CN114001346B - Boiler pollution discharge detection system and detection method thereof - Google Patents
Boiler pollution discharge detection system and detection method thereof Download PDFInfo
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- CN114001346B CN114001346B CN202111232073.XA CN202111232073A CN114001346B CN 114001346 B CN114001346 B CN 114001346B CN 202111232073 A CN202111232073 A CN 202111232073A CN 114001346 B CN114001346 B CN 114001346B
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- 238000001514 detection method Methods 0.000 title claims abstract description 31
- 230000005540 biological transmission Effects 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 7
- 239000010865 sewage Substances 0.000 claims description 26
- 238000012545 processing Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 18
- 238000012937 correction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 239000012535 impurity Substances 0.000 description 3
- 150000003839 salts Chemical class 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 239000013049 sediment Substances 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 239000010802 sludge Substances 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 239000003513 alkali Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 239000002893 slag Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F22—STEAM GENERATION
- F22B—METHODS OF STEAM GENERATION; STEAM BOILERS
- F22B37/00—Component parts or details of steam boilers
- F22B37/02—Component parts or details of steam boilers applicable to more than one kind or type of steam boiler
- F22B37/56—Boiler cleaning control devices, e.g. for ascertaining proper duration of boiler blow-down
- F22B37/565—Blow-down control, e.g. for ascertaining proper duration of boiler blow-down
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Indication Of The Valve Opening Or Closing Status (AREA)
- Examining Or Testing Airtightness (AREA)
Abstract
The invention relates to a boiler blow-down detection system and a detection method thereof, wherein the boiler blow-down detection system comprises a boiler barrel, a slow valve, a blow-down pipeline after the slow valve is opened, a fast valve, a boiler barrel pressure transmitter, a first temperature measuring element, a PLC control module, an Internet of things transmission module, a cloud platform server and a PC/mobile phone end; the bottom of the boiler barrel is communicated with a drain pipe, the front end of the drain pipe is provided with a slow-opening valve, the slow-opening valve is connected with a fast-opening valve through a drain pipe after the slow-opening valve, and a temperature measuring element is arranged on the drain pipe after the slow-opening valve; the boiler barrel is provided with a pressure transmitter, signals of the pressure transmitter and a temperature measuring element are connected to a temperature acquisition module of the PLC control module, and then connected with an internet of things transmission module, the internet of things transmission module transmits acquired data of the temperature module, duration, frequency and the like to a cloud platform server through 4G/5G signals, and early warning and alarm information is pushed to a PC/mobile phone end. The invention monitors and guides the boiler pollution discharge process, and reduces unreasonable pollution discharge behavior caused by human factors.
Description
Technical Field
The invention relates to the technical field of industrial boiler pollution discharge, in particular to a boiler pollution discharge detection system and a detection method thereof.
Background
When the steam boiler is in operation, boiler feed water is evaporated and concentrated into steam in the boiler barrel, the steam after steam-water separation is carried out of the boiler barrel, and water drops containing impurities and organic salts are returned to the boiler barrel after separation, so that the water in the boiler barrel is concentrated continuously, and certain solid impurities, alkalinity and salts are generated in the boiler barrel and deposited in the boiler. Thus, timely blowdown is very necessary. The driller needs to determine the pollution discharge times according to the alkalinity value of the water quality test result, so that the alkalinity of the boiler reaches the water quality standard requirement. However, in actual operation, a plurality of operators stabilize the steam supply pressure, and can not discharge sewage in time when the boiler load is large, so that the boiler water quality is unqualified; on the other hand, when a certain driller is carrying out sewage disposal, only the place close to the operation room is subjected to sewage disposal, and the other inconvenient places are rarely subjected to sewage disposal.
The incorrect pollution discharge mode of the boiler can influence and even endanger the safe operation of the boiler, the pollution discharge time is too short or pollution is not discharged, dense scale is deposited in the boiler barrel and is wrapped on a heating surface to influence heat transfer, and serious safety accidents such as heat transfer deterioration of a boiler liner and a boiler tube, bulge, tube explosion, corrosion leakage and the like can be caused; or forming sludge and loose slag-like sediment in the boiler barrel; if the sewage is discharged for too long, a large amount of hot water is lost, and the heat energy loss is increased.
In order to control the water quality of boiler water to meet the specified standard and keep the impurities in the boiler water within a certain limit, the boiler water with larger salt content and alkali content and deposited water slag, sludge and loose sediment need to be removed from the boiler in time, so that the aim of safe operation is fulfilled.
The blowdown valve should be found, repaired or replaced in time after being damaged, and blowdown can not be carried out when the boiler needs blowdown due to damage of the blowdown valve. Therefore, the automatic check valve has the function of automatically checking the fault of the sewage disposal valve, and the automatic sewage disposal valve can conveniently record the opening and closing conditions of the valve.
Disclosure of Invention
The invention aims to overcome the defects, and provides a boiler blow-down detection system and a detection method thereof, which realize the monitoring and guidance of a boiler blow-down process by using low-cost equipment and reduce unreasonable blow-down behaviors caused by human factors.
The purpose of the invention is realized in the following way:
A boiler blow-down detection system comprises a boiler barrel, a slow valve, a blow-down pipeline after slow valve opening, a fast valve, a boiler barrel pressure transmitter, a first temperature measuring element, a PLC control module, an Internet of things transmission module, a cloud platform server and a PC/mobile phone end; the bottom of the boiler barrel is communicated with a drain pipe, the front end of the drain pipe is provided with a slow-opening valve, the drain pipe is connected with a fast-opening valve after the slow-opening valve passes through the slow-opening valve, and a first temperature measuring element is arranged on the drain pipe after the slow-opening valve; the boiler barrel is provided with a boiler barrel pressure transmitter, signals of the boiler barrel pressure transmitter and the first temperature measuring element are connected to a temperature acquisition module of a PLC control module, the PLC control module is connected with an Internet of things transmission module, the Internet of things transmission module transmits acquired data of the temperature module, duration, frequency and the like to a cloud platform server through 4G/5G signals, and early warning and alarm information is pushed to a PC/mobile phone end after operation of an algorithm module in the cloud platform server.
Further, the boiler barrel is also connected with a manual input device for detecting the scaling condition in the boiler, the manual input device for detecting the scaling condition in the boiler is connected with the cloud platform server, and the scaling condition in the boiler can be input into an algorithm module in the cloud platform server for correcting and iterating the scaling risk coefficient of the boiler.
Further, the quick-opening valve is connected with a quick-opening valve rear pipeline, a second temperature measuring element is installed on the quick-opening valve rear pipeline, and signals of the second temperature measuring element are uploaded to the cloud platform server through the PLC control module and the Internet of things transmission module.
The detection method of the boiler blow-down detection system comprises the following steps:
After uploading the collected data of the boiler barrel pressure transmitter and the temperature measuring element to a cloud platform server, carrying out self-adaptive data processing, removing oversized, undersized or obvious error data, carrying out statistics on the data with delay in transmission in a mode of arithmetic average or median in 30 seconds, and judging the opening state of a boiler blow-down valve;
If the blow-down valve is judged not to be opened, returning to the initial state;
If the blow-down valve is judged to be opened, whether the boiler is overtime or not is judged continuously;
if yes, pushing early warning and alarm information;
If the time-out range is not in the time-out range, ending;
After the blow-off valve is opened, judging whether the opening frequency reaches a set condition or not, and if the opening frequency does not reach the standard, pushing early warning and alarming information;
If the sewage reaches the standard, continuously judging whether the sewage discharge duration reaches the standard; if the standard is reached, ending; if the information does not reach the standard, pushing early warning and alarm information.
Further, the cloud platform server records the opening and closing time and sequence of the bottom blow-down valve, and detects the temperature of the pipeline before and after the blow-down valve and the operating pressure of the boiler barrel, if the temperature after the valve is close to the saturation temperature corresponding to the pressure in the boiler barrel, the operator is considered to open the bottom blow-down valve for blow-down, so that whether the bottom blow-down valve is opened or closed according to the requirement is judged.
Further, the cloud platform server records the opening time of the bottom blow-down valve, and judges whether the blow-down time reaches the standard by detecting the temperature of the pipeline before and after the blow-down valve and the duration time of the running pressure of the boiler barrel.
Further, a second temperature measuring element is arranged on the pipeline behind the quick-opening valve, the temperature before and after the quick-opening valve is obtained by comparing the data of the first temperature measuring element and the second temperature measuring element, and whether the pollution discharge slow-opening valve and the quick-opening valve have leakage states is judged according to the comparison of the temperature before and after the quick-opening valve and the saturation temperature corresponding to the pressure of the boiler barrel.
Further, the manual input device for detecting the scaling condition in the boiler is connected with the cloud platform server, the scaling condition in the boiler barrel detected in the boiler can be input into the algorithm module in the cloud platform server, and the scaling risk coefficient of the boiler is corrected by combining the scaling condition detected in the boiler, so that pushing information guided by the scaling prediction result is more in line with the actual condition.
Compared with the prior art, the invention has the beneficial effects that:
(1) The invention uses low-cost equipment to monitor and guide the boiler pollution discharge process, and reduces unreasonable pollution discharge behavior caused by human factors.
(2) The invention can be used for not only new boilers, but also old boilers.
(3) The invention uses the cloud platform to complete system calculation, iteration and correction, and is suitable for the influence of the pollution discharge condition of water quality in different areas on boiler scaling.
Drawings
Fig. 1 is a schematic system diagram of embodiment 1 of the present invention.
Fig. 2 is a schematic system diagram of embodiment 2 of the present invention.
FIG. 3 is a flow chart of a blowdown status module diagnostic process of the present invention.
Wherein:
The boiler barrel comprises a boiler barrel 1, a slow valve 2, a sewage pipeline 3 after slow valve opening, a fast valve 4, a boiler barrel pressure transmitter 5, a first temperature measuring element 6, a PLC control module 7, an Internet of things transmission module 8, a cloud platform server 9, a PC/mobile phone end 10 and a second temperature measuring element 11.
Detailed Description
In order to better understand the technical solution of the present invention, the following detailed description will be made with reference to the accompanying drawings. It should be understood that the following embodiments are not intended to limit the embodiments of the present invention, but are merely examples of embodiments that may be employed by the present invention. It should be noted that, the description herein of the positional relationship of the components, such as the component a being located above the component B, is based on the description of the relative positions of the components in the drawings, and is not intended to limit the actual positional relationship of the components.
Example 1:
Referring to fig. 1 and 3, fig. 1 is a schematic view showing the construction of a boiler blow-down detection system according to the present invention. As shown in the figure, the invention relates to a boiler blow-down detection system, which comprises a boiler barrel 1, a slow valve 2, a blow-down pipeline 3 after slow valve opening, a fast valve 4, a boiler barrel pressure transmitter 5, a first temperature measuring element 6, a PLC control module 7, an Internet of things transmission module 8, a cloud platform server 9, a PC/mobile phone end 10 and a manual input device for detecting scaling conditions in the boiler.
The first temperature measuring element 6 may be a temperature measuring element such as a thermal resistor, a thermocouple, or other types of temperature measuring elements.
Taking a gas steam boiler of WNS20-1.25-Q.T as an example, the boiler barrel 1 has rated evaporation capacity of 20t/h and rated steam pressure of 1.25MPa; the actual operating pressure is 0.7MPa, the saturated steam temperature is 170 ℃, and softened water is used as boiler feed water.
The bottom of the boiler barrel 1 is communicated with a sewage drain pipe, the front end of the sewage drain pipe is provided with a slow opening valve 2, the slow opening valve 2 is connected with a quick opening valve 4 through a slow opening valve rear sewage drain pipe 3, and a first temperature measuring element 6 is arranged on the slow opening valve rear sewage drain pipe 3.
The boiler barrel 1 is provided with a boiler barrel pressure transmitter 5, signals of the boiler barrel pressure transmitter 5 and a first temperature measuring element 6 are connected to a temperature acquisition module of a PLC control module 7, the PLC control module 7 is connected with an Internet of things transmission module 8, the Internet of things transmission module 8 transmits acquired data such as temperature module, duration, frequency and the like to a cloud platform server 9 through 4G/5G signals, and early warning and alarm information is pushed to a PC/mobile phone end 10 after being operated by an algorithm module in the cloud platform server 9.
The boiler barrel 1 is also connected with a manual input device for detecting the scaling condition in the boiler, the manual input device for detecting the scaling condition in the boiler is connected with the cloud platform server 9, and the scaling condition in the boiler detected in the boiler can be input into an algorithm module in the cloud platform server 9 for correcting and iterating the scaling risk coefficient of the boiler, so that the accuracy of calculation and actual conditions through the algorithm module is improved.
Referring to FIG. 3, FIG. 3 depicts a blowdown status module diagnostic flow chart of the blowdown detection system of the present invention. As shown in the figure, the invention relates to a detection method of a boiler blow-down detection system, which comprises the following steps:
After uploading the collected data of the boiler barrel pressure transmitter 5 and the first temperature measuring element 6 to the cloud platform server 9, carrying out self-adaptive data processing, removing oversized, undersized or obvious error data, carrying out statistics on data with delay on transmission in a mode of arithmetic average or median within 30 seconds, and judging the opening state of a boiler blow-down valve (namely a slow-opening valve 2 and a fast-opening valve 4);
If the blow-down valve is judged not to be opened, returning to the initial state;
If the blow-down valve is judged to be opened, whether the boiler is overtime or not is judged continuously;
if yes, pushing early warning and alarm information;
If the time-out range is not in the time-out range, ending;
After the blow-off valve is opened, judging whether the opening frequency reaches a set condition or not, and if the opening frequency does not reach the standard, pushing early warning and alarming information;
If the sewage reaches the standard, continuously judging whether the sewage discharge duration reaches the standard; if the standard is reached, ending; if the information does not reach the standard, pushing early warning and alarm information.
The specific judgment content is as follows:
(1) Judging the opening state of the blow-down valve: according to the liquid temperature of the pipeline 3 after the boiler blow-down slow valve opening, namely the numerical value Tp of the first temperature measuring element 6, the saturation temperature Tb of the boiler barrel pressure transmitter 5 is compared, if (Tb-Tp) <10 ℃, the boiler blow-down is judged, and the time of the uploading temperature meeting the condition, namely the blow-down time, is recorded on a cloud platform.
(2) Judging the opening frequency of the blow-down valve: detecting that the pollution discharge frequency of the running boiler is more than or equal to 1 time in every 8 hours, and judging that the pollution discharge frequency of the boiler meets the requirement; otherwise, the cloud platform pushes information to remind the operator of timely discharging sewage.
(3) Judging the duration of the blow-down valve: too long or too short pollution discharge is unreasonable, too long pollution discharge time causes a large amount of hot water loss, and heat energy loss is increased. The sewage draining time is too short, so that the sewage draining effect cannot be achieved. If the duration of continuous pollution discharge is more than or equal to 12s, pushing a prompt that the duration of pollution discharge is too short and the pollution discharge time is increased; if the duration of the sewage is less than or equal to 30s, the sewage pushing prompt is that the duration of the sewage is too long, and the sewage valve is closed.
(4) Boiler scaling risk factor correction: and (3) combining water quality detection and manual input of the boiler internal detection scaling condition, correcting the scaling risk coefficient of the boiler, and judging the pollution discharge frequency and duration of the boiler again after correction.
(5) And (3) sewage disposal valve state management: valve KKS codes of the associated thermodynamic system correspond to factory information and basic performance of the boiler blow-down valve, and information judgment of overhaulers is facilitated.
Example 2:
Referring to fig. 2, fig. 1 depicts a logic diagram of an early warning alarm of the boiler blow-down detection system of the present invention. As shown in the figure, unlike embodiment 1, the boiler blow-down detection system according to embodiment 2 is characterized in that the quick-opening valve 4 is connected with a quick-opening valve rear pipeline, a second temperature measuring element 11 is installed on the quick-opening valve rear pipeline, signals of the second temperature measuring element 11 are uploaded to the cloud platform server 9 through the PLC control module 7 and the internet of things transmission module 8, and whether two valves have leakage conditions is judged by comparing the data of the first temperature measuring element 6 and the second temperature measuring element 11.
(6) Judging valve leakage: and judging whether the pollution discharge slow-opening valve and the quick-opening valve have leakage states according to the comparison of the front and rear temperatures of the quick-opening valve and the saturation temperature corresponding to the pressure of the boiler barrel, so that the inspection personnel can find the tight state of the valve early to perform corresponding treatment.
The foregoing is merely a specific application example of the present invention, and the protection scope of the present invention is not limited in any way. All technical schemes formed by equivalent transformation or equivalent substitution fall within the protection scope of the invention.
Claims (5)
1. A detection method of a boiler blow-down detection system is characterized in that: the boiler blow-down detection system comprises a boiler barrel, a slow valve, a blow-down pipeline after slow valve opening, a fast valve, a boiler barrel pressure transmitter, a first temperature measuring element, a PLC control module, an Internet of things transmission module, a cloud platform server and a PC/mobile phone end; the bottom of the boiler barrel is communicated with a drain pipe, the front end of the drain pipe is provided with a slow-opening valve, the drain pipe is connected with a fast-opening valve after the slow-opening valve passes through the slow-opening valve, and a first temperature measuring element is arranged on the drain pipe after the slow-opening valve; the system comprises a boiler barrel, a PLC control module, an Internet of things transmission module, a cloud platform server, an algorithm module and a PC/mobile phone end, wherein the boiler barrel is provided with the boiler barrel pressure transmitter, signals of the boiler barrel pressure transmitter and a first temperature measuring element are connected to the temperature acquisition module of the PLC control module, the PLC control module is connected with the Internet of things transmission module, the Internet of things transmission module transmits acquired temperature, duration and frequency data to the cloud platform server through 4G/5G signals, and early warning and alarm information is pushed to the PC/mobile phone end after the algorithm module in the cloud platform server operates;
The detection method comprises the following steps:
After uploading the collected data of the boiler barrel pressure transmitter and the temperature measuring element to a cloud platform server, carrying out self-adaptive data processing, removing oversized, undersized or obvious error data, carrying out statistics on the data with delay in transmission in a mode of arithmetic average or median in 30 seconds, and judging the opening state of a boiler blow-down valve;
If the blow-down valve is judged not to be opened, continuously judging whether the boiler is overtime without blow-down;
if yes, pushing early warning and alarm information;
If the time-out range is not in the time-out range, ending;
After the blow-off valve is opened, judging whether the opening frequency reaches a set condition or not, and if the opening frequency does not reach the standard, pushing early warning and alarming information;
If the sewage reaches the standard, continuously judging whether the sewage discharge duration reaches the standard; if the standard is reached, ending; if the information does not reach the standard, pushing early warning and alarm information.
2. A method of detecting a boiler blow down detection system according to claim 1, wherein: the cloud platform server records the opening and closing time and sequence of the bottom blow-down valve, and detects the temperature of a pipeline in front of and behind the blow-down valve and the operating pressure of the boiler barrel, if the temperature behind the valve is close to the saturation temperature corresponding to the pressure in the boiler barrel, the bottom blow-down valve is considered to be opened by a driver for blow-down, so that whether the bottom blow-down valve is opened or closed according to the requirement is judged.
3. A method of detecting a boiler blow down detection system according to claim 1, wherein: the cloud platform server records the opening time of the bottom blow-down valve, and judges whether the blow-down time reaches the standard by detecting the temperature of pipelines in front and behind the blow-down valve and the duration time of the approach of the running pressure of the boiler barrel.
4. A method of detecting a boiler blow down detection system according to claim 1, wherein: and a second temperature measuring element is arranged on the pipeline behind the quick-opening valve, the temperature before and after the quick-opening valve is obtained by comparing the data of the first temperature measuring element and the second temperature measuring element, and whether the pollution discharge slow-opening valve and the quick-opening valve have leakage states is judged according to the comparison of the temperature before and after the quick-opening valve and the saturation temperature corresponding to the pressure of the boiler barrel.
5. A method of detecting a boiler blow down detection system according to claim 1, wherein: the manual input device for detecting the scaling condition in the boiler is connected with the cloud platform server, the scaling condition in the boiler barrel detected in the boiler can be input into the algorithm module in the cloud platform server, and the scaling risk coefficient of the boiler is corrected by combining the scaling condition detected in the boiler, so that pushing information guided by the scaling prediction result is more in line with the actual condition.
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| CN202111232073.XA CN114001346B (en) | 2021-10-22 | 2021-10-22 | Boiler pollution discharge detection system and detection method thereof |
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| CN202111232073.XA CN114001346B (en) | 2021-10-22 | 2021-10-22 | Boiler pollution discharge detection system and detection method thereof |
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| CN115314498A (en) * | 2022-08-16 | 2022-11-08 | 武汉涛初科技有限公司 | Industrial boiler operation online real-time monitoring early warning cloud platform based on artificial intelligence |
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| CN114001346A (en) | 2022-02-01 |
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