CN113836622B - Drainage pipe network information management and comprehensive application system based on GIS and BIM - Google Patents
Drainage pipe network information management and comprehensive application system based on GIS and BIM Download PDFInfo
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Abstract
The invention discloses a drainage pipe network information management and comprehensive application system based on GIS (geographic information system) and BIM (building information management), which comprises two parts, namely software and hardware, wherein the hardware mainly comprises monitoring equipment, a wireless gateway, a solar panel and a system terminal. The software part mainly comprises a GPRS module, a drainage pipe network information management module, a drainage pipe network operation and maintenance decision module, a pipe network optimization design and waterlogging early warning and forecasting module and a pollutant traceability analysis module. The system can systematically and digitally manage information such as construction, maintenance and the like in the whole life cycle of the regional drainage pipe network, can realize BIM three-dimensional visual display of the drainage pipe network, can be used for forecasting and evaluating the health grade of the regional drainage pipe network, can be used for optimizing design and waterlogging early warning and forecasting of the regional drainage pipe network, and can also perform pollutant traceability analysis on the conditions such as misconnection of a rain and sewage pipe network and excessive discharge of enterprises.
Description
Technical Field
The invention relates to the technical field of ecological environmental protection and information, in particular to a drainage pipe network information management and comprehensive application system based on GIS (geographic information system) and BIM (building information modeling).
Background
The drainage pipe network is an important component of urban infrastructure and is a life line for ensuring normal operation of urban production and life. The traditional management mode of the drainage pipe network mainly relies on manual means to classify, sort and store construction data of the pipe network, and the problems that the data are scattered and imperfect, the data are easy to lose, the information transmission is lagged and difficult to share exist generally, and the modern management requirements of increasingly complicated urban drainage pipe networks are difficult to meet. In addition, in recent years, the waterlogging of partial domestic cities is frequent, and the phenomena of misconnection of rain and sewage pipe networks, enterprise stealing discharge or industrial waste water exceeding standard discharge are also frequent. Therefore, the underground drainage pipe network file is required to be digitally managed through an informatization means, and comprehensive applications such as waterlogging early warning and forecasting, pollutant traceability analysis and the like are developed based on a digital model of the drainage pipe network, so that personnel and property loss caused by urban waterlogging is reduced, and normal and efficient operation of an urban sewage treatment plant is ensured.
At present, the existing drainage pipe network management mode mainly has the following problems: (1) The drainage pipe network construction data is stored in the form of paper documents or drawings, so that visual and accurate position information is difficult to provide; (2) The drainage pipe network construction data, detection, monitoring, repair and other process data in the life cycle are scattered and are easy to lose, and systematic digital management cannot be realized; (3) Part of cities develop a drainage pipe network digital information management platform, but the drainage pipe network digital information cannot be combined with a hydraulic water quality simulation model to develop related applications.
Disclosure of Invention
The invention aims to provide a drainage pipe network information management and comprehensive application system based on GIS and BIM, which can realize regional drainage pipe network information management, inquiry, output, BIM three-dimensional visual display and GIS positioning, can forecast and evaluate the health grade of a regional drainage pipe network, can be used for regional drainage pipe network optimal design and waterlogging early warning and forecasting, and can carry out pollutant tracing analysis on the conditions of rainwater and sewage pipe network misconnection, enterprise out-of-standard emission and the like.
In order to realize the technical characteristics, the invention adopts the following technical scheme: a drainage pipe network information management and comprehensive application system based on GIS and BIM comprises a hardware system part and a software system part matched with the hardware system part; the hardware system part comprises monitoring equipment which is connected with a system terminal through a wireless gateway; the wireless gateway and the system terminal are connected with a solar panel for providing electric energy;
the software system part comprises a GPRS module, a drainage pipe network information management module, a drainage pipe network operation and maintenance decision module, a pipe network optimal design, a waterlogging early warning and forecasting module and a pollutant traceability analysis module.
The monitoring equipment comprises a liquid level sensor arranged in the inspection well, a flow sensor arranged in a pipeline communicated with the inspection well and a water quality monitor;
the liquid level sensor is used for monitoring the liquid level in the inspection well and transmitting monitoring data to the wireless gateway;
the flow sensor and the water quality monitor are used for monitoring the flow and the water quality in the pipeline communicated with the inspection well and transmitting the monitoring data to the wireless gateway.
The water quality monitor comprises an online PH meter, an online COD meter, an online SS meter, an online TP meter and an online NH3-N meter.
The wireless gateway is arranged outside the inspection well and is used for receiving the monitoring data transmitted by the monitoring equipment in the inspection well and transmitting the monitoring data to the GPRS module of the system terminal through the GPRS network.
The system terminal adopts a tablet personal computer or a PC.
The GPRS module is used for real-time communication between the system terminal and the wireless gateway outside the inspection well so as to realize real-time transmission and update of the monitoring data.
The drainage pipe network information management module comprises a drainage pipe network BIM model sub-module, a monitoring information management sub-module and a region heavy point pollution source information management sub-module;
the drainage pipe network BIM model submodule is used for storing, outputting, inquiring, BIM three-dimensional visual displaying and GIS positioning the BIM model of the regional drainage pipe network and the inspection well;
the associated attribute data of the drainage pipe network BIM model comprises: pipeline structure data: pipe material, pipe diameter, pipe length and wall thickness; pipeline function data: pipeline type, function grade; pipeline position data: pipeline number, upstream manhole number, downstream manhole number, road where the manhole is located, road grade, burial depth, X coordinate and Y coordinate; pipeline construction data: laying gradient, design fullness, design units and construction units; pipeline health data: run time, defect number and grade, defect detection method and time, defect detection unit, defect repair method and material, lining wall thickness, defect repair design and construction unit; pipeline environment data: groundwater level, soil type and geological conditions; tubing media data: the type of corrosive medium and the concentration of the corrosive medium;
the associated attribute data of the inspection well BIM model comprises: inspection shaft structural data: type, number, well diameter, well lid elevation, well bottom elevation and section shape; manhole functional data: the manhole type; inspection well position data: the road and road grade, the pipe section, the X coordinate and the Y coordinate; inspection well construction data: material, design unit and construction unit; inspection well health data: defect number and grade, defect detection time, defect detection unit, defect repair method and material, lining wall thickness, defect repair design and construction unit; inspection well environmental data: groundwater level, soil type and geological conditions;
the monitoring information management sub-module is used for storing, outputting and visually displaying liquid level data in the inspection well and flow and water quality data in a pipeline communicated with the inspection well;
the regional heavy point pollution source information management submodule is used for storing and managing the position data and the pollutant data of the regional heavy point pollution source, and the position data is as follows: numbering, X coordinate, Y coordinate, and the number of the outlet access pipeline; contaminant data: sewage type, sewage pretreatment process, prominent pollutant, drainage volume and water quality.
The drainage pipe network operation maintenance decision module comprises a drainage pipe network health forecasting sub-module and a drainage pipe network health evaluation sub-module;
the drainage pipe network health forecasting submodule is used for predicting the health grade of the drainage pipe by combining the data of 4 aspects of pipeline structure, function, environment and conveying medium, so that decision basis is provided for reasonably determining the detection priority of the drainage pipe, and the carpet type blind detection is avoided; wherein the piping structure includes: pipe material, pipe diameter, pipe length and wall thickness; the pipeline function data includes: pipeline type, function grade; the pipeline environment data includes: groundwater level, soil type and geological conditions; the transport medium data includes: the type of corrosive medium and the concentration of the corrosive medium;
the drainage pipe network health evaluation submodule is used for evaluating the health state of the drainage pipe network by combining data of 3 aspects of pipeline health, environment and position, wherein the pipeline health data comprises: run time, defect number and grade, defect repair method, material and liner wall thickness; the pipeline environment data includes: groundwater level, soil type and geological conditions; the pipe position data includes: road and road grade, burial depth.
The pipe network optimal design and waterlogging early warning and forecasting module comprises a regional rainwater pipe network hydraulic model sub-module, a weather forecasting sub-module, an underlying surface analysis sub-module, a model parameter setting sub-module, a pipe network optimal design sub-module and a regional ponding forecasting sub-module;
the regional rainwater pipe network hydraulic model submodule is used for establishing a regional rainwater pipe network hydraulic model by combining space and attribute data of a drainage pipe network, space and attribute data of an inspection well and regional GIS data, wherein the regional rainwater pipe network comprises a combined pipe network;
the weather forecast submodule is used for forecasting regional rainfall conditions based on the public weather data;
the underlying surface analysis submodule is used for dividing and classifying the underlying surfaces of the areas and calculating the comprehensive runoff coefficient of the areas according to the runoff coefficients and the total area occupation ratio of the underlying surfaces;
the model parameter setting sub-module is used for setting hydrologic hydraulic parameters and calibrating and verifying the model parameters through relevant monitoring data; wherein the hydrographic hydraulic parameters comprise a surface Manning coefficient, a pipeline Manning coefficient, a surface maximum infiltration rate and a surface minimum infiltration rate;
the pipe network optimization design submodule is used for analyzing drainage capacity of the regional rainwater pipe network and initial rain overflow pollution load by combining the regional rainwater pipe network hydraulic model and regional historical rainfall data, and providing a basis for regional rainwater pipe network transformation;
the regional ponding forecasting submodule is used for carrying out early warning forecasting on ponding position, ponding depth, ponding time and influence range elements in the region by combining the regional rainwater pipe network hydraulic model and regional rainfall forecasting.
The pollutant tracing analysis module comprises a regional sewage pipe network water quality model sub-module, a water quality model parameter setting sub-module and a pollutant tracing analysis sub-module;
the regional sewage pipe network water quality model submodule is used for establishing a regional dry day sewage pipe network water quality model by combining space and attribute data of a drainage pipe network, space and attribute data of an inspection well and regional heavy point pollution source data;
the water quality model parameter setting submodule is used for setting water quality model parameters and calibrating and verifying the model parameters through relevant monitoring data, wherein the water quality model parameters comprise longitudinal dispersion coefficients and pollutant primary degradation coefficients;
the pollutant tracing analysis submodule is used for analyzing whether the rain and sewage misconnection, enterprise stealing discharge or sewage exceeding standard discharge phenomenon exists in the area or not by combining the regional sewage pipe network water quality model and the water quantity and water quality monitoring data of each measuring point, and analyzing the possible position of a sewage outlet, the sewage time and the sewage discharge capacity.
Compared with the existing drainage pipe network information management system, the drainage pipe network information management and comprehensive application system based on GIS and BIM provided by the invention has the following advantages:
1. the system can realize BIM three-dimensional visual display of the underground drainage pipe network, can provide visual, complete and accurate pipe network position information for engineering construction in an area by combining the GIS data of the area, and can also systematically and digitally manage information such as construction, maintenance and the like in the whole life cycle of the drainage pipe network.
2. The system can forecast and evaluate the health grade of the drainage pipe network based on the structure, health, environmental information and the like in the whole life cycle of the drainage pipe network, and further the system is used for operating and maintaining the drainage pipe network in the area: and detecting and repairing, and providing decision basis.
3. The system can establish a regional rainwater pipe network hydraulic model based on space and attribute data of the drainage pipe network and the inspection well, and perform calibration and verification on model parameters through monitoring data such as the liquid level of the inspection well, the inlet and outlet flow of the pipeline and the like, so that a basis is provided for the optimal design of the regional drainage pipe network, and meanwhile, early warning and forecasting can be performed on regional waterlogging by combining information such as rainfall forecasting and the like.
4. The system can establish a regional sewage pipe network water quality model based on space and attribute data of the drainage pipe network and the inspection well, and perform calibration and verification on model parameters through pipeline inlet and outlet water quality monitoring data, so as to perform traceable analysis on the phenomena of regional rainwater and sewage misconnection, pollutant exceeding discharge and the like.
Drawings
The invention is further described below with reference to the drawings and examples.
FIG. 1 is a block diagram of the system architecture of the present invention.
In the figure: the monitoring device 1, the wireless gateway 2, the solar panel 3, the system terminal 4, the GPRS module 5, the drainage pipe network information management module 6, the drainage pipe network operation and maintenance decision module 7, the pipe network optimal design, the waterlogging early warning and forecasting module 8 and the pollutant tracing analysis module 9;
a liquid level sensor 1-1, a flow sensor 1-2 and a water quality monitor 1-3;
an online PH meter 1-3-1, an online COD meter 1-3-2, an online SS meter 1-3-3, an online TP meter 1-3-4, an online NH3-N meter 1-3-5;
a drainage pipe network BIM model sub-module 6-1, a monitoring information management sub-module 6-2 and a region heavy point pollution source information management sub-module 6-3;
a drainage pipe network health forecasting sub-module 7-1 and a drainage pipe network health evaluating sub-module 7-2;
the system comprises a regional rainwater pipe network hydraulic model sub-module 8-1, a weather forecast sub-module 8-2, an underlying surface analysis sub-module 8-3, a model parameter setting sub-module 8-4, a pipe network optimal design sub-module 8-5 and a regional ponding forecast sub-module 8-6;
the system comprises a regional sewage pipe network water quality model submodule 9-1, a water quality model parameter setting submodule 9-2 and a pollutant tracing analysis submodule 9-3.
Detailed Description
Embodiments of the present invention will be further described with reference to the accompanying drawings.
Referring to fig. 1, a drainage pipe network information management and comprehensive application system based on gis+bim includes a hardware system part and a software system part matched with the hardware system part; the hardware system part comprises a monitoring device 1, wherein the monitoring device 1 is connected with a system terminal 4 through a wireless gateway 2; the wireless gateway 2 and the system terminal 4 are connected with a solar panel 3 for providing electric energy; the software system part comprises a GPRS module 5, a drainage pipe network information management module 6, a drainage pipe network operation and maintenance decision module 7, a pipe network optimal design, a waterlogging early warning and forecasting module 8 and a pollutant traceability analysis module 9. By adopting the system provided by the invention, the construction, maintenance and other information in the whole life cycle of the regional drainage pipe network can be systematically and digitally managed, BIM three-dimensional visual display of the drainage pipe network can be realized, the system can be used for forecasting and evaluating the health grade of the regional drainage pipe network, the regional drainage pipe network can be used for optimizing design and waterlogging early warning and forecasting, and meanwhile, pollutant traceability analysis can be performed on the conditions of misconnection of a rain and sewage pipe network, excessive discharge of enterprises and the like.
Further, the monitoring equipment 1 comprises a liquid level sensor 1-1 arranged in the inspection well, a flow sensor 1-2 arranged in a pipeline communicated with the inspection well and a water quality monitor 1-3; the liquid level sensor 1-1 is used for monitoring the liquid level in the inspection well and transmitting monitoring data to the wireless gateway 2; the flow sensor 1-2 and the water quality monitor 1-3 are used for monitoring the flow and the water quality in a pipeline communicated with the inspection well and transmitting monitoring data to the wireless gateway 2.
Further, the water quality monitor 1-3 comprises an online PH meter 1-3-1, an online COD meter 1-3-2, an online SS meter 1-3-3, an online TP meter 1-3-4 and an online NH3-N meter 1-3-5. By adopting the monitors with different types, the water in the pipeline can be monitored in real time on line with different indexes, and monitoring data are transmitted from time to time, so that the subsequent use of the system is facilitated.
Further, the wireless gateway 2 is disposed outside the manhole, and is configured to receive the monitoring data transmitted by the in-manhole monitoring device 1, and transmit the monitoring data to the GPRS module 5 of the system terminal 4 through the GPRS network. The monitoring data can be transmitted by other wireless transmission modes or wired transmission modes.
Further, the system terminal 4 adopts a tablet personal computer or a PC. The system terminal 4 is used for running a software part of the system so as to store, analyze and calculate data and output corresponding results.
Further, the GPRS module 5 is configured to communicate with the external wireless gateway 2 in real time between the system terminal 4 and the external wireless gateway 2, so as to implement real-time transmission and update of monitoring data. The adoption of the GPRS module 5 ensures the stability and reliability of data transmission.
Further, the drainage pipe network information management module 6 comprises a drainage pipe network BIM model sub-module 6-1, a monitoring information management sub-module 6-2 and a region heavy point pollution source information management sub-module 6-3; the drainage pipe network information management module 6 is mainly used for managing the data information of the drainage pipe network.
Furthermore, the drainage pipe network BIM model submodule 6-1 is used for storing, outputting, inquiring, BIM three-dimensional visual display and GIS positioning the BIM models of the regional drainage pipe network and the inspection well.
Wherein, the associated attribute data of drain pipe network BIM model includes: pipeline structure data: pipe material, pipe diameter, pipe length and wall thickness; pipeline function data: pipeline type, function grade; pipeline position data: pipeline number, upstream manhole number, downstream manhole number, road where the manhole is located, road grade, burial depth, X coordinate and Y coordinate; pipeline construction data: laying gradient, design fullness, design units and construction units; pipeline health data: run time, defect number and grade, defect detection method and time, defect detection unit, defect repair method and material, lining wall thickness, defect repair design and construction unit; pipeline environment data: groundwater level, soil type and geological conditions; tubing media data: the type of corrosive medium and the concentration of the corrosive medium. The visual management of the drainage pipe network can be realized through the detailed drainage pipe network BIM model.
Further, the association attribute data of the inspection well BIM model includes: inspection shaft structural data: type, number, well diameter, well lid elevation, well bottom elevation and section shape; manhole functional data: the manhole type; inspection well position data: the road and road grade, the pipe section, the X coordinate and the Y coordinate; inspection well construction data: material, design unit and construction unit; inspection well health data: defect number and grade, defect detection time, defect detection unit, defect repair method and material, lining wall thickness, defect repair design and construction unit; inspection well environmental data: groundwater level, soil type and geological conditions. Visual management of the inspection well can be achieved through the detailed inspection well BIM model.
Further, the monitoring information management sub-module 6-2 is used for storing, outputting and visually displaying liquid level data in the inspection well and flow and water quality data in a pipeline communicated with the inspection well; the regional heavy point pollution source information management sub-module 6-3 is used for storing and managing the position data and the pollutant data of the regional heavy point pollution source, wherein the position data is as follows: numbering, X coordinate, Y coordinate, and the number of the outlet access pipeline; contaminant data: sewage type, sewage pretreatment process, prominent pollutant, drainage volume and water quality. The monitoring information management sub-module 6-2 can be used for effectively managing the monitored data information.
Further, the drainage pipe network operation and maintenance decision module 7 comprises a drainage pipe network health forecasting sub-module 7-1 and a drainage pipe network health evaluation sub-module 7-2; the drainage pipe network health forecasting submodule 7-1 is used for forecasting the health grade of the drainage pipe by combining the data of 4 aspects of pipeline structure, function, environment and conveying medium, so that decision basis is provided for reasonably determining the detection priority of the drainage pipe, and carpet type blind detection is avoided; wherein the piping structure includes: pipe material, pipe diameter, pipe length and wall thickness; the pipeline function data includes: pipeline type, function grade; the pipeline environment data includes: groundwater level, soil type and geological conditions; the transport medium data includes: the type of corrosive medium and the concentration of the corrosive medium.
Further, the drainage pipe network health evaluation submodule 7-2 is used for evaluating the health status of the drainage pipe network health evaluation submodule by combining data of 3 aspects of pipe health, environment and position, wherein the pipe health data comprises: run time, defect number and grade, defect repair method, material and liner wall thickness; the pipeline environment data includes: groundwater level, soil type and geological conditions; the pipe position data includes: road and road grade, burial depth.
Further, the pipe network optimal design and waterlogging early warning and forecasting module 8 comprises a regional rainwater pipe network hydraulic model sub-module 8-1, a weather forecasting sub-module 8-2, an underlying surface analyzing sub-module 8-3, a model parameter setting sub-module 8-4, a pipe network optimal design sub-module 8-5 and a regional water accumulation forecasting sub-module 8-6;
further, the regional rainwater pipe network hydraulic model submodule 8-1 is used for establishing a regional rainwater pipe network hydraulic model by combining space and attribute data of a drainage pipe network, space and attribute data of an inspection well and regional GIS data, wherein the regional rainwater pipe network comprises a combined pipe network;
further, the weather forecast sub-module 8-2 is used for forecasting regional rainfall conditions based on the public weather data;
further, the sub-module for analyzing the underlying surface 8-3 is configured to divide and classify the underlying surface of the area, and calculate an area comprehensive runoff coefficient according to the runoff coefficients and the total area occupation ratio of each underlying surface;
further, the model parameter setting submodule 8-4 is used for setting hydrologic hydraulic parameters and calibrating and verifying the model parameters through relevant monitoring data; wherein the hydrographic hydraulic parameters comprise a surface Manning coefficient, a pipeline Manning coefficient, a surface maximum infiltration rate and a surface minimum infiltration rate;
furthermore, the pipe network optimization design submodule 8-5 is used for analyzing the drainage capacity of the regional rainwater pipe network and the initial rain overflow pollution load by combining the regional rainwater pipe network hydraulic model and the regional historical rainfall data, and providing a basis for regional rainwater pipe network transformation;
furthermore, the regional ponding forecasting submodule 8-6 is used for carrying out early warning forecasting on ponding position, ponding depth, ponding time and influence range elements in the region by combining a regional rainwater pipe network hydraulic model and regional rainfall forecasting.
Further, the pollutant tracing analysis module 9 comprises a regional sewage pipe network water quality model submodule 9-1, a water quality model parameter setting submodule 9-2 and a pollutant tracing analysis submodule 9-3;
further, the regional sewage pipe network water quality model submodule 9-1 is used for establishing a regional dry day sewage pipe network water quality model by combining space and attribute data of a drainage pipe network, space and attribute data of an inspection well and regional heavy point pollution source data;
further, the water quality model parameter setting submodule 9-2 is used for setting water quality model parameters, and calibrating and verifying model parameters through relevant monitoring data, wherein the water quality model parameters comprise longitudinal dispersion coefficients and pollutant primary degradation coefficients;
furthermore, the pollutant tracing analysis submodule 9-3 is used for analyzing whether the rain and sewage misconnection, enterprise stealing drainage or sewage exceeding standard drainage phenomenon exists in the area or not by combining the regional sewage pipe network water quality model and the water quantity and water quality monitoring data of each measuring point, and analyzing the possible position of a sewage outlet, the sewage drainage time and the sewage drainage capacity.
The specific working flow of the system is as follows:
the monitoring equipment 1 (a liquid level sensor, a flow sensor and an on-line water quality monitor) arranged in the inspection well transmits monitoring data to the wireless gateway 2 arranged outside the inspection well in real time; the wireless gateway 2 transmits the monitoring data to a GPRS module 5 of the system terminal through a GPRS network and further stores the monitoring data to a monitoring information management sub-module 6-2; the drainage pipe network BIM model submodule 6-1 is used for storing space and attribute data of the drainage pipe network and the inspection well and realizing information digital management in the whole life cycle of the drainage pipe network and the inspection well; the regional heavy-point pollution source information management sub-module 6-3 is used for storing relevant information of key pollution discharge enterprises in the region;
the drainage pipe network operation maintenance decision module 7 is used for predicting and evaluating the health grade of the drainage pipe network based on the drainage pipe network space and attribute data, and providing decision basis for reasonably determining the drainage pipe detection and repair priority;
the pipe network optimization design and waterlogging early warning and forecasting module 8 is used for establishing a regional rainwater pipe network hydraulic model by combining drainage pipe network space and attribute data and regional GIS data, analyzing regional rainwater pipe network drainage capacity, initial rain overflow pollution load and the like by combining regional historical rainfall data, and providing a basis for regional rainwater pipe network transformation; meanwhile, the regional rainfall forecast can be combined to carry out early warning forecast on regional waterlogging ponding;
the pollutant tracing analysis module 9 is used for combining the drainage pipe network space and attribute data and the regional heavy-point pollution source data to establish a regional dry-day sewage pipe network water quality model, so as to analyze whether the phenomenon of rain and sewage misconnection, enterprise stealing drainage or exceeding standard sewage drainage exists in the region or not and analyze the possible position of a sewage outlet, sewage time and sewage discharge capacity.
Claims (4)
1. The drainage pipe network information management and comprehensive application system based on GIS and BIM is characterized by comprising a hardware system part and a software system part matched with the hardware system part; the hardware system part comprises a monitoring device (1), wherein the monitoring device (1) is connected with a system terminal (4) through a wireless gateway (2); the wireless gateway (2) and the system terminal (4) are connected with a solar panel (3) for providing electric energy;
the software system part comprises a GPRS module (5), a drainage pipe network information management module (6), a drainage pipe network operation and maintenance decision module (7), a pipe network optimal design and waterlogging early warning and forecasting module (8) and a pollutant traceability analysis module (9);
the monitoring equipment (1) comprises a liquid level sensor (1-1) arranged in the inspection well, a flow sensor (1-2) arranged in a pipeline communicated with the inspection well and a water quality monitor (1-3);
the liquid level sensor (1-1) is used for monitoring the liquid level in the inspection well and transmitting monitoring data to the wireless gateway (2);
the flow sensor (1-2) and the water quality monitor (1-3) are used for monitoring the flow and the water quality in a pipeline communicated with the inspection well and transmitting monitoring data to the wireless gateway (2);
the water quality monitor (1-3) comprises an online PH meter (1-3-1), an online COD meter (1-3-2), an online SS meter (1-3-3), an online TP meter (1-3-4) and an online NH3-N meter (1-3-5);
the drainage pipe network information management module (6) comprises a drainage pipe network BIM model sub-module (6-1), a monitoring information management sub-module (6-2) and a region heavy point pollution source information management sub-module (6-3);
the drainage pipe network BIM model submodule (6-1) is used for storing, outputting, inquiring and performing BIM three-dimensional visual display and GIS positioning on the BIM model of the regional drainage pipe network and the inspection well;
the associated attribute data of the drainage pipe network BIM model comprises: pipeline structure data: pipe material, pipe diameter, pipe length and wall thickness; pipeline function data: pipeline type, function grade; pipeline position data: pipeline number, upstream manhole number, downstream manhole number, road where the manhole is located, road grade, burial depth, X coordinate and Y coordinate; pipeline construction data: laying gradient, design fullness, design units and construction units; pipeline health data: run time, defect number and grade, defect detection method and time, defect detection unit, defect repair method and material, lining wall thickness, defect repair design and construction unit; pipeline environment data: groundwater level, soil type and geological conditions; tubing media data: the type of corrosive medium and the concentration of the corrosive medium;
the associated attribute data of the inspection well BIM model comprises: inspection shaft structural data: type, number, well diameter, well lid elevation, well bottom elevation and section shape; manhole functional data: the manhole type; inspection well position data: the road and road grade, the pipe section, the X coordinate and the Y coordinate; inspection well construction data: material, design unit and construction unit; inspection well health data: defect number and grade, defect detection time, defect detection unit, defect repair method and material, lining wall thickness, defect repair design and construction unit; inspection well environmental data: groundwater level, soil type and geological conditions;
the monitoring information management sub-module (6-2) is used for storing, outputting and visually displaying liquid level data in the inspection well and flow and water quality data in a pipeline communicated with the inspection well;
the regional heavy point pollution source information management submodule (6-3) is used for storing and managing the position data and the pollutant data of the regional heavy point pollution source, wherein the position data are as follows: numbering, X coordinate, Y coordinate, and the number of the outlet access pipeline; contaminant data: the type of sewage, the sewage pretreatment process, the prominent pollutant, the drainage volume and the water quality;
the drainage pipe network operation maintenance decision module (7) comprises a drainage pipe network health forecasting sub-module (7-1) and a drainage pipe network health evaluation sub-module (7-2);
the drainage pipe network health forecasting submodule (7-1) is used for forecasting the health grade of the drainage pipe by combining the data of 4 aspects of the pipeline structure, the function, the environment and the conveying medium, so that decision basis is provided for reasonably determining the detection priority of the drainage pipe, and the carpet type blind detection is avoided; wherein the piping structure includes: pipe material, pipe diameter, pipe length and wall thickness; the pipeline function data includes: pipeline type, function grade; the pipeline environment data includes: groundwater level, soil type and geological conditions; the transport medium data includes: the type of corrosive medium and the concentration of the corrosive medium;
the drainage pipe network health evaluation submodule (7-2) is used for evaluating the health state of the drainage pipe network health evaluation submodule by combining data of 3 aspects of pipe health, environment and position, wherein the pipe health data comprises: run time, defect number and grade, defect repair method, material and liner wall thickness; the pipeline environment data includes: groundwater level, soil type and geological conditions; the pipe position data includes: road and road grade, burial depth;
the pipe network optimal design and waterlogging early warning and forecasting module (8) comprises a regional rainwater pipe network hydraulic model sub-module (8-1), a weather forecasting sub-module (8-2), an underlying surface analysis sub-module (8-3), a model parameter setting sub-module (8-4), a pipe network optimal design sub-module (8-5) and a regional water logging forecasting sub-module (8-6);
the regional rainwater pipe network hydraulic model submodule (8-1) is used for establishing a regional rainwater pipe network hydraulic model by combining space and attribute data of a drainage pipe network, space and attribute data of an inspection well and regional GIS data, wherein the regional rainwater pipe network comprises a combined pipe network;
the weather forecast sub-module (8-2) is used for forecasting regional rainfall conditions based on the public weather data;
the underlying surface analysis submodule (8-3) is used for dividing and classifying the underlying surfaces of the areas and calculating the comprehensive runoff coefficients of the areas according to the runoff coefficients and the total area occupation ratio of the underlying surfaces;
the model parameter setting submodule (8-4) is used for setting hydrologic hydraulic parameters and calibrating and verifying the model parameters through relevant monitoring data; wherein the hydrographic hydraulic parameters comprise a surface Manning coefficient, a pipeline Manning coefficient, a surface maximum infiltration rate and a surface minimum infiltration rate;
the pipe network optimization design submodule (8-5) is used for analyzing drainage capacity of the regional rainwater pipe network and initial rain overflow pollution load by combining the regional rainwater pipe network hydraulic model and regional historical rainfall data, and providing a basis for regional rainwater pipe network transformation;
the regional ponding forecasting submodule (8-6) is used for carrying out early warning forecasting on ponding position, ponding depth, ponding time and influence range elements in the region by combining a regional rainwater pipe network hydraulic model and regional rainfall forecasting;
the pollutant tracing analysis module (9) comprises a regional sewage pipe network water quality model submodule (9-1), a water quality model parameter setting submodule (9-2) and a pollutant tracing analysis submodule (9-3);
the regional sewage pipe network water quality model submodule (9-1) is used for establishing a regional dry day sewage pipe network water quality model by combining space and attribute data of a drainage pipe network, space and attribute data of an inspection well and regional heavy point pollution source data;
the water quality model parameter setting submodule (9-2) is used for setting water quality model parameters and calibrating and verifying the model parameters through relevant monitoring data, wherein the water quality model parameters comprise longitudinal dispersion coefficients and pollutant primary degradation coefficients;
the pollutant tracing analysis submodule (9-3) is used for analyzing whether the rain and sewage misconnection, enterprise stealing drainage or sewage exceeding standard drainage phenomenon exists in the area or not by combining the regional sewage pipe network water quality model and the water quantity and water quality monitoring data of each measuring point, and analyzing the possible drain position, drain time and drain quantity.
2. The drainage network information management and comprehensive application system based on GIS+BIM according to claim 1, wherein: the wireless gateway (2) is arranged outside the inspection well and is used for receiving the monitoring data transmitted by the monitoring equipment (1) in the inspection well and transmitting the monitoring data to the GPRS module (5) of the system terminal (4) through the GPRS network.
3. The drainage network information management and comprehensive application system based on GIS+BIM according to claim 1, wherein: the system terminal (4) adopts a tablet personal computer or a PC.
4. The drainage network information management and comprehensive application system based on GIS+BIM according to claim 1, wherein: the GPRS module (5) is used for real-time communication between the system terminal (4) and the wireless gateway (2) outside the inspection well so as to realize real-time transmission and updating of monitoring data.
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| CN115168448A (en) * | 2022-07-05 | 2022-10-11 | 生态环境部华南环境科学研究所(生态环境部生态环境应急研究所) | Drainage pipe network problem diagnosis device and method based on GIS |
| CN116298159B (en) * | 2023-03-14 | 2024-01-23 | 南京高科环境科技有限公司 | Industrial sewage plant pollutant tracing method and device, storage medium and computer equipment |
| CN115994694B (en) * | 2023-03-22 | 2023-05-23 | 北京埃睿迪硬科技有限公司 | Sewage tracing method, device and equipment |
| CN117171258B (en) * | 2023-09-07 | 2024-04-12 | 中国铁建港航局集团有限公司 | AR pipe network information display method, system and storage medium based on GIS positioning |
| CN118012978B (en) * | 2024-04-10 | 2024-06-07 | 江苏国创环保科技有限公司 | Contaminated site data processing method and system based on BIM-GIS technology |
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