CN110533885B - Urban waterlogging monitoring and early warning system and method - Google Patents
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Abstract
The invention relates to a city waterlogging monitoring and early warning system and an early warning method, wherein the city waterlogging monitoring and early warning system comprises: the system comprises a processing unit, a surface runoff ponding depth monitoring unit, an underground drainage pipe network monitoring unit, a weather information monitoring unit, a rainfall monitoring unit, a communication unit and a drainage unit, wherein the surface runoff ponding depth monitoring unit, the underground drainage pipe network monitoring unit, the weather information monitoring unit, the rainfall monitoring unit, the communication unit and the drainage unit are electrically connected with the processing unit; the processing unit is suitable for judging urban waterlogging conditions according to the actual surface runoff flow of each monitoring point, the depth of the surface water accumulation, the drainage state of the underground drainage pipe network, weather information and precipitation, and uploading the urban waterlogging conditions to the server in real time through the communication unit; when the processing unit judges that waterlogging occurs in the city, the water draining unit is controlled to drain water; according to the invention, through comprehensive transmission processing of monitoring data, analysis and statistics are carried out by combining big data and deep learning artificial intelligence, early warning information is issued, processing planning measures are generated in advance, and intelligent control is carried out on electric equipment of each site.
Description
Technical Field
The invention relates to the field of urban water conservancy monitoring, in particular to an urban waterlogging monitoring and early warning system and an early warning method.
Background
With the acceleration of urban process in China, urban drainage facilities are continuously built and developed, the monitoring means of the urban drainage facilities are continuously perfected by technological progress, various monitoring information also realizes long-term data accumulation, and the data can not be recorded and stored only, so that a comprehensive system integrating monitoring, acquisition, transmission, statistics, analysis, early warning and control is urgently needed. In order to more accurately master the condition of the existing drainage facilities in the urban central urban area, change the traditional information data management mode, realize the digitization of monitoring information, improve the running and management efficiency of municipal facility systems, assist decision and dispatch, realize the functions of water and rain condition monitoring, drainage facility inquiry, wireless data transmission, data intelligent statistical analysis, drainage equipment control monitoring and management and the like by installing an urban waterlogging monitoring and early warning control system, realize the scientific and efficient management of the municipal drainage facility systems better, comprehensively master the water accumulation and drainage conditions of urban roads in low-lying areas, real-time rainfall information, the running condition of a drainage pipe network and video monitoring of key water accumulation areas, realize comprehensive transmission processing of the monitoring data, further analyze and count by combining a big data and deep learning artificial intelligent system, release early warning information, generate processing planning measures in advance, implement intelligent control on electric equipment at each site, promote the digitizing and intelligent process of urban management, and lay a good foundation for realizing intelligent city.
In order to realize the whole process supervision of urban accumulated water drainage, intelligent monitoring of drainage facilities, information recording analysis, business collaborative management, emergency rapid command, scientific decision-making, public service integrated specialized, intelligent, multidimensional and graphic-text integrated informatization systems by utilizing advanced Internet of things technology, AI deep learning technology, cloud computing technology, GIS technology, internet technology, automatic control technology, wireless communication technology, database technology, system integration and other technologies, the municipal facility supervision visualization, business management integration, drainage decision-making scientificalization are realized, the municipal facility operation and management efficiency is improved, and the digital construction, online monitoring, early scheduling and early decision-making of municipal facilities are effectively implemented.
Therefore, there is a need to develop a new urban waterlogging monitoring and early warning system and method to solve the above problems.
Disclosure of Invention
The invention aims to provide an urban waterlogging monitoring and early warning system and an urban waterlogging monitoring and early warning method.
In order to solve the technical problems, the invention provides an urban waterlogging monitoring and early warning system, which comprises: the system comprises a processing unit, a surface runoff ponding depth monitoring unit, an underground drainage pipe network monitoring unit, a weather information monitoring unit, a rainfall monitoring unit, a communication unit and a drainage unit, wherein the surface runoff ponding depth monitoring unit, the underground drainage pipe network monitoring unit, the weather information monitoring unit, the rainfall monitoring unit, the communication unit and the drainage unit are electrically connected with the processing unit; the processing unit is suitable for collecting the actual surface runoff flow and the surface water accumulation depth of each monitoring point through the surface runoff water accumulation depth monitoring unit; the processing unit is suitable for collecting the drainage state of the underground drainage pipe network of each monitoring point through the underground drainage pipe network monitoring unit; the processing unit is suitable for collecting weather information of each monitoring point through the weather information monitoring unit; the processing unit is suitable for collecting precipitation of each monitoring point through the rainfall monitoring unit; the processing unit is suitable for judging urban waterlogging conditions according to the actual surface runoff flow of each monitoring point, the depth of the surface water accumulation, the drainage state of the underground drainage pipe network, weather information and precipitation, and uploading the urban waterlogging conditions to the server in real time through the communication unit; and when the processing unit judges that waterlogging occurs in the city, controlling the drainage unit to drain water.
Further, the surface runoff ponding depth monitoring unit includes: a plurality of flowmeters respectively arranged at each monitoring point and a plurality of embedded water level meters respectively arranged at each monitoring point; the processing unit is suitable for collecting the actual surface runoff flow through the flowmeter; the processing unit is suitable for collecting the depth of the ground water by the embedded water level gauge.
Further, the underground drainage pipe network monitoring unit includes: a plurality of cameras respectively arranged at each monitoring point and a plurality of input type water level meters respectively arranged at each monitoring point; the processing unit is suitable for monitoring the drainage state of the underground drainage pipe network through the camera and the input type water level gauge.
Further, the weather information monitoring unit includes: the weather monitoring devices are respectively arranged at each monitoring point; the processing unit is adapted to collect weather information via the weather monitoring device.
Further, the rainfall monitoring unit includes: a plurality of rainfall sensors respectively arranged at each monitoring point; the processing unit is adapted to collect precipitation via a rainfall sensor.
Further, the processing unit is suitable for classifying and storing the actual surface runoff flow of each monitoring point, the ground water accumulation depth, the drainage state of the underground drainage pipe network, the meteorological information and the precipitation, establishing a table, counting, drawing a histogram and a time history curve, and counting the increase of the same-ratio ring ratio; the processing unit acquires historical meteorological hydrologic information from the server through the communication unit, comprehensively analyzes and draws a comparison curve by combining the actual surface runoff flow, the surface water accumulation depth, the drainage state of the underground drainage pipe network, the meteorological information, the precipitation and the historical meteorological hydrologic information of each monitoring point through the deep artificial intelligence, and automatically retests and compensates the abnormal measurement parameters, namely the processing unit judges urban waterlogging conditions.
Further, when the processing unit judges that waterlogging occurs in the city, the processing unit is suitable for sending depth early warning information, traffic forbidden alarm information, heavy rain information, a ponding road section, ponding depth and drainage conditions to the server through the communication module so as to prompt safe traffic of pedestrians and customize a safe trip route plan.
On the other hand, the invention provides a city waterlogging monitoring and early warning method, which comprises the following steps: collecting the actual surface runoff flow, the ground ponding depth, the drainage state of the underground drainage pipe network, weather information and precipitation of each monitoring point; judging urban waterlogging conditions according to the actual surface runoff flow of each monitoring point, the ground ponding depth, the drainage state of the underground drainage pipe network, weather information and precipitation, and uploading the urban waterlogging conditions to a server in real time; and when the urban waterlogging is judged, controlling the drainage unit to drain water.
Further, the surface runoff actual flow, the surface water accumulation depth, the drainage state of the underground drainage pipe network, the meteorological information and the precipitation of each monitoring point are classified and stored, a table is built, statistics is carried out, a histogram is drawn, a time history curve is drawn, and the same-ratio loop ratio increase statistics is carried out; the method comprises the steps of acquiring historical meteorological hydrologic information from a server, comprehensively analyzing and drawing a comparison curve by combining the actual surface runoff flow, the ground ponding depth and the drainage state of an underground drainage pipe network of each monitoring point through deep artificial intelligence, and automatically retesting and compensating data of abnormal measurement parameters, namely judging urban waterlogging conditions.
Further, when the urban waterlogging is judged, depth early warning information, traffic forbidden warning information, heavy rain information, a ponding road section, ponding depth and drainage conditions are sent to a server so as to prompt safe traffic of pedestrians and vehicles and customize a safe trip route plan.
The intelligent control system has the beneficial effects that through comprehensively mastering the water accumulation and drainage conditions of low-lying areas of urban roads, real-time rainfall information, the running condition of a drainage pipe network and video monitoring of key water accumulation areas, comprehensive transmission processing of the monitoring data is realized, further analysis and statistics are carried out by combining big data and a deep learning AI system, early warning information is issued, processing planning measures are generated in advance, intelligent control is implemented on electric equipment of each site, the digital and intelligent processes of urban management are promoted, the supervision visualization of municipal facilities, the integration of service management and the scientificalization of drainage decisions are realized, the running and management efficiency of the municipal facilities is improved, and the digital construction, the on-line monitoring, the early scheduling and the early decision of the municipal facilities are effectively implemented.
Drawings
The invention will be further described with reference to the drawings and examples.
FIG. 1 is a schematic block diagram of the urban waterlogging monitoring and early warning system of the present invention;
FIG. 2 is a block diagram of the urban waterlogging monitoring and early warning system of the present invention;
fig. 3 is a flowchart of the urban waterlogging monitoring and early warning method of the invention.
Detailed Description
The invention will now be described in further detail with reference to the accompanying drawings. The drawings are simplified schematic representations which merely illustrate the basic structure of the invention and therefore show only the structures which are relevant to the invention.
Example 1
Fig. 1 is a schematic block diagram of the urban waterlogging monitoring and early warning system of the present invention.
In this embodiment, as shown in fig. 1, the present invention provides an urban waterlogging monitoring and early warning system, which includes: the system comprises a processing unit, a surface runoff ponding depth monitoring unit, an underground drainage pipe network monitoring unit, a weather information monitoring unit, a rainfall monitoring unit, a communication unit and a drainage unit, wherein the surface runoff ponding depth monitoring unit, the underground drainage pipe network monitoring unit, the weather information monitoring unit, the rainfall monitoring unit, the communication unit and the drainage unit are electrically connected with the processing unit; the processing unit is suitable for collecting the actual surface runoff flow and the surface water accumulation depth of each monitoring point through the surface runoff water accumulation depth monitoring unit; the processing unit is suitable for collecting the drainage state of the underground drainage pipe network of each monitoring point through the underground drainage pipe network monitoring unit; the processing unit is suitable for collecting weather information of each monitoring point through the weather information monitoring unit; the processing unit is suitable for collecting precipitation of each monitoring point through the rainfall monitoring unit; the processing unit is suitable for judging urban waterlogging conditions according to the actual surface runoff flow of each monitoring point, the depth of the surface water accumulation, the drainage state of the underground drainage pipe network, weather information and precipitation, and uploading the urban waterlogging conditions to the server in real time through the communication unit; and when the processing unit judges that waterlogging occurs in the city, controlling the drainage unit to drain water.
Fig. 2 is a block diagram of the urban waterlogging monitoring and early warning system of the present invention.
In this embodiment, as shown in fig. 2, the processing unit includes: the system comprises a host computer and slave computers arranged at all monitoring points; the master computer and each slave computer carry out data transmission through a communication module; the communication unit includes: a wireless communication module and a wired digital communication module.
Referring to fig. 2, in the present embodiment, the structural connection between a master and any one of the slaves is shown in fig. 2.
In the embodiment, the processing unit monitors, intelligently controls and pre-warns faults of the drainage unit through the multi-channel I/O input/output module; the drainage unit may be an in-city drainage facility.
In the embodiment, through comprehensively mastering the water accumulation and drainage conditions of urban roads in low-lying areas, real-time rainfall information, the running condition of a drainage pipe network and video monitoring of key water accumulation areas, comprehensive transmission processing of the monitoring data is realized, further analysis and statistics are carried out by combining big data with a deep learning AI system, early warning information is issued, processing planning measures are generated in advance, intelligent control is carried out on electric equipment of each site, the digital and intelligent processes of urban management are promoted, municipal facility supervision visualization, service management integration and drainage decision scientization are realized, municipal facility running and management efficiency is improved, and digital construction, online monitoring, early scheduling and early decision making of municipal facilities are effectively implemented.
In order to gather the surface runoff actual flow and the surface water depth of each monitoring point, the surface runoff water depth monitoring unit includes: a plurality of flowmeters respectively arranged at each monitoring point and a plurality of embedded water level meters respectively arranged at each monitoring point; the processing unit is suitable for collecting the actual surface runoff flow through the flowmeter; the processing unit is suitable for collecting the depth of the ground water by the embedded water level gauge.
In order to gather the drainage state of the underground drainage pipe network of each monitoring point, underground drainage pipe network monitoring unit includes: a plurality of cameras respectively arranged at each monitoring point and a plurality of input type water level meters respectively arranged at each monitoring point; the processing unit is suitable for monitoring the drainage state of the underground drainage pipe network through the camera and the input type water level gauge.
In this embodiment, the key ponding place is monitored in real time through the camera.
In order to gather weather information of each monitoring point, the weather information monitoring unit includes: the weather monitoring devices are respectively arranged at each monitoring point; the processing unit is adapted to collect weather information via the weather monitoring device.
In order to gather the precipitation of each monitoring point, the rainfall monitoring unit includes: a plurality of rainfall sensors respectively arranged at each monitoring point; the processing unit is adapted to collect precipitation via a rainfall sensor.
In order to be capable of analyzing by combining historical meteorological hydrologic information and collected data, the processing unit is suitable for classifying and storing the actual surface runoff flow of each monitoring point, the ground ponding depth, the drainage state of the underground drainage pipe network, meteorological information and precipitation, establishing a table, counting, drawing a histogram, drawing a time history curve and carrying out the same-ratio annular-ratio increase counting; the processing unit acquires historical meteorological hydrologic information from the server through the communication unit, comprehensively analyzes and draws a comparison curve by combining the actual surface runoff flow, the surface water accumulation depth, the drainage state of the underground drainage pipe network, the meteorological information, the precipitation and the historical meteorological hydrologic information of each monitoring point through the deep artificial intelligence, and automatically retests and compensates the abnormal measurement parameters, namely the processing unit judges urban waterlogging conditions.
In this embodiment, the processing unit automatically analyzes and extracts various effective data in the database in the server through deep artificial intelligence, including various data information such as characters, images, sounds, videos and the like, intelligently analyzes the effectiveness and the practicability of the data, comprehensively compares the current measured data with the historical meteorological hydrologic information, analyzes, supplements and perfects the collected data, analyzes the future ponding drainage trend, integrates the expected data, and enables the expected data to be infinitely close to the actual ponding and drainage conditions, so that a processing plan, early defense arrangement in key areas, early positioning of personnel arrangement, early warning of early ponding road sections and early elimination of partial drainage facility hidden danger can be planned in advance, and the processing unit can be further used as important reference materials for urban drainage facility planning.
In order to reasonably plan urban drainage work, when the processing unit judges that urban waterlogging occurs, the processing unit is suitable for sending depth early warning information, forbidden traffic warning information, heavy rain information, ponding road sections, ponding depth and drainage conditions to the server through the communication module so as to prompt safe traffic of pedestrians and vehicles and customize a safe trip route plan.
In this embodiment, the urban waterlogging monitoring and early warning system includes: a plurality of LED display screens electrically connected with the processing unit; the LED display screen is used for displaying data information, depth early warning information, traffic forbidden alarm information, heavy rain information, accumulated water road sections, accumulated water depth and drainage conditions collected by all monitoring points so as to prompt safe traffic of pedestrians and vehicles and customize a safe trip route plan.
In this embodiment, the urban waterlogging monitoring and early warning system further includes: the alarm unit is electrically connected with the processing unit; the processing unit is suitable for controlling the alarm unit to carry out waterlogging alarm.
Example 2
Fig. 3 is a flowchart of the urban waterlogging monitoring and early warning method of the invention.
On the basis of embodiment 1, in this embodiment, as shown in fig. 3, this embodiment provides a city waterlogging monitoring and early warning method, which includes: collecting the actual surface runoff flow, the ground ponding depth, the drainage state of the underground drainage pipe network, weather information and precipitation of each monitoring point; judging urban waterlogging conditions according to the actual surface runoff flow of each monitoring point, the ground ponding depth, the drainage state of the underground drainage pipe network, weather information and precipitation, and uploading the urban waterlogging conditions to a server in real time; and when the urban waterlogging is judged, controlling the drainage unit to drain water.
Specifically, the actual surface runoff flow, the surface water accumulation depth, the drainage state of the underground drainage pipe network, the meteorological information and the precipitation of each monitoring point are classified and stored, a table is built, statistics is carried out, a histogram is drawn, a time history curve is drawn, and the same-ratio loop ratio increase statistics is carried out; the method comprises the steps of acquiring historical meteorological hydrologic information from a server, comprehensively analyzing and drawing a comparison curve by combining the actual surface runoff flow, the ground ponding depth and the drainage state of an underground drainage pipe network of each monitoring point through deep artificial intelligence, and automatically retesting and compensating data of abnormal measurement parameters, namely judging urban waterlogging conditions.
Specifically, when determining that waterlogging occurs in a city, depth early warning information, traffic prohibition alarm information, heavy rain information, a water accumulation road section, water accumulation depth and drainage conditions are sent to a server to prompt safe traffic of pedestrians and enable pedestrians and vehicles to make a safe trip route plan.
In summary, the comprehensive transmission processing of the monitoring data is realized by comprehensively mastering the water accumulation and drainage conditions of low-lying areas of urban roads, real-time rainfall information, the running condition of a drainage pipe network and video monitoring of key water accumulation areas, further analysis and statistics are carried out by combining big data and a deep learning AI system, early warning information is issued, processing planning measures are generated in advance, intelligent control is carried out on electric equipment of each station, the digital and intelligent processes of urban management are promoted, municipal facility supervision visualization, service management integration and drainage decision scientization are realized, the running and management efficiency of municipal facilities is improved, and digital construction, online monitoring, early scheduling and early decision making of municipal facilities are effectively implemented.
With the above-described preferred embodiments according to the present invention as an illustration, the above-described descriptions can be used by persons skilled in the relevant art to make various changes and modifications without departing from the scope of the technical idea of the present invention. The technical scope of the present invention is not limited to the description, but must be determined according to the scope of claims.
Claims (5)
1. A city waterlogging monitoring and early warning system is characterized by comprising:
The system comprises a processing unit, a surface runoff ponding depth monitoring unit, an underground drainage pipe network monitoring unit, a weather information monitoring unit, a rainfall monitoring unit, a communication unit and a drainage unit, wherein the surface runoff ponding depth monitoring unit, the underground drainage pipe network monitoring unit, the weather information monitoring unit, the rainfall monitoring unit, the communication unit and the drainage unit are electrically connected with the processing unit; wherein the method comprises the steps of
The processing unit is suitable for collecting the actual surface runoff flow and the surface water accumulation depth of each monitoring point through the surface runoff water accumulation depth monitoring unit;
the processing unit is suitable for collecting the drainage state of the underground drainage pipe network of each monitoring point through the underground drainage pipe network monitoring unit;
the processing unit is suitable for collecting weather information of each monitoring point through the weather information monitoring unit;
The processing unit is suitable for collecting precipitation of each monitoring point through the rainfall monitoring unit;
The processing unit is suitable for judging urban waterlogging conditions according to the actual surface runoff flow of each monitoring point, the depth of the surface water accumulation, the drainage state of the underground drainage pipe network, weather information and precipitation, and uploading the urban waterlogging conditions to the server in real time through the communication unit; and
When the processing unit judges that waterlogging occurs in the city, the drainage unit is controlled to drain water;
The processing unit is suitable for classifying and storing the actual surface runoff flow of each monitoring point, the surface water accumulation depth, the drainage state of the underground drainage pipe network, the meteorological information and the precipitation, establishing a table, counting, drawing a histogram and a time history curve, and counting the increase of the same-ratio loop ratio;
The processing unit acquires historical meteorological hydrologic information from the server through the communication unit, comprehensively analyzes and draws a comparison curve by combining the actual surface runoff flow, the surface water accumulation depth, the drainage state of the underground drainage pipe network, the meteorological information, the precipitation and the historical meteorological hydrologic information of each monitoring point through the deep artificial intelligence, and automatically retests and compensates the abnormal measurement parameters, namely
The processing unit judges urban waterlogging conditions;
When the processing unit judges that waterlogging occurs in the city, the processing unit is suitable for sending depth early warning information, traffic forbidden alarm information, heavy rain information, a ponding road section, ponding depth and drainage conditions to a server through a communication module so as to prompt safe traffic of pedestrians and customize a safe trip route plan;
The surface runoff ponding depth monitoring unit comprises: a plurality of flowmeters respectively arranged at each monitoring point and a plurality of embedded water level meters respectively arranged at each monitoring point;
The processing unit is suitable for collecting the actual surface runoff flow through the flowmeter;
the processing unit is suitable for collecting the depth of the ground water by the embedded water level gauge.
2. The urban inland inundation monitoring and early warning system of claim 1, wherein,
The underground drainage pipe network monitoring unit comprises: a plurality of cameras respectively arranged at each monitoring point and a plurality of input type water level meters respectively arranged at each monitoring point;
the processing unit is suitable for monitoring the drainage state of the underground drainage pipe network through the camera and the input type water level gauge.
3. The urban inland inundation monitoring and early warning system of claim 1, wherein,
The weather information monitoring unit includes: the weather monitoring devices are respectively arranged at each monitoring point;
the processing unit is adapted to collect weather information via the weather monitoring device.
4. The urban inland inundation monitoring and early warning system of claim 1, wherein,
The rainfall monitoring unit includes: a plurality of rainfall sensors respectively arranged at each monitoring point;
The processing unit is adapted to collect precipitation via a rainfall sensor.
5. A city waterlogging monitoring and early warning method is characterized by comprising the following steps:
Collecting the actual surface runoff flow, the ground ponding depth, the drainage state of the underground drainage pipe network, weather information and precipitation of each monitoring point;
Judging urban waterlogging conditions according to the actual surface runoff flow of each monitoring point, the ground ponding depth, the drainage state of the underground drainage pipe network, weather information and precipitation, and uploading the urban waterlogging conditions to a server in real time; and
When judging that waterlogging occurs in the city, controlling the drainage unit to drain water;
classifying and storing the actual surface runoff flow, the surface water accumulation depth, the drainage state of the underground drainage pipe network, the meteorological information and the precipitation of each monitoring point, establishing a table, counting, drawing a histogram and a time history curve, and carrying out the same-ratio annular ratio increase counting;
Acquiring historical meteorological hydrologic information from a server, comprehensively analyzing and drawing a comparison curve by combining the actual surface runoff flow, the ground water accumulation depth and the drainage state of an underground drainage pipe network of each monitoring point through deep artificial intelligence, and automatically retesting and compensating abnormal measurement parameters, namely
Judging urban inland inundation conditions;
when the urban waterlogging is judged, depth early warning information, traffic forbidden warning information, heavy rain information, a ponding road section, ponding depth and drainage conditions are sent to a server so as to prompt pedestrians and vehicles to safely pass through and customize a safe trip route plan.
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