Unified modeling and fusion platform and method based on multi-source heterogeneous engineering data

Abstract

The invention relates to the technical field of engineering supervision, in particular to a unified modeling and fusion platform and method based on multi-source heterogeneous engineering data, and solves the problems that in the existing engineering construction process, data concentration cannot be fully carried out on various parameters of engineering, and the construction efficiency is high. The system comprises a data sensing module, a data operation module, a model service module and a model application module, wherein the data sensing module is used for acquiring multi-source heterogeneous engineering data in real time through Internet of Things equipment; the data operation module is used for accessing the acquired multi-source heterogeneous engineering data and uniformly preprocessing the data; and the model service module is used for performing grading processing on the received multi-source heterogeneous engineering data through a data fusion model to obtain multi-stage engineering data. By adopting the layered architecture design, data acquisition, engineering supervision and risk elimination are realized, and the engineering construction effect and safety are improved.

Description

Technical Field

[0001] This invention relates to the field of engineering supervision technology, specifically to a unified modeling and fusion platform and method based on multi-source heterogeneous engineering data. Background Technology

[0002] Engineering data supervision is the process of systematically managing, supervising, and controlling all types of data generated throughout the entire lifecycle of an engineering project, aiming to ensure project progress, quality, safety, and compliance. Its core functions include real-time monitoring, risk warning, resource optimization, and protection of the interests of all parties, promptly identifying and correcting unsafe behaviors, and reducing the incidence of construction accidents.

[0003] Existing methods for engineering construction cannot adequately centralize various engineering parameters and facilitate the fusion and unified scheduling of collected data based on models; therefore, they do not meet current needs. To address this, we propose a unified modeling and fusion platform and method based on multi-source heterogeneous engineering data. Summary of the Invention

[0004] The purpose of this invention is to provide a unified modeling and fusion platform and method based on multi-source heterogeneous engineering data, in order to solve the problems mentioned in the background art, such as the inability to fully centralize the various parameters of the project during the construction process, and the inconvenience of fusing and uniformly scheduling the collected data based on the model.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a unified modeling and fusion platform based on multi-source heterogeneous engineering data, comprising a data perception module, a data operation module, a model service module, and a model application module:

[0006] The data sensing module is used to collect multi-source heterogeneous engineering data in real time through IoT devices;

[0007] The data processing module is used to access and uniformly preprocess the collected multi-source heterogeneous engineering data.

[0008] The model service module is used to perform hierarchical processing on the received multi-source heterogeneous engineering data through the data fusion model to obtain multi-level engineering data, and to perform corresponding backup and encryption of the multi-level engineering data.

[0009] The model application module is used to display and alert on multi-level engineering data in a hierarchical manner, and to use the data fusion model to simulate the construction process and perform risk analysis.

[0010] Preferably, the multi-source heterogeneous engineering data includes, but is not limited to, equipment status, environmental parameters, and production processes, wherein the environmental parameters consist of ecological environment parameters, construction environment parameters, and personnel status parameters.

[0011] Preferably, the data processing module consists of multiple preprocessing units, which are distributed in a distributed manner. Each preprocessing unit consists of an edge computing gateway and a primary processor.

[0012] Preferably, the types of IoT devices include, but are not limited to, sensors, RFID, and video surveillance probes. Multiple IoT devices and preprocessing units are configured in a one-to-one correspondence. The IoT devices and preprocessing units are connected and transmitted electrical signals via Bluetooth modules and transmission cables.

[0013] Preferably, the data operation module consists of a data fusion model, a cloud database, and a local server. The data fusion model has a built-in data engine and a BIM model. The data engine extracts pre-processed multi-source heterogeneous engineering data and injects it into the BIM model.

[0014] Preferably, the multi-source heterogeneous engineering data is separated into multi-level engineering data through a BIM model. The multi-level engineering data is synchronously backed up through a cloud database and a local server. Both the cloud database and the local server have built-in firewalls. Both the cloud database and the local server use firewalls to detect abnormal data and clear faulty data.

[0015] A unified modeling and fusion method based on multi-source heterogeneous engineering data includes the following steps:

[0016] S1: Distributed data acquisition, which uses IoT devices to monitor engineering data in real time, realizes multi-source heterogeneous acquisition of engineering data, and transmits engineering data such as equipment status, environmental parameters and production process at the engineering site.

[0017] S2: Local data preprocessing. Multiple preprocessing units perform real-time preprocessing of the multi-source heterogeneous engineering data obtained from monitoring through edge computing gateways and primary processors, and use Bluetooth modules and transmission cables for wireless and wired synchronous transmission.

[0018] S3: Engineering data classification, which separates the pre-processed multi-source heterogeneous engineering data into multi-level engineering data through the BIM model, and uses cloud database and local server to synchronously back up the multi-level engineering data;

[0019] S4: Data detection and cleanup. Through the cloud database and the firewall built into the local server, abnormal data detection and fault data cleanup are performed on the graded and backed-up engineering data, while retaining engineering data that conforms to the data fusion model.

[0020] S5: Visualization service, which uses a data fusion model to display and alert on engineering data in a hierarchical manner, and performs construction process simulation and risk analysis to improve the accuracy of engineering supervision and reduce construction risks.

[0021] Preferably, the display and alarm of the engineering data are implemented through a display and an alarm device, respectively.

[0022] Compared with the prior art, the beneficial effects of the present invention are:

[0023] 1. This invention uses IoT devices to perform distributed monitoring of engineering data in real time, realizes multi-source heterogeneous data acquisition, and transmits engineering data on equipment status, environmental parameters, and production processes at the engineering site. Multiple preprocessing units perform real-time preprocessing of the monitored multi-source heterogeneous engineering data through edge computing gateways and primary processors, and use Bluetooth modules and transmission cables for wireless and wired synchronous transmission. The preprocessed multi-source heterogeneous engineering data is separated and formed into multi-level engineering data through a BIM model.

[0024] 2. This invention utilizes a cloud database and a local server to synchronously back up multi-level engineering data. The built-in firewalls of the cloud database and the local server perform abnormal data detection and fault data removal on the graded and backed-up engineering data, retaining engineering data that conforms to the data fusion model. Through the data fusion model, the engineering data is displayed and alerted in a graded manner, and construction process simulation and risk analysis are performed to improve the accuracy of engineering supervision and reduce construction risks. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the overall structure of the present invention;

[0026] Figure 2 This is a flowchart illustrating the unified modeling and fusion of engineering data in this invention. Detailed Implementation

[0027] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0028] Please see Figure 1This invention provides an embodiment of a unified modeling and fusion platform based on multi-source heterogeneous engineering data, comprising a data sensing module, a data operation module, a model service module, and a model application module. The data sensing module is used to collect multi-source heterogeneous engineering data in real time through IoT devices. The multi-source heterogeneous engineering data includes, but is not limited to, equipment status, environmental parameters, and production processes. The environmental parameters consist of ecological environment parameters, construction environment parameters, and personnel status parameters. The types of IoT devices include, but are not limited to, sensors, RFID, and video surveillance probes. Through various types of IoT devices, distributed monitoring of engineering data can be achieved.

[0029] The data processing module is used to access and uniformly preprocess the collected multi-source heterogeneous engineering data. The data processing module consists of multiple preprocessing units, which are distributed in a distributed manner. Each preprocessing unit consists of an edge computing gateway and a first-level processor. Multiple IoT devices are set up one-to-one with the preprocessing units. The IoT devices and the preprocessing units are connected via Bluetooth modules and transmission cables for electrical signal transmission and electrical connection, which enables localized real-time preprocessing of multi-source heterogeneous engineering data.

[0030] The data operation module consists of a data fusion model, a cloud database, and a local server. The data fusion model has a built-in data engine and a BIM model. The data engine extracts pre-processed multi-source heterogeneous engineering data and injects it into the BIM model.

[0031] The model service module is used to process the received multi-source heterogeneous engineering data into multi-level engineering data through the data fusion model, and to back up and encrypt the multi-level engineering data accordingly. The multi-source heterogeneous engineering data is separated into multi-level engineering data through the BIM model. The multi-level engineering data is backed up synchronously through the cloud database and the local server. Both the cloud database and the local server have built-in firewalls. Both the cloud database and the local server use the firewalls to detect abnormal data and clear faulty data.

[0032] Furthermore, the model application module is used to display and alert on multi-level engineering data in a hierarchical manner, and to use the data fusion model to simulate the construction process and conduct risk analysis. The display and alert on the engineering data are implemented through the monitor and alarm device, respectively.

[0033] Please see Figure 2 A unified modeling and fusion method based on multi-source heterogeneous engineering data includes the following steps:

[0034] S1: Distributed data acquisition, which uses IoT devices to monitor engineering data in real time, realizes multi-source heterogeneous acquisition of engineering data, and transmits engineering data such as equipment status, environmental parameters and production process at the engineering site.

[0035] S2: Local data preprocessing. Multiple preprocessing units perform real-time preprocessing of the multi-source heterogeneous engineering data obtained from monitoring through edge computing gateways and primary processors, and use Bluetooth modules and transmission cables for wireless and wired synchronous transmission.

[0036] S3: Engineering data classification, which separates the pre-processed multi-source heterogeneous engineering data into multi-level engineering data through the BIM model, and uses cloud database and local server to synchronously back up the multi-level engineering data;

[0037] S4: Data detection and cleanup. Through the cloud database and the firewall built into the local server, abnormal data detection and fault data cleanup are performed on the graded and backed-up engineering data, while retaining engineering data that conforms to the data fusion model.

[0038] S5: Visualization service, which uses a data fusion model to display and alert on engineering data in a hierarchical manner, and performs construction process simulation and risk analysis to improve the accuracy of engineering supervision and reduce construction risks.

[0039] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A unified modeling and fusion platform based on multi-source heterogeneous engineering data, characterized in that, It includes a data perception module, a data execution module, a model service module, and a model application module: The data sensing module is used to collect multi-source heterogeneous engineering data in real time through IoT devices; The data processing module is used to access and uniformly preprocess the collected multi-source heterogeneous engineering data. The model service module is used to perform hierarchical processing on the received multi-source heterogeneous engineering data through the data fusion model to obtain multi-level engineering data, and to perform corresponding backup and encryption of the multi-level engineering data. The model application module is used to display and alert on multi-level engineering data in a hierarchical manner, and to use the data fusion model to simulate the construction process and perform risk analysis.

2. The unified modeling and fusion platform based on multi-source heterogeneous engineering data according to claim 1, characterized in that: The multi-source heterogeneous engineering data includes, but is not limited to, equipment status, environmental parameters, and production processes. The environmental parameters consist of ecological environment parameters, construction environment parameters, and personnel status parameters.

3. The unified modeling and fusion platform based on multi-source heterogeneous engineering data according to claim 2, characterized in that: The data processing module consists of multiple preprocessing units, which are distributed in a distributed manner. Each preprocessing unit consists of an edge computing gateway and a primary processor.

4. The unified modeling and fusion platform based on multi-source heterogeneous engineering data according to claim 3, characterized in that: The types of IoT devices include, but are not limited to, sensors, RFID, and video surveillance probes. Multiple IoT devices and preprocessing units are configured in a one-to-one correspondence. The IoT devices and preprocessing units are connected and transmit electrical signals via Bluetooth modules and transmission cables.

5. The unified modeling and fusion platform based on multi-source heterogeneous engineering data according to claim 4, characterized in that: The data operation module consists of a data fusion model, a cloud database, and a local server. The data fusion model has a built-in data engine and a BIM model. The data engine extracts pre-processed multi-source heterogeneous engineering data and injects it into the BIM model.

6. The unified modeling and fusion platform based on multi-source heterogeneous engineering data according to claim 5, characterized in that: The multi-source heterogeneous engineering data is separated into multi-level engineering data through the BIM model. The multi-level engineering data is backed up synchronously through a cloud database and a local server. Both the cloud database and the local server have built-in firewalls. Both the cloud database and the local server use the firewalls to detect abnormal data and clear faulty data.

7. A unified modeling and fusion method based on multi-source heterogeneous engineering data, and a unified modeling and fusion platform based on multi-source heterogeneous engineering data according to any one of claims 1-6, characterized in that, Includes the following steps: S1: Distributed data acquisition, which uses IoT devices to monitor engineering data in real time, realizes multi-source heterogeneous acquisition of engineering data, and transmits engineering data such as equipment status, environmental parameters and production process at the engineering site. S2: Local data preprocessing. Multiple preprocessing units perform real-time preprocessing of the multi-source heterogeneous engineering data obtained from monitoring through edge computing gateways and primary processors, and use Bluetooth modules and transmission cables for wireless and wired synchronous transmission. S3: Engineering data classification, which separates the pre-processed multi-source heterogeneous engineering data into multi-level engineering data through the BIM model, and uses cloud database and local server to synchronously back up the multi-level engineering data; S4: Data detection and cleanup. Through the cloud database and the firewall built into the local server, abnormal data detection and fault data cleanup are performed on the graded and backed-up engineering data, while retaining engineering data that conforms to the data fusion model. S5: Visualization service, which uses a data fusion model to display and alert on engineering data in a hierarchical manner, and performs construction process simulation and risk analysis to improve the accuracy of engineering supervision and reduce construction risks.

8. The method for unified modeling and fusion of multi-source heterogeneous engineering data according to claim 7, characterized in that: The display and alarm of the engineering data are achieved through a monitor and an alarm device, respectively.

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