CN113655189A - Automatic monitoring data analysis and judgment system for pollution source - Google Patents
Automatic monitoring data analysis and judgment system for pollution source Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 39
- 238000007405 data analysis Methods 0.000 title claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims abstract description 82
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 20
- 239000001301 oxygen Substances 0.000 claims abstract description 20
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 20
- 239000002351 wastewater Substances 0.000 claims abstract description 17
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims abstract description 13
- 239000003546 flue gas Substances 0.000 claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000035772 mutation Effects 0.000 claims abstract description 7
- 238000007619 statistical method Methods 0.000 claims abstract description 7
- 238000009825 accumulation Methods 0.000 claims abstract description 4
- 238000005070 sampling Methods 0.000 claims description 22
- 230000008859 change Effects 0.000 claims description 16
- 239000002912 waste gas Substances 0.000 claims description 16
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 11
- 238000012423 maintenance Methods 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 239000010865 sewage Substances 0.000 claims description 6
- 239000007789 gas Substances 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000004519 manufacturing process Methods 0.000 claims description 4
- 230000008094 contradictory effect Effects 0.000 claims description 3
- 238000010790 dilution Methods 0.000 claims description 3
- 239000012895 dilution Substances 0.000 claims description 3
- 230000003467 diminishing effect Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000003908 quality control method Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000002950 deficient Effects 0.000 abstract 1
- 239000000523 sample Substances 0.000 description 7
- 239000000243 solution Substances 0.000 description 7
- 230000007613 environmental effect Effects 0.000 description 5
- 230000000670 limiting effect Effects 0.000 description 2
- 239000013062 quality control Sample Substances 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
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- 230000000717 retained effect Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000003911 water pollution Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—Specially adapted to detect a particular component
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/20—Controlling water pollution; Waste water treatment
Abstract
The invention discloses an automatic pollution source monitoring data analysis and judgment system, which relates to the technical field of pollution source monitoring and comprises a direct alarm judgment model and an analysis alarm judgment model, wherein the model analyzes the size of illegal suspicion for different data expression forms, gives different alarm values, carries out alarm value accumulation statistics on the same object in a period of statistics, and sets an alarm level according to the values. The direct alarm judging model can directly alarm the excessive data and the deficient data; analyzing an alarm judgment model, including general analysis judgment, extended analysis judgment and regularity statistical analysis judgment; comprehensively judging the expression form of the conventional online factor data by combining the data expression of other online factors; the expression forms comprise standard exceeding, data missing, constant value, zero value, line dropping and data mutation; the other factors include other pollution factors, wastewater flow, flue gas flow and oxygen content. Has the following beneficial effects: (1) the effect is excellent according to local conditions; (2) based on practice, the method is flexible; (3) the analysis result is accurate; (4) the alarm level is easily identified.
Description
Technical Field
The invention relates to the technical field of pollution source monitoring, in particular to an automatic pollution source monitoring data analysis and judgment system.
Background
In recent years, the department of ecological environment pays attention to online data (pollution sources automatic monitoring data), but because of a series of reasons such as weak enterprise consciousness, insufficient hands of environmental protection departments, limited professions and the like, how to utilize the online data to assist accurate law enforcement becomes a problem which is troublesome for all levels of environmental protection departments.
At present, a lot of problems exist in the application and research of automatic pollution source monitoring data nationwide, but a systematic theoretical system or a data analysis model which accords with local characteristics and can be practically applied to first-line law enforcement is lacked, so that a large amount of online data not only can not achieve the purpose of assisting accurate law enforcement, but also additional workload is increased. In addition, at present, domestic online related data analysis or law enforcement guide materials are mostly based on the pure technology or the pure law, online data change conditions and actual pollution discharge conditions are not combined for analysis, a large amount of online data are true, and the data are represented in a form which is an environmental illegal clue and always puzzles environmental protection front-line law enforcement personnel.
Disclosure of Invention
1. Technical problem to be solved by the invention
Aiming at the technical problems that a theoretical system or a data analysis model which is systematized for automatically monitoring the pollution source, accords with local characteristics and can be practically applied to first-line law enforcement is lacked, the invention provides an automatic pollution source monitoring data analysis and judgment system, which establishes a model analysis framework based on the basic situation of on-site on-line data; based on law enforcement inspection experience; the intelligent environmental protection type item data and other Internet of things sensor acquisition data are combined, and the extended analysis of an online data analysis model is added; on-site inspection guidelines and enforcement evidence points can be obtained; and establishing an execution interaction mechanism, feeding back in the practical application process, and continuously optimizing the model.
2. Technical scheme
In order to solve the problems, the technical scheme provided by the invention is as follows:
the pollution source automatic monitoring data analysis and judgment system comprises a direct alarm judgment model and an analysis alarm judgment model, and alarm grades are set according to the accumulation of alarm values;
the direct alarm judgment model is used for monitoring pollution factors and data volume, the pollution factors exceed the execution standard to carry out overproof alarm, and the data volume is less than the number of data to be uploaded in a fixed time period to carry out data lack alarm;
analyzing an alarm judgment model, including general analysis judgment, extended analysis judgment and regularity statistical analysis judgment;
general analysis and judgment are used for monitoring constant values, zero values and data mutation of sewage pollution factors and waste gas pollution factors;
the judgment method of the analysis alarm judgment model comprises the steps of judging whether the fluctuation is smaller than a set range in a set time period, whether the fluctuation is in a zero value or a minimum value in the set time period and whether the fluctuation is greatly changed in the set time period, and comprehensively judging by combining the expression form of the conventional on-line factor data with the data expression of other on-line factors;
the expression forms comprise standard exceeding, data missing, constant value, zero value, line dropping and data mutation;
the other factors include other pollution factors, wastewater flow, flue gas flow and oxygen content.
Optionally, the fluctuation of the sewage pollution factor in the set time period is smaller than the set range includes the following conditions:
other factors normally fluctuate, and the analysis result indicates that a false water sample or data counterfeiting suspicion exists inside the instrument or the factor instrument fails;
the constant value is a critical standard exceeding value, and the analysis result sets a data upper limit for the instrument;
the flow is not zero and all other factors are constant values, and the analysis result is that a sampling pipeline or a sampling pump is falsified or fixed constant values are uploaded to data acquisition or the sampling pump fails;
the flow is zero, all other factors are constant values, the analysis result is that false data is fixedly uploaded by data collection, and the enterprise does not drain water, so that a sample is not collected or a water sample is collected to a discharge port and stays.
Optionally, the fluctuation of the exhaust pollution factor in the set time period is smaller than the set range includes the following cases;
other factors normally fluctuate, the oxygen content is smaller than the air value, the flow rate or the flow velocity of the flue gas is not zero, and the analysis result shows that the internal data of the instrument is suspected to be fake or the instrument of the factor has a fault;
other factors are constant, the oxygen content is less than the air value, the flow rate or the flow velocity of the flue gas is not zero, and the analysis result shows that the fixed false data uploaded by the data acquisition is suspected;
the constant value is a critical standard exceeding value, and the analysis result sets an upper limit for the data set by the instrument.
Optionally, the wastewater pollution factor is at a zero value or a minimum value in a set time period, other factors are not zero, normal fluctuation exists, the flow is not zero, and the analysis result is that single-factor data is falsified or an instrument fault is detected or zero calibration of the instrument is not standard or the instrument range is set too large.
Optionally, the exhaust gas pollution factor is zero or minimum in a set time period, other factors are not zero, the oxygen content is smaller than the maximum value of the historical data, the flow rate or the flow velocity of the flue gas is not zero, and the analysis result shows that the sampled gas exists in a filtering or absorbing device or a serious U-shaped pipe phenomenon exists or the single-factor testing instrument fails.
Alternatively, the wastewater pollution factor is changed greatly within a set time, and the following conditions are present:
the change time is less than the sampling time interval, and the constant value of the subsequent factor index continuously exceeds 2 cycles, and the analysis result is that the false man-made interference instrument is made to normally sample;
the variation time is equal to the sampling time interval, the constant value of the subsequent factor index continuously exceeds 2 periods, the flow is not zero, and the analysis result is a false interference sampling link;
the change time is equal to the sampling time interval, the next period is reduced by more than 50%, normal fluctuation exists subsequently, the flow is not zero, and dilution and discharge are suspected.
Optionally, the exhaust factor is changed greatly within a set time, the subsequent factor index constant value exceeds the exhaust constant value parameter, and the subsequent factor index fluctuates normally, so that the analysis result is suspected to be data transmission;
the data change logics of the waste gas and waste water factors are contradictory, the flow is not zero, the oxygen content of the waste gas is less than the oxygen content of the air, and the false suspicion or instrument failure exists in the instrument with the analysis result of the diminishing trend;
and the data of the waste gas and waste water factors are disconnected, the data are disconnected when exceeding the standard or exceeding the critical value, and the power is intentionally cut off or the data transmission line is pulled out to avoid supervision or instrument faults.
Optionally, the extended analysis and judgment is combined with an operation and maintenance record table, and is used for removing fault interference of an instrument;
the expansion analysis and judgment are linked with data change according to enterprise video monitoring or abnormal capture of an access control system, and an alarm is given;
the expansion analysis and judgment artificially groups enterprises in the same industry, similar production processes and treatment processes according to enterprise expansion information and field inspection conditions, and the model compares the emission conditions of the enterprises in the same group to find out an outlier and give an alarm.
Optionally, the regularity statistical analysis judges and counts data of the pollution factors in the statistical items and corresponds to specific time;
the statistical items comprise the times of quality control samples exceeding or approaching to exceed the standard, the time of missing data exceeding or approaching to exceed the standard, the times of remarking faults when exceeding the standard, the time when the flow is not zero and the discharge time in a special time period which is more than 50 percent.
Optionally, the analysis condition of the regularity summarizing alarm with the special period emission duration being greater than 50% comprises that more than 80% of emission time is in the special time and the alarm with the special time exists, more than 80% of emission time is in the special time and the early-stage alarm with the special time does not exist, and whether the early-stage alarm with the special time exists is determined.
3. Advantageous effects
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
(1) the automatic monitoring data analysis and judgment system for the pollution source provided by the embodiment of the application has excellent effect according to local conditions.
(2) The automatic monitoring data analysis and judgment system for the pollution source is based on practice and flexible in method.
(3) The automatic monitoring data analysis and judgment system for the pollution source, provided by the embodiment of the application, has accurate analysis results.
(4) The pollution source automatic monitoring data analysis and judgment system provided by the embodiment of the application is easy to identify the alarm level.
Drawings
Fig. 1 is a block diagram of an analysis and judgment system for automatic monitoring data of a pollution source according to an embodiment of the present invention.
Detailed Description
For a further understanding of the present invention, reference will now be made in detail to the embodiments illustrated in the drawings.
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. The terms first, second, and the like in the present invention are provided for convenience of describing the technical solution of the present invention, and have no specific limiting effect, but are all generic terms, and do not limit the technical solution of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art. The technical solutions in the same embodiment and the technical solutions in different embodiments can be arranged and combined to form a new technical solution without contradiction or conflict, and the technical solutions are within the scope of the present invention.
Examples
With reference to the attached drawing 1, the pollution source automatic monitoring data analysis and judgment system comprises a direct alarm judgment model and an analysis alarm judgment model, wherein the models analyze the size of the illegal suspicion for different data phenotype forms, give different alarm scores, perform alarm score accumulation statistics on the same object in a period of statistics, and set alarm levels according to the scores;
the system is internally provided with some key parameters, the key parameters refer to reference values used in the process of analyzing the online data by the analysis model, and the parameters can be locally optimized and configured according to the actual conditions of various places, so that the universality of the model is ensured.
The key parameters can be divided into pollution source parameters for individually configuring each pollution source and general parameters for the whole model according to different configurability.
Key parameters include emission standards, industry type, custom groupings, emission directions, water sources, oxygen content monitoring locations, historical data reference values, and wastewater pollution factor sampling time intervals.
The following is a table 1 general parameter configuration table (parameter values are default values, which can be fine-tuned according to the actual):
the direct alarm judgment model is used for monitoring pollution factors and data volume, the pollution factors exceed the execution standard to carry out overproof alarm, and the data volume is less than the number of data to be uploaded in a fixed time period to carry out data lack alarm;
the following is a table 2 direct alarm table:
analyzing an alarm judgment model, including general analysis judgment, extended analysis judgment and regularity statistical analysis judgment;
general analysis and judgment are used for monitoring constant values, zero values and data mutation of sewage pollution factors and waste gas pollution factors;
the judgment method of the analysis alarm judgment model comprises the steps of judging whether the fluctuation is smaller than a set range in a set time period, whether the fluctuation is in a zero value or a minimum value in the set time period and whether the fluctuation is greatly changed in the set time period, and comprehensively judging by combining the expression form of the conventional on-line factor data with the data expression of other on-line factors;
the expression forms comprise standard exceeding, data missing, constant value, zero value, line dropping and data mutation;
the other factors include other pollution factors, wastewater flow, flue gas flow and oxygen content.
The fluctuation of the sewage pollution factor in the set time period is smaller than the set range, and the method comprises the following conditions:
other factors normally fluctuate, the analysis result is that a false water sample or data counterfeiting suspicion in the instrument exists and the factor instrument fails, and the alarm score is 3;
the constant value is a critical standard exceeding value, the analysis result sets a data upper limit for the instrument, and the alarm score is 3 points;
the flow is not zero and all other factors are constant values, the analysis result is that a sampling pipeline or a sampling pump is falsified or fixed constant values are uploaded to data acquisition or the sampling pump fails, and the alarm score is 2 points;
the flow is zero, all other factors are constant values, the analysis result is that false data are uploaded fixedly after data acquisition, no sample is acquired or a water sample is retained after the water is acquired from a discharge port due to no drainage of an enterprise, and the alarm score is 1.
The fluctuation of the waste gas pollution factor in the set time period is smaller than the set range, including the following conditions;
other factors normally fluctuate, the oxygen content is smaller than the air value, the flow rate or the flow velocity of the flue gas is not zero, the analysis result shows that the internal data of the instrument is suspected to be fake or the factor instrument fails, and the alarm score is 3;
other factors are constant, the oxygen content is less than the air value, the flow rate or the flow velocity of the flue gas is not zero, the analysis result is that the existence of the suspicion of fixed false data uploaded by the data acquisition and the alarm score is 2 points;
the constant value is a critical standard exceeding value, the analysis result sets an upper limit for the data set by the instrument, and the alarm score is 2.
The waste water pollution factor is in a zero value or a minimum value in a set time period, other factors are not zero and have normal fluctuation, the flow is not zero, the analysis result is that single factor data is falsified or an instrument is failed or the zero calibration of the instrument is not standard or the instrument range is set to be overlarge, and the alarm score is 3.
The waste gas pollution factor is in a zero value or a minimum value in a set time period, other factors are not zero, the oxygen content is smaller than the maximum value of historical data, the flow rate or the flow velocity of the flue gas is not zero, the analysis result shows that the sampled gas exists in a filtering or absorbing device or a serious U-shaped tube phenomenon exists or a single-factor testing instrument fails, and the alarm score is 3.
The wastewater pollution factor is greatly changed within a set time, and the following conditions exist:
the change time is less than the sampling time interval, the constant value of the subsequent factor index continuously exceeds 2 periods, the analysis result is that the false interference instrument is made normally, and the alarm score is 4 points;
the change time is equal to the sampling time interval, the constant value of the subsequent factor index continuously exceeds 2 periods, the flow is not zero, the analysis result is that false interference is made, the sampling link is interfered, and the alarm score is 3;
the change time is equal to the sampling time interval, the next period is reduced by more than 50%, normal fluctuation exists subsequently, the flow is not zero, dilution discharge is suspected, and the alarm score is 2.
The waste gas factor is greatly changed within a set time, the constant value of the index of the subsequent factor exceeds the constant value parameter of the waste gas, the index of the subsequent factor has normal fluctuation, the analysis result is that data transmission is suspected, and the alarm score is 4;
the data change logics of the waste gas and wastewater factors are contradictory, the flow is not zero, the oxygen content of the waste gas is less than the oxygen content of the air, the false suspicion or the instrument failure exists in the instrument with the analysis result of the diminishing trend, and the alarm score is 2;
the data of the waste gas and waste water factors are disconnected, the data are disconnected when exceeding the standard or exceeding the critical value, the power is intentionally cut off or the data transmission line is pulled out to avoid supervision or instrument faults, and the alarm score is 3.
The extended analysis and judgment is combined with the operation and maintenance record table and is used for removing the fault interference of the instrument;
the expansion analysis and judgment are linked with data change according to enterprise video monitoring or abnormal capture of an access control system, and an alarm is given;
the expansion analysis and judgment artificially groups enterprises in the same industry, similar production processes and treatment processes according to enterprise expansion information and field inspection conditions, and the model compares the emission conditions of the enterprises in the same group to find out an outlier and give an alarm.
And operation and maintenance record marking functions of an online platform are developed by part of regional environment protection departments, even intelligent environment protection type information items are developed, and the amount of the enterprise information which can be called is large, so that further expansion analysis can be performed on the model, and the analysis result is more accurate.
The analysis can be divided into two types, one is established on the basis of the alarm result of general analysis and judgment, the alarm accuracy is improved, and the alarm condition can be newly added.
The alarm accuracy is improved:
in the operation and maintenance record table, the maintenance record can be used for alarming in general analysis and judgment to remove instrument fault interference, so that the alarm value is improved;
the non-nano-management condition and the cheap water source condition in the enterprise information can improve the diluted discharge alarm value of the enterprise;
newly adding an alarm:
according to the linkage of abnormal capture and data change of an enterprise video monitoring or access control system, alarming can be carried out (if people go in and out of a monitoring station house or data change obviously after the people appear in a discharge port);
according to the enterprise extension information and the field inspection condition, enterprises in the same industry, similar production processes and similar processing processes are artificially grouped, and the model compares the emission conditions of the enterprises in the same group, finds out an outlier and gives an alarm.
The regularity statistical analysis judges and counts the data of the pollution factors in the statistical items and corresponds to specific time;
the statistical items comprise the times of quality control samples exceeding or approaching to exceed the standard, the time of missing data exceeding or approaching to exceed the standard, the times of remarking faults when exceeding the standard, the time when the flow is not zero and the discharge time in a special time period which is more than 50 percent.
For instruments with too high quality control sample and maintenance frequency, firstly, the instruments are difficult to ensure normal use, and secondly, the suspicion that the instruments are frequently used for reporting or long-time quality control sample regulation and supervision are avoided exists.
The analysis condition of the regularity summarizing alarm with the special time period emission duration being more than 50% comprises that more than 80% of emission time is in the special time and the alarm with the special time exists, more than 80% of emission time is in the special time and the early-stage alarm without the special time exists, and the early-stage alarm with the special time exists or not;
more than 80% of the discharge time is in the special time, and the alarm score of the alarm in the special time is 5 points;
more than 80% of the discharge time is in the special time, and the alarm score of the early-stage alarm without the special time is 4;
the alarm grade of the early-stage alarm in the special time is obtained by adding 1 to the early-stage alarm score;
the alarm score of the early-stage alarm without special time is 2.
The following is a table 3 of the regularity anomaly analysis alarm table (taking one week as a period, if the period is adjusted, the relevant parameters can be adjusted proportionally):
TABLE 4 alarm level configuration Table
The present invention and its embodiments have been described above schematically, without limitation, and what is shown in the drawings is only one of the embodiments of the present invention, and the actual structure is not limited thereto. Therefore, if the person skilled in the art receives the teaching, without departing from the spirit of the invention, the person skilled in the art shall not inventively design the similar structural modes and embodiments to the technical solution, but shall fall within the scope of the invention.
Claims (10)
1. The pollution source automatic monitoring data analysis and judgment system is characterized by comprising a direct alarm judgment model and an analysis alarm judgment model, and alarm grades are set according to the accumulation of alarm values;
the direct alarm judgment model is used for monitoring pollution factors and data volume, the pollution factors exceed the execution standard to carry out overproof alarm, and the data volume is less than the number of data to be uploaded in a fixed time period to carry out data lack alarm;
analyzing an alarm judgment model, including general analysis judgment, extended analysis judgment and regularity statistical analysis judgment;
general analysis and judgment are used for monitoring constant values, zero values and data mutation of sewage pollution factors and waste gas pollution factors;
the judgment method of the analysis alarm judgment model comprises the steps of judging whether the fluctuation is smaller than a set range in a set time period, whether the fluctuation is in a zero value or a minimum value in the set time period and whether the fluctuation is greatly changed in the set time period, and comprehensively judging by combining the expression form of the conventional on-line factor data with the data expression of other on-line factors;
the expression forms comprise standard exceeding, data missing, constant value, zero value, line dropping and data mutation;
the other factors include other pollution factors, wastewater flow, flue gas flow and oxygen content.
2. The system for analyzing and judging the automatic monitoring data of the pollution source according to claim 1, wherein the fluctuation of the sewage pollution factor in the set time period is less than the set range comprises the following conditions:
other factors normally fluctuate, and the analysis result indicates that a false water sample or data counterfeiting suspicion exists inside the instrument or the factor instrument fails;
the constant value is a critical standard exceeding value, and the analysis result sets a data upper limit for the instrument;
the flow is not zero and all other factors are constant values, and the analysis result is that a sampling pipeline or a sampling pump is falsified or fixed constant values are uploaded to data acquisition or the sampling pump fails;
the flow is zero, all other factors are constant values, the analysis result is that false data is fixedly uploaded by data collection, and the enterprise does not drain water, so that a sample is not collected or a water sample is collected to a discharge port and stays.
3. The system for analyzing and judging the automatic monitoring data of the pollution source according to claim 1, wherein the fluctuation of the exhaust pollution factor in the set time period is less than the set range comprises the following conditions;
other factors normally fluctuate, the oxygen content is smaller than the air value, the flow rate or the flow velocity of the flue gas is not zero, and the analysis result shows that the internal data of the instrument is suspected to be fake or the instrument of the factor has a fault;
other factors are constant, the oxygen content is less than the air value, the flow rate or the flow velocity of the flue gas is not zero, and the analysis result shows that the fixed false data uploaded by the data acquisition is suspected;
the constant value is a critical standard exceeding value, and the analysis result sets an upper limit for the data set by the instrument.
4. The system for analyzing and judging the automatic monitoring data of the pollution source according to claim 1, wherein the pollution factor of the wastewater is zero or minimum value in a set time period, other factors are not zero and have normal fluctuation, the flow is not zero, and the analysis result is that single-factor data is falsified or an instrument is out of order or the zero calibration of the instrument is not standard or the range of the instrument is set to be overlarge.
5. The system for analyzing and judging the pollution source automatic monitoring data according to claim 1, wherein the exhaust gas pollution factor is at a zero value or a minimum value in a set time period, other factors are not zero, the oxygen content is smaller than the maximum value of historical data, the flow rate or the flow velocity of the flue gas is not zero, and the analysis result is that the sampled gas exists in a filtering or absorbing device or a serious U-shaped tube phenomenon exists or the single-factor testing instrument fails.
6. The system for analyzing and judging the automatic monitoring data of the pollution source according to claim 1, wherein the pollution factor of the wastewater is greatly changed within a set time, and the following conditions exist:
the change time is less than the sampling time interval, and the constant value of the subsequent factor index continuously exceeds 2 cycles, and the analysis result is that the false man-made interference instrument is made to normally sample;
the variation time is equal to the sampling time interval, the constant value of the subsequent factor index continuously exceeds 2 periods, the flow is not zero, and the analysis result is a false interference sampling link;
the change time is equal to the sampling time interval, the next period is reduced by more than 50%, normal fluctuation exists subsequently, the flow is not zero, and dilution and discharge are suspected.
7. The system for analyzing and judging the automatic monitoring data of the pollution source according to claim 1, wherein the exhaust factor is changed greatly within a set time, the constant value of the subsequent factor index exceeds the constant value parameter of the exhaust and the subsequent factor index fluctuates normally, and the analysis result is suspected to be false in data transmission;
the data change logics of the waste gas and waste water factors are contradictory, the flow is not zero, the oxygen content of the waste gas is less than the oxygen content of the air, and the false suspicion or instrument failure exists in the instrument with the analysis result of the diminishing trend;
and the data of the waste gas and waste water factors are disconnected, the data are disconnected when exceeding the standard or exceeding the critical value, and the power is intentionally cut off or the data transmission line is pulled out to avoid supervision or instrument faults.
8. The pollution source automatic monitoring data analysis and judgment system according to claim 1, wherein the extended analysis and judgment is combined with an operation and maintenance record table for removing instrument fault interference;
the expansion analysis and judgment are linked with data change according to enterprise video monitoring or abnormal capture of an access control system, and an alarm is given;
the expansion analysis and judgment artificially groups enterprises in the same industry, similar production processes and treatment processes according to enterprise expansion information and field inspection conditions, and the model compares the emission conditions of the enterprises in the same group to find out an outlier and give an alarm.
9. The system for analyzing and judging the automatic monitoring data of the pollution source according to claim 1, wherein the regularity statistical analysis judges and counts the data of the pollution factors in the statistical items and corresponds to specific time;
the statistical items comprise the times of quality control samples exceeding or approaching to exceed the standard, the time of missing data exceeding or approaching to exceed the standard, the times of remarking faults when exceeding the standard, the time when the flow is not zero and the discharge time in a special time period which is more than 50 percent.
10. The system for analyzing and judging the automatic monitoring data of the pollution sources according to claim 9, wherein the analysis condition of the regularity summarizing alarm that the emission duration is longer than 50% in the special time period comprises that more than 80% of the emission time is in the special time and the alarm exists in the special time, that more than 80% of the emission time is in the special time and the early-stage alarm does not exist in the special time, and that whether the early-stage alarm exists in the special time.
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