CN-122022461-A - Finite space dynamic risk assessment early warning system based on multisource data fusion

CN122022461ACN 122022461 ACN122022461 ACN 122022461ACN-122022461-A

Abstract

The invention relates to a finite space dynamic risk assessment early warning system based on multi-source data fusion, and belongs to the technical field of finite space environment monitoring. The system comprises a data acquisition layer, a data processing layer and a data application layer. The system comprises a data acquisition layer, a data processing layer, a dynamic weight adjustment and risk assessment module, a comprehensive risk index calculation and risk trend prediction module, a system triggering hierarchical multi-mode alarm and emergency communication when the risk exceeds the limit, an environment restoration monitoring module, a safety closed loop monitoring module and a safety closed loop monitoring module.

Inventors

JIA CHANGMING
Yang Sanpeng
ZHANG HONGZHI
Tang Naifeng
FAN CHENGLONG
CHEN XIANGYAN
LIU LIFENG

Assignees

华能(福建)能源开发有限公司福州分公司

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (10)

1. The utility model provides a finite space dynamic risk assessment early warning system based on multisource data fusion which characterized in that includes data acquisition layer, data processing layer and data application layer, wherein: The data acquisition layer is used for acquiring multi-source heterogeneous data streams in a limited space and sending the multi-source heterogeneous data streams to the data processing layer; The data processing layer is used for preprocessing the multi-source heterogeneous data stream and extracting an environment characteristic value; The data application layer is used for carrying out dynamic risk assessment based on the environment characteristic values and realizing early warning, environment recovery monitoring, visual display and emergency communication according to the assessment results; Wherein, the The data acquisition layer comprises a data acquisition module; the data processing layer comprises a data processing module and a feature extraction module; the data application layer comprises a dynamic weight adjustment module, a risk assessment module, an early warning and environment recovery monitoring module, a visual display module and an emergency communication module.
2. The finite space dynamic risk assessment early warning system based on multi-source data fusion according to claim 1, wherein the data acquisition module comprises a sensor interface unit and a data caching unit, wherein: The sensor comprises at least a gas concentration sensor, a temperature and humidity sensor for monitoring the ambient temperature and the relative humidity, a pressure sensor for monitoring the atmospheric pressure change in the space, a personnel positioning sensor for acquiring personnel position data by using UWB or Bluetooth beacon technology, and a camera for capturing images; And the data caching unit is used for temporarily storing the received multi-source heterogeneous data stream, and the temporary storage adopts a circular queue structure so as to ensure that the data is not lost and the time sequence is kept.
3. The finite space dynamic risk assessment early warning system based on multi-source data fusion according to claim 1, wherein the data processing module comprises a timestamp correction unit, an outlier detection unit, an image preprocessing unit and a positioning data filtering unit, wherein: the time stamp correction unit is used for performing time alignment on the multi-source heterogeneous data streams of each sensor based on a system master clock signal and giving a uniform time stamp; The abnormal value detection unit is used for identifying and eliminating abnormal values of the gas concentration, the temperature and the humidity and the pressure data by adopting a criterion; the image preprocessing unit is used for denoising, enhancing and formatting the face and the tool image; And the positioning data filtering unit is used for filtering and converting coordinates of the personnel position data.
4. The finite space dynamic risk assessment early warning system based on multi-source data fusion according to claim 3, wherein the feature extraction unit is configured to extract an environmental feature value from the preprocessed data, specifically: Carrying out sectional treatment on the preprocessed gas concentration data acquired by the gas concentration sensor, wherein the sectional treatment is completed based on a concentration change gradient, and obtaining a gas concentration threshold deviation; carrying out differential operation on the preprocessed temperature and humidity data acquired by the temperature and humidity sensor, wherein the differential operation is used for acquiring the temperature and humidity change rate; carrying out moving average filtering on the preprocessed pressure data acquired by the pressure sensor, and calculating the deviation between the current value and the mean value to obtain a pressure fluctuation amplitude, wherein the pressure fluctuation amplitude is used for judging conditions of abnormal ventilation, explosion shock waves and the like, which cause abrupt change of atmospheric pressure in a space; The method comprises the steps of carrying out face and tool recognition on a preprocessing image acquired by a camera, extracting personnel identity and tool information, and obtaining a face recognition result, wherein the face recognition result is used for the access record of personnel in a limited space; And carrying out area judgment on the preprocessed positioning data acquired by the personnel positioning sensor to obtain personnel position information, wherein the personnel position information is used for judging whether personnel are in a safety area or not.
5. The finite space dynamic risk assessment early warning system based on multi-source data fusion according to claim 1, wherein the dynamic weight adjustment module comprises a weight calculation unit and a weight update unit, wherein: The weight calculation unit is used for calculating a dynamic weight value according to the change trend of the historical data and the current environment characteristic value, and calculating a comprehensive risk index according to the dynamic weight value; and the weight updating unit is used for writing the adjusted weight parameters and the comprehensive risk indexes into a configuration file of the risk assessment module, wherein the configuration file supports online updating.
6. The finite space dynamic risk assessment early warning system based on multi-source data fusion according to claim 5, wherein the dynamic weight value is calculated according to the change trend of the historical data and the current environmental characteristic value, and expressed as the following formula: ; In the formula, Represent the first Dynamic weight values for the individual environmental characteristic values, Represent the first The initial weight of the individual indicators is set, Represent the first The trend of the variation of the individual environmental characteristic values, Representing a preset adjustment coefficient; Based on the dynamic weight value, calculating the time Is used for the comprehensive risk index of (a), expressed as: ; In the formula, Indicating time of day Is used for the comprehensive risk index of (a), Indicating time of day First, the Dynamic weight values for the individual environmental characteristic values, Indicating time of day Is the first of (2) The value of the characteristic of the individual environment, Representing a preset risk coupling coefficient for personnel, Representing a preset personnel risk factor.
7. The finite space dynamic risk assessment early warning system based on multi-source data fusion according to claim 1, wherein the risk assessment module comprises a risk index mapping unit, a risk trend prediction unit and a personnel risk assessment unit, wherein: The risk index mapping unit is used for mapping the comprehensive risk index into a predefined risk level table, wherein the risk level table is divided into three levels of low risk, medium risk and high risk; the risk trend prediction unit is used for predicting the risk change trend in a future period of time based on the current comprehensive risk index and the historical data; And the personnel risk assessment unit is used for assessing personnel related risk according to the personnel position and the access record.
8. The limited space dynamic risk assessment early warning system based on multi-source data fusion according to claim 1, wherein the early warning and environmental recovery monitoring module comprises a multi-mode warning unit and an environmental recovery monitoring unit, wherein: The multi-mode alarm module is used for triggering an alarm in an audible and visual alarm, short message reminding, mobile phone APP notification and intercom alarm mode; The environment restoration monitoring unit further comprises a restoration time estimation subunit and a restoration suggestion generation subunit, wherein: a recovery time estimation subunit for estimating the time required for complete recovery of the environment based on the rate of change of the current environmental characteristic value; and the recovery proposal generating subunit generates environment recovery proposal information including ventilation time and personnel entering conditions according to the estimated recovery time and the current environment characteristic value.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the system of any one of claims 1 to 8 when the program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, which program, when being executed by a processor, implements the system according to any one of claims 1 to 8.

Description

Finite space dynamic risk assessment early warning system based on multisource data fusion Technical Field The invention relates to a finite space dynamic risk assessment early warning system based on multi-source data fusion, and belongs to the technical field of finite space environment monitoring. Background With the rapid development of industrial production and urban construction, the safety problem of limited space operation is increasingly attracting attention. The limited space has the characteristics of complex environment, poor ventilation, multiple potential dangerous factors and the like, and is easy to cause safety accidents such as poisoning, choking, explosion and the like. The existing monitoring means rely on a single sensor to detect specific parameters, and the existing monitoring means can reflect environmental conditions to a certain extent, but lack comprehensive analysis capability on multi-source data. In addition, the prior art often ignores important aspects such as personnel access management, real-time positioning, visual display, emergency communication and the like, so that rapid response and rescue cannot be performed when danger occurs. This single data source approach may result in inadequate risk assessment and difficulty in timely discovering potential safety hazards. Therefore, the multi-source sensing data fusion is realized in a limited space to dynamically evaluate risks and provide early warning, and the functions of personnel monitoring, visual display and emergency communication are integrated, so that the method and the device become the technical problems to be solved. The existing monitoring means rely on a single sensor to detect specific parameters, and the existing monitoring means can reflect environmental conditions to a certain extent, but lack comprehensive analysis capability on multi-source data. In addition, the prior art often ignores important aspects such as personnel access management, real-time positioning, visual display, emergency communication and the like, so that rapid response and rescue cannot be performed when danger occurs. This single data source approach may result in inadequate risk assessment and difficulty in timely discovering potential safety hazards. Therefore, there is a need for a limited space dynamic risk assessment and early warning system based on multi-source data fusion. Disclosure of Invention In order to solve the problems in the prior art, the invention provides a finite space dynamic risk assessment early warning system based on multi-source data fusion. The technical scheme of the invention is as follows: In one aspect, the invention provides a finite space dynamic risk assessment early warning system based on multi-source data fusion, which comprises a data acquisition layer, a data processing layer and a data application layer, wherein: The data acquisition layer is used for acquiring multi-source heterogeneous data streams in a limited space and sending the multi-source heterogeneous data streams to the data processing layer; The data processing layer is used for preprocessing the multi-source heterogeneous data stream and extracting an environment characteristic value; The data application layer is used for carrying out dynamic risk assessment based on the environment characteristic values and realizing early warning, environment recovery monitoring, visual display and emergency communication according to the assessment results; Wherein, the The data acquisition layer comprises a data acquisition module; the data processing layer comprises a data processing module and a feature extraction module; the data application layer comprises a dynamic weight adjustment module, a risk assessment module, an early warning and environment recovery monitoring module, a visual display module and an emergency communication module. Preferably, the data acquisition module comprises a sensor interface unit, a data caching unit and a positioning acquisition unit, wherein: the sensor interface unit is used for connecting a plurality of types of sensors, and the sensors are connected with the system through a low-power-consumption wide area network supporting multi-node concurrent transmission, and at least comprise a gas concentration sensor, a temperature and humidity sensor for monitoring the ambient temperature and the relative humidity, a pressure sensor for monitoring the atmospheric pressure change in a space and a camera for capturing images; the positioning acquisition unit is used for acquiring personnel position data by using a UWB or Bluetooth beacon technology through a personnel positioning sensor; And the data caching unit is used for temporarily storing the received multi-source heterogeneous data stream, and the temporary storage adopts a circular queue structure so as to ensure that the data is not lost and the time sequence is kept. Preferably, the data processing module includes a timestamp correction unit, an outlie