CN113590687B - Industrial pollution source monitoring data analysis method and system - Google Patents
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Abstract
The invention is suitable for the field of computers, and provides an industrial pollution source monitoring data analysis method and system, which are used for carrying out multilevel analysis on received pollution data which is uploaded by monitoring equipment at different positions in a timing manner to obtain pollution source analysis data; wherein the pollution data comprises hourly flow data and hourly concentration data; and according to the pollution source analysis data, sending indication information to a monitoring end of a monitoring department, so that the monitoring department can conveniently master pollution source pollution discharge dynamics in a monitoring area. Because the monitoring devices are continuously and uniformly distributed, and the monitored data are uploaded at regular time, all-weather and all-around monitoring can be carried out on the pollution sources in the monitoring area, the regional range of the spread of pollutants discharged by the pollution sources can be deduced through the pollution data uploaded by the monitoring devices at different positions, and then the control indexes and the control policy of the discharge amount of the pollution sources are adjusted.
Description
Technical Field
The invention belongs to the field of computers, and particularly relates to an industrial pollution source monitoring data analysis method and system.
Background
With the rapid development of socioeconomic in China, the problem of environmental pollution is more serious, and the problem has become a problem of wide social attention. The pollution source is the source of environmental pollution, the pollution source includes air pollution source, water pollution source, etc., the content of environmental monitoring includes pollution source monitoring, adopt the environmental monitoring means to confirm the emission source, emission amount, pollutant kind, etc. of pollutant, provide powerful data support for environmental monitoring, also provide the basis for controlling pollution source emission and environmental pollution dispute.
The monitoring data is very critical in the whole work of supervision, monitoring and control of pollution sources. At present, the abilities of many supervision and detection departments have many defects, the monitoring frequency is low, the integrity and the continuity of data are not enough, the monitoring data is incomplete, many data indexes do not have a very effective data reference, and the depth and the breadth of data analysis are not enough.
Disclosure of Invention
The embodiment of the invention provides an industrial pollution source monitoring data analysis method and system, and aims to solve the problems that the existing capabilities of many supervision and detection departments have many defects, the monitoring frequency is low, the integrity and continuity of data are not enough, and the monitoring data are incomplete.
The embodiment of the invention is realized in such a way that, on one hand, an industrial pollution source monitoring data analysis method comprises the following steps:
receiving pollution data uploaded by monitoring equipment at different positions at regular time; the pollution data comprises hourly flow data and hourly concentration data;
carrying out multilevel analysis on the pollution data to obtain pollution source analysis data;
and according to the pollution source analysis data, sending indication information to a monitoring end of a monitoring department, so that the monitoring department can conveniently master pollution source pollution discharge dynamics in a monitoring area.
As a modified scheme of the invention: the monitoring equipment is uniformly distributed in a region through which the pollution source emissions flow according to the geographical position; the monitoring equipment has a timing function, and when the set time value is reached, the monitoring equipment automatically uploads the detected pollution data.
As a further improvement of the invention: time differences exist among the time points of the pollution data uploaded by the plurality of monitoring devices, an arithmetic progression is formed among the time points of the pollution data uploaded by the plurality of monitoring devices according to the sequence from near to far from the pollution source by taking the first monitoring device close to the pollution source as a reference, and the tolerance of the arithmetic progression is a unit time difference.
As another improvement of the invention: the analyzing the pollution data in multiple levels to obtain the pollution source analysis data specifically comprises:
extracting hour concentration data uploaded by a plurality of monitoring devices corresponding to time points in a time group from received pollution data in an arithmetic progression time group;
analyzing the decay rate of the extracted hour concentration data;
judging whether the attenuation rate is smaller than a preset environmental purification rate or not;
and when the attenuation rate is not less than the preset environment purification rate, generating environment overload purification information.
As a further scheme of the invention: the analyzing the pollution data in multiple levels to obtain the pollution source analysis data specifically comprises:
extracting all pollution data uploaded by the same monitoring device within a specified time period;
analyzing to obtain the total pollutant emission amount of the pollution source in a specified time period according to the extracted pollution data;
judging whether the total pollutant emission amount is greater than the specified emission amount;
and when the total pollutant emission amount is greater than the specified emission amount, generating emission early warning information.
As a further scheme of the invention: the analyzing the pollution data in multiple levels to obtain the pollution source analysis data specifically comprises:
extracting all pollution data in the monitoring area;
accumulating and counting the extracted pollution data at different time intervals to obtain statistical data of the change of pollutant discharge amount in the area along with time;
and locking the time period with the maximum pollutant discharge amount and the time period with the minimum pollutant discharge amount in the area according to the statistical data.
As an optimization scheme of the invention: according to pollution source analysis data, the monitoring terminal of the supervision department sends instruction information, and the monitoring department can conveniently master pollution source pollution discharge dynamics in the monitoring area, and the monitoring department specifically comprises the following steps:
generating emission shrinkage indication information according to the environmental overload purification information;
and sending the emission shrinkage indication information to the monitoring end and the emission end, wherein the information is used for the monitoring department to master the pollution source emission dynamics in the monitoring area, and is also used for the emission end user to control the emission capacity of the pollution source.
As another scheme of the invention: according to pollution source analysis data, the monitoring terminal of the supervision department sends instruction information, and the monitoring department can conveniently master pollution source pollution discharge dynamics in the monitoring area, and the monitoring department specifically comprises the following steps:
sending the emission early warning information to a monitoring end, an emission end and an environmental assessment end;
receiving penalty information uploaded by the monitoring end, and sending the penalty information to the discharge end;
accumulating the violation times of the discharge end;
when the violation times are larger than the specified times, sending a confirmation instruction to the ring evaluation terminal;
receiving the expense information of the expense information ring-appraisal certificate sent by the ring-appraisal end, and sending the expense information to the discharge end.
In another aspect, an industrial pollution source monitoring data analysis system includes:
the pollution data receiving module is used for receiving pollution data uploaded by monitoring equipment at different positions at regular time;
the data analysis module is used for carrying out multilevel analysis on the pollution data to obtain pollution source analysis data;
and the indicating information sending module is used for sending indicating information to a monitoring end of a monitoring department according to the pollution source analysis data, so that the monitoring department can conveniently master pollution source pollution discharge dynamics in a monitoring area.
The invention has the beneficial effects that: carrying out multilevel analysis on the received pollution data which is uploaded by monitoring equipment at different positions at regular time to obtain pollution source analysis data; wherein the pollution data comprises hourly flow data and hourly concentration data; and according to the pollution source analysis data, sending indication information to a monitoring end of a monitoring department, so that the monitoring department can conveniently master pollution source pollution discharge dynamics in a monitoring area. Because the monitoring devices are continuously and uniformly distributed, and the monitored data are uploaded at regular time, all-weather and all-around monitoring can be carried out on the pollution sources in the monitoring area, the regional range of the spread of pollutants discharged by the pollution sources can be deduced through the pollution data uploaded by the monitoring devices at different positions, and then the control indexes and the control policy of the discharge amount of the pollution sources are adjusted. The problem of many abilities of supervision and detection departments have many defects now, and monitoring frequency is lower, and data's integrality and continuity are not enough, cause the monitoring data incomplete is solved.
Drawings
FIG. 1 is a schematic diagram of an operational environment of an industrial pollution source monitoring data analysis method;
FIG. 2 is a main flow chart of a method for analyzing monitoring data of an industrial pollution source;
FIG. 3 is a flow chart of one of the data analysis methods of the industrial pollution source monitoring data analysis;
FIG. 4 is a flow chart of the application of indicating information in a method for analyzing monitoring data of an industrial pollution source;
fig. 5 is a schematic diagram of an internal structure of an industrial pollution source monitoring data analysis system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The method comprises the steps of carrying out multilevel analysis on received pollution data which are uploaded by monitoring equipment 1 at different positions in a timing mode to obtain pollution source analysis data; wherein the pollution data comprises hourly flow data and hourly concentration data; according to the pollution source analysis data, the instruction information is sent to the monitoring end 2 of the monitoring department, so that the monitoring department can conveniently master pollution source pollution discharge dynamics in the monitoring area. Because monitoring facilities 1 are evenly distributed continuously, and the data of control are uploaded regularly, can carry out all-weather and omnidirectional control to the pollution source in the control area, can deduce the regional scope that the pollutant that the pollution source discharged covered through the pollution data that monitoring facilities 1 of different positions department uploaded, and then adjust control index and the control policy to the pollution source emission. The problem of many abilities of supervision and detection departments have many defects now, and monitoring frequency is lower, and data's integrality and continuity are not enough, cause the monitoring data incomplete is solved.
Fig. 1 shows a schematic view of an operating environment structure of an industrial pollution source monitoring data analysis method according to an embodiment of the present invention, where a monitoring device 1 is arranged in a radiation manner along a path through which a pollution source flows, the monitoring device 1 detects pollutants passing through the vicinity of the monitoring device 1, uploads the detected data to an industrial pollution source monitoring data analysis system, and the system analyzes the data and sends indication information to a monitoring terminal 2, a discharge terminal 3, and a ring evaluation terminal 4 according to an analysis result. After the monitoring end 2 and the environmental assessment end 4 receive the indication information, corresponding reply information is made, the system forwards the reply information to the discharge end 3, and the number of times of the reply information is counted, so that the number of times of illegal discharge of the discharge end 3 is monitored, and the environmental assessment end 4 can make corresponding penalties.
Fig. 2 shows a main flow chart of an industrial pollution source monitoring data analysis method according to an embodiment of the present invention, the industrial pollution source monitoring data analysis method includes:
step S10: receiving pollution data uploaded by monitoring equipment 1 at different positions at regular time; the contamination data includes hourly flow data and hourly concentration data. The monitoring devices 1 are uniformly distributed in a region through which pollution source emissions flow according to the geographical position; the monitoring device 1 has a timing function, and when a set time value is reached, the monitoring device 1 automatically uploads detected pollution data. Time differences exist among the time points of the pollution data uploaded by the plurality of monitoring devices 1, an arithmetic progression is formed among the time points of the pollution data uploaded by the plurality of monitoring devices 1 according to the sequence from near to far from the pollution source by taking the first monitoring device 1 close to the pollution source as a reference, and the tolerance of the arithmetic progression is a unit time difference. The hourly discharge is the product of the hourly mean concentration of pollutants that pass the validity audit during normal operation of the pollution discharge facility and the corresponding hourly mean flow of wastewater.
Step S11: and carrying out multi-level analysis on the pollution data to obtain pollution source analysis data. The analysis data comprises the total pollutant emission amount in a certain time period, the hourly concentration data and the hourly flow data change condition of pollutants in a specified time period, and can also comprise statistical analysis of pollutant emission amount in a region, analysis and comparison on the geographical position and the time longitudinal length, monitoring of dynamic change of a pollution source in a certain region and the like.
Step S12: according to the pollution source analysis data, the instruction information is sent to the monitoring end 2 of the monitoring department, so that the monitoring department can conveniently master pollution source pollution discharge dynamics in the monitoring area. Besides, the system can also send messages to a ring assessment related organization, so that units with qualified and related emission discharge qualities can be monitored conveniently.
Fig. 3 shows a data analysis flowchart of a method for analyzing industrial pollution source monitoring data according to an embodiment of the present invention, where the analyzing pollution data in multiple levels to obtain pollution source analysis data specifically includes:
step S20: and extracting hour concentration data uploaded by a plurality of monitoring devices 1 corresponding to time points in a time group from the received pollution data in an arithmetic progression time group. Because the time points of the pollution data uploaded by the plurality of monitoring devices 1 are set according to the arithmetic progression, the time points of the pollution data uploaded by the other devices can be known by taking the time point of the pollution data uploaded by one monitoring device 1 as a reference, the time points are a group of arithmetic progression time groups, and each time point corresponds to one pollution data uploaded by one monitoring device 1 in the arithmetic progression time group.
Step S21: the extracted hourly concentration data were analyzed for decay rate. Because the time points of the pollution data uploaded by the plurality of monitoring devices 1 are set according to an arithmetic progression, the tolerance of the arithmetic progression is deduced from the flow rate of the pollution source, the same pollutant flowing out of the pollution source sequentially passes through the plurality of monitoring devices 1, but the time points of the pollutant passing through the monitoring devices 1 are definitely different, the flow rate mean value of the pollutant does not change greatly under the condition of small change of environmental factors, the time points of the pollutant flowing through each monitoring device 1 can be calculated according to the mean value and the distance between each monitoring device 1, and the time points are approximately in the arithmetic progression. As the pollutants are circulated in the environment and absorbed and purified by vegetation or microorganisms in the environment, the self-purification capacity of the environment is limited, when the discharge amount of the pollutants exceeds the self-purification capacity of the environment, the environment is destructively damaged, and the environment cannot be developed in the environment with the pollutants in overload.
Step S22: and judging whether the attenuation rate is smaller than a preset environment purification rate or not. The preset environmental purification rate is reversely calculated according to the self-purification capacity limit of the environment. The decay rate is the rate at which the pollution data uploaded by each monitoring device 1 decreases after the pollutant has flowed through each monitoring device 1. The faster the reduction speed is, the stronger the current self-cleaning capability of the environment is. The slower the reduction speed, the overload of the pollutant discharge in the environment, and the reduction of the self-purification efficiency of the self-purification capacity to the pollutants.
Step S23: and when the attenuation rate is not less than the preset environment purification rate, generating environment overload purification information.
In one aspect of this embodiment, the performing multi-level analysis on the pollution data to obtain the pollution source analysis data specifically includes:
step S30: all the pollution data uploaded by the same monitoring device 1 within a given time period are extracted.
Step S31: and analyzing to obtain the total pollutant emission amount of the pollution source in a specified time period according to the extracted pollution data.
Step S32: and judging whether the total pollutant emission amount is larger than the specified emission amount.
Step S33: and when the total pollutant emission amount is greater than the specified emission amount, generating emission early warning information. The discharge amount of the pollution source at each time is regulated, but the total annual discharge amount is also regulated, so that the discharge amount of the factory at each time point is prevented from being in an overproof critical value, and the awareness of the factory on pollution discharge treatment is strengthened. In addition, the pollution data uploaded by one monitoring device 1 can be accumulated in real time, the difference between the accumulated total pollution discharge amount value and the specified total emission amount is monitored, the emission amount of each month is planned in combination with time, when the total emission amount of a certain month exceeds the expected planned emission amount, a reminding message is sent to the emission end 3, and the planned emission amount of the following month is correspondingly changed.
In one aspect of this embodiment, the performing multi-level analysis on the pollution data to obtain the pollution source analysis data specifically includes:
step S40: all contamination data within the monitored area is extracted.
Step S41: and accumulating and counting the extracted pollution data at different time intervals to obtain statistical data of the change of the pollutant discharge amount in the area along with time.
Step S42: and locking the time period with the maximum pollutant discharge amount and the time period with the minimum pollutant discharge amount in the area according to the statistical data. The method can prevent a plurality of factories in an area from concentrating on pollution discharge to the environment in a time period, so that the environment is subjected to excessive pressure in the time period and the environment is possibly damaged, and the factories in the area can be arranged to discharge treated pollutants in a staggered mode according to the time period with the maximum and minimum locked pollutant discharge amount, so that the amount of the pollutants carried by the environment is reduced, and the environment is kept with high self-cleaning capacity. Related departments can increase the control force, adjust the pollution discharge policy, avoid concentrated pollution discharge and evacuate a pollution discharge factory. Besides, the number of times of uploading the pollution data of the monitoring equipment 1 can be monitored or the working time of the monitoring equipment 1 can be monitored, and after the monitoring equipment 1 works for a certain time, the detection consumables in the monitoring equipment 1 are replaced regularly.
Fig. 4 shows a flow chart of application of indication information in an industrial pollution source monitoring data analysis method according to an embodiment of the present invention, where sending the indication information to the monitoring terminal 2 of the monitoring department according to the pollution source analysis data to facilitate the monitoring department to grasp the pollution source pollution discharge dynamics in the monitoring area specifically includes:
step S50: and sending the emission early warning information to the monitoring terminal 2, the emission terminal 3 and the environmental assessment terminal 4.
Step S51: and receiving the penalty information uploaded by the monitoring end 2 and sending the penalty information to the discharge end 3.
Step S52: the number of violations at the discharge end 3 is accumulated.
Step S53: and when the violation times are larger than the specified times, sending a confirmation instruction to the ring evaluation terminal 4.
Step S54: receiving the revoking information of the revoking circular appraisal certificate sent by the circular appraisal terminal 4, and sending the revoking information to the discharge terminal 3. When the pollutant discharged by the factory pollution source exceeds the standard times for a certain number of times, the relevant certificate of the qualified quality of the environmental pollution discharge of the factory can be directly cancelled by the environmental assessment relevant organization without being detected on site, so that the workload of a monitoring department is greatly saved, and the monitoring is relatively comprehensive.
In a case of this embodiment, the sending, according to the pollution source analysis data, the indication information to the monitoring end 2 of the monitoring department, so that the monitoring department can grasp the pollution source pollution discharge dynamics in the monitoring area specifically includes:
step S60: and generating emission shrinkage indication information according to the environmental overload purification information.
Step S61: and sending the emission shrinkage indication information to the monitoring end 2 and the emission end 3, wherein the information is used for a monitoring department to master the pollution source emission dynamics in the monitoring area, and is also used for an emission end 3 user to control the emission quantity of the pollution source.
Fig. 5 is a schematic diagram illustrating an internal structure of an industrial pollution source monitoring data analysis system according to an embodiment of the present invention, where the industrial pollution source monitoring data analysis system includes:
and the pollution data receiving module 100 is configured to receive pollution data periodically uploaded by the monitoring devices 1 at different locations.
And the data analysis module 200 is used for performing multi-level analysis on the pollution data to obtain pollution source analysis data.
And the indicating information sending module 300 is configured to send indicating information to the monitoring terminal 2 of the monitoring department according to the pollution source analysis data, so that the monitoring department can conveniently master pollution source pollution discharge dynamics in the monitoring area.
In order to load the above method and system to operate successfully, the system may include more or less components than those described above, or combine some components, or different components, in addition to the various modules described above, for example, input/output devices, network access devices, buses, processors, memories, and the like.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the system and which connects the various parts of the overall user terminal using various interfaces and lines.
The memory may be used to store computer and system programs and/or modules, and the processor may perform the various functions described above by operating or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth-state display system (e.g., product information acquisition templates corresponding to different product types, product information that needs to be issued by different product providers, etc.), and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (5)
1. A method for analyzing industrial pollution source monitoring data, the method comprising:
receiving pollution data uploaded by monitoring equipment at different positions at regular time; the pollution data comprises hourly flow data and hourly concentration data;
carrying out multilevel analysis on the pollution data to obtain pollution source analysis data;
according to the pollution source analysis data, sending indication information to a monitoring end of a monitoring department, so that the monitoring department can conveniently master pollution source pollution discharge dynamics in a monitoring area;
the analyzing the pollution data in multiple levels to obtain the pollution source analysis data specifically comprises:
extracting all pollution data in the monitoring area;
accumulating and counting the extracted pollution data at different time intervals to obtain statistical data of the change of pollutant discharge amount in the area along with time;
locking the time period with the maximum pollutant discharge amount and the time period with the minimum pollutant discharge amount in the region according to the statistical data;
the monitoring equipment is uniformly distributed in a region through which the pollution source emissions flow according to the geographical position; the monitoring equipment has a timing function, and automatically uploads detected pollution data when a set time value is reached;
time differences exist among time points of the pollution data uploaded by the plurality of monitoring devices, an arithmetic progression is formed among the time points of the pollution data uploaded by the plurality of monitoring devices according to the sequence from near to far from the pollution source by taking a first monitoring device close to the pollution source as a reference, and the tolerance of the arithmetic progression is a unit time difference;
the analyzing the pollution data in multiple levels to obtain the pollution source analysis data specifically further comprises:
extracting hour concentration data uploaded by a plurality of monitoring devices corresponding to time points in a time group from received pollution data in an arithmetic progression time group;
analyzing the decay rate of the extracted hour concentration data;
judging whether the attenuation rate is smaller than a preset environmental purification rate or not;
and when the attenuation rate is not less than the preset environment purification rate, generating environment overload purification information.
2. The method for analyzing industrial pollution source monitoring data according to claim 1, wherein the analyzing the pollution data in multiple levels to obtain the analysis data of the pollution source specifically comprises:
extracting all pollution data uploaded by the same monitoring device within a specified time period;
analyzing to obtain the total pollutant emission amount of the pollution source in a specified time period according to the extracted pollution data;
judging whether the total pollutant emission amount is greater than the specified emission amount;
and when the total pollutant emission amount is greater than the specified emission amount, generating emission early warning information.
3. The method for analyzing the monitoring data of the industrial pollution source according to claim 1, wherein the step of sending the indication information to the monitoring end of the monitoring department according to the analysis data of the pollution source, so that the monitoring department can conveniently master the pollution source pollution discharge dynamics in the monitoring area specifically comprises the steps of:
generating emission shrinkage indication information according to the environmental overload purification information;
and sending the emission shrinkage indication information to the monitoring end and the emission end, wherein the information is used for the monitoring department to master the pollution source emission dynamics in the monitoring area, and is also used for the emission end user to control the emission capacity of the pollution source.
4. The method for analyzing the monitoring data of the industrial pollution source according to claim 2, wherein the step of sending the indication information to the monitoring end of the monitoring department according to the analysis data of the pollution source, so that the monitoring department can conveniently master the pollution source pollution discharge dynamics in the monitoring area specifically comprises the steps of:
sending the emission early warning information to a monitoring end, an emission end and an environmental assessment end;
receiving penalty information uploaded by the monitoring end, and sending the penalty information to the discharge end;
accumulating the violation times of the discharge end;
when the violation times are larger than the specified times, sending a confirmation instruction to the ring evaluation terminal;
receiving the expense information of the expense information ring-appraisal certificate sent by the ring-appraisal end, and sending the expense information to the discharge end.
5. An industrial pollution source monitoring data analysis system, characterized in that the system comprises:
the pollution data receiving module is used for receiving pollution data uploaded by monitoring equipment at different positions at regular time;
the data analysis module is used for carrying out multilevel analysis on the pollution data to obtain pollution source analysis data;
the indication information sending module is used for sending indication information to a monitoring end of a monitoring department according to the pollution source analysis data, so that the monitoring department can conveniently master pollution source pollution discharge dynamics in a monitoring area;
the data analysis module also applies the following method:
extracting all pollution data in the monitoring area;
accumulating and counting the extracted pollution data at different time intervals to obtain statistical data of the change of pollutant discharge amount in the area along with time;
locking the time period with the maximum pollutant discharge amount and the time period with the minimum pollutant discharge amount in the region according to the statistical data;
the monitoring equipment is uniformly distributed in a region through which the pollution source emissions flow according to the geographical position; the monitoring equipment has a timing function, and automatically uploads detected pollution data when a set time value is reached;
time differences exist among time points of the pollution data uploaded by the plurality of monitoring devices, an arithmetic progression is formed among the time points of the pollution data uploaded by the plurality of monitoring devices according to the sequence from near to far from the pollution source by taking a first monitoring device close to the pollution source as a reference, and the tolerance of the arithmetic progression is a unit time difference;
the data analysis module is further configured to:
extracting hour concentration data uploaded by a plurality of monitoring devices corresponding to time points in a time group from received pollution data in an arithmetic progression time group;
analyzing the decay rate of the extracted hour concentration data;
judging whether the attenuation rate is smaller than a preset environmental purification rate or not;
and when the attenuation rate is not less than the preset environment purification rate, generating environment overload purification information.
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