CN-121563445-B - Digital twin-driven college asset whole-flow collaborative management system

Abstract

The invention relates to the technical field of institution asset management and discloses a digital twin-driven full-flow collaborative management system for the institution assets, which comprises a service mapping module, a collaborative arbitration module and a logic verification module, wherein the service mapping module is used for adjusting administrative state vectors and physical state vectors of target assets, establishing an association mapping relation between the administrative state vectors and the physical state vectors to construct a logic entity, the collaborative arbitration module is used for determining a confidence coefficient attenuation rate according to service intensity levels and correcting a reference confidence coefficient to generate a real-time confidence coefficient, and the logic verification module is used for comparing the real-time confidence coefficient with a preset threshold value to trigger a physical perception instruction as required or directly feeding back a management decision result when receiving an administrative service request.

Inventors

• YU TING

Assignees

• 湄洲湾职业技术学院

Dates

Publication Date

20260512

Application Date

20260123

Claims (9)

1. 1. A digital twinning driven system for collaborative management of an asset process in an institution, comprising: The system comprises a service mapping module, a service mapping module and a service mapping module, wherein the service mapping module is used for calling an administrative state vector and a physical state vector of a target asset and establishing an association mapping of the administrative state vector and the physical state vector in a digital twin space so as to construct a logic entity representing the account consistency state of the target asset; A collaborative arbitration module for determining a reference confidence level of the logic entity based on the physical state vector, determining a confidence level decay rate according to a service heat factor, performing a correction process of time offset on the reference confidence level by using the confidence level decay rate to generate a real-time confidence level, wherein the service heat factor corresponds to a displacement frequency predicted value of the target asset in a current administrative period, the displacement frequency predicted value is not based on a current real-time observation but is based on a current time point extracted from a educational administration management system by a data synchronization interface to forward seven natural-day type service history average displacement frequencies, the higher the service heat factor is, the higher the confidence level decay rate is, and the collaborative arbitration module calculates the real-time confidence level The logic of (a) follows the following formula: , wherein, As a measure of the confidence level of the reference, For the preset attenuation coefficient to be a predetermined value, As a service heat factor, For the time difference of the current time relative to the last physical observation time stamp, the unit of the time difference is , Is a natural constant; The logic verification module is used for calling the real-time confidence coefficient and comparing the real-time confidence coefficient with a preset verification threshold value when receiving the administrative approval request for the target asset, generating a physical perception instruction to trigger the updating of the physical state vector and execute the physical verification action for the target asset if the real-time confidence coefficient is lower than the verification threshold value, and finishing the data updating of the physical state vector in response to the physical perception instruction if the real-time confidence coefficient is not lower than the verification threshold value, wherein the system automatically freezes the state evolution of the logic entity and directly feeds back the decision result for the administrative approval request.
2. 2. The digital twin-driven system for collaborative management of an asset flow in an institution of claim 1, wherein the collaborative arbitration module determines the business heat factor by processing logic that retrieves, via a data synchronization interface, the textbook schedule data of an administrative area to which the target asset belongs, identifies a teaching business class or a scientific research business class corresponding to a current timestamp, retrieves a corresponding quantized intensity coefficient in a preset intensity mapping table according to the business class, determines the business heat factor based on the quantized intensity coefficient, and calculates a confidence decay rate using the business heat factor.
3. 3. The digital twin-driven system for collaborative management of the whole flow of assets in an institution of claim 1, further comprising a supplemental verification module having an input coupled to the logic verification module for extracting a set of associated assets of the target asset in the digital twin space when the real-time confidence level is below the verification threshold and the feedback of the physical perception instructions is absent, the supplemental verification module defining a radius centered on the last updated spatial coordinates of the target asset Screening assets belonging to the same scientific research project group by combining scientific research project identifications in administrative state vectors to form an associated asset set, acquiring running state data of active entities in the associated asset set, identifying active entities with physical state vector update in the set, calculating logical confidence coefficient compensation increment by analyzing the running state data of the active entities and administrative association characteristics of target assets, and calculating the logical confidence coefficient compensation increment by the following steps: , wherein, The increment is compensated for the logic confidence level, For a confidence mean of active entities in the companion asset collection, For historical logical deviation coefficients of the target asset from the active entity, and by calculating the target asset's predecessor Arithmetic average value of distance residual values between physical observation coordinates and administrative authority area geometric center in natural days, and determining historical logic deviation coefficient And performing incremental correction on the real-time confidence level by using the logical confidence level compensation increment.
4. 4. The digital twin-driven system for collaborative management of the whole flow of assets in an institution of claim 1, further comprising a risk assessment module for calculating a rights drift risk based on the physical state vector and the administrative state vector, wherein the risk assessment module is configured to extract an authorized geographic area defined by the administrative state vector and determine a geometric center of the authorized geographic area, calculate a degree of spatial deviation of spatial coordinate data in the physical state vector relative to the geometric center, and generate a rights abnormality alert signal if the degree of spatial deviation exceeds a preset risk boundary and a residence time of the target asset in an unauthorized area exceeds a preset time threshold.
5. 5. The digital twin-driven system for collaborative management of an asset flow in an institution of claim 1, wherein the business mapping module performs chain tracing of administrative rights when creating a logical entity by obtaining an administrative department of a target asset, using a responsible person and a currently assumed scientific project identifier, and performs topology inclusion relationship verification on a jurisdictional region of the administrative department and spatial coordinate data in a physical state vector to determine administrative rights legitimacy of the logical entity.
6. 6. The digital twinning driven system for collaborative process management of assets in an institution of claim 1, further comprising a load sensing module for monitoring a real-time load status of a wireless communication network of the institution, wherein the load sensing module sends a threshold adjustment signal to the logic verification module when the real-time load status exceeds a preset congestion threshold, and the logic verification module reduces a value of the verification threshold in response to the threshold adjustment signal to reduce a frequency of generation of physical perception instructions by relaxing confidence tolerance when the network is congested.
7. 7. The digital twin-driven system for collaborative management of the whole flow of assets in an institution of claim 1, further comprising a track recording module for storing real-time confidence, business heat factors and associated data pairs of administrative approval requests at a preset sampling frequency to record a state evolution track of a logical entity, wherein the state evolution track is used for constructing an asset operation efficacy model and evaluating accounting consistency maintenance costs under different administrative periods.
8. 8. The digital twin-driven system for collaborative management of an asset flow in an institution of claim 1, wherein when the logic verification module outputs a decision, feedback logic is executed to attach a quantitative value of a real-time confidence as a confidence label to a feedback message of an administrative approval request, wherein the feedback message includes an automatic approval suggestion if the real-time confidence is in a preset safety interval, and wherein the feedback message includes a manual approval instruction if the real-time confidence is in a preset risk assessment interval.
9. 9. The digital twin-driven system for collaborative management of the whole flow of assets in an institution of claim 1, further comprising a data synchronization interface for performing heterogeneous data interactions with an external educational administration system and a scientific research project management system, wherein the data synchronization interface converts received business schedule data into a business state machine model recognizable by the collaborative arbitration module using a metadata conversion template.

Description

Digital twin-driven college asset whole-flow collaborative management system Technical Field The invention belongs to the technical field of institution asset management, and particularly relates to a digital twin-driven institution asset whole-flow collaborative management system. Background The current institution asset management generally adopts a mode of cooperative static account database of administrative approval flow, which assumes that administrative instructions and asset physical states have logic synchronism, but when the service density of the institution is increased, asset administrative operation nodes and physical displacement nodes show inherent asynchronous characteristics, so that a system lacks an effective conflict arbitration mechanism in a logic empty window period from approval instructions to physical feedback recovery, thereby inducing the technical problems of account entity inconsistencies and asset trace tracing invalidation, and aiming at the synchronous requirement of a physical layer, if a single path for improving physical perception frequency is adopted, high hardware deployment cost is generated, bandwidth congestion of a wireless communication network is induced, and because the prior scheme lacks deep association of service logics such as teaching task class arrangement, scientific research period and the like, the system is difficult to identify uneven distribution of asset flow risks in time dimension, redundant detection load is generated in the service rest period, and on-demand allocation of supervision resources cannot be realized due to lack of weight guidance in a priori in the high-frequency flow period. In addition to the mismatch of management flow and physical perception response dimension, the data control method has the defects that, for example, chinese patent publication No. CN121217822A discloses a water conservancy Internet of things concurrency processing method and device, data grading processing is realized through a three-dimensional value grading and self-learning mechanism, high load processing pressure is relieved, but in an asset management scene of an institution, a general concurrency processing mode depends on historical access heat and real-time load state feedback regulation, influence on asset fluidity by teaching scheduling and scientific research period strong priori business rules cannot be perceived, asset state data is isolated and regarded as to be processed data packets for throughput control, administrative rights and physical track logic alignment and arbitration capability are lacked, and the problem of low supervision efficiency caused by dynamic mismatch of administrative approval flows and asset physical objects cannot be solved from a root source in the face of cross-department asset occupation or complex circulation business. Therefore, how to provide a digital twin-driven system for collaborative management of assets in an institution, which can sense a service rhythm and realize status asynchronous consistency arbitration, so as to solve the problem of low supervision efficiency caused by dynamic mismatch of administrative approval flows and asset objects, and the system is a technical problem to be solved by the invention. Disclosure of Invention The invention provides a digital twin-driven system for collaborative management of assets in an institution, which comprises the following components: The business mapping module is used for calling an administrative state vector and a physical state vector of the target asset and establishing an association mapping of the administrative state vector and the physical state vector in a digital twin space so as to construct a logic entity representing the account consistency state of the target asset; The collaborative arbitration module is used for determining the reference confidence coefficient of the logic entity based on the physical state vector, determining the confidence coefficient attenuation rate according to the service heat factor, and executing correction processing of time offset on the reference confidence coefficient by utilizing the confidence coefficient attenuation rate to generate real-time confidence coefficient; the logic verification module is used for calling the real-time confidence coefficient and comparing the real-time confidence coefficient with a preset verification threshold value when receiving the administrative approval request for the target asset, generating a physical perception instruction to trigger the updating of the physical state vector and execute the physical verification action for the target asset if the real-time confidence coefficient is lower than the verification threshold value, and automatically freezing the state evolution of the logic entity if the real-time confidence coefficient is not lower than the verification threshold value, and directly feeding back the decision result for the administrative approval request. Prefer