CN-121998434-A - Project risk management and control workbench integrating AI and method

CN121998434ACN 121998434 ACN121998434 ACN 121998434ACN-121998434-A

Abstract

The invention provides an AI-integrated project risk management and control workbench and a method, which belong to the technical field of risk management and control, and specifically comprise the steps of determining identification management and control points in collaborative inspection risk points based on monitoring devices in the collaborative inspection risk points and combining the association situations of the monitoring devices with other monitoring devices of the collaborative inspection risk points, determining the inspection management and control scheme of the collaborative inspection risk points according to the association situations of the monitoring devices of the identification management and control points, carrying out the identification processing of the construction quality risk of the collaborative inspection risk points by using the inspection management and control scheme, and determining the risk management and control method of the collaborative inspection risk points according to the identification processing results of the construction quality risk of the collaborative inspection risk points and the identification processing results of the identification management and control points associated with the monitoring devices, so that the reliability of the management and control processing of the quality risk of construction projects is improved.

Inventors

LI MINGMING
FENG CHUNSHENG
FU HUANGLI
Chi Qiuping
MA JINTAO
WANG LIJUN
Meng Zhentao
LU YAO
Zhong Moyan
Fu Ruoyun
CHEN NAN

Assignees

浙江建投数字技术有限公司

Dates

Publication Date: 20260508
Application Date: 20260408

Claims (10)

1. The project risk management and control method of the integrated AI is characterized by comprising the following steps: Determining historical recognition results of construction quality risk points in different monitoring devices by detection data of the construction quality risk points in construction projects of monitoring devices based on an integrated AI model, and determining cooperative inspection risk points in the construction treatment risk points based on the recognition data of the different monitoring devices in a risk event; based on the monitoring devices in the collaborative inspection risk points, and combining the association situations of the monitoring devices and other monitoring devices of the collaborative inspection risk points, determining the identification management and control points in the collaborative inspection risk points, and determining the inspection management and control scheme of the collaborative inspection risk points according to the association situations of the monitoring devices with the identification management and control points; And carrying out identification processing of construction quality risks of the collaborative inspection risk points by using the inspection management and control scheme, and determining a risk management and control method of the collaborative inspection risk points according to the identification processing result of the construction quality risks of the collaborative inspection risk points and the identification processing result of the associated identification management and control points of the monitoring device.
2. The AI-integrated project risk management method of claim 1, wherein the construction quality risk point is determined from a construction site in the construction project where a construction quality risk exists.
3. The AI-integrated project risk management method of claim 1, wherein the detection data of the construction quality risk point is determined according to a detection result of a construction quality problem of the construction treatment risk point.
4. The AI-integrated project risk management method of claim 1, wherein the risk event is an event that any one of the monitoring devices recognizes that a construction quality problem is obtained.
5. The AI-integrated project risk management method of claim 1, wherein the method of determining a collaborative inspection risk point among the construction governance risk points is: Determining the monitoring device for identifying the construction quality problem in the risk event according to the identification data of different monitoring devices in the risk event, and taking the monitoring device as a matched monitoring device; Determining the number of the matched monitoring devices in the risk event according to the matched monitoring device data in the risk event; And determining whether the construction quality risk point belongs to a collaborative inspection risk point or not based on the number of the matched monitoring devices in the risk event and the risk event data of the different monitoring devices belonging to the matched monitoring devices.
6. The AI-integrated project risk management method of claim 5, wherein if the number of risk events for the construction quality risk point is less than a preset risk event number threshold, then determining that the construction quality risk point does not belong to a collaborative inspection risk point.
7. The AI-integrated project risk management method of claim 1, wherein the method of determining the identified management point of the collaborative patrol risk points is: determining a matched monitoring device of the collaborative inspection risk point according to the monitoring device data in the collaborative inspection risk point; According to the association condition of the matching monitoring device and the matching monitoring devices of other collaborative inspection risk points, determining the collaborative inspection risk points of the matching monitoring device belonging to the matching monitoring device, and taking the collaborative inspection risk points as the association inspection risk points; And determining whether the collaborative inspection risk point is an identification management and control point or not based on the matching monitoring device of the collaborative inspection risk point and the associated inspection risk points of different matching monitoring devices.
8. The AI-integrated project risk management and control method of claim 7, wherein if the collaborative inspection risk points belong to an identified management and control point, the matching monitoring devices of the collaborative inspection risk points are all set at an angle at which the number of construction quality risk points of the collaborative inspection risk points is the greatest.
9. The AI-integrated project risk management method of claim 1, wherein the method for determining the risk management method of the collaborative patrol risk point is: determining a risk event monitored by the collaborative inspection risk point after the collaborative inspection according to the identification processing result of the construction quality risk of the collaborative inspection risk point, and taking the risk event as a monitored risk event; Based on the monitoring risk events, determining monitoring devices capable of monitoring and obtaining construction quality problems in different monitoring risk events, and taking the monitoring devices capable of monitoring and obtaining the construction quality problems in the monitoring risk events as reliable monitoring devices; and determining a risk management and control method of the collaborative inspection risk point by utilizing the monitoring risk event and reliable monitoring devices in different monitoring risk events and combining the monitoring risk event with the associated identification management and control point of the monitoring device influenced by the collaborative inspection risk point.
10. An AI-integrated project risk management workbench, employing an AI-integrated project risk management method as set forth in any one of claims 1-9, comprising: the cooperative identification module, the inspection management and control module and the risk management and control module; the cooperative identification module is responsible for determining cooperative inspection risk points in the construction treatment risk points; the inspection management and control module is responsible for determining an inspection management and control scheme of the collaborative inspection risk point; the risk management and control module is responsible for determining a risk management and control method of the collaborative inspection risk point.

Description

Project risk management and control workbench integrating AI and method Technical Field The invention belongs to the technical field of risk management and control, and particularly relates to an AI-integrated project risk management and control workbench and method. Background The existing safety risk management and control of the construction project generally adopts a mode of manual inspection and data report, so that project managers are difficult to effectively and truly manage project states, and further safety accidents of the construction project occur. In order to solve the technical problems, in the prior art, through real-time monitoring and risk assessment in the invention patent application CN202411781075.8, intelligent chemical engineering land construction safety and quality detection method based on big data, an intelligent chemical engineering land system can improve the safety management level of a construction site, reduce the occurrence of accidents, utilize predictive maintenance and accident prevention technology, the system can predict potential safety risks and take measures to avoid, utilize big data and intelligent optimization algorithm, optimize resource allocation and construction flow, and improve the construction efficiency, but the technical scheme has the following technical problems: When the monitoring analysis of the construction quality risk is carried out, the monitoring analysis of the construction quality risk cannot be effectively realized by adopting a single monitoring device, so that the determination of the cooperative monitoring method of the monitoring device is carried out on the basis of the construction quality risk points, the joint monitoring scheduling treatment of the monitoring device at a plurality of construction quality risk points is realized, and the monitoring reliability of the construction quality risk is improved, so that the technical problem to be solved is urgent. Therefore, there is a need for an AI-integrated project risk management workbench and method. Disclosure of Invention In order to achieve the purpose of the invention, the invention adopts the following technical scheme: Specifically, the application provides an AI-integrated project risk management and control method, which specifically comprises the following steps: S1, determining historical recognition results of construction quality risk points in different monitoring devices by detection data of the construction quality risk points in construction projects based on monitoring devices integrated with an AI model, and determining cooperative inspection risk points in the construction treatment risk points based on the recognition data of the different monitoring devices in a risk event; S2, based on the monitoring device in the collaborative inspection risk points, combining the association situation of the monitoring device and other monitoring devices of the collaborative inspection risk points, determining the identification control points in the collaborative inspection risk points, and determining the inspection control scheme of the collaborative inspection risk points according to the association situation of the monitoring device with the identification control points; S3, carrying out identification processing of construction quality risks of the collaborative inspection risk points by using the inspection management and control scheme, and determining a risk management and control method of the collaborative inspection risk points according to the identification processing result of the construction quality risks of the collaborative inspection risk points and the identification processing result of the associated identification management and control points of the monitoring device. The application has the beneficial effects that: Based on the identification data of different monitoring devices in the risk event, the cooperative inspection risk points in the construction treatment risk points are determined, and the risk points which cannot be reliably monitored by a single camera due to complex monitoring conditions and can be effectively controlled by the cooperative operation of a plurality of cameras are identified, namely the cooperative inspection risk points, so that the reliability of the monitoring treatment of the construction quality is ensured. Based on the monitoring devices in the collaborative inspection risk points and the association situations of the monitoring devices and other monitoring devices of the collaborative inspection risk points, identification management control points in the collaborative inspection risk points are determined, specific risk points with the smallest influence on other risk points in the whole monitoring network are screened out when monitoring resources (such as camera angles) are pertinently adjusted, the specific risk points are defined as the identification management control points, potential associated influence ge