1040 results about "Digitality" patented technology

The invention relates to a digital finance and taxation auditing method based on artificial intelligence, and the method comprises the following steps: S1, obtaining electric finance and taxation multi-source data, and carrying out the preprocessing of the data, and obtaining the preprocessed electric finance and taxation multi-source data; s2, constructing a finance and taxation knowledge graph according to the preprocessed power finance and taxation multi-source data; s3, constructing a multi-modal risk detection model, and obtaining a risk event list and a whole-course data traceability path according to the finance and taxation knowledge graph and the real-time electric finance and taxation multi-source data; s4, according to the risk event and traceability, based on a rule model, generating a structured decision instruction set including all key information and traceability links; and S5, converting the structured decision instruction set and the finance and tax knowledge graph into a standard relation graph for input, and dynamically displaying fund flow, risk events, abnormal aggregation and traceability paths among enterprises through D3. Js rendering. According to the invention, the efficiency and reliability of electric power digital finance and taxation auditing are significantly improved.

The invention discloses a digital intelligent management method and system for hydraulic engineering construction, particularly relates to the technical field of hydraulic engineering construction management, and is used for solving the problems of regulation lag and insufficient environmental disturbance adaptability of an existing method under the action of multi-physics field coupling. According to the method, a concrete three-dimensional temperature field model is established, initial regulation and control parameters are generated, and a heat conductivity coefficient under the seepage influence is corrected based on space-time relevance of pore water pressure and temperature data; the constraint boundary is dynamically adjusted in combination with the construction progress and the material strength curve, a cooling water pipe coordinated regulation and control matrix is constructed, and target flow instructions of space differentiation are generated through the included angle between the distance and the water flow direction; setting a lag time threshold and optimizing an execution time sequence according to the thermal inertia parameter, splitting the threshold and allocating a weight coefficient when the environmental wind speed suddenly changes, and finally updating the model parameter and the regulation and control instruction; accurate temperature control response and abnormal heat conduction suppression under multi-field coupling are achieved, and the structural safety and construction efficiency under complex working conditions are improved.

The invention relates to a power grid construction management and control method based on three-dimensional digital twinning, and relates to the technical field of power grid construction management and control, and the construction management and control method comprises the following steps: S1, a three-dimensional digital twinning model construction stage: constructing a power grid project high-precision three-dimensional model based on BIM, and superposing GIS geographic data to generate a construction scene three-dimensional digital twinning model; s2, in a construction process dynamic mapping stage, processing data of the multi-source data acquisition module in real time through an edge computing node; s3, optimizing a construction management and control decision; s4, a dynamic risk management and control stage; and S5, an execution feedback stage: forming a closed loop of three-dimensional digital twinborn model construction-construction rehearsal analysis-decision-execution-model updating. According to the power grid construction management and control method based on the three-dimensional digital twinning, the construction management and control process can be transformed from extensive experience driving to data intelligent driving, and high-reliability and high-adaptability digital infrastructure support is provided for novel power system construction.

The invention relates to the technical field of building design and digitization, and discloses an automatic design method for a special-shaped facing structure based on parametric modeling. The method comprises the following steps: firstly, acquiring a geometrical characteristic parameter set of the special-shaped facing structure, wherein the geometrical characteristic parameter set comprises curved surface curvature distribution, boundary constraint conditions and a material attribute threshold value; thirdly, according to the curved surface curvature distribution, generating an initial geometric topological grid by using a dynamic subdivision algorithm, adjusting node positions according to boundary constraint conditions to obtain an optimized structural framework, and performing layered mapping on material attribute thresholds to generate a material distribution map; then, the input parametric modeling engine generates a three-dimensional parametric model, finally, a self-adaptive adjustment strategy graph is constructed through a multi-objective optimization algorithm, and a final design scheme is output. By means of the method, automation of design of the special-shaped facing structure is achieved, design efficiency and accuracy are improved, material utilization is optimized, scheme adaptability is enhanced, and design process collaboration is improved.

The invention discloses an electrical work ticket intelligent generation method and device, a medium and equipment in the technical field of power systems, and aims to solve the problems of serious module decoupling, dependence on manual connection and insufficient intelligent generation capability in the prior art. The method comprises the following steps: generating a required digital knowledge base and an electrical work task description generation work ticket based on a pre-constructed work ticket by utilizing a multi-model collaborative generation architecture; the multi-model collaborative generation architecture comprises a rule driving module used for calling a corresponding template based on task element matching; the task execution unit is used for executing a specific subtask according to a pre-deployed lightweight model or rule engine; and the large language model is used for performing semantic understanding and reasoning according to the electrical work task description, calling the rule driving module and the task execution unit according to a semantic understanding and reasoning result, and generating a work ticket in combination with a digital knowledge base required by work ticket generation. The method has both the accuracy of structured knowledge recognition and the flexibility of natural language generation.

The invention relates to the technical field of construction stage management, in particular to a BIM-based road construction digital management system, which comprises a component parameter acquisition module, a process topology construction module, a state trigger mapping module, a logic conflict judgment module and a scheduling path adjustment module. According to the method, through continuous collection and analysis of the component state, dynamic monitoring of the connection state, geometric intersection and contact time is achieved, the construction change sensing capacity is improved, the dependency relationship is constructed in combination with component space adjacency and time overlapping, the dispatching path and field matching degree is enhanced, and through linkage updating of the component state and model attributes, the construction efficiency is improved. According to the method, the execution state is visual and controllable, scheduling reconstruction is carried out after time dependence conflicts are recognized, synchronous updating of model views is completed, a closed-loop dynamic scheduling mechanism is formed, the task allocation accuracy, the flow connection efficiency and the field scheduling response capability are integrally improved, and the real-time performance and the intelligent level of construction management are enhanced.

The invention discloses a surface mine digital safety production management method and device and a medium, and relates to the technical field of intelligent mines, and the method comprises the steps: collecting rock mass physical and mechanical parameters of a gold mine mining area and three-dimensional geometric morphology data of a blasting working face, and taking the parameters as physical constraint conditions to construct a digital twinborn body; a preset target blasting scheme is called to be input into the element reinforcement learning agent, multi-round simulation deduction is carried out through a blasting scheme evaluation strategy, and a simulation deduction result is generated; when the peak particle vibration velocity in the simulation deduction result exceeds a preset peak particle vibration velocity threshold value, generating a parameter adjustment suggestion; and the parameter adjustment suggestion is fed back to the element reinforcement learning agent for iterative optimization until the peak particle vibration velocity does not exceed a preset peak particle vibration velocity threshold, and a blasting scheme is generated. Through autonomous exploration of the meta-reinforcement learning agent in the blasting parameter space, the blasting scheme evaluation strategy with adaptability and reliability can be efficiently generated.

The invention discloses a flow field video generation method based on a policy value architecture and online physical exploration, and belongs to the technical field of crossing of artificial intelligence and computational fluid dynamics (CFD), and the method comprises the following steps: step 1, constructing an unsteady flow field multi-modal training data set, step 2, constructing a generative network system based on an Actor-Critic architecture, step 3, constructing an unsteady flow field multi-modal training data set, and step 4, constructing an unsteady flow field multi-modal training data set. Step 4, supervised fine tuning training is carried out in the first stage; step 5, online physical exploration of a generator is carried out in the second stage; step 6, feedback co-evolution of a physical encoder is carried out in the third stage; and step 7, reasoning generation of an unsteady flow field video is carried out. According to the method, a reinforcement learning architecture containing an Actor and a Critic is constructed, a physical equation is packaged into a digital environment, and a training strategy of basic supervision fine tuning, online physical exploration of a generator and coevolution feedback of an encoder is adopted.

The invention relates to a visual narrative generation method oriented to a Chinese ancient time sequence image. Coherent creation under a historical context is realized through multi-modal collaboration and knowledge guidance. According to the algorithm, a culture-enhanced CLIP-ct model is adopted to carry out multi-modal feature fusion, an ornamentation semantic layer is expanded in a traditional CLIP architecture, and visual culture symbols such as traditional painting features and clothing patterns are accurately decoded; constructing a KG-Transform hybrid generation framework, and fusing a knowledge graph through a dynamic knowledge gating mechanism; meanwhile, culture conflict detection is designed to ensure time consistency, and finally plot development is optimized through Monte Carlo tree search to ensure rationality and creativity of plots. According to the method, an extensible technical normal form is provided for the field of cultural computing, the method can be applied to scenes such as cultural relic digital narration and non-cultural skill inheritance, and intelligent decoding and innovative expression of traditional cultural resources are promoted.

The invention discloses a multi-modality-based minority non-abandoned pattern knowledge graph construction method and system, and relates to the technical field of cultural heritage digital protection. Deep association of multi-modality knowledge is realized through a double-path entity relationship extraction mechanism, context semantics are coded by a text path by utilizing a pre-training language model, and a multi-modality knowledge graph is constructed; the method comprises the following steps: accurately extracting entities such as a pattern and an inheritor, a semantic relationship and a visual path, analyzing a pattern topological structure through a graph convolutional network, converting visual features such as lines and contours into structured relationship data, calculating cosine similarity of a text and a visual feature vector through comparative learning, establishing cross-modal mapping of the visual features and culture description, and obtaining a visual feature model; according to the mechanism, the knowledge graph simultaneously contains semantic logic and visual feature association, and construction of a complete knowledge chain from a pattern form to cultural connotation is realized.

The invention provides a matching recommendation method and system based on large-model digital talent inventory, relates to the technical field of artificial intelligence and human resource management, integrates large-model analysis, employee portrait modeling, intelligent matching recommendation and visual display of comparative analysis, has the characteristics of automation, high precision and interpretability, and is suitable for popularization and application. The problems of difficult man-post matching, inaccurate talent evaluation, opaque selection process and the like are solved, and digital talent selection and intelligent decision making are realized.

The invention discloses an AI-based digital value-added service method for claim and debt demand analysis, and the method comprises the steps: receiving a claim and debt original file set uploaded by a client, and generating a structured clause element set which comprises clause types, core elements and expression mode features; generating a risk quantification label of each key term based on the structured term element set; inputting the structured clause element set and the risk quantification label into a pre-trained clause value-risk collaborative optimization model, and generating a group of optimization clause revision suggestion sets for maximizing a user set value target on the premise of risk controllability; revising the suggestion set for the optimization terms, and generating a feasible revision strategy sequence sorted according to the adaptation degree; and based on the feasible revision strategy sequence, determining a final term revision scheme and matched risk slow release measure suggestions, and taking the final term revision scheme and the matched risk slow release measure suggestions as output of the digital value-added service. According to the embodiment of the invention, the accuracy and decision-making efficiency of credit and debt management can be improved.

The invention relates to the technical field of logistics management, in particular to a digital logistics management system and method. The method comprises the following steps: collecting multi-dimensional environmental parameter field data around a cargo and biochemical index change data of a cargo body; constructing a permeability coefficient matrix of the cargo based on the multi-dimensional environmental parameter field data and the biochemical index change data according to a preset material library, wherein the permeability coefficient matrix is obtained by quantifying the interaction rate between different environmental factors and the material of the cargo; and calculating the current environmental influence intensity based on the permeability coefficient matrix and the multi-dimensional environmental parameter field data, and performing thermodynamic coupling analysis in combination with the biochemical index change data to obtain quality entropy increase rate data. According to the method, the problem that the cargo quality change is difficult to accurately monitor, predict and actively protect in the logistics process is solved through a method of combining the establishment of the permeability coefficient matrix and thermodynamic coupling analysis, and the whole-course digital management from environmental perception to quality guarantee is realized.

The embodiment of the invention provides a Petri network-based digital twinborn model construction method, system and device and a medium, and belongs to the technical field of information. The method comprises the steps that a Petri network model for enterprise operation is constructed and used for describing concurrent, asynchronous and distributed behaviors in an enterprise business process, the concurrent, asynchronous and distributed behaviors in the enterprise business process comprise places and transitions, the places represent states or conditions in the process, and the transitions represent activities or events in the process; based on a Petri network model, a library and a changed physical carrier in the Petri network model are analyzed, and the digital twinborn model of the enterprise operation business is classified according to an analysis result to construct the digital twinborn model of the enterprise operation business. By introducing the Petri net, elements such as objects, activities, events, state transition and the like are fused into a digital twinborn modeling process, and the problem of digital modeling of a complex business process is effectively solved.

The invention discloses a digital cultural tourism management system based on multi-source data analysis, and the system comprises a multi-source heterogeneous data collection module which is used for collecting tourist behavior data, environment data, cultural resource data and third-party platform data in real time; the user demand intelligent analysis module is used for constructing a dynamic user portrait through the multi-modal interaction data and identifying dominant and implicit demands; the culture knowledge graph construction module is used for generating a reasonable multi-dimensional knowledge network based on culture resource attributes and historical data; the travel route dynamic generation module is used for generating a personalized touring route in combination with the user portrait, the real-time environment and the resource state; according to the digital cultural tourism management system based on multi-source data analysis disclosed by the invention, the utilization rate of cultural resources is greatly improved, and the decision response speed is increased; the cultural cognition depth of tourists is improved, and the residence time of the tourists is prolonged; the damage rate of high-sensitivity cultural relics is reduced; and the special group culture acquisition efficiency is improved in a breakthrough manner.

The invention discloses a central control system of a digital multimedia exhibition hall, and relates to the technical field of central control systems, a time-space correlation analysis module constructs a fault propagation probability graph of exhibition hall equipment and audience behaviors, and a coupling degree analysis module verifies a cross-layer causal relationship by using a directional disturbance injection method based on the fault propagation probability graph; a coupling degree index is fitted by analyzing an incidence matrix of a resource scheduling operation and a fault propagation chain, a dynamic priority decision module fits a fault propagation cost gradient, the coupling degree index and the fault propagation cost gradient are input into a priority function, and a collaborative priority of a short-term suppression action and a long-term eradication action is calculated. And the strategy execution module calls the execution sequences of the two types of actions through the interface of the central control platform, and executes corresponding strategy actions. The central control system is not only high in dynamic adaptive capacity, but also capable of responding to audience demands and equipment state changes in real time, improving exhibition management efficiency and enhancing immersive experience of audiences.

The invention discloses a concrete structure tall formwork supporting system stress deformation actual measurement method, and relates to the technical field of constructional engineering structure safety, the method comprises the following steps: determining initial stress distribution reference data through a pre-established supporting system geometric model database, and determining final construction adjustment guidance data; according to the final digital construction scheme, a construction safety assessment report is automatically generated, final conclusion data of safety assessment is determined, a result is fed back to the design optimization module through the data transmission module, and the unsolved uneven stress or deformation problem is extracted from the feedback data; obtaining input parameters of a new round of design optimization, and obtaining a continuously improved design iteration result; according to the actual measurement method for stress deformation of the high and large formwork supporting system of the concrete structure, the design rationality and construction safety of the high and large formwork supporting system are improved, and intelligent and digital whole-process management and control are achieved.

The invention relates to the technical field of power transmission lines, in particular to a power transmission line disaster toughness digital design method, which comprises the following steps: acquiring real-time environment parameters of a power transmission line, and calculating a comprehensive risk index based on the real-time environment parameters; calculating a ratio of an icing thickness change rate to a historical same-period average change rate based on the icing thickness sequence to obtain an icing risk index; obtaining a difference value sequence of galloping amplitudes of the power transmission line in adjacent monitoring time periods, and calculating a ratio of a variance of the difference value sequence to a historical galloping variance mean value to obtain a galloping risk index; and generating a comprehensive disaster early warning level based on the icing risk index and the galloping risk index, and adjusting a current load limit value of the power transmission line based on the comprehensive disaster early warning level. The unmanned aerial vehicle is used for monitoring the icing thickness, the vibration sensor is used for monitoring the galloping amplitude, different factors possibly influencing the safety of the power transmission line are comprehensively captured, and the comprehensiveness and accuracy of disaster early warning are improved through multi-dimensional monitoring.

The invention discloses a digital intelligent temperature control air cooling system for an engineering vehicle, relates to the technical field of intelligent temperature control, and accurately judges the specific working condition of the engineering vehicle through a working condition recognition model, so that a temperature control strategy can be customized and finely adjusted according to different working conditions; then the future temperature change trend is predicted through the working temperature prediction model, so that cooling is started or enhanced in advance, the problem of response lag of a traditional temperature control system is fundamentally solved, temperature overshoot is effectively avoided, the reliability of an engineering vehicle is improved, and the service life of parts is prolonged; and the energy consumption of accessories such as a fan is remarkably reduced through fine control, and the comprehensive benefits of improving the whole vehicle performance and reducing the maintenance cost are finally achieved.

The invention provides a large aqueduct intelligent temperature control system and method based on a digital twinning technology, and relates to the technical field of aqueduct temperature monitoring. A three-dimensional digital model of an aqueduct is constructed, and geometric parameters of the three-dimensional digital model are corrected through three-dimensional point cloud data of the aqueduct, so that the temperature of the aqueduct can be accurately controlled. Thermodynamic simulation calculation is carried out based on the three-dimensional digital model to obtain a simulation result, the aqueduct concrete temperature field simulation result is compared with the collected aqueduct temperature to obtain temperature deviation, parameters of thermodynamic simulation calculation are corrected according to the temperature deviation, and therefore the simulation result is updated, and the accuracy of the simulation result is improved. According to simulation results obtained after geometric parameters of the three-dimensional digital model and parameters obtained after thermodynamic simulation calculation are corrected, the water flow of the corresponding water pipe is controlled for cooling, local targeted cooling is achieved, and the problem that targeted cooling cannot be achieved for too high local hydration heat in the prior art is solved; the method is suitable for intelligent temperature control in the hydration heat process of the large aqueduct.

The invention discloses a control system digital model verification method, and relates to the technical field of digital control systems, and the method comprises the steps: S1, analyzing and obtaining a simulation model; s2, obtaining a hierarchical relationship of each index, distinguishing a qualitative index and a quantitative index, and determining weight information of each index; s3, obtaining verification data of the bottom layer verification index through a test; s4, performing data preprocessing on the verification data to obtain reference data for model verification; s5, acquiring a bottom-layer index in the indexes, and acquiring a verification value of the bottom-layer index; and S6, according to the weight information and the verification value of the bottom layer index, obtaining a model comprehensive verification evaluation result based on a weighted average comprehensive calculation formula. The invention also provides a control system digital model verification system. The method has the advantages of accuracy, stability, reliability and wide verification range.

The invention discloses an AI-based digital culture space full-process intelligent collaborative display system, and relates to the technical field of intelligent collaborative display. The AI-based digital culture space full-process intelligent collaborative display system comprises a data acquisition and construction module used for acquiring three-dimensional point cloud data and text information of a museum to be displayed, and constructing a museum structure display model based on the three-dimensional point cloud data and the text information; the behavior acquisition and analysis module is used for acquiring historical video stream time sequence data and extracting a user behavior index set; the comprehensive response analysis module is used for analyzing the user behavior response index of each collection based on the user behavior index set; the initial display regulation and control module is used for carrying out initial display regulation and control based on the user behavior response indexes, and optimal display regulation and control are carried out on each collection through the local semantic coordination indexes analyzed in the optimal display regulation and control module, so that the collection with the high response index is matched with a preferential visual display position; and thus, the space coordination and the culture vein continuity of the whole display model are enhanced.

The invention relates to the technical field of metal processing and digital control, and discloses a digital control method and system for copper strip rolling production, and the method comprises the steps: obtaining a technological parameter sequence and a surface image in a rolling process in real time; analyzing the dynamic change trend of the process parameter sequence to obtain parameter fluctuation characteristics; if the parameter fluctuation characteristic exceeds a preset fluctuation threshold value, identifying a microscopic adhesion position of the copper strip surface image and determining a complete distribution map of an adhesion range; analyzing by combining defect features extracted from the complete distribution map and the process parameter sequence to obtain a parameter interaction weight; and based on the parameter interaction weight, generating optimized process parameter configuration and adjusting an equipment operation state. According to the method, the problem that the control precision of the dynamic defects on the surface of the copper strip is insufficient in the prior art is solved by establishing the dynamic correlation between the process parameters and the surface defects and performing data-driven closed-loop control.

The invention provides a transformer substation civil engineering digital design system based on a domestic BIM platform, and the system comprises a building design module which is used for constructing a building professional model through employing a building component library; the general drawing design module is used for generating a general drawing professional model based on a parametric modeling technology; the water supply and drainage system digital design module is used for generating a water supply and drainage pipeline design scheme according to the water supply and drainage professional component library and determining a water supply and drainage professional model; the heating and ventilation system digital design module is used for determining the fan equipment model and the air pipe diameter according to the professional building model and determining a professional heating and ventilation model; and the multi-specialty cooperation module is used for carrying out online synchronous modification and real-time updating processing on the building specialty model, the general drawing specialty model, the water supply and drainage specialty model and the heating and ventilation specialty model. According to the method, building, general drawing, water supply and drainage and heating and ventilation multi-specialty collaborative design is achieved based on domestic BIM platform construction and through the parameterized modeling technology, and the design efficiency and the achievement standardization are improved.

The invention relates to the technical field of vacuum circuit breakers, and discloses a digital deep fusion outdoor high-voltage vacuum circuit breaker which comprises a shell, a protection base is arranged on the shell, a placement groove is formed in the protection base, a plug is arranged in the placement groove, a digital unit used for inserting the plug is arranged on the protection base, and a protection shell is arranged on the shell. The protective shell is used for blocking an opening of the placing groove, a fastener is arranged on the protective shell, and the fastener is used for realizing mutual fixation of the protective shell and the protective base. The protective shell is mounted on the protective base through the fastener, so that the protective base and the protective shell can protect the digital unit; therefore, the digital unit can be stably fixed with the plug, the external damage to the digital unit is reduced, and the digital unit is not easy to damage due to rainwater.

The invention relates to the technical field of digitization, in particular to a digitization transformation project operation system and method.The digitization transformation project operation system comprises a data intelligent core layer, an elastic infrastructure layer, a man-machine cooperation layer, a safety compliance layer and a value operation layer, and the data intelligent core layer is used for achieving cross-business-domain data management and AI model full-life-cycle management; the data credibility and the model practicability are ensured; according to the method, the defects of cross-service domain data rights and responsibilities disorder and insufficient sensitive information protection due to adoption of a centralized architecture in traditional data governance, and resource waste caused by AI model development and operation and maintenance splitting are overcome; according to the scheme, the service domain sovereignty is divided through the distributed data governance framework, the field-level authority control is realized in combination with the dynamic desensitization technology, and the AI model full-life-cycle management platform is established, so that efficient collaboration of cross-domain data and automatic recovery of model resources are realized, the data credibility and the model practicability are remarkably improved, and the risk of data abuse is reduced.

The invention discloses a non-missing digital display system based on virtual reality, and relates to the technical field of non-missing three-dimensional display. The non-legacy digital display system based on virtual reality comprises a data acquisition unit used for acquiring basic state data and test state data of non-legacy items; the model construction and analysis unit is used for constructing a three-dimensional display model of the non-legacy piece and carrying out feature extraction and analysis to obtain a display model feature set; the judgment and analysis unit is used for analyzing the comprehensive evaluation index of the display model and comparing the comprehensive evaluation index with a preset evaluation interval; and the display unit is used for outputting a three-dimensional display model of the non-legacy piece when the evaluation index is within a preset interval. The three-dimensional coordinate data, the surface image data, the material light reflection data, the surface friction touch data and the knocking vibration response data are comprehensively analyzed and are incorporated into the display model; and it is ensured that the displayed non-legacy items are closer to the behavior performance of real objects.

The invention provides a digital control method and system based on cosmetic production characteristics, and belongs to the technical field of data processing.The method comprises the steps that firstly, a digital twinborn model of cosmetic product characteristics is built, and the model is related to formula data, technological parameters, sensory characteristics and physicochemical indexes of a product; and output sensory characteristics and physicochemical indexes can be predicted according to input formula data and process parameters. Then, order demands at least containing one or more sensory characteristic preferences of product texture, skin feeling and fragrance are obtained; then, one or more recommended production parameter sets are determined based on the recommended production parameter set order requirements and the recommended production parameter set digital twin model, the recommended production parameter sets defining corresponding recipe data, process parameters and sensory characteristics. And finally, controlling production equipment to execute production according to the recommended production parameter set. According to the invention, accurate control from personalized sensory requirements to production parameters is realized.

The invention provides a city Internet of Things equipment digital identity generation method and system, and belongs to the field of Internet of Things, and the method comprises the steps: S1, based on the digital demands of various industries of a city, defining the rules of Internet of Things equipment identification, and generating a triple of the Internet of Things equipment identification; s2, performing security guarantee on the triple by using an asymmetric encryption algorithm and a dynamic authority control method; and S3, based on the rule and the mechanism, realizing credible binding of the device identity by adopting a lightweight encryption protocol, and generating a digital identity containing identification registration, analysis and authentication functions by adopting a distributed storage technology. The city Internet of Things equipment digital identity code with uniqueness, traceability and tamper-resistant capability generated by the method can be used for supporting credible interconnection and security collaboration of the city Internet of Things.

The invention discloses a digital workshop multi-equipment collaborative operation control system based on industrial Internet of Things, which relates to the technical field of industrial Internet of Things collaborative control and comprises a data acquisition module, a health degree evaluation module, a collaborative scheduling optimization module, an instruction control module, a dynamic rescheduling module and a verification updating module. According to the method, a dynamic equipment association network is constructed, so that health degree evaluation considering the coupling influence between equipment is realized; and based on multi-source data fusion monitoring and real-time deviation analysis, a closed-loop dynamic rescheduling scheme subjected to physical and security verification is triggered and generated, and meanwhile, a system knowledge base is continuously updated by utilizing operation process data. According to the scheme, equipment isolation evaluation is converted into system coupling evaluation, so that static scheduling is upgraded to closed-loop dynamic control with self-adaption and continuous optimization capabilities, and the overall toughness and operation efficiency of multi-equipment collaborative operation are enhanced.