CN111047160B - 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 PDFInfo
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Abstract
The embodiment of the application 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 pollution monitoring data of the monitoring point is matched with pollution monitoring data of the reference point; the reference point is in a preset range taking the monitoring point as a center; if so, pollution reason information corresponding to pollution monitoring data of the reference point is obtained; and obtaining pollution reason information of the monitoring point according to the pollution reason information of the reference point. According to the pollution reason information of the reference point, the pollution reason information of the monitoring point is obtained, and the accuracy and reliability of pollution reason analysis of the monitoring point are improved.
Description
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
Building construction raise dust is one of important sources of atmospheric inhalable particulate matters (PM 10) in cities, the emission quantity of the raise dust is related to factors such as construction scale, operation mode, geological conditions, climate environment, raise dust control measures and the like, the raise dust belongs to a typical unorganized emission source, and has the characteristics of large emission randomness, complex pollution process and the like, and the difficulty of dust emission management is extremely high.
The construction dust pollution tracing (pollution sources, including self pollution reasons (self construction pollution) and affected pollution reasons) is a necessary process for effectively managing dust emission. At present, dust pollution conditions of construction sites are monitored in real time mainly through equipment such as a dust detector. However, due to the characteristics of high randomness of dust emission and complex pollution process in building construction and the small data volume of the monitoring value in an online monitoring mode, the construction pollution reasons (pollution caused by which construction link) of the building site cannot be accurately defined in the dust pollution responsibility definition and pollution tracing process, and dust pollution tracing (influenced by which external factor) cannot be performed according to the online detection value.
Disclosure of Invention
The present application aims to provide a pollution cause analysis method, a pollution cause analysis device, a readable storage medium and an electronic device, which aim to overcome the above-mentioned disadvantages in the prior art.
In a first aspect, an embodiment of the present application provides a method for analyzing a pollution cause, including:
when the monitoring point meets the pollution condition, judging whether pollution monitoring data of the monitoring point is matched with pollution monitoring data of a reference point; the reference point is in a preset range taking the monitoring point as a center;
if so, pollution reason information corresponding to the pollution monitoring data of the reference point is obtained;
and obtaining pollution reason information of the monitoring point according to the pollution reason information of the reference point.
Optionally, the obtaining pollution cause information corresponding to the pollution monitoring data of the reference point includes:
obtaining time series data of 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 estimating pollution reason information of the reference point according to the time sequence data.
Optionally, the obtaining the pollution cause information of the monitoring point according to the pollution cause information of the reference point includes:
if the pollution cause information of the reference point only comprises the first influence point influence cause information, determining that the pollution cause information of the monitoring point comprises the reference point influence cause information or the second influence point influence cause information; the first influence point influence reason information indicates that the pollution monitoring data of the reference point are influenced by the pollution monitoring data of the influence point; the reference point influence reason information indicates that 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;
if the pollution cause information of the reference point comprises first construction pollution cause information and influence point influence cause information, determining that the pollution cause information of the monitoring point comprises second construction pollution cause information, the reference point influence cause information or the second influence point influence cause information; wherein the first construction pollution cause information indicates pollution monitoring data of the reference point and which construction links of the reference point are related; the second construction pollution cause information indicates pollution monitoring data of the monitoring point and which construction links of the monitoring point are related; the first construction pollution reason information is matched with the second construction pollution reason information;
and if the pollution cause information of the reference point only comprises the first construction pollution cause information, determining that the pollution cause information of the monitoring point comprises the second construction pollution cause information and the reference point influence cause information.
Optionally, determining whether the pollution monitoring data of the reference point matches the pollution monitoring data of the monitoring point includes:
obtaining pollution contribution data of the reference point in a pollution direction, wherein the pollution contribution data represents the contribution of pollution monitoring data of the reference point to pollution monitoring data of the pollution direction, and the pollution direction is the direction of the reference point to the monitoring point;
obtaining pollution affected data of the monitoring point in the pollution direction, wherein the pollution affected data represents the influence of pollution monitoring data of the monitoring point on the pollution monitoring data from the pollution direction;
and 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 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 point meets the pollution condition.
Optionally, the determining whether the monitoring point meets the pollution condition includes:
obtaining 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 pollution conditions;
otherwise, determining that the monitoring point meets the pollution condition.
In a second aspect, an embodiment of the present application provides a pollution cause analysis device, 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 points are matched; and obtaining 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 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, an embodiment of the present application provides a readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
In a fourth aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of any one of the methods described above when the program is executed.
Compared with the prior art, the application has the following beneficial effects:
the embodiment of the application 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 pollution monitoring data of the monitoring point is matched with pollution monitoring data of the reference point; the reference point is in a preset range taking the monitoring point as a center; if so, pollution reason information corresponding to pollution monitoring data of the reference point is obtained; and obtaining pollution reason information of the monitoring point according to the pollution reason information of the reference point. The pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point, so that on one hand, the pollution of the monitoring point is influenced by the reference point, and on the other hand, the construction pollution of the monitoring point is similar (or identical) to the construction pollution reason of the reference point. 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 reliability of the pollution reason analysis of the monitoring point are improved.
Additional features and advantages of embodiments of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of embodiments of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows a flowchart of a pollution cause analysis method according to an embodiment of the present application.
Fig. 2 shows a flowchart of another pollution cause analysis method according to an embodiment of the present application.
Fig. 3 is a schematic block diagram of a pollution cause analysis device 200 according to an embodiment of the present application.
Fig. 4 is a schematic block diagram of an electronic device according to an embodiment of the present application.
Icon: 200-a pollution cause analysis device; 210-a judging module; 220-obtaining a module; 500-buses; 501-a receiver; 502-a processor; 503-a transmitter; 504-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.
With the development of society and economy, a great amount of manpower and material resources are invested in building construction dust supervision and treatment in recent years, dust detection instruments and other equipment are used for monitoring dust pollution conditions of building sites in real time, and relevant dust supervision prevention and control policies, administrative punishment means and the like are taken out to reduce dust pollution, however, in the dust pollution responsibility definition and pollution tracing process, strong pollution evidence cannot be formed only by means of online monitoring values to support the administration punishment of the building sites.
At present, dust emission pollution source dust fall operation control is carried out on a monitoring point aiming at collection of dust emission data of a construction site, and whether dust emission pollution is caused by the fact that dust fall operation is not carried out in place or not cannot be determined for monitoring pollution, or dust emission pollution monitoring data of the monitoring point is increased due to external environment changes such as wind power transportation of dust emission pollutants to the monitoring point, so that erroneous judgment is caused when administrative punishment is executed.
Therefore, the problems of analysis, tracing and the like of the dust pollution cause of the building construction become pain points of dust pollution control, and the urban dust pollution control link under new situation is changed from original rough management to intensive and intelligent, so that the dust pollution cause and tracing method are needed to support dust supervision.
The embodiment of the application provides a pollution cause analysis method, a device, a readable storage medium and electronic equipment, which are used for solving the technical problems that the construction pollution cause (pollution caused by which construction link) of a building site cannot be accurately defined in the dust pollution responsibility definition and pollution tracing process and the dust pollution tracing (influenced by which external factor) cannot be carried out according to an online detection value due to the characteristics of high randomness of dust emission and complex pollution process of building construction and the small data quantity of a monitoring value in an online monitoring mode.
Examples
The embodiment of the application provides a pollution cause analysis method, referring to fig. 1, the pollution cause analysis method comprises 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 pollution monitoring data of the monitoring point is matched with pollution monitoring data of the reference point.
The reference point is in a preset range taking the monitoring point as the center;
s102: and if so, obtaining pollution reason information corresponding to the pollution monitoring data of the reference point.
S103: and obtaining pollution reason information of the monitoring point according to the pollution reason information of the reference point.
By adopting the scheme, the technical problems that the construction pollution reasons (pollution caused by which construction link) of the building site cannot be accurately defined and the dust pollution tracing (influenced by which external factor) cannot be carried out are solved. Compared with an on-line detection mode, the accuracy and the reliability of pollution reason analysis of the monitoring points are improved, pollution reason tracing can be carried out, the situation that administrative punishment evidence for dust pollution behaviors is insufficient is solved, and the dust pollution free quantity judging law enforcement efficiency is improved.
Wherein the pollution monitoring data characterizes the pollution of the measuring point, the pollution monitoring data can comprise pollution components, the amounts of the components and the like, and the pollution monitoring data is measured from the measuring point. The measurement point may be a monitoring point or a reference point.
For the pollution cause analysis method, before S101, the method further includes S100 as shown in fig. 2: judging whether the monitoring point meets the pollution condition.
For S100, when the monitoring point meets the pollution condition, the pollution of the monitoring point is indicated, specifically, the pollution monitoring data of the monitoring point reach the set condition, and when the monitoring point does not meet the pollution condition, the pollution of the monitoring point is indicated, specifically, the pollution monitoring data of the monitoring point does not reach the set condition.
As an optional implementation manner, whether the monitoring point meets the pollution condition is determined specifically as follows: and obtaining 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, 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 is stable, the accuracy of pollution judgment of the reference point is improved by taking the pollution monitoring data of the reference point as a judgment standard of whether the reference point is polluted or not.
In order to quickly obtain the result of whether the reference point is contaminated, the set reference point is a point at which contamination has been determined, i.e. the contamination monitoring data of the reference point all meet the set conditions, e.g. the contamination monitoring data comprises contaminants of the set composition, and/or the concentration of some 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 smaller than the pollution monitoring data of the reference point, the monitoring point is determined to not meet the pollution condition, namely the monitoring point is pollution-free, if the pollutant concentration of the monitoring point is smaller than the pollutant concentration of the reference point. 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, the pollution condition of the monitoring point can be determined to be met if the pollutant concentration of the monitoring point is greater than or equal to the pollutant concentration of the reference point, namely the monitoring point is polluted.
The pollution monitoring data of the polluted reference points in the preset range with the monitoring point as the center are compared with the pollution monitoring data of the monitoring point, so that whether the monitoring point is polluted or not is judged, the confirmation speed of whether the monitoring point is polluted or not is improved, and the instantaneity of pollution cause analysis is improved.
In order to further improve the accuracy, reliability and feasibility of the pollution analysis of the monitoring points (judging whether the monitoring points meet pollution conditions), whether the monitoring points are polluted or not is judged by adopting pollution monitoring data of a plurality of reference points. When a plurality of reference points exist, 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 meet the pollution condition means that the pollution monitoring data of the monitoring points are smaller than the pollution monitoring data of each reference point. In particular, it may be that the contaminant concentration at the monitoring point is less than the contaminant concentration at each reference point, i.eWherein A represents a monitoring point, PM A Indicating the concentration of the pollutant at the monitoring point, B i The i-th reference point, i=1,.. N, N represents the number of reference points, +.>Indicating the contaminant concentration at the ith reference point. Optionally, the ith reference point B i The distance from the monitoring point A is S i ，S i Is a non-negative number. Optionally, each reference point B i Located at 16 orientations of the monitoring point a. And if the pollutant concentration of the monitoring point A is larger than that of any one of the reference points, determining that the monitoring point is polluted. Alternatively, the contaminant concentration may be a particulate contaminant concentration.
Before determining whether the monitoring point meets the pollution condition, the method further comprises: pollution monitoring data of the monitoring point and the reference point are obtained respectively. And further judging whether the monitoring point meets the pollution condition or not according to the pollution monitoring data of the monitoring point and the pollution monitoring data of the reference point.
And after judging that 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 comprises the following steps: 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 determining that 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 the pollution monitoring data of the reference point, the method further includes S1001 as shown in fig. 2: judging whether the water consumption of the water spraying device for controlling dust pollution of the monitoring point reaches the water consumption standard or not. If the water consumption does not reach the water consumption standard, the 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. 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 dust pollution of the monitoring point is normal, and the pollution of the monitoring point is possibly caused by a certain or some construction links in the construction process, and the pollution 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 comes from the influence of other pollution sources, and at this time, 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 pollution caused by construction of the construction sites and the construction links exceeds standard or not one by one. Because the construction links have time sequences, a great deal of manpower and time are required to be spent to determine whether the pollution caused by the construction exceeds the standard, and the implementation difficulty is very high for the construction site. When the pollution caused by the construction of all construction links and construction sites is not out of standard, but the pollution of the monitoring point is found, the influence of the pollution of the monitoring point from other pollution sources is determined. Finding this source is difficult, and in the case of many sources, erroneous judgment is easy. Therefore, a convenient, accurate and rapid pollution cause analysis method is needed.
In order to quickly determine pollution reasons of the monitoring points, namely to quickly find pollution caused by which construction links and pollution of the monitoring points is influenced by which pollution sources, the pollution of the pollution sources in a preset range taking the monitoring points as the center most likely affects the pollution of the monitoring points, and the construction pollution of the pollution sources in similar construction is the same, so that the pollution sources in the preset range taking the monitoring points as the center are used as reference points.
In order to judge whether the pollution of the monitoring point is related to the pollution of the reference point, the embodiment of the application draws out the concept of wind direction frequency. Wind direction frequency characterizes the wind force of blowing in a certain direction. Depending on the wind direction frequency, the outputs of the contamination of the monitoring point and the reference point in the same direction are calculated to determine whether the contamination of the monitoring point is related to the contamination of the reference point.
To determine whether the contamination of the monitoring point is related to the contamination of the reference point, it is determined by determining whether the contamination monitoring data of the monitoring point matches the contamination monitoring data of the reference point. In order to judge whether pollution monitoring data of a monitoring point is matched with pollution monitoring data of a reference point, the embodiment of the application introduces the concepts of pollution contribution data of the reference point and pollution affected data of the monitoring point, wherein the pollution contribution data represents the contribution quantity of the pollution monitoring data of the reference point to the pollution monitoring data of a pollution direction, and the pollution affected data represents the influence of the pollution monitoring data of the monitoring point to the pollution monitoring data from the pollution direction.
Whether the pollution monitoring data of the judging reference point in the S101 is matched with the pollution monitoring data of the monitoring point or not is specifically: and obtaining pollution contribution data of the reference point in the pollution direction, and obtaining pollution affected 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. 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 that the pollution of the monitoring point is irrelevant to the pollution of the reference point.
The pollution affected data of the monitoring points in the pollution direction is the contribution quantity of the pollution monitoring data to the pollution monitoring data in the pollution direction.
The specific ways for 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 are shown in the formula (1) and the formula (2):
wherein, the liquid crystal display device comprises a liquid crystal display device,mean concentration of contaminant at monitoring point A, < >> For monitoring the pollutant concentration of point A in the kth sampling, n is the total sampling times, wf A Indicating the wind direction frequency of the monitoring point a in the direction of pollution,c is the total number of times of blowing at the monitoring point A, d Ak For the kth wind power blowing when the monitoring point A is sampled,representing reference point B i Contaminant mean concentration of-> As reference point B i The pollutant concentration of the kth sample, n is the total number of samples, +.>Representing reference point B i Wind direction frequency in the direction of pollution, +.>M at reference point B i Is>For the kth time at reference point B i And (3) blowing wind power during sampling.
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 to be the direction of the reference point to the monitoring point.
After 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, determining whether the pollution monitoring data of the reference point is matched with the pollution monitoring data of the monitoring point by comparing the sizes of 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. Specifically, 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. whenDetermining pollution monitoring data of a reference point A and the monitoring point B i Is matched with the pollution monitoring data of (1), when->Determining pollution monitoring data of reference point A and monitoring point B i Is not matched with the pollution monitoring data of the computer.
And if the pollution monitoring data of the determined reference point is not 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 determined reference point is 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 S102 is executed, namely, pollution cause information corresponding to the pollution monitoring data of the reference point is obtained. The specific mode for obtaining the pollution reason information corresponding to the pollution monitoring data of the reference point is as follows: obtaining time sequence data of pollutants of a reference point, wherein the time sequence 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; pollution cause information of the reference point is estimated from the time series data.
The specific mode of estimating pollution cause information of the reference point according to the time sequence data is as follows: and presuming the pollution source according to the time sequence information of the pollutant concentration of the reference point and the investigation condition of the pollution source around the reference point.
After the contamination cause information corresponding to the contamination monitoring data of the reference point is obtained, the step described in S103 is performed.
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 at least divided into the following three modes:
first, if the pollution cause information of the reference point only includes the first influence point influence cause information, determining that the pollution cause information of the monitoring point includes the reference point influence cause information or the second influence point influence cause information. Wherein the first influence point influence cause 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 cause information indicates that pollution monitoring data of the monitoring point is influenced by the pollution monitoring data of the reference point. The second influence point influence cause 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 location that has an influence on the contamination of the reference point within a preset range centered on the reference point.
Second, if the pollution cause information of the reference point includes first construction pollution cause information and influence cause information of the influence point, determining pollution cause information of the monitoring point includes second construction pollution cause information, reference point influence cause information or second influence point influence cause information. Wherein the first construction pollution cause information indicates pollution monitoring data of a reference point, and which construction links of the reference point are related to. The second construction pollution cause information indicates pollution monitoring data of the monitoring point, which construction links of the monitoring point are related. The first construction pollution cause information is matched with the second construction pollution cause information. The matching between the first construction pollution cause information and the second construction pollution cause information indicates that the first construction pollution cause information and the second construction pollution cause information are the same or similar or have a corresponding relation.
Thirdly, if the pollution cause information of the reference point only comprises the first construction pollution cause information, determining the pollution cause information of the monitoring point to comprise the second construction pollution cause information and the reference point influence cause information.
In summary, when the contamination of the monitoring point is related to the contamination of the reference point, it is stated 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 that causes the monitoring point is the same or similar to the contamination of the reference point that causes the reference point.
If the contamination of the monitoring point is related to the contamination of the reference point, the reference point is determined to be the target reference point.
When the target reference points are multiple, the pollution reason information of the monitoring points comprises pollution reason information corresponding to the pollution monitoring data of the multiple target reference points. And if the pollution reason information corresponding to the pollution monitoring data of the plurality of 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 plurality of target reference points and the pollution reason information with different pollution reason information corresponding to the pollution monitoring data of each target reference point.
By adopting the scheme, the problems of inaccurate analysis of dust pollution reasons, complex operation, long consumption time, large consumption of manpower and material resources, inaccurate analysis reasons and inaccurate tracing of sources in the prior art are solved, the situation of insufficient administrative punishment evidence aiming at dust pollution behaviors is caused, the convenience, accuracy, reliability and timeliness of pollution reason analysis and tracing are improved, the accuracy and reliability of pollution reason analysis of monitoring points are improved, and the technical effect of pollution reason tracing can be achieved.
Based on the above-provided method for analyzing a pollution cause, the embodiment of the present application also correspondingly provides an execution body for executing the above-mentioned steps, where the execution body may be the pollution cause analyzing apparatus 200 shown in fig. 3. Referring to fig. 3, the apparatus includes:
a judging module 210, configured to judge whether pollution monitoring data of a monitoring point matches pollution monitoring data of a reference point when the monitoring point meets a pollution condition; the reference point is in a preset range with the monitoring point as a center.
An obtaining module 220, configured to obtain pollution cause information corresponding to the pollution monitoring data of the reference point if the pollution monitoring data are matched; and obtaining 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 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 estimating 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 cause information of the reference point only comprises the first influence point influence cause information, determining that the pollution cause information of the monitoring point comprises the reference point pollution cause information or the second influence point influence cause information; the first influence point influence reason information indicates that the pollution monitoring data of the reference point are influenced by the pollution monitoring data of the influence point; the reference point influence reason information indicates that 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;
if the pollution cause information of the reference point comprises first construction pollution cause information and influence point influence cause information, determining that the pollution cause information of the monitoring point comprises second construction pollution cause information, the reference point influence cause information or the second influence point influence cause information; wherein the first construction pollution cause information indicates pollution monitoring data of the reference point and which construction links of the reference point are related; the second construction pollution cause information indicates pollution monitoring data of the monitoring point and which construction links of the monitoring point are related; the first construction pollution reason information is matched with the second construction pollution reason information;
and if the pollution cause information of the reference point only comprises the first construction pollution cause information, determining that the pollution cause information of the monitoring point comprises the second construction pollution cause information and the reference point pollution cause information.
Optionally, the determining module 210 is further configured to:
obtaining pollution contribution data of the reference point in a pollution direction, wherein the pollution contribution data represents the contribution of pollution monitoring data of the reference point to pollution monitoring data of the pollution direction, and the pollution direction is the direction of the reference point to the monitoring point;
obtaining pollution affected data of the monitoring point in the pollution direction, wherein the pollution affected data represents the influence of pollution monitoring data of the monitoring point on the pollution monitoring data from the pollution direction;
and 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 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 point meets the pollution condition.
Optionally, the determining module 210 is further configured to:
obtaining 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 pollution conditions;
otherwise, determining that the monitoring point meets the pollution condition.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
An embodiment of the present application further provides an electronic device, as shown in fig. 4, including a memory 504, a processor 502, and a computer program stored in the memory 504 and capable of running on the processor 502, where the steps of the pollution cause analysis method described above are implemented when the processor 502 executes the program.
Where in FIG. 4 a bus architecture (represented by bus 500), bus 500 may include any number of interconnected buses and bridges, with bus 500 linking together various circuits, including one or more processors, represented by processor 502, and memory, represented by memory 504. Bus 500 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 505 provides an interface between bus 500 and 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, while the memory 504 may be used to store data used by the processor 502 in performing operations.
The embodiment of the application also provides a readable storage medium, on which a computer program is stored, which program, when being 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 system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, the present application is not directed to any particular programming language. It will be appreciated that the teachings of the present application described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present application.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application 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 application, various features of the application 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 construed as reflecting the intention that: i.e., the claimed application 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 application.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. 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. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units 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 but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
Various component embodiments of the application 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 some or all of the functions of some or all of the components in an apparatus according to embodiments of the present application may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). The present application can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present application may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
Claims (9)
1. A method for analyzing a cause of contamination, comprising:
when the monitoring point meets the pollution condition, judging whether pollution monitoring data of the monitoring point is matched with pollution monitoring data of a reference point; the reference point is in a preset range taking the monitoring point as a center;
if so, pollution reason information corresponding to the pollution monitoring data of the reference point is obtained;
according to the pollution cause information of the reference point, pollution cause information of the monitoring point is obtained;
the judging whether the pollution monitoring data of the monitoring point is matched with the pollution monitoring data of the reference point comprises the following steps:
obtaining pollution contribution data of the reference point in a pollution direction, wherein the pollution contribution data represents the contribution of pollution monitoring data of the reference point to pollution monitoring data of the pollution direction, and the pollution direction is the direction of the reference point to the monitoring point;
obtaining pollution affected data of the monitoring point in the pollution direction, wherein the pollution affected data represents the influence of pollution monitoring data of the monitoring point on the pollution monitoring data from the pollution direction;
and 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 is matched with the pollution monitoring data of the monitoring point.
2. The method according to claim 1, wherein obtaining pollution cause information corresponding to the pollution monitoring data of the reference point includes:
obtaining time series data of 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 estimating pollution reason information of the reference point according to the time sequence data.
3. The method according to claim 2, wherein the obtaining pollution cause information of the monitoring point according to the pollution cause information of the reference point includes:
if the pollution cause information of the reference point only comprises the first influence point influence cause information, determining that the pollution cause information of the monitoring point comprises the reference point influence cause information or the second influence point influence cause information; the first influence point influence reason information indicates that the pollution monitoring data of the reference point are influenced by the pollution monitoring data of the influence point; the reference point influence reason information indicates that 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;
if the pollution cause information of the reference point comprises first construction pollution cause information and influence point influence cause information, determining that the pollution cause information of the monitoring point comprises second construction pollution cause information, the reference point influence cause information or the second influence point influence cause information; wherein the first construction pollution cause information indicates pollution monitoring data of the reference point and which construction links of the reference point are related; the second construction pollution cause information indicates pollution monitoring data of the monitoring point and which construction links of the monitoring point are related; the first construction pollution reason information is matched with the second construction pollution reason information;
and if the pollution cause information of the reference point only comprises the first construction pollution cause information, determining that the pollution cause information of the monitoring point comprises the second construction pollution cause information and the reference point influence cause information.
4. The method of claim 1, wherein prior to said determining whether the pollution monitoring data of the monitoring point matches the pollution monitoring data of the reference point, the method further comprises:
and judging whether the monitoring point meets the pollution condition.
5. The method of claim 4, wherein the determining whether the monitoring point satisfies a pollution condition comprises:
obtaining 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 pollution conditions;
otherwise, determining that the monitoring point meets the pollution condition.
6. A pollution cause analyzing device, 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 points are matched; according to the pollution cause information of the reference point, pollution cause information of the monitoring point is obtained;
the judging module is used for obtaining pollution contribution data of the reference point in a pollution direction, wherein the pollution contribution data represents contribution of pollution monitoring data of the reference point to the pollution monitoring data of the pollution direction, and the pollution direction is the direction of the reference point to the monitoring point; obtaining pollution affected data of the monitoring point in the pollution direction, wherein the pollution affected data represents the influence of pollution monitoring data of the monitoring point on the pollution monitoring data from the pollution direction; and 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 is matched with the pollution monitoring data of the monitoring point.
7. The apparatus of claim 6, wherein the obtaining module is further configured to:
obtaining time series data of 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.
8. A readable storage medium having stored thereon a computer program, which when executed by a processor performs the steps of the method according to any of claims 1-5.
9. 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 1-5 when the program is executed.
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