CN214839219U - Intelligent temperature monitoring system for water delivery pipeline - Google Patents
Intelligent temperature monitoring system for water delivery pipeline Download PDFInfo
- Publication number
- CN214839219U CN214839219U CN202022891434.9U CN202022891434U CN214839219U CN 214839219 U CN214839219 U CN 214839219U CN 202022891434 U CN202022891434 U CN 202022891434U CN 214839219 U CN214839219 U CN 214839219U
- Authority
- CN
- China
- Prior art keywords
- temperature
- pipeline
- heating
- power
- intelligent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 40
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 22
- 238000010438 heat treatment Methods 0.000 claims abstract description 90
- 230000003287 optical effect Effects 0.000 claims abstract description 28
- 239000013307 optical fiber Substances 0.000 claims abstract description 27
- 238000012545 processing Methods 0.000 claims abstract description 20
- 230000007613 environmental effect Effects 0.000 claims abstract description 16
- 238000001514 detection method Methods 0.000 claims description 11
- 238000007689 inspection Methods 0.000 abstract description 4
- 238000012806 monitoring device Methods 0.000 abstract description 3
- 238000001069 Raman spectroscopy Methods 0.000 description 11
- 238000009529 body temperature measurement Methods 0.000 description 11
- 238000000034 method Methods 0.000 description 8
- 230000000694 effects Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 230000009191 jumping Effects 0.000 description 5
- 238000004321 preservation Methods 0.000 description 5
- 229920000742 Cotton Polymers 0.000 description 4
- 238000011217 control strategy Methods 0.000 description 3
- 238000007710 freezing Methods 0.000 description 3
- 230000008014 freezing Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000004804 winding Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 239000005413 snowmelt Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Landscapes
- Measuring Temperature Or Quantity Of Heat (AREA)
Abstract
The utility model discloses an intelligent temperature monitoring system of a water pipeline, which comprises a distributed optical fiber intelligent temperature monitoring device, a switch control device and a plurality of laying modules, wherein each laying module comprises a sensing optical cable, a self-temperature-limiting heating belt and a power-on control switch for controlling the power-on or power-off of the heating belt; the distributed optical fiber temperature intelligent monitoring equipment comprises a temperature sensing layer, a processing module and a display module; the sensing optical cable and the heating band are laid on each pipeline to be tested, and one end of the sensing optical cable and the power-on control switch of the heating band are respectively connected with the switch control equipment. The system carries out real-time monitoring and intelligent heating control on the environmental temperature of the water conveying pipeline of the power plant, does not need manual inspection, and provides an automatic and intelligent water conveying pipeline temperature monitoring means for the thermal power plant.
Description
Technical Field
The utility model relates to a distributed optical fiber sensing, conduit temperature management and control technical field, especially a conduit's temperature intelligent monitoring system.
Background
The outdoor temperature is lower in winter, and in order to prevent the normal operation of power plant from being influenced by the icing of the water pipeline, the thermal power plant uses a self-limiting temperature heating belt and a heat-insulating cotton layer to heat and insulate the water pipeline. After the water pipe is heated in winter, the heating band-pass switches of all the water pipes are opened, the heating band is always in an electrified heating state, and the water pipes are continuously heated. Because the cotton layer of heat preservation is damaged, the cotton layer outside snow melt seepage of heat preservation leads to the heating tape to damage, perhaps the heating tape self ageing trouble reason such as out of work all probably leads to heating and heat preservation failure to the conduit, and then leads to the pipeline to freeze. In order to prevent the pipes from freezing, the environmental temperature conditions of the water pipes must be checked regularly. The traditional mode is that, arrange the artifical inspection of patrolling of personnel on duty every day regularly, the ambient temperature condition of pipeline is examined to the temperature mode through the individual point of manual measurement pipeline, if discover the pipeline temperature and hang down, then judge the heating tape trouble, in time overhaul to prevent that the pipeline from freezing, influence the normal operating of power plant. The traditional mode has the following disadvantages:
1. the automation degree is weak, and the labor cost is high. When the temperature was lower night in winter, if the cotton layer of heat preservation damaged or heating tape trouble, the water pipe easily freezes in the short time, in order to prevent that the water pipe from freezing, need improve artifical inspection cycle of patrolling, consume a large amount of human costs.
2. Manual tours can only check the temperature at a small number of points. Because the water pipeline is complicated to walk, only a small number of fixed points can be checked by manual inspection, and the whole environment temperature condition of the pipeline cannot be effectively monitored, so that effective prevention is realized.
How to solve present not enough, improve the automation and the intelligent degree of conduit temperature monitoring, become the practical application demand of thermal power factory.
Disclosure of Invention
The utility model aims to solve the technical problem that overcome prior art not enough and provide a temperature intelligent monitoring system of conduit, the utility model discloses carry out real time monitoring, intelligent heating accuse to the ambient temperature of power plant conduit, need not artifical patrol, realize that conduit heating tape trouble is automatic to be found and report an emergency and ask for help or increased vigilance, provide an automatic, intelligent conduit temperature monitoring means for thermal power factory.
The utility model discloses a solve above-mentioned technical problem and adopt following technical scheme:
according to the utility model provides an intelligent temperature monitoring system of water pipeline, including distributed optical fiber temperature intelligent monitoring equipment, switch control equipment and a plurality of laying modules, laying modules including sensing optical cables, a self-limiting heating band and a power-on control switch for controlling the power-on or power-off of the heating band; the distributed optical fiber temperature intelligent monitoring equipment comprises a temperature sensing layer, a processing module and a display module; wherein,
the sensing optical cable and the heating belt are laid on each pipeline to be tested, and one end of the sensing optical cable and the power-on control switch of the heating belt are respectively connected with the switch control equipment;
the temperature sensing layer is used for acquiring temperature detection data of each continuous point along the sensing optical cable, converting the temperature detection data into environmental temperature data of each continuous point along the pipeline, and outputting the environmental temperature data of each continuous point along the pipeline to the processing module and the display module;
the processing module is used for periodically triggering the temperature sensing layer to work and outputting the running state of the system to the display module under the automatic running mode of the system; the power-on control switch is also used for controlling the power-on control switch according to the real-time environment temperature data of each continuous point along the pipeline, so that the power-on or power-off of the heating belt is realized, and the working state and the heating time of the heating belt are output to the display module;
and the display module is used for displaying the latest environment temperature data of all the monitored pipelines, the working states and the heating time of all the heating belts and the running state of the system in real time.
As a further optimization scheme of temperature intelligent monitoring system of conduit, on-off control equipment for be responsible for a plurality of switching of laying the module.
As a further optimization scheme of temperature intelligent monitoring system of conduit, on-off control equipment for the light signal who is responsible for multichannel sensing optical cable switches.
The utility model adopts the above technical scheme to compare with prior art, have following technological effect:
the utility model discloses utilize distributed optical fiber raman temperature measurement technique, to the conduit heating heat preservation demand in winter of thermal power factory, design a conduit's temperature intelligent monitoring system, carry out real time monitoring, intelligent heating accuse to the whole ambient temperature of power factory conduit, need not artifical patrol, realize that conduit heating trouble is automatic to be found and report an emergency and ask for help or increased vigilance, provide an automatic, intelligent conduit temperature monitoring means for the thermal power factory.
Drawings
FIG. 1 is a schematic diagram of a distributed optical fiber temperature intelligent monitoring device.
FIG. 2 illustrates several common ways and location calibration of the pipeline cable installation; wherein, (a) is a spiral winding mode, (b) is a linear laying mode, and (c) is a reciprocating laying mode.
Fig. 3 is an automatic operation control flowchart.
Fig. 4 is a flow chart of heating belt switch control.
Fig. 5 is a heating failure determination flowchart.
Fig. 6 is a schematic diagram of an embodiment of a deployment of the present invention.
Detailed Description
The technical scheme of the utility model is further explained in detail with the attached drawings as follows:
the full-distributed optical fiber Raman temperature measurement technology is a high-tech nondestructive detection technology for measuring a space temperature field in real time, which is developed in recent years, and utilizes the optical fiber Raman scattering effect to measure temperature, the optical fiber is used as a sensing medium and a transmission medium, the temperature field of each point of the space where the optical fiber is positioned modulates the intensity of back Raman scattering in the optical fiber, a wavelength division multiplexer and a photoelectric detector are used for collecting back Raman scattering light signals with temperature information, and the back Raman scattering light signals are processed and demodulated to extract the temperature information from noise in real time. And positioning the measured temperature point by using the optical time domain emission technology of the optical fiber according to the transmission speed of the light wave in the optical fiber and the time interval of the backward light returning to the initial end, thereby realizing the sensing and temperature measurement of the position along the whole optical fiber. The fully distributed Raman temperature measurement technology has the advantages of no electricity, intrinsically safe property, long sensing distance, high measurement speed, corrosion resistance, strong optical cable laying adaptability and the like, and is widely concerned.
An intelligent temperature monitoring system of a water pipeline comprises distributed optical fiber intelligent temperature monitoring equipment, switch control equipment and a plurality of laying modules as shown in figure 1, wherein each laying module comprises a sensing optical cable, a self-temperature-limiting heating belt and an electrifying control switch for controlling the electrifying or the power-off of the heating belt; the distributed optical fiber temperature intelligent monitoring equipment comprises a temperature sensing layer, a processing module and a display module; wherein,
the sensing optical cable and the heating belt are laid on each pipeline to be tested, and one end of the sensing optical cable and the power-on control switch of the heating belt are respectively connected with the switch control equipment;
the temperature sensing layer is used for acquiring temperature detection data of each continuous point along the sensing optical cable, converting the temperature detection data into environmental temperature data of each continuous point along the pipeline, and outputting the environmental temperature data of each continuous point along the pipeline to the processing module and the display module;
the processing module is used for periodically triggering the temperature sensing layer to work and outputting the running state of the system to the display module under the automatic running mode of the system; the power-on control switch is also used for controlling the power-on control switch according to the real-time environment temperature data of each continuous point along the pipeline, so that the power-on or power-off of the heating belt is realized, and the working state and the heating time of the heating belt are output to the display module;
the display module is used for displaying the latest environment temperature data of all the monitored pipelines, the working states and the heating time of all the heating belts and the running state of the system in real time;
and the switch control equipment is used for switching optical signals of the multiple sensing optical cables.
The processing module is also used for judging whether the heating fault occurs in the pipeline heating or not by combining the real-time environment temperature data of each continuous point along the pipeline with a preset known alarm strategy; and if the heating fault occurs, outputting alarm information to a display module.
The utility model discloses a distributed optical fiber temperature intelligent monitoring equipment, its main theory of operation is: the optical fiber Raman temperature measurement technology is used as a temperature detection means to obtain the temperature data of each continuous point along the sensing optical cable; the optical fiber temperature data can be positioned on the pipeline through the existing position calibration processing, so that the real-time detection of the environmental temperature of the water pipeline is realized; the automatic switch control of the pipeline heating belt and the intelligent judgment and alarm of the heating fault are realized by the existing decision-making modes such as a heating control strategy, an alarm judging strategy and the like by processing and comparing the threshold parameter empirical values obtained by the experiment on the basis of the temperature data.
Fig. 2 lists several conventional cable laying schemes, in which fig. 2 (a) is a spiral winding scheme, fig. 2 (b) is a straight line laying scheme, and fig. 2 (c) is a reciprocating laying scheme. In practical application, the complexity of the pipeline routing itself is considered, and a mixed mode of multiple laying schemes is generally adopted in combination with the actual pipeline routing condition of the pipeline.
The processing module has the following existing flow: automatic operation control flow, heating belt switch control flow and heating fault alarm judging flow.
The automatic operation control process is responsible for executing distributed optical fiber Raman temperature measurement in polling, and generates environmental temperature data of each continuous point of the pipeline, as shown in FIG. 3, the specific steps are as follows:
step 1, starting;
step 2, reading the system state (the working state of the internal unit of the intelligent monitoring equipment state and the working state of the internal unit of the switch control equipment), and judging whether the working state of the system is normal: if the system working state is failed, jumping to the step 6; and if the system working state is normal, entering the step 3.
And 3, the automatic operation control module sends a temperature measurement command to the distributed optical fiber Raman temperature measurement processing module of the temperature sensing layer to perform temperature measurement.
And 4, the position calibration processing module carries out position positioning algorithm processing on the temperature detection data of each continuous point along the optical cable generated by the distributed optical fiber Raman temperature measurement processing module to obtain the environmental temperature data of the pipeline.
And 5, analyzing the environmental temperature data of the pipeline by the processing module, calculating temperature related information such as temperature change rate and the like, and storing the data.
And 6, ending the process.
A heating zone on-off control processing flow, as shown in fig. 4, realizes on-off control of the heating zone of the pipeline by using the environmental temperature data of the pipeline and the heating control strategy, and the threshold parameters of the heating control strategy include empirical reference values such as a temperature threshold, a heating duration, and the like. The method comprises the following specific steps:
step A, starting;
b, reading the system state, and judging whether the system working state is normal: if the system working state is normal, entering the step C; and if the working state of the system is abnormal (fault), jumping to the step H.
C, reading the on/off state of the heating belt of the pipeline, and judging whether the heating belt of the pipeline is electrified or not: if the heating belt is not electrified, entering the step D; if the heating tape is already energized, jump to step F.
D, reading the environmental temperature data of the pipeline for analysis, and judging whether the pipeline needs to be heated: if heating is needed, entering the step E; if no heating is required, jump to step H.
And E, turning on a heating belt power switch to heat the pipeline, and skipping to the step H.
Step F, reading the environmental temperature data and the heating time of the pipeline, and judging whether the pipeline temperature reaches a preset value according to a judgment strategy: if the temperature of the pipeline reaches a preset value, entering a step G; and if the temperature of the pipeline does not reach the preset value, skipping to the step H.
And G, closing the heating band-pass switch, stopping heating the pipeline, and entering the step H.
And H, ending the process.
The heating fault alarm judging process is responsible for analyzing the heating effect of the pipeline heating zone and judging the alarm, and whether the pipeline has a heating fault or not is judged through analyzing the data such as the latest environment temperature detection result, the historical temperature detection data, the continuous temperature change rate, the heating time and the like of the pipeline. As shown in fig. 5, the specific steps are as follows:
firstly, starting a process;
reading the system state, and judging whether the system working state is normal: if the system working state is normal, entering the step three; and if the working state of the system is abnormal (fault), jumping to step (c).
Reading the on/off state of the heating belt of the pipeline, and judging whether the heating belt of the pipeline is electrified or not: if the heating belt is electrified and heated, the step (iv) is carried out; if the power is not electrified and heated, jumping to a step (c);
reading data such as environmental temperature data, historical temperature measurement data, continuous temperature change rate, heating time and the like of the pipeline, and analyzing the heating effect of the pipeline;
judging whether the heating effect of the pipeline heating belt reaches a preset value (whether the pipeline temperature reaches the preset value under the preset condition): if the preset value is not reached, entering the step (sixthly); and if the preset value is reached, jumping to step (c).
Initiating a pipeline heating fault alarm (the heating fault described herein means that the temperature of the pipeline does not reach a preset value under a preset condition);
and step (c), finishing the process.
The networking mode of the system is, as shown in fig. 6, a multi-node one-system monitoring mode is adopted, a plurality of monitoring nodes can be distributed according to the use requirements of the thermal power plant and different pipeline region divisions, and each monitoring node is composed of an optical fiber temperature intelligent monitoring device and a switch control device. The sensing optical cable and the self-temperature-limiting heating belt are laid on a water pipeline to be monitored, and one end of the sensing optical cable and the power-on control switch of the self-temperature-limiting heating belt are respectively connected to the switch control equipment. The control equipment is connected with the intelligent monitoring equipment through a sensing optical cable. And the intelligent monitoring equipment of each monitoring node is interconnected with the monitoring center through a local area network. Each monitoring node is responsible for temperature control of all pipelines in the jurisdiction area and reports data in the nodes to the comprehensive monitoring center in real time. The monitoring center can simultaneously monitor the real-time data of each monitoring node of the whole system.
For use of the present system, the following steps are generally included:
step 1, designing the number of pipeline area division and monitoring nodes according to the number and distribution condition of the water conveying pipelines of the thermal power plant.
And 2, laying a pipeline heating belt.
And 3, laying a pipeline optical cable, selecting a position calibration point and measuring the distance. According to actual needs, if a specific position of a pipeline is to be accurately positioned, the key positions of a pipeline starting point, an inflection point, an end point, a fixed-length interval point and the like are calibrated according to the pipeline routing condition; if the pipeline is not required to be accurately positioned to a specific position, the position calibration can be carried out only on the starting point and the end point of the pipeline.
And 4, installing, deploying and connecting equipment of each monitoring node.
And 5, configuring and debugging the system. And configuring a pipeline position calibration table of each pipeline on the optical fiber temperature intelligent monitoring equipment.
And 6, performing a pipeline heating test to obtain an empirical value of a heating related threshold parameter.
And 7, finishing debugging and finishing the test. And starting an automatic running mode, and starting automatic management and control and alarm by the system.
The above description is only for the specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention should be covered by the protection scope of the present invention.
Claims (3)
1. An intelligent temperature monitoring system of a water pipeline is characterized by comprising distributed optical fiber intelligent temperature monitoring equipment, switch control equipment and a plurality of laying modules, wherein each laying module comprises a sensing optical cable, a self-temperature-limiting heating belt and an electrifying control switch for controlling the electrifying or the power-off of the heating belt; the distributed optical fiber temperature intelligent monitoring equipment comprises a temperature sensing layer, a processing module and a display module; wherein,
the sensing optical cable and the heating belt are laid on each pipeline to be tested, and one end of the sensing optical cable and the power-on control switch of the heating belt are respectively connected with the switch control equipment;
the temperature sensing layer is used for acquiring temperature detection data of each continuous point along the sensing optical cable, converting the temperature detection data into environmental temperature data of each continuous point along the pipeline, and outputting the environmental temperature data of each continuous point along the pipeline to the processing module and the display module;
the processing module is used for periodically triggering the temperature sensing layer to work and outputting the running state of the system to the display module under the automatic running mode of the system; the power-on control switch is also used for controlling the power-on control switch according to the real-time environment temperature data of each continuous point along the pipeline, so that the power-on or power-off of the heating belt is realized, and the working state and the heating time of the heating belt are output to the display module;
and the display module is used for displaying the latest environment temperature data of all the monitored pipelines, the working states and the heating time of all the heating belts and the running state of the system in real time.
2. The intelligent temperature monitoring system for the water conveying pipeline according to claim 1, wherein the switch control device is used for switching a plurality of laying modules.
3. The intelligent temperature monitoring system for the water conveying pipeline according to claim 1, wherein the switch control device is used for switching optical signals of the multiple sensing optical cables.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022891434.9U CN214839219U (en) | 2020-12-02 | 2020-12-02 | Intelligent temperature monitoring system for water delivery pipeline |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022891434.9U CN214839219U (en) | 2020-12-02 | 2020-12-02 | Intelligent temperature monitoring system for water delivery pipeline |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN214839219U true CN214839219U (en) | 2021-11-23 |
Family
ID=78802293
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202022891434.9U Active CN214839219U (en) | 2020-12-02 | 2020-12-02 | Intelligent temperature monitoring system for water delivery pipeline |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN214839219U (en) |
-
2020
- 2020-12-02 CN CN202022891434.9U patent/CN214839219U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101614602B (en) | Method and device for monitoring power transmission line | |
| KR101183587B1 (en) | System and method for monitoring underground transmission line | |
| KR102084784B1 (en) | Method for managing the operation of Photovoltaic Power Generation based on machine learning | |
| CN102411119B (en) | Intelligent monitoring device for temperature and insulation state of 330KV high-voltage cable in hydropower station | |
| CN113669628B (en) | Operation monitoring and online fault diagnosis system for steam heating network | |
| CN110486792A (en) | Heat supply network remote monitoring and managing system and method based on GPRS network | |
| CN106329385A (en) | OPGW icing thickness measuring method and measuring device | |
| CN108375962A (en) | Offshore boosting station patrols control system | |
| KR102156212B1 (en) | Fault monitoring system of urban underground distribution line | |
| CN210742535U (en) | Terminal box microclimate monitoring system | |
| CN117232680A (en) | Distributed optical fiber ammonia gas pipeline crystallization-preventing temperature real-time monitoring method | |
| CN101806925A (en) | Frost prediction for railway catenary | |
| CN214839219U (en) | Intelligent temperature monitoring system for water delivery pipeline | |
| CN202268743U (en) | Wireless temperature monitoring system for traction substation | |
| CN108007601A (en) | The optical fiber grating temperature-measuring system of communications equipment room, communication machine room temperature detection method | |
| CN112731991A (en) | Power station water pipeline temperature control method | |
| CN108363314A (en) | A kind of heat metering management service platform of central heating Internet of things system | |
| CN206440403U (en) | The optical fiber grating temperature-measuring system of communications equipment room | |
| KR101358727B1 (en) | System for managing underground facilities | |
| CN112232589A (en) | Method and system for processing water environment data of cable pipe gallery | |
| CN116972957A (en) | Vibration detection method and system for power transmission GIL pipeline | |
| CN116381555A (en) | Fault monitoring and alarming method for electric tracing system | |
| KR102368737B1 (en) | MONITORING system FOR POWER TRANSFER LINE | |
| CN202393866U (en) | Hydropower station 330kV high voltage cable temperature and insulating state intelligent monitoring device | |
| CN113154642B (en) | Dehumidifier control system for offshore wind turbine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |