CN-122015945-A - System and method for intelligently monitoring pollution sources of bulk cargo wharf based on meteorological sensing

CN122015945ACN 122015945 ACN122015945 ACN 122015945ACN-122015945-A

Abstract

A system and a method for intelligently monitoring pollution sources of a bulk cargo wharf based on meteorological sensing comprise the following steps: the sensor monitors the network; a data acquisition module; a data fusion evaluation module; the early warning and visualization module organically combines meteorological sensing data with the multi-source pollution indexes to construct a total evaluation index system covering dust emission, noise, air pollution and water resource utilization efficiency, can rapidly locate the space position of a pollution source and quantify emission intensity, and provides data support for subsequent prevention and treatment measures.

Inventors

WANG YUMING
Jian Jialin
WANG LIYAN
Liao Nanke
WANG KANGNING
QI WEIMING

Assignees

中交机电工程局有限公司

Dates

Publication Date: 20260512
Application Date: 20251230

Claims (10)

1. A bulk cargo wharf pollution source intelligent monitoring system based on meteorological sensing is characterized by comprising: The sensor monitoring network comprises a meteorological sensor, a particulate matter sensor, a noise sensor, an air quality sensor and a water quantity sensor, and is used for collecting environmental data of the bulk cargo wharf in real time; the data acquisition module is used for summarizing the environmental data acquired by the sensor monitoring network and formatting and checking the environmental data; The pollution source identification module is used for identifying the type, the position and the emission intensity of the pollution source based on the environmental data; The data fusion evaluation module is used for calculating a dust pollution index, a noise pollution index, an air pollution comprehensive index and a water resource utilization efficiency index according to the environmental data and pollution source information, and calculating after fusion to obtain a comprehensive monitoring index; And the early warning and visualization module is used for comparing the comprehensive monitoring index with a preset threshold value, determining the environment monitoring abnormal condition according to the comparison result, sending out early warning when the comprehensive monitoring index exceeds the preset threshold value, and displaying pollution distribution, tracing result and early warning information in a map interface of the visualization terminal.
2. The intelligent monitoring system for the pollution source of the bulk cargo wharf based on the meteorological sensing is characterized in that the pollution source identification module comprises a transmission diffusion analysis unit, a chemical reaction analysis unit and a source analysis unit, wherein the transmission diffusion analysis unit is used for simulating a diffusion path and concentration distribution of pollutants in a wharf area based on environmental data and pollution source parameters, the chemical reaction analysis unit is used for simulating a chemical reaction process of the pollutants in the atmosphere according to the types of the pollutants and the meteorological data, and the source analysis unit is used for analyzing contribution values and component spectrums of the pollution sources based on a pollutant concentration matrix and a source configuration matrix.
3. The intelligent monitoring system for the pollution source of the bulk cargo wharf based on meteorological sensing according to claim 2, wherein the calculation formula of the comprehensive monitoring index in the data fusion evaluation module is as follows: Wherein EMCI is a comprehensive monitoring index, DPI is a dust pollution index, NPI is a noise pollution index, AQCI is an air pollution comprehensive index, and WUEI is a water resource utilization efficiency index.
4. The intelligent monitoring system for the pollution source of the bulk cargo wharf based on the meteorological sensing is characterized in that the early warning and visualization module comprises a pollution concentration spatial distribution display interface, a pollution space-time evolution analysis interface, a pollution tracing analysis interface, an early warning and alarming interface and an air quality prediction and research and judgment interface.
5. The intelligent monitoring system for pollution sources of a bulk cargo wharf based on meteorological sensing according to claim 3, wherein the calculation formula of the dust pollution index DPI is as follows: , wherein, Is the surface area of the storage yard; Is the average wind speed; , surface humidity and internal humidity respectively; Is PM10 concentration; Is the maximum humidity of the air.
6. The intelligent monitoring system for pollution sources of bulk cargo wharf based on meteorological sensing according to claim 3, wherein the calculation formula of the noise pollution index NPI is as follows: Wherein: The noise is the wharf operation noise; average traffic noise for wharf; average background noise for wharf; a noise maximum specified for a bulk terminal; wherein, the wharf operation noise Wherein m is the number of quay working machines; the operation time length of the ith machine in the monitoring period is set; Defining an average noise level within the work area for the ith machine; average working duration of all working machines; Average noise level for all work machines; Average traffic noise at wharf Wherein k1 is the number of noise sampling points in the dock traffic area; the sum of the noise levels of all k1 noise sampling points in the wharf traffic area; Average dock background noise Wherein k2 is the number of noise sampling points in a non-traffic area of the dock non-operation area; the sum of the noise levels for all k2 noise samples for that region.
7. The intelligent monitoring system for pollution sources of bulk cargo wharf based on meteorological sensing according to claim 3, wherein the calculation formula of the air pollution comprehensive index AQCI is as follows: wherein AQCI is the air pollution comprehensive index, N is the kind number of the air pollutants in the target bulk cargo wharf area; Is the weight coefficient of the ith air pollutant, meets the following conditions ; An air pollution index for the i-th pollutant; is the measured concentration value of the ith contaminant; Wherein the air pollution index of each pollutant The calculation formula of (2) is as follows: wherein A lower limit value of the ith pollutant concentration limit value interval; an upper limit value of the i-th pollutant concentration limit value interval; To correspond to Lower limit of air pollution index of (2); To correspond to An air pollution index upper limit of (2).
8. The intelligent monitoring system for pollution sources of a bulk cargo wharf based on meteorological sensing according to claim 3, wherein the calculation formula of the water resource utilization efficiency index WUEI is as follows: , wherein, Monitoring the water consumption in the period for the wharf; for dock cargo throughput; the rainwater collection and utilization rate of the wharf is improved; the recycling rate of wastewater treatment for wharf is provided; , The rainwater collection amount is collected by a wharf rainwater collection system sensor; The total rainfall in the monitoring period is obtained according to meteorological data; , the wastewater treatment recycling amount is the wastewater treatment recycling amount collected by a wharf wastewater treatment system sensor; The total wastewater volume during the monitoring period obtained is recorded by the wharf wastewater discharge.
9. The application method of the intelligent monitoring system for the pollution source of the bulk cargo wharf based on meteorological sensing as claimed in claim 4 is characterized by comprising the following steps: S1, acquiring environmental data of a bulk cargo terminal in real time through a sensor monitoring network, acquiring wind speed, humidity and precipitation data through a preset meteorological sensor, acquiring surface area data of a bulk cargo terminal yard through an unmanned aerial vehicle, and acquiring concentration data of one or more pollutants in PM10 and SO 2 、NO 2 、CO、O 3 through an air quality sensor; s2, formatting and checking the environment data, and storing the environment data into a database; s3, identifying the type, the position and the emission intensity of the pollution source based on the environmental data; S4, calculating a dust pollution index, a noise pollution index, an air pollution comprehensive index and a water resource utilization efficiency index for the acquired wind speed, humidity, precipitation, storage yard surface area and pollutant concentration data, and calculating a comprehensive monitoring index after fusion; and S5, triggering early warning and visualizing a map interface to display pollution information when the comprehensive monitoring index exceeds a preset threshold value.
10. The intelligent monitoring method of pollution sources of bulk cargo wharf based on meteorological sensing according to claim 9, wherein the early warning judgment condition in the step S5 is that , wherein, And if EPC is less than 1, determining that the environment monitoring is abnormal.

Description

System and method for intelligently monitoring pollution sources of bulk cargo wharf based on meteorological sensing Technical Field The invention relates to the technical field of pollution source monitoring, in particular to an intelligent monitoring system and method for a bulk cargo wharf pollution source based on meteorological sensing. Background Bulk cargo wharf bears the tasks of loading, unloading, piling and running of a large amount of bulk cargos such as coal, ore and grain, however, the operation activities of bulk cargo wharf often accompany serious environmental pollution problems, serious influence on the surrounding ecological environment and human health, the traditional bulk cargo wharf has single monitoring dimension, the overall environmental condition of wharf area cannot be comprehensively and comprehensively evaluated, for example, patent application CN117092300A obtains data through a laser scanning radar and an air detector to evaluate air quality, the monitoring elements are single, synchronous monitoring on multiple elements such as dust emission, noise, air pollutants, water resource utilization and the like is lacked, the traceability is weak, and a plurality of monitoring systems stop the display and alarm of the monitoring data, cannot effectively trace the pollution sources, and cannot effectively guide the dust suppression, noise reduction and water circulation management work. Disclosure of Invention The invention aims to solve the defects of the prior art and provides an intelligent monitoring system and method for a pollution source of a bulk cargo wharf based on meteorological sensing. The invention adopts the following technical scheme to realize the aim: A bulk cargo wharf pollution source intelligent monitoring system based on meteorological sensing comprises: The sensor monitoring network comprises a meteorological sensor, a particulate matter sensor, a noise sensor, an air quality sensor and a water quantity sensor, and is used for collecting environmental data of the bulk cargo wharf in real time; the data acquisition module is used for summarizing the environmental data acquired by the sensor monitoring network and formatting and checking the environmental data; The pollution source identification module is used for identifying the type, the position and the emission intensity of the pollution source based on the environmental data; The data fusion evaluation module is used for calculating a dust pollution index, a noise pollution index, an air pollution comprehensive index and a water resource utilization efficiency index according to the environmental data and pollution source information, and calculating after fusion to obtain a comprehensive monitoring index; And the early warning and visualization module is used for comparing the comprehensive monitoring index with a preset threshold value, determining the environment monitoring abnormal condition according to the comparison result, sending out early warning when the comprehensive monitoring index exceeds the preset threshold value, and displaying pollution distribution, tracing result and early warning information in a map interface of the visualization terminal. The pollution source identification module comprises a transmission diffusion analysis unit, a chemical reaction analysis unit and a source analysis unit, wherein the transmission diffusion analysis unit is used for simulating the diffusion path and concentration distribution of pollutants in a wharf area based on environmental data and pollution source parameters, the chemical reaction analysis unit is used for simulating the chemical reaction process of the pollutants in the atmosphere according to the types and meteorological data of the pollutants, and the source analysis unit is used for analyzing the contribution value and the component spectrum of the pollution source based on a pollutant concentration matrix and a source configuration matrix. The calculation formula of the comprehensive monitoring index in the data fusion evaluation module is as follows: Wherein EMCI is a comprehensive monitoring index, DPI is a dust pollution index, NPI is a noise pollution index, AQCI is an air pollution comprehensive index, and WUEI is a water resource utilization efficiency index. The early warning and visualization module comprises a pollution concentration spatial distribution display interface, a pollution space-time evolution analysis interface, a pollution tracing analysis interface, an early warning and alarming interface and an air quality prediction and research and judgment interface. The calculation formula of the dust pollution index DPI is as follows: , wherein, Is the surface area of the storage yard; Is the average wind speed; , surface humidity and internal humidity respectively; Is PM10 concentration; Is the maximum humidity of the air. The calculation formula of the noise pollution index NPI is as follows: Wherein: The noise is the w