Construction progress and equipment cluster collaborative virtual display system based on digital twinning

Abstract

The invention discloses a construction progress and equipment cluster collaborative virtual display system based on digital twinning, relates to the technical field of digital twinning, and solves the problems of data packet loss, error sequence and the like easily caused by blind calculation power distribution during protocol conversion. An efficient processing rhythm of complete coverage and less repetition is realized, display lag caused by data backlog is avoided, resource waste caused by invalid processing is reduced, the real-time synchronization capability of the digital twin model is ensured, the acquisition frequency and time of each monitoring node are determined, the normalization and timeliness of data acquisition are ensured, and the real-time performance of the digital twin model is improved. Data source errors caused by fuzzy acquisition logic are avoided, high-quality and traceable original data support is provided for subsequent processing and display, protocol difference node segments are accurately positioned, and dynamic pre-distribution of computing power is realized by combining historical data quantization conversion characteristics and required computing power.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital twinning, in particular to a construction progress and equipment cluster collaborative virtual display system based on digital twinning. BACKGROUND

[0002] In the field of building construction, construction progress control and equipment cluster collaboration has long been plagued by data fragmentation, low processing efficiency, virtual-real mapping deviation and other pain points.

[0003] Under the traditional management mode, the monitoring node collection logic is not unified, and data omission or repeated collection is easy to occur; the data processing period depends on experience setting, and it is difficult to balance "real-time" and "resource utilization rate", often leading to digital twin model display lagging behind the actual scene; the data protocol difference between multiple devices is large, and packet loss and out-of-order are easy to occur due to unreasonable allocation of computing power during protocol conversion, affecting the reliability of collaboration; at the same time, there is a lack of effective virtual-real data verification mechanism, and the deviation between virtual model and actual construction state is difficult to detect in time, increasing the progress delay and safety risk.

[0004] On the one hand, the monitoring node lacks unified collection logic specification, and the collection frequency and time are chaotic, which is easy to cause data omission or repeated collection, resulting in uneven data source quality; on the other hand, the data processing period depends on artificial experience setting, and it is difficult to balance "full coverage" and "efficient processing", often causing the digital twin model to update lagging behind the actual construction state; at the same time, the data protocol difference between multiple devices is significant, and data packet loss and out-of-order are easy to occur due to blind allocation of computing power during protocol conversion, affecting the reliability of collaboration; and there is a lack of real-time and effective virtual-real data verification mechanism, and the deviation between virtual scene and actual working condition is difficult to detect in time, increasing the progress delay and safety control risk.

[0005] Under this background, it is urgent to build a digital twin system with full-link collaborative optimization to solve the above management problems. The system forms a data-driven full-link optimization mechanism through the collaborative operation of the monitoring feature confirmation end, the processing period confirmation end, the processing logic confirmation end and the feature verification processing end. SUMMARY

[0006] In view of the deficiencies of the prior art, the present application provides a construction progress and equipment cluster collaborative virtual display system based on digital twinning, which solves the problem of packet loss and out-of-order caused by blind allocation of computing power during protocol conversion.

[0007] To achieve the above purpose, the present application realizes the following technical scheme: a construction progress and equipment cluster collaborative virtual display system based on digital twinning, comprising: a monitoring feature confirmation end, which confirms the monitoring features associated with different monitoring nodes of the equipment cluster; The processing cycle confirmation end confirms the monitoring features associated with different monitoring nodes within a specified cycle, confirms a set of processing times from the confirmed monitoring features, records the monitoring nodes included in the processing time, and selects the optimal processing cycle from the different processing features recorded at different processing times. The processing logic confirmation end determines the sequence of acquisition nodes associated with the optimal processing cycle based on the confirmed optimal processing cycle, then confirms the conversion process from the sequence of acquisition nodes, and confirms the calibration time associated with each conversion process based on historical data of the corresponding conversion process in the historical process. Combining the calibration time, the processing logic associated with the sequence of acquisition nodes is determined and output.

[0008] Preferably, the monitoring characteristics include the monitoring frequency and the associated monitoring time.

[0009] Preferably, the processing cycle confirmation terminal confirms the processing time in the following ways: Several sets of processing times are generated within a specified period, which is a preset period. The current time is the processing time. Based on the generated processing times, the processing time period associated with the corresponding processing time is determined, and the processing time is ∈ the specified period. Based on the different monitoring characteristics associated with different monitoring nodes, the monitoring times associated with the corresponding monitoring nodes are marked within the processing period, and the processing characteristics associated with the processing period are determined: the total number G of different monitoring nodes monitored within the processing period is recorded. i Where i represents different processing time periods, and the total number H of several monitoring nodes in the device cluster is then confirmed synchronously, using: G i ÷H=ZB i Confirm the proportion of features associated with the corresponding processing time period (ZB) i Then, the duplicate monitoring nodes that appear during the processing period are marked synchronously, and the number of repetitions associated with the duplicate monitoring nodes is recorded as CH. i-k Where k represents different duplicate monitoring nodes, and CH represents several sets of duplicate counts associated with k duplicate monitoring nodes. i-k Perform summation to confirm the total number of repetitions ZF. i ZB is used. i ÷ZF i =BD i Confirm the processing characteristics (BD) associated with the corresponding processing time period. i ; Different processing characteristics associated with different processing time periods (BD) i In the process, the maximum value is selected, and the processing period associated with the maximum value is recorded as the optimal processing cycle. The determined optimal processing cycle is then transmitted to the processing logic confirmation terminal.

[0010] Preferably, the processing logic confirmation end determines the specific way of determining the sequence of collection nodes as follows: Confirm the processing period associated with the optimal processing period, and then confirm the monitoring nodes that exist in the monitoring process in the processing period according to different monitoring characteristics associated with different monitoring nodes, and mark them as collection nodes. In the specific way of sequentially ordering a plurality of collection nodes according to the processing period from front to back, the sequence of collection nodes is confirmed; Confirm the data processing protocol associated between adjacent collection nodes in the sequence of collection nodes, and identify whether the data processing protocol between the adjacent collection nodes is the same. If it is the same, no further processing is required. If it is not the same, the adjacent collection nodes are marked as processing logic to be confirmed node segments; The to-be-confirmed node segments associated between a plurality of adjacent collection nodes in the sequence of collection nodes are sequentially determined, and the front-end collection node of the to-be-confirmed node segment is marked as a front node, the rear-end collection node is marked as a rear node, the data processing protocol associated with the front node is marked as a front protocol, the data processing protocol associated with the rear node is marked as a rear protocol, the conversion characteristics associated with the front protocol and the rear protocol in the historical process are confirmed, and the conversion characteristics include conversion computing power and conversion rate. The conversion characteristics are confirmed by using: conversion rate ÷ conversion computing power = conversion characteristics. The conversion characteristics associated with the front protocol and the rear protocol in a single historical process are confirmed, and the determined conversion characteristics are processed by averaging to lock the conversion characteristics of the front protocol and the rear protocol. Based on the determined sequence of collection nodes, the interval time T associated between the front protocol and the rear protocol is confirmed, and the required computing power SL between the front protocol and the rear protocol is obtained by using: conversion characteristics × T / 2 = SL. The required computing power SL associated between different to-be-confirmed node segments in the sequence of collection nodes is sequentially confirmed and marked.

[0011] Preferably, the method further comprises: The feature verification processing end confirms the linkage characteristics associated between the monitoring nodes after the monitoring data associated with the corresponding monitoring nodes is processed, and confirms whether the linkage characteristics are consistent from the digital twin model. If they are consistent, no further processing is required. If the linkage characteristics are not consistent, a data transmission abnormal signal is directly generated for display.

[0012] The present application provides a construction progress and equipment cluster collaborative virtual display system based on digital twinning. Compared with the prior art, the following beneficial effects are achieved: The monitoring feature confirmation end determines the collection frequency and time of each monitoring node, ensures the standardization and timeliness of data collection, avoids data source errors caused by ambiguous collection logic, and provides high-quality, traceable raw data support for subsequent processing and display; The processing cycle confirmation end quantifies the optimal processing cycle through the feature proportion and the repetition number, realizes the efficient processing rhythm of "covering all and repeating less", avoids the display lag caused by data accumulation, reduces the resource waste caused by invalid processing, and guarantees the real-time synchronization ability of the digital twin model. The processing logic confirmation end accurately locates the protocol difference node segment, quantifies the conversion features and demand computing power based on the historical data, realizes the dynamic pre-allocation of computing power, eliminates the "waiting" and "overload" problems in protocol conversion, reduces the risk of packet loss and out-of-order, forms a standardized processing flow, and improves the adaptability of the system to dynamic scenarios such as node increase and decrease and protocol update. BRIEF DESCRIPTION OF DRAWINGS

[0013] Figure 1 It is a schematic diagram of the principle framework of the application. DETAILED DESCRIPTION

[0014] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the application.

[0015] First embodiment Please refer to Figure 1 The application provides a construction progress and equipment cluster collaborative virtual display system based on digital twinning, which comprises a monitoring feature confirmation end, a processing cycle confirmation end, a processing logic confirmation end and a feature verification processing end, wherein the monitoring feature confirmation end, the processing cycle confirmation end, the processing logic confirmation end and the feature verification processing end are electrically connected in sequence from the output node to the input node. The monitoring feature confirmation end confirms the monitoring features associated with different monitoring nodes of the equipment cluster, wherein the monitoring features include the monitoring frequency and the associated monitoring time. The monitoring frequency refers to how long the data is collected once, for example, an image collection device collects once an hour. The monitoring time refers to the collection time associated with the monitoring equipment. When the corresponding image collection device collects once at 13:00, the associated monitoring frequency is 1h monitoring once, and the subsequent associated collection time is 14:00, 15:00, 16:00, and so on. The processing cycle confirmation end confirms the monitoring features associated with different monitoring nodes within a specified cycle, identifies a set of processing times from the confirmed monitoring features, records the monitoring nodes included in the processing time, and selects the optimal processing cycle from the different processing features recorded at different processing times. Specifically, the specified cycle is 24 hours, and different processing times are randomly selected within 24 hours, with a processing time ≤ 24 hours. The monitoring features included in the processing time are recorded to confirm the optimal processing cycle, which facilitates the subsequent comprehensive processing of the collected data to ensure that the digital twin model can synchronously display the corresponding collected data and achieve a real-time progress display effect. The specific method for selecting the optimal processing cycle is as follows: Several sets of processing times are generated within a specified period, which is a preset period, generally 24 hours. The current time is taken as the processing time. Based on the generated processing time, the processing time period associated with the corresponding processing time is determined, and the processing time is ∈ the specified period. Based on the different monitoring characteristics associated with different monitoring nodes, the monitoring times associated with the corresponding monitoring nodes are marked within the processing period (based on the monitoring frequency and the actual existing monitoring times, the corresponding monitoring times can be marked within the determined processing period). The processing characteristics associated with the processing period are determined: the total number G of different monitoring nodes monitored within the processing period is recorded. i Where i represents different processing time periods, and the total number H of several monitoring nodes in the device cluster is then confirmed synchronously, using: G i ÷H=ZB i Confirm the proportion of features associated with the corresponding processing time period (ZB) i Then, the duplicate monitoring nodes that appear during the processing period are marked synchronously, and the number of repetitions associated with the duplicate monitoring nodes is recorded as CH. i-k Where k represents different duplicate monitoring nodes, and CH represents several sets of duplicate counts associated with k duplicate monitoring nodes. i-k Perform summation to confirm the total number of repetitions ZF. i ZB is used. i ÷ZF i =BD i Confirm the processing characteristics (BD) associated with the corresponding processing time period. i Specifically, in the corresponding feature confirmation process, the coverage ratio ZB i The larger the value, the fewer the number of repetitions associated with it, and the more associated processing features (BD) are. i The larger the value, the better. When the processing feature associated with the corresponding processing period is at its maximum value among several processing periods, then the corresponding processing period can be directly locked as the determined optimal processing cycle, and the feature it covers is in the optimal state. Different processing features BD associated with different processing periods i In the maximum value is selected, and the processing period associated with the maximum value is recorded as the optimal processing period, and the determined optimal processing period is transmitted to the processing logic confirmation end; Specifically, in the corresponding optimal processing period, the conversion processing logic between different data types can be confirmed according to the corresponding monitoring process, so as to ensure that when the corresponding monitoring data arrives, the fast processing process can be implemented, so that the digital twin model associated with it can quickly adapt to the data collected in the actual scene, maintain the synchronous real-time display effect of the digital twin model, and greatly reduce the associated processing time.

[0016] Among them, the processing logic confirmation end determines the acquisition node sequence associated with the optimal processing period according to the confirmed optimal processing period, and then confirms the conversion process from the acquisition node sequence, and confirms the calibration time associated with each conversion process based on the historical data about the corresponding conversion process in the historical process, and determines the processing logic associated with the acquisition node sequence in combination with the calibration time: Confirm the processing period associated with the optimal processing period, and then confirm the monitoring node that exists in the monitoring process in the processing period according to the different monitoring features associated with the different monitoring nodes, and record it as the acquisition node. According to the specific manner of sequentially ordering the acquisition nodes from front to back in the processing period, the acquisition node sequence is confirmed; Confirm the data processing protocol associated between adjacent acquisition nodes in the acquisition node sequence, identify whether the data processing protocols between the adjacent acquisition nodes are the same, if they are the same, no further processing is needed, if they are not the same, the adjacent acquisition nodes are recorded as processing logic nodes to be confirmed; The acquisition node sequence associated between the adjacent acquisition nodes is determined in sequence, and the front-end acquisition node of the to-be-confirmed node segment is recorded as the front node, and the rear-end acquisition node is recorded as the rear node. The data processing protocol associated with the front node is recorded as the front protocol, and the data processing protocol associated with the rear node is recorded as the rear protocol. The conversion characteristics associated with the front protocol and the rear protocol in the historical process are confirmed, which include conversion computing power and conversion rate. The conversion rate ÷ conversion computing power = conversion characteristic is adopted to confirm the conversion characteristics associated with the front protocol and the rear protocol in a single historical process, and the confirmed several conversion characteristics are processed by averaging to lock the conversion characteristics of the front protocol and the rear protocol after determination. Then, based on the determined acquisition node sequence, the interval time T associated between the front protocol and the rear protocol is confirmed, which is: conversion characteristic × T / 2 = SL, to obtain the required computing power SL associated between the front protocol and the rear protocol; The demand algorithm SL associated with different to-be-confirmed node segments in the collected node sequence is sequentially confirmed and marked, and in the subsequent processing process, the corresponding algorithm is allocated in advance for the conversion processing of the subsequent protocol according to the confirmed demand algorithm SL after the conversion of the previous protocol is completed, so as to ensure that the data associated with the subsequent protocol can be processed in real time, thereby ensuring that the digital twin model and the actual monitored scene are synchronized to display the corresponding scene. Specifically, by identifying the data processing protocol difference between adjacent nodes, the to-be-converted node segment is accurately located, avoiding meaningless repeated processing; based on the historical conversion data, the conversion feature mean value is calculated, and the demand algorithm SL is derived combined with the discontinuous time, so that the algorithm allocation of protocol conversion is more in line with the actual scene, avoiding waste of algorithm and ensuring the stability of the conversion process. Using historical conversion data as a calibration basis, the determination of processing logic is data-supported, facilitating traceability and optimization; at the same time, through the steps of node sequence sorting, protocol difference identification, and algorithm demand marking, a standardized processing flow is formed, which can be quickly adjusted according to dynamic scenes such as the increase or decrease of monitoring nodes and protocol updates, improving the adaptability of the system to complex working conditions. By quantifying the conversion characteristics and demand algorithm, the processing resource demand of different node segments is determined, reducing the "waiting" or "overload" phenomenon in protocol conversion; the ordered connection and accurate algorithm allocation of adjacent nodes can significantly reduce packet loss, out-of-order and other problems in the data transmission and conversion process, improving the reliability of overall data collaboration.

[0017] Second embodiment In the specific implementation process of this embodiment, compared with the above embodiment, this embodiment mainly aims at the correlation verification process of the data monitored by a certain monitoring node, identifies whether the data has errors, and thereby performs comprehensive adjustment and verification to avoid a large difference between the digital twin model and the actual scene. Among them, the feature verification processing end confirms the linkage features associated between the monitoring nodes after the corresponding monitoring data associated with the monitoring nodes is processed, and confirms whether the linkage features are consistent from the digital twin model. If they are consistent, no further processing is needed. If they are not consistent, a data transmission abnormal signal is directly generated for display for external relevant personnel to view. Among them, during the actual simulation process of the digital twin model, corresponding linkage data, that is, corresponding linkage features, will be generated between the linked virtual devices. The linkage features between the corresponding monitoring nodes will also be synchronously collected during the monitoring process. If the collected linkage features are inconsistent, it means that there is a large difference between the virtual scene of the corresponding digital twin model and the actual scene, which means that there is an abnormality in the transmission process of the corresponding data, and the transmission rate needs to be adjusted for anti-interference processing.

[0018] Some data in the above formula are dimensionless for numerical calculation, and the contents not described in detail in the specification are all prior art known by those skilled in the art.

[0019] The above examples are only used to illustrate the technical method of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. A construction progress and equipment cluster collaborative virtual display system based on digital twinning, characterized in that, The method comprises the following steps: monitoring feature confirmation end, confirming the monitoring features associated with different monitoring nodes in the device cluster; processing cycle confirmation end, confirming the monitoring features associated with different monitoring nodes in a specified cycle, confirming a group of processing times from the confirmed monitoring features, recording the monitoring nodes included in the processing times, selecting the best processing cycle from different processing features recorded by different processing times; processing logic confirmation end, determining the sequence of collection nodes associated with the best processing cycle according to the confirmed best processing cycle, confirming the conversion processes from the sequence of collection nodes, confirming the calibration time associated with each conversion process based on the historical data about the corresponding conversion process in the historical process, and determining and outputting the processing logic associated with the sequence of collection nodes in combination with the calibration time.

2. The construction progress and equipment cluster collaborative virtual display system based on digital twinning according to claim 1, characterized in that, The monitoring features include monitoring frequencies and associated monitoring time points.

3. The construction progress and equipment cluster collaborative virtual display system based on digital twinning of claim 1, wherein, The processing cycle confirmation end includes the following steps: generating a plurality of groups of processing times in a specified cycle, the specified cycle being a preset cycle, taking the current time as the processing time, and confirming the processing period associated with the corresponding processing time according to the generated processing times, and the processing time ∈ the specified cycle.

4. The construction progress and equipment cluster collaborative virtual display system based on digital twinning of claim 1, wherein, The processing cycle confirmation end includes the following steps: Based on the different monitoring characteristics associated with different monitoring nodes, the monitoring times associated with the corresponding monitoring nodes are marked within the processing period, and the processing characteristics associated with the processing period are determined: the total number G of different monitoring nodes monitored within the processing period is recorded. i Where i represents different processing time periods, and the total number H of several monitoring nodes in the device cluster is then confirmed synchronously, using: G i ÷H=ZB i Confirm the proportion of features associated with the corresponding processing time period (ZB) i Then, the duplicate monitoring nodes that appear during the processing period are marked synchronously, and the number of repetitions associated with the duplicate monitoring nodes is recorded as CH. i-k Where k represents different duplicate monitoring nodes, and CH represents several sets of duplicate counts associated with k duplicate monitoring nodes. i-k Perform summation to confirm the total number of repetitions ZF. i ZB is used. i ÷ZF i =BD i Confirm the processing characteristics (BD) associated with the corresponding processing time period. i ; different processing characteristics BD associated with different processing periods i The maximum value is selected, and the processing period associated with the maximum value is recorded as the optimal processing period. The determined optimal processing period is transmitted to the processing logic confirmation end.

5. The construction progress and equipment cluster collaborative virtual display system based on digital twinning according to claim 1, characterized in that, The processing logic confirmation end includes the following steps: confirming the processing period associated with the best processing cycle, confirming the monitoring nodes with monitoring processes in the processing period according to different monitoring features associated with different monitoring nodes, and recording them as collection nodes, and sorting a plurality of collection nodes in the order of the processing period from front to back to confirm the sequence of collection nodes; confirming the data processing protocols associated between adjacent collection nodes in the sequence of collection nodes, identifying whether the data processing protocols between the adjacent collection nodes are the same, if they are the same, no further processing is needed, if they are not the same, the adjacent collection nodes are recorded as processing logic nodes to be confirmed.

6. The construction progress and equipment cluster coordination virtual display system based on digital twinning according to claim 5, characterized in that, The processing logic confirmation end includes the following steps: confirming the data processing protocols associated between adjacent collection nodes in the sequence of collection nodes, identifying whether the data processing protocols between the adjacent collection nodes are the same, if they are the same, no further processing is needed, if they are not the same, the adjacent collection nodes are recorded as processing logic nodes to be confirmed. confirming the conversion features associated with the front protocol and the rear protocol in the historical process, the conversion features including conversion computing power and conversion rate, using: conversion rate ÷ conversion computing power = conversion feature, confirming the conversion features associated with the front protocol and the rear protocol in a single historical process, and performing mean processing on the confirmed conversion features to lock the conversion features of the front protocol and the rear protocol after determination; confirming the interval time T associated between the front protocol and the rear protocol based on the determined sequence of collection nodes, using: conversion feature × T / 2 = SL, obtaining the required computing power SL associated between the front protocol and the rear protocol; The demand computing power SL associated with different to-be-confirmed node segments in the collection node sequence is sequentially confirmed and marked.

7. The construction progress and equipment cluster coordination virtual display system based on digital twinning according to claim 1, characterized in that, Also includes: The feature verification processing end confirms the linkage features associated between the monitoring nodes after the monitoring data associated with the corresponding monitoring nodes are processed, and confirms whether the linkage features are consistent in the digital twin model. If consistent, no further processing is required.

8. The construction progress and equipment cluster coordination virtual display system based on digital twinning according to claim 7, characterized in that, If the linkage features are not consistent, a data transmission abnormal signal is directly generated for display.

Images