CN113719760B - Pipe network operation intelligent early warning analysis method and system based on geographic information - Google Patents
Pipe network operation intelligent early warning analysis method and system based on geographic information Download PDFInfo
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Abstract
A pipe network operation intelligent early warning analysis method and system based on geographic information relate to the technical field of pipe network pressure monitoring early warning, and comprise the following steps: the method comprises the steps of basic information collection, data modeling, monitoring and early warning, forming a large-scale professional underground pipeline map by collecting geographic information data of a pipe network and a corresponding area, dividing the pipe network area into a plurality of independent small areas according to the directions of a pump station and the pipe network, arranging pressure monitoring points at the outlet of the pump station, a secondary pressure transfer inlet, the characteristic points of the pipe network and the like, fitting the pressure condition of any other pressure pipe network without the monitoring point position through the known monitoring points and the geographic information data, solving the problem that the pressure monitoring equipment is mainly arranged on the characteristic points of the pipe network in the existing pipe network pressure monitoring, and carrying out single-point pressure data real-time collection, wherein the obtained pressure data only can be a discrete variable set in space and only can reflect the real-time pressure of the current installation position and can not comprehensively reflect the pressure condition of the area.
Description
Technical Field
The invention relates to the technical field of pipe network pressure monitoring and early warning, in particular to a pipe network operation intelligent early warning analysis method and system based on geographic information.
Background
The pipe explosion of the pressure pipe network is caused by not only aging and physical settlement of the pipe network, but also unstable pressure of the pipe network. In order to master the operation condition of the pipe network at any time, an online pressure measuring point needs to be established on the pipe network, and abnormal pressure is found in time and pipe explosion accidents are prevented through remote real-time monitoring and change trend analysis of the pipe network pressure. Dispatching personnel adjust the pressure of the pump station according to the pressure of the pipe network, so that the aims of guaranteeing the pressure balance of the pipe network, saving energy, reducing consumption, and operating safely and stably are fulfilled.
The current pipe network pressure monitoring mainly comprises the steps that pressure monitoring equipment is installed on a pipe network characteristic point, single-point pressure data are collected in real time, the obtained pressure data only can be a discrete variable set in space, only the real-time pressure of the current installation position can be reflected, and the pressure condition of an area cannot be comprehensively reflected.
Therefore, a method and a system capable of comprehensively simulating the regional pressure condition through a limited pressure point are needed, and the regional pipe network pressure condition is comprehensively reflected by the point and the surface, so that the operation monitoring and early warning of the pipe network are further carried out.
Disclosure of Invention
The embodiment of the invention provides a method and a system for intelligent early warning and analysis of pipe network operation based on geographic information. And dividing the pipe network area into a plurality of independent small areas according to the directions of the pump station and the pipe network, and arranging pressure monitoring points at the outlet of the pump station, the secondary pressure transfer inlet/outlet, the characteristic points of the pipe network and the like. And the three-dimensional coordinate data of the pressure monitoring points and the real-time pressure data of the pressure monitoring equipment form dynamic four-dimensional data of the monitoring points. The pressure conditions of the pressure pipe network at any other non-monitoring point positions are fitted through known monitoring points and geographic information data, the other non-monitoring point positions include but are not limited to any earth surface, a first building layer, a top building layer and other spatial positions, and then the whole area pipe network and spatial pressure distribution are quantitatively and qualitatively comprehensively displayed by means of a visual geographic information technology. By adopting the method, pressure data are acquired only by arranging pressure monitoring points at the outlet of a pump station, the secondary pressure transfer inlet, the secondary pressure transfer outlet, the characteristic points of a pipe network and the like, and the limitation that the current pressure measurement information can only be a discrete variable set in space is solved through geographic information acquisition and spatial data fitting. Under the limited condition of pressure monitoring point quantity, easily acquire regional interior pipe network pressure and the distribution information of spatial simulation pressure, the regional pressure situation of comprehensive reaction, further prevent that local pipe network pressure from too high leading to the pipe network pipe explosion promptly, prevent again that local pipe network pressure is not enough to cause and not have the phenomenon such as fluid medium is available, further guarantee to press the safe and stable operation of pipe network.
A pipe network operation intelligent early warning analysis method based on geographic information comprises the following steps:
s1, collecting basic information, namely collecting geographic information data of a pipe network area and data of a corresponding pipe network;
wherein the step S1 includes:
s11, collecting basic data, and collecting original pipeline data;
s12, collecting geographic information data, namely collecting the geographic information data of a pipe network area according to the same scale under the same coordinate system to form a large-scale topographic map;
s13, collecting pipe network information data and pipe network attribute information, wherein the pipe network attribute information comprises pipe diameters, materials, buried depths, pipeline elements, pump rooms and the like, and a professional underground pipeline diagram is formed;
s2, modeling data, and establishing a pressure calculation model;
wherein the step S2 includes:
s21, generating a tile map of a pipe network area, and generating the tile map according to the large-scale topographic map obtained in the step S12;
s22, generating grid point three-dimensional coordinate data, generating a square grid according to the tile map obtained in the step S21 and the corresponding step pitch of the tile map grade, obtaining fixed plane coordinates of each grid point, and obtaining elevation values of the grid points by combining geographic information through a straight line interpolation method;
s23, planning and distributing pressure monitoring points;
s24, generating monitoring point four-dimensional data, and in the step S23, when pressure monitoring equipment is installed in the planning and laying process of the monitoring points, acquiring three-dimensional coordinate data of the pressure monitoring points, wherein the three-dimensional coordinate data of the pressure monitoring points and the real-time pressure data of the pressure monitoring equipment form dynamic monitoring point four-dimensional data;
and S3, monitoring and early warning, and early warning the operation of the pipe network.
Further, the step S23 includes:
s231, dividing a pipe network area into a plurality of independent small areas according to the pump station and the pipe network trend according to the professional underground pipeline diagram obtained in the step S13;
and S232, setting pressure monitoring points in the area obtained in the step S231 by combining the pipe network characteristics, and installing pressure monitoring equipment.
Further, the step S3 includes:
s31, simulating grid point pressure values, calculating the pressure value of each grid point according to the monitoring point four-dimensional data obtained in the step S24 and the grid point three-dimensional coordinate data obtained in the step S22, taking the pressure monitoring point with the nearest regional distance, neglecting the pressure loss caused by the liquid flow and the pipeline resistance of the pipe network, simplifying the pressure adjustment difference of the complex pipe network, and fitting and calculating the simulated pressure value of each grid point according to the relation between the pipe network pressure and the height difference to form simulated pressure data;
s32, generating a regional pressure distribution diagram, and displaying the simulated pressure values of all the grid points in a grading manner by using the magnitude of the color depth reaction pressure values and combining a tile base map according to the simulated pressure data obtained in the step S31 and corresponding to different color blocks according to different pressure values;
s33, early warning is carried out, low-pressure limit values and high-pressure limit values of the pipe network are set according to the regional pressure distribution map and the conditions of the pipe network region and buildings of the pipe network region, when the low-pressure limit values exceed the limit values, the region corresponding to the pressure distribution map is highlighted and early warning information is sent out, and the manager can carry out depressurization work aiming at the high-pressure region and pressurization work aiming at the low-pressure region according to the pressure distribution map and the early warning information.
Further, in step S31, when the building in the pipe network area has plane and elevation information, the pressure values of the building ± 0 floor and the top floor in the pipe network area may be obtained through fitting calculation according to the relationship between the pipe network pressure and the elevation difference.
Further, in step S11, the original pipeline data is collected, which includes design data and completion data.
Further, in step S232, the pressure monitoring points set in the area include a pump station outlet, a secondary pressure conversion inlet/outlet, a pipe network characteristic point, and the like.
In a second aspect, an embodiment of the present invention provides a pipe network operation intelligent early warning analysis system based on geographic information, including: the system comprises a basic information acquisition module, a data modeling module and a detection early warning module;
the basic information acquisition module is used for acquiring geographic information data of a pipe network area and data of a corresponding pipe network;
the data modeling module is used for establishing a pressure calculation model;
the detection early warning module is used for early warning the operation of the pipe network.
Further, the basic information acquisition module comprises a basic data collection unit, a geographic information data acquisition unit and a pipe network information data acquisition unit, wherein the basic data collection unit is used for collecting original pipeline data, the geographic information data acquisition unit is used for acquiring a large-scale topographic map of a pipe network area, and the pipe network information data acquisition unit is used for acquiring pipe network attribute information.
Furthermore, the data modeling module comprises a tile map generating unit, a grid point three-dimensional coordinate data calculating unit, a pressure monitoring unit and a monitoring point four-dimensional data collecting unit, wherein the tile map generating unit is used for generating a tile map according to the large-scale topographic map obtained by the geographic information data collecting unit, the grid point three-dimensional coordinate data calculating unit is used for generating a square grid according to the generated tile map according to the corresponding step distance of the tile map to obtain the fixed plane coordinates of each grid point, the elevation values of the grid points are obtained by combining the geographic information through a linear interpolation method, the pressure monitoring unit is used for detecting the pressure values of the pressure monitoring points, the pressure monitoring unit comprises pressure monitoring equipment, and the monitoring point four-dimensional data collecting unit is used for collecting the three-dimensional coordinate data of the pressure monitoring points and the real-time pressure data of the pressure monitoring equipment to form dynamic monitoring point four-dimensional data.
The detection and early warning module comprises a grid point pressure value simulation unit, a regional pressure distribution diagram generation unit and a monitoring and early warning unit, wherein the grid point pressure value simulation unit is used for calculating the pressure value of each grid point according to the monitoring point four-dimensional data obtained by the monitoring point four-dimensional data acquisition unit and the grid point three-dimensional coordinate data obtained by the grid point three-dimensional coordinate data calculation unit, taking the pressure monitoring point with the nearest regional distance, neglecting the pressure loss caused by the liquid flow and the pipeline resistance of the pipe network, simplifying the pressure adjustment of the complex pipe network, fitting and calculating the simulated pressure value of each grid point according to the relation between the pressure and the height difference of the pipe network to form simulated pressure data, the regional pressure distribution diagram generation unit is used for obtaining a regional pressure distribution diagram according to the simulated pressure data, the monitoring and early warning unit is used for setting the low-pressure and high-pressure limit values of the pipe network according to the combination of the conditions of the building of the region of the pipe network and the region of the pipe network, and sending warning information to a manager when the low-pressure and high-pressure distribution diagram exceeds the limit values.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
according to the invention, a large-scale professional underground pipeline map is formed by collecting geographic information data of a pipe network and a corresponding area. And dividing the pipe network area into a plurality of independent small areas according to the directions of the pump station and the pipe network, and arranging pressure monitoring points at the outlet of the pump station, the secondary pressure transfer inlet/outlet, the characteristic points of the pipe network and the like. And the three-dimensional coordinate data of the pressure monitoring points and the real-time pressure data of the pressure monitoring equipment form dynamic four-dimensional data of the monitoring points. The pressure conditions of the pressure pipe network at any other non-monitoring point positions are fitted through known monitoring points and geographic information data, the other non-monitoring point positions include but are not limited to any earth surface, a first building layer, a top building layer and other spatial positions, and then the whole-area pipe network and spatial pressure distribution are quantitatively and qualitatively and comprehensively displayed by means of a visual geographic information technology. By adopting the method, pressure data are acquired only by arranging pressure monitoring points at the outlet of the pump station, the secondary pressure transfer inlet and outlet, the characteristic points of the pipe network and the like, and the limitation that the current pressure measurement information can only be a discrete variable set in space is solved through geographic information acquisition and spatial data fitting. Under the limited condition of pressure monitoring point quantity, easily acquire regional interior pipe network pressure and the distribution information of spatial simulation pressure, the regional pressure situation of comprehensive reaction, further prevent that local pipe network pressure from too high leading to the pipe network pipe explosion promptly, prevent again that local pipe network pressure is not enough to cause and not have the phenomenon such as fluid medium is available, further guarantee to press the safe and stable operation of pipe network.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a method for intelligent early warning and analysis of pipe network operation based on geographic information according to an embodiment of the present invention;
FIG. 2 is a schematic flowchart of step S1 disclosed in the embodiment of the present invention;
FIG. 3 is a schematic flowchart of step S2 according to the disclosure of the present invention;
FIG. 4 is a flowchart illustrating step S23 according to the disclosure of the present invention;
FIG. 5 is a flowchart illustrating step S3 according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an intelligent early warning analysis system for pipe network operation based on geographic information according to an embodiment of the present invention.
Reference numerals:
100. a basic information acquisition module; 101. a basic data collecting unit; 102. a geographic information data acquisition unit; 103. a pipe network information data acquisition unit; 200. a data modeling module; 201. a tile map generation unit; 202. a lattice point three-dimensional coordinate data calculation unit; 203. a pressure monitoring unit; 204. a monitoring point four-dimensional data acquisition unit; 300. a detection early warning module; 301. a grid point pressure value simulation unit; 302. a regional pressure distribution map generation unit; 303. and a monitoring and early warning unit.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Example one
As shown in fig. 1 to 5, an embodiment of the present invention provides a method for intelligent early warning and analyzing operation of a pipe network based on geographic information, including the following steps:
s1, collecting basic information, namely collecting geographic information data of a pipe network area and data of a corresponding pipe network;
specifically, step S1 includes:
s11, collecting basic data, namely collecting original pipeline data, wherein the collected original pipeline data comprises design data and completion data;
s12, collecting geographic information data, wherein the coordinate of the geographic information data of the pipe network area is any one of plane coordinate data (x, y, z) or geodetic coordinate data (L, B, H), and collecting the geographic information data of the pipe network area according to the same scale under the same coordinate system to form a large-scale topographic map;
s13, collecting pipe network information data and pipe network attribute information, wherein the pipe network attribute information is obtained according to the design data and completion data obtained in the step S11 and comprises pipe diameter, material, burial depth, pipeline elements (valves, water meters, filters, check valves and the like), pump rooms and the like to form a professional underground pipeline diagram;
s2, modeling data, and establishing a pressure calculation model;
specifically, step S2 includes:
s21, generating a tile map of the pipe network area, and generating the tile map according to the large-scale topographic map obtained in the step S12;
s22, generating grid point three-dimensional coordinate data (x, y, z), generating a square grid according to the tile map obtained in the step S21 and the corresponding step distance of the tile map grade, obtaining fixed plane coordinates (x, y) of each grid point, and obtaining the elevation value of each grid point by combining with geographic information through a straight line interpolation method, thereby obtaining the grid point three-dimensional coordinate data (x, y, z);
s23, planning and distributing pressure monitoring points;
specifically, step S23 includes:
s231, dividing a pipe network area into a plurality of independent small areas according to the pump station and the pipe network trend according to the professional underground pipeline diagram obtained in the step S13;
s232, setting pressure monitoring points in the area obtained in the step S231, and installing pressure monitoring equipment, wherein the positions of the pressure monitoring points in the area comprise a pump station outlet, a secondary pressure transfer inlet/outlet and a pipe network characteristic point;
s24, generating monitoring point four-dimensional data (x, y, z, p), and in the step S23, when pressure monitoring equipment is installed in the planning and laying process of monitoring points, acquiring three-dimensional coordinate data (x, y, z) of the pressure monitoring points, wherein the three-dimensional coordinate data (x, y, z) of the pressure monitoring points and the real-time dynamic pressure data p of the pressure monitoring equipment form dynamic monitoring point four-dimensional data (x, y, z, p);
s3, monitoring and early warning, and early warning the operation of the pipe network;
specifically, step S3 includes:
s31, simulating the pressure values of the grid points, and calculating the pressure value p of each grid point according to the four-dimensional data (x, y, z, p) of the monitoring points obtained in the step S24 and the three-dimensional coordinate data (x, y, z) of the grid points obtained in the step S22, wherein the simulation method specifically comprises the following steps: the method comprises the steps that a pressure monitoring point closest to the same area is taken, pressure loss caused by liquid flow of a pipe network and pipeline resistance is ignored, the pressure adjustment difference of a complex pipe network is simplified, the simulated pressure value of each grid point is calculated in a fitting mode according to the relation between the pressure of the pipe network and the height difference to form simulated pressure data, when a building in the pipe network area has plane and elevation information, the pressure value p of a plus or minus 0 layer and a top layer of the building in the pipe network area can be obtained in a fitting mode according to the relation between the pressure of the pipe network and the height difference, for example, the pressure monitored by the pressure monitoring point closest to the grid point a in the same area is 1MPa, the pressure of the grid point a in the same area is 1MPa when the elevation value of the grid point a is consistent with the height of the pressure monitoring point, in practical application, the pressure of the grid point a in a vertical pipeline can be conveyed to the height of 10 meters by the pressure monitoring point a by the 1MPa, the height is higher, the water pressure in the pipeline is lower, and the pressure value of the grid point a in the same area and the building in the top layer can be obtained according to the pressure value p in the building in the inverse proportion of the height to the height of the pressure monitoring point a;
s32, generating a regional pressure distribution diagram, and displaying the simulated pressure values of all the grid points in a grading manner by using the magnitude of the color depth reaction pressure values and combining a tile base map according to the simulated pressure data obtained in the step S31 and corresponding to different color blocks according to different pressure values;
s33, early warning is carried out, low-pressure limit values and high-pressure limit values of a pipe network are set according to the combination of the regional pressure distribution map and building conditions of a pipe network region and the pipe network region, when the limit values are exceeded, the region corresponding to the pressure distribution map is highlighted and early warning information is sent out, and a manager can carry out depressurization work aiming at the high-pressure region and pressurization work aiming at the low-pressure region according to the pressure distribution map and the early warning information, so that the whole pressure balance of the region is kept, and pipe network pipe explosion accidents caused by overpressure are fundamentally reduced on the premise of ensuring the living demands of the region.
According to the invention, a large-scale professional underground pipeline map is formed by collecting geographic information data of a pipe network and a corresponding area. And dividing the pipe network area into a plurality of independent small areas according to the directions of the pump station and the pipe network, and arranging pressure monitoring points at the outlet of the pump station, the secondary pressure transfer inlet/outlet, the characteristic points of the pipe network and the like. And the three-dimensional coordinate data (x, y, z) of the pressure monitoring points and the real-time pressure data p of the pressure monitoring equipment form dynamic four-dimensional data (x, y, z, p) of the monitoring points. The pressure conditions of the pressure pipe network at any other non-monitoring point positions are fitted through known monitoring points and geographic information data, the other non-monitoring point positions include but are not limited to any earth surface, a first building layer, a top building layer and other spatial positions, and then the whole-area pipe network and spatial pressure distribution are quantitatively and qualitatively and comprehensively displayed by means of a visual geographic information technology. By adopting the method, pressure data are acquired only by arranging pressure monitoring points at the outlet of the pump station, the secondary pressure transfer inlet and outlet, the characteristic points of the pipe network and the like, and the limitation that the current pressure measurement information can only be a discrete variable set in space is solved through geographic information acquisition and spatial data fitting. Under the limited condition of pressure monitoring point quantity, easily acquire regional interior pipe network pressure and the distribution information of spatial simulation pressure, the regional pressure situation of comprehensive reaction, further prevent that local pipe network pressure from too high leading to the pipe network pipe explosion promptly, prevent again that local pipe network pressure is not enough to cause and not have the phenomenon such as fluid medium is available, further guarantee to press the safe and stable operation of pipe network.
Example two
The embodiment of the invention also discloses a pipe network operation intelligent early warning analysis system based on geographic information, as shown in fig. 6, which comprises the following steps: the system comprises a basic information acquisition module 100, a data modeling module 200 and a detection early warning module 300;
the basic information acquisition module 100 is used for acquiring geographic information data of a pipe network area and data of a corresponding pipe network;
specifically, the basic information acquisition module 100 includes a basic data collection unit 101, a geographic information data collection unit 102, and a pipe network information data collection unit 103, where the basic data collection unit 101 is configured to collect original pipeline data, the geographic information data collection unit 102 is configured to obtain a large-scale topographic map of a pipe network area, and the pipe network information data collection unit 103 is configured to obtain pipe network element information.
The data modeling module 200 is used for establishing a pressure calculation model;
specifically, the data modeling module 200 includes a tile map generation unit 201, a grid point three-dimensional coordinate data (x, y, z) calculation unit, a pressure monitoring unit 203, and a monitoring point four-dimensional data (x, y, z, p) acquisition unit, the tile map generation unit 201 is configured to generate a tile map according to the large-scale topographic map acquired by the geographic information data acquisition unit 102, the grid point three-dimensional coordinate data (x, y, z) calculation unit is configured to generate a square grid according to the generated tile map according to a step pitch corresponding to a tile map level, obtain a fixed plane coordinate of each grid point, and obtain an elevation value of each grid point by a linear interpolation method, so as to obtain grid point three-dimensional coordinate data, the pressure monitoring unit 203 is configured to detect a pressure value p of a pressure monitoring point, the pressure monitoring unit 203 includes a pressure monitoring device, and the monitoring point four-dimensional data (x, y, z, p) acquisition unit is configured to acquire dynamic data (x, y, z, p) composed of the three-dimensional coordinate data (x, y, z) of the pressure monitoring point and the real-time dynamic pressure data p of the pressure monitoring device.
The detection early warning module 300 is used for early warning the operation of a pipe network;
specifically, the detection and early warning module 300 includes a grid point pressure value simulation unit 301, a region pressure distribution diagram generation unit 302, and a monitoring and early warning unit 303, where the grid point pressure value simulation unit 301 is configured to calculate a pressure value p of each grid point according to the grid point four-dimensional data (x, y, z, p) obtained by the monitoring point four-dimensional data (x, y, z, p) and the grid point three-dimensional coordinate data (x, y, z) obtained by the grid point four-dimensional data (x, y, z) calculation unit, obtain a pressure monitoring point with the nearest region distance, ignore pressure loss caused by the pipe network liquid flow and the pipe resistance, simplify the complex pipe network pressure adjustment, calculate a simulated pressure value of each grid point according to the relationship between the pipe network pressure and the height difference, form simulated pressure data, the region pressure distribution diagram generation unit 302 is configured to obtain a region pressure distribution diagram according to the simulated pressure data, the monitoring and early warning unit 303 is configured to set low-pressure warning information and high-pressure limit values of the pipe network according to the building conditions of the region of the pipe network and the pipe network region according to the region pressure distribution diagram, and send the monitoring and early warning information to a manager when the pipe network exceeds the limit values.
In the embodiment, the geographic information data of a pipe network and a corresponding area are collected by a geographic information data collection unit 102 to form a large-scale professional underground pipeline drawing, a grid point three-dimensional coordinate data calculation unit 202 generates grid point three-dimensional coordinate data (x, y, z) of a collection pipe network area according to the collected geographic information data of the pipe network area, the pipe network area is divided into a plurality of independent small areas according to a pump station and the trend of the pipe network, pressure monitoring points are arranged at the outlet of the pump station, the secondary pressure transfer inlet/outlet, pipe network characteristic points and the like, a pressure monitoring unit 203 is arranged at the pressure monitoring points, a monitoring point four-dimensional data collection unit 204 obtains the three-dimensional coordinate data (x, y, z) of the pressure monitoring points and the real-time dynamic pressure data p and the three-dimensional coordinate data (x, y, z) and real-time dynamic pressure data p of the pressure monitoring device in the pressure monitoring unit 203, to form dynamic monitoring point four-dimensional data (x, y, z, p), a grid point pressure value p simulation unit simulates the pressure data of one pressure monitoring point closest to the grid point pressure value p through the grid point pressure value p to obtain the pressure value p of each grid point of the grid point to obtain simulated pressure data, other positions without monitoring points include but are not limited to any ground surface, one layer of building, the top layer of building and other spatial positions, a regional pressure distribution diagram generation unit 302 quantitatively and qualitatively and comprehensively displays the whole regional pipe network and the spatial pressure distribution by means of visual geographic information technology according to the simulated pressure data, a monitoring and early warning unit 303 sets the low pressure and high pressure limit values of the water supply pipe network when the limit values are exceeded, the area corresponding to the pressure distribution map is highlighted and early warning information is sent out, and an administrator can perform the pressure reduction work aiming at the high-pressure area and the pressurization work aiming at the low-pressure area according to the pressure distribution map and the early warning information. By adopting the method, pressure data are acquired only by arranging pressure monitoring points at the outlet of the pump station, the secondary pressure transfer inlet and outlet, the characteristic points of the pipe network and the like, and the limitation that the current pressure measurement information can only be a discrete variable set in space is solved through geographic information acquisition and spatial data fitting. Under the limited condition of pressure monitoring point quantity, easily acquire regional interior pipe network pressure and the distribution information of spatial simulation pressure, the regional pressure situation of comprehensive reaction, further prevent that local pipe network pressure from too high leading to the pipe network pipe explosion promptly, prevent again that local pipe network pressure is not enough to cause and not have the phenomenon such as fluid medium is available, further guarantee to press the safe and stable operation of pipe network.
It should be understood that the specific order or hierarchy of steps in the processes disclosed is an example of exemplary approaches. Based upon design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not intended to be limited to the specific order or hierarchy presented.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. Of course, the processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".
Claims (3)
1. A pipe network operation intelligent early warning analysis method based on geographic information is characterized by comprising the following steps:
s1, collecting basic information, namely collecting geographic information data of a pipe network area and data of a corresponding pipe network;
wherein the step S1 includes:
s11, collecting basic data, and collecting original pipeline data;
s12, collecting geographic information data, namely collecting the geographic information data of the pipe network area according to the same scale under the same coordinate system to form a large-scale topographic map;
s13, collecting pipe network information data and pipe network attribute information, wherein the pipe network attribute information comprises pipe diameters, materials, burial depths, pipeline elements and pump rooms, and a professional underground pipeline diagram is formed;
s2, modeling data, and establishing a pressure calculation model;
wherein the step S2 includes:
s21, generating a tile map of a pipe network area, and generating the tile map according to the large-scale topographic map obtained in the step S12;
s22, generating grid point three-dimensional coordinate data, generating a square grid according to the tile map obtained in the step S21 and the corresponding step pitch of the tile map grade, obtaining fixed plane coordinates of each grid point, and obtaining elevation values of the grid points by combining geographic information through a straight line interpolation method;
s23, planning and distributing pressure monitoring points;
the step S23 includes:
s231, dividing a pipe network area into a plurality of independent small areas according to the pump station and the pipe network trend according to the professional underground pipeline diagram obtained in the step S13;
s232, setting pressure monitoring points in the area obtained in the step S231 by combining the pipe network characteristics, and installing pressure monitoring equipment;
s24, generating monitoring point four-dimensional data, and in the step S23, when pressure monitoring equipment is installed in the planning and laying process of the monitoring points, acquiring three-dimensional coordinate data of the pressure monitoring points, wherein the three-dimensional coordinate data of the pressure monitoring points and the real-time pressure data of the pressure monitoring equipment form dynamic monitoring point four-dimensional data;
s3, monitoring and early warning, and early warning the operation of the pipe network;
the step S3 includes:
s31, simulating grid point pressure values, calculating the pressure value of each grid point according to the monitoring point four-dimensional data obtained in the step S24 and the grid point three-dimensional coordinate data obtained in the step S22, taking the pressure monitoring point with the nearest regional distance, neglecting the pressure loss caused by the liquid flow and the pipeline resistance of the pipe network, simplifying the pressure adjustment difference of the complex pipe network, and fitting and calculating the simulated pressure value of each grid point according to the relation between the pipe network pressure and the height difference to form simulated pressure data;
in the step S31, when the building in the pipe network area has plane and elevation information, the pressure values of the building ± 0 floor and the top floor in the pipe network area can be obtained through fitting calculation according to the relationship between the pipe network pressure and the elevation difference;
s32, generating a regional pressure distribution diagram, and displaying the simulated pressure values of all the grid points in a grading manner by using the magnitude of the color depth reaction pressure values and combining a tile base map according to the simulated pressure data obtained in the step S31 and corresponding to different color blocks according to different pressure values;
s33, early warning, namely setting low-pressure and high-pressure limit values of the pipe network according to the combination of the regional pressure distribution map and the building conditions of the pipe network region and the pipe network region, highlighting the region corresponding to the pressure distribution map and sending early warning information when the limit values are exceeded, and carrying out pressure reduction work aiming at the high-pressure region and pressurization work aiming at the low-pressure region by an administrator according to the pressure distribution map and the early warning information;
the intelligent early warning analysis method for pipe network operation based on geographic information uses an intelligent early warning analysis system for pipe network operation based on geographic information, and the intelligent early warning analysis system for pipe network operation based on geographic information comprises the following steps: the system comprises a basic information acquisition module, a data modeling module and a detection early warning module;
the basic information acquisition module is used for acquiring geographic information data of a pipe network area and data of a corresponding pipe network;
the basic information acquisition module comprises a basic data collection unit, a geographic information data acquisition unit and a pipe network information data acquisition unit, wherein the basic data collection unit is used for collecting original pipeline data, the geographic information data acquisition unit is used for acquiring a large-scale topographic map of a pipe network area, and the pipe network information data acquisition unit is used for acquiring pipe network attribute information;
the data modeling module is used for establishing a pressure calculation model;
the data modeling module comprises a tile map generating unit, a grid point three-dimensional coordinate data calculating unit, a pressure monitoring unit and a monitoring point four-dimensional data collecting unit, wherein the tile map generating unit is used for generating a tile map according to a large-scale topographic map acquired by the geographic information data collecting unit, the grid point three-dimensional coordinate data calculating unit is used for generating a square grid according to the generated tile map according to the corresponding step pitch of the tile map to obtain the fixed plane coordinates of each grid point, the elevation values of the grid points are obtained by a linear interpolation method in combination with geographic information, the pressure monitoring unit is used for detecting the pressure values of the pressure monitoring points, the pressure monitoring unit comprises pressure monitoring equipment, and the monitoring point four-dimensional data collecting unit is used for collecting three-dimensional coordinate data of the pressure monitoring points and real-time pressure data of the pressure monitoring equipment to form dynamic monitoring point four-dimensional data;
the detection early warning module is used for early warning the operation of a pipe network;
the detection and early warning module comprises a grid point pressure value simulation unit, a regional pressure distribution diagram generation unit and a monitoring and early warning unit, wherein the grid point pressure value simulation unit is used for calculating the pressure value of each grid point according to monitoring point four-dimensional data obtained by the monitoring point four-dimensional data acquisition unit and grid point three-dimensional coordinate data obtained by the grid point three-dimensional coordinate data calculation unit, taking the pressure monitoring point with the nearest regional distance, neglecting pressure loss caused by the liquid flow and the pipeline resistance of a pipe network, simplifying the pressure adjustment of the complex pipe network, fitting and calculating the simulated pressure value of each grid point according to the relation between the pressure and the height difference of the pipe network to form simulated pressure data, the regional pressure distribution diagram generation unit is used for obtaining a regional pressure distribution diagram according to the simulated pressure data, the monitoring and early warning unit is used for setting the low pressure limit value and the high pressure limit value of the pipe network according to the building conditions of the regional pressure distribution diagram and the pipe network region, and sending warning information to an administrator when the low pressure limit value and the high pressure distribution diagram exceed the limit value.
2. A method as claimed in claim 1, wherein in step S11, the collected original pipeline data includes design data and completion data.
3. The intelligent early warning and analyzing method for pipe network operation based on geographic information as claimed in claim 2, wherein in step S232, the pressure monitoring points set in the area include pump station outlets, secondary pressure transfer inlets and outlets, and pipe network characteristic points.
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