LU504137B1 - Remote fault diagnosis system and method for flue gas discharge system - Google Patents
Remote fault diagnosis system and method for flue gas discharge system Download PDFInfo
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- LU504137B1 LU504137B1 LU504137A LU504137A LU504137B1 LU 504137 B1 LU504137 B1 LU 504137B1 LU 504137 A LU504137 A LU 504137A LU 504137 A LU504137 A LU 504137A LU 504137 B1 LU504137 B1 LU 504137B1
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 127
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 title claims abstract description 58
- 239000003546 flue gas Substances 0.000 title claims abstract description 58
- 238000000034 method Methods 0.000 title claims abstract description 12
- 239000000779 smoke Substances 0.000 claims description 46
- 239000000523 sample Substances 0.000 claims description 35
- 238000001514 detection method Methods 0.000 claims description 32
- 238000007726 management method Methods 0.000 claims description 31
- 238000004891 communication Methods 0.000 claims description 26
- 238000012544 monitoring process Methods 0.000 claims description 22
- 238000000738 capillary electrophoresis-mass spectrometry Methods 0.000 claims description 15
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000007781 pre-processing Methods 0.000 claims description 12
- 210000001550 testis Anatomy 0.000 claims description 12
- 238000012360 testing method Methods 0.000 claims description 9
- 239000000725 suspension Substances 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 5
- 238000013500 data storage Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 3
- 238000010792 warming Methods 0.000 claims description 3
- 239000000428 dust Substances 0.000 description 8
- 239000003344 environmental pollutant Substances 0.000 description 5
- 238000005259 measurement Methods 0.000 description 5
- 239000013618 particulate matter Substances 0.000 description 5
- 231100000719 pollutant Toxicity 0.000 description 5
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000003915 air pollution Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005250 beta ray Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention relates to the field of remote fault diagnosis, in particular to a system and a method for remote fault diagnosis of a flue gas discharge system; And the data acquisition unit is used for acquiring the flue gas emission data of the equipment to be tested, and is used for solving the technical problem of low accuracy in the prior art that the state of the equipment to be tested is judged only by the concentration and the emission amount.
Description
Remote fault diagnosis system and method for flue gas discharge systerh”>%*'%
The invention relates to the field of remote fault diagnosis, in particular to a system and a method for remote fault diagnosis of a flue gas emission system.
Background technology
According to the national environmental protection regulation, each unit of thermal power plant must be equipped with independent flue gas emission monitoring equipment (CEMS) and data acquisition and transmission system.CEMSContinuous Emission
Monitoring System is the abbreviation of Continuous Emission Monitoring System. Air pollution sourcesDischargedGaseous pollutantsThe device that continuously monitors the concentration and total emission of particulate matter and transmits the information to the competent authorities in real time is called "automatic flue gas monitoring system", also known as "Continuous emission monitoring system"Or" Flue Gas On-line Monitoring
System ".
CEMS is composed of gaseous pollutant monitoring subsystem, particulate matter monitoring subsystem, flue gas parameter monitoring subsystem and data acquisition, processing and communication subsystem. The gaseous pollutant monitoring subsystem is mainly used for monitoring gaseous pollutants. SO2, NOxConcentration and total emission of etc.; The particulate matter monitoring subsystem is mainly used to monitor the concentration and total emission of smoke and dust; Flue gas parameter monitoring subsystem is mainly used to measure flue gas flow rate, flue gas temperature, flue gas pressure, oxygen content in flue gas, and flue gas humidity, etc., and is used to calculate the total emission amount and convert the relevant concentration; The data acquisition, processing and communication subsystem is composed of a data collector and a computer system, which collects various parameters in real time, generates dry basis, wet basis and converted concentration corresponding to each concentration value, generates daily, monthly and annual cumulative emissions, completes the compensation of lost data and transmits the report to the competent department in real time. Smoke and dust measurement has been developed from cross-flue opacity dust meter and beta ray dust meter to insertion backscattering infrared or laser dust meter and front and back dust meters. Scatter, side scatter, electric dust meter, etc. According to different sampling methods, CEMS can be divided into direct measurement, extraction measurement and remote sensing measurement.
With the increasing supervision of pollution source enterprises, higher requirements are put forward for the reliability of the data uploaded by the flue gas emission monitoring system (CEMS). Due to the variety of data stored in the flue gas emission system and tHdJ504137 disorder of equipment parameters, the accuracy of judging the failure of the equipment to be tested only by exceeding the emission concentration and emission standard is relatively low, and the comprehensive judgment of the equipment to be tested can not be carried out through a variety of data obtained by CEMS, and the abnormal equipment can not be found in time. Damage to the corporate image.
The invention provides a remote fault diagnosis system and a remote fault diagnosis method for a flue gas emission system, which are used for solving the technical problem of low accuracy in the prior art due to the fact that the state of equipment to be detected is judged only through concentration and emission. The system comprises a data acquisition unit, a detection probe device, a remote real-time management platform and a remote data storage center, wherein a data acquisition terminal, the detection probe device and the remote data storage center are all connected with the remote real-time management platform through wireless communication modules, and the wireless communication modules comprise a first wireless communication module and a second wireless communication module;
The data acquisition unit is used for acquiring the smoke emission data of the equipment to be tested and sending the smoke emission data to the remote real-time management platform;
The detection probe device is used for judging the state of the equipment to be detected and transmitting the state to the remote real-time management platform;
The remote real-time management platform comprises a monitoring module, a diagnosis module and an early warning module;
The monitor module is used for provide real-time visual monitoring service for that equipment to be tested;
The diagnosis module is used for diagnosing the operation state of the equipment to be tested according to the collected smoke emission data of the equipment to be tested and generating a diagnosis resu <;
The early warning module is used for sending early warning signals of different degrees according to the diagnosis result of the diagnosis module;
And that remote data storage cent is used for store the equipment state information and the fault diagnosis result.
In the embodiment of the present application, the data acquisition unit further comprises a CEMS device, the CEMS device is used for acquiring the smoke emission data of the device to be tested, and the first wireless communication module sends the acquirdd/504137 smoke emission data to the remote real-time management platform.
In the embodiment of the present application, the detection probe device is used to judge the state of the device to be tested, and the second wireless communication module sends the running state of the device to be tested to the remote real-time management platform.
In an embodiment of the present application, the diagnostic module is configured to:
Obtaining flue gas emission data within a preset period of time, and preprocessing the flue gas emission data, wherein the preprocessing specifically comprises the following steps of: performing normalization processing on the flue gas emissions data, setting a weight, taking a weighted average value of the weight to form a comprehensive data index, and performing data diagnosis after determining the comprehensive data index, wherein the data diagnosis specifically comprises the following steps:
The comprehensive data index threshold value comprises a first comprehensive data index threshold value, a second comprehensive data indicator threshold value and a third comprehensive data indicator threshold value which are determined according to historical comprehensive data, A2 is a second comprehensive data index threshold, A3 is a third comprehensive data index threshold, and A1 < A2 < A3;
When the smoke emission data a is less than the first comprehensive data index threshold Al, and a is less than Al, the diagnosis result is that the equipment to be tested is in normal operation;
When the smoke emission data a is between the first comprehensive data index threshold Al and the second comprehensive data index threshold A2, and Al <a < A2, the diagnosis result is critical operation of the equipment to be tested;
When the smoke emission data a is between the second comprehensive data index threshold A2 and the third comprehensive data index threshold A3, and A2 < a < A3, the diagnosis result is that the equipment to be tested is suspended;
When the smoke emission data a is greater than the third comprehensive data index threshold A3, and a is greater than A3, the diagnosis result is that the equipment to be tested 1s out of control;
The normal operation of that equipment to be teste in the diagnosis result indicates that the state of the equipment to be teste is normal, and the critical operation of the equipment to be tested, the suspension of the operation of the device to be tested, and the out-of-control of the device to be tested all indicate that the state of the apparatus to be test 1s abnormal.
In the embodiment of the invention, the diagnosis result is matched with the state 68504137 the equipment to be detected determined by the detection probe device, if the diagnosis result is matched with the state of the equipment to be detected determined by the detection probe device, the diagnosis result can be sent to an early warning module, and if the diagnosis is not matched, a diagnosis can be carried out again by a diagnosis module.
In the embodiment of the present application, the early warning module is configured to send early warning signals of different degrees according to the diagnosis result, specifically:
When the diagnosis result is that the equipment to be tested runs critically, the early warning module sends secondary early warning information, when the diagnosis result is that the equipment to be tested suspends running, the early warning module sends important early warning information; and when the diagnosis resu < and the device to be tested is out of control, the early warming module sends emergency early warning information.
In the embodiment of the present application, the remote real-time management platform uploads the flue gas emission data collected by the CEMS equipment and the state information of the equipment to be tested collected by the probe device through an established network, and displays the state of the equipment to be tested by using a database and a graphic information technology.
In the embodiment of the present application, the remote data storage center stores the fault diagnosis result, and when the same data appears, the corresponding diagnosis result is directly retrieved from the remote data storage center.
The embodiment of the present application also provides a remote fault diagnosis method for a flue gas emission system, which comprises the following steps: 1, acquiring smoke emission data of equipment to be tested, and sending the data to a remote real-time platform through a wireless communication module; 2, that detection probe device diagnose the state of the equipment to be detected in real time, and transmit the state of the equipment to be detected to a remote real-time management platform; 3, acquiring flue gas emission data within a preset period of time through a data acquisition unit, and preprocessing the flue gas emission data, wherein the preprocessing specifically comprises the following steps of: normalizing the flue gas emissions data, setting a weight, taking a weighted average value of the weight to form a comprehensive data index, and determining the operation state of the equipment to be detected by judging the comprehensive data index;
And 4, matching the diagnosis result with the state of the equipment to be detected determined by the detection probe device, determining the fault state of the equipment to B&/504137 detected after matching, and if not, repeating the step 3.
In the embodiment of the present application, the third step specifically comprises:
The comprehensive data index threshold value comprises a first comprehensive data 5 index threshold value, a second comprehensive data indicator threshold value and a third comprehensive data indicator threshold value which are determined according to historical comprehensive data, A2 is a second comprehensive data index threshold, A3 is a third comprehensive data index threshold, and A1 < A2 < A3;
When the smoke emission data a is less than the first comprehensive data index threshold Al, and a is less than Al, the diagnosis result is that the equipment to be tested is in normal operation;
When the smoke emission data a is between the first comprehensive data index threshold Al and the second comprehensive data index threshold A2, and Al <a < A2, the diagnosis result is critical operation of the equipment to be tested;
When the smoke emission data a is between the second comprehensive data index threshold A2 and the third comprehensive data index threshold A3, and A2 < a < A3, the diagnosis result is that the equipment to be tested is suspended;
When the smoke emission data a is greater than the third comprehensive data index threshold A3, and a is greater than A3, the diagnosis result is that the equipment to be tested 1s out of control;
The normal operation of that equipment to be teste in the diagnosis result indicates that the state of the equipment to be teste is normal, and the critical operation of the equipment to be tested, the suspension of the operation of the device to be tested, and the out-of-control of the device to be tested all indicate that the state of the apparatus to be test 1s abnormal.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
The invention provides a remote fault diagnosis system for a flue gas emission system, which is characterized by comprising a data acquisition unit, a detection probe device, a remote real-time management platform and a remote data storage center, wherein a data acquisition terminal, The wireless communication module comprises a first wireless communication module and a second wireless communication module, the data acquisition unit is used for acquiring the flue gas emission data of the equipment to be tested and transmitting the flue gas emission data to the remote real-time management platform, the detection probe device is used for judging the state of the equipment to be tested and transmitting the state to the remote real-time management platform which comprises LA}504137 monitoring module, a diagnosis module and an early warning module; The monitor module is used for provide a real-time visual monitoring service for that equipment to be tested, the diagnosis module is used for diagnose the operation state of the equipment to be tested according to the collected smoke emission data of the equipment to be detected and generating a diagnosis result, the early warning module is use for sending early warning signals of different degrees according to the diagnosis result of the diagnosis module, and the early warning module is also used for sending early warning signals of different degrees according to different levels; And that remote data storage cent is used for store the equipment state information and the fault diagnosis result. Accord to that system, the data acquisition unit and the detection probe device are arranged, a remote real-time management platform is use for diagnosing flue gas emission data, and the abnormal state of equipment to be detected in a diagnosis result is matched with the abnormal state of the equipment determine in the detection probe device, To solve the problem of low accuracy, comprehensive judgment of the equipment to be tested can be made through a variety of data obtained by CEMS, and equipment abnormalities can be found in time.
Description of attached figures
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative work.
Brief description of the drawings fig. 1 is a schematic diagram of a remote fault diagnosis system for a flue gas emission system according to an embodiment of the present invention;
Fig. 2 is a schematic flow chart of a remote fault diagnosis method for a flue gas exhaust system according to an embodiment of the present application.
Embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples illustrate the invention but are not intended to limit the scope of the invention.
In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", and "rear", left "and" right ", vertical" and "horizontal", top and bottom, inner and outer are based on the orientation or positional relationship shown in the drawings, which are only for convenience of description of the present application and simplification of description. It is not intended &/504137 indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operate in a particular orientation, and therefore should not be construed as limiting the application.
The terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or as implying the number of technical features indicated. Thus, the features defined as "first" or "second" may be explicitly or implicitly defined as including one or more of the features. In the description of the present application, "a plurality" means two or more unless otherwise specified.
As shown in fig. 1, a remote fault diagnosis system for a flue gas emission system according to the embodiment of the present invention comprises a data acquisition unit, a detection probe device, a remote real-time management platform and a remote data storage center, wherein the data acquisition terminal, the detection probe device and the remote data center are all connected with the remote real-time management platform through a wireless communication module; The wireless communication module comprises a first wireless communication module and a second wireless communication module;
The data acquisition unit is used for acquiring the smoke emission data of the equipment to be tested and sending the smoke emission data to the remote real-time management platform;
The detection probe device is used for judging the state of the equipment to be detected and transmitting the state to the remote real-time management platform;
The remote real-time management platform comprises a monitoring module, a diagnosis module and an early warning module;
The monitor module is used for provide real-time visual monitoring service for that equipment to be tested;
The diagnosis module is used for diagnosing the operation state of the equipment to be tested according to the collected smoke emission data of the equipment to be tested and generating a diagnosis resu <;
The early warning module is used for sending early warning signals of different degrees according to the diagnosis result of the diagnosis module;
And that remote data storage cent is used for store the equipment state information and the fault diagnosis result.
In the embodiment of the present application, the data acquisition unit further comprises a CEMS device, the CEMS device is used for acquiring the smoke emission data of the device to be tested, and the first wireless communication module sends the acquired smoke emission data to the remote real-time management platform. LUS04137
In the embodiment of the present application, the detection probe device is used to judge the state of the device to be tested, and the second wireless communication module sends the running state of the device to be tested to the remote real-time management platform.
In an embodiment of the present application, the diagnostic module is configured to:
Obtaining flue gas emission data within a preset period of time, and preprocessing the flue gas emission data, wherein the preprocessing specifically comprises the following steps of: performing normalization processing on the flue gas emissions data, setting a weight, taking a weighted average value of the weight to form a comprehensive data index, and performing data diagnosis after determining the comprehensive data index, wherein the data diagnosis specifically comprises the following steps:
The comprehensive data index threshold value comprises a first comprehensive data index threshold value, a second comprehensive data indicator threshold value and a third comprehensive data indicator threshold value which are determined according to historical comprehensive data, A2 is a second comprehensive data index threshold, A3 is a third comprehensive data index threshold, and A1 < A2 < A3;
When the smoke emission data a is less than the first comprehensive data index threshold A1, and a is less than Al, the diagnosis result is that the equipment to be tested is in normal operation;
When the smoke emission data a is between the first comprehensive data index threshold Al and the second comprehensive data index threshold A2, and Al <a < A2, the diagnosis result is critical operation of the equipment to be tested;
When the smoke emission data a is between the second comprehensive data index threshold A2 and the third comprehensive data index threshold A3, and A2 < a < A3, the diagnosis result is that the equipment to be tested is suspended;
When the smoke emission data a is greater than the third comprehensive data index threshold A3, and a is greater than A3, the diagnosis result is that the equipment to be tested is out of control;
The normal operation of that equipment to be teste in the diagnosis result indicates that the state of the equipment to be teste is normal, and the critical operation of the equipment to be tested, the suspension of the operation of the device to be tested, and the out-of-control of the device to be tested all indicate that the state of the apparatus to be test is abnormal.
In this embodiment, the flue gas emission data specifically includes gaseous pollutants,
particulate matter, and flue gas parameters, and the gaseous pollutants mainly includ&/504137 gaseous pollutantsSO2 , NOxConcentration and total emission of etc.; Particulate matter mainly includes the concentration and total emission of smoke and dust; Flue gas parameters mainly include the measurement of flue gas flow rate, flue gas temperature, flue gas pressure, oxygen content in flue gas, and flue gas humidity.
In the embodiment of the invention, the diagnosis result is matched with the state of the equipment to be detected determined by the detection probe device, if the diagnosis result is matched with the state of the equipment to be detected determined by the detection probe device, the diagnosis result can be sent to an early warning module, and if the diagnosis is not matched, a diagnosis can be carried out again by a diagnosis module.
In the embodiment of the present application, the early warning module is configured to send early warning signals of different degrees according to the diagnosis result, specifically:
When the diagnosis result is that the equipment to be tested runs critically, the early warning module sends secondary early warning information, when the diagnosis result is that the equipment to be tested suspends running, the early warning module sends important early warning information; and when the diagnosis resu < and the device to be tested is out of control, the early warming module sends emergency early warning information.
In this embodiment, the critical operation of the equipment to be tested is about to change into the shutdown state but has not yet changed into the shutdown state, the suspension of the operation of the equipment to be tested is the shutdown state, and the out-of-control of the equipment is the state requiring forced shutdown.
In the embodiment of the present application, the remote real-time management platform uploads the flue gas emission data collected by the CEMS equipment and the state information of the equipment to be tested collected by the probe device through an established network, and displays the state of the equipment to be tested by using a database and a graphic information technology.
In the embodiment of the present application, the remote data storage center stores the fault diagnosis result, and when the same data appears, the corresponding diagnosis result is directly retrieved from the remote data storage center.
Those skilled in the art can understand that the modules in the system implementing the scenario can be distributed in the system implementing the scenario according to the description of the implementation scenario, and can also be located in one or more systems different from the implementation scenario with corresponding changes. The modules of the above implementation scenarios can be combined into one module, and can also B&J504137 further split into multiple sub-modules.
The embodiment of the present application also provides a remote fault diagnosis method for a flue gas emission system, which comprises the following steps: 1, acquiring smoke emission data of equipment to be tested, and sending the data to a remote real-time platform through a wireless communication module; 2, that detection probe device diagnose the state of the equipment to be detected in real time, and transmit the state of the equipment to be detected to a remote real-time management platform; 3, acquiring flue gas emission data within a preset period of time through a data acquisition unit, and preprocessing the flue gas emission data, wherein the preprocessing specifically comprises the following steps of: normalizing the flue gas emissions data, setting a weight, taking a weighted average value of the weight to form a comprehensive data index, and determining the operation state of the equipment to be detected by judging the comprehensive data index;
And 4, matching the diagnosis result with the state of the equipment to be detected determined by the detection probe device, determining the fault state of the equipment to be detected after matching, and if not, repeating the step 3.
In this embodiment, the matching conditions include the following possibilities: 1, When the diagnosis result is in a normal state and the state of the equipment to be detected determined by the detection probe device is normal, the two are matched; 2, When the diagnosis result is in an abnormal state and the state of the equipment to be detected determined by the detection probe device is abnormal, the two are matched, 3. When the diagnosis result is in a normal state and the state of the equipment to be detected determined by the detection probe device is abnormal, the two are not matched; 4, When the diagnosis result is abnormal and the state of the equipment to be tested determined by the detection probe device is normal, the two are not matched.
In the embodiment of the present application, the third step specifically comprises:
The comprehensive data index threshold value comprises a first comprehensive data index threshold value, a second comprehensive data indicator threshold value and a third comprehensive data indicator threshold value which are determined according to historical comprehensive data, A2 is a second comprehensive data index threshold, A3 is a third comprehensive data index threshold, and A1 < A2 < A3;
When the smoke emission data a is less than the first comprehensive data index threshold A1, and a is less than A1, the diagnosis result is that the equipment to be tested 4504137 in normal operation;
When the smoke emission data a is between the first comprehensive data index threshold A1 and the second comprehensive data index threshold A2, and A1 < a < A2, the diagnosis result 1s critical operation of the equipment to be tested;
When the smoke emission data a is between the second comprehensive data index threshold A2 and the third comprehensive data index threshold A3, and A2 < a < A3, the diagnosis result is that the equipment to be tested is suspended;
When the smoke emission data a is greater than the third comprehensive data index threshold A3, and a is greater than A3, the diagnosis result is that the equipment to be tested is out of control;
The normal operation of that equipment to be teste in the diagnosis result indicates that the state of the equipment to be teste is normal, and the critical operation of the equipment to be tested, the suspension of the operation of the device to be tested, and the out-of-control of the device to be tested all indicate that the state of the apparatus to be test is abnormal.
Through the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented by hardware, and can also be implemented by means of software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a U disk, a mobile hard disk, etc.), and comprises a plurality of instructions to enable a computer device (which can be a personal computer, a server, Or a network device, etc.) To perform the methods described in various implementation scenarios of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that the technical solutions described in the foregoing embodiments can still be modified, or some of the technical features thereof can be equivalently replaced; These modifications or substitutions do not drive the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. À remote fault diagnosis system for a flue gas exhaust system, comprising: a data acquisition unit, a detection probe device, a remote real-time management platform and a remote data storage center, wherein the data acquisition terminal, the detection probe device and the remote data storage center are all connected with the remote real-time management platform through wireless communication modules; each wireless communication module comprises a first wireless communication module and a second wireless communication module; the data acquisition unit is used for acquiring the smoke emission data of the equipment to be tested and sending the smoke emission data to the remote real-time management platform; the detection probe device is used for judging the state of the equipment to be detected and transmitting the state to the remote real-time management platform; the remote real-time management platform comprises a monitoring module, a diagnosis module and an early warning module; the monitor module is used for provide real-time visual monitoring service for that equipment to be tested; the diagnosis module is used for diagnosing the operation state of the equipment to be tested according to the collected smoke emission data of the equipment to be tested and generating a diagnosis result; the early warning module is used for sending early warning signals of different degrees according to the diagnosis result of the diagnosis module; and that remote data storage cent is used for store the equipment state information and the fault diagnosis result.
2. The remote fault diagnosis system according to claim 1, wherein the data acquisition unit further comprises a CEMS device, the CEMS device is configured to acquire smoke emission data of the device under test, and the first wireless communication module sends the acquired smoke emission data to the remote real-time management platform.
3. The remote fault diagnosis system according to claim 1, wherein the detection probe device is used for judging the state of the device under test, and the second wireless communication module sends the running state of the device under test to the remote real-time management platform.
4. The remote fault diagnosis system according to claim 1, wherein the diagnost4/504137 module is configured to: obtaining flue gas emission data within a preset period of time, and preprocessing the flue gas emission data, wherein the preprocessing specifically comprises the following steps of: performing normalization processing on the flue gas emissions data, setting a weight, taking a weighted average value of the weight to form a comprehensive data index, and performing data diagnosis after determining the comprehensive data index, wherein the data diagnosis specifically comprises the following steps: the comprehensive data index threshold value comprises a first comprehensive data index threshold value, a second comprehensive data indicator threshold value and a third comprehensive data indicator threshold value which are determined according to historical comprehensive data, A2 is a second comprehensive data index threshold, A3 is a third comprehensive data index threshold, and A1 < A2 < A3; when the smoke emission data a is less than the first comprehensive data index threshold Al, and a is less than Al, the diagnosis result is that the equipment to be tested is in normal operation; when the smoke emission data a is between the first comprehensive data index threshold Al and the second comprehensive data index threshold A2, and Al <a < A2, the diagnosis result is critical operation of the equipment to be tested; when the smoke emission data a is between the second comprehensive data index threshold A2 and the third comprehensive data index threshold A3, and A2 < a < A3, the diagnosis result is that the equipment to be tested is suspended; when the smoke emission data a is greater than the third comprehensive data index threshold A3, and a is greater than A3, the diagnosis result is that the equipment to be tested 1s out of control; the normal operation of that equipment to be teste in the diagnosis result indicates that the state of the equipment to be teste is normal, and the critical operation of the equipment to be tested, the suspension of the operation of the device to be tested, and the out-of-control of the device to be tested all indicate that the state of the apparatus to be test is abnormal.
5. The remote fault diagnosis system according to claim 4, wherein the diagnosis result is matched with the state of the device to be detected determined by the detection probe device, if the diagnosis result is matched with the state of the device to be detected determined by the detection probe device, the diagnosis result will be sent to the early warning module, and if not, the diagnosis will be performed again by the diagnosis module.
6. The remote fault diagnosis system according to claim 5, wherein the early warnig/504137 module is configured to send early warning signals of different degrees according to the diagnosis result, and specifically comprises: when the diagnosis result is that the equipment to be tested runs critically, the early warning module sends secondary early warning information, when the diagnosis result is that the equipment to be tested suspends running, the early warning module sends important early warning information; and when the diagnosis resu < and the device to be tested is out of control, the early warming module sends emergency early warning information.
7. The remote fault diagnosis system according to claim 1, wherein the remote real-time management platform uploads the flue gas emission data collected by the CEMS device and the status information of the equipment to be tested collected by the probe device through the established network, and displays the status of the equipment to be tested by using a database and a graphic information technology.
8. The remote fault diagnosis system according to claim 5, wherein the remote data storage center stores the fault diagnosis result, and when the same data appears, the remote data storage center directly retrieves the corresponding diagnosis result.
9. A remote fault diagnosis method for a flue gas emission system, comprising the following steps: 1, acquiring smoke emission data of equipment to be tested, and sending the data to a remote real-time platform through a wireless communication module; 2, that detection probe device diagnose the state of the equipment to be detected in real time, and transmit the state of the equipment to be detected to a remote real-time management platform; 3, acquiring flue gas emission data within a preset period of time through a data acquisition unit, and preprocessing the flue gas emission data, wherein the preprocessing specifically comprises the following steps of: normalizing the flue gas emissions data, setting a weight, taking a weighted average value of the weight to form a comprehensive data index, and determining the operation state of the equipment to be detected by judging the comprehensive data index; and 4, matching the diagnosis result with the state of the equipment to be detected determined by the detection probe device, determining the fault state of the equipment to be detected after matching, and if not, repeating the step 3.
10. The remote fault diagnosis method according to claim 9, wherein the third step comprises: the comprehensive data index threshold value comprises a first comprehensive data index threshold value, a second comprehensive data indicator threshold value and a thit€}504137 comprehensive data indicator threshold value which are determined according to historical comprehensive data, A2 is a second comprehensive data index threshold, A3 is a third comprehensive data index threshold, and A1 < A2 < A3;
when the smoke emission data a is less than the first comprehensive data index threshold A1, and a is less than Al, the diagnosis result is that the equipment to be tested is in normal operation;
when the smoke emission data a is between the first comprehensive data index threshold Al and the second comprehensive data index threshold A2, and Al <a < A2, the diagnosis result is critical operation of the equipment to be tested; when the smoke emission data a is between the second comprehensive data index threshold A2 and the third comprehensive data index threshold A3, and A2 < a < A3, the diagnosis result is that the equipment to be tested is suspended; When the smoke emission data a is greater than the third comprehensive data index threshold A3, and a is greater than A3, the diagnosis result is that the equipment to be tested is out of control; the normal operation of that equipment to be teste in the diagnosis result indicates that the state of the equipment to be teste is normal, and the critical operation of the equipment to be tested, the suspension of the operation of the device to be tested, and the out-of-control of the device to be tested all indicate that the state of the apparatus to be test is abnormal.
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