CN115953056A - River water quality monitoring and early warning method, device, equipment and system - Google Patents
River water quality monitoring and early warning method, device, equipment and system Download PDFInfo
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- CN115953056A CN115953056A CN202211604387.2A CN202211604387A CN115953056A CN 115953056 A CN115953056 A CN 115953056A CN 202211604387 A CN202211604387 A CN 202211604387A CN 115953056 A CN115953056 A CN 115953056A
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Abstract
The present invention provides, comprising: acquiring water area data of each branch at a junction on a target flow section; acquiring emission data submitted by each enterprise on the tributary; judging whether the content of various water pollutants in the water area data is abnormal or not; if the content of any kind of water pollutants in the water area data is abnormal, determining the water pollutants with abnormal content as target pollutants, and determining the emission data including the target pollutants on the corresponding branch as evaluation data; judging whether enterprise illegal discharge exists on the corresponding branch according to the water area data and the evaluation data; and if the illegal enterprise emission exists, outputting risk early warning information. The method and the system realize that whether illegal operations such as stealing and draining multiple rows of enterprises exist or not is judged in time when the content of certain water pollutants is found to be abnormal at related imports, and risk early warning information is output in time to prompt when the condition that the enterprises discharge illegally is found, so that related personnel can find out in time.
Description
Technical Field
The invention relates to the field of environmental water quality monitoring, in particular to a river water quality monitoring and early warning method, device, equipment and readable storage medium.
Background
With the overall development of regional social economy, the demand of water resources is increasingly enlarged, the requirement on water quality is increasingly higher, the regional water environment problem is increasingly serious, and regional water pollution becomes the most serious water problem affecting regional development. Industrial enterprises emerge like bamboo shoots in spring after rain, and water pollution generated by the industrial enterprises cannot be ignored while the pulling area is economical;
enterprises in regions along the river often need to discharge industrial wastewater, but the discharge of water pollutants of the enterprises is not effectively monitored at present, so that the enterprises cannot quickly perceive that the pollutant content in the water area exceeds the standard due to illegal discharge, and therefore, the Yangtze river protection monitoring and early warning system based on edge calculation is provided.
Disclosure of Invention
The invention mainly aims to provide a river water quality monitoring and early warning method, a device, equipment and a readable storage medium, and aims to solve the problem that in the prior art, enterprises steal rows into rivers and cannot find the rows timely.
In a first aspect, the invention provides a river water quality monitoring and early warning method.
A river water quality monitoring and early warning method comprises the following steps:
acquiring water area data of each branch at a junction on a target flow section; wherein the water area data comprises water flow velocity, water pollutant types and different water pollutant contents;
judging whether the content of various water pollutants in the water area data is abnormal or not;
if the water pollutant content of any kind in the water area data is abnormal, acquiring discharge data submitted by each enterprise corresponding to the tributary; wherein the discharge data comprises discharge time of an enterprise, types of discharged water pollutants and discharge amount of various types of water pollutants;
and outputting risk early warning information corresponding to the risk grade according to the water area data and the emission data of each enterprise.
In some embodiments, the determining whether there is an illegal enterprise discharge on the corresponding tributary according to the water area data and the evaluation data includes:
judging whether the evaluation data have evaluation data corresponding to the time when the discharge time is abnormal with the content of the target pollutant in the water area data;
if yes, determining that the corresponding evaluation data is preferred data, and judging whether illegal enterprise emission exists according to the preferred data and the content of the target pollutants in the water area data;
and if not, determining that the illegal enterprise emission exists.
In some embodiments, the determining whether the illegal enterprise emission exists according to the content of the target pollutant in the preferred data and the water area data includes:
obtaining theoretical content of the target pollutant at the sink inlet according to the discharge amount of the target pollutant in the preferred data;
judging whether the difference value between the theoretical content and the content of the target pollutant in the water area data is larger than a set threshold value or not;
and if the number of the illegal emissions is larger than the set threshold value, determining that the illegal emissions of the enterprises exist.
In some embodiments, the theoretical content of the target pollutant at the sink inlet is obtained according to the discharge amount of the target pollutant in the estimation data, and the theoretical content of the target pollutant at the sink inlet is obtained according to the flow rate of the water in the water area data and the discharge amount of the target pollutant in the estimation data.
In some embodiments, further comprising:
acquiring emission applications of various enterprises; wherein, the emission application comprises basic enterprise information and the emission data;
checking whether the emission application meets the emission requirement;
and if so, outputting a discharge signal allowing discharge to the corresponding enterprise.
In some embodiments, after determining that the water pollutant with abnormal content is a target pollutant and determining that the emission data including the target pollutant on the corresponding tributary is evaluation data, the method further includes:
and outputting a stop signal for stopping enterprise emission corresponding to the evaluation data, and stopping auditing of the emission application containing the target pollutants until the content of the target pollutants in the water area data returns to a normal level, and then continuing auditing the emission application.
In some embodiments, the outputting a stop signal for stopping enterprise emission corresponding to the evaluation data and stopping auditing of the emission application containing the target pollutant until the emission application continues to be audited after the content of the target pollutant in the water area data returns to a normal level further includes:
judging whether the content of the target pollutants in the water area data is abnormal after a set time;
and if the abnormal condition exists, outputting an alarm signal.
In a second aspect, the invention also provides a river water quality monitoring and early warning device.
A river water quality monitoring early warning device, it includes:
the acquisition unit is configured to acquire water area data of each branch flow on a target flow section at a junction, wherein the water area data comprises water flow velocity, water pollutant types and contents of different water pollutants; acquiring emission data submitted by each enterprise on the tributary, wherein the emission data comprises the emission time of the enterprise, the type of the water pollutants to be emitted and the emission amount of the water pollutants of various types;
a determination control unit configured to determine whether or not the water area data has an abnormal water pollutant content of each kind; if the content of any kind of water pollutants in the water area data is abnormal, determining the water pollutants with abnormal content as target pollutants, and determining the emission data including the target pollutants on the corresponding branch as evaluation data; judging whether enterprise illegal discharge exists on the corresponding branch according to the water area data and the evaluation data;
and the output unit is configured to output risk early warning information if the illegal enterprise emission exists.
In a third aspect, the invention also provides river water quality monitoring and early warning equipment.
A river water quality monitoring and early warning device comprises a processor, a memory and a river water quality monitoring and early warning program which is stored on the memory and can be executed by the processor, wherein when the river water quality monitoring and early warning program is executed by the processor, the steps of the river water quality monitoring and early warning method are realized.
In a fourth aspect, the invention also provides a river water quality monitoring and early warning system.
A river water quality monitoring early warning system, it includes:
an enterprise terminal configured for submitting emission data of enterprises;
a data acquisition device configured to acquire water area data at the sink;
the monitoring center is configured to acquire water area data of each branch at the junction on the target flow section; wherein the water area data comprises water flow velocity, water pollutant types and contents of different water pollutants; acquiring emission data submitted by each enterprise on the tributary; wherein the discharge data comprises discharge time of an enterprise, types of discharged water pollutants and discharge amount of various types of water pollutants; judging whether the content of various water pollutants in the water area data is abnormal or not; if the content of any kind of water pollutants in the water area data is abnormal, determining the water pollutants with abnormal content as target pollutants, and determining the emission data including the target pollutants on the corresponding branch as evaluation data; judging whether enterprise illegal discharge exists on the corresponding branch according to the water area data and the evaluation data; and if the illegal enterprise emission exists, outputting risk early warning information.
The river water quality monitoring and early warning method, the device, the equipment and the system provided by the invention have the beneficial effects that:
the invention realizes that when the content of a certain water pollutant is found to be abnormal at a related sink, whether illegal operations such as stealing and draining multiple rows of enterprises exist or not is judged in time, and when the illegal draining condition of the enterprises is found, risk early warning information is output in time for prompting, so that related personnel can find out in time.
Drawings
Fig. 1 is a schematic diagram of a hardware structure of a river water quality monitoring and early warning device according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of a river water quality monitoring and early warning method according to a first embodiment of the invention;
fig. 3 is a functional module schematic diagram of a river water quality monitoring and early warning device according to a first embodiment of the invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In a first aspect, an embodiment of the present invention provides a river water quality monitoring and early warning device, which may be a Personal Computer (PC), a laptop, a server, or other devices with a data processing function.
Referring to fig. 1, fig. 1 is a schematic diagram of a hardware structure of a river water quality monitoring and early warning device according to an embodiment of the present invention. In the embodiment of the present invention, the river water quality monitoring and early warning device may include a processor 1001 (for example, a Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used for realizing connection communication among the components; the user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard); the network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WI-FI interface, WIreless FIdelity, WI-FI interface); the memory 1005 may be a Random Access Memory (RAM) or a non-volatile memory (non-volatile memory), such as a magnetic disk memory, and the memory 1005 may optionally be a storage device independent of the processor 1001. Those skilled in the art will appreciate that the hardware configuration depicted in FIG. 1 is not intended to be limiting of the present invention, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
With continued reference to fig. 1, the memory 1005 in fig. 1 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a river water quality monitoring and early warning program. The processor 1001 can call the river water quality monitoring and early warning program stored in the memory 1005 and execute the river water quality monitoring and early warning method provided by the embodiment of the invention.
In a second aspect, an embodiment of the present invention provides a river water quality monitoring and early warning method.
Referring to fig. 2, a river water quality monitoring and early warning method includes:
s100, acquiring water area data of each branch at a junction on a target flow section; wherein the water area data comprises water flow velocity, water pollutant types and different water pollutant contents;
s200, acquiring emission data submitted by each enterprise on the tributary; wherein the discharge data includes discharge time of an enterprise, kinds of discharged water pollutants, and discharge amount of each kind of water pollutants;
s300, judging whether the content of various water pollutants in the water area data is abnormal or not;
s400, if the content of any type of water pollutants in the water area data is abnormal, determining the water pollutants with abnormal content as target pollutants, and determining the emission data including the target pollutants on the corresponding branch as evaluation data;
s500, judging whether illegal enterprise discharge exists on the corresponding branch according to the water area data and the evaluation data;
and S600, outputting risk early warning information if illegal enterprise emission exists.
By the arrangement, when the abnormal content of certain water pollutants is found at the related gathering port, whether illegal operations such as stealing and draining multiple rows of enterprises exist or not is judged in time, and when the illegal draining condition of the enterprises is found, risk early warning information is output in time to prompt so that related personnel can find the abnormal content in time.
Wherein, step S300 specifically includes:
310. establishing a two-dimensional coordinate system of time related to the content of various water pollutants;
320. generating corresponding water pollutant content change curves according to the obtained different types of water pollutant content, and mapping the generated water pollutant content change curves into corresponding two-dimensional coordinate systems;
330. setting corresponding water pollutant content thresholds in corresponding two-dimensional coordinate systems; it should be further noted that, in the specific implementation process, the water pollution content thresholds set at different inlets are set by technicians according to actual conditions, that is, the water pollution content thresholds at different inlets may be different;
340. acquiring the position relation between each water pollutant content change curve and a water pollutant content threshold value;
350. when the water pollutant content change curve does not exceed the water pollutant content threshold, the corresponding type of water pollutant content of the corresponding inlet is normal;
360. when the water pollutant content change curve exceeds the water pollutant content threshold value, the corresponding water pollutant content of the corresponding type of the merging inlet is abnormal.
Further, step S500, determining whether there is an illegal enterprise discharge on the corresponding tributary according to the water area data and the evaluation data, includes:
s510, judging whether the evaluation data have evaluation data of which the discharge time corresponds to the time of the abnormal content of the target pollutants in the water area data;
s521, if yes, determining that the corresponding evaluation data is the preferred data, and judging whether illegal enterprise emission exists according to the preferred data and the content of the target pollutants in the water area data;
and S522, if the illegal emissions do not exist, determining that the illegal emissions of the enterprises exist.
By the arrangement, the first judgment is firstly carried out according to the discharge time of each evaluation data and the time of the abnormal content of the target pollutants in the water area data, and whether an enterprise steals the target pollutants can be judged at the first time under the condition that no enterprise applies for discharging the target pollutants. When an enterprise applies for discharging the target pollutants, the next judgment is carried out, so that the judgment logic is optimized, and the execution is more convenient and faster.
Further, the step S521 of determining whether there is illegal enterprise discharge according to the preferred data and the content of the target pollutant in the water area data includes:
s5211, obtaining the theoretical content of the target pollutants at the sink inlet according to the discharge amount of the target pollutants in the first-choice data;
s5212, judging whether the difference value between the theoretical content and the content of the target pollutant in the water area data is larger than a set threshold value or not;
and S5213, if the number of the illegal emissions is larger than the set threshold value, determining that the illegal emissions of enterprises exist.
Further, in the step S5211, the theoretical content of the target pollutant at the sink inlet is obtained according to the discharge amount of the target pollutant in the estimation data, and the theoretical content of the target pollutant at the sink inlet is obtained according to the flow rate of the water in the water area data and the discharge amount of the target pollutant in the estimation data.
Specifically, the theoretical content of the target pollutant at the sink inlet is obtained according to the discharge amount of the target pollutant in the evaluation data, and the theoretical content of the target pollutant corresponding to each evaluation data is recorded as SL;
wherein SL = v -1 ×k×BS；
V is the water flow velocity in the water area data corresponding to the convergence port, k is a set coefficient of the tributaries of the enterprise in the Yangtze river, and is related to the season, the basin area and the distance between the enterprise and the convergence port, and BS is the discharge amount in the enterprise discharge data, namely the discharge amount in the evaluation data;
summarizing the theoretical content of the target pollutant corresponding to all the evaluation data, obtaining the theoretical content of the target pollutant at the inlet, recording as LZ, and comparing with the content CZ of the target pollutant in the obtained water area data:
if CZ-LZ is larger than or equal to a, determining that illegal enterprise emission exists;
wherein a is a system preset threshold.
By the arrangement, when the difference between the theoretical content and the content of the target pollutant in the water area data is larger than the set threshold, the difference between the theoretical content and the content of the target pollutant in the water area data is too large, and the current illegal enterprise emission is reflected. The set threshold is set by a technician according to actual conditions, and is embodied by an error value which can occur in actual discharge.
Further, the method provided by the present application further includes:
s010, acquiring emission applications of various enterprises; wherein the emission application comprises enterprise basic information and the emission data;
s020, checking whether the emission application meets the emission requirement;
and S030, if the discharge signals are met, outputting the discharge signals allowing discharge to corresponding enterprises.
Further, the step S400, if the content of any kind of water pollutant in the water area data is abnormal, after determining that the water pollutant with the abnormal content is a target pollutant and determining that the emission data including the target pollutant on the corresponding branch is evaluation data, further includes:
s700, outputting a stop signal for stopping enterprise emission corresponding to the evaluation data, and stopping auditing of the emission application containing the target pollutants until the content of the target pollutants in the water area data returns to a normal level, and then continuing auditing the emission application.
By the arrangement, target pollutants can be timely discharged into the river by each enterprise, so that the content of the target pollutants in the river is prevented from being continuously increased, and the environment quality of the river is effectively guaranteed.
Further, the step S700 of outputting a stop signal for stopping enterprise emission corresponding to the evaluation data, and stopping auditing of the emission application including the target pollutant until the content of the target pollutant in the water area data returns to a normal level, and then continuing to audit the emission application, further includes:
s800, judging whether the content of the target pollutants in the water area data is abnormal after a set time;
and S900, outputting an alarm signal if the abnormal condition exists.
Due to the arrangement, after the signal of stopping discharge is output, if the content of the target object at the water collection port still cannot be reduced to a normal level within the set time, the fact that a large amount of illegal discharge is still carried out by an enterprise at the moment is indicated, and an alarm signal can be timely output to remind relevant personnel of further investigation and treatment.
In a third aspect, the embodiment of the invention also provides a river water quality monitoring and early warning device.
Referring to fig. 3, a functional module diagram of a first embodiment of a river water quality monitoring and early warning device is shown.
In this embodiment, river water quality monitoring early warning device includes:
the acquisition unit is configured to acquire water area data of each branch flow on a target flow section at a junction, wherein the water area data comprises water flow velocity, water pollutant types and contents of different water pollutants; acquiring emission data submitted by each enterprise on the tributary, wherein the emission data comprises the emission time of the enterprise, the type of the water pollutants to be emitted and the emission amount of the water pollutants of various types;
a determination control unit configured to determine whether or not the water area data has an abnormal water pollutant content of each kind; if the content of any kind of water pollutants in the water area data is abnormal, determining the water pollutants with abnormal content as target pollutants, and determining the emission data including the target pollutants on the corresponding branch as evaluation data; judging whether enterprise illegal discharge exists on the corresponding branch according to the water area data and the evaluation data;
and the output unit is configured to output risk early warning information if the illegal enterprise emission exists.
The function realization of each module in the river water quality monitoring and early warning device corresponds to each step in the embodiment of the river water quality monitoring and early warning method, and the function and the realization process are not repeated herein.
The fourth aspect is a river water quality monitoring and early warning system.
A river water quality monitoring early warning system, it includes:
an enterprise terminal configured for submitting emission data of enterprises;
a data acquisition device configured to acquire water area data at the sink;
the monitoring center is configured to acquire water area data of each branch at the junction on the target flow section; wherein the water area data comprises water flow velocity, water pollutant types and different water pollutant contents; acquiring emission data submitted by each enterprise on the tributary; wherein the discharge data includes discharge time of an enterprise, kinds of discharged water pollutants, and discharge amount of each kind of water pollutants; judging whether the content of various water pollutants in the water area data is abnormal or not; if the content of any type of water pollutants in the water area data is abnormal, determining the water pollutants with abnormal content as target pollutants, and determining the emission data including the target pollutants on the corresponding tributaries as evaluation data; judging whether enterprise illegal discharge exists on the corresponding branch according to the water area data and the evaluation data; and if the illegal enterprise emission exists, outputting risk early warning information.
Further, the enterprise terminal is configured to submit an emission application of the enterprise to the detection center, the emission application comprises enterprise basic information and emission data, and the enterprise basic information comprises emission qualification of the enterprise. And the monitoring center checks after receiving the emission application, judges whether the emission qualification of the enterprise and the relevant indexes of each water pollutant in the emission data meet the requirements or not, and outputs an emission signal allowing emission to the enterprise terminal when the emission qualification and the relevant indexes of each water pollutant in the emission data meet the requirements.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for causing a terminal device to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A river water quality monitoring and early warning method is characterized by comprising the following steps:
acquiring water area data of each branch at a junction on a target flow section; wherein the water area data comprises water flow velocity, water pollutant types and different water pollutant contents;
acquiring emission data submitted by each enterprise on the tributary; wherein the discharge data comprises discharge time of an enterprise, types of discharged water pollutants and discharge amount of various types of water pollutants;
judging whether the content of various water pollutants in the water area data is abnormal or not;
if the content of any kind of water pollutants in the water area data is abnormal, determining the water pollutants with abnormal content as target pollutants, and determining the emission data including the target pollutants on the corresponding branch as evaluation data;
judging whether enterprise illegal discharge exists on the corresponding branch according to the water area data and the evaluation data;
and if illegal enterprise emission exists, outputting risk early warning information.
2. The river water quality monitoring and early warning method according to claim 1, wherein the determining whether there is an illegal enterprise discharge on the corresponding tributary according to the water area data and the evaluation data comprises:
judging whether the evaluation data has evaluation data corresponding to the discharge time and the time of the abnormal content of the target pollutants in the water area data;
if yes, determining that the corresponding evaluation data is preferred data, and judging whether illegal enterprise emission exists according to the preferred data and the content of the target pollutants in the water area data;
and if not, determining that the illegal enterprise emission exists.
3. The river water quality monitoring and early warning method according to claim 2, wherein the determining whether there is an illegal enterprise discharge according to the content of the target pollutant in the preferred data and the water area data comprises:
obtaining theoretical content of the target pollutants at the sink inlet according to the discharge amount of the target pollutants in the first-choice data;
judging whether the difference value between the theoretical content and the content of the target pollutant in the water area data is larger than a set threshold value or not;
and if the value is larger than the set threshold value, determining that the illegal enterprise emission exists.
4. The method according to claim 3, wherein the theoretical content of the target pollutant at the inlet is obtained according to the discharge amount of the target pollutant in the estimation data, and the theoretical content of the target pollutant at the inlet is obtained according to the flow rate of the water in the water area data and the discharge amount of the target pollutant in the estimation data.
5. The river water quality monitoring and early warning method of claim 3, further comprising:
acquiring emission applications of various enterprises; wherein the emission application comprises enterprise basic information and the emission data;
checking whether the emission application meets the emission requirement;
and if so, outputting a discharge signal allowing discharge to the corresponding enterprise.
6. The method of monitoring and early warning river water quality according to claim 5, wherein after determining that the water pollution of abnormal content is target pollution and the emission data including the target pollution on the corresponding branch is evaluation data, the method further comprises:
and outputting a stop signal for stopping enterprise emission corresponding to the evaluation data, and stopping auditing of the emission application containing the target pollutants until the content of the target pollutants in the water area data returns to a normal level, and then continuing auditing the emission application.
7. The method of claim 5, wherein the outputting of a stop signal for stopping enterprise discharge corresponding to the evaluation data and stopping the application for discharge of the target pollutant until the content of the target pollutant in the water area data returns to a normal level, further comprises:
judging whether the content of the target pollutants in the water area data is abnormal after a set time;
and if the abnormal condition exists, outputting an alarm signal.
8. The utility model provides a river water quality monitoring early warning device which characterized in that, it includes:
the acquisition unit is configured to acquire water area data of each branch flow on a target flow section at a junction, wherein the water area data comprises water flow velocity, water pollutant types and contents of different water pollutants; acquiring emission data submitted by each enterprise on the tributary, wherein the emission data comprises the emission time of the enterprise, the type of the water pollutants to be emitted and the emission amount of the water pollutants of various types;
a determination control unit configured to determine whether or not the water area data has an abnormal water pollutant content of each kind; if the content of any type of water pollutants in the water area data is abnormal, determining the water pollutants with abnormal content as target pollutants, and determining the emission data including the target pollutants on the corresponding tributaries as evaluation data; judging whether enterprise illegal discharge exists on the corresponding branch according to the water area data and the evaluation data;
and the output unit is configured to output risk early warning information if the illegal enterprise emission exists.
9. A river water quality monitoring and early warning device, which is characterized by comprising a processor, a memory and a river water quality monitoring and early warning program which is stored on the memory and can be executed by the processor, wherein when the river water quality monitoring and early warning program is executed by the processor, the steps of the river water quality monitoring and early warning method as claimed in any one of claims 1 to 7 are realized.
10. A river water quality monitoring early warning system which is characterized in that it includes:
an enterprise terminal configured for submitting emission data of enterprises;
a data acquisition device configured to acquire water area data at the sink;
the monitoring center is configured to acquire water area data of each branch at the junction on the target flow section; wherein the water area data comprises water flow velocity, water pollutant types and different water pollutant contents; acquiring emission data submitted by each enterprise on the tributary; wherein the discharge data includes discharge time of an enterprise, kinds of discharged water pollutants, and discharge amount of each kind of water pollutants; judging whether the content of various water pollutants in the water area data is abnormal or not; if the content of any kind of water pollutants in the water area data is abnormal, determining the water pollutants with abnormal content as target pollutants, and determining the emission data including the target pollutants on the corresponding branch as evaluation data; judging whether enterprise illegal discharge exists on the corresponding branch according to the water area data and the evaluation data; and if the illegal enterprise emission exists, outputting risk early warning information.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117034041A (en) * | 2023-10-08 | 2023-11-10 | 山东智云信息科技有限公司 | Enterprise pollution level assessment system and processing method based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117034041A (en) * | 2023-10-08 | 2023-11-10 | 山东智云信息科技有限公司 | Enterprise pollution level assessment system and processing method based on big data |
| CN117034041B (en) * | 2023-10-08 | 2024-01-26 | 山东智云信息科技有限公司 | Enterprise pollution level assessment system and processing method based on big data |
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