CN117167671A - Pipe network operation monitoring control system based on big data - Google Patents
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Abstract
The invention discloses a pipe network operation monitoring control system based on big data, which belongs to the field of pipe network supervision systems and comprises a monitoring layout module, a monitoring module and a management module; the monitoring layout module is used for analyzing the pipe network to be monitored to obtain a plurality of monitoring points, corresponding online water quality monitoring equipment is arranged at the main monitoring points, and corresponding auxiliary equipment is arranged at the auxiliary monitoring points; the monitoring module is used for monitoring the pipe network in real time, and a display node corresponding to each online water quality monitoring device is arranged in the pipeline display model and used for displaying the monitoring data of each online water quality monitoring device; acquiring monitoring data of each online water quality monitoring device in real time, and inputting the monitoring data into a display node for real-time display; setting an evaluation unit, identifying a water quality monitoring area with a pipeline problem in real time through the evaluation unit, and marking the water quality monitoring area with the pipeline problem in a pipeline display model; the management module is used for managing pipe network maintenance.
Description
Technical Field
The invention belongs to the field of water supply pipe network supervision systems, and particularly relates to a pipe network operation monitoring control system based on big data.
Background
The construction of the water supply pipe network is an important aspect of urban infrastructure construction, and along with the development of socioeconomic development and the acceleration of urban process, the tasks of reconstruction and construction of the water supply pipe network are increased. And as cities develop and population grow, management of pipe network operations becomes more complex and huge. Traditional manual monitoring and control methods cannot meet the operation requirement of a pipe network. Especially for the problems of corrosion, aging and the like of pipelines, the problems can greatly influence the quality of the conveyed water, such as metal exceeding standard, water discoloration and the like; thus, there is a need for an intelligent, automated system for monitoring and controlling the operating conditions of a pipe network in real time. Based on the problems, the invention provides a pipe network operation monitoring control system based on big data.
Disclosure of Invention
In order to solve the problems of the scheme, the invention provides a pipe network operation monitoring control system based on big data.
The aim of the invention can be achieved by the following technical scheme:
a pipe network operation monitoring control system based on big data comprises a monitoring layout module, a monitoring module and a management module;
the monitoring layout module is used for analyzing a pipe network to be monitored to obtain a plurality of monitoring points, the monitoring points comprise main monitoring points and auxiliary monitoring points, corresponding online water quality monitoring equipment is arranged at the main monitoring points, and corresponding auxiliary equipment is arranged at the auxiliary monitoring points.
Further, the method for setting the monitoring point position comprises the following steps:
acquiring a pipe network information diagram, and setting a corresponding pipeline display model based on the pipe network information diagram;
carrying out pipeline partitioning according to the water flow direction in the pipeline display model to obtain a plurality of water quality monitoring areas, wherein the water quality monitoring areas are main monitoring points corresponding to the water quality monitoring areas;
and identifying each piece of pipeline information in the water quality monitoring area, and setting corresponding auxiliary monitoring points according to the pipeline information.
Further, the setting method of the water quality monitoring area and the main monitoring point comprises the following steps:
and establishing a corresponding area analysis model based on the CNN network or the DNN network, and analyzing the pipe network information graph through the area analysis model to obtain a corresponding water quality monitoring area and a main monitoring point.
Further, the method for setting the auxiliary monitoring point comprises the following steps:
determining each point to be selected in the water quality monitoring area according to the pipeline information;
setting a setting requirement of auxiliary monitoring points, and determining each auxiliary monitoring point according to the setting requirement and the position of each point to be selected.
Further, the setting method of the point to be selected comprises the following steps:
determining selected auxiliary equipment according to the pipeline information, and acquiring the installation requirement of the auxiliary equipment;
and determining each point to be selected in the water quality monitoring area according to the installation requirement.
The monitoring module is used for monitoring a pipe network in real time, a display node corresponding to each online water quality monitoring device is arranged in the pipeline display model, and the display node is used for displaying monitoring data of each online water quality monitoring device;
acquiring monitoring data of each online water quality monitoring device in real time, and inputting the monitoring data into the display node for real-time display;
and setting an evaluation unit, identifying the water quality monitoring area with the pipeline problem in real time through the evaluation unit, and marking the water quality monitoring area with the pipeline problem in the pipeline display model.
The management module is used for performing pipe network maintenance management, identifying the water quality monitoring area marked in the pipeline display model in real time, marking the water quality monitoring area as a problem area, determining the maintenance sequence of each pipeline in the problem area, and maintaining the corresponding pipeline according to the maintenance sequence.
Further, the method for determining the pipeline maintenance sequence comprises the following steps:
identifying pipeline problems corresponding to the problem areas, and acquiring pipeline information in the problem areas;
determining each pipeline to be analyzed based on the pipeline problems and the pipeline information;
acquiring auxiliary acquisition data corresponding to each pipeline to be analyzed, and setting corresponding auxiliary values according to the auxiliary acquisition data;
acquiring the use time length of the pipeline to be analyzed; calculating a priority value corresponding to the pipeline to be analyzed according to the auxiliary value and the using time length;
and sequencing the pipelines to be analyzed according to the order of the priority values from high to low to obtain a pipeline overhaul order.
Further, the method for calculating the priority value includes:
the auxiliary value and the time length of use are marked as FS and ST, respectively, according to the priority formula yvp=b1×fs+b2×c ST Calculating a corresponding priority value YVP, wherein b1 and b2 are both proportionality coefficients, and the value range is 0<b1≤1，0<b2 is less than or equal to 1, and c is a constant corresponding to the pipeline to be analyzed.
Further, the auxiliary value has a value range of [0, 100].
Further, the method for determining the constant c includes:
and establishing a pipeline constant matching table, acquiring pipeline information to be analyzed, including corresponding water quality information, and matching a corresponding constant c from the pipeline constant matching table according to the pipeline information to be analyzed.
Compared with the prior art, the invention has the beneficial effects that:
the intelligent monitoring and management of the pipe network are realized through the mutual coordination among the monitoring layout module, the monitoring module and the management module; by arranging the monitoring layout module, intelligent analysis of the existing pipe network is realized, a monitoring system of the existing pipe network is perfected, real-time monitoring of water quality in the pipe network is realized, monitoring cost is reduced by arranging auxiliary equipment, practicability is improved, comprehensive monitoring of corrosion and other conditions of the pipe network is realized, corresponding water quality monitoring can be realized, when the perfect on-line water quality monitoring equipment is arranged in the pipe network, corresponding modification can be realized based on the supplement of the corresponding auxiliary equipment, the multifunctional and real-time monitoring of the pipe network is realized, and the problem of high monitoring cost caused by comprehensive and accurate monitoring of the existing pipe network is solved. Through the setting of monitoring module, realize carrying out real-time supervision to the pipe network, in time discern the water quality monitoring area that has the pipeline problem.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic block diagram of the present invention;
FIG. 2 is a diagram showing an example of a water quality monitoring area according to the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1 to 2, a pipe network operation monitoring control system based on big data comprises a monitoring layout module, a monitoring module and a management module;
the monitoring layout module is used for analyzing a monitoring pipe network to obtain a plurality of monitoring points, the monitoring points comprise a main monitoring point and an auxiliary monitoring point, the main monitoring point is used for setting on-line water quality monitoring equipment and used for real-time monitoring of water quality at the position, and the auxiliary monitoring point is used for setting auxiliary equipment such as a resistivity meter, visual equipment and the like and used for subsequently assisting in determining the problems of pipeline corrosion and the like in the area; because the online water quality monitoring equipment has high cost, large-area and high-density arrangement does not meet economic benefit and does not have practicability, the online water quality monitoring equipment monitors the water quality in one water quality monitoring area by arranging a small number of online water quality monitoring equipment, and when judging that the water quality in the water quality monitoring area has problems, the corrosion priority of each pipeline in the water quality monitoring area is analyzed by combining the auxiliary equipment and the detailed data of each pipeline, so that the online water quality monitoring equipment is convenient for the overhaul of subsequent staff and realizes accurate monitoring under the relatively input cost.
The specific analysis process is as follows:
acquiring a pipe network information diagram, wherein the pipe network information diagram comprises position distribution, pipeline information and other data of each pipe network, and a corresponding pipeline display model is established according to the pipeline information diagram based on the current display modeling technology, and can be a three-dimensional model, a two-dimensional model and other display models according to requirements;
carrying out pipeline partitioning according to the water flow direction in the pipeline display model to obtain a plurality of water quality monitoring areas, and setting main monitoring points corresponding to the water quality monitoring areas; identifying the information of each pipeline in the water quality monitoring area, and setting corresponding auxiliary monitoring points for each pipeline according to the pipeline information; and setting corresponding on-line water quality monitoring equipment and auxiliary equipment according to each main monitoring point and auxiliary monitoring point.
In one embodiment, the water quality monitoring areas and the main monitoring points can be set directly in a manual mode, because the number of the water quality monitoring areas to be set is small, the setting cost is lower in a manual mode, and the corresponding main monitoring point positions can be directly determined synchronously.
In another implementation, each water quality monitoring area and the main monitoring point are determined by intelligent analysis, and the method comprises the following steps:
setting a pipeline combination standard and a water quality monitoring area limiting condition, wherein the pipeline combination standard is set according to a pipeline connection mode and monitoring requirements, the ideal monitoring requirements are shown in a figure 2, 4L 1 pipelines, L2 pipelines and L3 pipelines form a water quality monitoring area, a main monitoring point is arranged in the L3 pipelines, and water quality monitoring is carried out on the water quality monitoring area formed by the 4L 1 pipelines, the L2 pipelines and the L3 pipelines, and then the like; the water quality monitoring area limiting condition refers to the maximum area of the water quality monitoring area and the upper limit of the number of included pipelines; the core is that the water quality monitoring can be carried out on a closed area through the on-line water quality monitoring equipment as much as possible, so that the interference caused by other pipeline water bodies is reduced; in the practical application process, because the pipeline distribution in different areas has certain difference, but the difference is not very large, the conventional various pipeline information diagrams can be summarized, the water quality monitoring area and the main monitoring point are marked in a manual mode, a training set consisting of material samples and manual labeling samples is formed, a corresponding area analysis model is built based on a CNN (computer numerical network) or a DNN (digital network) and the like, training is carried out through the built training set, and analysis is carried out through the area analysis model after the training is successful, so that the corresponding water quality monitoring area and the main monitoring point are obtained; because neural networks are prior art in the art, the specific setup and training process is not described in detail in this disclosure.
The method for setting the corresponding auxiliary monitoring points for each pipeline according to the pipeline information comprises the following steps:
determining that each point to be selected exists in the water quality monitoring area according to the pipeline information, wherein the point to be selected refers to a position meeting the requirement of setting auxiliary equipment, such as the joint of each pipeline, determining what auxiliary equipment is needed to be set for the pipeline in the area according to the pipeline information, such as determining which auxiliary equipment is in line according to the pipeline material, the pipeline size and the like, screening according to the input cost, selecting the auxiliary equipment with the lowest cost or presetting the priority of the auxiliary equipment for selection, and presetting the priority of each auxiliary equipment because the auxiliary equipment is fixed, and directly selecting the auxiliary equipment subsequently; determining each point to be selected in the water quality monitoring area according to the installation requirement of the selected auxiliary equipment;
setting requirements of auxiliary monitoring points, wherein the setting requirements aim at span requirements among the auxiliary monitoring points, such as shortest distance and longest distance, so as to form setting requirements; a section of pipeline corresponds to an auxiliary monitoring point, and if the pipeline is too long, the auxiliary monitoring point can be additionally arranged at the joint of the middle pipeline; and specifically, setting corresponding setting requirements according to actual conditions, and determining each auxiliary monitoring point according to the setting requirements and the positions of each point to be selected.
By arranging the monitoring layout module, intelligent analysis of the existing pipe network is realized, a monitoring system of the existing pipe network is perfected, real-time monitoring of water quality in the pipe network is realized, monitoring cost is reduced by arranging auxiliary equipment, practicability is improved, comprehensive monitoring of corrosion and other conditions of the pipe network is realized, corresponding water quality monitoring can be realized, when the perfect on-line water quality monitoring equipment is arranged in the pipe network, corresponding modification can be realized based on the supplement of the corresponding auxiliary equipment, the multifunctional and real-time monitoring of the pipe network is realized, and the problem of high monitoring cost caused by comprehensive and accurate monitoring of the existing pipe network is solved.
The monitoring module is used for monitoring the pipe network in real time, and the specific process is as follows:
inserting display nodes of all the online water quality monitoring devices into corresponding positions in the pipeline display model, wherein the display nodes are used for displaying monitoring data of the corresponding online water quality monitoring devices;
acquiring monitoring data of each online water quality monitoring device in real time, and inputting the acquired monitoring data into a corresponding display node in a pipeline display model for real-time display;
the evaluation unit is used for evaluating the monitoring data displayed by each display node in real time and judging whether the monitoring data has the phenomena of corrosion and aging of the pipeline or not, and the like, because when the pipeline is corroded and aged, the water quality is affected, for example, metal materials are dissolved due to pipeline corrosion, and metal ions such as iron, copper, lead and the like can be released into the water; these metal ions may change the preference of water, such as taste, color, smell, etc.; corrosion and aging in pipelines can lead to the release of heavy metals, such as lead, cadmium, mercury, etc., which are harmful to human health and can cause chronic poisoning and other health problems; corroded and aged pipe surfaces can form scale and delamination, which provides a growing substrate for microbial attachment; these microorganisms can produce colloidal substances, resulting in an increase in the number of microorganisms in the water, possibly including algae, bacteria, fungi, etc.; pipeline corrosion can lead to dissolution and release of nutrients in pipeline materials, such as nitrogen, phosphorus and the like, which can promote microorganism growth, and lead to problems of short service life, rancid taste and the like of water; evaluating by monitoring the water quality change condition in the data, and judging whether the problems of ageing, corrosion and the like of the pipeline occur or not;
and identifying the water quality monitoring area with the pipeline problem in real time through the evaluation unit, and marking the water quality monitoring area with the pipeline problem in the pipeline display model.
The working method of the evaluation unit comprises the following steps:
according to the water quality change conditions possibly caused by ageing and corrosion of the pipeline, summarizing and establishing a corresponding water quality problem library, and storing pipeline problems corresponding to various water quality changes as reference data;
identifying monitoring data of each display node in real time, comparing the obtained monitoring data with each parameter data in the water problem library, and identifying corresponding pipeline problems; and marking the water quality monitoring area with the pipeline problem in the pipeline display model.
Through the setting of monitoring module, realize carrying out real-time supervision to the pipe network, in time discern the water quality monitoring area that has the pipeline problem.
The management module is used for performing pipe network maintenance management, identifying a water quality monitoring area marked in the pipeline display model in real time, marking the water quality monitoring area as a problem area, determining the maintenance sequence of each pipeline in the problem area, and maintaining the corresponding pipeline according to the obtained maintenance sequence.
The method for determining the pipeline overhaul sequence comprises the following steps:
identifying pipeline problems corresponding to the problem areas, acquiring pipeline information in the problem areas, and determining corresponding pipelines to be analyzed according to the acquired pipeline problems and the pipeline information; the pipeline to be analyzed is a pipeline possibly having a corresponding pipeline problem, each pipeline is screened according to the specific pipeline problem, the pipeline possibly having the pipeline problem is obtained, the pipeline to be analyzed is regarded as the pipeline to be analyzed, such as the pipeline metal corrosion problem, and the pipeline to be analyzed is determined according to the pipeline which corresponds to the pipeline information and can be corroded by the pipeline metal;
acquiring the corresponding use time length of each pipeline to be analyzed; the unit is year; according to the material matching corresponding constant c of each pipeline to be analyzed, the constant c is inconsistent because different pipelines have different corrosion conditions, such as cast iron pipelines: can be used for more than 50 years generally, and has relatively long service life; galvanized steel pipe: the galvanized steel pipe can be used for more than 30 years under proper conditions; stainless steel pipeline: stainless steel pipelines have good corrosion resistance and can be used for more than 50 years generally; the setting is performed by an expert group in a discussion way, and the setting is typically adjusted according to practical conditions, such as different influences of water quality and the like, by way of example, a 50-year constant c=1.096 and a 30-year constant c=1.165; the matching may be performed by an expert group setting a corresponding constant c matching table.
Acquiring auxiliary acquisition data of auxiliary equipment corresponding to each pipeline to be analyzed, and acquiring corresponding auxiliary values according to the acquired auxiliary acquisition data; the auxiliary value is set according to the corresponding auxiliary acquisition data, and the higher the auxiliary value is, for example, the higher the pipeline has a pipeline problem, such as the water body in the pipeline is dyed, the upstream is not dyed, or the water body in the pipeline is dyed, the upstream is also dyed, the auxiliary value of the upstream pipeline is larger than the auxiliary value of the pipeline, but the same high auxiliary value of the pipeline is equivalent to the higher the pipeline auxiliary acquisition data indicates that the pipeline has a problem, and the larger the auxiliary value is; corresponding auxiliary values can be set according to various possible phenomena, the possible detection results of corresponding auxiliary equipment are combined for setting, matching is carried out subsequently, a corresponding auxiliary analysis model can be established based on a CNN network or a DNN network, a corresponding training set is established in a manual mode for training, corresponding auxiliary acquired data is analyzed through the auxiliary analysis model after the training is successful, and the corresponding auxiliary values are obtained; the auxiliary value is in the range of 0, 100;
the obtained auxiliary value and the use time length are marked as FS and ST respectively,according to the priority formula yvp=b1×fs+b2×c ST Calculating a corresponding priority value YVP, wherein b1 and b2 are both proportionality coefficients, and the value range is 0<b1≤1，0<b2 is less than or equal to 1, and sequencing the pipelines to be analyzed according to the sequence from the high priority value to the low priority value to obtain the pipeline maintenance sequence.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (9)
1. The pipe network operation monitoring control system based on big data is characterized by comprising a monitoring layout module, a monitoring module and a management module;
the monitoring layout module is used for analyzing a pipe network to be monitored to obtain a plurality of monitoring points, the monitoring points comprise main monitoring points and auxiliary monitoring points, corresponding online water quality monitoring equipment is arranged at the main monitoring points, and corresponding auxiliary equipment is arranged at the auxiliary monitoring points;
the monitoring module is used for monitoring a pipe network in real time, a display node corresponding to each online water quality monitoring device is arranged in the pipeline display model, and the display node is used for displaying monitoring data of each online water quality monitoring device;
acquiring monitoring data of each online water quality monitoring device in real time, and inputting the monitoring data into the display node for real-time display;
setting an evaluation unit, identifying a water quality monitoring area with a pipeline problem in real time through the evaluation unit, and marking the water quality monitoring area with the pipeline problem in the pipeline display model;
the management module is used for performing pipe network maintenance management, identifying the water quality monitoring area marked in the pipeline display model in real time, marking the water quality monitoring area as a problem area, determining the maintenance sequence of each pipeline in the problem area, and maintaining the corresponding pipeline according to the maintenance sequence.
2. The pipe network operation monitoring control system based on big data according to claim 1, wherein the method for setting the monitoring point position comprises the following steps:
acquiring a pipe network information diagram, and setting a corresponding pipeline display model based on the pipe network information diagram;
carrying out pipeline partitioning according to the water flow direction in the pipeline display model to obtain a plurality of water quality monitoring areas, wherein the water quality monitoring areas are main monitoring points corresponding to the water quality monitoring areas;
and identifying each piece of pipeline information in the water quality monitoring area, and setting corresponding auxiliary monitoring points according to the pipeline information.
3. The pipe network operation monitoring control system based on big data according to claim 2, wherein the method for setting the water quality monitoring area and the main monitoring point comprises the following steps:
and establishing a corresponding area analysis model based on the CNN network or the DNN network, and analyzing the pipe network information graph through the area analysis model to obtain a corresponding water quality monitoring area and a main monitoring point.
4. The pipe network operation monitoring control system based on big data according to claim 2, wherein the method for setting the auxiliary monitoring point comprises the following steps:
determining each point to be selected in the water quality monitoring area according to the pipeline information;
setting a setting requirement of auxiliary monitoring points, and determining each auxiliary monitoring point according to the setting requirement and the position of each point to be selected.
5. The big data-based pipe network operation monitoring control system according to claim 4, wherein the method for setting the point to be selected comprises the following steps:
determining selected auxiliary equipment according to the pipeline information, and acquiring the installation requirement of the auxiliary equipment;
and determining each point to be selected in the water quality monitoring area according to the installation requirement.
6. The big data based pipe network operation monitoring control system according to claim 1, wherein the method for determining the pipe overhaul sequence comprises the following steps:
identifying pipeline problems corresponding to the problem areas, and acquiring pipeline information in the problem areas;
determining each pipeline to be analyzed based on the pipeline problems and the pipeline information;
acquiring auxiliary acquisition data corresponding to each pipeline to be analyzed, and setting corresponding auxiliary values according to the auxiliary acquisition data;
acquiring the use time length of the pipeline to be analyzed; calculating a priority value corresponding to the pipeline to be analyzed according to the auxiliary value and the using time length;
and sequencing the pipelines to be analyzed according to the order of the priority values from high to low to obtain a pipeline overhaul order.
7. The big data based pipe network operation monitoring control system according to claim 6, wherein the calculating method of the priority value comprises:
the auxiliary value and the time length of use are marked as FS and ST, respectively, according to the priority formula yvp=b1×fs+b2×c ST Calculating a corresponding priority value YVP, wherein b1 and b2 are both proportionality coefficients, and the value range is 0<b1≤1，0<b2 is less than or equal to 1, and c is a constant corresponding to the pipeline to be analyzed.
8. The big data based pipe network operation monitoring control system of claim 6, wherein the auxiliary value has a value range of [0, 100].
9. The big data based pipe network operation monitoring control system of claim 7, wherein the method for determining the constant c comprises:
and establishing a pipeline constant matching table, acquiring pipeline information to be analyzed, and matching a corresponding constant c from the pipeline constant matching table according to the pipeline information to be analyzed.
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| CN117906070A (en) * | 2024-03-18 | 2024-04-19 | 深圳市科荣软件股份有限公司 | Pressure regulating method and pressure regulating system of water supply network |
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