CN117072887A - Sewage pipeline monitoring system - Google Patents
Sewage pipeline monitoring system Download PDFInfo
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- CN117072887A CN117072887A CN202311052603.1A CN202311052603A CN117072887A CN 117072887 A CN117072887 A CN 117072887A CN 202311052603 A CN202311052603 A CN 202311052603A CN 117072887 A CN117072887 A CN 117072887A
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D1/00—Pipe-line systems
- F17D1/08—Pipe-line systems for liquids or viscous products
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D3/00—Arrangements for supervising or controlling working operations
- F17D3/01—Arrangements for supervising or controlling working operations for controlling, signalling, or supervising the conveyance of a product
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
- F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
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Abstract
The application discloses a sewage pipeline monitoring system, which can monitor tiny leakage in a sewage pipeline in real time by monitoring tiny leakage electric signals in the surrounding environment of the pipeline in real time because leakage substances react with electrolyte in water to generate tiny current signals when the pipeline is tiny leaked, so that leakage problems can be detected and repaired early, potential environmental pollution and safety risks are avoided, and the tiny leakage problems in the pipeline can be monitored accurately in real time, so that the potential environmental pollution and the potential safety risks are found and solved in time. Secondly, the system has no interference to the operation of the sewage pipeline, and the leakage monitoring is completed without affecting the production. In addition, the embodiment can be combined with a data acquisition and analysis system to realize remote monitoring and early warning, and the efficiency and accuracy of leakage detection are improved.
Description
Technical Field
The application relates to the technical field of sewage pipeline monitoring, in particular to a sewage pipeline monitoring system.
Background
Currently, the problem of leakage from sewer lines is becoming more and more pronounced in the process of urbanization. The traditional leakage detection method needs manual inspection or off-line monitoring, has low working efficiency and is easy to cause delay. Therefore, a method capable of monitoring the minute leakage of the pipeline on line in real time is urgently needed.
Disclosure of Invention
The application provides a sewage pipeline monitoring system, which aims to solve the problems that in the prior art, a leakage detection method needs manual inspection or off-line monitoring, the working efficiency is low and delay is easy to cause.
In a first aspect, the application provides a sewage pipeline monitoring system, which comprises an electric signal transmitting module, an electric signal collecting and processing module, a lower computer, a data remote transmission module and an Internet of things cloud platform;
the electric signal transmitting module is used for transmitting electric signals with preset frequency and intensity to the sewage pipeline;
the electric signal acquisition processing module is used for receiving the electric signal returned by the sewage pipeline and pipeline parameters of the sewage pipeline;
the lower computer is used for sending the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline to the data remote transmission module;
the data remote transmission module is used for transmitting the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline to the Internet of things cloud platform;
the internet of things cloud platform is used for judging whether the sewage pipeline has leakage or not according to the electric signals returned by the sewage pipeline; and if the sewage pipeline has a leakage condition, determining an abnormality reason and an abnormality treatment strategy of the sewage pipeline according to pipeline parameters of the sewage pipeline.
Optionally, the setting positions of the electric signal transmitting module and the electric signal collecting and processing module are determined according to the pipeline structure and layout mode of the sewage pipeline.
Optionally, the cloud platform of the internet of things is specifically configured to determine whether a leakage condition exists in the sewage pipeline based on an electrical signal returned by the sewage pipeline by using preset leakage source type data or a preset leakage identification model; if the sewage pipeline has leakage, determining an abnormality reason and an abnormality processing strategy of the sewage pipeline based on pipeline parameters of the sewage pipeline by using preset leakage source type data or a preset leakage identification model.
Optionally, the electric signal collecting and processing module is used for receiving pipeline parameters of the sewage pipeline, which are collected by a sensor arranged in the sewage pipeline.
Optionally, the internet of things cloud platform stores map data corresponding to the sewage pipeline; the internet of things cloud platform is further used for determining pipeline positions where leakage occurs by utilizing the map data and pipeline parameters of the sewage pipeline.
Optionally, the cloud platform of the internet of things is further configured to: if the sewage pipeline has a leakage condition, alarming and reminding are carried out; carrying out statistical analysis on the alarm reminding data and providing alarm statistical information; recording alarm processing process and analyzing alarm processing result.
Optionally, the cloud platform of the internet of things is further configured to: displaying the pipeline state and leakage source information of the sewage pipeline; providing a query function of a history alarm record; and the device is connected with other equipment, and sends alarm prompt information to the other equipment.
Optionally, the communication connection mode between the electric signal transmitting module, the electric signal collecting and processing module, the lower computer, the data remote transmission module and the internet of things cloud platform comprises the following one of: wi-Fi, bluetooth, zigbee, loRaWAN.
Optionally, the communication protocol between the electric signal transmitting module, the electric signal collecting and processing module, the lower computer, the data remote transmission module and the internet of things cloud platform includes at least one of the following: TCP/IP, MQTT, HTTPS.
Optionally, the cloud platform of the internet of things is further configured to: displaying the abnormality cause of the sewage pipeline, an abnormality treatment strategy and pipeline parameters of the sewage pipeline in a visual form; wherein the visualization form comprises at least one of the following: charts and tables.
According to the technical scheme, the application provides a sewage pipeline monitoring system which comprises an electric signal transmitting module, an electric signal collecting and processing module, a lower computer, a data remote transmission module and an Internet of things cloud platform; the electric signal transmitting module is used for transmitting electric signals with preset frequency and intensity to the sewage pipeline; the electric signal acquisition processing module is used for receiving the electric signal returned by the sewage pipeline and pipeline parameters of the sewage pipeline; the lower computer is used for sending the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline to the data remote transmission module; the data remote transmission module is used for transmitting the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline to the Internet of things cloud platform; the internet of things cloud platform is used for judging whether the sewage pipeline has leakage or not according to the electric signals returned by the sewage pipeline; and if the sewage pipeline has a leakage condition, determining an abnormality reason and an abnormality treatment strategy of the sewage pipeline according to pipeline parameters of the sewage pipeline. When the pipeline is in micro leakage, leakage substances react with electrolyte in water to generate a weak current signal, and in the embodiment, the micro leakage in the sewage pipeline can be monitored accurately in real time by monitoring the weak leakage electric signal in the surrounding environment of the pipeline, so that the leakage problem can be perceived and repaired early, potential environmental pollution and safety risk are avoided, and the micro leakage problem in the pipeline can be monitored accurately in real time, so that the potential environmental pollution and safety risk can be found and solved in time. Secondly, the system has no interference to the operation of the sewage pipeline, and the leakage monitoring is completed without affecting the production. In addition, the embodiment can be combined with a data acquisition and analysis system to realize remote monitoring and early warning, and the efficiency and accuracy of leakage detection are improved.
Further effects of the above-described non-conventional preferred embodiments will be described below in connection with the detailed description.
Drawings
In order to more clearly illustrate the embodiments of the application or the prior art solutions, the drawings which are used in the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the description below are only some of the embodiments described in the present application, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a schematic system architecture diagram of a sewage pipeline monitoring system according to an embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The existing leakage detection method needs manual inspection or off-line monitoring, has low working efficiency and is easy to cause delay. Therefore, a method capable of monitoring the minute leakage of the pipeline on line in real time is urgently needed.
Various non-limiting embodiments of the present application are described in detail below with reference to the attached drawing figures.
Referring to fig. 1, a sewage pipeline monitoring system in an embodiment of the application is shown, and the system comprises an electric signal transmitting module, an electric signal collecting and processing module, a lower computer, a data remote transmission module and an internet of things cloud platform.
In this embodiment, the communication connection manner between the electric signal transmitting module, the electric signal collecting and processing module, the lower computer, the data remote transmission module and the internet of things cloud platform includes one of the following: wi-Fi, bluetooth, zigbee, loRaWAN. It can be understood that the specific configuration and arrangement of the communication connection modes among the electric signal transmitting module, the electric signal collecting and processing module, the lower computer, the data remote transmission module and the internet of things cloud platform in the sewage pipeline monitoring system can be selected according to actual requirements, and the specific implementation mode is not limited, which means that when the system is implemented, a proper communication connection mode can be selected according to specific requirements and conditions, and the following different types of wireless communication technologies can be adopted, such as Wi-Fi, bluetooth, zigbee, loRaWAN and the like; the specific choice depends on the communication distance requirements of the system, the transmission rate, the power consumption and other factors.
In addition, the communication protocol among the electric signal transmitting module, the electric signal collecting and processing module, the lower computer, the data remote transmission module and the internet of things cloud platform comprises at least one of the following: TCP/IP, MQTT, HTTPS. It will be appreciated that appropriate communication protocols and encryption techniques, such as TCP/IP, MQTT, HTTPS, etc., may be selected based on the communication protocol requirements and data security requirements of the system. It should be noted that the above are only some possible choices, and the constitution and configuration of the communication protocol of a specific system should be determined according to the actual requirements, technical conditions and other limitation factors of the system. In the implementation process, the scheme design and selection can be carried out according to specific situations.
The electric signal transmitting module is used for transmitting electric signals with preset frequency and intensity to the sewage pipeline. The electric signal acquisition and processing module is used for receiving the electric signal returned by the sewage pipeline and pipeline parameters of the sewage pipeline. That is, the present embodiment may transmit an electrical signal of a specific frequency and intensity to the sewage pipeline through the electrical signal transmitting module, and receive and process the returned electrical signal by using the electrical signal collecting and processing module.
The setting positions of the electric signal transmitting module and the electric signal collecting and processing module are determined according to the pipeline structure and layout mode of the sewage pipeline. The setting positions of the electric signal transmitting module and the electric signal collecting and processing module can reasonably set the positions of the signal transmitter and the signal receiver according to the pipeline structure and the layout so as to ensure the stability and the coverage range of signal transmission.
The electric signal acquisition and processing module is used for receiving pipeline parameters of the sewage pipeline acquired by a sensor arranged in the sewage pipeline. It should be noted that in this embodiment, the sensor may be disposed in the sewage pipeline to collect the pipeline parameters along the pipeline in real time, so as to monitor the state and leakage condition of the pipeline. The sensor interfaces can be selected according to the type and the number of the sensors required by the system, and common sensor interfaces comprise analog input, digital input, serial interface and the like. An appropriate processor or microcontroller may be selected to provide sufficient computing power and data processing power, depending on the real-time requirements of the system and the data processing complexity.
It should be noted that in one implementation, a series of sensors, including a leakage sensor and a leakage sensor, may be disposed in a municipal sewage treatment plant to collect leakage data and leakage conditions along a sewage treatment pipeline in real time. In addition, each area of the sewage treatment field is inspected periodically by a manual inspection mode, and the data of the field leakage source are collected. In particular, a sensing electrode may be arranged in the sewer line: and the sensing electrodes are arranged on the surface of the sewage pipeline, so that the electrodes are ensured to be in close contact with the pipeline. The current detection mode is to monitor weak current signals in the surrounding environment of the pipeline in real time by connecting the electrodes with current detection equipment.
That is, first, an electrical micro-leakage sensor needs to be installed at a proper position of the sewage line. The sensors are typically mounted around the pipe or embedded in the pipe wall. The specific sensor type and location will be selected and determined based on actual needs.
In addition, the sensor may be connected to a suitable power source to provide power to ensure that the sensor is functioning properly. This may require access to the grid for power or use of a portable power source such as a battery.
The sensor in the sewage pipeline can be connected with the electric signal acquisition and processing module in the system so as to realize real-time data transmission and monitoring. The sensor in the sewage pipeline and the electric signal acquisition processing module in the system can perform signal transmission in a wired or wireless mode, such as Ethernet, wiFi, bluetooth and the like.
It should be emphasized that in this embodiment, system parameters may be configured and calibration of the sensor may be performed according to requirements of the sewer line detection system and the sensor, including setting a monitoring threshold, adjusting sensitivity, and collecting data frequency.
The field leakage source data can be collected through manual investigation. Specifically, the data of the on-site leakage source can be collected in a manual investigation mode so as to supplement the data collected by the sensor and improve the identification accuracy of the leakage source.
And the lower computer is used for sending the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline to the data remote transmission module.
And the data remote transmission module is used for transmitting the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline to the Internet of things cloud platform.
The internet of things cloud platform is used for judging whether the sewage pipeline has leakage or not according to the electric signals returned by the sewage pipeline; and if the sewage pipeline has a leakage condition, determining an abnormality reason and an abnormality treatment strategy of the sewage pipeline according to pipeline parameters of the sewage pipeline. It should be noted that, when a small leakage occurs in the sewage pipeline, the leaked substance reacts with the electrolyte in the water to generate a weak current signal, so in this embodiment, whether the leakage condition exists in the sewage pipeline is determined by monitoring the weak leakage electric signal in the environment around the pipeline in real time.
Specifically, the cloud platform of the internet of things can judge whether the sewage pipeline has leakage or not based on an electric signal returned by the sewage pipeline by using preset leakage source type data or a preset leakage identification model; if the sewage pipeline has leakage, determining an abnormality reason and an abnormality processing strategy of the sewage pipeline based on pipeline parameters of the sewage pipeline by using preset leakage source type data or a preset leakage identification model. Wherein the pipeline parameters may include at least one of: the change condition of various indexes such as temperature, pressure, flow and the like in the pipeline. The corresponding measurement rules or models can be formulated according to the actual monitoring data (namely, the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline), and the monitoring signals (namely, the electric signals returned by the sewage pipeline) are analyzed and evaluated to judge whether the pipeline has tiny leakage or not. That is, the internet of things cloud platform can perform data collection and analysis, namely, after the electric signal data is transmitted to the internet of things cloud platform, the internet of things cloud platform can perform real-time analysis and comparison on the electric signal by adopting an algorithm and a model so as to determine whether the leakage problem exists.
The preset leakage source type data can be understood to be data and processing strategies when leakage occurs in the historical sewage pipeline, so that when the leakage condition of the sewage pipeline is detected according to the electric signals returned by the sewage pipeline, the pipeline parameters of the water pipeline can be utilized to inquire the abnormality reason and the abnormality processing strategies of the sewage pipeline from the leakage source type data. The leakage source type data may include real-time data sources and leakage source data, in particular: the real-time data is to sort the leakage data (namely the electric signal returned by the sewage pipeline and the pipeline parameter of the sewage pipeline) collected in real time into a real-time database, so as to provide a basis for subsequent data processing and analysis, namely, the leakage data collected by the sensor is stored in the real-time database for subsequent processing and analysis; the leakage source data is a leakage source type database established according to the identification result of the leakage source, so that analysis and processing of different types of leakage sources are facilitated, namely, the leakage source type database is established according to the data acquired and manually checked by the sensor, and the characteristics and rules of the different types of leakage sources are included.
The preset leakage identification model can be a neural network model or a data model, and is used for modeling and identifying different types of leakage sources. Thus, after the electric signal returned by the sewage pipeline and the pipeline parameters of the sewage pipeline are acquired, the leakage identification model can be utilized to judge whether the sewage pipeline has leakage or not. And, cause of the abnormality of the sewage line and abnormality handling policy. As one example, a data model of the support system may be built based on the built database data (i.e., the leakage source type data). The following types of models may be specifically included: the map model can establish a geographic position model according to map data and provide functions of image map display, alarm positioning and the like; the real-time data processing model can perform image display, accurate positioning, data real-time display, alarm parameter setting, leakage source type identification, alarm strategy and other processes according to the real-time leakage data; the leakage source type model can comprehensively utilize the leakage data and the leakage source type data to establish the leakage source type model, comprises models of manual excavation, mechanical construction, vehicle passing, continuous interference, fiber breakage alarm and the like, and can be used for identifying and early warning the leakage source according to the models.
In one implementation manner, the internet of things cloud platform stores map data corresponding to the sewage pipeline; the internet of things cloud platform is further used for determining pipeline positions where leakage occurs by utilizing the map data and pipeline parameters of the sewage pipeline. The cloud platform of the Internet of things can provide map display and positioning services, and a user can know the position information of the pipeline and the leakage source conveniently. In particular, the map data may include impact map data of the pipeline perimeter such that by collecting and organizing the impact map data of the pipeline perimeter, the map data may be made to include underground facilities, environmental factors, etc. to provide more comprehensive pipeline monitoring information. Map data may organize the collected impact map data into a spatial database for geographic location localization and analysis. The cloud platform of the Internet of things can acquire information from resources such as an underground piping diagram, an equipment distribution diagram and the like, establish a geographic position database and provide space reference and positioning.
Optionally, the cloud platform of the internet of things is further configured to: if the sewage pipeline has a leakage condition, alarming and reminding are carried out; carrying out statistical analysis on the alarm reminding data and providing alarm statistical information; recording alarm processing process and analyzing alarm processing result. The cloud platform of the Internet of things can realize early warning and alarming, and particularly, when a system detects that a pipeline is slightly leaked, an early warning and alarming mechanism is triggered so as to take repairing measures in time. An alarm alert is understood to mean a message for sending an alarm to the relevant personnel in time in order to take corrective action in time. The alarm statistics information can be understood as statistics analysis of collected alarm data, and provide statistics information such as alarm times, alarm types and the like. Recording the alarm processing process and analyzing the alarm processing result can be understood as the alarm processing process, namely the internet of things cloud platform provides the alarm processing function, including recording the processing process, analyzing the processing result and the like. That is, the internet of things cloud platform may provide various services including map services, alarm statistics, alarm alerts, alarm processing, and the like. Map service: based on the map model, the display and positioning service of the pipeline and the leakage source position is provided, so that an operator can intuitively know the pipeline layout and the leakage source condition. Alarm statistics: and carrying out statistical analysis on the real-time data and the leakage source type, and counting information such as alarm times, alarm types and the like, thereby providing reference for further processing. Alarming and reminding: once a leakage source is detected, an alarm signal is triggered immediately and an alarm notification is sent to related personnel so as to take corrective action in time. Alarm processing: and recording the alarm processing process, and analyzing and evaluating the alarm processing process to improve the overall monitoring and processing efficiency. It should be noted that, the cloud platform of the internet of things can set a suitable alarm threshold, when detecting tiny leakage, trigger an alarm and carry out corresponding notification, and alarm reminding can be carried out in modes of sound, light, short message, email and the like.
The cloud platform of the internet of things is further used for: displaying the pipeline state and leakage source information of the sewage pipeline; providing a query function of a history alarm record; and the device is connected with other equipment, and sends alarm prompt information to the other equipment. Specifically, the internet of things cloud platform can realize client real-time monitoring, namely the internet of things cloud platform provides a real-time monitoring function, and the pipeline state and leakage source information of the sewage pipeline are displayed, so that a user can know the running condition of the system at any time conveniently. The cloud platform of the Internet of things can realize the statistical query of the alarm history, namely provides the query function of the history alarm record, and is convenient for users to check, analyze and process the history alarm data. The internet of things cloud platform can realize linkage camera equipment, short message sending equipment and the like, namely the internet of things cloud platform can realize linkage with other equipment, and provides more comprehensive monitoring and warning functions. That is, the cloud platform of the internet of things can provide comprehensive functions and services for operators based on building various application systems, and specifically comprises: the client monitors in real time, namely, the state, leakage data and leakage source information of the sewage treatment pipeline are displayed in real time through the client, so that an operator can know the running condition of the system at any time; the alarm history statistics inquiry, namely the inquiry function for providing the history alarm record, can be checked, analyzed and processed by an operator to improve preventive measures and maintenance work; linkage camera equipment, SMS sending equipment etc. are linked with current camera equipment, SMS sending equipment etc. promptly, further promote monitoring and warning function's comprehensiveness and timeliness. Therefore, the system can monitor and early warn the leakage condition of the pipeline in real time and accurately in the urban sewage treatment plant by the on-line monitoring system, and timely take repairing measures to protect the environment and personnel safety.
In some embodiments, the internet of things cloud platform is further configured to: displaying the abnormality cause of the sewage pipeline, an abnormality treatment strategy and pipeline parameters of the sewage pipeline in a visual form; wherein the visualization form comprises at least one of the following: charts and tables. Like this, thing networking cloud platform provides real-time monitoring data's storage, analysis and show, and the user of being convenient for looks over and manages. It can be understood that the cloud platform of the internet of things can process and analyze the data acquired by the sensor through the monitoring system so as to judge whether the micro leakage condition exists, and the data processing result can be displayed to the user in a graphic, digital or alarm form.
In summary, the cloud platform of the internet of things plays a key role, and provides storage, analysis and display of real-time monitoring data, so that a user can conveniently view and manage the data. The following are some key functions and features:
1. storing real-time monitoring data:
the cloud platform of the Internet of things can receive real-time monitoring data from all parts and sensors in the system and store and process the real-time monitoring data.
2. Data analysis and processing:
the cloud platform of the Internet of things has the functions of data analysis and processing, and can analyze received monitoring data in real time. This includes statistics of the data, trend analysis, anomaly detection, etc., to provide more insight and judgment.
3. Data presentation and visualization:
the cloud platform of the Internet of things can display real-time monitoring data to a user in the form of charts, tables or other visualizations through an intuitive interface. Thus, the user can intuitively know the running condition of the system and the change trend of the key index.
4. Alarm and notification functions:
based on the analysis result of the monitoring data, the cloud platform of the Internet of things can trigger an alarm and a notification according to preset conditions and a threshold value. When the system is abnormal or exceeds the set range, the platform can send an alarm to the user in time and provide corresponding advice.
5. Remote control and management:
the cloud platform of the Internet of things can realize remote control and management of the system. The user can perform operations such as instruction issuing, parameter adjustment and the like through the platform so as to optimize the operation efficiency and performance of the system.
By providing the functions of storing, analyzing and displaying the real-time monitoring data, the cloud platform of the Internet of things enables a user to more conveniently check and manage various indexes of the system operation and timely take corresponding measures. This helps to improve the stability, reliability and efficiency of the system and provides better management decision support for the user.
It should be noted that, in the sewage pipeline monitoring system provided in this embodiment, specific structures and configurations of the peripheral interfaces and the components of the pipeline may be designed and installed according to actual situations, so as to ensure stability and reliability of the system. The following are some design and installation considerations:
1. pipeline peripheral interface: depending on the characteristics and requirements of the pipeline, a suitable peripheral interface is selected. For example, waterproof joints, connectors, sealing rings, etc. may be selected to ensure reliable connection to the pipeline and waterproof performance.
2. And (3) selecting parts: appropriate components are selected according to system requirements and environmental conditions. This includes sensors, controls, valves, pumps, etc. The proper make and model is chosen to ensure that they have good performance and reliability.
3. The materials are selected as follows: materials with the characteristics of corrosion resistance, high temperature resistance, pressure resistance and the like are selected to adapt to the working conditions of pipelines. The materials should also be selected with consideration to the properties of the pipe medium to prevent corrosion, abrasion, etc. of the materials.
4. Ensure firmness, convenient operation and provide necessary maintenance space.
5. And (3) system integration: all parts are organically combined together, so that the overall working consistency and coordination of the system are ensured.
6. Protective measures are as follows: appropriate protection measures are provided for pipeline peripheral interfaces and parts according to the requirements of the system operation environment. For example, a protective cover, a dust cover, a waterproof cover, etc. are added to prevent the influence of external factors on the system.
7. Troubleshooting and maintenance: the system should be designed in consideration of trouble shooting and maintenance convenience. The parts are ensured to be easily disassembled and replaced, and corresponding maintenance channels and maintenance interfaces are provided.
8. Interference resistance: to ensure the stability of the system, the interference-free capability of the interfaces and components should be taken into account. Proper shielding measures are adopted to reduce the influence of external interference on the system.
9. The standby scheme is as follows: in order to increase the reliability of the system, it is conceivable to design redundancy schemes, such as the provision of redundant components or redundancy interfaces. Therefore, when a part of parts or interfaces are in fault, the standby part can immediately take over the work, so that the continuous operation of the system is ensured.
The specific operation modes of the sewage pipeline monitoring system provided by the embodiment comprise the following contents:
1. the system equipment operates:
the complete monitoring system is installed and ensures that all sensors and equipment are working properly. The system will continuously monitor the sewer line for minor leakage.
2. Data acquisition and transmission:
the monitoring system detects and analyzes the micro leakage periodically or in real time.
4. Threshold setting and alarm:
and setting a proper leakage warning threshold according to the analysis result. When the leakage is detected to exceed the set threshold value, an alarm system is triggered and corresponding notification is carried out, so that measures can be taken in time to repair the leakage.
5. Remote monitoring and maintenance:
through the remote monitoring system, operation and maintenance personnel can remotely check the state and data of the monitoring system at any time. Remote maintenance, fault removal, and updating and optimization operations may be performed on the system.
6. Data reporting and analysis:
the monitoring system may generate periodic or immediate data reports providing information regarding leakage conditions, alert status, trends, etc. These reports may be used by administrators and related personnel to make decisions and analysis.
7. Periodic maintenance and calibration, report analysis, and the like. Therefore, the problem of tiny leakage of the sewage pipeline can be found and treated in time, so that the normal operation of the sewage pipe network and the environmental protection are ensured.
It should be noted that the specific maintenance method of the sewer line monitoring system includes:
1. and (3) maintaining the detection equipment:
the operating conditions of the electrical micro-leakage sensor and monitoring system are periodically checked and maintained. This includes cleaning the sensor surface, ensuring that the sensitivity and accuracy of the sensor is not contaminated or damaged.
2. Data checksum calibration:
and periodically checking and calibrating the monitoring system to ensure that the acquired data are accurate and reliable. The calibration process may be operated in accordance with prescribed steps with reference to a manual of use of the sensor and monitoring system. Typically including adjusting sensitivity, calibrating threshold values, etc.
3. Troubleshooting:
if a sensor or a monitoring system fails in the monitoring process, the fault removal is needed. This may include checking whether the power supply is normal, whether the sensor is connected correctly, whether the signal transmission line is normal, etc. And according to the fault phenomenon, referring to a fault diagnosis guideline of the equipment to perform corresponding processing.
4. Data analysis and reporting:
the monitored data is analyzed and reported periodically to discover anomalies and leakage events. By the data analysis function provided by the monitoring system, the position and degree of leakage can be identified, and a report can be timely generated.
5. Maintenance record and maintenance:
and establishing equipment maintenance records, including maintenance personnel, maintenance dates, maintenance contents and the like. All connections and power lines are checked regularly to ensure stable operation of the device. And the aged or damaged parts are replaced in time, so that the normal working state of the equipment is maintained.
6. Training and updating:
training for equipment use and maintenance is performed periodically to ensure that maintenance personnel have the necessary knowledge and skills. Meanwhile, the updating and development of the monitoring technology are concerned, and the equipment version and software are updated in time so as to improve the performance and the function of the monitoring system.
It should be noted that, regarding the power management module in the system, an appropriate power management scheme, such as battery power supply, external power supply, solar power supply, etc., may be selected according to the power supply requirement and the service environment of the system.
According to the technical scheme, the application provides a sewage pipeline monitoring system which comprises an electric signal transmitting module, an electric signal collecting and processing module, a lower computer, a data remote transmission module and an Internet of things cloud platform; the electric signal transmitting module is used for transmitting electric signals with preset frequency and intensity to the sewage pipeline; the electric signal acquisition processing module is used for receiving the electric signal returned by the sewage pipeline and pipeline parameters of the sewage pipeline; the lower computer is used for sending the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline to the data remote transmission module; the data remote transmission module is used for transmitting the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline to the Internet of things cloud platform; the internet of things cloud platform is used for judging whether the sewage pipeline has leakage or not according to the electric signals returned by the sewage pipeline; and if the sewage pipeline has a leakage condition, determining an abnormality reason and an abnormality treatment strategy of the sewage pipeline according to pipeline parameters of the sewage pipeline. When the pipeline is in micro leakage, leakage substances react with electrolyte in water to generate a weak current signal, and in the embodiment, the micro leakage in the sewage pipeline can be monitored accurately in real time by monitoring the weak leakage electric signal in the surrounding environment of the pipeline, so that the leakage problem can be perceived and repaired early, potential environmental pollution and safety risk are avoided, and the micro leakage problem in the pipeline can be monitored accurately in real time, so that the potential environmental pollution and safety risk can be found and solved in time. Secondly, the system has no interference to the operation of the sewage pipeline, and the leakage monitoring is completed without affecting the production. In addition, the embodiment can be combined with a data acquisition and analysis system to realize remote monitoring and early warning, and the efficiency and accuracy of leakage detection are improved.
That is, the system has the following advantages over the prior art:
1. and (3) real-time monitoring: the method can monitor the tiny leakage problem in the sewage pipeline in real time, and serious consequences caused by neglecting the leakage problem are avoided.
2. High accuracy: through analysis and comparison of current signals, the method can accurately locate the leakage point and improve the accuracy of leakage detection.
3. Does not interfere with the operation of the pipeline: the method has little interference to the pipeline operation and does not affect the production and daily use.
4. Remote monitoring and early warning: after being combined with a data acquisition and analysis system, the system can realize remote monitoring and early warning, and improves the monitoring efficiency and the management convenience.
In a word, the system provided by the embodiment can effectively solve the problem of micro-leakage of the sewage pipeline, and protect the health and safety of the environment and human beings.
It will be appreciated by those skilled in the art that embodiments of the application may be provided as a system or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware aspects.
The embodiments of the present application are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for the device embodiments, since they are substantially similar to the system embodiments, the description is relatively simple, with reference to the partial description of the system embodiments.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, system, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, system, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, system, article or apparatus that comprises the element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (10)
1. The sewage pipeline monitoring system is characterized by comprising an electric signal transmitting module, an electric signal collecting and processing module, a lower computer, a data remote transmission module and an Internet of things cloud platform;
the electric signal transmitting module is used for transmitting electric signals with preset frequency and intensity to the sewage pipeline;
the electric signal acquisition processing module is used for receiving the electric signal returned by the sewage pipeline and pipeline parameters of the sewage pipeline;
the lower computer is used for sending the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline to the data remote transmission module;
the data remote transmission module is used for transmitting the electric signals returned by the sewage pipeline and pipeline parameters of the sewage pipeline to the Internet of things cloud platform;
the internet of things cloud platform is used for judging whether the sewage pipeline has leakage or not according to the electric signals returned by the sewage pipeline; and if the sewage pipeline has a leakage condition, determining an abnormality reason and an abnormality treatment strategy of the sewage pipeline according to pipeline parameters of the sewage pipeline.
2. The system according to claim 1, wherein the arrangement positions of the electric signal transmitting module and the electric signal collecting and processing module are determined according to the pipeline structure and layout mode of the sewage pipeline.
3. The system of claim 1, wherein the internet of things cloud platform is specifically configured to determine whether a leakage condition exists in the sewage pipeline based on an electrical signal returned by the sewage pipeline by using preset leakage source type data or a preset leakage identification model; if the sewage pipeline has leakage, determining an abnormality reason and an abnormality processing strategy of the sewage pipeline based on pipeline parameters of the sewage pipeline by using preset leakage source type data or a preset leakage identification model.
4. The system of claim 1, wherein the electrical signal acquisition processing module is configured to receive a pipeline parameter of the sewer pipeline acquired by a sensor disposed in the sewer pipeline.
5. The system of claim 1, wherein the internet of things cloud platform stores map data corresponding to the sewer line; the internet of things cloud platform is further used for determining pipeline positions where leakage occurs by utilizing the map data and pipeline parameters of the sewage pipeline.
6. The system of claim 1, wherein the internet of things cloud platform is further configured to: if the sewage pipeline has a leakage condition, alarming and reminding are carried out; carrying out statistical analysis on the alarm reminding data and providing alarm statistical information; recording alarm processing process and analyzing alarm processing result.
7. The system of claim 1, wherein the internet of things cloud platform is further configured to: displaying the pipeline state and leakage source information of the sewage pipeline; providing a query function of a history alarm record; and the device is connected with other equipment, and sends alarm prompt information to the other equipment.
8. The system of claim 1, wherein the communication connection manner among the electric signal transmitting module, the electric signal collecting and processing module, the lower computer, the data remote transmission module and the internet of things cloud platform comprises one of the following: wi-Fi, bluetooth, zigbee, loRaWAN.
9. The system of claim 1, wherein a communication protocol between the electrical signal transmitting module, the electrical signal collecting and processing module, the lower computer, the data remote transmission module, and the internet of things cloud platform comprises at least one of: TCP/IP, MQTT, HTTPS.
10. The system of claim 1, wherein the internet of things cloud platform is further configured to: displaying the abnormality cause of the sewage pipeline, an abnormality treatment strategy and pipeline parameters of the sewage pipeline in a visual form; wherein the visualization form comprises at least one of the following: charts and tables.
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