CN110672144A - Pollution source detection method and device - Google Patents
Pollution source detection method and device Download PDFInfo
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- CN110672144A CN110672144A CN201810719138.5A CN201810719138A CN110672144A CN 110672144 A CN110672144 A CN 110672144A CN 201810719138 A CN201810719138 A CN 201810719138A CN 110672144 A CN110672144 A CN 110672144A
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Abstract
The invention provides a pollution source detection method and a device, wherein the method comprises the following steps: acquiring the pollution type of a pollution source to be detected in a target area, and extracting pollution associated data of the pollution source according to the pollution type; calculating pollution associated data according to a preset algorithm to obtain the pollution activity of a pollution source; calculating the emission index of the pollution source according to the pollution activity; and acquiring emission indexes of all pollution sources in the target area, and determining the target pollution sources meeting the screening conditions according to the emission indexes of all pollution sources. Therefore, the accuracy and the efficiency of pollution source detection are improved, the real-time performance of the pollution source detection is realized, and convenience is provided for finding an abnormal pollution source and timely processing the abnormal pollution source.
Description
Technical Field
The invention relates to the technical field of environmental pollution detection, in particular to a pollution source detection method and device.
Background
With environmental protection supervision and assessment normality, the investigation of pollution sources causing environmental pollution in various areas becomes a main environmental protection project and is widely concerned, generally, two modes are mainly adopted for monitoring the pollution sources, and one mode is to track the change reasons of components on the basis of pollutant identification and component analysis so as to achieve the purpose of searching the pollution sources and further carry out monitoring analysis according to the pollution sources. And the second mode is sensor on-line monitoring based on a sensor, and under the second mode, the pollution sources such as waste water and waste gas are monitored on line in real time, and the pollution source monitoring data is uniformly managed by collecting, transmitting, counting, analyzing and the like the pollution monitoring data.
However, the two monitoring methods have the following disadvantages that the method for analyzing and researching the source is quite complex, the accuracy of the method can be influenced by the size of the sampling range and the research time, and the accuracy of determining the pollution source is difficult to grasp; the sensor data in the second mode is lack of correction, the drift is obvious, the error is large, and the sensor reading has fluctuation trends which are difficult to avoid, the fluctuation trends are not caused by the fluctuation of a pollution source, are caused by non-pollution source factors such as the time trend of the settlement of pollutants, the sudden change of weather and the like, and the accuracy is difficult to grasp.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the first objective of the present invention is to provide a method for detecting a pollution source, so as to improve the accuracy and efficiency of detecting the pollution source, achieve the real-time detection of the pollution source, and provide convenience for finding an abnormal pollution source and timely processing the abnormal pollution source.
The second purpose of the invention is to provide a pollution source detection device.
A third object of the invention is to propose a computer device.
A fourth object of the invention is to propose a non-transitory computer-readable storage medium.
A fifth object of the invention is to propose a computer program product.
In order to achieve the above object, an embodiment of the first aspect of the present invention provides a method for detecting a pollution source, including the following steps: acquiring a pollution type of a pollution source to be detected in a target area, and extracting pollution associated data of the pollution source according to the pollution type; calculating the pollution associated data according to a preset algorithm to obtain the pollution activity of the pollution source; calculating an emission index of the pollution source according to the pollution activity; and acquiring emission indexes of all pollution sources in the target area, and determining the target pollution sources meeting the screening conditions according to the emission indexes of all pollution sources.
In order to achieve the above object, a second aspect of the present invention provides a pollution source detection device, including: the extraction module is used for acquiring the pollution type of a pollution source to be detected in a target area and extracting pollution associated data of the pollution source according to the pollution type; the acquisition module is used for calculating the pollution associated data according to a preset algorithm to acquire the pollution activity of the pollution source; the calculation module is used for calculating the emission index of the pollution source according to the pollution activity; and the determining module is used for acquiring the emission indexes of all the pollution sources in the target area and determining the target pollution sources meeting the screening conditions according to the emission indexes of all the pollution sources.
To achieve the above object, a third embodiment of the present invention provides a computer device, including: a processor and a memory; wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the pollution source detection method as described in the above embodiments.
In order to achieve the above object, a fourth aspect of the present invention provides a non-transitory computer-readable storage medium, wherein when executed by a processor, the program implements the pollution source detection method as described in the above embodiments.
In order to achieve the above object, a fifth aspect of the present invention provides a computer program product, wherein when being executed by an instruction processor, the computer program product performs the pollution source detection method as described in the above embodiments.
The technical scheme provided by the invention at least has the following beneficial technical effects:
the accuracy and the efficiency of pollution source detection are improved, the real-time performance of pollution source detection is realized, and convenience is provided for finding abnormal pollution sources and timely processing the abnormal pollution sources.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a pollution source detection method according to one embodiment of the present invention;
FIG. 2 is a schematic illustration of a display marking on a map of a pollution source according to one embodiment of the present invention;
FIG. 3 is a flow chart of a pollution source detection method according to another embodiment of the present invention;
FIG. 4 is a flow chart of a contamination source detection method according to yet another embodiment of the present invention;
FIG. 5 is a graphical illustration of pollution associated data according to one embodiment of the present invention; and
fig. 6 is a schematic structural diagram of a pollution source detection device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A pollution source detection method and apparatus of an embodiment of the present invention will be described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a pollution source detection method according to an embodiment of the present invention, as shown in fig. 1, the method including:
The target area in the embodiment of the present invention is an area to be detected of a pollution source, and the target area may be divided according to administrative areas, for example, corresponding to areas in the province of Jiangsu, the province of Henan, and the like, or may be an area divided by itself according to scene needs, and the like.
In addition, the pollution sources to be detected can include industrial pollution sources, domestic pollution sources, agricultural pollution sources, traffic pollution sources and the like, and it is easily understood that each pollution source corresponds to a plurality of pollution types, for example, the industrial pollution sources correspond to a centralized pollution treatment facility pollution type, a city construction pollution type, a heavy industrial factory pollution type, a light industrial factory type and the like.
Specifically, in order to perform pollution detection on a pollution source in a target area, first, a pollution type of the pollution source to be detected in the target area needs to be acquired, and what type of pollution source to be detected is included in the target area is determined, where the type of pollution source to be detected can be determined based on an address type in the target area registered on an acquisition map, for example, if it is determined that the address type included in the target area 1 is restaurant type and industrial type, it is determined that the target area includes a living pollution source, an industrial pollution source, and a traffic pollution source.
Further, the pollution associated data of the pollution source is extracted according to the type of the pollution source, so as to determine the pollution level of the pollution source in the area further according to the pollution associated data, wherein it is emphasized that the pollution associated data of the pollution source is related parameters capable of indirectly reflecting the pollution level of the pollution source, for example, when the pollution source to be detected is an industrial pollution source, the pollution associated data can be calculated through the associated data of the number of construction persons (determined by the number of card readers, etc.) and the construction strength of a construction site causing the industrial pollution, for example, when the pollution source to be detected is a living pollution source, the pollution intensity can be determined through the associated data of the number of dining persons (determined by the number of payers, etc.) and the amount of restaurant sewage, the number of hair salons, the number of car repair factories and vehicle repair, etc., thereby, the pollution intensity is determined based on the pollution associated data indirectly reflecting the pollution intensity of the pollution, on the one hand, the acquisition is easy, and on the other hand, the error is small.
And 102, calculating the pollution associated data according to a preset algorithm to obtain the pollution activity of the pollution source.
The pollution activity represents the activity degree of the associated data corresponding to the pollution source, the greater the change of the associated data of the pollution source, or the higher the associated data is, the greater the pollution activity is, the more possible the pollution is to be affected, the greater the pollution degree is, and under different application scenarios, the pollution activity can be represented by a grade, a percentile system number, or a ten-tenth system number, etc.
According to different application scenes, the pollution associated data are calculated, preset algorithms for acquiring pollution activity of pollution sources are different, as a possible implementation mode, normalization processing is performed on the associated data, various associated data are processed into a uniform representation format, for example, the associated data are processed into uniform percentile representation, and then the sum of values after normalization processing is used as the pollution activity.
As another possible implementation manner, different weights are set according to different degrees of influence of the associated data on the pollution, so that after normalization processing is performed on the associated data, for example, the processing is performed to be uniform percentile representation, and after the processed data is multiplied by corresponding weight values, the values multiplied by the weights are summed to be the pollution activity.
Of course, when the associated data corresponding to the pollution source is only one type, the same normalization process may be performed based on the associated data corresponding to other pollution sources for convenience of calculation.
And 103, calculating the emission index of the pollution source according to the pollution activity.
As analyzed above, the higher the pollution activity, the greater the pollution level of the corresponding pollution source, and in order to determine its specific influence on the pollution, in the embodiment of the present invention, the emission index of the pollution source is calculated according to the pollution activity, and the higher the emission index, the greater the pollution intensity is represented.
In an embodiment of the present invention, in order to more intuitively represent the emission indexes of the pollution sources so that relevant people can intuitively know the pollution degrees of the corresponding pollution sources, an index range may be preset to divide the emission indexes of all the pollution sources according to the preset index range, and the emission indexes of all the pollution sources are marked on a map according to different pollution degrees, for example, by using marks corresponding to different colors, different patterns, and the like.
For example, when the pollution index is expressed in a decimal system and marked on a map in a way of being marked with different colors, as shown in the following table 1:
TABLE 1
| Emission index range | Degree of contamination | Color of the mark |
| [0-2) | Weak (weak) | Green colour |
| [2-5) | In | Orange color |
| [5-8) | Height of | Rosy color |
| [8-10] | Is higher than | Scarlet color |
Therefore, the corresponding pollution degree can be obtained by querying the table according to the obtained pollution index, and then the corresponding color is marked on the map according to the pollution degree, so that as shown in fig. 2 (different colors are represented by different gray values in the map), a user can visually know the pollution degree of the pollution source corresponding to each area on the map, wherein the pollution source in fig. 2 comprises an industrial pollution source, an agricultural pollution source and a living pollution source, the pollution type corresponding to the living pollution source comprises food, transportation facilities, beauty, leisure entertainment, living services, shopping, hotels, automobile services and the like, and the pollution type corresponding to the industrial pollution source and the agricultural pollution source comprises company enterprises and the like.
It should be noted that, according to different application scenarios, the emission index of the pollution source calculated according to the pollution activity is different, and the following example is given:
in some possible examples, a deep learning model is established in advance according to a large amount of experimental data, the deep learning model has the input of pollution activity and the output of emission index of a pollution source, and therefore the pollution activity is input into the deep learning model to obtain the output emission index.
In other possible examples, because the pollution sources have different degrees of influence on the environmental pollution, for example, the pollution degree of an industrial pollution source to the environment of a living pollution source is greater, according to the investigation data of the degrees of influence of different pollution sources on the environment, the pollution weight corresponding to the pollution source is preset, further, in the embodiment of the present invention, the pollution weight of the pollution source is obtained, the pollution weight and the pollution activity of the pollution source are calculated according to a preset algorithm, the emission index of the pollution source is obtained, for example, if the pollution source is a, the activity a corresponding to the pollution type included in the pollution source is multiplied by the pollution weight corresponding to the pollution source, and the product value is used as the emission index of the pollution source.
In this example, in order to ensure the accuracy of the detection, the update adjustment may be performed on the pollution type corresponding weight in real time, specifically, in this example, as shown in fig. 3, the method further includes:
at step 201, an initial weight corresponding to a pollution type of a pollution source is obtained.
Specifically, since different types of pollution sources have different degrees of influence on environmental pollution, for example, the degree of pollution of a light industrial plant pollution type is lower than that of pollution of a heavy industrial pollution type, in order to further improve the calculation accuracy, corresponding initial weights may be set for different pollution types, where the initial weights may be obtained by performing calculation and analysis on related personnel according to a large amount of experimental data in advance, and generally, the greater the degree of influence on environmental pollution, the higher the set initial weight is.
In one embodiment of the present invention, for example, the pollution sources are classified into three levels or more than three levels according to the relationship of the upper and lower levels, the primary classification of the pollution sources shown in table 2 below includes industrial pollution sources, domestic pollution sources, agricultural pollution sources, traffic pollution sources, and the like, the initial weight is set according to the pollution degree for the pollution sources under the category, the secondary classification includes various pollution types respectively belonging to the primary classification, for example, pollution types of a centralized pollution treatment facility belonging to the industrial pollution sources, and the like, the initial weight is set according to the pollution degree for the pollution types under the category, the tertiary classification includes sub-pollution types belonging to the pollution types, for example, pollution types belonging to coal yards of heavy industrial pollution types such as petrochemical, and the like, and the initial weight is set according to the pollution degree for the sub-pollution types under the category, wherein the initial weight can be set according to a large amount of professional knowledge:
TABLE 2
And 202, adjusting the initial weight according to the pollution index monitoring of the pollution source, and acquiring the pollution weight of the pollution source.
It can be understood that when a certain type of pollution source is active, the pollution to the environment may cause quality change along with the accumulation of time, and the pollution will become a main pollution source affecting the environment, based on which it is understood that if a living pollution source having a low influence on the environment is active, the living pollution source may become a main pollution source, and if an industrial pollution source having a high influence on the environment is inactive, the industrial pollution source may not become a main pollution source, so that, in order to find the main pollution source causing the environmental deterioration as early as possible and treat the main pollution source as early as possible, it is necessary to monitor and adjust the initial weight according to the pollution index of the pollution source to obtain the pollution weight of the pollution source, wherein, when the pollution index of the pollution source increases by a large extent or is always active, the corresponding weight is increased, otherwise, to avoid misjudgment, and when the pollution index of the pollution source is small in increase amplitude or is always inactive, the corresponding weight is reduced.
And 104, acquiring emission indexes of all pollution sources in the target area, and determining the target pollution sources meeting the screening conditions according to the emission indexes of all pollution sources.
In order to find out the main pollution sources causing the pollution of the target area, the main pollution sources are timely remediated, the emission indexes of all the pollution sources in the target area are obtained, the target pollution sources meeting the screening conditions are determined according to the emission indexes of all the pollution sources, and the target pollution sources are the main pollution sources with large pollution degrees which need to be determined.
Further, after determining the main pollution source, taking corresponding treatment measures according to the specific pollution degree of the pollution source:
specifically, in one embodiment of the present invention, as shown in fig. 4, after the step 102, the method further includes:
step 301, comparing the contamination activity of the contamination source with a preset first threshold value.
The preset first threshold value may be calibrated according to the scene application requirements, and when the pollution activity is greater than the first threshold value, it indicates that the pollution degree of the current pollution source is greater.
Step 302, if it is known that the pollution activity is greater than the first threshold value, credit index data of the pollution source is obtained.
Specifically, when the pollution activity is greater than the first threshold, it indicates that the pollution level of the current pollution source is large, so as to further determine the processing operation on the pollution source, and obtain credit index data of the pollution source, where the credit index data of the pollution source includes legal credit records of the enterprise corresponding to the pollution source, penalty records of the enterprise, financial credit records of the enterprise, and the like.
And 303, calculating the credit index data according to a preset algorithm to obtain the pollution credit degree of the pollution source.
Specifically, the credit indicator data is calculated according to a preset algorithm, for example, a plurality of credit indicators are normalized and summed to obtain the pollution credit degree of the pollution.
And step 304, comparing the pollution credit of the pollution source with a preset second threshold value.
And 305, if the pollution credit is greater than the second threshold value, performing early warning treatment on the pollution source.
The preset second threshold value can be calibrated according to a large amount of experimental data, and the second threshold value is used for determining whether an enterprise corresponding to the pollution source has the capacity of effectively treating the pollution or not.
Specifically, if it is known that the pollution credit is greater than the second threshold, an early warning process is performed on the pollution source, for example, pollution warning information is sent to an enterprise corresponding to the pollution source, so that the corresponding enterprise can sample pollution and the like. If the pollution credit is less than or equal to the second threshold value, law enforcement is carried out by related departments, and related enterprises are shut down.
In order to further effectively manage pollution, in an embodiment of the present invention, attention can be paid to changes in the pollution degree of a more active pollution source, and the pollution source with abnormal trend can be timely treated.
Specifically, after the pollution source is subjected to early warning processing, pollution-related data of the pollution source within a preset time (the preset time is set according to the scene requirement and can be 10 days or 3 months, etc.) is collected, a trend rule of the pollution-related data is analyzed, and an abnormality of the pollution source is detected according to the trend rule, for example, when the pollution types of the pollution source include two types and the corresponding pollution-related data are 1 and 2, as shown in fig. 5, after the pollution-related data of the pollution source within 10 days is collected, a graph is generated according to the collected pollution-related data, the pollution degree of the pollution source can be visually seen to be gradually increased from the first day to the 9 th day, so that the pollution to the environment can be prevented by intervention processing of relevant departments, wherein, the pollution-related data 2 rapidly decreases from the 9 th day to the 10 th day, and an abnormality occurs, whether the reason for the decline can be emergency pollution-avoiding inspection or not through intervention investigation of relevant departments, abnormality is timely found, and the occurrence of cat hiding behavior of relevant enterprises is avoided, wherein for pollution-associated data 1, due to the steady increase of the pollution-associated data, in order to avoid the pollution source corresponding to the environment to cause pollution of a large degree, pollution early warning and the like need to be carried out aiming at the pollution type of the increased pollution source, and the relevant enterprises are reminded to strengthen supervision and the like.
Therefore, the pollution source detection method provided by the embodiment of the invention analyzes the pollution degree of the pollution source based on the pollution associated data related to the pollution source, does not need to collect the full data of the pollution source, is simple and efficient to operate and high in accuracy, and provides convenience for finding the abnormal pollution source and timely processing the abnormal pollution source based on the real-time performance of the pollution source detection.
In summary, the pollution source detection method according to the embodiment of the present invention obtains the pollution type of the pollution source to be detected in the target area, extracts the pollution associated data of the pollution source according to the pollution type, calculates the pollution associated data according to the preset algorithm, obtains the pollution activity of the pollution source, further calculates the emission index of the pollution source according to the pollution activity, obtains the emission indexes of all the pollution sources in the target area, and determines the target pollution source meeting the screening condition according to the emission indexes of all the pollution sources. Therefore, the accuracy and the efficiency of pollution source detection are improved, the real-time performance of the pollution source detection is realized, and convenience is provided for finding an abnormal pollution source and timely processing the abnormal pollution source.
In order to implement the above embodiment, the present invention further provides a pollution source detection device, and fig. 6 is a schematic structural diagram of the pollution source detection device according to an embodiment of the present invention, as shown in fig. 6, the device includes: an extraction module 100, an acquisition module 200, a calculation module 300 and a determination module 400.
The extraction module 100 is configured to obtain a pollution type of a pollution source to be detected in a target area, and extract pollution-related data of the pollution source according to the pollution type.
The obtaining module 200 is configured to calculate the pollution-related data according to a preset algorithm, and obtain a pollution activity of the pollution source.
And the calculating module 300 is used for calculating the emission index of the pollution source according to the pollution activity.
The determining module 400 is configured to obtain emission indexes of all pollution sources in the target area, and determine a target pollution source meeting the screening condition according to the emission indexes of all pollution sources.
It should be noted that the foregoing explanation of the embodiment of the pollution source detection method is also applicable to the pollution source detection device of the embodiment, and is not repeated herein.
In summary, the pollution source detection device according to the embodiment of the present invention obtains the pollution type of the pollution source to be detected in the target area, extracts the pollution associated data of the pollution source according to the pollution type, calculates the pollution associated data according to the preset algorithm, obtains the pollution activity of the pollution source, further calculates the emission index of the pollution source according to the pollution activity, obtains the emission indexes of all the pollution sources in the target area, and determines the target pollution source meeting the screening condition according to the emission indexes of all the pollution sources. Therefore, the accuracy and the efficiency of pollution source detection are improved, the real-time performance of the pollution source detection is realized, and convenience is provided for finding an abnormal pollution source and timely processing the abnormal pollution source.
In order to implement the foregoing embodiment, the present invention further provides a computer device, including: a processor, wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, for implementing the pollution source detection method described in the above embodiments.
In order to implement the above-mentioned embodiments, the present invention also proposes a non-transitory computer-readable storage medium, in which instructions, when executed by a processor, enable execution of the pollution source detection method shown in the above-mentioned embodiments.
In order to implement the above embodiments, the present invention further provides a computer program product, which when executed by an instruction processor in the computer program product, executes the pollution source detection method shown in the above embodiments.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A pollution source detection method is characterized by comprising the following steps:
acquiring a pollution type of a pollution source to be detected in a target area, and extracting pollution associated data of the pollution source according to the pollution type;
calculating the pollution associated data according to a preset algorithm to obtain the pollution activity of the pollution source;
calculating an emission index of the pollution source according to the pollution activity;
and acquiring emission indexes of all pollution sources in the target area, and determining the target pollution sources meeting the screening conditions according to the emission indexes of all pollution sources.
2. The method of claim 1, further comprising, after said obtaining an emission index for all pollution sources within the target area:
dividing the emission indexes of all pollution sources according to a preset index range;
and marking on the map according to different pollution levels.
3. The method of claim 1, wherein said calculating an emission index of the pollution source as a function of the pollution activity comprises:
acquiring the pollution weight of the pollution source;
and calculating the pollution weight and the pollution activity of the pollution source according to a preset algorithm to obtain the emission index of the pollution source.
4. The method of claim 3, further comprising, prior to said obtaining a pollution weight for said pollution source:
acquiring an initial weight corresponding to the pollution type of the pollution source;
and adjusting the initial weight according to the pollution index monitoring of the pollution source to obtain the pollution weight of the pollution source.
5. The method of claim 1, further comprising, after said obtaining a contamination activity of said contamination source:
comparing the pollution activity of the pollution source with a preset first threshold value;
if the pollution activity is larger than the first threshold value, acquiring credit index data of the pollution source;
calculating the credit index data according to a preset algorithm to obtain the pollution credit degree of the pollution source;
comparing the pollution credit of the pollution source with a preset second threshold value;
and if the pollution credit is larger than the second threshold value, carrying out early warning treatment on the pollution source.
6. The method of claim 5, further comprising, after the pre-warning treatment of the pollution source:
collecting pollution associated data of the pollution source within a preset time length;
and analyzing the trend rule of the pollution associated data, and monitoring the abnormity of the pollution source according to the trend rule.
7. A pollution source detection device, comprising:
the extraction module is used for acquiring the pollution type of a pollution source to be detected in a target area and extracting pollution associated data of the pollution source according to the pollution type;
the acquisition module is used for calculating the pollution associated data according to a preset algorithm to acquire the pollution activity of the pollution source;
the calculation module is used for calculating the emission index of the pollution source according to the pollution activity;
and the determining module is used for acquiring the emission indexes of all the pollution sources in the target area and determining the target pollution sources meeting the screening conditions according to the emission indexes of all the pollution sources.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the pollution source detection method according to any one of claims 1 to 7 when executing the program.
9. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the pollution source detection method according to any one of claims 1 to 7.
10. A computer program product, characterized in that instructions in the computer program product, when executed by a processor, perform the pollution source detection method according to any one of claims 1-7.
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| CN201810719138.5A CN110672144B (en) | 2018-07-03 | 2018-07-03 | Pollution source detection method and device |
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