CN-121982838-A - Special operation whole-flow dynamic risk classification early warning method, system and device

CN121982838ACN 121982838 ACN121982838 ACN 121982838ACN-121982838-A

Abstract

The invention relates to a special operation whole flow dynamic risk grading early warning method, a system and a device, wherein the method comprises the steps of dividing the whole process of a single special operation into a plurality of continuous operation stages and identifying the operation stage where the current operation task is located; the method comprises the steps of acquiring and quantifying a multi-dimensional risk index in real time aiming at a current operation task to form a multi-dimensional risk index value set, calling a corresponding weight set from a preset weight configuration library according to an operation stage of the current operation task to calculate a dynamic risk index to obtain the dynamic risk index, and carrying out grading early warning and strategy matching on the current operation task according to the dynamic risk index. According to the invention, the operation life cycle is taken as a time sequence main shaft, the dynamic risk index is output through stage self-adaptive weighting and fusion calculation, and the risk management and control of the hierarchical intervention strategy are triggered accordingly, so that the fundamental transition of the risk management from static state, single state to dynamic state and comprehensive state is realized, and further the stage accurate early warning is realized.

Inventors

SONG CHENXU
LIU MIN
SHEN WEI

Assignees

浙江航天恒嘉数据科技有限公司

Dates

Publication Date: 20260505
Application Date: 20251202

Claims (10)

1. The full-flow dynamic risk grading early warning method for special operation is characterized by comprising the following steps of: s1, dividing the whole process of a single special operation into a plurality of continuous operation stages, and identifying the operation stage where the current operation task is located; S2, aiming at the current operation task, acquiring and quantifying a multi-dimensional risk index in real time to form a multi-dimensional risk index value set; s3, calling a corresponding weight set from a preset weight configuration library according to the operation stage of the current operation task, and performing dynamic risk index calculation on a multi-dimensional risk index value set of the current operation task to obtain a dynamic risk index; and S4, based on an early warning threshold, carrying out hierarchical early warning and strategy matching on the current operation task according to the dynamic risk index.
2. The method of claim 1, wherein in S1, the plurality of continuous job phases at least includes an application phase, an approval phase, a job preparation phase, a job execution phase, and a job end phase.
3. The special operation full-flow dynamic risk classification early warning method according to claim 1, wherein in the step S2, the multidimensional risk index at least includes a personnel behavior dimension index, an environment state dimension index and a management compliance dimension index.
4. The special operation whole flow dynamic risk classification early warning method according to claim 1, wherein in the step S3, weights corresponding to each dimension risk index of different operation tasks in different operation stages are stored in the weight configuration library.
5. The special operation whole flow dynamic risk classification early warning method according to claim 1, wherein in the step S3, a formula for calculating a dynamic risk index is: DRI = W1*R1 + W2*R2 + ... + Wn*Rn; Wherein DRI represents the dynamic risk index, R1, R2, and Rn represent each of the dimension risk index values in the multi-dimension risk index value set, and W1, W2, and Wn represent weights in the weight set corresponding to R1, R2, and Rn, respectively.
6. The special operation whole-flow dynamic risk classification early warning method according to claim 1, wherein the step S4 is specifically: comparing the dynamic risk index with an early warning threshold interval formed by a plurality of early warning thresholds to judge the early warning grade of the current operation task; and matching and triggering corresponding hierarchical intervention strategies from a predefined intervention strategy matrix according to the operation stage of the current operation task and the associated early warning grade.
7. The special operation whole-flow dynamic risk classification early warning method according to claim 1, further comprising: and S5, after the hierarchical early warning and strategy matching are completed, recording the generation, pushing, treatment and result feedback information of each early warning so as to realize management closed loop.
8. The special operation whole-flow dynamic risk classification early warning method according to claim 1, wherein the step S5 further comprises: And based on historical data accumulated in the dynamic risk classification early warning process, periodically or trigging optimization is carried out on the weight configuration library and/or the early warning threshold value by adopting a machine learning algorithm.
9. The special-job full-flow dynamic risk classification early warning system is characterized by being applied to the special-job full-flow dynamic risk classification early warning method as claimed in any one of claims 1 to 8, and comprising the following steps: The operation phase dividing and identifying module is used for dividing the whole process of a single special operation into a plurality of continuous operation phases and identifying the operation phase where the current operation task is located; The multi-dimensional risk index quantification module is used for acquiring and quantifying multi-dimensional risk indexes in real time aiming at the current operation task to form a multi-dimensional risk index value set; The dynamic risk index calculation module is used for calling a corresponding weight set from a preset weight configuration library according to the operation stage of the current operation task, and carrying out dynamic risk index calculation on the multidimensional risk index value set of the current operation task to obtain a dynamic risk index; And the grading early warning and strategy matching module is used for carrying out grading early warning and strategy matching on the current operation task according to the dynamic risk index based on an early warning threshold value.
10. The special-job full-flow dynamic risk classification early warning device is characterized by comprising a processor, a memory and a computer program stored in the memory, wherein the computer program realizes the special-job full-flow dynamic risk classification early warning method according to any one of claims 1 to 8 when being executed by the processor.

Description

Special operation whole-flow dynamic risk classification early warning method, system and device Technical Field The invention relates to the technical field of intelligent management of safety production of hazardous chemicals enterprises, in particular to a special operation full-flow dynamic risk classification early warning method, a system and a device. Background In the prior art, special operation safety management of dangerous chemical enterprises depends on manual inspection and static rule judgment, risk judgment depends on experience, quantitative basis is lacked, early warning response is delayed, early warning cannot be realized in advance, fusion analysis of multi-dimensional data of people, machines, rings and pipes is lacked, and dynamic evaluation cannot be carried out by combining real-time monitoring data and historical behavior data. Disclosure of Invention The invention provides a special operation whole-flow dynamic risk classification early warning method, a special operation whole-flow dynamic risk classification early warning system and a special operation whole-flow dynamic risk classification early warning device, which aim to solve at least one technical problem. The technical scheme for solving the technical problems is as follows, the full-flow dynamic risk grading early warning method for special operation comprises the following steps: s1, dividing the whole process of a single special operation into a plurality of continuous operation stages, and identifying the operation stage where the current operation task is located; S2, aiming at the current operation task, acquiring and quantifying a multi-dimensional risk index in real time to form a multi-dimensional risk index value set; s3, calling a corresponding weight set from a preset weight configuration library according to the operation stage of the current operation task, and performing dynamic risk index calculation on a multi-dimensional risk index value set of the current operation task to obtain a dynamic risk index; and S4, based on an early warning threshold, carrying out hierarchical early warning and strategy matching on the current operation task according to the dynamic risk index. On the basis of the technical scheme, the invention can be improved as follows. Further, in the step S1, the plurality of continuous job phases at least includes an application phase, an approval phase, a job preparation phase, a job execution phase, and a job end phase. Further, in the S2, the multidimensional risk index includes at least a personnel behavior dimension index, an environmental status dimension index, and a management compliance dimension index. Further, in the step S3, weights corresponding to the risk indexes of each dimension of the different job tasks in different job phases are stored in the weight configuration library. Further, in the step S3, the formula of the dynamic risk index calculation is: DRI = W1*R1 + W2*R2 + ... + Wn*Rn; Wherein DRI represents the dynamic risk index, R1, R2, and Rn represent each of the dimension risk index values in the multi-dimension risk index value set, and W1, W2, and Wn represent weights in the weight set corresponding to R1, R2, and Rn, respectively. Further, the S4 specifically is: comparing the dynamic risk index with an early warning threshold interval formed by a plurality of early warning thresholds to judge the early warning grade of the current operation task; and matching and triggering corresponding hierarchical intervention strategies from a predefined intervention strategy matrix according to the operation stage of the current operation task and the associated early warning grade. Further, the method further comprises the following steps: and S5, after the hierarchical early warning and strategy matching are completed, recording the generation, pushing, treatment and result feedback information of each early warning so as to realize management closed loop. Further, the step S5 further includes: And based on historical data accumulated in the dynamic risk classification early warning process, periodically or trigging optimization is carried out on the weight configuration library and/or the early warning threshold value by adopting a machine learning algorithm. Based on the special operation whole-flow dynamic risk classification early warning method, the invention also provides a special operation whole-flow dynamic risk classification early warning system. The utility model provides a special operation full-flow dynamic risk classification early warning system, is applied to a special operation full-flow dynamic risk classification early warning method as described above, includes: The operation phase dividing and identifying module is used for dividing the whole process of a single special operation into a plurality of continuous operation phases and identifying the operation phase where the current operation task is located; The multi-dimensional risk index quantif