignment and space grid processing of multi-source heterogeneous data. In combination with a dynamic priority scheduling mechanism of a prediction task distribution module based on volatility and a power grid security situation, the effects of cooperative execution of prediction tasks and priority guarantee of key tasks are achieved; through containerized parallel reasoning and consistency Hash load balancing technology of a distributed prediction calculation module, time consistency of a multi-node prediction result is ensured, and a rolling optimization algorithm and a time sequence constraint embedding strategy of a unified scheduling decision module are adopted. Accurate calculation of power generation unbalanced power and time sequence consistency generation of an energy storage strategy are achieved, and through instruction verification and conflict detection and filtering frequency reduction processing of a smoothing module, the effects of prolonging the service life of equipment and guaranteeing stable operation of a power grid are achieved.

The invention relates to the technical field of intelligent water conservancy and automatic control, in particular to a polder area multi-station water conservancy data real-time collection and intelligent fusion processing method and system, and the method comprises the steps: a multi-dimensional collection system construction step: collecting time sequence state, fluid field and environment boundary data, and executing time base unified cleaning; an ideal model construction step: constructing an ideal water tank model based on the law of conservation of mass and generating an ideal water level change curve; a parameter injection simulation step: generating a simulation fault water level curve according to injection efficiency attenuation and medium leakage parameters; a double-track difference calculation step: respectively carrying out difference on actual measurement and simulation data and an ideal curve to generate real and theoretical residual vectors; a similarity judgment and control step: calculating sequence similarity to judge a real physical fault or sensor data noise, and generating a fusion control instruction; according to the invention, the technical problem of distinguishing the noise of the sensor from the real physical fault is effectively solved, and false alarm or missing alarm is avoided.

The invention provides a central intelligent kitchen full life cycle operation optimization method based on digital twinning, and relates to the technical field of intelligent kitchens, and the method comprises the steps: building a self-correction twinning model, and achieving the dynamic self-adaption of model parameters and structures; based on a multi-objective collaborative optimization algorithm, performing joint optimization on energy consumption, productivity and quality indexes; setting a trigger control logic in combination with the prediction deviation, the constraint conflict and the energy price change; a federal aggregation mechanism is adopted to realize unified updating of parameters and strategies among multiple sites, a global optimal strategy model is finally formed, and a collaborative optimal control scheme throughout construction, operation and maintenance stages is generated, so that dynamic optimal operation and full-life-cycle energy efficiency improvement of the central intelligent kitchen are realized. According to the method, the problems of staticizing of a digital twin model, simplification of an optimization target and insufficient multi-site collaboration in the prior art are solved.

An enterprise engineering and configuration system includes a common configuration database and support services stored in and executed in a compute fabric of an enterprise. The configuration database and support services use and implement a common configuration data schema to support the configuration of hardware and software in the compute fabric and at multiple different sites or physical locations of the enterprise even when different control and automation systems are used at these different sites or physical locations. The configuration system enables implementing hardware or software configuration changes to various different sites or locations of an enterprise either centrally from a configuration device connected directly to the compute fabric of the enterprise or locally from any physical location or site of the enterprise, while maintaining a single integrated enterprise configuration database that stores configuration data for each of the multiple sites of the enterprise. This configuration system is flexible as it enables engineering and configuration changes to be made by users anywhere in the enterprise for any of the sites of the enterprise and across different sites of the enterprise.

The invention relates to the technical field of chip function testing, and particularly discloses a multi-site testing method for TOF sensor chip function testing, which comprises the following steps: completing hardware self-inspection and software loading; the host receives a'ready 'signal fed back by the sorting machine / probe station through GPIB communication, and confirms that each slave and the corresponding peripheral are in a'to-be-tested' state through TCP communication or Pipe interaction; the host issues an independent test instruction to each slave; after each slave receives the instruction, the corresponding test resource board card is controlled to provide a test condition for the chip to be tested, and the chip output data is collected at the same time; after completing the single-station test, each slave uploads a test result to the host; the host captures the test data from the corresponding network disk and counts the yield; and the host sends the final result of the multi-station test to the sorting machine / probe station through the communication driver and automatically grabs the next batch of chips to be tested. According to the method, the overall test time is greatly shortened through the multi-site parallel test.

The invention relates to a wind power prediction method, system and device based on a multi-site dual-space-time network and a medium. The method comprises the following steps: acquiring historical data of a multi-site wind power plant, and preprocessing the historical data of the multi-site wind power plant to obtain preprocessed data; performing feature selection processing on the preprocessed data to obtain an optimized feature set; inputting the optimized feature set into a preset multi-site dual-time-space network to obtain a first future predicted value of each site and a second future predicted value of each site; the multi-site dual-time-space network comprises a long short-term memory network branch and a time convolution network branch; and carrying out weighted fusion on the first future predicted value and the second future predicted value to obtain a multi-station wind power predicted value. By adopting the method, the precision and robustness of multi-station wind power prediction can be improved, the clustering development requirement of the wind power plant can be better adapted, and powerful support is provided for power grid dispatching strategy optimization and safe and stable operation.

This invention discloses an automatic update system for website article, tag, and category matching models, relating to the field of model update technology. It includes a data input module, a recommendation query unit, and a training unit. The data input module includes inputting query data and matching keyword data with data obtained from the database by the recommendation query unit to obtain matching data and corresponding articles. The database used is the Milvus database. This application optimizes the model and its performance, accelerating the training speed. Furthermore, this application uses the Milvus database, the Roformer model, and the prompt technique to solve the problem of requiring multiple manual training and restarts for a single site. Model updates are convenient and do not affect business operations. The same model can be adapted to data groups from multiple sites, and the problem of repeated training across multiple sites is solved.

An illustrative method includes a multi-site storage system determining performance data associated with the multi-site storage system; determining, based on the performance data, a replication lag threshold value; and providing the replication lag threshold value to an application. In some embodiments, the application uses the replication lag threshold value to set a configuration parameter for the application, such as a replication timeout value of the application.

The application relates to the field of 5G communication technology, in particular to a 5G base station site selection method and system taking a convergence device as a center, which comprises setting candidate base stations, convergence device and link related parameters and decision variables; enabling the candidate base stations and connecting the nearest convergence device in a high demand area, calculating the total cost, the time delay of each service and the utilization rate at this time; using the evaluation function of the simulated annealing algorithm to calculate the total cost, the time delay and the utilization rate to obtain the current solution; randomly exchanging the convergence device allocation of the base station or adjusting the link path until the constraint condition is met, recalculating the total cost, the time delay and the utilization rate and substituting them into the evaluation function to obtain a new solution; judging whether to accept the new solution according to the simulated annealing algorithm criterion, constantly updating the temperature and iterating until the maximum running number is reached, and finally forming a convergence device deployment scheme and a link planning. The application is used for reasonably planning the base station site under the conditions of multi-site, multi-convergence device and multi-target optimization.

The invention discloses a multi-site collaborative energy storage centralized control scheduling method, which relates to the technical field of multi-site collaborative energy storage, and comprises the following steps of: after an ambiguity condition of a scheduling strategy is identified, constructing a response mode vector based on a site historical scheduling behavior, and utilizing a response prediction model fusing a multi-head attention mechanism and a behavior trajectory transformation network to obtain a multi-site collaborative energy storage centralized control scheduling strategy; determining a site response behavior difference under the condition that the scheduling strategy has ambiguity; according to a site response behavior difference result, a strategy analysis prompt instruction is generated through a behavior deviation value mapping mode, the strategy analysis prompt instruction and an original scheduling strategy are combined to construct a structured scheduling strategy with a consistent analysis path, and unified analysis and constraint control of scheduling strategy execution logic are achieved. According to the method, the problem of multi-site response behavior difference caused by an ambiguous scheduling strategy is solved, unified analysis and closed-loop control of the scheduling strategy are realized, and the consistency and stability of cooperative scheduling are guaranteed.

Some embodiments of the invention provide a method for implementing an SD-WAN connecting multiple sites at multiple physical locations. The method is performed at a first route reflector for a first region of the SD-WAN. The method receives, from a hub router of the first region, a peer-connection notification regarding a newly connected first edge router located at a first site in a second region. The method determines that a routing table maintained by the first route reflector does not include routes of the first edge router and that the first route reflector does not have a direct connection to the first edge router. Based on said determining, the method requests routes of the first edge router from the hub router. After receiving from the hub router the requested routes of the first edge router, the method updates the routing table to include the routes of the first edge router.

The invention relates to the technical field of urban rainfall pattern recognition, and aims to solve the problems that an existing method depends on an empirical formula, rainfall classification is unstable, and interpretability is insufficient. The method comprises the following steps: acquiring multi-site long-time actually measured rainfall data, and identifying an independent rainfall event based on a rainfall interval threshold value; multi-dimensional features such as rainfall duration and peak rainfall intensity are extracted and standardized; performing hierarchical clustering by adopting a Ward minimum variance method, and determining an optimal clustering number by combining a Clinski-Harabasz index and the like to obtain a rainfall mode; training a linear discriminant analysis (LDA) model by taking a clustering result as a label, and verifying and quickly classifying a new rainfall event; the result is used for flood control scheduling, flood risk assessment and the like. According to the method, rationality is improved based on measured data, classification stability is improved by fusing clustering and discriminant analysis, expandability is high, and intelligent disaster prevention is supported.

The invention relates to the technical field of power transmission station selection exploration and development of a power system, and provides a power transmission project site selection verification method fusing a rigid-flexible rule and a land use type rule, and the method comprises the steps: obtaining a plurality of site selection schemes of a to-be-verified power transmission station construction project; defining a site selection verification rule group for verifying the site selection scheme; analyzing a spatial relationship between site selection points of the site selection schemes and spatial constraint factors of the site selection points by utilizing a GIS system and a DE9IM model, judging whether each site selection scheme conforms to a rigid rule or not according to an analysis result, and then calculating a flexible rule set score and a land use type rule set score of each site selection scheme conforming to the rigid rule; and calculating a comprehensive score of each site selection scheme based on the flexible rule set score and the land use type rule set score of each site selection scheme, and selecting the site selection scheme with the highest score as the site selection scheme with the highest suitability. According to the invention, scientificity, accuracy, high efficiency, flexibility and convenience of power transmission station construction project site selection verification can be improved.

The invention provides a multi-site relay type intelligent continuous navigation system and method and a terminal, and the method comprises the steps: collecting the multi-modal biological and behavior data of a current user through site interaction terminals disposed at a plurality of key path node positions of an indoor and outdoor composite space, obtaining the navigation demands and de-identification feature codes of the current user, and obtaining the navigation demands of the current user through the de-identification feature codes; generating a navigation request message of a current user and sending the navigation request message to the navigation central server; analyzing the received navigation request message through a navigation central server connected with each site interaction terminal, executing a path planning operation, calculating a target feasible path meeting a navigation requirement, and sending the target feasible path to the corresponding site interaction terminal; displaying a target feasible path on a three-dimensional digital twinborn map of an indoor and outdoor composite space through each station interaction terminal, and guiding a current user by voice; therefore, cross-terminal relay type navigation is realized, the navigation experience of the user is improved, safe anonymous identification of the user is realized, and privacy leakage is avoided.

The embodiment of the invention provides a multi-site collaborative electromagnetic spectrum situation prediction method based on multi-source data fusion and an attention mechanism, and the method comprises the steps: 1, collecting spectrum observation data, spatial data and meteorological data of multiple sites, and carrying out the data preprocessing; step 2, based on prior knowledge and GIS data, calculating a theoretical field intensity value of a known emission source at each monitoring station by using a radio wave propagation model; step 3, constructing a multi-branch fusion neural network MFNN based on 3D-CNN, LSTM, GCN and MLP, extracting joint feature representation of multi-source data in the step 1 and the step 2, and introducing an adaptive attention mechanism to perform weighted fusion on each branch feature; and 4, generating a predicted value of a future frequency spectrum state through a prediction output layer, and performing data inversion to obtain a physical power value to realize channel state inference. Structured information capable of directly driving a decision is output through data inversion and channel state inference.

A method and system for implementing a unicast layer 3 connection in an MS-SPB network (100) is described, the MS-SPB network comprising at least two stations (102i) and an ISIS network topology for SPB. The technique includes partitioning each SBN (105il) of any given site in the MS-SPB network as a local site into: a Fabric VPN component configured to advertise on an inter-site network all layer 3 routes located within an intra-site network of the local site to all other sites in the MS-SPB network as remote sites; and a site meta VPN component configured to advertise, on the intra-site network of the local site, all Layer 3 routes located within the intra-site network of the local site. A gateway IP interface in each of the Fabric VPN component and the site meta VPN component is configured to route layer 3 traffic from one node of the local site to a node of one of the remote sites in the MS-SPB network over the inter-site network.

This invention discloses a point cloud registration method and system based on multi-source semantic information and planar normal vectors. The point cloud registration method includes: acquiring first point cloud data from one site and second point cloud data from another site in a target area; performing semantic segmentation on the first and second point cloud data and classifying the segmented components; for components of a target category, extracting planar components from the target category; acquiring multi-dimensional feature data of the planar components; using the multi-dimensional feature data to match the planar components of the first and second point cloud data; calculating a rotation matrix using the matched components; and performing a global multi-plane consistency evaluation on the rotation matrix to obtain an initial registration matrix. This application achieves a balance between high registration success rate, high robustness, and high computational efficiency, thus providing a reliable initial pose for precise point cloud registration and multi-site fusion in complex urban scenarios.

Techniques for communication network routing include receiving, at a routing device associated with a first site in an overlay communication network, a dynamic parameter value associated with each of a plurality of additional sites in the overlay communication network. The plurality of additional sites are each configured to provide a first network service for a computing device in the first site. A second site in the overlay communication network is selected, from among the plurality of additional sites, based on a first dynamic parameter value associated with the first site and a received second dynamic parameter value associated with the second site. The first network service is provided from the second site for the computing device, based on the selecting the second site.

The application belongs to the technical field of fish genetic identification, and discloses a multi-site identification method for wild large yellow croaker of Lutjanus Russellii based on SNaPshot technology, and specifically discloses a group of SNP molecular markers for identifying wild large yellow croaker of Lutjanus Russellii, wherein by detecting the SNP molecular markers, the identification of wild large yellow croaker of Lutjanus Russellii in wild large yellow croaker samples can be realized only by using a simple multiplex PCR reaction system and SNaPshot typing sequencing. The wild large yellow croaker samples of Lutjanus Russellii can be automatically typed and identified only by operating on various genetic analysis instruments. Compared with the method for identifying wild large yellow croaker of Lutjanus Russellii, the method is more accurate, faster and higher in detection flux, and has higher accuracy and cumulative exclusion rate.

The application discloses a multi-station dynamic resource allocation method and system based on edge computing and related devices, belonging to the technical field of unmanned aerial vehicles. The method comprises the following steps: determining a target distribution station from a plurality of distribution stations; obtaining the historical task quantity of the target distribution station within a preset period, and determining a target load trend value representing the task load change trend based on the historical task quantity; determining at least one adjacent distribution station and obtaining the corresponding adjacent load trend value; based on the target load trend value and the adjacent load trend value, determining a resource migration vector of the target distribution station, which indicates the recommended moving direction and amplitude; determining the target position based on the resource migration vector and the current position, and generating a moving scheme. By comparing the historical task load trend of the distribution station with the adjacent station, the physical movement of the station is autonomously driven, the spatial layout of the distribution network is dynamically evolved according to the demand, the unmanned aerial vehicle flight distance is reduced, and the multi-station load balancing and overall resource utilization efficiency are improved.

This invention discloses a root system dynamic monitoring system suitable for multi-site deployment in the field, belonging to the field of root system monitoring technology. It includes: at least one root box, at least one imaging module, a power supply module, and at least one wireless data transmission module. The root box is a sealed structure, with at least one side being transparent. Each root box contains one imaging module and one wireless data transmission module. The imaging module's imaging direction is towards the side where the target plant's roots are located. The imaging module is electrically connected to the wireless data transmission module to transmit the collected image data to an external terminal device or server. The power supply module is electrically connected to at least one imaging module and at least one wireless data transmission module to provide power. This invention addresses the technical problems of existing root system monitoring devices, such as high cost, complex structure, insufficient spatial coverage, and high long-term operational risks.

The invention relates to the technical field of forest multi-site registration, and discloses a forest multi-site point cloud registration method and related equipment, and aims to construct a feature grid map by fusing multiple classes of semantic tags, avoid registration failure caused by single feature deletion or poor quality, improve the adaptability in multi-forest, multi-season and multi-shielding scenes, and improve the registration accuracy. A high-stability registration area is selected by means of stability scores, self-adaptive adjustment of registration constraints is achieved in combination with a semantic weighting mechanism, the dependence of coarse registration on an initial pose and artificial experience is reduced, and wrong matching interference is reduced. Through semantic weighting ICP fine registration and global optimization, geometric stability differences of different semantic objects are distinguished, unstable structure interference is reduced, and registration precision is improved. Automatic stable registration can be achieved without manual target, the field operation cost and workload are reduced, and large-scale forest scene popularization is facilitated.

This invention provides a parameter-driven, intuitionistic fuzzy logic method for evaluating the suitability of mega-span cavern sites, relating to the field of geotechnical engineering evaluation. This invention, for the first time, constructs a dedicated tunneling design index system for mega-span caverns integrating "rock mass quality, environmental response, shape effect, and support status." It separates evaluation criteria indicators from engineering response indicators, establishing a mapping relationship between the two through numerical simulation, making the evaluation process more consistent with engineering cognitive principles. Intuitionistic fuzzy numbers are used to quantify the merits of evaluation index values, achieving an organic fusion of objective data and fuzzy expression. The final output is a single, quantifiable site suitability index, enabling intuitive comparison of multiple sites and multiple indicators, greatly facilitating engineering decision-making. By replacing expert scoring with a pre-set mapping function, subjective interference is completely eliminated, ensuring that the evaluation results are entirely determined by the input parameters. Different personnel can obtain consistent conclusions, greatly improving the repeatability and engineering applicability of the method.

The application provides a material distribution path design method, comprising the following steps: step 1: counting the transportation demands that have not been loaded, arranging the transportation demands that have not been loaded according to the time sequence, and selecting the site corresponding to the transportation demand with the earliest time arrangement as the departure site; step 2: for a specific departure site, according to all the transportation demands of the site, sorting the transportation demands that have not been loaded of the site according to the priority, and traversing a plurality of car departure schemes; the priority of the transportation demands is in the order from high to low as follows: the overnight starting time point demand, the overnight other time point demand, the current day starting time point demand and the current day other time point demand. The application solves the problems of multiple material distribution demands and multiple sites according to the research and batch mixed line research characteristics of the discrete manufacturing workshop, improves the material distribution efficiency in the discrete manufacturing workshop, and reduces the material distribution cost.

The invention relates to the technical field of 5G communication, in particular to a 5G base station site selection method and system with convergence equipment as the center, and the method comprises the steps: setting candidate base stations, convergence equipment and link related parameters and decision variables; starting a candidate base station in the high-demand area, connecting the nearest convergence equipment, and calculating to obtain the total cost at the moment, and the time delay and the utilization rate of each service; calculating the total cost, the time delay and the utilization rate by using an evaluation function of a simulated annealing algorithm to obtain a current solution; the aggregation device of the random switching base station allocates or adjusts a link path until a constraint condition is met, recalculates the total cost, the time delay and the utilization rate, and substitutes the total cost, the time delay and the utilization rate into the evaluation function to obtain a new solution; and judging whether a new solution is accepted or not according to a simulated annealing algorithm criterion, continuously updating the temperature and iterating until the maximum number of operation rounds is reached, and forming a final convergence equipment deployment scheme and link planning. The method and the device are used for realizing reasonable planning of the base station site under the condition of multi-site, multi-convergence equipment and multi-target optimization.

The invention discloses an environmental water quality monitoring and predicting method based on deep learning, and relates to the technical field of environmental monitoring. The method comprises the steps of collecting multi-site time series data and constructing a space-time input matrix and a space relation matrix; a time sequence feature is extracted by using 1D convolution and an improved Mama network; spatial features are extracted through multi-head local attention with distance punishment; carrying out multi-index multi-step prediction by adopting a multi-task learning framework after fusion; a multi-objective loss function is constructed, and a GRPO optimization strategy is adopted for training; during reasoning, uncertainty estimation is carried out through Monte Carlo Dropout, and a prediction mean value, a confidence interval and a risk level are output. According to the method, deep space-time joint modeling and multi-index collaborative prediction can be realized, the prediction precision and the training stability are improved, credible early warning information can be provided, and the method can be widely applied to water quality prediction of various environmental water bodies such as rivers, lakes and reservoirs.

The present application belongs to the poplar plantation technical field, and particularly relates to a poplar plantation structure optimization and sustainable management method and system. The method comprises the following steps: S1, constructing a growth model of poplar, and dividing the poplar into three stages of a juvenile stage, a middle-aged stage and a near-mature stage according to the growth model; S2, collecting site factor data; S3, dividing the research area into multiple site grade areas, and configuring differentiated growth parameters, rotation periods and felling intensities for the site grade areas; S4, building a multi-objective linear programming model, and the objective function covers maximization of total wood yield, minimization of management cost and maximization of ecological benefit; S5, linearly fitting the juvenile stage, the middle-aged stage and the near-mature stage to obtain the corresponding linear equations of the stages, embedding the linear equations of S2 into the multi-objective linear programming model as constraint conditions, and clearly defining the forest age range of each stage; and S6, solving the multi-objective linear programming model to obtain optimal felling area, rotation period and felling intensity parameters.

The application provides a logistics management method and system for bank cash boxes, and relates to the field of logistics management.The method comprises the following steps: obtaining historical cash box transportation demands and historical passenger flows of multiple sites; dividing the multiple sites into multiple site groups based on the historical cash box transportation demands of the multiple sites and the shortest paths between any two sites; determining the weights of multiple handover time periods corresponding to multiple key date types of each site based on the historical passenger flows of the multiple sites; obtaining current cash box transportation demands of the multiple sites; and generating an optimal cash box escort scheme based on the current cash box transportation demands of the multiple sites, the multiple site groups and the weights of the multiple handover time periods corresponding to multiple key date types of each site, wherein the optimal cash box escort scheme comprises multiple cash box escort paths, each logistics transportation path corresponds to cash box transportation of at least one site, and has the advantage of improving the transportation efficiency of bank cash boxes.

The invention provides a multi-site cooperative monitoring method and system based on an optical cavity ring-down spectroscopy technology, and the method comprises the following steps: constructing a multi-site cooperative monitoring network based on a plurality of greenhouse gas monitoring sites disposed in a target monitoring region; collecting a greenhouse gas sample gas at each site, and detecting the sample gas by using a greenhouse gas analyzer based on an optical cavity ring-down spectroscopy technology to obtain greenhouse gas concentration data; collecting greenhouse gas concentration data of each station, and carrying out filtering processing; validity evaluation is carried out through a data validity analysis module, standard gas calibration operation is carried out on stations needing standard gas calibration, and at least two other stations are controlled to be kept in a normal monitoring state in the calibration process based on a calibration locking mechanism, so that continuous monitoring of greenhouse gas by the multi-station cooperative monitoring network is maintained. The accuracy, stability and reliability of greenhouse gas monitoring are improved, and real-time and long-term monitoring can be realized.

The utility model provides a fixture for fixing a wafer, the fixture for fixing the wafer comprises a base, a clamping device and a fastening device, through the design of multi-site clamping of a first clamping piece, a second clamping piece, a fastening block and the like in the clamping device, the number of clamping sites of the wafer is more, the stress of the wafer is more uniform, and the wafer is more stable. The wafer is clamped more compactly, so that the safety of the wafer in the SEM Review process is guaranteed, in addition, through synchronous clamping and fixing of the first clamping piece and the second clamping piece, self-calibration of the center position of the wafer can be achieved, a mechanical self-locking principle is adopted, the wafer is prevented from rotating possibly in the SEM Review process, and an operator only needs to move the sliding block, so that the wafer can be clamped more tightly, and the wafer can be prevented from rotating in the SEM Review process. Therefore, the clamping or loosening operation of the wafer can be automatically realized, and the risks of wafer collision and wafer falling are greatly reduced.