CN116399392A - Automatic monitoring data analysis and judgment system for pollution sources - Google Patents
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- 238000007405 data analysis Methods 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 33
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- 239000007789 gas Substances 0.000 claims description 50
- 230000002159 abnormal effect Effects 0.000 claims description 23
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- 239000013618 particulate matter Substances 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims description 9
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 8
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- 238000012545 processing Methods 0.000 abstract description 6
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- MWUXSHHQAYIFBG-UHFFFAOYSA-N nitrogen oxide Inorganic materials O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 description 3
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- MGWGWNFMUOTEHG-UHFFFAOYSA-N 4-(3,5-dimethylphenyl)-1,3-thiazol-2-amine Chemical compound CC1=CC(C)=CC(C=2N=C(N)SC=2)=C1 MGWGWNFMUOTEHG-UHFFFAOYSA-N 0.000 description 1
- VEXZGXHMUGYJMC-UHFFFAOYSA-N Hydrochloric acid Chemical compound Cl VEXZGXHMUGYJMC-UHFFFAOYSA-N 0.000 description 1
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- 230000000694 effects Effects 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- IXCSERBJSXMMFS-UHFFFAOYSA-N hydrogen chloride Substances Cl.Cl IXCSERBJSXMMFS-UHFFFAOYSA-N 0.000 description 1
- 229910000041 hydrogen chloride Inorganic materials 0.000 description 1
- JCXJVPUVTGWSNB-UHFFFAOYSA-N nitrogen dioxide Inorganic materials O=[N]=O JCXJVPUVTGWSNB-UHFFFAOYSA-N 0.000 description 1
- -1 particulate matters Chemical compound 0.000 description 1
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Abstract
The invention relates to the technical field of automatic monitoring of pollution sources, in particular to an automatic monitoring data analysis and judgment system of pollution sources, which comprises the following analysis and judgment methods: s1, installing a system; s2, electric control connection; s3, data acquisition; s4, data analysis: s041, processing the acquired data by a temperature-pressure flow analyzer; s042, processing the acquired data by a temperature analyzer; s043, the gas analyzer processes the acquired data; s044, the humidity analyzer processes the acquired data; s045, processing the acquired data by a flow rate analyzer; s046, processing the acquired data by a particle analyzer; s5, data integration; s6, encrypting the data; s7, uploading data. The invention distinguishes and stores each monitored data state, completes the data independent state marking, improves the definition of the monitored data, processes and selectively reports the data, encrypts the program and opens up an applicable case for environmental protection law enforcement inspection.
Description
Technical Field
The invention relates to the technical field of automatic monitoring of pollution sources, in particular to an automatic monitoring data analysis and judgment system of pollution sources.
Background
Along with the improvement of environmental protection laws in China, pollution discharge of enterprises is added with pollution source automatic monitoring facilities, so that the purpose is to monitor the enterprises to strictly treat pollutants and ensure standard emission, monitoring factors of the pollution source automatic monitoring facilities comprise sulfur dioxide, nitrogen oxides, hydrogen chloride, carbon monoxide, nitrogen dioxide, particulate matters, oxygen, flue gas temperature, flue gas pressure, flue gas flow rate, flue gas humidity and standard dry flow, normal operation of the pollution source automatic monitoring facilities can represent real pollution discharge conditions of one enterprise, and data of analysis and judgment can be used for adapting to emission standards to prompt the enterprises to reach standards.
The Chinese patent discloses an automatic monitoring data analysis and judgment system for pollution sources, (grant bulletin No. CN 113655189A), and the technology (1) has excellent effect according to local conditions; (2) practice-based, method flexible; (3) accurate analysis result; (4) The system is easy to identify and alarm, but at present, market equipment models are different, data states and signal formats are disordered, so that monitoring data are unclear, monitoring information is directly sent to each level of environment-friendly platform without being processed, and out-of-standard information is revealed, so that the system is unfavorable for enterprise development. Therefore, a system for analyzing and judging pollution source automatic monitoring data is provided by a person skilled in the art to solve the problems in the background art.
Disclosure of Invention
The invention aims to provide an automatic pollution source monitoring data analysis and judgment system so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the automatic monitoring data analysis and judgment system for the pollution source comprises a temperature-pressure flow analyzer, a temperature analyzer, a gas analyzer, a temperature analyzer, a flow rate analyzer, a particulate matter analyzer, a first EM222 module, an EM231 module, a second EM222 module and a PLCCPD226 module in the system, wherein the analysis and judgment method comprises the following steps:
s1, system installation: inspecting the installation position, and installing a temperature-pressure flow analyzer, a temperature analyzer, a gas analyzer, a temperature analyzer, a flow rate analyzer and a particulate matter analyzer in the system to the monitoring position according to the condition of the monitoring area;
s2, electric control connection: the temperature and pressure flow analyzer, the temperature analyzer and the gas analyzer are respectively connected with the first EM222 module and the EM231 module, the temperature analyzer, the flow rate analyzer and the particle analyzer are respectively connected with the second EM222 module and the EM231 module, and the first EM222 module, the EM231 module and the second EM222 module are respectively connected with the PLCCPD226 module;
s3, data acquisition: the temperature and pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer and the particle analyzer are used for collecting data;
s4, data analysis: the method is as follows
S041, the warm-pressure flow analyzer processes acquired data, a calibration signal of the warm-pressure flow analyzer is marked as C, a maintenance signal of the warm-pressure flow analyzer is marked as M, a fault signal of the warm-pressure flow analyzer is marked as D, normal signals of the warm-pressure flow analyzer are respectively sent to a first EM222 module and an EM231 module, and when the warm-pressure flow analyzer is damaged and cannot work normally, the warm-pressure flow analyzer sends a shutdown signal;
s042, the temperature analyzer processes acquired data, a calibration signal of the temperature analyzer is marked as C, a maintenance signal of the temperature analyzer is marked as M, a fault signal of the temperature analyzer is marked as D, normal signals of the temperature analyzer are respectively sent to a first EM222 module and an EM231 module, and when the temperature analyzer is damaged and cannot work normally, the temperature analyzer sends a shutdown signal;
s043, the gas analyzer processes acquired data, a calibration signal of the gas analyzer is marked as C, a maintenance signal of the gas analyzer is marked as M, a fault signal of the gas analyzer is marked as D, normal signals of the gas analyzer are respectively sent to the first EM222 module and the EM231 module, and when the gas analyzer is damaged and cannot work normally, the gas analyzer sends a shutdown signal;
s044, the humidity analyzer processes acquired data, a calibration signal of the humidity analyzer is marked as C, a maintenance signal of the humidity analyzer is marked as M, a fault signal of the humidity analyzer is marked as D, normal signals of the humidity analyzer are respectively sent to the second EM222 module and the EM231 module, and when the humidity analyzer is damaged and cannot work normally, the humidity analyzer sends a shutdown signal;
s045, the flow rate analyzer processes acquired data, a calibration signal of the flow rate analyzer is marked as C, a maintenance signal of the flow rate analyzer is marked as M, a fault signal of the flow rate analyzer is marked as D, normal signals of the flow rate analyzer are respectively sent to a second EM222 module and an EM231 module, and when the flow rate analyzer is damaged and cannot work normally, the flow rate analyzer sends a shutdown signal;
s046, the particle analyzer processes the collected data, the calibration signal of the particle analyzer is marked as C, the maintenance signal of the particle analyzer is marked as M, the fault signal of the particle analyzer is marked as D, the normal signals of the particle analyzer are respectively sent to the second EM222 module and the EM231 module, and when the particle analyzer is damaged and can not work normally, the particle analyzer sends a shutdown signal;
s5, data integration: integrating the data in the S4, and trimming the corresponding marked data in the S4 by the first EM222 module and the second EM222 module to remove abnormal data;
s6, data encryption: importing the data integrated by the first EM222 module, the EM231 module and the second EM222 module into the PLCCPD226 module, arranging the data by the PLCCPD226 module, fine-tuning the data, correcting the size of the analysis data to enable the analysis data to meet the enterprise emission standard, and encrypting important information by an encryption program;
s7, uploading data: the PLCCPD226 module performs corresponding data identification, and sends the identified data to the data transmission device, and uploads the identified data to each level of environmental protection platform through the data transmission device.
As a further scheme of the invention: and in the step S1, the flow rate analyzer, the temperature analyzer and the temperature analyzer are all positioned at the inlet position of the pollution source output pipe, and the particle analyzer, the temperature-pressure flow analyzer and the gas analyzer are all positioned at the outlet position of the pollution source output pipe.
As still further aspects of the invention: and S3, monitoring the flow speed, pressure, temperature and flow of the flue gas by the medium temperature and pressure flow analyzer, and performing monitoring operation in a real-time mode.
As still further aspects of the invention: and S3, the gas analyzed by the gas analyzer comprises sulfur dioxide, oxynitride and oxygen, and the analysis content comprises content and concentration.
As still further aspects of the invention: and the analysis frequency of the S4 medium temperature pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer and the particle analyzer is 0.1S, the operation is stopped once every 10min, the operation stopping time is 30min, the inside of various analyzers is cleaned in the operation stopping process, and the accuracy of the next analysis is ensured.
As still further aspects of the invention: and when the PLCCPD226 module receives the shutdown signal, the pollution source automatic monitoring data analysis judging system stops running to remind overhaulers of overhauling when the S4 medium temperature pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer and the particulate matter analyzer analyze and send the shutdown signal respectively.
As still further aspects of the invention: and when the S4 medium temperature pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer and the particulate matter analyzer all transmit normal signals in analysis, data received by the first EM222 module, the EM231 module and the second EM222 module are transmitted into the PLCCPD226 module.
As still further aspects of the invention: in the step S5, the abnormal data is the data with the monitoring data larger than the set maximum value or smaller than the set minimum value, when the abnormal data occurs, the marked position of the abnormal data is not displayed, the maintainer is reminded to timely remove the abnormal problem, and the abnormal data is marked when the abnormal data is monitored again.
As still further aspects of the invention: and S6, the encrypted data is the data before the fine adjustment in the mark, and the non-encrypted data is the data after the fine adjustment in the mark.
Compared with the prior art, the invention has the beneficial effects that:
the pollution source automatic monitoring data analysis and judgment system collects all monitoring data signals by marking the data states and the signal formats, processes the signals in a targeted way, and distinguishes and stores each monitored data state, so that the data independent state marking is completed, the definition of the monitoring data is improved, the data is processed and selectively reported, intermediate equipment is skipped, and the data is prevented from being interfered by external factors due to direct data transmission;
the encryption processing is carried out on the program, an applicable case is opened up for environmental protection law enforcement inspection, and enterprises are urged to discharge after reaching standards.
Drawings
FIG. 1 is a block diagram of an automatic monitoring data analysis and judgment system for pollution sources.
Description of the embodiments
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, in an embodiment of the present invention, an automatic monitoring data analysis and judgment system for a pollution source includes a temperature and pressure flow analyzer, a temperature analyzer, a gas analyzer, a temperature analyzer, a flow rate analyzer, a particulate matter analyzer, a first EM222 module, an EM231 module, a second EM222 module, and a PLCCPD226 module, and the analysis and judgment method includes the following steps:
s1, system installation: inspecting the installation position, and installing a temperature-pressure flow analyzer, a temperature analyzer, a gas analyzer, a temperature analyzer, a flow rate analyzer and a particulate matter analyzer in the system to the monitoring position according to the condition of the monitoring area, wherein the flow rate analyzer, the temperature analyzer and the temperature analyzer are positioned at the inlet position of the pollution source output pipe, and the particulate matter analyzer, the temperature-pressure flow analyzer and the gas analyzer are positioned at the outlet position of the pollution source output pipe;
s2, electric control connection: the temperature and pressure flow analyzer, the temperature analyzer and the gas analyzer are respectively connected with the first EM222 module and the EM231 module, the temperature analyzer, the flow rate analyzer and the particle analyzer are respectively connected with the second EM222 module and the EM231 module, and the first EM222 module, the EM231 module and the second EM222 module are respectively connected with the PLCCPD226 module;
s3, data acquisition: the temperature-pressure flow analyzer monitors the flow rate, pressure, temperature and flow of the flue gas in a real-time mode, monitors and operates, and the gas analyzed by the gas analyzer comprises sulfur dioxide, oxynitride and oxygen, and the analysis content comprises content and concentration;
s4, data analysis: the method is as follows
S041, a warm-pressure flow analyzer processes acquired data, a calibration signal of the warm-pressure flow analyzer is marked as C, a maintenance signal of the warm-pressure flow analyzer is marked as M, a fault signal of the warm-pressure flow analyzer is marked as D, normal signals of the warm-pressure flow analyzer are respectively sent to a first EM222 module and an EM231 module, when the warm-pressure flow analyzer is damaged and cannot work normally, the warm-pressure flow analyzer sends a shutdown signal, the analysis frequencies of the warm-pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer and the particle analyzer are 0.1S, the temperature analyzer is shutdown once every 10min, the shutdown time is 30min, the interior of each analyzer is cleaned in the shutdown process, and the accuracy of the next analysis is ensured;
s042, the temperature analyzer processes acquired data, a calibration signal of the temperature analyzer is marked as C, a maintenance signal of the temperature analyzer is marked as M, a fault signal of the temperature analyzer is marked as D, normal signals of the temperature analyzer are respectively sent to a first EM222 module and an EM231 module, and when the temperature analyzer is damaged and cannot work normally, the temperature analyzer sends a shutdown signal;
s043, the gas analyzer processes acquired data, a calibration signal of the gas analyzer is marked as C, a maintenance signal of the gas analyzer is marked as M, a fault signal of the gas analyzer is marked as D, normal signals of the gas analyzer are respectively sent to the first EM222 module and the EM231 module, and when the gas analyzer is damaged and cannot work normally, the gas analyzer sends a shutdown signal;
s044, the humidity analyzer processes acquired data, a calibration signal of the humidity analyzer is marked as C, a maintenance signal of the humidity analyzer is marked as M, a fault signal of the humidity analyzer is marked as D, normal signals of the humidity analyzer are respectively sent to the second EM222 module and the EM231 module, and when the humidity analyzer is damaged and cannot work normally, the humidity analyzer sends a shutdown signal;
s045, the flow rate analyzer processes acquired data, a calibration signal of the flow rate analyzer is marked as C, a maintenance signal of the flow rate analyzer is marked as M, a fault signal of the flow rate analyzer is marked as D, normal signals of the flow rate analyzer are respectively sent to a second EM222 module and an EM231 module, and when the flow rate analyzer is damaged and cannot work normally, the flow rate analyzer sends a shutdown signal;
s046, the particle analyzer processes the collected data, the calibration signal of the particle analyzer is marked as C, the maintenance signal of the particle analyzer is marked as M, the fault signal of the particle analyzer is marked as D, the normal signals of the particle analyzer are respectively sent to the second EM222 module and the EM231 module, and when the particle analyzer is damaged and can not work normally, the particle analyzer sends a shutdown signal;
when the temperature-pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer and the particle analyzer analyze respectively to send shutdown signals, when the PLCCPD226 module receives the shutdown signals, the pollution source automatic monitoring data analysis judging system stops running to remind maintenance personnel to maintain, and when the temperature-pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer and the particle analyzer analyze respectively to send normal signals, the data received by the first EM222 module, the EM231 module and the second EM222 module are sent to the PLCCPD226 module;
s5, data integration: integrating the data in the step S4, trimming the corresponding marked data in the step S4 by the first EM222 module and the second EM222 module, removing abnormal data, wherein the abnormal data is the data with the monitored data being larger than the set maximum value or smaller than the set minimum value, when the abnormal data occurs, the marked position of the abnormal data is not displayed and reminds an maintainer to remove the abnormal problem in time, the abnormal data is marked when the abnormal data is monitored again, for example, the set maximum value of the monitored data of the temperature analyzer is 50 ℃, the set minimum value of the monitored data of the temperature analyzer is 20 ℃, when the monitored data of the temperature analyzer is 52 ℃, the data is judged to be abnormal, and the data is marked as abnormal;
s6, data encryption: introducing the data integrated by the first EM222 module, the EM231 module and the second EM222 module into the PLCCPD226 module, sorting the data by the PLCCPD226 module, performing fine adjustment of the data, correcting the size of the analysis data to enable the analysis data to meet the enterprise emission standard, performing encryption processing on important information through an encryption program, wherein the encrypted data are data before the fine adjustment in the mark, and the encrypted data are data after the fine adjustment in the mark, for example, the marking information is modified to a set value range from 52 ℃ according to the example in S5, for example, the original data are encrypted at 52 ℃ to 49 ℃, and the encrypted data are non-encrypted data at 49 ℃;
s7, uploading data: the PLCCPD226 module performs corresponding data identification, sends the data with the identification to the data transmission device, uploads the data to each level of environment-friendly platform through the data transmission device, for example, based on the examples in S5 and S6, sends the unencrypted data at 49 ℃ to the data transmission device, and uploads the data to each level of environment-friendly platform through the data transmission device.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (9)
1. The automatic monitoring data analysis and judgment system for the pollution source comprises a temperature-pressure flow analyzer, a temperature analyzer, a gas analyzer, a temperature analyzer, a flow rate analyzer, a particulate matter analyzer, a first EM222 module, an EM231 module, a second EM222 module and a PLCCPD226 module in the system, and is characterized in that the analysis and judgment method comprises the following steps:
s1, system installation: inspecting the installation position, and installing a temperature-pressure flow analyzer, a temperature analyzer, a gas analyzer, a temperature analyzer, a flow rate analyzer and a particulate matter analyzer in the system to the monitoring position according to the condition of the monitoring area;
s2, electric control connection: the temperature and pressure flow analyzer, the temperature analyzer and the gas analyzer are respectively connected with the first EM222 module and the EM231 module, the temperature analyzer, the flow rate analyzer and the particle analyzer are respectively connected with the second EM222 module and the EM231 module, and the first EM222 module, the EM231 module and the second EM222 module are respectively connected with the PLCCPD226 module;
s3, data acquisition: the temperature and pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer and the particle analyzer are used for collecting data;
s4, data analysis: the method is as follows
S041, the warm-pressure flow analyzer processes acquired data, a calibration signal of the warm-pressure flow analyzer is marked as C, a maintenance signal of the warm-pressure flow analyzer is marked as M, a fault signal of the warm-pressure flow analyzer is marked as D, normal signals of the warm-pressure flow analyzer are respectively sent to a first EM222 module and an EM231 module, and when the warm-pressure flow analyzer is damaged and cannot work normally, the warm-pressure flow analyzer sends a shutdown signal;
s042, the temperature analyzer processes acquired data, a calibration signal of the temperature analyzer is marked as C, a maintenance signal of the temperature analyzer is marked as M, a fault signal of the temperature analyzer is marked as D, normal signals of the temperature analyzer are respectively sent to a first EM222 module and an EM231 module, and when the temperature analyzer is damaged and cannot work normally, the temperature analyzer sends a shutdown signal;
s043, the gas analyzer processes acquired data, a calibration signal of the gas analyzer is marked as C, a maintenance signal of the gas analyzer is marked as M, a fault signal of the gas analyzer is marked as D, normal signals of the gas analyzer are respectively sent to the first EM222 module and the EM231 module, and when the gas analyzer is damaged and cannot work normally, the gas analyzer sends a shutdown signal;
s044, the humidity analyzer processes acquired data, a calibration signal of the humidity analyzer is marked as C, a maintenance signal of the humidity analyzer is marked as M, a fault signal of the humidity analyzer is marked as D, normal signals of the humidity analyzer are respectively sent to the second EM222 module and the EM231 module, and when the humidity analyzer is damaged and cannot work normally, the humidity analyzer sends a shutdown signal;
s045, the flow rate analyzer processes acquired data, a calibration signal of the flow rate analyzer is marked as C, a maintenance signal of the flow rate analyzer is marked as M, a fault signal of the flow rate analyzer is marked as D, normal signals of the flow rate analyzer are respectively sent to a second EM222 module and an EM231 module, and when the flow rate analyzer is damaged and cannot work normally, the flow rate analyzer sends a shutdown signal;
s046, the particle analyzer processes the collected data, the calibration signal of the particle analyzer is marked as C, the maintenance signal of the particle analyzer is marked as M, the fault signal of the particle analyzer is marked as D, the normal signals of the particle analyzer are respectively sent to the second EM222 module and the EM231 module, and when the particle analyzer is damaged and can not work normally, the particle analyzer sends a shutdown signal;
s5, data integration: integrating the data in the S4, and trimming the corresponding marked data in the S4 by the first EM222 module and the second EM222 module to remove abnormal data;
s6, data encryption: importing the data integrated by the first EM222 module, the EM231 module and the second EM222 module into the PLCCPD226 module, arranging the data by the PLCCPD226 module, fine-tuning the data, correcting the size of the analysis data to enable the analysis data to meet the enterprise emission standard, and encrypting important information by an encryption program;
s7, uploading data: the PLCCPD226 module performs corresponding data identification, and sends the identified data to the data transmission device, and uploads the identified data to each level of environmental protection platform through the data transmission device.
2. The system according to claim 1, wherein the flow rate analyzer, the temperature analyzer and the temperature analyzer in S1 are all located at the inlet position of the pollution source output pipe, and the particulate matter analyzer, the temperature pressure flow analyzer and the gas analyzer are all located at the outlet position of the pollution source output pipe.
3. The system according to claim 1, wherein the S3 medium temperature pressure flow analyzer monitors the flow rate, pressure, temperature and flow of the flue gas in real time.
4. The system according to claim 1, wherein the gas analyzed by the gas analyzer in S3 includes sulfur dioxide, oxynitride and oxygen, and the analysis content includes content and concentration.
5. The automatic monitoring data analysis and judgment system for the pollution source according to claim 1, wherein the analysis frequency of the medium temperature and pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer and the particle analyzer in the S4 is 0.1S, the operation is stopped once every 10min, the operation stopping time is 30min, the inside of each analyzer is cleaned in the operation stopping process, and the accuracy of the next analysis is ensured.
6. The system according to claim 1, wherein the S4 medium temperature pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer, and the particulate matter analyzer analyze and send the shutdown signal, and the PLCCPD226 module receives the shutdown signal, and the system is stopped to alert an maintainer to overhaul.
7. The system according to claim 1, wherein when the temperature and pressure flow analyzer, the temperature analyzer, the gas analyzer, the temperature analyzer, the flow rate analyzer, and the particulate matter analyzer all transmit normal signals, the data received by the first EM222 module, the EM231 module, and the second EM222 module are all transmitted to the PLCCPD226 module.
8. The system according to claim 1, wherein the abnormal data in S5 is data with the monitored data being greater than a set maximum value or less than a set minimum value, and when the abnormal data occurs, the marked position of the abnormal data is not displayed and reminds an maintainer to remove the abnormal problem in time, and the abnormal data is marked when the abnormal data is monitored again.
9. The system according to claim 1, wherein the encrypted data in S6 is pre-trimming data in the tag, and the encrypted data is non-post-trimming data in the tag.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117009771A (en) * | 2023-09-26 | 2023-11-07 | 中国环境科学研究院 | Water pollution degree detection method and system suitable for park city |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117009771A (en) * | 2023-09-26 | 2023-11-07 | 中国环境科学研究院 | Water pollution degree detection method and system suitable for park city |
| CN117009771B (en) * | 2023-09-26 | 2023-12-26 | 中国环境科学研究院 | Water pollution degree detection method and system suitable for park city |
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