501 results about "Plug and play" patented technology

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 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 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 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 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 spatial self-adaptive plug-and-play watermarking method and device for image editing traceability, and the method comprises the steps: obtaining the hidden space feature representation of an edited image through an image editing model according to an input original image and an editing condition; constructing a structured watermark grayscale image used for bearing image editing traceability core information, and encoding the structured watermark grayscale image into watermark potential features through a watermark encoder; based on the watermark potential features, watermark embedding of content and structure perception is realized in the submerged space, and the submerged space feature representation of the edited image with the watermark is acquired; and inputting the hidden space feature representation of the edited image into an image decoder, decoding the edited image into an edited image with a watermark, inputting the edited image with the watermark into a watermark decoder, extracting an embedded watermark grayscale image, and restoring complete traceability metadata information based on the watermark grayscale image. The device comprises a processor and a memory. According to the invention, high visual quality of the image is maintained while reliable traceability is realized.

The invention relates to a modular intelligent power distribution cabinet safety management method based on the Internet of Things, particularly discloses a modular intelligent power distribution cabinet safety management method based on the Internet of Things, and aims to solve the problems that a traditional power distribution cabinet monitoring system is poor in expansibility, weak in fault recognition capability and rigid in protection strategy. The method comprises the following steps: deploying a modularized sensing unit with a standardized interface to realize plug and play; multi-dimensional data of current, voltage, temperature and arc light are synchronously acquired at a high sampling rate; data are fused on the edge side through Kalman filtering, and key features such as harmonic distortion rate, voltage sag depth, temperature gradient change rate and electric arc energy accumulation value are extracted; performing dynamic risk assessment by using a five-layer deep belief network model, and triggering early warning when the high risk probability exceeds a threshold value; adaptively adjusting an overcurrent protection constant value, opening delay and isolation logic according to an evaluation result; and the edge-cloud coevolution is realized by continuously optimizing the model and the strategy through cloud reinforcement learning.

The invention relates to the technical field of intelligent warehouse logistics, and particularly discloses a warehouse logistics AI path planning system and method based on multi-modal dynamic optimization. The system comprises a multi-source data layer which aligns inventory data, traffic flow data and meteorological data of a warehouse management system (WMS) in real time through a sliding window synchronization mechanism, and ensures time-space consistency of multi-modal input; the dynamic fusion engine responds to a traffic interruption event within 3 seconds based on a space-time alternative path algorithm and generates an anti-interference optimized path scheme; according to the path decision core, a two-stage reinforcement learning architecture formed by a graph convolutional network (GCN) and a deep Q network (DQN) is adopted, static topology analysis and dynamic real-time characteristics are fused, and a final transportation path is output; the decision auditing module is used for recording Q value distribution of decision nodes, constructing a traceable path decision tree and automatically detecting regional distribution deviation through a quantization formula; and the zero-code compatible layer is used for presetting a standardized API template library and a rule compiler so as to realize plug-and-play integration with an enterprise resource plan (ERP) or a warehouse management system (WMS). Through multi-source data collaborative optimization, dynamic anti-interference decision and whole-process audit tracing, the real-time performance, robustness and transparency of warehouse logistics path planning are remarkably improved.

The invention discloses a modular sensor adaptive integration and data processing method and system in a complex terrain environment, and the method comprises the steps: constructing an extensible sensor sensing layer through a standardized interface module, and achieving the plug and play of various environment monitoring sensors; performing an inspection task in a complex terrain area based on a mobile device, and performing fusion processing on real-time data acquired by multiple sensors through an edge calculation layer; according to the environment data characteristics, the terrain complexity and the running state of the mobile device, the inspection behavior strategy of the mobile device is dynamically adjusted, and follow-up data monitoring and processing are carried out; the processed real-time data is uploaded to a cloud collaboration layer for collaborative analysis in a self-adaptive selection communication mode, and fundamental conversion from a static and fixed monitoring mode to a dynamic and adaptive mode is realized through modular sensor integration, mobile inspection, edge intelligent processing and self-adaptive communication; and the coverage rate, the efficiency and the intelligent level of environment monitoring are remarkably improved.

The invention discloses a bidirectional information retrieval enhancement generation method for a large language model, and belongs to the technical field of artificial intelligence. In order to overcome the defects that noise is introduced and key evidences are omitted due to the fact that traditional RAG only executes'query-document 'one-way retrieval, a two-way semantic perception retrieval enhancement generation model and a two-stage training framework are constructed, wherein in the first stage, the positive / negative example distance is increased in an embedded space in a contrast learning self-supervision mode; in the second stage, fine-grained correlation discrimination is carried out on query-document bidirectional sentences through supervised dichotomy, and probabilistic correlation scores are output; in the reasoning stage, the bidirectional probabilities are fused according to Bayesian to obtain final relevancy, document reordering is carried out, and plug and play can be achieved without fine adjustment of LLM in the whole process. According to the method, the accuracy and consistency of single-hop and multi-hop questions and answers and fact checking tasks are remarkably improved, and the method has the advantages of light weight and low deployment cost.

The invention provides a split type robot dynamic task flow engine system. Comprising a basic actuator used for generating a task instance according to an externally input task request; the operator set comprises at least one operator, and each operator is used for calling hardware resources of the corresponding function cabin to execute actions corresponding to the operator types when receiving an execution instruction of the basic actuator; the task model is used for maintaining identification, types, priorities and state information of task instances between the basic actuator and the operator set and supporting persistent storage and recovery of the task instances; and the communication cooperation module is used for providing a unified message transmission interface among the chassis, the functional cabin and the edge computing node of the split type robot so as to realize the transmission of instruction and state data between the basic actuator and the operator set. According to the invention, plug-and-play and dynamic adaptation of the cabin body, task scheduling based on capability, unified communication and state persistence can be realized, and task continuity is guaranteed.

The invention provides an intelligent courtyard management system and method. The system comprises a mowing robot, other courtyard intelligent equipment except the mowing robot, and a docking station. The mowing robot is connected with the other courtyard intelligent equipment through the docking station; the mowing robot is used for generating a scheduling instruction for the other courtyard intelligent equipment according to a trigger event, and sending the scheduling instruction to the other courtyard intelligent equipment through the docking station; and the other courtyard intelligent equipment is used for executing corresponding actions according to the scheduling instruction. The mowing robot is used as a core center and a mobile platform, the docking station is used as an equipment interface, unified scheduling and collaborative operation of intelligent equipment in the intelligent courtyard are achieved, and the docking station is plug-and-play and has no modification cost.

The invention belongs to the technical field of smart power grid information security, and provides a privacy protection system and method based on smart power grid distributed data aggregation. The method comprises the following steps: constructing a privacy core, a power grid state and a privacy grading data stream of an electric vehicle charging pile network; generating a one-time session blind factor by using the power grid interference characteristics to perform data encryption; channel interference is evaluated based on the power grid state, dynamic verification is carried out on the ciphertext, and interference confidence is generated; executing anti-interference aggregation in a ciphertext state according to the privacy grade and the credibility score; and finally, carrying out differential privacy enhancement on an aggregation result, and outputting security data capable of directly driving power grid services. According to the method, dynamic binding of the secret key and power grid disturbance, elastic fault-tolerant aggregation based on interference perception and differential privacy enhancement fusing data classification and credibility evaluation are realized, so that the problem of balancing privacy protection and data availability in a plug-and-play scene of the electric vehicle is solved.

The invention discloses an application method and equipment of an expandable multi-mode switching embedded software framework, and relates to the field of embedded software development, and the method comprises the following steps: by taking a mode scheduler as a core, defining and registering a mode object through an expandable mode standard interface; the mode scheduler executes the starting function of the initial mode and circularly executes the running function of the current mode, and the parameter manager manages parameters. When the fault detection processor detects a fault and sends a switching request, the mode scheduler calls a switching feasibility judgment function of the current mode to make a decision; and if so, executing old mode exit cleaning, parameter synchronization, new mode starting preparation, fault detection mounting and parameter loading, and putting into operation. According to the method, plug and play of the mode is realized, code modification is limited in the mode, and the mode content is managed and controlled in a centralized manner, so that the system maintenance cost is reduced, the expandability and the stability are improved, and safe and smooth switching and isolation management between the modes are realized.

The invention discloses an FISTA plug-and-play sparse radar imaging method based on adaptive regulation and control, which combines FISTA with deep learning prior, introduces reinforcement learning to carry out adaptive parameter regulation and control, and aims to significantly improve the automation degree, convergence rate and cross-scene robustness of an imaging process. The method is especially suitable for processing challenges of coexistence of different sampling rates, noise levels and scene complexity, and can effectively solve the problems that a traditional method depends on manual parameter adjustment, the calculation overhead is high, and the generalization ability is weak. According to the method, selection modeling of key hyper-parameters (such as step length, de-noising intensity and momentum coefficient) and a stop criterion is used as a Markov decision process, and an intelligent agent makes a decision adaptively according to a current reconstruction state, so that the problem is solved, and an advanced solution is provided for efficient and reliable radar imaging processing.

The invention relates to the field of medical monitoring, and discloses a multi-modal monitoring method, system and device based on hardware collaboration and a storage medium, and the method comprises the steps: quickly starting core monitoring after power-on, and supporting hot plug and plug-and-play access of medical equipment; multi-source access is carried out, a unified time axis is constructed through clock synchronization and resampling, and disconnection merging is supported; motion features are extracted to drive adaptive anti-interference, and abnormal authenticity is identified; based on redundancy observation and space-time alignment, weighting fusion parameters through consistency analysis, and intelligently judging and shielding low-quality channels; capturing an event trigger point, packaging a holographic structured event packet and establishing a bidirectional index; and constructing a full-time-sequence evolution view, executing association attribution and trend early warning, and feeding back an optimization algorithm through playback and redisk. According to the invention, the problems of low data quality, unexplainable alarm and traceability deficiency in an extreme dynamic environment are solved, and the requirements of pre-hospital first aid high-quality monitoring and rapid decision making are met.

The invention relates to the technical field of electric energy quality treatment, in particular to a collaborative treatment system and method based on multi-class electric energy quality adjustment resources. The system comprises an electric energy quality disturbance generation device, an electric energy quality interference source device, a harmonic current generation device, a line impedance simulation device, a data acquisition device, an electric energy quality diagnosis module and a coordinated scheduling module. According to the invention, independent or coupled simulation of various disturbance types such as voltage sag, harmonic wave, imbalance and flicker is supported based on various types of power quality regulation resources, optimal scheduling and cooperative control of various types of regulation resources such as source, network and load are realized, modular design is realized, plug and play and test verification of various treatment devices are supported, and the power quality regulation system is suitable for large-scale popularization and application. Through line impedance simulation and multi-working-condition setting, an actual power grid operation environment is approached, and the system is especially suitable for a high-proportion new energy and power electronic equipment access scene.

The invention provides a system and a method for enhancing adversarial robustness of a video language model. The system comprises a time sequence consistency adversarial sample generator, a robust visual encoder training module, a feature consistency optimizer and a plug-and-play integrated interface. The method comprises the following steps: firstly, generating a video confrontation sample with time sequence smoothness through a time sequence consistency confrontation sample generator; learning feature representation with invariant disturbance through a robust visual encoder training module; and finally, seamlessly replacing the robust visual encoder into any pre-trained video language model through a plug-and-play integrated interface. According to the method, the adversarial robustness of the video language model can be remarkably improved under an unsupervised condition, the classification accuracy is improved by 21.77% under strong adversarial attacks, meanwhile, the performance on clean data is kept, effective balance of safety and practicability is achieved, the engineering overhead is reduced through a plug-and-play deployment mode, and the method is suitable for popularization and application. And the expandability and practicability of the defense method are improved.

A method, apparatus, non-transitory computer readable medium, and system for image processing include obtaining a text prompt and a guidance parameter, where the text prompt describes an image element and the guidance parameter indicates a level of guidance intensity for the text prompt, computing guidance features based on the text prompt and the guidance parameter, and generating a synthetic image that depicts the image element based on the text prompt and the guidance features.

The embodiment of the invention relates to a multi-protocol self-adaptive BMS upper computer monitoring system and a data interaction method, and the system comprises a device access layer which is used for establishing a communication link between any BMS device and a BMS upper computer, and enabling the original data of the BMS device to be transmitted to the BMS upper computer; the protocol analysis layer is used for receiving the original data transmitted by the BMS upper computer and analyzing the original data according to a specified rule to obtain standard data; the data service layer is used for receiving the standard data, integrating and packaging the standard data and then providing a data interface for calling; the application function layer is used for calling the data interface, so that the system can process data from any BMS equipment with a consistent interface and logic; wherein the protocol analysis layer is designed with a protocol driving library, and the protocol driving library comprises implementation of a driving library interface IMcuDriver and implementation of an abstraction class driver Abstraction McuDriver; according to the invention, plug-and-play and unified management of the heterogeneous BMS equipment can be realized.

The invention relates to the technical field of industrial automation control, in particular to an automatic equipment numbering system and method based on an industrial field bus. The method comprises the following steps: broadcasting an initial address seed through a main controller, and sequentially setting incremental addresses for equipment by adopting a chain transmission mechanism in linear topology; exclusive address fields are dynamically divided in the bifurcation topology, buffering is reserved, and hierarchical chain type numbering is started by branch head equipment; monitoring an equipment state in real time, recovering an offline address to an address pool for priority allocation of new equipment, and automatically expanding an upper limit of an address field when the address is exhausted; a conflict risk prediction model based on multi-modal data fusion is introduced, and the crossing from passive processing to active early warning is realized through adaptive adjustment of detection frequency and a preventive reset mechanism. According to the invention, plug-and-play deployment of equipment without manual intervention is realized, and the automatic management level and reliability of an industrial bus network are remarkably improved.

The invention discloses a self-adaptive identification and dynamic drive loading method and device for a password keyboard of a self-service payment machine. According to the system, VID, PID, firmware version, SN number and instruction fingerprint four-dimensional features of a keyboard are captured in parallel through a hardware detection engine, model matching is completed by using a hash table of O (1) time complexity, and online feature collection and block chain evidence storage updating are started when matching fails; and then, dynamically loading the driving module signed by the TPM, and realizing zero-interruption hot injection of the key through a double-buffering mechanism. Compared with the prior art, plug-and-play adaptation of any USB / serial port password keyboard can be completed within one second, a secret key can be updated without restarting equipment, meanwhile, an instruction fingerprint verification and block chain trusted link is provided, the development and maintenance cost is remarkably reduced, the safety is improved, and the method is suitable for ATM, POS and various self-service payment terminals.

The invention relates to the technical field of computer input equipment, in particular to mouse and gamepad dual-mode input equipment and a control method thereof.The control method comprises the steps that a data signal sent by a mouse body is received through a signal processing device, and a working mode is switched between a first mode and a second mode according to a mode switching instruction; when the game handle is in the second mode, the displacement increment and the key state are converted into a rocker control signal and a key control signal which accord with a control protocol corresponding to the target game handle; and packaging the rocker control signal and the key control signal into a USB (Universal Serial Bus) data frame conforming to a control protocol corresponding to the target gamepad. According to the invention, signal conversion and protocol packaging functions are completely integrated into independent signal processing device firmware; therefore, the inherent problems of input delay, system resource occupation and conflict with a game anti-cheating system of a traditional PC end software mapping scheme are solved, and plug-and-play compatibility which is the same as that of an original handle is achieved.

The invention discloses an automatic route construction method based on topology information carried by a registration message and a controller. The method comprises the following steps: an edge gateway obtains topological information of a service device mounted under the edge gateway, packages the topological information, a gateway identifier and a northbound interface IP address of the edge gateway into a UDP registration message, and sends the UDP registration message to a controller; and the controller receives and analyzes the UDP registration message, establishes a mapping relation from the MAC address of the service device to the northbound interface IP address of the edge gateway to which the service device belongs in a global forwarding table, and determines a target edge gateway according to the global forwarding table when an original data frame sent to a target service device is received, thereby realizing accurate forwarding of the data frame. According to the application, the plug and play of the southbound service device and the automatic construction of the route can be realized, the complexity and cost of network operation and maintenance are reduced, the network storm is avoided through accurate forwarding, and the stability of a large-scale industrial network is improved.

The invention discloses a multi-agent ecological collaboration method and system based on an MCP protocol, and the method comprises the steps: understanding a composite operation intention in a natural language request of a user through a large model, and dynamically planning a target agent sequence and a collaboration workflow from a plurality of field agents following an MCP protocol standard based on the composite operation intention; standardized tool interfaces of all domain agents are called in sequence through an MCP client side so as to execute corresponding domain service logic, intermediate execution results and state data are transmitted in real time in the process, finally, all output results are gathered and processed through an agent arrangement framework and returned to a user terminal, and a related global knowledge graph is synchronously updated. According to the method, the agent interaction standard is unified through the MCP, and the dynamic arrangement capability of a large model is combined, so that plug-and-play and flexible collaboration of cross-domain agents are realized, and the problems of difficulty in integration, solidification of a collaboration process and difficulty in automatic processing of complex cross-domain tasks caused by interface heterogeneity of a multi-agent system are solved.

The invention discloses a multi-source heterogeneous industrial equipment protocol adaptation and unified access system aiming at the problems of multi-protocol adaptation, plug and play, flexible expansion and intelligent management, and belongs to the technical field of industrial internet. The system comprises a sensing access layer which is used for establishing physical connection between industrial equipment and a unified adaptation layer and receiving and forwarding heterogeneous protocol data from the industrial equipment; the unified adaptation layer is used for analyzing the heterogeneous protocol data and converting the original heterogeneous protocol data into standard data in a unified format; and the application service layer is provided with a standardized data access interface and is used for providing standard data in a unified format for a user. According to the method, the equipment protocol barrier is broken, the access complexity is reduced, and the system expansibility and the intelligent level are improved.