CN117745273A - Integrated platform for collecting, analyzing and managing health data of electrical tar precipitator - Google Patents
Integrated platform for collecting, analyzing and managing health data of electrical tar precipitator Download PDFInfo
- Publication number
- CN117745273A CN117745273A CN202410167146.9A CN202410167146A CN117745273A CN 117745273 A CN117745273 A CN 117745273A CN 202410167146 A CN202410167146 A CN 202410167146A CN 117745273 A CN117745273 A CN 117745273A
- Authority
- CN
- China
- Prior art keywords
- health
- monitoring
- health monitoring
- tar
- equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000036541 health Effects 0.000 title claims abstract description 329
- 239000012716 precipitator Substances 0.000 title claims abstract description 71
- 238000012544 monitoring process Methods 0.000 claims abstract description 238
- 238000012806 monitoring device Methods 0.000 claims abstract description 81
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000012423 maintenance Methods 0.000 claims abstract description 15
- 230000008859 change Effects 0.000 claims description 24
- 239000000470 constituent Substances 0.000 claims description 12
- 238000012937 correction Methods 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 8
- 238000012163 sequencing technique Methods 0.000 claims description 7
- 101100272279 Beauveria bassiana Beas gene Proteins 0.000 claims description 4
- 230000003862 health status Effects 0.000 claims description 3
- 230000002452 interceptive effect Effects 0.000 claims description 3
- 238000000926 separation method Methods 0.000 claims 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 1
- 239000007789 gas Substances 0.000 description 10
- 230000005684 electric field Effects 0.000 description 8
- 239000002245 particle Substances 0.000 description 5
- 230000007613 environmental effect Effects 0.000 description 4
- 238000000746 purification Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 239000013618 particulate matter Substances 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 239000002440 industrial waste Substances 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003292 diminished effect Effects 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Landscapes
- Electrostatic Separation (AREA)
- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
The invention belongs to the technical field of equipment health management, and particularly discloses an integrated platform for collecting, analyzing and managing health data of an electrical tar precipitator, which comprises the following components: the system comprises an operation data acquisition module, a health data acquisition module, a device monitoring analysis module, a device calibration processing module, a device health analysis module and a device analysis feedback terminal. According to the invention, the monitoring accuracy analysis is carried out according to the operation data of each operation of the electric tar precipitator and the health monitoring data of each health monitoring device arranged, so that the calibration processing is carried out on the health monitoring devices, meanwhile, the health state analysis of the electric tar precipitator is carried out according to the analysis result, and the health index is output, so that the problem that the accuracy of the corresponding monitoring data of the health monitoring devices is not considered at present is effectively solved, the credibility and the referential performance of the health monitoring data of the subsequent electric tar precipitator are ensured, and the pertinence, the reliability and the effectiveness of the health maintenance of the subsequent electric tar precipitator are further improved.
Description
Technical Field
The invention belongs to the technical field of equipment health management, and relates to an integrated platform for collecting, analyzing and managing health data of an electrical tar precipitator.
Background
With the increase of environmental protection consciousness and the enhancement of environmental regulations, the treatment requirements on industrial waste gas are more and more strict. The electric tar precipitator is used as equipment for purifying tar and particulate matters in industrial waste gas, and the health data of the electric tar precipitator can be monitored and managed to improve the operation efficiency and safety of the equipment.
At present, the health data acquisition, analysis and management of the electrical tar precipitator are mainly carried out by carrying out data monitoring on health monitoring equipment arranged on the electrical tar precipitator, so that health assessment and health maintenance of the electrical tar precipitator are carried out, and obviously, the health maintenance management of the current electrical tar precipitator has the following defects: 1. the accuracy of the monitoring data of the health monitoring equipment is not considered, so that the pertinence of the health maintenance of the follow-up electrical tar precipitator is insufficient, the reliability and the effectiveness of the health maintenance of the follow-up electrical tar precipitator cannot be guaranteed, and the purification effect and the purification rate of the electrical tar precipitator cannot be ensured.
2. The health management of the electric tar precipitator is not timely enough, the state of the electric tar precipitator corresponding to the health detection equipment is not monitored and analyzed at present, the authenticity and the referential property of the electric tar precipitator corresponding to the monitoring data of the health detection equipment can not be ensured, and the abnormal health state of the electric tar precipitator can not be timely perceived.
3. The electrical tar precipitator is not reasonable in health management, and is mainly subjected to health analysis according to monitoring data of health monitoring equipment at present, comprehensive analysis is not performed from multiple dimensions, and feasibility of making a subsequent health maintenance mode cannot be ensured.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, an integrated platform for collecting, analyzing and managing health data of an electrical tar precipitator is proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides an integrated platform for collecting, analyzing and managing health data of an electrical tar precipitator, which comprises the following components: and the operation data acquisition module is used for recording the electrical tar precipitator as target equipment and acquiring the accumulated operation time of the target equipment and the recording date and operation data of each operation.
And the health data acquisition module is used for acquiring health data through each health monitoring device arranged on the target device to obtain health monitoring data of each health monitoring device.
The equipment monitoring analysis module is used for carrying out monitoring accuracy analysis on each health monitoring equipment according to the health monitoring data of each health monitoring equipment and the operation data of the target equipment in each operation, and outputting the current monitoring accuracy of each health monitoring equipment.
The equipment calibration processing module is used for calibrating each health monitoring equipment according to the current monitoring accuracy of each health monitoring equipment, wherein the calibration is one of accuracy and distortion, the health monitoring equipment calibrated as distortion is used as distortion equipment, and the distortion equipment is analyzed to obtain a processing scheme of the distortion equipment.
And the equipment health analysis module is used for analyzing the health state of the target equipment according to the operation data of the target equipment in each operation and the current monitoring precision and calibration of each health monitoring equipment and outputting the health index of the target equipment.
And the equipment analysis feedback terminal is used for feeding back the health index feedback of the target equipment and the processing scheme of the distortion equipment to the operation and maintenance manager of the target equipment.
Preferably, the monitoring accuracy analysis for each health monitoring device includes: and taking the recording date with the shortest interval day between the current dates as a target recording date, and taking the operation data corresponding to the target recording date as target operation data.
Tar concentrations monitored from the target operation data to the air inlet and the air outlet are respectively positionedAndsimultaneously locating the inlet ports monitored at various operating time pointsTemperature, humidity, flow rate and pressure, and recording the accumulated operation time of the target equipment asAccordingly, the current tar trapping correction efficiency is set。
Positioning health monitoring data of a target record date from the health monitoring data of each health monitoring device, and counting the current corresponding indication health fitness of each health monitoring device，Indicating the number of the health monitoring device,。
will beAs the current monitoring accuracy of each health monitoring device, and is recorded as，Indicating the health fitness corresponding to the reference tar capturing efficiency for the set unit,tar trapping efficiency for setting the reference was poor.
Preferably, the setting the current tar trapping correction efficiency includes: the temperature of the air inlet monitored at each operating time point is recorded as，Represents the run time point number, t=1, 2,..,statistics of the interference degree of the current tar trapping temperature，，In order to set the allowable temperature limit difference,the tar trapping temperature is suitable for setting the electric tar precipitator.
The temperature of the air inlet monitored at each operating time point is recorded asStatistics of the current tar trapping humidity interference degree，，The tar trap is suitable for setting the tar trapping humidity.
The flow and pressure monitored by the air inlet at each operation time point are respectively recorded asAndand according toThe current tar trapping flow interference degree is obtained by the same statistics of the statistical mode of the tar trapping flowAnd current tar trapping pressure disturbanceAccordingly, the current tar trapping efficiency interference factor is set。
Setting current tar trapping correction efficiency，，The tar trapping efficiency is correspondingly compensated for the set unit tar trapping efficiency interference factor,correspondingly increasing the compensation tar trapping efficiency for the set unit accumulated exceeding operation time difference,to set a reference interfering tar trapping run length.
Preferably, the specific setting formula of the current tar capturing efficiency interference factor is as follows:，、、、the tar trapping temperature disturbance degree, the tar trapping humidity disturbance degree, the tar trapping pressure disturbance degree and the tar trapping flow disturbance degree are respectively set as references.
Preferably, the counting the current correspondence of each health monitoring device indicates health fitness, including: from the object of each health monitoring deviceThe monitoring value of each health monitoring index at each monitoring time point is positioned in the health monitoring data marked with the record date, and the maximum monitoring value of each health monitoring index is screened out from the monitoring value and recorded as，Represents a health monitoring index number, d=1, 2.
Taking the monitoring time point as an abscissa and the maximum monitoring value as an ordinate, constructing a monitoring value change curve of each health monitoring device corresponding to each health monitoring index, extracting a fluctuation point and an amplitude value from the monitoring value change curve, and respectively marking the fluctuation point and the amplitude value asAnd。
counting the current corresponding indicated health fitness of each health monitoring device，，Indicating that the license monitoring indicator deviation value is set,to set the firstThe health monitoring equipment corresponds toA suitable monitored value of the individual indicators is,respectively set reference wavesThe number and the amplitude of the moving points,in order to round the symbol down,is the number of health monitoring indexes.
Preferably, the calibration is performed on each health monitoring device, and specific calibration rules are as follows: and calibrating the health monitoring equipment with the current monitoring accuracy less than or equal to 0 as distortion.
And calibrating the health monitoring equipment with the current monitoring accuracy greater than 0 to be accurate.
Preferably, the analyzing the distortion device includes: taking the recording date of the target equipment in each running as each marking date, simultaneously extracting the current monitoring accuracy of the distortion equipment, and recording as。
Locating the health monitoring data of each marked date from the health monitoring data of the distortion equipment, thereby according toThe accuracy of the health monitoring of the distortion device on each marked date is positioned in a statistical manner.
Constructing a health monitoring precision change curve by taking the marked date as an abscissa and the health monitoring precision as an ordinate, and extracting the slope of the health monitoring precision change curveAnd each curve segment below the set reference health monitoring accuracy is cut out from the set reference health monitoring accuracy.
Sequencing the curve segments according to the sequence of marked dates, extracting the number of interval days between the first curve segment sequenced and the starting point in the health monitoring precision change curve as the precision monitoring duration days, and recording asAs well asExtracting the number of interval days between the marking dates corresponding to the starting point and the stopping point in the health monitoring precision change curve, and marking the interval days as。
Will beAs a suitable calibration frequency for the distortion device, and as a processing scheme for the distortion device, wherein,to set a reference health accuracy monitoring rate of change,the unit distortion trend is set to correspond to a proper calibration frequency.
Preferably, the performing the target device health status analysis includes: setting health influence weight of the target equipment according to the current monitoring accuracy of each health monitoring equipment and the operation data of the target equipment in each operation。
Will beAnd counting the current tar trapping efficiency of the target equipment according to the current tar trapping efficiency statistical mode of the target equipment to obtain the tar trapping efficiency of other recording dates.
Sequencing the recording dates according to time, taking the recording date sequenced to be the first recording date as the first recording date, making a difference between the tar capturing efficiency of the target equipment on the first recording date and the current tar capturing efficiency, and recording the difference asAt the same time, the number of days of the interval between the first recording date and the target recording date is recorded as。
Extracting the current corresponding indicated health fitness of each health monitoring device and matching with the set reference health fitnessComparing, if the health fitness of a certain health monitoring device is smaller than the health fitnessThe health monitoring equipment is used as deviation health monitoring equipment, the number of the deviation health monitoring equipment is counted and recorded as the number of non-health monitoring indication items。
Counting health index of target device，，To set the poor efficiency of tar capture float,is the number of health monitoring devices.
Preferably, the setting the target device health influence weight includes: tar concentration and content of each constituent component monitored from positioning of target equipment to air inlet and air outlet in operation data of each operation, and statistics of tar trapping effectiveness of target equipment。
Counting the number of health monitoring devices calibrated as distortionAnd the number of health monitoring devices calibrated to be accurate。
Screening out the lowest monitoring accuracy from the current monitoring accuracy of each health monitoring device calibrated to be accurateScreening out the highest monitoring accuracy from the current monitoring accuracy of each health monitoring device calibrated as distortion。
Setting target device health impact weights，，In order to set the effectiveness of the reference tar collection,in order to set the reference monitoring accuracy,monitoring accuracy deviation for setting reference.
Preferably, the counting the tar trapping effectiveness of the target device includes: the tar concentration of the air inlet and the air outlet of the target equipment in each operation is subjected to difference, and the difference value is taken as the filtered tar concentration and is recorded as，The number of the running sequence is indicated,。
the content of each component of the air inlet and the air outlet of the target equipment during each operationThe content of each component monitored by the air inlet and the air outlet is correspondingly calculated to obtain the content difference of each component of the target equipment in each running，The number of the constituent components is indicated,qf is denoted as the f-th constituent element of the target device at the q-th run.
Counting tar trapping effectiveness of target equipment，，In order to set the reference filtered tar concentration,in order to set the content of the constituent components of the reference,is the number of the components.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the operation data of each operation of the electric tar precipitator and the health monitoring data of each health monitoring device are used for carrying out monitoring accuracy analysis, so that the health monitoring devices are calibrated, meanwhile, the health state analysis of the electric tar precipitator is carried out according to the analysis result, and the health index is output, so that the problem that the accuracy of the corresponding monitoring data of the health monitoring devices is not considered currently is effectively solved, the reliability and the referential performance of the health monitoring data of the subsequent electric tar precipitator are ensured, the pertinence of the health maintenance of the subsequent electric tar precipitator is further improved, the reliability and the effectiveness of the health maintenance of the subsequent electric tar precipitator are further ensured, and the purifying effect and the purifying rate of the subsequent electric tar precipitator are also ensured on the other hand.
(2) According to the invention, through carrying out monitoring accuracy analysis, calibration and processing schemes of analysis distortion equipment on each health monitoring device arranged on the electric tar precipitator, the monitoring condition of each health monitoring device is intuitively displayed, and meanwhile, the timely processing of the distortion health monitoring device is also facilitated, so that the accuracy, the reliability, the authenticity and the reference of the subsequently obtained monitoring data are ensured, the accurate monitoring of the tar emission condition is further realized, the potential health risk can be timely found out, the abnormal health state of the electric tar precipitator can be timely perceived, and the monitoring work efficiency and the cost benefit of the health monitoring device and the health management timeliness of the electric tar precipitator are ensured.
(3) According to the invention, the health influence weight of the target equipment is set according to the current monitoring accuracy of each health monitoring equipment and the operation data of the target equipment in each operation, and the health state analysis of the electric tar precipitator is carried out by combining the health monitoring data of each health monitoring equipment, so that the rationality of health management of the electric tar precipitator is improved, the defect of health analysis mainly carried out according to the monitoring data of the health monitoring equipment at present is avoided, the multidimensional health analysis of the electric tar precipitator is realized, and the feasibility of the establishment of the health maintenance scheme of the subsequent electric tar precipitator is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the platform of the present invention.
Detailed Description
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, the invention provides an integrated platform for collecting, analyzing and managing health data of an electrical tar precipitator, which comprises: the system comprises an operation data acquisition module, a health data acquisition module, a device monitoring analysis module, a device calibration processing module, a device health analysis module and a device analysis feedback terminal.
The equipment monitoring and analyzing module is respectively connected with the operation data acquisition module, the health data acquisition module, the equipment calibration processing module and the equipment health analyzing module, the equipment calibration processing module is also respectively connected with the health data acquisition module and the equipment health analyzing module, and the equipment health analyzing module is also respectively connected with the operation data acquisition module and the equipment analysis feedback terminal.
The operation data acquisition module is used for recording the electric tar precipitator as target equipment and acquiring accumulated operation time length of the target equipment and recording date and operation data in each operation.
In particular, the operational data includes, but is not limited to, tar concentration monitored at the air inlet and air outlet, content of each constituent component, and temperature, humidity, flow, and pressure monitored at each operational point in time at the air inlet.
The health data acquisition module is used for acquiring health data through each health monitoring device arranged on the target device to obtain health monitoring data of each health monitoring device.
Specifically, the health monitoring data consists of monitoring values of each health monitoring index at each monitoring time point.
In one particular embodiment, the health monitoring device includes, but is not limited to, an electrical monitoring device comprised of a current transformer and a voltage transformer, and an environmental monitoring device comprised of a humidity sensor and a temperature sensor. The electrical monitoring device corresponds to health monitoring indicators including, but not limited to, current and voltage, and the environmental monitoring device corresponds to health monitoring indicators including, but not limited to, temperature and humidity.
The equipment monitoring analysis module is used for carrying out monitoring accuracy analysis on each health monitoring equipment according to the health monitoring data of each health monitoring equipment and the operation data of the target equipment in each operation, and outputting the current monitoring accuracy of each health monitoring equipment.
Illustratively, monitoring accuracy analysis is performed on each health monitoring device, including: and E1, taking the recording date with the shortest interval number of days between the current date as a target recording date, and taking the operation data corresponding to the target recording date as target operation data.
E2, positioning tar concentrations monitored at the air inlet and the air outlet from target operation data, respectivelyAndsimultaneously positioning the temperature, humidity, flow and pressure monitored by the air inlet at each operation time point, and recording the accumulated operation time length of the target equipment asAccordingly, the current tar trapping correction efficiency is set。
Understandably, setting the current tar trapping correction efficiency includes: e21, recording the temperature of the air inlet monitored at each operation time point as，Run time point numbers are indicated, t=1, 2,..k, and current tar trapping temperature disturbance degree is counted，，In order to set the allowable temperature limit difference,the tar trapping temperature is suitable for setting the electric tar precipitator.
E22, recording the temperature of the air inlet monitored at each operation time point asStatistics of the current tar trapping humidity interference degree，，The tar trap is suitable for setting the tar trapping humidity.
E23, respectively recording the flow and pressure monitored by the air inlet at each operation time point asAndand according toThe current tar trapping flow interference degree is obtained by the same statistics of the statistical mode of the tar trapping flowAnd current tar trapping pressure disturbanceAccordingly, the current tar trapping efficiency interference factor is set，，、、、The tar trapping temperature disturbance degree, the tar trapping humidity disturbance degree, the tar trapping pressure disturbance degree and the tar trapping flow disturbance degree are respectively set as references.
In a specific embodiment, the temperature, humidity, flow rate and pressure of the air inlet can have an influence on the corresponding tar capturing efficiency of the electrical tar precipitator, wherein the specific influence of the temperature, humidity, flow rate and pressure is as follows: 1) Temperature: the temperature difference can cause the density and viscosity of the gas to change the flow behavior of the gas, the larger temperature difference can cause the change of the gas flow velocity to further influence the transmission and dispersion of the particulate matters and tar in the electric field, and the proper temperature difference can provide enough gas flow velocity to keep the residence time of the particulate matters and tar in the electric field area, so that the trapping efficiency is improved, and meanwhile, the particulate matters are more easily volatilized at higher temperature, so that the opportunity that the particulate matters enter the electric field area is increased. This helps to improve the trapping efficiency.
2) Humidity: the higher humidity can increase the wettability of the particles and tar, so that the interaction between the particles and the tar and an electric field is weakened, and the trapping efficiency is reduced, while the lower humidity can reduce the interaction between the particles and the moisture, so that the particles are more easily attracted by the electric field, the stay time of the particles in the electric field area is improved, and the trapping efficiency is increased.
3) Flow rate: a larger flow rate may increase the settling velocity of the particulate matter and reduce its residence time in the field area, thereby affecting the trapping efficiency, and a smaller flow rate may result in a reduced residence time of the particulate matter and tar in the field area, such that their interaction with the field is diminished. This reduces the trapping efficiency of the electrical tar precipitator so that more particulates and tar escape into the exhaust gas, and so a suitable flow rate may provide sufficient gas velocity so that the particulates and tar have sufficient time to interact with the electric field in the field region, thereby increasing the trapping efficiency.
4) Pressure: pressure variations at the air inlet can have an impact on the efficiency of the electrical tar precipitator. Proper pressure within the normal operating range may provide sufficient gas flow rate to maintain residence time of particulate matter and tar within the electric field region, improving trapping efficiency. Too high or too low a pressure may result in an unsuitable gas flow rate, thereby affecting the trapping efficiency.
E24, setting the current tar trapping correction efficiency，，The tar trapping efficiency is correspondingly compensated for the set unit tar trapping efficiency interference factor,correspondingly increasing the compensation tar trapping efficiency for the set unit accumulated exceeding operation time difference,to set a reference interfering tar trapping run length.
E3, positioning health monitoring data of a target record date from the health monitoring data of each health monitoring device, and counting the current corresponding indication health fitness of each health monitoring device，Indicating the number of the health monitoring device,。
understandably, counting the current correspondence of each health monitoring device indicates health fitness, including: e31, locating the monitoring value of each health monitoring index at each monitoring time point from the health monitoring data of each health monitoring device on the target recording date, screening the maximum monitoring value of each health monitoring index, and marking as，Represents a health monitoring index number, d=1, 2.
E32, constructing a monitoring numerical value change curve of each health monitoring device corresponding to each health monitoring index by taking the monitoring time point as an abscissa and the maximum monitoring value as an ordinate, extracting the fluctuation point and the amplitude value from the monitoring numerical value change curve, and respectively marking the fluctuation point and the amplitude value asAnd。
in one embodiment, a fluctuation point refers to a point in the curve where the trend of the left and right increases is opposite, such as a point where the left side rises and the right side falls or where the left side falls and the right side rises.
E33, counting the current corresponding indication health fitness of each health monitoring device，，Indicating the setting of license monitoring indicatorsThe value of the deviation is set to be,to set the firstThe health monitoring equipment corresponds toA suitable monitored value of the individual indicators is,respectively setting the number and the amplitude of the reference fluctuation points,in order to round the symbol down,is the number of health monitoring indexes.
E4, willAs the current monitoring accuracy of each health monitoring device, and is recorded as，Indicating the health fitness corresponding to the reference tar capturing efficiency for the set unit,tar trapping efficiency for setting the reference was poor.
The equipment calibration processing module is used for calibrating each health monitoring equipment according to the current monitoring accuracy of each health monitoring equipment, wherein the calibration is one of accuracy and distortion, the health monitoring equipment calibrated as distortion is used as distortion equipment, and the distortion equipment is analyzed to obtain a processing scheme of the distortion equipment.
Specifically, each health monitoring device is calibrated, and the specific calibration rule is as follows: and calibrating the health monitoring equipment with the current monitoring accuracy smaller than or equal to 0 as distortion, and calibrating the health monitoring equipment with the current monitoring accuracy larger than 0 as accurate.
Further, analyzing the distortion device includes: u1, taking the recording date of the target equipment in each running as each marking date, simultaneously extracting the current monitoring accuracy of the distortion equipment, and recording as。
U2, locating health monitoring data of each marked date from the health monitoring data of the distortion equipment, and further according to the followingThe accuracy of the health monitoring of the distortion device on each marked date is positioned in a statistical manner.
U3, constructing a health monitoring precision change curve by taking the marked date as an abscissa and the health monitoring precision as an ordinate, and extracting the slope of the health monitoring precision change curveAnd each curve segment below the set reference health monitoring accuracy is cut out from the set reference health monitoring accuracy.
In one embodiment, the slope refers to the slope of the regression line corresponding to the health monitoring accuracy change curve.
U4, sequencing the curve segments according to the sequence of marked dates, extracting the number of interval days between the first curve segment of sequencing and the starting point in the health monitoring precision change curve as the continuous number of precision monitoring days, and recording asSimultaneously extracting the number of interval days between the marking dates corresponding to the starting point and the cut-off point in the health monitoring precision change curve, and marking as。
U5, willAs a suitable calibration frequency for the distortion device, and as a processing scheme for the distortion device, wherein,to set a reference health accuracy monitoring rate of change,to set the unit distortion trend to correspond to the appropriate calibration frequency,representing the distortion trend.
According to the embodiment of the invention, through carrying out monitoring accuracy analysis, calibration and processing schemes of analysis distortion equipment on each health monitoring device arranged on the electrical tar precipitator, the monitoring condition of each health monitoring device is intuitively displayed, and meanwhile, the distortion health monitoring device is convenient to timely process, so that the accuracy, the reliability, the authenticity and the reference of the subsequently obtained monitoring data are ensured, the accuracy monitoring of the tar emission condition is further realized, the potential health risk can be timely found, the abnormal health state of the electrical tar precipitator can be timely perceived, and the monitoring work efficiency and the cost benefit of the health monitoring device and the health management timeliness of the electrical tar precipitator are ensured.
The equipment health analysis module is used for analyzing the health state of the target equipment according to the operation data of the target equipment in each operation and the current monitoring precision and calibration of each health monitoring equipment and outputting the health index of the target equipment.
Illustratively, performing the target device health status analysis includes: j1, setting health influence weights of target equipment according to current monitoring accuracy of each health monitoring equipment and operation data of the target equipment in each operation。
Understandably, setting the target device health impact weight includes: j11 slave target device is atTar concentration monitored by locating air inlet and air outlet in operation data of each operation and content of each constituent component, and counting tar trapping effectiveness of target equipment。
Further, counting the tar trapping effectiveness of the target device, including: x1, the tar concentration of the air inlet and the air outlet of the target equipment is differed in each operation, and the difference value is taken as the filtered tar concentration and is recorded as，The number of the running sequence is indicated,。
x2, the content of each component monitored by the air inlet and the air outlet of the target equipment in each operation is correspondingly differed, and the content difference of each component monitored by the air inlet and the air outlet is obtained，The number of the constituent components is indicated,qf is denoted as the f-th constituent element of the target device at the q-th run.
X3, counting tar trapping effectiveness of target equipment，，In order to set the reference filtered tar concentration,in order to set the content of the constituent components of the reference,is the number of the components.
J12, counting the number of health monitoring devices calibrated as distortionAnd the number of health monitoring devices calibrated to be accurate。
J13, screening out the lowest monitoring accuracy from the current monitoring accuracy of each health monitoring device calibrated to be accurateScreening out the highest monitoring accuracy from the current monitoring accuracy of each health monitoring device calibrated as distortion。
J14, setting target equipment health influence weight，，In order to set the effectiveness of the reference tar collection,in order to set the reference monitoring accuracy,to set the monitoring accuracy deviation of the reference,is the number of health monitoring devices.
J2, willAnd counting the current tar trapping efficiency of the target equipment according to the current tar trapping efficiency statistical mode of the target equipment to obtain the tar trapping efficiency of other recording dates.
J3, sequencing the recording dates according to time, taking the recording date sequenced to be the first recording date as the first recording date, making a difference between the tar capturing efficiency of the target equipment on the first recording date and the current tar capturing efficiency, and recording the difference asAt the same time, the number of days of the interval between the first recording date and the target recording date is recorded as。
J4, extracting the current corresponding indicated health fitness of each health monitoring device, and referencing the health fitness with the set referenceComparing, if the health fitness of a certain health monitoring device is smaller than the health fitnessThe health monitoring equipment is used as deviation health monitoring equipment, the number of the deviation health monitoring equipment is counted and recorded as the number of non-health monitoring indication items。
J5, counting health index of target equipment，，The float efficiency for tar collection was poor for the set permission.
According to the embodiment of the invention, the health influence weight of the target equipment is set according to the current monitoring precision of each health monitoring equipment and the operation data of the target equipment in each operation, and the health state analysis of the electric tar precipitator is carried out by combining the health monitoring data of each health monitoring equipment, so that the rationality of health management of the electric tar precipitator is improved, the defect of health analysis mainly carried out according to the monitoring data of the health monitoring equipment at present is avoided, the multidimensional health analysis of the electric tar precipitator is realized, and the feasibility of the establishment of the health maintenance scheme of the subsequent electric tar precipitator is ensured.
The equipment analysis feedback terminal is used for feeding back the health index feedback of the target equipment and the processing scheme of the distortion equipment to the operation and maintenance manager of the target equipment.
According to the embodiment of the invention, the monitoring accuracy analysis is carried out according to the operation data of each operation of the electric tar precipitator and the health monitoring data of each health monitoring device arranged, so that the calibration processing is carried out on the health monitoring devices, meanwhile, the health state analysis of the electric tar precipitator is carried out according to the analysis result, and the health index is output, so that the problem that the accuracy of the corresponding monitoring data of the health monitoring devices is not considered currently is effectively solved, the reliability and the referential performance of the health monitoring data of the subsequent electric tar precipitator are ensured, the pertinence of the health maintenance of the subsequent electric tar precipitator is further improved, the reliability and the effectiveness of the health maintenance of the subsequent electric tar precipitator are further ensured, and the purification effect and the purification rate of the subsequent electric tar precipitator are also ensured on the other side.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (10)
1. An integrated platform for collecting, analyzing and managing health data of an electrical tar precipitator, which is characterized by comprising the following components:
the operation data acquisition module is used for recording the electrical tar precipitator as target equipment and acquiring accumulated operation time of the target equipment and recording date and operation data in each operation;
the health data acquisition module is used for acquiring health data through each health monitoring device arranged on the target device to obtain health monitoring data of each health monitoring device;
the equipment monitoring analysis module is used for carrying out monitoring accuracy analysis on each health monitoring equipment according to the health monitoring data of each health monitoring equipment and the operation data of the target equipment in each operation and outputting the current monitoring accuracy of each health monitoring equipment;
the equipment calibration processing module is used for calibrating each health monitoring equipment according to the current monitoring accuracy of each health monitoring equipment, wherein the calibration is one of accuracy and distortion, the health monitoring equipment calibrated as distortion is used as distortion equipment, and the distortion equipment is analyzed to obtain a processing scheme of the distortion equipment;
the device health analysis module is used for analyzing the health state of the target device according to the operation data of the target device in each operation and the current monitoring precision and calibration of each health monitoring device and outputting the health index of the target device;
and the equipment analysis feedback terminal is used for feeding back the health index feedback of the target equipment and the processing scheme of the distortion equipment to the operation and maintenance manager of the target equipment.
2. The integrated electrical tar precipitator health data acquisition, analysis and management platform as set forth in claim 1, wherein: the monitoring accuracy analysis for each health monitoring device comprises the following steps:
taking the recording date with the shortest interval day between the current date as a target recording date, and taking the operation data corresponding to the target recording date as target operation data;
running a number of slave targetsTar concentrations monitored at the air inlet and the air outlet are respectively positioned in the waterAnd->Simultaneously positioning the temperature, humidity, flow and pressure monitored by the air inlet at each operation time point, and recording the accumulated operation time length of the target equipment as +.>Accordingly, the current tar trapping correction efficiency is set>；
Positioning health monitoring data of a target record date from the health monitoring data of each health monitoring device, and counting the current corresponding indication health fitness of each health monitoring device，/>Indicates health monitoring device number,/->；
Will beThe current monitoring accuracy as each health monitoring device is recorded as +.>，/>Indicating health fitness for the set unit corresponds to reference tar trapping efficiency, +.>Tar trapping efficiency for setting the reference was poor.
3. The integrated electrical tar precipitator health data acquisition, analysis and management platform according to claim 2, wherein: the setting of the current tar trapping correction efficiency includes:
the temperature of the air inlet monitored at each operating time point is recorded as，/>The running time point numbers are indicated, t=1, 2,..k, and the current tar trapping temperature interference degree +.>，/> ，/>To set the allowable temperature limit difference->Setting a proper tar trapping temperature of the electric tar precipitator;
the temperature of the air inlet monitored at each operating time point is recorded asCounting interference degree of current tar trapping humidity>，，/>The tar trapping humidity is suitable for setting the electric tar precipitator;
the flow and pressure monitored by the air inlet at each operation time point are respectively recorded asAnd->And according to->The current tar trapping flow interference degree +.>And the current tar trapping pressure disturbance degree +.>Accordingly, the interference factor of the current tar trapping efficiency is set>；
Setting current tar trapping correction efficiency，/>，/>The tar trapping efficiency is correspondingly compensated for the set unit tar trapping efficiency interference factor, which is->Correspondingly increasing the compensation tar trapping efficiency for the set unit accumulated exceeding operation time difference>To set a reference interfering tar trapping run length.
4. An integrated electrical tar precipitator health data acquisition, analysis and management platform according to claim 3, and further comprising: the specific setting formula of the current tar trapping efficiency interference factor is as follows:，/>、/>、/>、/>the tar trapping temperature disturbance degree, the tar trapping humidity disturbance degree, the tar trapping pressure disturbance degree and the tar trapping flow disturbance degree are respectively set as references.
5. The integrated electrical tar precipitator health data acquisition, analysis and management platform according to claim 2, wherein: counting the current corresponding indicated health fitness of each health monitoring device, including:
positioning the monitoring value of each health monitoring index at each monitoring time point from the health monitoring data of each health monitoring device on the target recording date, screening the maximum monitoring value of each health monitoring index, and recording as，/>Indicates the health monitoring index number, d =1, 2., n, jd represents the d-th health monitoring indicator of the j-th health monitoring device;
taking the monitoring time point as an abscissa and the maximum monitoring value as an ordinate, constructing a monitoring value change curve of each health monitoring device corresponding to each health monitoring index, extracting a fluctuation point and an amplitude value from the monitoring value change curve, and respectively marking the fluctuation point and the amplitude value asAnd->；
Counting the current corresponding indicated health fitness of each health monitoring device，，/>Indicating the deviation value of the set permission monitoring index>To set +.>The individual health monitoring device corresponds to->Appropriate monitoring value of individual index,/->Respectively, setting the number and the amplitude of reference fluctuation points, < ->To round down the symbol +_>Is the number of health monitoring indexes.
6. The integrated electrical tar precipitator health data acquisition, analysis and management platform as set forth in claim 1, wherein: the specific calibration rule for calibrating each health monitoring device is as follows:
calibrating health monitoring equipment with the current monitoring precision smaller than or equal to 0 as distortion;
and calibrating the health monitoring equipment with the current monitoring accuracy greater than 0 to be accurate.
7. The integrated electrical tar precipitator health data acquisition, analysis and management platform according to claim 2, wherein: the analyzing the distortion device includes:
taking the recording date of the target equipment in each running as each marking date, simultaneously extracting the current monitoring accuracy of the distortion equipment, and recording as；
Locating the health monitoring data of each marked date from the health monitoring data of the distortion equipment, thereby according toPositioning the health monitoring accuracy of the distortion equipment on each marked date in a statistical mode;
constructing a health monitoring precision change curve by taking the marked date as an abscissa and the health monitoring precision as an ordinate, and extracting the slope of the health monitoring precision change curveAnd each curve segment below the set reference health monitoring accuracy is cut out from the curve segments;
sequencing the curve segments according to the sequence of marked dates, and extracting the interval between the first curve segment of sequencing and the starting point in the health monitoring precision change curveDays of separation as the number of accurate monitoring duration and was noted asSimultaneously extracting the number of interval days between the marking dates corresponding to the starting point and the cut-off point in the health monitoring precision change curve, and marking the interval days as +.>；
Will beAs a suitable calibration frequency for the distortion device and as a processing scheme for the distortion device, wherein +.>Monitoring the rate of change for a set reference healthy precision, < >>The unit distortion trend is set to correspond to a proper calibration frequency.
8. The integrated electrical tar precipitator health data acquisition, analysis and management platform according to claim 2, wherein: the target equipment health status analysis comprises the following steps:
setting health influence weight of the target equipment according to the current monitoring accuracy of each health monitoring equipment and the operation data of the target equipment in each operation；
Will beAs the current tar trapping efficiency of the target equipment, counting according to the statistical mode of the current tar trapping efficiency of the target equipment to obtain the tar trapping efficiency of other recording dates;
the recording dates are sequentially recorded according to timeSorting, namely taking the first recording date as the first recording date, making a difference between the tar capturing efficiency of the target equipment on the first recording date and the current tar capturing efficiency, and recording the difference asAt the same time, the number of days of the interval between the first recording date and the target recording date is recorded as +.>；
Extracting the current corresponding indicated health fitness of each health monitoring device and matching with the set reference health fitnessComparing, if a health monitoring device indicates that the health fitness is smaller than +.>The health monitoring equipment is used as deviation health monitoring equipment, the number of the deviation health monitoring equipment is counted and is recorded as the number of non-health monitoring indication items +.>；
Counting health index of target device，/>，To set the allowable tar trapping floating efficiency poor, +.>Is the number of health monitoring devices.
9. The integrated electrical tar precipitator health data acquisition, analysis and management platform of claim 8, further comprising: the setting the health influence weight of the target equipment comprises the following steps:
tar concentration and content of each constituent component monitored from positioning of target equipment to air inlet and air outlet in operation data of each operation, and statistics of tar trapping effectiveness of target equipment；
Counting the number of health monitoring devices calibrated as distortionAnd the number of health monitoring devices calibrated as accurate +.>；
Screening out the lowest monitoring accuracy from the current monitoring accuracy of each health monitoring device calibrated to be accurateScreening out the highest monitoring accuracy from the current monitoring accuracy of each health monitoring device calibrated as distortion>；
Setting target device health impact weights，/>，To set the reference tar trapping effectiveness +.>For setting the reference monitoring accuracy +.>Monitoring accuracy deviation for setting reference.
10. The integrated electrical tar precipitator health data acquisition, analysis and management platform according to claim 9, wherein: the tar trapping effectiveness of the statistical target device comprises the following steps:
the tar concentration of the air inlet and the air outlet of the target equipment in each operation is subjected to difference, and the difference value is taken as the filtered tar concentration and is recorded as，/>Representing the running order number, +.>；
The content of each component monitored by the air inlet and the air outlet of the target equipment in each operation is correspondingly differed to obtain the content difference of each component of the target equipment in each operation，/>Representing the number of the constituent elements,/->Qf is denoted as the f-th constituent element of the target device at the q-th run;
counting tar trapping effectiveness of target equipment，/>，To set the reference filter tar concentration->For setting the reference component content, +.>Is the number of the components.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410167146.9A CN117745273B (en) | 2024-02-06 | 2024-02-06 | Integrated platform for collecting, analyzing and managing health data of electrical tar precipitator |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410167146.9A CN117745273B (en) | 2024-02-06 | 2024-02-06 | Integrated platform for collecting, analyzing and managing health data of electrical tar precipitator |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117745273A true CN117745273A (en) | 2024-03-22 |
| CN117745273B CN117745273B (en) | 2024-04-26 |
Family
ID=90278072
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410167146.9A Active CN117745273B (en) | 2024-02-06 | 2024-02-06 | Integrated platform for collecting, analyzing and managing health data of electrical tar precipitator |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117745273B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106155024A (en) * | 2016-08-12 | 2016-11-23 | 湖南千盟智能信息技术有限公司 | A kind of Anthracite coal Intelligent Control System of Gas-collector Pressure |
| WO2019218408A1 (en) * | 2018-05-15 | 2019-11-21 | 江苏大学 | Internet of things-based device and method for monitoring typical health status of pump unit |
| CN112325930A (en) * | 2020-10-21 | 2021-02-05 | 合肥钧宝智能科技有限公司 | Environmental information processing and early warning method |
| US20220065834A1 (en) * | 2020-09-03 | 2022-03-03 | Cameron International Corporation | Greenhouse gas emission monitoring systems and methods |
| CN114169550A (en) * | 2021-12-02 | 2022-03-11 | 襄阳九鼎昊天环保设备有限公司 | Electric filter system equipment health guarantee operation and maintenance system and operation and maintenance method |
| CN115054203A (en) * | 2022-06-10 | 2022-09-16 | 武汉诺兴康医疗科技有限公司 | Health data intelligent online monitoring analysis management cloud platform based on digitization |
| CN116148657A (en) * | 2023-04-21 | 2023-05-23 | 浙江威利坚科技股份有限公司 | Electromagnetic leakage circuit breaker operation monitoring and diagnosing method |
-
2024
- 2024-02-06 CN CN202410167146.9A patent/CN117745273B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106155024A (en) * | 2016-08-12 | 2016-11-23 | 湖南千盟智能信息技术有限公司 | A kind of Anthracite coal Intelligent Control System of Gas-collector Pressure |
| WO2019218408A1 (en) * | 2018-05-15 | 2019-11-21 | 江苏大学 | Internet of things-based device and method for monitoring typical health status of pump unit |
| US20220065834A1 (en) * | 2020-09-03 | 2022-03-03 | Cameron International Corporation | Greenhouse gas emission monitoring systems and methods |
| CN112325930A (en) * | 2020-10-21 | 2021-02-05 | 合肥钧宝智能科技有限公司 | Environmental information processing and early warning method |
| CN114169550A (en) * | 2021-12-02 | 2022-03-11 | 襄阳九鼎昊天环保设备有限公司 | Electric filter system equipment health guarantee operation and maintenance system and operation and maintenance method |
| CN115054203A (en) * | 2022-06-10 | 2022-09-16 | 武汉诺兴康医疗科技有限公司 | Health data intelligent online monitoring analysis management cloud platform based on digitization |
| CN116148657A (en) * | 2023-04-21 | 2023-05-23 | 浙江威利坚科技股份有限公司 | Electromagnetic leakage circuit breaker operation monitoring and diagnosing method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117745273B (en) | 2024-04-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AT513137A4 (en) | Method for monitoring at least one exhaust gas turbocharger | |
| CN207263223U (en) | A kind of coal-fired plant flue gas purifier monitors system | |
| CN111898068B (en) | Anomaly detection method based on PERT algorithm and instrument usage analysis | |
| CN113281480A (en) | Device for measuring carbon emission of sewage and statistical method for carbon emission of sewage | |
| CN117745273B (en) | Integrated platform for collecting, analyzing and managing health data of electrical tar precipitator | |
| CN210071607U (en) | Testing device for gas filtration of fuel cell air filter | |
| DE202011109258U1 (en) | Breath alcohol analyzer | |
| DE102019102880A1 (en) | Method for determining the loading state of a filter element of a filter system, filter system and fuel cell system | |
| CN203909009U (en) | Continuous online monitoring system for flue gas | |
| CN115754149B (en) | Monitoring method, device and equipment for waste gas treatment process | |
| CN102980610A (en) | Intelligent fault detection device of continuous emission monitoring system (CEMS) | |
| CN111178855A (en) | Electric quantity data monitoring method | |
| CN115063045B (en) | Oil purifier operating efficiency evaluation system based on data processing | |
| CN115372034A (en) | Industrial product monitoring and analyzing system based on cloud management platform | |
| KR20160069881A (en) | Apparatus and Method for detecting filter contamination of fuel cell | |
| CN112782364A (en) | Method and system for automatically detecting volatile organic pollutants | |
| CN117324148B (en) | Intelligent dust monitoring system for concrete production site | |
| CN113758853B (en) | Method for accurately measuring and calculating performance and service life of filter | |
| CN112397203B (en) | Environment-exposed PM2.5 heavy metal health risk evaluation method and system | |
| CN213875640U (en) | Biological toxicity early warning monitoring system | |
| US20240169766A1 (en) | Telematics as a method to monitor the state of air filters used with fuel cells | |
| CN117744890B (en) | Human-occupied environment monitoring and optimizing method | |
| CN117451935A (en) | Intelligent monitoring method for data quality of ecological monitoring station | |
| CN115685829A (en) | Carbon dioxide carbon footprint management and control system considering carbon capture | |
| CN117850370A (en) | Data acquisition method and system based on RTU |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |