CN111047160A - Pollution cause analysis method and device, readable storage medium and electronic equipment - Google Patents

Pollution cause analysis method and device, readable storage medium and electronic equipment Download PDF

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CN111047160A
CN111047160A CN201911173633.1A CN201911173633A CN111047160A CN 111047160 A CN111047160 A CN 111047160A CN 201911173633 A CN201911173633 A CN 201911173633A CN 111047160 A CN111047160 A CN 111047160A
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CN111047160B (en
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王秀亮
邵千益
闫怀忠
周学华
王兰兰
勾红领
陈福印
张洋
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Shandong Institute Of Atmospheric Environment Science Co Ltd
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Abstract

The embodiment of the invention provides a pollution cause analysis method, a pollution cause analysis device, a readable storage medium and electronic equipment, wherein the method comprises the following steps: when the monitoring point meets the pollution condition, judging whether the pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point; the reference point is in a preset range taking the monitoring point as a center; if the reference point is matched with the pollution monitoring data, pollution reason information corresponding to the pollution monitoring data of the reference point is obtained; and acquiring the pollution reason information of the monitoring point according to the pollution reason information of the reference point. And according to the pollution reason information of the reference point, the pollution reason information of the monitoring point is obtained, and the accuracy and the reliability of the analysis of the pollution reason of the monitoring point are improved.

Description

Pollution cause analysis method and device, readable storage medium and electronic equipment
Technical Field
The application relates to the field of environmental protection, in particular to a pollution cause analysis method and device, a readable storage medium and electronic equipment.
Background
The building construction flying dust is one of important sources of atmospheric inhalable particles (PM10) in cities, the emission amount of the building construction flying dust is related to factors such as construction scale, operation mode, geological conditions, climate environment and flying dust control measures, the building construction flying dust belongs to a typical unorganized emission source, and the building construction flying dust has the characteristics of high emission randomness, complex pollution process and the like, and the emission management difficulty of dust is extremely high.
Tracing the source of the raised dust pollution (the pollution source including the self pollution reason (self construction pollution) and the influenced pollution reason) in the building construction is a necessary process for effectively managing the dust emission. At present, the dust pollution condition of a building site is monitored in real time mainly through equipment such as an applied dust detector. However, due to the characteristics of large randomness of emission of building construction dust and complex pollution process, and the small data amount of the monitoring value in the online monitoring mode, the construction pollution reason (pollution caused by which construction link) of a building site cannot be accurately defined in the dust pollution responsibility definition and pollution source tracing process, and meanwhile, the dust pollution source tracing (influenced by which external factor) cannot be carried out according to the online detection value.
Disclosure of Invention
The present invention is directed to a method, an apparatus, a readable storage medium, and an electronic device for analyzing a cause of contamination, which are provided to overcome the above-mentioned shortcomings in the prior art.
In a first aspect, an embodiment of the present invention provides a method for analyzing a cause of contamination, including:
when the monitoring point meets the pollution condition, judging whether the pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point; the reference point is in a preset range taking the monitoring point as a center;
if the reference point is matched with the pollution monitoring data, pollution reason information corresponding to the pollution monitoring data of the reference point is obtained;
and acquiring the pollution reason information of the monitoring point according to the pollution reason information of the reference point.
Optionally, the obtaining of the pollution cause information corresponding to the pollution monitoring data of the reference point includes:
obtaining time series data of the pollutants of the reference point, wherein the time series data comprise a plurality of pollution monitoring data obtained by detecting a plurality of time nodes; the pollution monitoring data corresponds to the time nodes one by one;
and deducing pollution reason information of the reference point according to the time sequence data.
Optionally, the obtaining the pollution reason information of the monitoring point according to the pollution reason information of the reference point includes:
if the pollution reason information of the reference point only comprises the influence reason information of the first influence point, determining that the pollution reason information of the monitoring point comprises the influence reason information of the reference point or the influence reason information of the second influence point; wherein the first influence point influence reason information indicates that the pollution monitoring data of the reference point is influenced by the pollution monitoring data of the influence point; the reference point influence reason information indicates that the pollution monitoring data of the monitoring point is influenced by the pollution monitoring data of the reference point; the second influence point influence reason information shows that the pollution monitoring data of the monitoring point is influenced by the pollution monitoring data of the influence point;
if the pollution reason information of the reference point comprises first construction pollution reason information and influence reason information of the influence point, determining that the pollution reason information of the monitoring point comprises second construction pollution reason information, the reference point influence reason information or the second influence point influence reason information; wherein the first construction pollution cause information indicates which construction links of the reference point the pollution monitoring data of the reference point is related to; the second construction pollution reason information represents that the pollution monitoring data of the monitoring points are related to which construction links of the monitoring points; matching the first construction pollution reason information with the second construction pollution reason information;
and if the pollution reason information of the reference point only comprises first construction pollution reason information, determining that the pollution reason information of the monitoring point comprises the second construction pollution reason information and the reference point influence reason information.
Optionally, determining whether the pollution monitoring data of the reference point matches the pollution monitoring data of the monitoring point includes:
acquiring pollution contribution data of the reference point in a pollution direction, wherein the pollution contribution data represent the contribution amount of pollution monitoring data of the reference point to the pollution monitoring data of the pollution direction, and the pollution direction is the direction in which the reference point points to the monitoring point;
acquiring pollution affected data of the monitoring points in the pollution direction, wherein the pollution affected data represent the influence of the pollution monitoring data of the monitoring points on the pollution monitoring data from the pollution direction;
and when the pollution contribution data is larger than or equal to the pollution affected data, determining that the pollution monitoring data of the reference point is matched with the pollution monitoring data of the monitoring point.
Optionally, before the determining whether the pollution monitoring data of the monitoring point matches the pollution monitoring data of the reference point, the method further includes:
and judging whether the monitoring points meet the pollution conditions.
Optionally, the determining whether the monitoring point meets the pollution condition includes:
acquiring pollution monitoring data of the monitoring points and pollution monitoring data of a plurality of reference points;
if the pollution monitoring data of the monitoring point is smaller than that of the reference point, determining that the monitoring point does not meet the pollution condition;
otherwise, determining that the monitoring point meets the pollution condition.
In a second aspect, an embodiment of the present invention provides a contamination cause analysis apparatus, including:
the judging module is used for judging whether the pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point or not when the monitoring point meets the pollution condition; the reference point is in a preset range taking the monitoring point as a center;
the acquisition module is used for acquiring pollution reason information corresponding to the pollution monitoring data of the reference point if the reference point is matched with the pollution monitoring data; and acquiring the pollution reason information of the monitoring point according to the pollution reason information of the reference point.
Optionally, the obtaining module is further configured to:
obtaining time series data of the pollutants of the reference point, wherein the time series data comprise a plurality of pollution monitoring data obtained by detecting a plurality of time nodes; the pollution monitoring data corresponds to the time nodes one by one;
and predicting pollution reason information of the reference point according to the time sequence data.
In a third aspect, the present invention provides a readable storage medium, on which a computer program is stored, where the computer program is used to implement the steps of any one of the above methods when executed by a processor.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of any one of the methods described above when executing the program.
Compared with the prior art, the invention has the following beneficial effects:
the embodiment of the invention provides a pollution cause analysis method, a pollution cause analysis device, a readable storage medium and electronic equipment, wherein the method comprises the following steps: when the monitoring point meets the pollution condition, judging whether the pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point; the reference point is in a preset range taking the monitoring point as a center; if the reference point is matched with the pollution monitoring data, pollution reason information corresponding to the pollution monitoring data of the reference point is obtained; and acquiring the pollution reason information of the monitoring point according to the pollution reason information of the reference point. And the pollution monitoring data of the monitoring points are matched with the pollution monitoring data of the reference points, so that the influence of the pollution of the monitoring points on the reference points is explained on one hand, and the construction pollution of the monitoring points is similar (or identical) to the construction pollution reasons of the reference points on the other hand. Therefore, the pollution reason information of the monitoring point is obtained according to the pollution reason information of the reference point, and the accuracy and the reliability of the pollution reason analysis of the monitoring point are improved.
Additional features and advantages of embodiments of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 shows a flowchart of a pollution cause analysis method according to an embodiment of the present invention.
Fig. 2 is a flow chart of another pollution cause analysis method provided by the embodiment of the invention.
Fig. 3 is a schematic block diagram illustrating a contamination cause analysis apparatus 200 according to an embodiment of the present invention.
Fig. 4 is a schematic block diagram illustrating an electronic device according to an embodiment of the present invention.
Icon: 200-a contamination cause analysis device; 210-a judgment module; 220-an obtaining module; 500-a bus; 501-a receiver; 502-a processor; 503-a transmitter; 504-a memory; 505-bus interface.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Along with the development of society and economy, a large amount of manpower and material resources are invested in building construction raise dust supervision and treatment in recent years, equipment such as a dust detector is applied to carry out real-time monitoring on the raise dust pollution condition of a building site, relevant raise dust supervision prevention and control policies, administrative punishment means and the like are issued to reduce the raise dust pollution, and however, strong pollution evidences cannot be formed to support the implementation of administrative punishment on the building site only by means of online monitoring values in the raise dust pollution responsibility definition and pollution tracing process.
At present, the collection of construction site raise dust data is aimed at, raise dust pollution source dust fall operation control is carried out on the monitoring point, the source cannot be traced to monitoring pollution, whether raise dust pollution is caused by dust fall operation implementation failure or not cannot be determined, or the raise dust pollution monitoring data of the monitoring point is increased due to external environment changes such as wind power transportation raise dust pollutants to the monitoring point, and misjudgment is caused when administrative punishment is executed.
Therefore, the problems of analysis and source tracing of the cause of dust pollution in building construction become the pain point of dust pollution control, the urban dust pollution control link is changed from the original rough management to intensive and intelligent in new situation, and a dust pollution cause and source tracing method is urgently needed to support dust supervision.
Technical deficiencies of the prior art are overcome, and embodiments of the present invention provide a method, an apparatus, a readable storage medium, and an electronic device for analyzing pollution causes, so as to solve the technical problems that in a dust pollution liability definition and a pollution tracing process, a construction pollution cause (pollution caused by which construction link) on a building site cannot be accurately defined, and at the same time, dust pollution tracing (influenced by which external factor) cannot be performed according to an online detection value, due to the characteristics of high randomness of emission of building construction dust and a complex pollution process, and a small amount of data of a monitoring value in an online monitoring manner.
Examples
Referring to fig. 1, the method for analyzing the cause of contamination includes steps S101 to S103 shown in fig. 1. S101 to S103 will be described in detail below with reference to fig. 1.
S101: and when the monitoring point meets the pollution condition, judging whether the pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point.
Wherein, the reference point is in a preset range taking the monitoring point as the center;
s102: and if the reference point is matched with the pollution monitoring data, acquiring pollution reason information corresponding to the pollution monitoring data of the reference point.
S103: and acquiring the pollution reason information of the monitoring point according to the pollution reason information of the reference point.
Through adopting above scheme, solved by the construction pollution reason that can not accurately define the building site (by the pollution that leads to of which construction link), also can not carry out the technical problem that raise dust pollution traces to the source (influenced by which external factor) simultaneously. Compared with an online detection mode, the accuracy and the reliability of pollution reason analysis of the monitoring points are improved, pollution reason tracing can be performed, the situation that the administrative punishment evidence for dust pollution behaviors is insufficient is solved, and the free capacity judgment law enforcement efficiency of dust pollution is improved.
The pollution monitoring data represents the pollution condition of the measuring point, the pollution monitoring data can comprise pollution components, the amount of each component and the like, and the pollution monitoring data is measured from the measuring point. The measurement points may be monitoring points or reference points.
For the method for analyzing the cause of contamination, before S101, the method further includes S100 as shown in fig. 2: and judging whether the monitoring points meet the pollution conditions.
And S100, when the monitoring point meets the pollution condition, indicating that the monitoring point is polluted, specifically indicating that the pollution monitoring data of the monitoring point reaches the set condition, when the monitoring point does not meet the pollution condition, indicating that the monitoring point is not polluted, and specifically indicating that the pollution monitoring data of the monitoring point does not reach the set condition.
As an optional implementation manner, determining whether the monitoring point meets the pollution condition specifically includes: and acquiring pollution monitoring data of the monitoring points and pollution monitoring data of a plurality of reference points, if the pollution monitoring data of the monitoring points are smaller than the pollution monitoring data of the reference points, determining that the monitoring points do not meet the pollution condition, and otherwise, determining that the monitoring points meet the pollution condition.
Because the data volume of the pollution monitoring data of the reference point is enough and the pollution monitoring data of the reference point tends to be stable, the accuracy of judging the pollution of the reference point is improved by taking the pollution monitoring data of the reference point as the judgment standard whether the monitoring point has the pollution or not.
In order to quickly obtain the result whether the reference point is contaminated or not, the reference point is set to be a point where contamination has been determined, that is, the contamination monitoring data of the reference point satisfies the set condition, for example, the contamination monitoring data includes contaminants of the set composition, and/or the concentration of one or more contaminants in the contamination monitoring data is greater than or equal to the set value. If the pollution monitoring data of the monitoring point is less than that of the reference point, the reference point is determined not to meet the pollution condition if the pollutant concentration of the monitoring point is less than that of the reference point, namely the monitoring point is pollution-free. If the pollution monitoring data of the monitoring point is not less than (greater than or equal to) the pollution monitoring data of the reference point, it can be determined that the reference point meets the pollution condition, that is, the monitoring point is polluted, if the pollutant concentration of the monitoring point is greater than or equal to the pollutant concentration of the reference point.
The pollution monitoring data of the reference point with pollution in the preset range with the monitoring point as the center is compared with the pollution monitoring data of the monitoring point, whether the monitoring point is polluted or not is judged, the speed of confirming whether the monitoring point is polluted or not is increased, and the instantaneity of pollution reason analysis is improved.
In order to further improve the accuracy, reliability and feasibility of the pollution analysis of the monitoring points (whether the monitoring points meet the pollution conditions or not), whether the monitoring points are polluted or not is judged by adopting the pollution monitoring data of a plurality of reference points. That is, when there are a plurality of reference points, if the pollution monitoring data of the monitoring point is smaller than the pollution monitoring data of the reference points, it is determined that the monitoring point satisfies the pollution condition, which means that the pollution monitoring data of the monitoring point is smaller than the pollution monitoring data of each reference point. In particular, it may be that the contaminant concentration at the monitoring points is less than the contaminant concentration at each reference point, i.e.
Figure BDA0002289401150000091
Wherein A represents a monitoring point, PMAIndicating the contaminant concentration at the monitoring point, BiAn i-th reference point is indicated, i 1.. and N indicates the number of reference points,
Figure BDA0002289401150000092
indicating the contaminant concentration at the ith reference point. Optionally, the ith reference point BiThe distance from the monitoring point A is Si，SiIs non-negative. Optionally, each reference point BiLocated at 16 locations of monitoring point a. And if the pollutant concentration of the monitoring point A is greater than that of any one reference point, determining that the monitoring point is polluted. Alternatively, the contaminant concentration may be a particulate contaminant concentration.
Before judging whether the monitoring point meets the pollution condition, the method further comprises the following steps: and respectively obtaining pollution monitoring data of the monitoring points and the reference points. And then the pollution monitoring data of the monitoring point and the pollution monitoring data of the reference point judge whether the monitoring point meets the pollution condition.
And when the monitoring point meets the pollution condition, judging whether the pollution of the monitoring point is related to the pollution of the reference point. The method specifically comprises the following steps: and judging whether the pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point, if so, determining that the pollution of the monitoring point is related to the pollution of the reference point, namely determining that the pollution of the monitoring point is influenced by the pollution of the reference point, and if not, determining that the pollution of the monitoring point is unrelated to the pollution of the reference point, namely the pollution of the monitoring point is not influenced by the pollution of the reference point.
As an alternative embodiment, before determining whether the pollution of the monitoring point is related to the pollution of the reference point, that is, before determining whether the pollution monitoring data of the monitoring point matches with the pollution monitoring data of the reference point, the method further includes, as shown in S1001 of fig. 2: and judging whether the water consumption of the water spraying device for controlling the dust pollution of the monitoring point reaches the water consumption standard or not. If the water consumption does not reach the water consumption standard, a monitoring video is required to be called to further judge whether the function of the water spraying device is normal, wherein the monitoring video comprises image information of the water spraying process of the water spraying device or image information of the function of the water spraying device is checked. And if the water consumption reaches the water consumption standard, determining that the water consumption of the water spraying device is normal.
The water consumption of the water spraying device for controlling the dust pollution of the monitoring point is normal, and the pollution of the monitoring point is possibly that the pollution caused by a certain construction link or some construction links in the construction process is out of the controllable range of the water spraying device. Or all construction links and water spraying devices of the monitoring points are normal, pollution of the monitoring points is influenced by other pollution sources, and at the moment, the pollution sources need to be found out.
The number of construction links and construction sites on a building site is extremely large, and the workload is extremely large by manually checking whether the pollution caused by the construction of the construction sites and the construction links exceeds the standard one by one. Because the construction links have time sequence, a large amount of manpower and time are needed to be spent to determine whether the pollution caused by the construction exceeds the standard or not, and the realization difficulty is very great for the construction site. When the pollution caused by construction of all construction links and construction sites is checked not to exceed the standard, and the pollution of the monitoring points is found, the pollution of the monitoring points is determined to be influenced by other pollution sources. And it is difficult to find the pollution source, and the misjudgment is easy under the condition of a plurality of pollution sources. Therefore, a convenient, accurate and rapid method for analyzing the pollution causes is needed.
In order to quickly determine the pollution reasons of the monitoring points, namely quickly find out which construction links cause pollution and which pollution sources influence the pollution of the monitoring points, because the pollution of the pollution sources in a preset range taking the monitoring points as the center most probably influences the pollution of the monitoring points, and the construction pollution of the pollution sources in the same construction is the same, the pollution sources in the preset range taking the monitoring points as the center are used as reference points in the embodiment of the invention.
In order to determine whether the pollution of the monitoring point is related to the pollution of the reference point, the embodiment of the invention introduces the concept of wind direction frequency. The wind direction frequency represents the wind force blowing in a certain direction. And calculating the output of the pollution of the monitoring point and the reference point in the same direction depending on the wind direction frequency to determine whether the pollution of the monitoring point is related to the pollution of the reference point.
In order to determine whether the contamination of the monitoring site is related to the contamination of the reference site, it is determined by determining whether the contamination monitoring data of the monitoring site matches the contamination monitoring data of the reference site. In order to judge whether the pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point, the embodiment of the invention introduces the concepts of the pollution contribution data of the reference point and the pollution affected data of the monitoring point, wherein the pollution contribution data represents the contribution amount of the pollution monitoring data of the reference point to the pollution monitoring data in the pollution direction, and the pollution affected data represents the influence of the pollution monitoring data of the monitoring point from the pollution direction.
For whether the pollution monitoring data of the judgment reference point in the step S101 is matched with the pollution monitoring data of the monitoring point, the method specifically includes: and acquiring pollution contribution data of the reference point in the pollution direction, and acquiring pollution influenced data of the monitoring point in the pollution direction. When the pollution contribution data is greater than or equal to the pollution affected data, determining that the pollution monitoring data of the reference point matches the pollution monitoring data of the monitoring point, i.e., the pollution of the monitoring point is related to the pollution of the reference point. And when the pollution contribution data is smaller than the pollution affected data, determining that the pollution monitoring data of the reference point is not matched with the pollution monitoring data of the monitoring point, namely the pollution of the monitoring point is unrelated to the pollution of the reference point.
The pollution affected data of the monitoring points in the pollution direction is the contribution of the pollution monitoring data to the pollution monitoring data in the pollution direction.
The specific way of obtaining the pollution contribution data of the reference point in the pollution direction and the pollution affected data of the monitoring point in the pollution direction is shown in formula (1) and formula (2):
Figure BDA0002289401150000121
Figure BDA0002289401150000122
wherein,
Figure BDA0002289401150000123
represents the average concentration of contaminants at monitoring point a,
Figure BDA0002289401150000124
Figure BDA0002289401150000125
the contaminant concentration at the kth sampling for monitoring point A, n is the total number of samplings, WfAIndicating the wind direction frequency in the direction of the pollution at monitoring point a,
Figure BDA0002289401150000126
c is the total number of blows at monitoring point A, dAkThe wind blowing at the kth sampling at monitoring point a,
Figure BDA0002289401150000127
represents a reference point BiIs measured in terms of the average concentration of the contaminants,
Figure BDA0002289401150000128
Figure BDA0002289401150000129
is a reference point BiThe contaminant concentration of the kth sample, n is the total number of samples,
Figure BDA00022894011500001210
represents a reference point BiThe frequency of the wind direction in the direction of the pollution,
Figure BDA00022894011500001211
m at reference point BiThe total number of times of blowing of air,
Figure BDA00022894011500001212
is at reference point B for the k timeiWind force of blowing is sampled.
In order to more accurately judge whether the pollution monitoring data of the reference point is matched with the pollution monitoring data of the monitoring point, the pollution direction is determined as the direction in which the reference point points to the monitoring point.
After the pollution contribution data of the reference point in the pollution direction and the pollution affected data of the monitoring point in the pollution direction are obtained, the pollution monitoring data of the reference point and the pollution affected data of the monitoring point in the pollution direction are compared to determine whether the pollution monitoring data of the reference point are matched with the pollution monitoring data of the monitoring point. Specifically, when the pollution contribution data is greater than or equal to the pollution affected data, it is determined that the pollution monitoring data of the reference point matches the pollution monitoring data of the monitoring point, i.e., when the pollution contribution data is greater than or equal to the pollution affected data, the pollution monitoring data of the reference point is determined to match the pollution monitoring data of the monitoring point
Figure BDA0002289401150000131
Determining pollution monitoring data of reference point A and monitoring point BiWhen the pollution monitoring data is matched
Figure BDA0002289401150000132
Determining pollution monitoring data of reference point A and monitoring point BiThe pollution monitoring data do not match.
And if the pollution monitoring data of the reference point is determined not to be matched with the pollution monitoring data of the monitoring point, indicating that the pollution of the monitoring point is irrelevant to the pollution of the reference point. And if the pollution monitoring data of the reference point is determined to be matched with the pollution monitoring data of the monitoring point, indicating that the pollution of the monitoring point is related to the pollution of the reference point.
When the pollution of the monitoring point is related to the pollution of the reference point, the step described in S102 is executed, that is, the pollution reason information corresponding to the pollution monitoring data of the reference point is obtained. The specific way of obtaining the pollution reason information corresponding to the pollution monitoring data of the reference point is as follows: obtaining time series data of the pollutants of the reference point, wherein the time series data comprises a plurality of pollution monitoring data obtained by detecting a plurality of time nodes; the pollution monitoring data corresponds to the time nodes one by one; and deducing the pollution reason information of the reference point according to the time sequence data.
The specific way of estimating the pollution cause information of the reference point according to the time series data is as follows: and (4) deducing the source of the pollution according to the time series information of the pollutant concentration of the reference point and the investigation condition of the pollution source around the reference point.
And after the pollution reason information corresponding to the pollution monitoring data of the reference point is obtained, executing the step S103.
Because the pollution of the monitoring point is related to the pollution of the reference point, the pollution may be caused by the construction link of the reference point, or the pollution of the reference point is influenced by other pollution sources. Therefore, for S103, the specific embodiments are divided into at least the following three modes:
firstly, if the pollution reason information of the reference point only comprises the influence reason information of the first influence point, determining that the pollution reason information of the monitoring point comprises the influence reason information of the reference point or the influence reason information of the second influence point. Wherein the first influence point influence reason information indicates that the pollution monitoring data of the reference point is influenced by the pollution monitoring data of the influence point. The reference point influence reason information indicates that the pollution monitoring data of the monitoring point is influenced by the pollution monitoring data of the reference point. The second influence point influence reason information indicates that the pollution monitoring data of the monitoring point is influenced by the pollution monitoring data of the influence point. The point of influence is a place of influence on the pollution of the reference point within a preset range centered on the reference point.
Secondly, if the pollution reason information of the reference point comprises first construction pollution reason information and influence reason information of the influence point, determining that the pollution reason information of the monitoring point comprises second construction pollution reason information, reference point influence reason information or second influence point influence reason information. Wherein the first construction pollution cause information indicates which construction links of the reference point the pollution monitoring data of the reference point is related to. And the second construction pollution reason information represents that the pollution monitoring data of the monitoring points are related to which construction links of the monitoring points. And matching the first construction pollution reason information with the second construction pollution reason information. The matching between the first construction pollution reason information and the second construction pollution reason information shows that the first construction pollution reason information is the same as or similar to or has a corresponding relation with the second construction pollution reason information.
Thirdly, if the pollution reason information of the reference point only comprises the first construction pollution reason information, determining that the pollution reason information of the monitoring point comprises the second construction pollution reason information and the reference point influence reason information.
In summary, when the contamination of the monitoring point is related to the contamination of the reference point, it is indicated that the contamination of the monitoring point is at least affected by the contamination of the reference point, and it is also possible that the contamination of the monitoring point caused by the contamination of the monitoring point is the same as or similar to the contamination of the reference point caused by the contamination of the monitoring point.
And if the pollution of the monitoring point is related to the pollution of the reference point, determining the reference point as a target reference point.
When a plurality of target reference points exist, the pollution reason information of the monitoring point comprises pollution reason information corresponding to the pollution monitoring data of the plurality of target reference points. If the pollution reason information corresponding to the pollution monitoring data of the target reference points is overlapped, the pollution reason information of the monitoring points comprises the intersection of the pollution reason information corresponding to the pollution monitoring data of the target reference points and the pollution reason information with different pollution reason information corresponding to the pollution monitoring data of each target reference point.
Through the scheme above the adoption, the problem that the analysis of the flying dust pollution causes is inaccurate, the operation is complex, the consumption time is long, the consumed manpower and material resources are large, the analysis causes are inaccurate, the traceability is inaccurate, and the situation that the evidence is insufficient for the administrative punishment of the flying dust pollution behaviors is caused is solved, the convenience, the accuracy, the reliability and the timeliness of the pollution cause analysis and the traceability are improved, the accuracy and the reliability of the pollution cause analysis of the monitoring point are improved, and the technical effect of the traceability of the pollution causes can be realized.
Based on the method for analyzing the cause of contamination provided above, the embodiment of the present invention further provides an executing main body for executing the above steps, and the executing main body may be the apparatus 200 for analyzing the cause of contamination shown in fig. 3. Referring to fig. 3, the apparatus includes:
the judging module 210 is configured to, when a monitoring point meets a pollution condition, judge whether pollution monitoring data of the monitoring point matches pollution monitoring data of a reference point; wherein the reference point is within a preset range centered on the monitoring point.
An obtaining module 220, configured to obtain pollution cause information corresponding to the pollution monitoring data of the reference point if the reference point is matched with the pollution monitoring data; and acquiring the pollution reason information of the monitoring point according to the pollution reason information of the reference point.
Optionally, the obtaining module 220 is further configured to:
obtaining time series data of the pollutants of the reference point, wherein the time series data comprise a plurality of pollution monitoring data obtained by detecting a plurality of time nodes; the pollution monitoring data corresponds to the time nodes one by one;
and deducing pollution reason information of the reference point according to the time sequence data.
Optionally, the obtaining module 220 is further configured to:
if the pollution reason information of the reference point only comprises the first influence point influence reason information, determining that the pollution reason information of the monitoring point comprises the reference point pollution reason information or the second influence point influence reason information; wherein the first influence point influence reason information indicates that the pollution monitoring data of the reference point is influenced by the pollution monitoring data of the influence point; the reference point influence reason information indicates that the pollution monitoring data of the monitoring point is influenced by the pollution monitoring data of the reference point; the second influence point influence reason information shows that the pollution monitoring data of the monitoring point is influenced by the pollution monitoring data of the influence point;
if the pollution reason information of the reference point comprises first construction pollution reason information and influence reason information of the influence point, determining that the pollution reason information of the monitoring point comprises second construction pollution reason information, the reference point influence reason information or the second influence point influence reason information; wherein the first construction pollution cause information indicates which construction links of the reference point the pollution monitoring data of the reference point is related to; the second construction pollution reason information represents that the pollution monitoring data of the monitoring points are related to which construction links of the monitoring points; matching the first construction pollution reason information with the second construction pollution reason information;
and if the pollution reason information of the reference point only comprises first construction pollution reason information, determining that the pollution reason information of the monitoring point comprises the second construction pollution reason information and the reference point pollution reason information.
Optionally, the determining module 210 is further configured to:
acquiring pollution contribution data of the reference point in a pollution direction, wherein the pollution contribution data represent the contribution amount of pollution monitoring data of the reference point to the pollution monitoring data of the pollution direction, and the pollution direction is the direction in which the reference point points to the monitoring point;
acquiring pollution affected data of the monitoring points in the pollution direction, wherein the pollution affected data represent the influence of the pollution monitoring data of the monitoring points on the pollution monitoring data from the pollution direction;
and when the pollution contribution data is larger than or equal to the pollution affected data, determining that the pollution monitoring data of the reference point is matched with the pollution monitoring data of the monitoring point.
Optionally, the determining module 210 is further configured to:
and judging whether the monitoring points meet the pollution conditions.
Optionally, the determining module 210 is further configured to:
acquiring pollution monitoring data of the monitoring points and pollution monitoring data of a plurality of reference points;
if the pollution monitoring data of the monitoring point is smaller than that of the reference point, determining that the monitoring point does not meet the pollution condition;
otherwise, determining that the monitoring point meets the pollution condition.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
An embodiment of the present invention further provides an electronic device, as shown in fig. 4, which includes a memory 504, a processor 502, and a computer program stored on the memory 504 and executable on the processor 502, where the processor 502 implements the steps of the pollution cause analysis method described above when executing the program.
Where in fig. 4 a bus architecture (represented by bus 500) is shown, bus 500 may include any number of interconnected buses and bridges, and bus 500 links together various circuits including one or more processors, represented by processor 502, and memory, represented by memory 504. The bus 500 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 505 provides an interface between the bus 500 and the receiver 501 and transmitter 503. The receiver 501 and the transmitter 503 may be the same element, i.e. a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 502 is responsible for managing the bus 500 and general processing, and the memory 504 may be used for storing data used by the processor 502 in performing operations.
An embodiment of the present invention further provides a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the pollution cause analysis method described above.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in an apparatus according to an embodiment of the invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

Claims (10)

1. A method for analyzing causes of contamination, comprising:
when the monitoring point meets the pollution condition, judging whether the pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point; the reference point is in a preset range taking the monitoring point as a center;
if the reference point is matched with the pollution monitoring data, pollution reason information corresponding to the pollution monitoring data of the reference point is obtained;
and acquiring the pollution reason information of the monitoring point according to the pollution reason information of the reference point.
2. The method of claim 1, wherein the obtaining of the pollution reason information corresponding to the pollution monitoring data of the reference point comprises:
obtaining time series data of the pollutants of the reference point, wherein the time series data comprise a plurality of pollution monitoring data obtained by detecting a plurality of time nodes; the pollution monitoring data corresponds to the time nodes one by one;
and deducing pollution reason information of the reference point according to the time sequence data.
3. The method according to claim 2, wherein the obtaining of the pollution cause information of the monitoring point according to the pollution cause information of the reference point comprises:
if the pollution reason information of the reference point only comprises the influence reason information of the first influence point, determining that the pollution reason information of the monitoring point comprises the influence reason information of the reference point or the influence reason information of the second influence point; wherein the first influence point influence reason information indicates that the pollution monitoring data of the reference point is influenced by the pollution monitoring data of the influence point; the reference point influence reason information indicates that the pollution monitoring data of the monitoring point is influenced by the pollution monitoring data of the reference point; the second influence point influence reason information shows that the pollution monitoring data of the monitoring point is influenced by the pollution monitoring data of the influence point;
if the pollution reason information of the reference point comprises first construction pollution reason information and influence reason information of the influence point, determining that the pollution reason information of the monitoring point comprises second construction pollution reason information, the reference point influence reason information or the second influence point influence reason information; wherein the first construction pollution cause information indicates which construction links of the reference point the pollution monitoring data of the reference point is related to; the second construction pollution reason information represents that the pollution monitoring data of the monitoring points are related to which construction links of the monitoring points; matching the first construction pollution reason information with the second construction pollution reason information;
and if the pollution reason information of the reference point only comprises first construction pollution reason information, determining that the pollution reason information of the monitoring point comprises the second construction pollution reason information and the reference point influence reason information.
4. The method of claim 3, wherein determining whether the pollution monitoring data of the reference point matches the pollution monitoring data of the monitoring point comprises:
acquiring pollution contribution data of the reference point in a pollution direction, wherein the pollution contribution data represent the contribution amount of pollution monitoring data of the reference point to the pollution monitoring data of the pollution direction, and the pollution direction is the direction in which the reference point points to the monitoring point;
acquiring pollution affected data of the monitoring points in the pollution direction, wherein the pollution affected data represent the influence of the pollution monitoring data of the monitoring points on the pollution monitoring data from the pollution direction;
and when the pollution contribution data is larger than or equal to the pollution affected data, determining that the pollution monitoring data of the reference point is matched with the pollution monitoring data of the monitoring point.
5. The method of claim 1, wherein prior to said determining whether the pollution monitoring data of the monitoring site matches the pollution monitoring data of a reference site, the method further comprises:
and judging whether the monitoring points meet the pollution conditions.
6. The method of claim 5, wherein said determining whether said monitoring point satisfies a contamination condition comprises:
acquiring pollution monitoring data of the monitoring points and pollution monitoring data of a plurality of reference points;
if the pollution monitoring data of the monitoring point is smaller than that of the reference point, determining that the monitoring point does not meet the pollution condition;
otherwise, determining that the monitoring point meets the pollution condition.
7. A contamination cause analyzing apparatus, comprising:
the judging module is used for judging whether the pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point or not when the monitoring point meets the pollution condition; the reference point is in a preset range taking the monitoring point as a center;
the acquisition module is used for acquiring pollution reason information corresponding to the pollution monitoring data of the reference point if the reference point is matched with the pollution monitoring data; and acquiring the pollution reason information of the monitoring point according to the pollution reason information of the reference point.
8. The apparatus of claim 7, wherein the obtaining module is further configured to:
obtaining time series data of the pollutants of the reference point, wherein the time series data comprise a plurality of pollution monitoring data obtained by detecting a plurality of time nodes; the pollution monitoring data corresponds to the time nodes one by one;
and predicting pollution reason information of the reference point according to the time sequence data.
9. A readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1 to 6 when executing the program.
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