CN117451935A - Intelligent monitoring method for data quality of ecological monitoring station - Google Patents

Intelligent monitoring method for data quality of ecological monitoring station Download PDF

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CN117451935A
CN117451935A CN202311393316.7A CN202311393316A CN117451935A CN 117451935 A CN117451935 A CN 117451935A CN 202311393316 A CN202311393316 A CN 202311393316A CN 117451935 A CN117451935 A CN 117451935A
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equipment
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姜霞
侯贻
刘娜
周华
袁公平
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GUIZHOU ACADEMY OF FORESTRY
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Abstract

The invention discloses an intelligent monitoring method for the data quality of an ecological monitoring station, which relates to the field of ecological environmental protection, and solves the problem that the acquired ecological data does not have references caused by equipment factors of equipment used by the ecological monitoring station for monitoring the data and aging factors during monitoring the data, wherein the intelligent monitoring method comprises the following steps: the equipment analysis module is used for analyzing equipment conditions of monitoring equipment in the atmosphere ecological monitoring station; the gas analysis module analyzes the gas condition in the monitoring area of the atmosphere ecological monitoring station, and the particle analysis module analyzes the particle condition in the monitoring area of the atmosphere ecological monitoring station to obtain a normal data set and an abnormal data set, and sends the normal data set and the abnormal data set to the determining unit; the determining unit confirms the data quality of the atmosphere ecological data monitored in the acquisition period to obtain the data quality score of the atmosphere ecological data in the acquisition period.

Description

Intelligent monitoring method for data quality of ecological monitoring station
Technical Field
The invention belongs to the field of ecological environment protection, relates to an intelligent monitoring technology, and in particular relates to an intelligent monitoring method for data quality of an ecological monitoring station.
Background
An ecology monitoring station is a facility or site for collecting, recording and analyzing ecology-related data. They are typically located in the natural environment, covering different types of ecosystems, such as forests, wetlands, grasslands, oceans, and freshwater ecosystems, etc., and they collect various data, including meteorological data (e.g., temperature, precipitation, wind speed, etc.), water quality data, soil data, vegetation data, animal population data, etc., which are critical to understanding the structure, function, and dynamics of the ecosystem. Through long-term monitoring, information such as data trend, periodic variation, seasonal variation and the like can be obtained, and decision making and planning in the fields such as scientific research, environment management, natural resource protection, policy making and the like are facilitated.
When the current ecological monitoring station monitors ecological data, the ecological data monitored by the ecological monitoring station needs to ensure the data quality, namely the integrity and the accuracy of the ecological data need to be ensured, and no large deviation exists, but the ecological data acquired by the ecological monitoring station does not have referential property due to the equipment factors of equipment used by the ecological monitoring station for monitoring the data, the aging factors during monitoring the data and the like, so that the quality verification of the ecological monitoring data of the ecological monitoring station is a great problem which needs to be solved currently;
therefore, we propose an intelligent monitoring method for ecologically monitoring the data quality of the station.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide an intelligent monitoring method for ecologically monitoring the data quality of a station.
The technical problems to be solved by the invention are as follows:
how the ecology monitoring station performs quality verification of ecology monitoring data.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the intelligent monitoring method for the data quality of the ecological monitoring station comprises the following steps:
step S10, a data acquisition module acquires real-time equipment data of monitoring equipment in an atmosphere ecological monitoring station at different time points and sends the real-time equipment data to an equipment analysis module, and the equipment analysis module analyzes equipment conditions of the monitoring equipment in the atmosphere ecological monitoring station to generate equipment normal signals or equipment abnormal signals;
step S20, if an equipment abnormal signal is generated, overhauling corresponding monitoring equipment in the atmosphere ecological monitoring station, and if an equipment normal signal is generated, acquiring atmosphere ecological data of a monitoring area corresponding to the atmosphere ecological monitoring station by utilizing a data acquisition module;
step S30, a gas analysis module analyzes the gas condition in the monitoring area of the atmospheric ecological monitoring station, and a particle analysis module analyzes the particle condition in the monitoring area of the atmospheric ecological monitoring station, so that a normal data set and an abnormal data set are obtained through analysis and sent to a determination unit;
and S40, the determining unit confirms the data quality of the atmospheric ecological data monitored in the acquisition period, the data quality scores of the atmospheric ecological data in the acquisition period are obtained and sent to the display terminal, and the display terminal displays the data quality scores of the atmospheric ecological data in the acquisition period of the ecological monitoring station.
Further, the real-time device data is a real-time current value and a real-time voltage value of the monitoring device.
Further, the analysis process of the device analysis module is specifically as follows:
acquiring real-time current values and real-time voltage values of monitoring equipment in an atmosphere ecological monitoring station at different time points;
adding and summing the real-time current values of the monitoring equipment in the atmosphere ecological monitoring station at different time points to obtain a current average value, subtracting the real-time current value from the current average value and taking the absolute value to obtain a current floating value of the monitoring equipment in the atmosphere ecological monitoring station at different time points;
similarly, the voltage floating value of the monitoring equipment in the atmosphere ecological monitoring station at different time points is obtained in the mode;
acquiring a current floating interval and a voltage floating interval stored in a database;
if the current floating values of the monitoring equipment in the atmosphere ecological monitoring station are in the current floating interval when all time points are met and the voltage floating values of the monitoring equipment in the atmosphere ecological monitoring station are in the voltage floating interval when all time points are met, generating equipment normal signals;
if the current floating value of the monitoring equipment in the atmosphere ecological monitoring station is not in the current floating region when any time point is met or the voltage floating value of the monitoring equipment in the atmosphere ecological monitoring station is not in the voltage floating region when any time point is met, generating an equipment abnormal signal.
Further, the atmospheric ecological data are carbon monoxide concentration, sulfur dioxide concentration, ozone concentration, nitrogen oxide concentration and fine particulate matter concentration of the corresponding monitoring areas of the atmospheric ecological monitoring station.
Further, the analysis process of the gas analysis module is specifically as follows:
acquiring a collected carbon monoxide concentration set, a sulfur dioxide concentration set, an ozone concentration set and a nitrogen oxide concentration set;
adding and summing the carbon monoxide concentrations collected by each monitoring device in the carbon monoxide concentration set to obtain a mean value of the carbon monoxide concentrations of the carbon monoxide set, and then calculating the standard deviation of the carbon monoxide concentrations of the carbon monoxide concentration set;
then calculating the carbon monoxide concentration deviation rate of the carbon monoxide concentration set at the moment, and similarly calculating the sulfur dioxide concentration deviation rate of the sulfur dioxide concentration set, the ozone concentration deviation rate of the ozone concentration set and the nitrogen oxide concentration deviation rate of the nitrogen oxide concentration set at the same moment;
if the carbon monoxide concentration deviation rate is in the corresponding deviation interval, the carbon monoxide concentration collected at the moment t is the carbon monoxide concentration normal data, and if the carbon monoxide concentration deviation rate is not in the corresponding deviation interval, the carbon monoxide concentration collected at the moment t is the carbon monoxide concentration abnormal data;
similarly, sulfur dioxide concentration normal data, sulfur dioxide concentration abnormal data, ozone concentration normal data, ozone concentration abnormal data, nitrogen oxide concentration normal data and nitrogen oxide concentration abnormal data are obtained;
the method comprises the steps of summarizing carbon monoxide concentration normal data, sulfur dioxide concentration normal data, ozone concentration normal data and nitrogen oxide concentration normal data into a normal data set;
and simultaneously, summarizing the carbon monoxide concentration abnormal data, the sulfur dioxide concentration abnormal data, the ozone concentration abnormal data and the nitrogen oxide concentration abnormal data into an abnormal data set.
Further, the analysis process of the particle analysis module is specifically as follows:
acquiring a collected fine particulate matter concentration set, and calculating a fine particulate matter concentration average value of the fine particulate matter concentration set;
acquiring the average value of the concentration of the fine particles in the month which is the same as the time within five years of history;
calculating a fine particulate matter concentration deviation value of the fine particulate matter concentration set;
if the deviation value of the fine particle concentration is smaller than or equal to the fine particle concentration threshold value, the fine particle concentration collected at the moment is fine particle concentration normal data, otherwise, the fine particle concentration collected at the moment is fine particle concentration abnormal data;
and then the normal data of the concentration of the fine particles are summarized into a normal data set and the abnormal data of the concentration of the fine particles are summarized into an abnormal data set.
Further, the carbon monoxide concentration set consists of carbon monoxide concentrations collected by different monitoring devices at the same moment, and the sulfur dioxide concentration set, the ozone concentration set, the nitrogen oxide concentration set and the fine particulate matter concentration set are obtained by the same method;
the normal data set consists of carbon monoxide concentration normal data, sulfur dioxide concentration normal data, ozone concentration normal data, nitrogen oxide concentration normal data and fine particulate matter concentration normal data;
the abnormal data set consists of abnormal data of carbon monoxide concentration, abnormal data of sulfur dioxide concentration, abnormal data of ozone concentration, abnormal data of nitrogen oxide concentration and abnormal data of fine particulate matter concentration.
Further, the working process of the determining unit is specifically as follows:
acquiring the total collection times of the atmospheric ecological data in the collection period;
then acquiring a normal data set and an abnormal data set, counting the times of carbon monoxide concentration abnormal data, sulfur dioxide concentration abnormal data, ozone concentration abnormal data, nitrogen oxide concentration abnormal data and fine particulate matter concentration abnormal data in the acquisition period, adding and summing the times of carbon monoxide concentration abnormal data, sulfur dioxide concentration abnormal data, ozone concentration abnormal data, nitrogen oxide concentration abnormal data and fine particulate matter concentration abnormal data to obtain the times of abnormal data of the atmospheric ecological data in the acquisition period;
a data quality score for the atmospheric ecological data over the acquisition period is calculated.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:
according to the invention, firstly, equipment conditions of monitoring equipment in an atmosphere ecological monitoring station are analyzed through an equipment analysis module, equipment normal signals or equipment abnormal signals are generated, if the equipment normal signals are generated, the gas analysis module is utilized to analyze the gas conditions in the atmosphere ecological monitoring station monitoring area, then the particle analysis module is utilized to analyze the particle conditions in the atmosphere ecological monitoring station monitoring area, so that a normal data set and an abnormal data set of atmosphere ecological data in the atmosphere ecological monitoring station monitoring area are obtained through analysis, the normal data set and the abnormal data set are sent to a determining unit, the data quality of the atmosphere ecological data monitored in an acquisition period is confirmed through the determining unit, the data quality score of the atmosphere ecological data in the acquisition period is obtained, and the quality of the ecological data monitored by the ecological monitoring station is identified.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
Example 1
Referring to fig. 1 and 2, the invention provides an intelligent monitoring method for ecologically monitoring data quality of a station, which comprises the following specific steps:
step S10, a data acquisition module acquires real-time equipment data of monitoring equipment in an atmosphere ecological monitoring station at different time points and sends the real-time equipment data to an equipment analysis module, and the equipment analysis module analyzes equipment conditions of the monitoring equipment in the atmosphere ecological monitoring station to generate equipment normal signals or equipment abnormal signals;
step S20, if an equipment abnormal signal is generated, overhauling corresponding monitoring equipment in the atmosphere ecological monitoring station, and if an equipment normal signal is generated, acquiring atmosphere ecological data of a monitoring area corresponding to the atmosphere ecological monitoring station by utilizing a data acquisition module;
step S30, a gas analysis module analyzes the gas condition in the monitoring area of the atmospheric ecological monitoring station, and a particle analysis module analyzes the particle condition in the monitoring area of the atmospheric ecological monitoring station, so that a normal data set and an abnormal data set are obtained through analysis and sent to a determination unit;
step S40, the determining unit confirms the data quality of the atmospheric ecological data monitored in the acquisition period, obtains the data quality score of the atmospheric ecological data in the acquisition period, and sends the data quality score to the display terminal, and the display terminal displays the data quality score of the atmospheric ecological data in the acquisition period by the ecological monitoring station;
as shown in fig. 2, the intelligent monitoring method involves a device analysis module, a data acquisition module, a data analysis module, a determination unit, a database and a display terminal;
the intelligent monitoring method of the ecological monitoring station data quality is used for monitoring the data of different ecological monitoring stations, wherein the ecological monitoring stations comprise an atmosphere detection station, a water quality monitoring station, a soil detection station, a biodiversity monitoring station and the like;
in the invention, the ecological monitoring station is preferably an atmospheric ecological monitoring station, and the atmospheric ecological monitoring station is used for monitoring the atmospheric quality of a monitoring area, so that the atmospheric monitoring station is selected as an example for carrying out the following explanation of the invention, and the data acquired at the moment t is taken as an example for analysis during the following explanation because of the acquisition of multiple data in one period;
the data acquisition module is used for acquiring real-time equipment data of monitoring equipment in the atmosphere ecological monitoring station at different time points and sending the real-time equipment data to the equipment analysis module;
the real-time equipment data are a real-time current value and a real-time voltage value of the monitoring equipment;
the equipment analysis module is used for analyzing equipment conditions of monitoring equipment in the atmosphere ecological monitoring station, and the analysis process is specifically as follows:
acquiring real-time current values and real-time voltage values of monitoring equipment in an atmosphere ecological monitoring station at different time points;
adding and summing the real-time current values of the monitoring equipment in the atmosphere ecological monitoring station at different time points to obtain a current average value, subtracting the real-time current value from the current average value and taking the absolute value to obtain a current floating value DLo of the monitoring equipment in the atmosphere ecological monitoring station at different time points;
similarly, the voltage floating values DYo of the monitoring equipment in the atmosphere ecological monitoring station at different time points are obtained in the above manner, o is the number of the time points, o=1, 2, … …, and z is a positive integer;
acquiring a current floating interval and a voltage floating interval stored in a database;
if the current floating values of the monitoring equipment in the atmosphere ecological monitoring station are in the current floating interval when all time points are met and the voltage floating values of the monitoring equipment in the atmosphere ecological monitoring station are in the voltage floating interval when all time points are met, generating equipment normal signals;
if the current floating value of the monitoring equipment in the atmosphere ecological monitoring station is not in the current floating region when the current floating value of the monitoring equipment in the atmosphere ecological monitoring station is not in the voltage floating region when the current floating value is not in the current floating region or the voltage floating value of the monitoring equipment in the atmosphere ecological monitoring station is not in the voltage floating region when the current floating value is not in the voltage floating region is not in the current floating region;
if the equipment normal signal is generated, the following steps are carried out, and if the equipment abnormal signal is generated, the corresponding monitoring equipment in the atmosphere ecological monitoring station is overhauled;
when data are collected, the data collection module is used for collecting the atmospheric ecological data of the monitoring area corresponding to the atmospheric ecological monitoring station and sending the collected atmospheric ecological data to the data analysis module;
the data acquisition module takes a week as an acquisition period, utilizes related monitoring equipment to acquire various data in the ecological environment, for example, the data acquisition module involved in the process of an atmospheric ecological monitoring station can be a gas analyzer, a particulate matter sampler and the like, the atmospheric ecological data are carbon monoxide concentration, sulfur dioxide concentration, ozone concentration, nitrogen oxide concentration and fine particulate matter concentration of a monitoring area corresponding to the atmospheric ecological monitoring station, wherein the fine particulate matter is particulate matter with an air dynamic equivalent diameter of less than or equal to 2.5 microns in ambient air, can suspend in the air for a long time, and represents that the more serious air pollution is when the content concentration in the air is higher;
it should be noted that, because errors may occur in the data collected at the same time, the data collection module uses parallel data collection when collecting, that is, multiple groups of monitoring devices are used at the same time to collect the atmospheric ecological data in the same area range, so that each item of data in the atmospheric ecological data is obtained in groups at each time, and a set of parameters in the atmospheric ecological data is obtained, for example:
collecting atmospheric ecological data at a time t, wherein the concentration set of carbon monoxide content in the atmospheric ecological data is coti= { COt1, COt2, COt3, … … COtn }, wherein the time t is any time in a collecting period, COt1 is the concentration of carbon monoxide collected by a first group of monitoring devices at the time t, COt2 is the concentration of carbon monoxide collected by a second group of monitoring devices at the time t, COtn is the concentration of carbon monoxide collected by an nth group of monitoring devices at the time t, i=1, 2, … … n, n is a positive integer, and i represents the group number of the monitoring instrument;
in this embodiment, the data analysis module includes a gas analysis module and a particle analysis module, where the gas analysis module is used to analyze the gas condition in the monitoring area of the atmospheric ecology monitoring station, and the analysis process is specifically as follows:
step S1, acquiring a collected carbon monoxide concentration set COti and a sulfur dioxide concentration set SO 2 ti, ozone concentration set O 3 ti and a set of nitrogen oxide concentrations, nopi;
step S2, adding and summing the carbon monoxide concentrations collected by each monitoring device in the carbon monoxide concentration set to obtain a mean value COt [ p ] of the carbon monoxide concentration of the carbon monoxide set, and calculating through a formula to obtain a standard deviation of the carbon monoxide concentration set, wherein the formula is specifically as follows:
step S3, calculating a carbon monoxide concentration deviation rate PC [ COt ] of the carbon monoxide concentration set at the time t by using a formula, wherein the formula is specifically as follows:
PC [ COt ] = (COt [ max ] -COt [ min ]) x COt [ b ]; wherein COt [ max ] is the maximum value of the carbon monoxide concentration collected by the monitoring equipment in the carbon monoxide concentration set, COt [ min ] is the minimum value of the carbon monoxide concentration collected by the monitoring equipment in the carbon monoxide concentration set;
step S4, similarly, calculating the deviation rate PC [ SO ] of the sulfur dioxide concentration set at the time t 2 t]Ozone concentration deviation rate PC [ O ] of ozone concentration set 3 t]NOx concentration bias ratio PC [ NOt ] of NOx concentration set]；
Step S5, if the carbon monoxide concentration deviation rate is in the corresponding deviation interval, the carbon monoxide concentration collected at the moment t is the carbon monoxide concentration normal data, and if the carbon monoxide concentration deviation rate is not in the corresponding deviation interval, the carbon monoxide concentration collected at the moment t is the carbon monoxide concentration abnormal data;
similarly, sulfur dioxide concentration normal data, sulfur dioxide concentration abnormal data, ozone concentration normal data, ozone concentration abnormal data, nitrogen oxide concentration normal data and nitrogen oxide concentration abnormal data are obtained;
step S6, the carbon monoxide concentration normal data, the sulfur dioxide concentration normal data, the ozone concentration normal data and the nitrogen oxide concentration normal data are summarized into a normal data set;
simultaneously, the abnormal data of the carbon monoxide concentration, the abnormal data of the sulfur dioxide concentration, the abnormal data of the ozone concentration and the abnormal data of the nitrogen oxide concentration are summarized into an abnormal data set;
the particle analysis module is used for analyzing the particle condition in the monitoring area of the atmosphere ecological monitoring station, and the analysis process is specifically as follows:
step W1, acquiring a collected fine particulate matter concentration set PMti, and then calculating a fine particulate matter concentration mean value PMp of the fine particulate matter concentration set;
step W2, acquiring a mean value of the concentration of the fine particles in five years of history, wherein the mean value is the same as the month of the time t;
for example, if the time t is one of six months of a year, the average value of the concentration of the fine particulate matters in each six months in five years is obtained;
step W3, calculating to obtain a fine particulate matter concentration deviation value PC [ PMt ] of the fine particulate matter concentration set by a formula, wherein the formula is specifically as follows:
wherein PMav is a month fine particulate matter concentration average value, PMa1 is a month fine particulate matter concentration average value of the last year, PMa1 is a month fine particulate matter concentration average value of the first two years, and so on, PMa5 is a month fine particulate matter concentration average value of the first five years, v=1, 2,3,4,5;
if PC [ PMt ] is less than or equal to PMy, determining that the concentration of the fine particles collected at the moment t is fine particle concentration normal data, otherwise, determining that the concentration of the fine particles collected at the moment t is fine particle concentration abnormal data;
wherein PMy is a fine particulate matter concentration threshold preset in a database, and the value of the fine particulate matter concentration threshold is scientifically set according to data and a system;
step W4, the normal data of the concentration of the fine particles are summarized into a normal data set, and the abnormal data of the concentration of the fine particles are summarized into an abnormal data set;
the data analysis module sends the normal data set and the abnormal data set to the determining unit, and the determining unit is used for determining the data quality of the atmospheric ecological data monitored in the acquisition period, and the working process is as follows:
acquiring the total collection times ZCS of the atmospheric ecological data in the collection period;
then acquiring a normal data set and an abnormal data set, counting the times of carbon monoxide concentration abnormal data, sulfur dioxide concentration abnormal data, ozone concentration abnormal data, nitrogen oxide concentration abnormal data and fine particulate matter concentration abnormal data in the acquisition period, adding and summing the times of carbon monoxide concentration abnormal data, sulfur dioxide concentration abnormal data, ozone concentration abnormal data, nitrogen oxide concentration abnormal data and fine particulate matter concentration abnormal data to obtain the abnormal data times YCS of the atmospheric ecological data in the acquisition period;
for example, the number of times of abnormal data for carbon monoxide is 18 times, and the number of times of abnormal data for ozone is 15 times, the number of times of abnormal data YCSj of the atmospheric ecological data in the acquisition period is 33 times;
calculating a data quality score PF of the atmospheric ecological data in the acquisition period through a formula;
the formula is specifically as follows: pf=ycs/ZCS;
the determining unit sends the data quality scores of the atmospheric ecological data in the acquisition period to the display terminal, the display terminal is arranged in the ecological monitoring station, and the display terminal is used for displaying the data quality scores of the atmospheric ecological data in the acquisition period of the ecological monitoring station;
in the embodiment, firstly, equipment conditions of monitoring equipment in an atmosphere ecological monitoring station are analyzed through an equipment analysis module, equipment normal signals or equipment abnormal signals are generated, if the equipment normal signals are generated, the gas analysis module is utilized to analyze the gas conditions in the atmosphere ecological monitoring station monitoring area, then the particle analysis module is utilized to analyze the particle conditions in the atmosphere ecological monitoring station monitoring area, so that a normal data set and an abnormal data set of atmosphere ecological data in the atmosphere ecological monitoring station monitoring area are obtained through analysis, the normal data set and the abnormal data set are sent to a determining unit, the data quality of the atmosphere ecological data monitored in an acquisition period is confirmed through the determining unit, and a data quality score of the atmosphere ecological data in the acquisition period is obtained, so that quality identification of the ecological data obtained by the monitoring of the ecological monitoring station is realized;
in the present application, if a corresponding calculation formula appears, the above calculation formulas are all dimensionality-removed and numerical calculation, and the size of the weight coefficient, the scale coefficient and other coefficients existing in the formulas is a result value obtained by quantizing each parameter, so long as the proportional relation between the parameter and the result value is not affected.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (8)

1. The intelligent monitoring method for the data quality of the ecological monitoring station is characterized by comprising the following steps of:
step S10, a data acquisition module acquires real-time equipment data of monitoring equipment in an atmosphere ecological monitoring station at different time points and sends the real-time equipment data to an equipment analysis module, and the equipment analysis module analyzes equipment conditions of the monitoring equipment in the atmosphere ecological monitoring station to generate equipment normal signals or equipment abnormal signals;
step S20, if an equipment abnormal signal is generated, overhauling corresponding monitoring equipment in the atmosphere ecological monitoring station, and if an equipment normal signal is generated, acquiring atmosphere ecological data of a monitoring area corresponding to the atmosphere ecological monitoring station by utilizing a data acquisition module;
step S30, a gas analysis module analyzes the gas condition in the monitoring area of the atmospheric ecological monitoring station, and a particle analysis module analyzes the particle condition in the monitoring area of the atmospheric ecological monitoring station, so that a normal data set and an abnormal data set are obtained through analysis and sent to a determination unit;
and S40, the determining unit confirms the data quality of the atmospheric ecological data monitored in the acquisition period, the data quality scores of the atmospheric ecological data in the acquisition period are obtained and sent to the display terminal, and the display terminal displays the data quality scores of the atmospheric ecological data in the acquisition period of the ecological monitoring station.
2. The intelligent monitoring method for the data quality of the ecological monitoring station according to claim 1, wherein the real-time equipment data are a real-time current value and a real-time voltage value of the monitoring equipment.
3. The intelligent monitoring method for data quality of an ecological monitoring station according to claim 1, wherein the analysis process of the equipment analysis module is specifically as follows:
acquiring real-time current values and real-time voltage values of monitoring equipment in an atmosphere ecological monitoring station at different time points;
adding and summing the real-time current values of the monitoring equipment in the atmosphere ecological monitoring station at different time points to obtain a current average value, subtracting the real-time current value from the current average value and taking the absolute value to obtain a current floating value of the monitoring equipment in the atmosphere ecological monitoring station at different time points;
similarly, the voltage floating value of the monitoring equipment in the atmosphere ecological monitoring station at different time points is obtained in the mode;
acquiring a current floating interval and a voltage floating interval stored in a database;
if the current floating values of the monitoring equipment in the atmosphere ecological monitoring station are in the current floating interval when all time points are met and the voltage floating values of the monitoring equipment in the atmosphere ecological monitoring station are in the voltage floating interval when all time points are met, generating equipment normal signals;
if the current floating value of the monitoring equipment in the atmosphere ecological monitoring station is not in the current floating region when any time point is met or the voltage floating value of the monitoring equipment in the atmosphere ecological monitoring station is not in the voltage floating region when any time point is met, generating an equipment abnormal signal.
4. The intelligent monitoring method for the data quality of the ecological monitoring station according to claim 1, wherein the atmospheric ecological data is carbon monoxide concentration, sulfur dioxide concentration, ozone concentration, nitrogen oxide concentration and fine particulate matter concentration of a corresponding monitoring area of the atmospheric ecological monitoring station.
5. The intelligent monitoring method for data quality of an ecological monitoring station according to claim 1, wherein the analysis process of the gas analysis module is specifically as follows:
acquiring a collected carbon monoxide concentration set, a sulfur dioxide concentration set, an ozone concentration set and a nitrogen oxide concentration set;
adding and summing the carbon monoxide concentrations collected by each monitoring device in the carbon monoxide concentration set to obtain a mean value of the carbon monoxide concentrations of the carbon monoxide set, and then calculating the standard deviation of the carbon monoxide concentrations of the carbon monoxide concentration set;
then calculating the carbon monoxide concentration deviation rate of the carbon monoxide concentration set at the moment, and similarly calculating the sulfur dioxide concentration deviation rate of the sulfur dioxide concentration set, the ozone concentration deviation rate of the ozone concentration set and the nitrogen oxide concentration deviation rate of the nitrogen oxide concentration set at the same moment;
if the carbon monoxide concentration deviation rate is in the corresponding deviation interval, the carbon monoxide concentration collected at the moment t is the carbon monoxide concentration normal data, and if the carbon monoxide concentration deviation rate is not in the corresponding deviation interval, the carbon monoxide concentration collected at the moment t is the carbon monoxide concentration abnormal data;
similarly, sulfur dioxide concentration normal data, sulfur dioxide concentration abnormal data, ozone concentration normal data, ozone concentration abnormal data, nitrogen oxide concentration normal data and nitrogen oxide concentration abnormal data are obtained;
the method comprises the steps of summarizing carbon monoxide concentration normal data, sulfur dioxide concentration normal data, ozone concentration normal data and nitrogen oxide concentration normal data into a normal data set;
and simultaneously, summarizing the carbon monoxide concentration abnormal data, the sulfur dioxide concentration abnormal data, the ozone concentration abnormal data and the nitrogen oxide concentration abnormal data into an abnormal data set.
6. The intelligent monitoring method for data quality of an ecological monitoring station according to claim 5, wherein the analysis process of the particle analysis module is specifically as follows:
acquiring a collected fine particulate matter concentration set, and calculating a fine particulate matter concentration average value of the fine particulate matter concentration set;
acquiring the average value of the concentration of the fine particles in the month which is the same as the time within five years of history;
calculating a fine particulate matter concentration deviation value of the fine particulate matter concentration set;
if the deviation value of the fine particle concentration is smaller than or equal to the fine particle concentration threshold value, the fine particle concentration collected at the moment is fine particle concentration normal data, otherwise, the fine particle concentration collected at the moment is fine particle concentration abnormal data;
and then the normal data of the concentration of the fine particles are summarized into a normal data set and the abnormal data of the concentration of the fine particles are summarized into an abnormal data set.
7. The intelligent monitoring method for the data quality of the ecological monitoring station according to claim 6, wherein the carbon monoxide concentration set is composed of carbon monoxide concentrations collected by different monitoring devices at the same moment, and the sulfur dioxide concentration set, the ozone concentration set, the nitrogen oxide concentration set and the fine particulate matter concentration set are obtained in the same way;
the normal data set consists of carbon monoxide concentration normal data, sulfur dioxide concentration normal data, ozone concentration normal data, nitrogen oxide concentration normal data and fine particulate matter concentration normal data;
the abnormal data set consists of abnormal data of carbon monoxide concentration, abnormal data of sulfur dioxide concentration, abnormal data of ozone concentration, abnormal data of nitrogen oxide concentration and abnormal data of fine particulate matter concentration.
8. The intelligent monitoring method of the data quality of the ecological monitoring station according to claim 1, wherein the working process of the determining unit is specifically as follows:
acquiring the total collection times of the atmospheric ecological data in the collection period;
then acquiring a normal data set and an abnormal data set, counting the times of carbon monoxide concentration abnormal data, sulfur dioxide concentration abnormal data, ozone concentration abnormal data, nitrogen oxide concentration abnormal data and fine particulate matter concentration abnormal data in the acquisition period, adding and summing the times of carbon monoxide concentration abnormal data, sulfur dioxide concentration abnormal data, ozone concentration abnormal data, nitrogen oxide concentration abnormal data and fine particulate matter concentration abnormal data to obtain the times of abnormal data of the atmospheric ecological data in the acquisition period;
a data quality score for the atmospheric ecological data over the acquisition period is calculated.
CN202311393316.7A 2023-10-25 2023-10-25 Intelligent monitoring method for data quality of ecological monitoring station Pending CN117451935A (en)

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