653 results about "Collaborative management" patented technology

The invention discloses a digital twinning-based flow machine operation intelligent collaborative management system, and the system comprises an operation data collection module which is used for obtaining multi-source data in a target scene and carrying out the preprocessing of the multi-source data; the twinning modeling module is used for constructing a flow machine operation digital twinning model and generating a twinning operation initial situation; the space-time path analysis module is used for constructing a time hierarchical path network and generating a path conflict cone set and a feasible space-time path set; the operation load calculation and scheduling module is used for establishing task link representation, generating a storage yard congestion potential field and forming a multi-stream-machine cooperative scheduling candidate scheme; and the virtual-real correction module is used for issuing execution and collecting operation feedback, correcting the twin model and generating an optimized target collaborative scheduling scheme. According to the method, the space-time-behavior-link coupled digital twinborn model is constructed to realize flow machine operation predictive collaborative scheduling, and the method has the advantages of conflict recognition in advance, congestion trend suppression and remarkable improvement of scheduling efficiency.

The invention relates to the technical field of constructional engineering informatization management, and discloses a constructional engineering full-period collaborative management and risk prediction system, which comprises a resource token definition module, a resource token generation module, a resource management module and a risk prediction module, and is characterized in that physical elements are mapped into discrete resource tokens configured with unit time delay charge rates; the process transactional modeling module is used for packaging the process into an atomic transaction unit containing a request and a release instruction; the discrete event rehearsal simulation engine executes circulation in the virtual time axis and records the hanging duration; the deadlock detection module monitors the occupancy topology in real time to identify a loop waiting closed loop; according to the dynamic priority arbitration logic, an accumulated lag weight value is calculated according to the product of the rate and the duration, resources are forcibly allocated accordingly to eliminate deadlock, the dynamic arbitration algorithm based on the time value gradient is constructed, the physical lag cost is converted into the calculation weight, and the capacity of the system for automatically converging to the optimal solution under complex constraints is improved.

The invention discloses a municipal road intelligent construction and collaborative management method based on digital twinning, and belongs to the field of digital twinning, and the method comprises the steps: S1, building a unified data twinning body composed of BIM, construction monitoring, environment and equipment data; s2, real-time synchronization of the virtual model and the entity is realized through time sequence mapping; s3, performing full-period control by adopting a multi-agent collaborative optimization algorithm; s4, embedding a risk evolution prediction model to carry out structure and material risk assessment; s5, multi-work-type tasks are distributed based on scene hierarchy; s6, progress self-checking and closed-loop control are achieved through two-way communication; s7, performing multi-stage data fusion to realize model consistency updating; s8, establishing a full life cycle carbon emission and energy consumption evaluation system; and S9, outputting a comprehensive decision report, and realizing integrated management of planning, construction and operation and maintenance. The method has the beneficial effects of improving construction efficiency and decision-making precision.

The invention discloses a construction site material RFID tracking and BIM collaborative management system, particularly relates to the field of constructional engineering digital management, and is used for solving the problems of evidence chain breakage, progress labeling forking and acceptance certificate deviation caused by tag and component corresponding failure due to replacement and splitting operations. Time mark correction events are unified through an identity mapping module, tag keys are established to correspond to model keys in a one-to-one mode, an evolution sealing module detects change to generate a new instance and constructs a father-son pedigree redirection event, and a causal chaining module organizes read-write events into a monotonic sequence and promotes a state. And the mutual identification judgment module fuses the identity chain and the space path evidence to calculate a decision coefficient to trigger backtracking correction, and the iterative archiving module summarizes a check result to optimize rules and solidifies snapshots, so that full-link traceability and collaborative consistency of materials from entrance to installation are realized.

The invention belongs to the technical field of power grids, and discloses a collaborative optimization method, system, equipment and medium based on a virtual power plant operator and a producer, and the method comprises the following steps: S1, building a power-carbon collaborative management framework of the virtual power plant operator and the producer; s2, constructing a double-layer game model based on the power-carbon collaborative management framework; the upper layer is an operator, the lower layer is a consumer, the operator calculates the node marginal electricity price and the node carbon intensity through the optimal power flow and issues the node marginal electricity price and the node carbon intensity to the consumer, and the consumer optimizes scheduling based on the node marginal electricity price and the node carbon intensity and submits an electricity purchasing and selling curve; and S3, solving the double-layer game model by using a distributed iterative algorithm of a penalty function, and realizing adaptive optimization of model solving by introducing a penalty term to obtain an optimal power-carbon collaborative strategy.

The invention belongs to the technical field of artificial intelligence, and discloses a large model memory management and optimization system and method based on a vector data lake. Comprising a multi-dimensional memory vectorization coding and hierarchical management module, an intelligent retrieval and dynamic updating module, and a memory optimization strategy and interactive evaluation and cyclic adjustment optimization module based on a reflection and backtracking mechanism. According to the large model memory management and optimization system and method based on the vector data lake, a multi-dimensional and hierarchical memory storage and dynamic retrieval framework is constructed, collaborative management of long-term / short-term memory is supported, efficient reasoning, knowledge reuse and continuous learning ability of an intelligent agent in a complex dynamic task are achieved, and the system and the method have the advantages that the system and the method are simple and convenient to operate. Therefore, the robustness, the adaptability and the task migration capability of the intelligent system are remarkably improved.

The invention relates to the technical field of collaborative management, in particular to a business collaboration method based on a process engine, which comprises the following steps: acquiring approval process nodes and post fields, establishing node parameter mapping, extracting customer reconciliation process field paths, generating a field coverage set, analyzing contract archiving responsibility actions, and constructing a responsibility sequence link. And matching a financial reimbursement process cooperation path, correcting an offset node to generate a cooperation task flow, calculating an internal instruction process node priority, and generating a task triggering list. According to the method, the node fields and the role identifiers in the approval process are obtained, the field consistency mapping relation is constructed, and a field continuous path screening mechanism is combined, so that the penetrating power and the tracing accuracy of parameters among cross-process nodes are improved, and the sequence of node responsibilities has a verifiable logic chain; through a node offset detection and path connectivity construction mode, accurate task execution sequence control is provided in multi-source task scheduling.

The invention provides a construction site laboratory digital management method and system based on information sharing, and the method comprises the steps: firstly collecting the information sharing demands of a quality supervision mechanism, a project owner, a grade detection mechanism, a construction site laboratory and other subjects on the business processing, supervision and guidance, cooperative management and other aspects of the construction site laboratory; secondly, building a multi-subject adaptation module by utilizing an NET research and development framework, selecting and combining functional modules according to acquired requirements to complete building, then setting a transfer node and associating subject operation authority based on a sub-pressing sharing requirement type so as to dynamically configure an information sharing approval process, and then utilizing a front-end tool with a table editing function to complete the information sharing approval process. Sharing information items are integrated according to business scenes, transfer nodes are associated, a scenarized sharing information template is generated, finally, directional information sharing among multiple subjects is executed based on the scenarized sharing information template, feedback information is collected to optimize adaptation module function combination and information sharing approval process configuration, and construction site laboratory digital efficient management is achieved.

The invention relates to the technical field of power system control, in particular to a source network load storage collaborative management and control method and system. According to the technical scheme, the source network load storage collaborative management and control system comprises a panoramic perception and digital twinning module, a collaborative optimization decision module and a closed-loop control and execution management module; according to the method, a closed-loop self-adaptive correction mechanism based on digital twinning and model prediction control is introduced, the execution effect of an instruction, the actual response of a controlled object and latest ultra-short-term prediction data are fed back to a digital twinning model in real time, the model serves as a system synchronously evolved and continued with a physical power grid, and the real-time performance of the model is improved. The method does not depend on a preset strategy any more, instant response can be made to various disturbances inside and outside, and the effects of coping with uncertainty and maintaining safe and stable operation of the system are remarkably improved.

The invention relates to the technical field of power systems and energy management, and discloses an energy-carbon integrated virtual power plant multi-agent collaborative management and control method and system, and the method comprises the steps: S1, constructing a three-layer control architecture comprising a resource sensing layer, a region coordination layer and a global optimization layer; s2, establishing an energy-carbon coupling state space model, and outputting a target optimization result by taking photovoltaic output, energy storage charging and discharging power, a load demand elastic coefficient and a carbon emission right transaction volume as input variables; s3, generating a scheduling instruction by adopting a rolling optimization strategy; and S4, realizing multi-agent collaboration through a distributed consistency algorithm, exchanging power deviation information by each node based on a local constraint condition, and carrying out iterative calculation until the power deviation of all nodes is less than 1%. A three-layer control architecture is constructed, scheduling lag is shortened through decision making and stage processing of the global optimization layer after preprocessing of the regional coordination layer, the limitation of a single node is broken through through cross-regional coordination, and the overall operation efficiency of the virtual power plant is enhanced.

The invention discloses a multi-dimensional identification-based intelligent operation, maintenance and management method and system for power equipment, and relates to the technical field of intelligent operation, maintenance and management of the power equipment, and the method comprises the steps: carrying out the multi-level decomposition of enterprise-level, station-line-level and equipment-level indexes, binding with an MID, and building a mapping table; constructing a multi-level strategy library and a template system, carrying out dynamic binding of strategies and equipment according to multi-dimensional information, generating a candidate strategy set, combining an equipment portrait with index binding data, and outputting dynamic defect intensity based on defect statistics and an EWMA smoothing method; and constructing a multi-target optimization model based on the candidate strategy set, the equipment portrait and the mapping table, performing global optimization calculation, and generating a strategy combination in a period. According to the method, the equipment portrait is constructed through the multi-dimensional identification, the multi-target optimization model is constructed in combination with strategy library dynamic binding and defect intensity analysis, efficient collaborative management of strategies, resources and equipment is achieved, and the accuracy and the intelligent level of operation and maintenance decision making are improved.

The invention relates to the technical field of enterprise resource management, in particular to a mobile observation project full-process collaborative management method, which comprises the following steps: acquiring multi-dimensional observation data and an elevation model of a to-be-observed area, and accessing an inventory node to construct a digital instance library; constructing a collaborative constraint graph based on the data, calculating a grid node operation deployment resistance index and an accessibility factor, and generating an admission control matrix; traversing the instance library to obtain an efficiency portrait, and calling an element matching model to evaluate a matching index and generate a circulation work order; receiving a stress accumulation log in the logistics process, executing stress recovery evaluation to generate an inventory freezing time window, and dynamically updating a task scheduling time axis; and executing project compliance auditing and evaluating a business consistency index, generating a performance qualification voucher, and incorporating the nodes updated to be in the in-service state into a resource allocation scheduling queue. According to the invention, through dynamic cooperation of the multi-dimensional environment constraint and the equipment stress, the whole-process accurate management of assets is realized.

The invention belongs to the field of Web application technology, XML document processing technology and online editor technology, and discloses an XML semantic editing system based on an aviation knowledge graph. The system comprises a front-end application module, an XML processing engine module, a DTD rule verification module, a visual editing module, a plug-in extension module, a collaborative editing module and an aviation knowledge graph integration module. According to the method, professional and efficient editing of XML documents in the aviation field is achieved through the full-process design of front-end interaction, XML processing, DTD verification, visual editing, semantic assistance and collaborative management, and the Web technology, the XML processing technology, the DTD verification technology, the knowledge graph technology and the collaborative editing technology are integrated, so that the XML documents in the aviation field are edited in a professional and efficient mode. The problems that an existing XML editing tool is difficult to deploy, poor in compliance, low in efficiency and weak in cooperation in the aviation maintenance field are solved, and a specialized and efficient XML semantic editing scheme is provided for the aviation maintenance industry.

The invention provides an industrial project cross-department collaborative approval and supervision system based on trusted computing, and relates to the technical field of cross-department processing, and the system comprises an extraction module which is used for triggering an intelligent contract deployed on an alliance chain based on an on-chain evidence storage record, generating an approval event, and sending the approval event to a server; according to the data integrity, the process time sequence and the operation behavior characteristics in the approval process event, each behavior characteristic is quantified into a risk index corresponding to each dimension through a preset risk model, and a set of the risk indexes of each dimension forms a multi-dimensional vector; through on-chain credible evidence storage, multi-dimensional risk measurement, dynamic credit evaluation and closed-loop regulation and control, precision, credibility and dynamic optimization of industrial project cross-department collaborative approval and supervision are realized, approval efficiency and supervision efficiency are improved, and scientificity and safety of collaborative management and control are guaranteed.

The invention relates to the technical field of remote monitoring, in particular to a TBM remote monitoring method based on a multi-level collaborative management architecture, which is applied to a remote comprehensive monitoring platform. The platform comprises a construction operation layer, a construction management and control layer and a decision support layer, each monitoring scene forms a local block chain ring by a plurality of construction surface nodes, and an integral block chain ring is integrally formed. The method comprises the steps of collecting construction state data, performing standardization processing, and inputting the data to an equipment risk identification model and a geological evaluation model for construction state analysis; based on local anomaly detection, deducing an anomaly propagation path, calculating the reverse coverage capability of each non-abnormal local circle, and determining a decision block chain circle; and performing node locking and decision switching through the abnormal isolation control smart contract, and generating a decision instruction based on a multi-objective optimization algorithm. According to the method, the abnormal self-healing capability and the dynamic decision-making efficiency of the TBM construction monitoring system are improved.

The invention relates to the technical field of intelligent manufacturing and supply chain collaborative management of woven garments, in particular to a garment production process management system based on artificial intelligence, and the system comprises a production network management center which is used for obtaining a node execution entropy value; the demand dynamic analysis unit is used for carrying out feature extraction analysis on the collected unstructured design data to obtain an order complexity coefficient; the strategy game matching unit is used for obtaining a steady-state scheduling signal or a recovery scheduling signal; when a steady-state scheduling signal is generated, the collaborative scheduling execution unit is used for generating a global optimal scheduling instruction, and minimizing turnover time is taken as an optimization target; when a recovery scheduling signal is generated, the collaborative scheduling execution unit is used for generating a risk recovery scheduling instruction, taking a minimum node execution entropy value as an optimization target, and actively inhibiting pursuit of turnover time; according to the method, the problem that the hidden risk of the node cannot be sensed in the prior art is effectively solved, and an accurate quantitative basis is provided for subsequent preventive scheduling.

The invention relates to the technical field of vulnerability detection, can be applied to business scenes such as financial science and technology, medical health and the like, and discloses a dependency processing method, device, equipment and medium for a multi-component project, which comprises the following steps of: analyzing description files of different component types in a multi-language project, extracting dependency data to generate unified dependency description; the method comprises the following steps: constructing a panoramic dependency graph containing component nodes and dependency edges, identifying version constraints of the component nodes to generate a unified constraint model, determining a compatible version combination by processing the constraint model, extracting a multi-component operation environment configured with a tool during installation and operation of environment configuration data, and installing project dependency according to the compatible version combination. And scanning the panoramic dependency graph based on the vulnerability information source to generate a repair instruction for updating the vulnerability component version. According to the method, centralized analysis and collaborative management of multi-language dependency are realized through unified dependency description and constraint models, and conflicts are reduced and the consistency and security of the system are improved in combination with environment configuration and a loophole repair closed-loop process.

The invention relates to the technical field of intelligent safety monitoring, and discloses a fire hazard identification method and system based on a multi-modal large model. According to the method, standardized preprocessing is carried out on field multi-modal data through a unified timestamp system and a quality evaluation mechanism; vision, text and sensor features are extracted and aligned by using a pre-trained deep learning model, adaptive feature fusion is realized by using an attention mechanism of scene perception, hidden danger recognition and confidence evaluation are completed through a hierarchical classification network and an uncertainty quantification method, and structured rectification suggestions are generated based on template matching and multi-target optimization. And progressive model updating of experience playback and collaborative management of RESTful API (Application Program Interface) are supported. According to the invention, the accuracy and efficiency of fire hazard identification can be effectively improved, and intelligent decision support is provided for safety management.

The invention provides a process digital collaborative management method and system based on a data unified exchange platform, and belongs to the technical field of industrial software and intelligent manufacturing, and the method comprises the steps: constructing the data unified exchange platform, so as to achieve the data exchange among a process management system, a PLM system and a production management system; in the process management system, based on the EBOM obtained from the PLM system, constructing and managing a multi-state process BOM including a basic PBOM, a trial-production PBOM and a production PBOM; and a collaboration mechanism is constructed through a data unified exchange platform, so that business collaboration based on the multi-state process BOM is realized. According to the method, the problems of data consistency and flow collaboration which troubles the manufacturing industry for a long time are solved, and key technical support is provided for enterprises to realize digital transformation and intelligent upgrading through efficiency improvement, quality guarantee, cost control and knowledge precipitation.

The invention relates to the technical field of distributed file management, and discloses a college cross-campus distributed file collaborative management system. The system comprises a file operation sensing module, a collaborative strategy decision module and a distributed execution engine module. The file operation sensing module is deployed at each campus file server node, captures user editing operation and converts the user editing operation into an operation feature vector set with a timestamp; the collaborative strategy decision-making module generates a conflict probability matrix by analyzing the operation feature vector, and generates a transmission path scheme and a real-time synchronization instruction in combination with a network state and load data; and the distributed execution engine module is responsible for analyzing the instruction, adjusting transmission parameters, processing conflicts and generating a global audit tracking report. According to the system, refined perception, conflict pre-judgment, intelligent transmission, dynamic synchronization and comprehensive auditing of cross-campus file operation are realized, the efficiency and reliability of college cross-campus file collaborative management are improved, and the system is suitable for a multi-campus college file collaborative management scene.

The invention discloses an intelligent construction site multi-dimensional collaborative management method based on BIM and Internet of Things, and the method comprises the steps: carrying out the grouping processing of data through employing a clustering algorithm according to a unified data set after fusion, classifying the data of similar processes, and carrying out the recalculation through adjusting a clustering center if a grouping result shows that the data distribution is not uniform, determining an inter-process logic dependency relationship graph; the method comprises the following steps: acquiring real-time field update data as input through a complex coupling process sequence, predicting the completion time of each process in the sequence by adopting a neural network model, judging whether a prediction deviation is within an allowable range or not, and obtaining an accurate progress prediction result; and deducing a result through a final dynamic resource demand, generating a summary report for a project end process, carrying out mapping display on the result by adopting a visual tool, judging whether a construction period requirement is met or not, and obtaining complete construction management output.

The invention discloses an intelligent mine multi-subsystem cooperative comprehensive management method based on federal transfer learning, and the method comprises the steps: carrying out the pre-training of a deep neural network through an industrial equipment data set and historical desensitization data based on a central server, and obtaining an initial global feature extraction model, distributing global model parameters of the initial global feature extraction model to a plurality of local nodes; receiving global model parameters based on each local node, constructing a localized model, and performing local adaptation training on the localized model by using local private data; feature extraction layer parameters obtained after adaptive training of the localized model are uploaded to a central server, the central server aggregates the feature extraction layer parameters uploaded by all the local nodes, updates the current global feature extraction model, generates a new global feature extraction model and distributes the new global feature extraction model to each local node, and the local nodes send the new global feature extraction model to the local nodes. And repeating the process until the model converges to obtain a collaborative comprehensive management model of the collaborative comprehensive management system based on the global feature extraction model after evolution.

The invention relates to the technical field of intelligent construction management, and discloses a construction collaborative management system and method based on robot actual measurement data, and the system comprises a building information model module which stores a BIM model containing a process logic chain; the measurement robot cluster performs actual measurement according to the process logic chain and generates an actual measurement data set; the data twin engine is used for comparing the measured data set with the BIM model, generating a deviation matrix and constructing a collaborative health degree model; the collaborative decision-making module is used for hierarchically generating a local correction instruction or a global dynamic adjustment instruction set according to the health degree index; and the collaborative management terminal is used for visual display. The method corresponds to the system. According to the invention, automatic acquisition, intelligent analysis and dynamic collaborative decision-making of construction quality data are realized, the problems of low efficiency, insufficient coverage and feedback lag of a traditional method are solved, and the automation and intelligent level of construction collaborative management is improved.

The invention relates to the technical field of data processing, and discloses a supply chain trusted data collaborative management method and system based on a multi-modal block chain, and the method comprises the steps: constructing a data modal sensing unit through the multi-source heterogeneous original data of a supply chain; generating a data classification evidence storage list in combination with the differential evidence storage rule base of the supply chain and the multi-source heterogeneous original data; according to service scene requirements and network operation states, consensus mechanism adaptation standards of the supply chain in different service scenes are defined; configuring a consensus strategy scheduler of the supply chain based on a consensus mechanism adaptation standard; and calculating a global performance state index of the supply chain to generate a collaborative optimization instruction of the data classification evidence storage list and the consensus strategy scheduler. According to the method, the credibility and the collaborative management efficiency of the multi-source heterogeneous data of the supply chain can be improved.

The invention relates to the technical field of electric power storage, and particularly discloses an electric power storage resource global collaborative management method and system, and the method comprises the steps: constructing an electric power professional warehouse data graph with an Internet of Things physical ID as a core node, the Internet of Things physical ID being a unique physical identifier of an electric power storage resource; associating material data of a safety supervision warehouse, a regulation and control warehouse and a logistics warehouse, and integrating key data entities of a safety tool verification system, a scheduling equipment management system and a work order management system; a unified data format and a data mapping rule are defined, and standardized interaction of cross-system heterogeneous data is achieved. According to the method, standardized real-time synchronization of cross-system data is realized by constructing a power professional warehouse data graph and relying on an internet of things entity ID active synchronization engine; by using a multi-dimensional rule engine, based on a professional warehouse type-material attribute-business scene three-dimensional rule base, accurate management and control are provided for warehouse-in, warehouse-in, warehouse-out and exception handling of materials, and the asset utilization efficiency is effectively improved.

The invention discloses a coal type sales planning and sales time collaborative management and control method and system based on a coal enterprise, and relates to the technical field of coal sales management. Multi-source data are integrated through technologies such as a data fusion algorithm, the problems of data dispersion and different formats are solved, high-quality data support is provided for follow-up analysis, the sales trend and price fluctuation are accurately predicted by applying a long-short-term memory neural network and a regression analysis model, enterprises are assisted in optimizing sales strategies, the inventory overstock risk is reduced, and the sales quality is improved. By means of linear programming and reinforcement learning algorithms, sales tasks are dynamically adjusted in combination with real-time data, market response speed and sales efficiency are improved, scientificity and flexibility of sales management of coal enterprises are effectively improved, and market competitiveness is enhanced.

The invention discloses a nursing task dynamic scheduling and path optimization collaborative management method and system, particularly relates to the technical field of nursing task scheduling, and is used for solving the problems of unnecessary movement distance accumulation and emergency response delay caused by task transmission and path planning disjunction in the existing cross-shift handover process. Generating a to-be-handed-over set by obtaining uncompleted task points; evaluating the complexity of the path movement decision tree of each task point; mining a cross-shift task chain and calculating a time efficiency entropy; generating a space-time value based on the complexity and the aging entropy to select a dynamic handover anchor point; tracking an anchor point value attenuation rate in real time and triggering anchor point updating; generating an initial path and an emergency re-planning path based on the dynamic anchor point position; a redundant path moving from a fixed starting point to a first task point is eliminated through a space-time value driven anchor point dynamic decision, and rapid path response of an emergency task is realized by using the real-time position of an anchor point.

The invention discloses a cross-domain data collaborative management method based on edge computing. The method comprises the following steps: S1, acquiring data to form a time series data set; s2, extracting features of time sequence data at edge nodes, and generating a state vector sequence; s3, inputting the state vector sequence into an edge decision network for weighted aggregation to generate a collaborative state sequence; s4, detecting a behavior change point of the collaborative state sequence by adopting a cumulative sum control chart method, and constructing a state mapping sequence; s5, based on the state mapping sequence, constructing a region index set through discrete wavelet transform; s6, inputting the regional index set into an edge decision network to generate a management instruction sequence; and S7, executing the management instruction sequence at the edge node, and updating the edge decision network based on an execution result. According to the method, multiple intelligent algorithms are fused to realize data collaborative management of cross-domain edge nodes, and the response efficiency and decision-making ability in an edge environment are improved.

The invention discloses a design parameter collaborative management method and device for a BIM platform, and relates to the technical field related to BIM, and the method comprises the steps: importing a forward design scheme of a thermal power plant into the BIM platform, and generating a design model; performing multi-dimensional accident tracing according to the design model to obtain an accident association map; obtaining a design adjustment space based on the demand and the map adjustment scheme; performing multi-dimensional risk prediction based on the BIM platform and the risk model to generate a risk prediction map; optimizing the adjustment space based on the prediction map and the risk constraint; through disturbance injection optimization, a final forward design optimization result is obtained, so that the technical problems of low design efficiency and difficulty in guaranteeing design quality caused by dispersed design parameters and insufficient collaboration of the thermal power plant in the forward design process of the traditional thermal power plant are solved, and multi-dimensional accident fitting tracing, risk prediction, optimization and other means are realized. The collaborative management level and design quality of the forward design parameters of the thermal power plant are improved, and the accident risk is reduced.

The invention discloses an in-transit transportation collaborative management and exception handling method and device and a storage medium, and the method comprises the steps: building a transportation state dynamic monitoring mechanism, and collecting the departure state, in-transit position and transportation progress data in real time; automatically detecting transportation abnormity based on a preset rule, identifying departure delay, route deviation, aging overrun and goods damage conditions, and generating early warning information; creating a multi-party cooperative processing channel, and synchronously notifying a dispatcher, a carrier and a field manager when a transportation abnormality occurs; an exception handling tracking mechanism is established, and the whole process from exception discovery to handling completion is recorded; and constructing a transportation data analysis model, optimizing an abnormal early warning threshold value and a processing scheme based on historical transportation data, and regularly generating a transportation efficiency report. According to the invention, a complete management closed loop from state monitoring, abnormity identification and cooperative processing to data analysis is established, discovery and rapid response of transportation abnormity are realized, and the problems of information lag and low cooperative efficiency of a traditional management mode are solved.