805 results about "Plug and play" patented technology

The invention discloses a laboratory analytical instrument automatic calibration system based on artificial intelligence, and belongs to the technical field of instrument automatic calibration. Comprising the following modules: an intelligent hardware interaction module for realizing plug-and-play of different instruments and accurate conveying of standard substances; the instrument digital twinning module automatically identifies the characteristics of the instrument and simulates the behaviors of the instrument; the multi-mode AI calibration module is used for optimizing calibration parameters and adjusting the calibration process in real time; the environment intelligent compensation module calculates and generates a compensation coefficient in real time, and eliminates the influence of environmental factors on a calibration result; the instrument health management module is used for evaluating the health state of the instrument and predicting the service life of a core component, and realizing conversion from passive maintenance to predictive maintenance; the calibration knowledge graph module is used for realizing automatic extraction, reasoning and application of calibration knowledge through a graph neural network and continuously optimizing a calibration strategy; and the intelligent scheduling and management module is used for generating an optimal calibration plan, coordinating the work of each module and realizing reasonable distribution and efficient utilization of calibration resources.

A passivity-based dual-mode integrated control method for a grid-connected inverter (GCI) is provided. In view of the insufficient robustness of the conventional single-mode GCI in a high-impedance and low-inertia weak grid, and the problem of wideband oscillation of the grid voltage and grid current or even system instability in nonlinear application scenarios such as grid structure / parameter variation, and plug-and-play of the inverter, the dual-mode integrated control method performs modeling on the GCI based on a port-controlled Hamiltonian (PCH) model, thereby obtaining integrated control with a weighted passivity-based feedback control law for the GCI based on a grid-following (GFL) mode and a grid-forming (GFM) mode. Based on the dual-mode integrated control method, the stable operation of the GCI in severe grid conditions with large fluctuation of the impedance, and desirable robustness of the GCI in nonlinear working scenarios can be ensured.

The invention relates to the technical field of data acquisition, in particular to a multi-source heterogeneous bus data acquisition protocol configuration method, which realizes protocol identification and structure analysis of CAN (Controller Area Network), Modbus and Ethernet / IP (Internet Protocol) bus data by dynamically compiling protocol source codes and registering analysis classes, and comprises the following steps of: extracting protocol feature information from a data stream; the method comprises the following steps of: calling a corresponding protocol analysis class to perform recursive analysis, and executing parameter analysis and mapping, in addition, defining a new protocol semantic feature and dynamically generating a protocol analysis plug-in through an XML (Extensible Markup Language) configuration file to realize protocol semantic-level custom extension, adopting source code level dynamic compilation and plug-in design, supporting a new protocol plug-and-play mode, and being high in practicability. System codes do not need to be modified and redeployed, and the flexibility and expandability of the system are effectively improved.

A system of USB communicating camera comprising an integrated USB camera further comprising a USB communicating camera with a sensor, an image signal processor and integrated with a microcontroller having an image processing module, an inference unit, a first USB interface, a flash memory; a host system with a processor, a user interface application and a second USB interface to communicate to and from the USB communicable camera, the system is user configurable for different application specific pre-trained machine learning models. The user interface application is adapted to receive an application specific configuration data. The inference unit is an artificial intelligence inference unit that draws inference on image frames based on an input and the corresponding pre-trained machine learning model. The system deploys edge computing. A firmware residing in the flash memory remains unchanged when different application specific pre-trained machine learning models are loaded in the flash memory.

The invention discloses a photovoltaic inverter data monitoring plug-and-play method, and the method comprises the steps: constructing a model list supported by a model conversion program for various inverter brands; the initialization information of the acquisition terminal is configured, so that the acquisition terminal can correctly read the type ID and firmware version information of the inverter; establishing a mapping relation between the model ID and the Modbus protocol, wherein the mapping relation at least comprises a register address, a field type, a byte length, a unit and an alarm and state ID description corresponding to a standard object model field; the acquisition terminal reads the type ID and firmware version information of the inverter, and dynamically constructs a Modbus protocol frame according to a physical model demand field after verification of the support of the model library; and after the fields required by the object model are collected, assembling the object model into a Json structure model with a unified standard, and sending the Json structure model to a cloud for analysis and display. The cloud has the capability of remotely updating firmware, the timeliness and accuracy of the system are ensured, user feedback and technical support requests can be collected, and a model conversion program can be continuously optimized and improved.

The invention relates to the technical field of multi-modal image fusion perception and scene understanding, in particular to a plug-and-play prompt-driven visible light-thermal infrared image semantic segmentation method and system, and the method comprises the steps: respectively extracting the feature representation of an input visible light image and a thermal infrared image through a dual-branch LoRA fine-tuning image encoder; converting a segmentation mask generated by the existing visible light-thermal infrared image semantic segmentation model into unified prompt information, including bounding box prompt or point prompt; using a prompt encoder to encode prompt information into prompt embedding; the prompt-based mask decoder fuses the image feature representation and the prompt embedded feature through a spatial channel cross attention mechanism, and generates a final segmentation mask through a classification head; in the training stage, parameterized random disturbance is added to the prompt of the true value mask, and error distribution of the prediction prompt is simulated. According to the method, high-precision semantic segmentation adaptive to various segmentation models can be realized without retraining, and the segmentation robustness in a complex scene is remarkably improved.

The invention relates to the technical field of power distribution automation of a power system, and particularly discloses a general operation and maintenance method and system supporting multiple types of power distribution terminals. According to the method, millisecond-level automatic accurate identification of the power distribution terminal is realized through a multi-layer protocol feature fingerprint extraction technology and a weighted dynamic similarity matching algorithm. On the basis of a double-library cooperation mechanism, after equipment identification succeeds, communication parameters, point table mapping relations and operation and maintenance instructions which conform to international / industrial general standards are automatically triggered, loaded and issued. The plug-and-play and zero-configuration deployment of the power distribution terminal is realized, and the point table configuration error rate is reduced to below 1%. And an unidentified equipment self-learning closed-loop process is designed, so that the system can quickly adapt to a power distribution terminal of a new manufacturer, a new number or a new firmware version. And an automatic parameter read-back and verification comparison mechanism after configuration execution forms an operation and maintenance operation closed loop, so that the accuracy of configuration issuing each time and the controllability of the equipment operation state are ensured.

The invention discloses a multispectral image panchromatic sharpening method based on plug-and-play gradient feature guidance fusion, through effective extraction and integration of gradient guidance features (GRAD), excellent recovery results are obtained in the aspects of structural fidelity, detail retention and spectral consistency, and in addition, the method has the advantages of being simple in structure and convenient to use. Gradient feature guidance is fused and designed into a highly flexible plug-and-play method, and the existing architecture can be seamlessly enhanced. In particular, the present invention explicitly models a GRAD by integrating fine spatial details of a high resolution PAN with intrinsic spectral information of an MSI. Meanwhile, an attention mechanism and learnable weighting and residual connection are adopted, and selective aggregation and adaptive fusion of image information are realized, so that the MSI quality is remarkably improved. In addition, the GRAD is systematically analyzed from the aspects of structure, detail and spectrum, and the result is optimized through a multi-objective loss function. In this way, gradient information is fully mined, high-frequency details are captured, cross-modal structure guide alignment is achieved, panchromatic sharpening of the multispectral image is flexibly and efficiently achieved, and the panchromatic sharpening performance is improved.

The invention discloses a front-end multi-module development method and system based on module federation. The method comprises the following steps: extracting necessary examples, public components and public methods in a front-end project to a public basic module, and constructing a module federated product; decoupling other functional modules, and configuring a module code and a module federation construction entry in the construction configuration file; remote module lists and configuration information are managed in a centralized mode through the project configuration module; executing a construction command to call the project construction module to independently package each module and update the project configuration module; and when the application is started, the project loading module loads the public basic module and the remote function module according to the project configuration module. Compared with an existing Module Federation scheme with application as granularity, independent construction, configuration management and flexible loading during operation are achieved on the module level, dependence on repeated and redundant logic is avoided, module plug and play and version switching are supported, and therefore development efficiency, construction performance and expansibility are improved.

The invention discloses a high-robustness deep forgery detection method and device based on submerged space adversarial purification, and the method comprises the steps: constructing a robust auto-encoder training frame fusing adversarial attack and a dynamic disturbance mechanism, so as to enhance the robustness of the mapping of a submerged space and an image space; therefore, the original real semantics of the image reconstructed by the auto-encoder can be accurately kept. For different types of adversarial attacks, Gaussian distribution noise is introduced into a submerged space for diffusion, and a submerged vector is gradually restored by using a denoising solver based on a U-Net architecture, so that the purified vector is highly consistent with the original submerged vector, and the adversarial noise in the deep counterfeit content is effectively removed. In addition, the confrontation purifier provided by the invention has a plug-and-play characteristic, does not need to re-train an existing deep counterfeit detector, and shows good generalization ability at the same time.

The invention provides a target detector construction method based on transfer learning in a foggy scene, and belongs to the technical field of deep learning. According to the method, two lightweight neural network modules, namely an image adaptive module and a feature attention enhancement module, are designed according to the requirements of an unmanned aerial vehicle target detector in a foggy scene, and the two lightweight neural network modules are integrated into a plug-and-play image defogging and enhancement network; and then designing a combined target detector network according to the characteristics of the image defogging and enhancing network and various widely used target detectors. According to the invention, the target detector can improve the target detection performance in a foggy scene under the condition that model parameters and computing resources are hardly increased, technical support is provided for reliable visual perception under a severe weather condition, and the method has a wide application prospect.

The invention provides a multi-modal ecological environment monitoring element plug-in integration system and method based on unified objectification modeling. Firstly, an object model and an inheritance system of monitoring equipment, data and an algorithm are constructed; on the basis, a unified logic storage and metadata cataloguing mechanism oriented to heterogeneous databases such as relational databases, non-relational databases and file object databases is designed and realized; the plug-and-play and full-life-cycle management of equipment, data and algorithm models is further realized through a dynamic registration module; common APIs (Application Program Interface) such as object-level addition, deletion, modification and query, space-time association query, concurrent task scheduling and aggregation and the like are externally provided by relying on a unified service bus. And the hybrid storage engine cooperatively manages structured and unstructured data and maintains a topological relation between objects. According to the scheme, object dynamic integration and expansion are completed on the premise that operation is not interrupted, the multi-source heterogeneous data management and cross-modal analysis efficiency is remarkably improved, and the method is suitable for various ecological environment monitoring scenes such as natural reserve, drainage basin pollution supervision and disaster emergency response.

The invention discloses a multi-modal sensor abstract description and packaging method and system based on software definition. Firstly, a unified sensor abstract description model based on software definition is introduced, so that hardware independence is realized, and the differences of a bottom-layer multi-mode sensor in the aspects of interfaces, protocols and data formats can be effectively shielded; secondly, abstract packaging of data is achieved through an autonomous information processing module, and high-bandwidth and high-redundancy original data is converted into low-bandwidth and high-value structured information; in addition, by means of automatic registration, discovery, scheduling and control mechanisms of the sensor management control module on sensor resources, the system realizes a real plug-and-play function. According to the invention, by deploying the autonomous information processing modules at various sensor nodes, the original sensing data is preprocessed, and standardized data packaging with semantic consistency is output, so that the operation load of the central controller is reduced, and the information processing efficiency and the system response capability are also improved.

The invention discloses a BLDC (brushless direct current) driving parameter self-tuning embedded system and method for multiple equipment types, and the method comprises the steps: constructing a BLDC unified mathematical model containing an electromagnetic torque equation, a back electromotive force equation and a mechanical motion equation, and building a nonlinear mapping relation library of motor type identification codes and a key electrical parameter set; a predefined multi-mode excitation signal sequence is injected into the to-be-driven BLDC motor, dynamic response data are synchronously collected, and the dynamic response data are used for representing the characteristics of the key electrical parameter set; based on collected dynamic response data, equivalent inductance and equivalent resistance in a key electrical parameter set are decoupled and extracted through a frequency domain impedance analysis method, and meanwhile, a counter electromotive force coefficient and rotational inertia in the key electrical parameter set are identified by combining time domain counter electromotive force zero crossing point detection with rotating speed differential operation. Based on a motor fingerprint feature library and a fuzzy adaptive architecture, multi-model debugging-free plug-and-play is realized, and stable control performance is maintained under a dynamic working condition.

The invention discloses a plug-and-play Rydberg atom preparation device based on a three-photon absorption method, which comprises a laser generator, a laser input module, a laser detector, three frequency stabilization modules and a temperature and humidity control module, and is characterized in that the laser generator is used for preparing laser to be measured; the input module is used for transmitting and introducing laser; the saturated absorption frequency stabilization module, the electromagnetic induction transparent frequency stabilization module and the heating electromagnetic induction transparent frequency stabilization module all adopt a glass bonding technology to build frequency stabilization light paths; the laser detection device is used for detecting laser lines in the saturation absorption frequency stabilization module, the electromagnetic induction transparent frequency stabilization module and the heating electromagnetic induction transparent frequency stabilization module and locking the laser frequency corresponding to the specific wavelength. According to the invention, a frequency-stabilized light path is built by using a glass bonding technology, so that devices and the size are greatly reduced, and the integration level of a light path system is greatly improved; moreover, the degree of freedom of device adjustment can be reduced, and the reliability and stability of a laser frequency stabilization optical path are effectively improved.

The invention discloses a token routing enhancement method of a visual language model based on hybrid experts, which is plug-and-play and can realize efficient routing of visual tokens on a model of a pure visual mode based on a hybrid expert architecture or a multi-mode model containing the visual mode. The mode-specific routing strategy enables the method to identify internal distribution of information of different modes, so that token routing of visual and other modes is performed separately. In addition, important tail foreground tokens and redundant head background tokens in vision are distinguished through the probability variance of token routing, and visual information mining is facilitated. And by enhancing the learning of the experts on the important tail foreground tokens in the vision, the important information in the vision can be more efficiently captured and learned. According to the method, the inference parameter quantity is kept unchanged while more advanced performance is realized on the backbone model of the pure visual mode and the multi-mode backbone model containing the visual mode.

The invention discloses a prefabricated temperature measurement system for a sleeve side of an all-insulation ring main unit. The prefabricated temperature measurement system comprises a wireless three-phase temperature sensor, a host module, an Internet of Things gateway and an in-situ monitoring terminal. A sensor probe is directly arranged in an insulating gap between a cable head and a sleeve, is made of a high-temperature-resistant insulating material and is internally provided with an electromagnetic shielding layer, and 2.4 GHz wireless communication is supported. A temperature rise rate analysis algorithm is built in the host module, an early warning mechanism is triggered when the slope k is calculated to be larger than or equal to 0.5 DEG C / h by adopting a least square method, and an environment temperature compensation factor is introduced to correct errors. A factory pre-integration + plug-and-play mode is innovatively adopted, rapid deployment is realized through a DIN guide rail and an anti-misplug aviation plug, and a dual-mode power supply system is matched at the current fault; the low-frequency sampling of the storage battery is automatically switched at 20A, and the wake-up period is dynamically adjusted through PWM. According to the scheme, the problems of large delay of traditional infrared temperature measurement, complex installation of a contact sensor and failure of small load are solved.

The invention discloses an island micro-grid distributed cooperative control method based on local information and a storage medium, and belongs to the technical field of micro-grids, and an island micro-grid system comprises a converter of network construction type control and network following type control. And according to local information, the network tracking type control adopts a maximum power point tracking point tracking (MPPT) algorithm to control power output. The reactive power of the network construction type control parallel converter is output and distributed according to the fixed voltage regulation droop coefficient; and the active power of the network construction type control parallel converter is output and distributed according to the frequency modulation droop coefficient adaptively updated based on local information. According to the method, power instruction distribution of island micro-grid and network type control and network construction type control is generated by local information, instruction distribution of upper-layer centralized control does not need to be carried out, plug and play, flexible reconfiguration and decentralized control of an island micro-grid inverter can be realized, and the method has relatively good practicability.

The invention relates to the technical field of industrial communication and Internet of Things, in particular to an IO-Link gateway system and method for heterogeneous protocol unification and edge enabling. Comprising a hardware layer, a protocol adaptation layer, a data processing layer, an intelligent computing layer and a communication interaction layer which are connected in sequence to achieve standardized conversion and edge intelligent processing of heterogeneous industrial data, and data time sequence consistency and system operation stability are guaranteed in the whole process. According to the invention, a plurality of heterogeneous industrial protocols are downwards and uniformly mapped to a technical path of an IO-Link international standard, and heterogeneous data are converted into a standard IO-Link object dictionary at a gateway level, so that field devices of different manufacturers and different protocols can carry out data interaction with a uniform and semantic-rich information model; therefore, plug-and-play of data is realized in the equipment access layer, and a solid foundation is laid for constructing an integrated industrial Internet of Things system.

The invention discloses a man-machine cooperative control system and method for shield pushing and splicing synchronization, and belongs to the field of shield tunnel engineering. The control system comprises a shield tunneling machine PLC module, an edge calculation module and a visualization module. The shield tunneling machine PLC module is connected with the shield tunneling machine and the edge calculation module for data transmission; the edge calculation module comprises a thrust redistribution unit and a processing unit, the thrust redistribution unit carries out thrust redistribution calculation on the oil cylinders according to the target propulsion parameters and the operation data, and speed parameters and thrust parameters of the grouped oil cylinders are obtained; the processing unit converts the parameters into control instructions and updates operation data of the shield tunneling machine; a shield tunneling machine digital twin model is stored in the visualization module, and according to the updated operation data, the oil cylinder working and segment assembling process of the shield tunneling machine and the segment ring posture are displayed. A plug-and-play system for pushing and splicing synchronization is constructed, effective transmission of various instructions and thrust distribution calculation results in the pushing and splicing synchronization process is achieved, and state visualization of the shield tunneling machine is achieved.

The invention discloses a pluggable Kubernetes cluster deployment method, a medium and equipment, and solves the problems of rigid deployment process, serious component coupling and low fault recovery efficiency in the prior art. The method comprises the following steps: receiving user module label combination and node resource information through a visual interface, and carrying out structured storage as a deployment context object; after the object is analyzed, a dependent support module is automatically identified and added, a cluster architecture mode is dynamically determined based on the number of Master nodes, and a DAG of a deployment task is constructed; module deployment is executed according to the DAG sequence, and only the fault module and downstream dependency thereof are retrying when failure occurs. According to the method, plug and play of the component is realized through label driving, a deployment process is dynamically arranged based on DAG, intelligent framework cutting is supported, accurate fault isolation and local recovery are realized, time consumption of component switching and resource occupation are greatly reduced, and deployment flexibility and operation and maintenance reliability are remarkably improved.

The invention discloses a hand-eye cooperative robot control system and method based on dynamic operator arrangement, an upper computer planning layer operates a master control computer to periodically trigger task scheduling, a joint controller of a lower computer execution layer receives an instruction through a redundant bus to perform servo control, hand-eye camera data triggers a visual assembly line through an interrupt event, and a visual assembly line is controlled through a control interface. According to the method, pressure is calculated through visual processing, motion planning and joint control in a load sharing mode, a double-buffering mechanism is adopted to enable current frame visual processing and previous frame motion control to be executed in an overlapping mode, real-time scheduling and parallel computing of tasks are completed, hot data are cached in a memory database, cold data are archived to an HDFS and migrated through an LRU strategy, and the real-time scheduling and parallel computing of the tasks are completed. Data type conversion is automatically derived and performed based on a feature type registry, and conditional branch execution is triggered according to real-time sensor data. According to the control system, cross-hardware plug and play, algorithm flow configurability and data flow real-time sharing are achieved, and the requirement for improving the efficiency of complex operation tasks is met.

The invention discloses a multi-brand and multi-model automatic identification control method and system for an intelligent fixed-line telephone, and belongs to the technical field of plug and play of communication peripherals. The method comprises the following steps: after a USB plugging event is detected, extracting multi-dimensional features such as a manufacturer ID, a product ID, a USB serial number and a user-defined identifier of a fixed-line telephone in sequence to form a multi-dimensional feature vector with clear priority; then, through a multi-stage progressive matching strategy of first-stage (VI + PID accurate matching)-second-stage (self-defined identifier supplementary matching)-third-stage (serial number + descriptor fuzzy matching)-second-stage (self-defined identifier supplementary matching)-third-stage (serial number + descriptor fuzzy matching)-second-stage (self-defined identifier supplementary matching)-second-stage (self-defined identifier fuzzy matching)-second-stage (self-defined identifier fuzzy matching)-second-stage (self-defined identifier fuzzy matching)-second-stage And aiming at the scene of feature missing or VAD / PID conflict, a fault-tolerant mechanism is built in the system: when the scene is missing, the universal DLL is used for reverse query confirmation and identification, and when the scene is conflict, candidate DLLs are cyclically loaded according to a brand market share sequence until the communication verification succeeds. The method is high in accuracy, multi-stage progressive matching and confidence evaluation are combined, and the error recognition rate is lower than 0.1%; zero sample online: the new type number can be connected for the first time to complete the adaptation in the second level, and manual maintenance is not needed.

The invention provides a simulation tool for a self-adaptive joint debugging device of a power distribution terminal. The simulation tool comprises a tool main body, a first connecting unit, a second connecting unit and a third connecting unit, the tool main body panel is provided with a power supply signal input interface, a power supply signal output interface and an interface combination corresponding to the simulation tool adapter ring main unit. The tool main body realizes that power supply signal analog quantity generated by the joint debugging device is input to the power supply signal input interface through the first connecting unit; the simulation tool adapts to an interface combination corresponding to the ring main unit to obtain a power supply signal analog quantity through internal wiring, and then the power supply signal analog quantity is sequentially transferred to a ring main unit interval through a second connecting unit; and the power supply signal output interface is used for outputting part of voltage signal analog quantity generated by the joint debugging device to the ring main unit through the third connecting unit. According to the invention, plug-and-play of the simulation tool on the ring main unit and the existing self-adaptive joint debugging device can be realized, and the convenience and reliability of the test are improved.

The invention discloses an electric power inspection exoskeleton modular structure, and belongs to the technical field of human body exoskeleton machine assistance, the electric power inspection exoskeleton modular structure comprises a supporting system, the supporting system comprises a back supporting plate, a waist supporting frame and thigh supporting rods, and a main body supporting frame is formed; the modular interface system comprises at least one group of mechanical interfaces, electrical interfaces and data interfaces which are uniformly distributed on a force transmission path of the support system; the functional module comprises a plurality of interchangeable power assisting modules, operation modules and protection modules, and the functional module is detachably connected with the supporting system through the modular interface system; a hybrid drive system includes a rigid driver and a flexible driver for providing position control and compliance force control, respectively. By means of the modular interface system, plug-and-play of functional modules such as power assisting, operation and protection is achieved, needed exoskeleton configuration can be rapidly assembled, multiple sets of exoskeleton equipment do not need to be arranged, and the equipment utilization rate and task adaptability are greatly improved.

The present application relates to the technical field of software engineering, and provides a device management method and apparatus, a device, and a storage medium, which are used for performing automatic identification when a device is connected, and enabling a corresponding function, thereby achieving plug-and-play of the connected device. The method comprises: when detecting that a device is connected to a port, an inverter identifies a device type of the connected device, and establishes a communication connection with the connected device if the device type of the connected device is successfully identified; furthermore, the inverter enables a function corresponding to the device type of the access device.

The application discloses a video question and answer modeling method based on a hierarchical selection framework, characterized in that: firstly, video data and text data are preprocessed to obtain video segment features, object features, question features, question word features and candidate answer features as inputs of a video question and answer model; video segment features, video frame features and object features are selected hierarchically from large to small according to time span and space span, and then are fused with question features to realize prediction of answers. The method can be combined with different pre-training models for training and fine-tuning, that is, plug and play; the video segment features, video frame features and object features related to questions can be selected hierarchically to realize extraction of question-related key features and filtering of irrelevant redundant information.

The invention discloses a multi-interface fingerprint identification card type USB flash disk, which belongs to the technical field of USB flash disks, and comprises a hardware core module, a software interaction module and a software-hardware combination module, the hardware core module is a physical basis of the USB flash disk, and is responsible for interface adaptation, fingerprint acquisition, data storage and state indication; the hardware core module comprises a multi-interface protocol module, a dual-master control cooperation module, a multi-specification plug-in card adaptation module and a fingerprint identification module; and the software interaction module is used for realizing fingerprint management, authority configuration and log recording functions through a four-layer architecture. In the use process, the plug-in type USB flash disk with the multi-interface fingerprint identification function is compatible with Lightning, TYPE-C and USB-A interfaces, adapts to multiple devices such as a computer, a mobile phone, a tablet computer and an industrial controller, does not need an additional adapter, is plug-and-play, improves the convenience of a use scene, is matched with a high-speed protocol of USB3.2 and above, gives consideration to the transmission efficiency and the device compatibility, has multiple permissions, and is convenient to use. And efficient protection of the information is realized through three-level permission classification.

The invention discloses a distributed cooperative control method and system for cluster temperature controllers, and relates to the technical field of temperature controller control. Comprising the following steps: establishing a temperature control consensus: establishing a temperature controller alliance chain, and adopting a practical Byzantine fault-tolerant algorithm to achieve a temperature control target consensus; sharing a prediction model: based on a federated learning architecture, each node locally trains a temperature prediction model and uploads a model parameter gradient to a cloud server for aggregation updating; global energy consumption optimization: adopting a multi-agent depth deterministic strategy gradient algorithm to carry out minimization optimization on the global energy consumption; and dynamic topology recombination: supporting plug and play of the equipment and automatically recombining the cluster topology according to the state of the equipment. According to the method, the information island problem is solved, sharing and privacy protection of the temperature prediction model are realized, global energy consumption is optimized, cluster temperature control consistency can be improved, energy utilization efficiency can be optimized, user comfort experience can be improved, hundred-level equipment expansion is supported, and complex scene requirements are met.

The invention discloses a plug-and-play power distribution terminal topology self-identification method and system, and relates to the technical field of power system power distribution network operation and maintenance, and the method comprises the steps: employing a modular hardware architecture and automatic identification configuration software, and constructing a plug-and-play intelligent terminal; through topological information acquisition, electrical parameter analysis and topological structure construction, the topological structure of the power distribution network is automatically identified and updated; and operation and maintenance decision support is provided for a master station system based on a power distribution network topological structure. According to the method, plug and play of the intelligent power distribution terminal can be realized, the intelligent power distribution terminal can quickly adapt to a complex and changeable network topology structure, and meanwhile, the beneficial effect of quick self-healing of a power distribution network fault is provided.