CN113359637A - Data quality guarantee system and method based on station house operation environment and equipment operation state - Google Patents
Data quality guarantee system and method based on station house operation environment and equipment operation state Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 claims abstract description 56
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- 238000004458 analytical method Methods 0.000 claims description 21
- 239000003344 environmental pollutant Substances 0.000 claims description 20
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- 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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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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
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Abstract
The invention relates to the technical field of environmental atmospheric quality monitoring, in particular to a data quality guarantee method based on a station room operating environment and an equipment operating state. The invention realizes the automatic and intelligent screening of suspicious conditions of the station room operation environment and the equipment operation state, has the advantage of stable alarm, is convenient for data recheckers to monitor important alarm information and process the alarm in time, and ensures the quality of data.
Description
Technical Field
The invention relates to the technical field of environmental atmospheric quality monitoring, in particular to a data quality guarantee method based on a station building operation environment and an equipment operation state.
Background
Aiming at whether the operating environment of a station house and the operating state of monitoring equipment meet the requirements of the operating environment of a national environmental air quality monitoring city station and whether the acquired atmospheric temperature and pressure numerical values are accurate, an algorithm is designed according to the technical scheme of data monitoring of a Chinese environmental monitoring master station, the judgment technology of the humidity inside the station house is realized, the problem that the indoor humidity acquired by the atmospheric monitoring equipment is inaccurate is solved, and the problems that the humidity acquired by the monitoring equipment is wrong and the nearby station house is maliciously sprayed are found in time; the atmospheric temperature and atmospheric pressure acquired by the monitoring equipment are compared with the meteorological temperature and pressure, so that automatic alarm is realized when abnormality is found, the calculation of the standard condition concentration conversion live concentration of pollutants is avoided from being influenced, the quality control of the monitoring equipment conforms to a set of method system, and the development of the remote automatic quality control technology of the monitoring equipment is promoted.
The internal and external environments of station house operation are an important ring for guaranteeing the 'true and accurate' monitoring data, but at present, the atmospheric humidity of the station house operation environment is only data acquisition and storage, automatic reminding of abnormal states is not carried out, and only irregular manual sampling inspection is carried out on the external operation conditions of individual station houses; present-order Pollutant Monitoring (PM)10And PM2.5Etc.) the relative humidity that equipment gathered is only compared with the relative humidity target value that equipment set up through the relative humidity that monitoring facilities gathered to the control of sample gas humidity in the equipment running state, judges whether to start to heat the sampling pipe according to the result equipment of comparison, and it is great to find the humidity that has equipment to gather in the actual operation and actual humidity difference, accords with the heating condition, but does not start the heating, leads to data anomaly, and can't discover the condition of unusual reason the very first time. In this case, complicated manual analysis is required to draw a daily average graph and a monthly average graph to judge abnormal fluctuation, outlier degree and the like, so that a large amount of human resources are increased, and manual review is difficult to avoid omission or misjudgment. In view of how to judge whether the humidity collected by the equipment is correct or not, there is obvious hysteresis in manually checking the data, byThe automatic alarm can judge the humidity acquired in real time and reflect abnormal data or time intervals.
Disclosure of Invention
The invention provides a data quality guarantee system and a data quality guarantee method based on a station room operating environment and an equipment operating state, which aim at the problem that whether the station room operating condition and the equipment operating state are abnormal can be judged only by manually checking a plurality of pieces of historical data in the current air quality monitoring station room, are convenient to monitor the problems of the station room temperature, humidity and atmospheric pressure, and can send out an alarm in time to remind relevant responsible persons of carrying out corresponding processing and guarantee the quality of monitored data.
In order to solve the technical problems, the invention adopts the following technical scheme:
a data quality guarantee method based on station house operation environment and equipment operation state predicts an indoor humidity theoretical value through an outdoor humidity measured value, and then compares the indoor humidity theoretical value with the indoor humidity measured value to guarantee detection data quality.
Preferably, the theoretical value of the indoor humidity is predicted by the following formula:
wherein:
tn: indoor humidity theoretical value;
tw: an outdoor humidity measured value;
dn: indoor saturated water vapor content value;
dw: outdoor saturated water vapor content values.
Preferably, the method comprises the following steps:
s1, acquiring an hour value of an atmospheric temperature parameter of equipment, looking up a table to obtain a saturated water vapor content value corresponding to a temperature value, and recording the value as an outdoor saturated water vapor content value;
the hour value of the "atmospheric temperature" parameter of the equipment is obtained (an integer is rounded), and the value of the "saturated water vapor content" of the corresponding temperature value is obtained by searching the thermodynamic properties (arranged according to the temperature) of saturated water and saturated steam in table 1 in a water and water vapor thermodynamic property chart (third edition).
S2, acquiring an hour value of an indoor temperature parameter or a case temperature parameter of the equipment, looking up a table to obtain a saturated steam content value corresponding to the temperature value, and recording the saturated steam content value as an indoor saturated steam content value;
the method comprises the steps of obtaining an hour value (taking an integer in a rounding mode) of an indoor temperature parameter or a case temperature parameter of the equipment, and comparing a table of 'corresponding values of temperature and saturated water vapor content' to obtain a 'saturated water vapor content' value of a corresponding temperature value.
S3, acquiring a small time value (taking an integer by adopting a rounding mode) of an indoor humidity value parameter of the equipment, and recording the small time value as the indoor humidity measured value;
s4, acquiring an hour value (taking an integer by adopting a rounding mode) of an outdoor humidity value parameter of the equipment, and recording the hour value as the outdoor humidity measured value;
s5, predicting the indoor humidity theoretical value through the following formula:
wherein:
tn: indoor humidity theoretical value;
tw: an outdoor humidity measured value;
dn: indoor saturated water vapor content value;
dw: an outdoor saturated water vapor content value;
s6, calculating the relative deviation between the theoretical indoor humidity value and the actually measured indoor humidity value, judging whether the humidity acquired by the equipment is normal or not according to whether the relative deviation exceeds an abnormal preset value or not, and if the relative deviation exceeds the abnormal preset value, generating an alarm:
symbol:
STn: indoor humidity measured value;
tn: indoor humidity theoretical value;
x: and (4) abnormal preset values.
Preferably, the anomaly preset value is 20%.
The abnormal preset value is a set fixed value, and the empirical value is 20%.
Preferably, the method further comprises the following steps:
s01, acquiring atmospheric pressure of an environmental state monitoring module, comparing the atmospheric pressure with preset station meteorological pressure, and generating an alarm if the relative deviation exceeds +/-10% and the cumulative time in one day is more than or equal to 10 hours;
s02, obtaining the atmospheric temperature of the environmental state monitoring module, comparing the atmospheric temperature with the preset station meteorological temperature, and generating an alarm if the relative deviation exceeds +/-4 ℃ and the cumulative time in one day is more than or equal to 10 hours.
Preferably, in step S02, the "atmospheric temperature" is obtained by a plurality of devices, and compared with each other, and compared with the preset "station meteorological temperature", and if the relative deviation exceeds ± 4 ℃ and the cumulative time in one day is greater than or equal to 10 hours, an alarm is generated.
A system applying the data quality guarantee method based on the station room operating environment and the equipment operating state comprises the following steps: the system comprises a pollutant monitoring equipment module, an environmental state monitoring module, an alarm analysis module and a communication sending module; the pollutant monitoring equipment module is used for detecting the pollutant concentration, acquiring the temperature in the station room and preselecting the pollutant concentration needing alarming; the environment state monitoring module is used for detecting temperature information, humidity information and atmospheric pressure information of the external environment of the station house and then calculating and determining a theoretical value; the alarm analysis module is used for judging whether the actual operating environment of the station house and the actual operating state data of the equipment meet the judgment rule or not and classifying a plurality of alarms; and the communication sending module is used for sending the alarm information to a person in charge related to the station house to process the alarm.
Preferably, the pollutant monitoring device module and the environmental state monitoring module send monitoring data to the alarm analysis module, the alarm analysis module determines whether the monitoring data is abnormal, and if the monitoring data is abnormal, an alarm instruction is generated.
Preferably, once the alarm analysis module generates an alarm instruction, the alarm analysis module sends an alarm to the relevant responsible person through the communication sending module.
Preferably, the alarm analysis module is divided into the following alarm types: temperature abnormity alarm, pressure abnormity alarm and humidity abnormity alarm.
Preferably, the system also comprises a data transmission module which is respectively connected with the pollutant monitoring equipment module and the environmental state monitoring module and sends monitoring data to the alarm analysis module through an industrial personal computer and a VPN.
Compared with the prior art, the implementation of the invention has the following beneficial effects:
the invention realizes the automatic and intelligent screening of suspicious conditions of the station room operation environment and the equipment operation state, has the advantage of stable alarm, is convenient for data recheckers to monitor important alarm information and process the alarm in time, and ensures the quality of data.
Compared with the existing monitoring data quality control means, the method fully considers the influence of meteorological conditions on the monitoring data, realizes the process control of automatic monitoring by monitoring the station house environment and the equipment running state, and overcomes the defect that the result monitoring is emphasized at present. The problem that automatic quality control means are lacked in multisource monitoring data is finally solved, automatic and intelligent screening and judging functions for abnormal working states are achieved, monitoring data process control conforms to the same method system, quality of monitoring data is guaranteed, and powerful support is provided for later-stage data use and environment forecast early warning.
Drawings
Fig. 1 is a block diagram of a data quality assurance system based on a station building operating environment and an equipment operating state according to an embodiment of the present invention.
Fig. 2 is a flowchart of a data quality assurance method based on a station building operating environment and an equipment operating state according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the embodiments of the present invention are not limited thereto.
As shown in fig. 1, the present embodiment provides a data quality assurance system based on a station room operating environment and an equipment operating state, including: the pollutant monitoring device module is used for detecting the pollutant concentration in real time, and the generated alarm information is added with different identifications after pollutant concentration data according to classification so as to highlight and remind operation and maintenance personnel and data auditors;
table alarm type and corresponding identification
| Serial number | Alarm type | Corresponding mark |
| 1 | Temperature anomaly | (T) |
| 2 | Abnormality of atmospheric pressure | (P) |
| 3 | Abnormality of humidity | (R) |
The environment state monitoring module is used for detecting temperature information, humidity information and atmospheric pressure information of the internal environment and the external environment of the station house and then calculating and determining a theoretical value;
the alarm analysis module is used for judging whether the actual operating environment of the station house and the actual operating state data of the equipment meet the judgment rules or not, classifying a plurality of alarms, and automatically adding an identifier on the pollutant concentration data at the alarm moment;
and the communication sending module is used for sending the alarm information to a person in charge related to the station house to process the alarm.
The system also comprises a data transmission module which is connected with the pollutant monitoring equipment module and the environmental state monitoring module and transmits the monitoring data to the alarm analysis module through the industrial personal computer and the VPN.
The environment state monitoring module comprises a temperature sensor, a pressure sensor and a humidity sensor.
The alarm analysis module is configured with a national air station reference pressure range table, and station pressure is preset. And comparing the monitored atmospheric pressure with the atmospheric pressure, and sending an atmospheric pressure alarm instruction when the atmospheric pressure is lower than or higher than a preset value.
The alarm type in the alarm analysis module is divided into: temperature abnormity alarm, pressure abnormity alarm and humidity abnormity alarm.
The alarm analysis module is further configured to send an alarm to an associated responsible person via the communication sending module upon generating an alarm instruction.
As shown in fig. 2, on the basis of the data quality assurance system for the station room operating environment and the equipment operating state, the embodiment further provides a data quality assurance method for the station room operating environment and the equipment operating state, which includes the following steps:
the first step is as follows: the hour value of the atmospheric temperature acquired by the environmental state monitoring module is generally obtained by two monitoring devices, two hour values of the atmospheric temperature are respectively obtained by the two monitoring devices and compared with the locally published meteorological temperature, namely the preset station meteorological temperature, two by two, and if the relative deviation exceeds +/-4 and the cumulative time in one day is more than or equal to 10 hours, an alarm is generated.
The second step is that: the hour value of the atmospheric pressure acquired by the environmental state monitoring module is compared with the local meteorological pressure, namely the preset station meteorological pressure, and the relative deviation of the hour value of the atmospheric pressure and the local meteorological pressure exceeds 10%, and an alarm is generated when the hour value is accumulated for more than or equal to 10 hours in one day.
The second step is that: the environmental state monitoring module obtains the hour value of the atmospheric temperature parameter (taking an integer by rounding), obtains the saturated water vapor content value of the corresponding temperature value by searching the thermodynamic properties (arranged according to the temperature) of saturated water and saturated steam in table 1 in a water and water vapor thermodynamic property chart (third edition), and records the value as the outdoor saturated water vapor content value.
The third step: the pollutant monitoring equipment module obtains an hour value (taking an integer by adopting a rounding mode) of an indoor temperature parameter or a chassis temperature parameter, and obtains a saturated water vapor content value of a corresponding temperature value by comparing a table of corresponding values of temperature and saturated water vapor content. And recorded as "indoor saturated water vapor content value".
The fourth step: the pollutant monitoring module obtains a small value (taking an integer by rounding) of an indoor humidity value parameter of the equipment and records the small value as an indoor humidity measured value.
The fifth step: the hour value (rounded by an integer) of the "outdoor humidity value" parameter of the device is obtained.
And a sixth step: and calculating the theoretical value of the indoor humidity according to the outdoor humidity value, the indoor saturated water vapor content value and the outdoor saturated water vapor content value. Predicting the theoretical value of the indoor humidity by the following formula:
wherein:
tn: indoor humidity theoretical value;
tw: an outdoor humidity measured value;
dn: indoor saturated water vapor content value;
dw: outdoor saturated water vapor content values.
The seventh step: further calculating the relative deviation between the theoretical value and the actual value of the indoor humidity, judging whether the humidity acquired by the equipment is normal or not by judging whether the relative deviation exceeds a fixed value (the empirical value is 20%), and generating an alarm if the relative deviation exceeds 20%:
symbol:
STn: indoor humidity measured value;
tn: indoor humidity theoretical value;
x: and (4) abnormal preset values.
Eighth step: and sending the alarm to a relevant responsible person for corresponding processing.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the scope of the present invention, therefore, the present invention is not limited by the appended claims.
Claims (10)
1. A data quality guarantee method based on station house operation environment and equipment operation state is characterized in that an indoor humidity theoretical value is predicted through an outdoor humidity measured value and then is compared with an indoor humidity measured value to guarantee detection data quality.
2. The method for guaranteeing data quality based on the station house operating environment and the equipment operating state according to claim 1, wherein the theoretical value of the indoor humidity is predicted by the following formula:
wherein:
tn: indoor humidity theoretical value;
tw: an outdoor humidity measured value;
dn: indoor saturated water vapor content value;
dw: outdoor saturated water vapor content values.
3. The method for guaranteeing data quality based on the station building operating environment and the equipment operating state according to claim 1, comprising the steps of:
s1, acquiring an hour value of an atmospheric temperature parameter of equipment, looking up a table to obtain a saturated water vapor content value corresponding to a temperature value, and recording the value as an outdoor saturated water vapor content value;
s2, acquiring an hour value of an indoor temperature parameter or a case temperature parameter of the equipment, looking up a table to obtain a saturated steam content value corresponding to the temperature value, and recording the saturated steam content value as an indoor saturated steam content value;
s3, acquiring an hour value of an indoor humidity value parameter of the equipment, and recording the hour value as the indoor humidity measured value;
s4, acquiring an hour value of an outdoor humidity value parameter of the equipment, and recording the hour value as the outdoor humidity measured value;
s5, predicting the indoor humidity theoretical value through the following formula:
wherein:
tn: indoor humidity theoretical value;
tw: an outdoor humidity measured value;
dn: indoor saturated water vapor content value;
dw: an outdoor saturated water vapor content value;
s6, calculating the relative deviation between the theoretical indoor humidity value and the actually measured indoor humidity value, judging whether the humidity acquired by the equipment is normal or not according to whether the relative deviation exceeds an abnormal preset value or not, and if the relative deviation exceeds the abnormal preset value, generating an alarm:
symbol:
STn: indoor humidity measured value;
tn: indoor humidity theoretical value;
x: and (4) abnormal preset values.
4. The method for guaranteeing data quality based on the operating environment of the station house and the operating state of the equipment according to claim 3, wherein the abnormal preset value is 20%.
5. The method for guaranteeing data quality based on the station building operating environment and the equipment operating state according to claim 3, further comprising the steps of:
s01, acquiring atmospheric pressure of an environmental state monitoring module, comparing the atmospheric pressure with preset station meteorological pressure, and generating an alarm if the relative deviation exceeds +/-10% and the cumulative time in one day is more than or equal to 10 hours;
s02, obtaining the atmospheric temperature of the environmental state monitoring module, comparing the atmospheric temperature with the preset station meteorological temperature, and generating an alarm if the relative deviation exceeds +/-4 ℃ and the cumulative time in one day is more than or equal to 10 hours.
6. The method as claimed in claim 5, wherein in step S02, the "atmospheric temperature" is obtained from a plurality of devices, compared with each other, and compared with the preset "station meteorological temperature", and if the relative deviation exceeds ± 4 ℃ and the cumulative time per day is greater than or equal to 10 hours, an alarm is generated.
7. A system for applying the data quality assurance method based on the station building operating environment and the equipment operating state according to claim 1, comprising: the system comprises a pollutant monitoring equipment module, an environmental state monitoring module, an alarm analysis module and a communication sending module; the pollutant monitoring equipment module is used for detecting the pollutant concentration, acquiring the temperature in the station room and preselecting the pollutant concentration needing alarming; the environment state monitoring module is used for detecting temperature information, humidity information and atmospheric pressure information of the external environment of the station house and then calculating and determining a theoretical value; the alarm analysis module is used for judging whether the actual operating environment of the station house and the actual operating state data of the equipment meet the judgment rule or not and classifying a plurality of alarms; and the communication sending module is used for sending the alarm information to a person in charge related to the station house to process the alarm.
8. The system of claim 7, wherein the contaminant monitoring device module and the environmental condition monitoring module send monitoring data to the alarm analysis module, the alarm analysis module determines whether there is an abnormality, and if so, an alarm command is generated.
9. The system of claim 7, wherein the alarm analysis module, upon generating an alarm command, sends an alarm to the associated responsible person via the communication sending module; the alarm type in the alarm analysis module is divided into: temperature abnormity alarm, pressure abnormity alarm and humidity abnormity alarm.
10. The system of claim 7, further comprising a data transmission module respectively connected to the pollutant monitoring device module and the environmental state monitoring module, and transmitting the monitoring data to the alarm analysis module through an industrial personal computer and a VPN.
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| CN114199304A (en) * | 2021-11-05 | 2022-03-18 | 华能金昌光伏发电有限公司 | Abnormity detection method and device for communication machine room of photovoltaic power station and computer equipment |
| CN116071902A (en) * | 2023-04-07 | 2023-05-05 | 山东金宇信息科技集团有限公司 | Method, equipment and medium for monitoring power equipment of machine room |
| CN117198019A (en) * | 2023-11-07 | 2023-12-08 | 山东怡鲁科技有限公司 | Intelligent archive storehouse intelligent early warning system based on multiple sensors |
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Application publication date: 20210907 |